National Library of Energy BETA

Sample records for region rse row

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

    Gasoline and Diesel Fuel Update (EIA)

    2a. Housing Unit Characteristics by West Census Region, Million U.S. Households, 2001 Housing Unit Characteristics RSE Column Factor: Total U.S. West Census Region RSE Row Factors...

  2. 2003 CBECS RSE Tables

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

    of the Excel tables (access from main detailed tables page) or in PDF format here: Building Characteristics for All Buildings (Tables A1-A8) RSE Tables: PDF, 16 pages, 312KB...

  3. RSE Wind | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIX E LIST OFAMERICA'SHeavyAgency (IRENA)OptionsEquivalent URI JumpbsamenAnatoliaRSE Wind

  4. char_household2001.pdf

    Gasoline and Diesel Fuel Update (EIA)

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

  5. ac_household2001.pdf

    Gasoline and Diesel Fuel Update (EIA)

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

  6. appl_household2001.pdf

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

    0a. Appliances by Midwest Census Region, Million U.S. Households, 2001 Appliance Types and Characteristics RSE Column Factor: Total U.S. Midwest Census Region RSE Row Factors Total...

  7. char_household2001.pdf

    Gasoline and Diesel Fuel Update (EIA)

    2a. Household Characteristics by West Census Region, Million U.S. Households, 2001 Household Characteristics RSE Column Factor: Total U.S. West Census Region RSE Row Factors Total...

  8. char_household2001.pdf

    Gasoline and Diesel Fuel Update (EIA)

    0a. Household Characteristics by Midwest Census Region, Million U.S. Households, 2001 Household Characteristics RSE Column Factor: Total U.S. Midwest Census Region RSE Row Factors...

  9. appl_household2001.pdf

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

    1a. Appliances by South Census Region, Million U.S. Households, 2001 Appliance Types and Characteristics RSE Column Factor: Total U.S. South Census Region RSE Row Factors Total...

  10. appl_household2001.pdf

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

    9a. Appliances by Northeast Census Region, Million U.S. Households, 2001 Appliance Types and Characteristics RSE Column Factor: Total U.S. Northeast Census Region RSE Row Factors...

  11. ac_household2001.pdf

    Gasoline and Diesel Fuel Update (EIA)

    2a. Air Conditioning by West Census Region, Million U.S. Households, 2001 Air Conditioning Characteristics RSE Column Factor: Total U.S. West Census Region RSE Row Factors Total...

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

    Gasoline and Diesel Fuel Update (EIA)

    0a. Housing Unit Characteristics by Midwest Census Region, Million U.S. Households, 2001 Housing Unit Characteristics RSE Column Factor: Total U.S. Midwest Census Region RSE Row...

  13. ac_household2001.pdf

    Gasoline and Diesel Fuel Update (EIA)

    0a. Air Conditioning by Midwest Census Region, Million U.S. Households, 2001 Air Conditioning Characteristics RSE Column Factor: Total U.S. Midwest Census Region RSE Row Factors...

  14. char_household2001.pdf

    Gasoline and Diesel Fuel Update (EIA)

    1a. Household Characteristics by South Census Region, Million U.S. Households, 2001 Household Characteristics RSE Column Factor: Total U.S. South Census Region RSE Row Factors...

  15. appl_household2001.pdf

    Gasoline and Diesel Fuel Update (EIA)

    2a. Appliances by West Census Region, Million U.S. Households, 2001 Appliance Types and Characteristics RSE Column Factor: Total U.S. West Census Region RSE Row Factors Total...

  16. ac_household2001.pdf

    Gasoline and Diesel Fuel Update (EIA)

    1a. Air Conditioning by South Census Region, Million U.S. Households, 2001 Air Conditioning Characteristics RSE Column Factor: Total U.S. South Census Region RSE Row Factors Total...

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

    Gasoline and Diesel Fuel Update (EIA)

    1a. Housing Unit Characteristics by South Census Region, Million U.S. Households, 2001 Housing Unit Characteristics RSE Column Factor: Total U.S. South Census Region RSE Row...

  18. homeoffice_household2001.pdf

    Gasoline and Diesel Fuel Update (EIA)

    0a. Home Office Equipment by Midwest Census Region, Million U.S. Households, 2001 Home Office Equipment RSE Column Factor: Total U.S. Midwest Census Region RSE Row Factors Total...

  19. homeoffice_household2001.pdf

    Gasoline and Diesel Fuel Update (EIA)

    1a. Home Office Equipment by South Census Region, Million U.S. Households, 2001 Home Office Equipment RSE Column Factor: Total U.S. South Census Region RSE Row Factors Total Census...

  20. homeoffice_household2001.pdf

    Gasoline and Diesel Fuel Update (EIA)

    9a. Home Office Equipment by Northeast Census Region, Million U.S. Households, 2001 Home Office Equipment RSE Column Factor: Total U.S. Northeast Census Region RSE Row Factors...

  1. homeoffice_household2001.pdf

    Gasoline and Diesel Fuel Update (EIA)

    2a. Home Office Equipment by West Census Region, Million U.S. Households, 2001 Home Office Equipment RSE Column Factor: Total U.S. West Census Region RSE Row Factors Total Census...

  2. 1989 CBECS EUI

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

    5. Electricity Consumption and Expenditure Intensities, 1992 Building Characteristics RSE Column Factor: Electricity Consumption Electricity Expenditures RSE Row Factor per...

  3. 1989 CBECS EUI

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

    reported for fewer than 20 buildings. Notes: * To obtain the RSE percentage for any table cell, multiply the corresponding RSE column and RSE row factors. * See Glossary for...

  4. 1995 CECS C&E Tables

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

    reported for fewer than 20 buildings. Notes: * To obtain the RSE percentage for any table cell, multiply the corresponding RSE column and RSE row factors. * See Glossary for...

  5. Economic Implications of New Crops, Row Damming and Land Clearing in the Texas Winter Garden 

    E-Print Network [OSTI]

    Muncrief, G.E.; Lacewell, R. D.; Cornforth, G. C.; Pena, J. G.

    1983-01-01

    cotton), row damming, and conversion of range to cropland was evaluated using a regional linear programming model. Temporal analysis, 1981-2001, incorporated changes in groundwater availability, static groundwater levels, and corresponding fixed...

  6. Standing corn rows needed to help

    E-Print Network [OSTI]

    Minnesota, University of

    Standing corn rows needed to help reduce drifting snow By PAULA MOHR T HE Minnesota Department of Transportation is looking for more farmers to par- ticipate in its standing corn row program to help reduce and pays farmers to leave cornstalks up throughout the winter. Farmers are reimbursed for standing corn

  7. Roswell International Air Center Airport (ROW) Pavement Condition and Analysis

    E-Print Network [OSTI]

    Cal, Mark P.

    Roswell International Air Center Airport (ROW) Pavement Condition and Analysis Submitted to: Jane M ................................................1. Conditions at Roswell International Air Center (ROW) 4 .................................Figure 1. Geographic Location of Roswell International Air Center (ROW) 4 ..............................Table 1

  8. Self-organization of S adatoms on Au(111). ?3R30° rows at low coverage

    DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)

    Walen, Holly; Liu, Da-Jiang; Oh, Junepyo; Lim, Hyunseob; Evans, J. W.; Kim, Yousoo; Thiel, P. A.

    2015-07-06

    Using scanning tunneling microscopy, we observe an adlayer structure that is dominated by short rows of S atoms, on unreconstructed regions of a Au(111) surface. This structure forms upon adsorption of low S coverage (less than 0.1 monolayer) on a fully reconstructed cleansurface at 300 K, then cooling to 5 K for observation. The rows adopt one of three orientations that are rotated by 30° from the close-packed directions of the Au(111) substrate, and adjacent S atoms in the rows are separated by ?3 times the surface lattice constant, a. Monte Carlo simulations are performed on lattice-gas models, we derivedmore »using a limited cluster expansion based on density functional theory energetics. Furthermore, models which include long-range pairwise interactions (extending to 5a), plus selected trio interactions, successfully reproduce the linear rows of S atoms at reasonable temperatures.« less

  9. Optimization of row spacing and nitrogen fertilization for cotton 

    E-Print Network [OSTI]

    Clawson, Ernest Leslie

    2004-09-30

    Ultra-narrow row (UNR) cotton (Gossypium hirsutum L.) is a production system using high plant populations in reduced row spacings. The responses of this production system to nitrogen fertilizer have not been fully investigated. Evaluations...

  10. 1989 CBECS EUI

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

    Table 3.2. Total Energy Consumption by Major Fuel, 1992 Building Characteristics RSE Column Factor: All Buildings Total Energy Consumption (trillion Btu) RSE Row Factor Number of...

  11. 1995 CECS C&E Tables

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

    Major Fuel, 1995 Building Characteristics RSE Column Factor: All Buildings Total Energy Consumption (trillion Btu) Primary Electricity (trillion Btu) RSE Row Factor Number of...

  12. 1989 CBECS EUI

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

    . Consumption for Sum of Major Fuels, 1992 Building Characteristics RSE Column Factor: All Buildings Sum of Major Fuel Consumption RSE Row Factor Number of Buildings (thousand)...

  13. 1989 CBECS EUI

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

    . Expenditures for Sum of Major Fuels, 1992 Building Characteristics RSE Column Factor: All Buildings Sum of Major Fuel Expenditures RSE Row Factor Number of Buildings (thousand)...

  14. 1989 CBECS EUI

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

    . Total Energy Consumption by Major Fuel, 1992 Building Characteristics RSE Column Factor: All Buildings Total Energy Consumption (trillion Btu) RSE Row Factor Number of Buildings...

  15. Table HC1-2a. Housing Unit Characteristics by Year of Construction...

    Gasoline and Diesel Fuel Update (EIA)

    2a. Housing Unit Characteristics by Year of Construction, Million U.S. Households, 2001 Housing Unit Characteristics RSE Column Factor: Total Year of Construction RSE Row Factors...

  16. char_household2001.pdf

    Gasoline and Diesel Fuel Update (EIA)

    2a. Household Characteristics by Year of Construction, Million U.S. Households, 2001 Household Characteristics RSE Column Factor: Total Year of Construction RSE Row Factors 1990 to...

  17. The Equivalence between Row and Column Linear Regression

    E-Print Network [OSTI]

    Tresp, Volker

    The Equivalence between Row and Column Linear Regression: A Surprising Feature of Linear Regression and Communications 81730 M¨unchen, Germany Abstract The rows of the design matrix in linear regression are the inputs of the training data set. Normal regression is row regression: the goal is to predict a training target from

  18. Propulsive Efficiency of Rowing Oars David S. Cabrera1

    E-Print Network [OSTI]

    Ruina, Andy L.

    Propulsive Efficiency of Rowing Oars David S. Cabrera1 Andy L. Ruina2 Department of Theoretical Is the common folklore, that oars are less efficient at propulsion than propellers, correct? Here we examine the propulsive efficiency of the oars used in competitive rowing. We take the propulsive efficiency of rowing

  19. BLM ROW Grant Template | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION JEnvironmental Jump to:EAandAmminex AAustria GeothermalInformationColor40 -Open EnergyROW Grant

  20. CSLB ROW Forms | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION JEnvironmentalBowerbank, Maine:Kansas: Energy Resources JumpCIA-TheCSC/UND Team 3 <News andROW

  1. CSLC ROW Forms | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION JEnvironmentalBowerbank, Maine:Kansas: Energy Resources JumpCIA-TheCSC/UND Team 3 <NewsFormsROW

  2. Wavelet analysis of MODIS time series to detect expansion and intensification of row-crop agriculture in Brazil

    E-Print Network [OSTI]

    Vermont, University of

    and agriculture, including changes in carbon and nitrogen storage, trace gas emissions, quality of surface water from natural vegetation and pastures to row-crop agricultural with the potential to affect regional changed. Today, pastures and areas of natural vegetation are being converted to large-scale croplands

  3. Homogenisation of a Row of Dislocation Dipoles

    E-Print Network [OSTI]

    Stephen Jonathan Chapman; Yang Xiang; Yichao Zhu

    2015-04-27

    Conventional discrete-to-continuum approaches have seen their limitation in describing the collective behaviour of the multi-polar configurations of dislocations, which are widely observed in crystalline materials. The reason is that dislocation dipoles, which play an important role in determining the mechanical properties of crystals, often get smeared out when traditional homogenisation methods are applied. To address such difficulties, the collective behaviour of a row of dislocation dipoles is studied by using matched asymptotic techniques. The discrete-to-continuum transition is facilitated by introducing two field variables respectively describing the dislocation pair density potential and the dislocation pair width. It is found that the dislocation pair width evolves much faster than the pair density. Such hierarchy in evolution time scales enables us to describe the dislocation dynamics at the coarse-grained level by an evolution equation for the slowly varying variable (the pair density) coupled with an equilibrium equation for the fast varying variable (the pair width). The time-scale separation method adopted here paves a way for properly incorporating dipole-like (zero net Burgers vector but non-vanishing) dislocation structures, known as the statistically stored dislocations (SSDs) into macroscopic models of crystal plasticity in three dimensions. Moreover, the natural transition between different equilibrium patterns found here may also shed light on understanding the emergence of the persistent slip bands (PSBs) in fatigue metals induced by cyclic loads.

  4. DOE Tour of Zero Floorplans: Row Homes at Perrin's Row by New Town Builders

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE:FinancingPetroleum Based| Department8, 2015 GATEWAY Takes onandField| Department of Energy Row

  5. 2003 CBECS RSE Tables

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)Decade Year-0ProvedDecade Year-0Cubic Monthly

  6. 30.-DEEP-WATER OYSTER CULTURE. BP HENRY C. ROWE.

    E-Print Network [OSTI]

    30.-DEEP-WATER OYSTER CULTURE. BP HENRY C. ROWE. It is conceded,I think, that the oyster-growersof Ckmnecticut have taken the lead in the artificial propagation and cultivation of oysters in deep water; by deep water I mean a depth of from 30 to 75 feet. It is but twenty years since the commencement

  7. Thread Row Buffers: Improving Memory Performance Isolation and Throughput

    E-Print Network [OSTI]

    Tullsen, Dean M.

    and energy efficiency. Furthermore, concurrent execution of applications also has shown the needThread Row Buffers: Improving Memory Performance Isolation and Throughput in Multiprogrammed of performance isolation among threads in the memory controller to enforce a quality of service in virtualized

  8. PERFORMANCE OF A SINGLE-ROW HEAT EXCHANGER AT LOW IN-TUBE FLOW RATES

    E-Print Network [OSTI]

    Sen, Mihir

    PERFORMANCE OF A SINGLE-ROW HEAT EXCHANGER AT LOW IN-TUBE FLOW RATES A Thesis Submitted April 1995 #12;PERFORMANCE OF A SINGLE-ROW HEAT EXCHANGER AT LOW IN-TUBE FLOW RATES by Xiangwei Zhao Abstract The steady and time-dependentbehavior of a single-row heat exchanger with water and air in the in

  9. Effects of row spacing on diseases, herbicide persistence, and qualitative characteristics of peanut 

    E-Print Network [OSTI]

    Besler, Brent Alan

    2005-08-29

    in twin rows to reduce diclosulam and imazapic residual concentrations was not apparent. Georgia Green and Tamrun 96 planted in twin rows at three of the four locations in 1999 and 2000 yielded higher than peanuts planted in conventional rows. Yields...

  10. CTHB Mentorship group of 2011. Back Row (left to right): Markus Wilken, Angelique du Preez, Brigitte Van Dyk, Shaun van der Walt, Ethan Besaans. Third row: Tanweer Mahomed, Danielle Roodt, Estine Theron, Wilke

    E-Print Network [OSTI]

    , Brigitte Van Dyk, Shaun van der Walt, Ethan Besaans. Third row: Tanweer Mahomed, Danielle Roodt, Estine

  11. 1992 CBECS C & E

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

    of District Heat by End Use, 1989 District Heat Consumption (trillion Btu) Space Water a Total Heating Heating Other RSE Building Row Characteristics Factor 1.0 NF NF NF RSE...

  12. 1992 CBECS C & E

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

    0. Consumption of Fuel Oil by End Use, 1989 Fuel Oil Consumption (trillion Btu) Space Water a Total Heating Heating Other RSE Building Row Characteristics Factor 1.0 NF NF NF RSE...

  13. 1992 CBECS C&E Table 3.29

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

    per Square Foot and Load Factors, 1992 Building Characteristics RSE Column Factor: All Demand-Metered Buildings Peak Watts per Square Foot Load Factor RSE Row Factor Number of...

  14. 1997 Housing Characteristics Tables Housing Unit Tables

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

    1997 Housing Unit Characteristics RSE Column Factor: Total 1997 Household Income Below Poverty Line Eli- gible for Fed- eral Assist- ance 1 RSE Row Factors Less than 10,000...

  15. S:\\VM3\\RX97\\TBL_LIST.WPD [PFP#201331587

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

    1997 Home Office Equipment RSE Column Factor: Total 1997 Household Income Below Poverty Line Eli- gible for Fed- eral Assist- ance 1 RSE Row Factors Less than 10,000...

  16. 1997 Housing Characteristics Tables Home Office Equipment Tables

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

    1997 Home Office Equipment RSE Column Factor: Total 1997 Household Income Below Poverty Line Eli- gible for Fed- eral Assist- ance 1 RSE Row Factors Less than 10,000...

  17. appl_household2001.pdf

    Gasoline and Diesel Fuel Update (EIA)

    2001 Appliance Types and Characteristics RSE Column Factor: Total U.S. Four Most Populated States RSE Row Factors New York California Texas Florida 0.4 1.2 1.1 1.4 1.3 Total...

  18. Table HC1-8a. Housing Unit Characteristics by Urban/Rural Location...

    Gasoline and Diesel Fuel Update (EIA)

    8a. Housing Unit Characteristics by UrbanRural Location, Million U.S. Households, 2001 Housing Unit Characteristics RSE Column Factor: Total UrbanRural Location 1 RSE Row Factors...

  19. appl_household2001.pdf

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

    8a. Appliances by UrbanRural Location, Million U.S. Households, 2001 Appliance Types and Characteristics RSE Column Factor: Total UrbanRural Location 1 RSE Row Factors City Town...

  20. appl_household2001.pdf

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

    2a. Appliances by Year of Construction, Million U.S. Households, 2001 Appliance Types and Characteristics RSE Column Factor: Total Year of Construction RSE Row Factors 1990 to 2001...

  1. ac_household2001.pdf

    Gasoline and Diesel Fuel Update (EIA)

    4a. Air Conditioning by Type of Housing Unit, Million U.S. Households, 2001 Air Conditioning Characteristics RSE Column Factor: Total Type of Housing Unit RSE Row Factors...

  2. ac_household2001.pdf

    Gasoline and Diesel Fuel Update (EIA)

    8a. Air Conditioning by UrbanRural Location, Million U.S. Households, 2001 Air Conditioning Characteristics RSE Column Factor: Total UrbanRural Location 1 RSE Row Factors City...

  3. char_household2001.pdf

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

    2001 Household Characteristics RSE Column Factor: Total U.S. Four Most Populated States RSE Row Factors New York California Texas Florida 0.4 1.1 1.0 1.5 1.5 Total...

  4. char_household2001.pdf

    Gasoline and Diesel Fuel Update (EIA)

    8a. Household Characteristics by UrbanRural Location, Million U.S. Households, 2001 Household Characteristics RSE Column Factor: Total UrbanRural Location 1 RSE Row Factors City...

  5. appl_household2001.pdf

    Gasoline and Diesel Fuel Update (EIA)

    4a. Appliances by Type of Housing Unit, Million U.S. Households, 2001 Appliance Types and Characteristics RSE Column Factor: Total Type of Housing Unit RSE Row Factors...

  6. char_household2001.pdf

    Gasoline and Diesel Fuel Update (EIA)

    a. Household Characteristics by Climate Zone, Million U.S. Households, 2001 Household Characteristics RSE Column Factor: Total Climate Zone 1 RSE Row Factors Fewer than 2,000 CDD...

  7. ac_household2001.pdf

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

    2a. Air Conditioning by Year of Construction, Million U.S. Households, 2001 Air Conditioning Characteristics RSE Column Factor: Total Year of Construction RSE Row Factors 1990 to...

  8. spaceheat_household2001.pdf

    Gasoline and Diesel Fuel Update (EIA)

    2a. Space Heating by Year of Construction, Million U.S. Households, 2001 Space Heating Characteristics RSE Column Factor: Total Year of Construction RSE Row Factors 1990 to 2001 1...

  9. ac_household2001.pdf

    Gasoline and Diesel Fuel Update (EIA)

    a. Air Conditioning by Climate Zone, Million U.S. Households, 2001 Air Conditioning Characteristics RSE Column Factor: Total Climate Zone 1 RSE Row Factors Fewer than 2,000 CDD and...

  10. homeoffice_household2001.pdf

    Gasoline and Diesel Fuel Update (EIA)

    2a. Home Office Equipment by Year of Construction, Million U.S. Households, 2001 Home Office Equipment RSE Column Factor: Total Year of Construction RSE Row Factors 1990 to 2001 1...

  11. Table HC7-8a. Home Office Equipment by Urban/Rural Location...

    Gasoline and Diesel Fuel Update (EIA)

    8a. Home Office Equipment by UrbanRural Location, Million U.S. Households, 2001 Home Office Equipment RSE Column Factor: Total UrbanRural Location 1 RSE Row Factors City Town...

  12. untitled

    Gasoline and Diesel Fuel Update (EIA)

    4a. Home Office Equipment by Type of Housing Unit, Million U.S. Households, 2001 Home Office Equipment RSE Column Factor: Total Type of Housing Unit RSE Row Factors Single-Family...

  13. homeoffice_household2001.pdf

    Gasoline and Diesel Fuel Update (EIA)

    2001 Home Office Equipment RSE Column Factor: Total U.S. Four Most Populated States RSE Row Factors New York California Texas Florida 0.4 1.1 1.0 1.5 1.5 Total...

  14. File:UtilityROW.pdf | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QAsource History View New Pages RecentTempCampApplicationWorksheet 2011.pdfSD.pdf JumpUstactUtilityROW.pdf Jump to:

  15. NMSLO Application for ROW Easement | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QAsource History ViewMayo, Maryland: EnergyInformationOliver,Minnesota:EnergyNARI|Forms12State Lands | OpenROW

  16. Effects of plant density and row spacing on the ratooning of sorghum (Sorghum bicolor (L.) Moench) 

    E-Print Network [OSTI]

    Priwin A., Ricardo A

    1977-01-01

    and 296, 000 plants/ha and row widths of 101. 6 cm and 67. 7 cm. After grain harvest of the parent crop the plants were cut down to 8 cm above ground level and al- lowed to regrow. Data obtained were days to 50'4 flower, plant measurements, yield... with each population increase. Rows 67. 7 cm wide were two days earlier in reaching SOS flower and had a higher grain and stover yield. Rows -101. 6 cm wide had a higher percent of survival after cutting but rows 67. 7 cm wide gave a higher number of re...

  17. UK, Europe, & ROW (excl. Australia & Canada): USA: Australia: Direct Customer Services, Palgrave Macmillan, VHPS, Customer Services,

    E-Print Network [OSTI]

    Kallenrode, May-Britt

    UK, Europe, & ROW (excl. Australia & Canada): USA: Australia: Direct Customer Services, Palgrave migration in Europe, this book is a welcome contribution to the literature on migration." - Rhacel Parreñas

  18. Turbine Blade Row Optimization Through Endwall Contouring by an Adjoint Method

    E-Print Network [OSTI]

    Liu, Feng

    function, regardless of the number of design parameters. Flow loss through the blade row is minimized while blade at off-design conditions is also evaluated and compared with that of the original blade algorithms (GAs) [4­6] aregaining usage in practical engineering design of turbomachinery blade rows. Besides

  19. High Fidelity Modeling of Blade Row Interaction in a Transonic Compressor

    E-Print Network [OSTI]

    Cincinnati, University of

    High Fidelity Modeling of Blade Row Interaction in a Transonic Compressor Michael G. List on the compressor. Three dierent axial spacings between the rotor and the upstream blade row have been simulated of Cincinnati, Cincinnati, OH, 45221 In order to accurately model the physics associated with losses

  20. Power Handling of the Bulk Tungsten Divertor Row at JET: First Measurements and Comparison to the GTM Thermal Model

    E-Print Network [OSTI]

    Power Handling of the Bulk Tungsten Divertor Row at JET: First Measurements and Comparison to the GTM Thermal Model

  1. Effect of tillage systems, row configuration-spacing and plant population on soil physical properties, evapotranspiration and dryland sorghum yields 

    E-Print Network [OSTI]

    Salinas-Garcia, Jaime Roel

    1981-01-01

    in the convencional plots (101. 6-cm rows). The increase in yield was due primarily to the larger number of heads at harvest as compared with the conventional row-spacing. Clegg et al. (1972) observed that variation of row width can be used in greater utilization...

  2. Buildings and Energy in the 1980's (TABLES)

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

    in Residential Buildings, 1984 End Uses RSE Row Fac- tors All End Uses Space Heating Water Heating Air Conditioning Appliances Building Characteristics Buildings (thou- sand)...

  3. Buildings and Energy in the 1980's (TABLES)

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

    in Residential Buildings, 1987 End Uses RSE Row Fac- tors All End Uses Space Heating Water Heating Air Conditioning Appliances Building Characteristics Buildings (thou- sand)...

  4. Buildings and Energy in the 1980's (TABLES)

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

    1982 End Uses RSE Row Fac- tors All End Uses Space Heating Water Heating Air Conditioning Appliances Building Characteristics Buildings (thou- sand) Consump- tion...

  5. Buildings and Energy in the 1980's (TABLES)

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

    1980 End Uses RSE Row Fac- tors All End Uses Space Heating Water Heating Air Conditioning Appliances Building Characteristics Buildings (thou- sand) Consump- tion...

  6. Buildings and Energy in the 1980's (TABLES)

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

    1981 End Uses RSE Row Fac- tors All End Uses Space Heating Water Heating Air Conditioning Appliances Building Characteristics Buildings (thou- sand) Consump- tion...

  7. Buildings and Energy in the 1980's (TABLES)

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

    than 10 households were sampled. Notes: * To obtain the RSE percentage for any table cell, multiply the corresponding column and row factors. * Because of rounding, data may...

  8. S:\\VM3\\RX97\\TBL_LIST.WPD

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

    than 10 households were sampled. Notes: * To obtain the RSE percentage for any table cell, multiply the corresponding column and row factors. * Because of rounding, data may...

  9. The Making of a Hemispheric Intellectual-Statesman: Leo S. Rowe in Argentina (1906–1919)

    E-Print Network [OSTI]

    Salvatore, Ricardo D.

    2010-01-01

    had been sent by the  Spanish government to spread the idea Spanish translation of Rowe’s book on  municipal government.    ideals  of  government.  Only that Spanish political 

  10. Row spacing effects on the canopy light extinction coefficient of upland cotton 

    E-Print Network [OSTI]

    Steglich, Evelyn Marie

    2000-01-01

    Field experiments were conducted in 1998 and 1999 at the Stiles Farm, Thrall, Texas and the Blackland Research Center, Temple, Texas, respectively, to characterize the influence of row spacing, plant density and time of day on the extinction...

  11. Analysis of conventional and plutonium recycle unit-assemblies for the Yankee (Rowe) PWR

    E-Print Network [OSTI]

    Mertens, Paul Gustaaf

    1971-01-01

    An analysis and comparison of Unit Conventional UO2 Fuel-Assemblies and proposed Plutonium Recycle Fuel Assemblies for the Yankee (Rowe) Reactor has been made. The influence of spectral effects, at the watergaps -and ...

  12. A Case for Small Row Buffers in! Non-Volatile Main Memories!

    E-Print Network [OSTI]

    Mutlu, Onur

    mapping schemes! Buffering large rows is energy-inefficient! 8-cores, DDR3-1066 simulator; modified for NVM timing and energy; 31 workloads! 47/67% less main memory energy for PCM/ STT-RAM with 64B row (Relative to DRAM)! PCM! STT-RAM! Energy (Read/Write)! 2x/100x! 0.5x/1x! Latency (Read/Write)! 5x/10x! 1x/1x

  13. Level: National Data and Regional Totals; Row: NAICS Codes, Value of Shipments and Employment Sizes;

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963Residential Consumers (Number of33 2,297 809 245 1550 Capability to

  14. Level: National Data and Regional Totals; Row: NAICS Codes, Value of Shipments and Employment Sizes;

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963Residential Consumers (Number of33 2,297 809 245 1550 Capability to2

  15. Level: National Data and Regional Totals; Row: NAICS Codes, Value of Shipments and Employment Sizes;

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963Residential Consumers (Number of33 2,297 809 245 1550 Capability to22

  16. Level: National Data and Regional Totals; Row: NAICS Codes, Value of Shipments and Employment Sizes;

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963Residential Consumers (Number of33 2,297 809 245 1550 Capability to224

  17. Level: National Data and Regional Totals; Row: NAICS Codes, Value of Shipments and Employment Sizes;

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963Residential Consumers (Number of33 2,297 809 245 1550 Capability

  18. Level: National Data and Regional Totals; Row: NAICS Codes, Value of Shipments and Employment Sizes;

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963Residential Consumers (Number of33 2,297 809 245 1550 Capability8

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

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963Residential Consumers (Number of33 2,297 809 245 1550473 Number

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

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963Residential Consumers (Number of33 2,297 809 245 1550473 Number Next

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

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963Residential Consumers (Number of33 2,297 809 245 1550473 Number Next5

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

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963Residential Consumers (Number of33 2,297 809 245 1550473 Number Next56

  3. Level: National and Regional Data; Row: Energy Sources; Column: Consumption Potential;

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963Residential Consumers (Number of33 2,297 809 245 1550473 Number

  4. Level: National and Regional Data; Row: Energy Sources; Column: Consumption Potential;

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963Residential Consumers (Number of33 2,297 809 245 1550473 Number

  5. Level: National and Regional Data; Row: NAICS Codes, Value of Shipments and Employment Sizes;

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963Residential Consumers (Number of33 2,297 809 245 1550473 Number0

  6. Level: National and Regional Data; Row: NAICS Codes, Value of Shipments and Employment Sizes;

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963Residential Consumers (Number of33 2,297 809 245 1550473 Number02

  7. Level: National and Regional Data; Row: NAICS Codes, Value of Shipments and Employment Sizes;

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963Residential Consumers (Number of33 2,297 809 245 1550473 Number022

  8. Level: National and Regional Data; Row: NAICS Codes, Value of Shipments and Employment Sizes;

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963Residential Consumers (Number of33 2,297 809 245 1550473 Number0224

  9. Level: National and Regional Data; Row: NAICS Codes, Value of Shipments and Employment Sizes;

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963Residential Consumers (Number of33 2,297 809 245 1550473 Number02246

  10. Level: National and Regional Data; Row: NAICS Codes, Value of Shipments and Employment Sizes;

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963Residential Consumers (Number of33 2,297 809 245 1550473 Number022468

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

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963Residential Consumers (Number of33 2,297 809 245 1550473 Number022468

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

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963Residential Consumers (Number of33 2,297 809 245 1550473 Number022468

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

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963Residential Consumers (Number of33 2,297 809 245 1550473

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

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963Residential Consumers (Number of33 2,297 809 245 1550473 Coke and

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

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963Residential Consumers (Number of33 2,297 809 245 1550473 Coke andNext

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

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963Residential Consumers (Number of33 2,297 809 245 1550473 Coke andNext

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

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963Residential Consumers (Number of33 2,297 809 245 1550473 Coke andNext3

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

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963Residential Consumers (Number of33 2,297 809 245 1550473 Coke

  19. Level: National and Regional Data; Row: Selected NAICS Codes; Column: Energy Sources

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963Residential Consumers (Number of33 2,297 809 245 1550473 CokeAugust

  20. Level: National and Regional Data; Row: Values of Shipments and Employment Sizes

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963Residential Consumers (Number of33 2,297 809 245 1550473 CokeAugust1.3

  1. Level: National and Regional Data; Row: Values of Shipments and Employment Sizes

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963Residential Consumers (Number of33 2,297 809 245 1550473

  2. Level: National and Regional Data; Row: Values of Shipments and Employment Sizes;

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963Residential Consumers (Number of33 2,297 809 245 15504732 Electricity:

  3. Level: National and Regional Data; Row: Values of Shipments and Employment Sizes;

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963Residential Consumers (Number of33 2,297 809 245 15504732

  4. Level: National and Regional Data; Row: Values of Shipments and Employment Sizes;

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963Residential Consumers (Number of33 2,297 809 245 155047326

  5. Level: National and Regional Data; Row: Values of Shipments and Employment Sizes;

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963Residential Consumers (Number of33 2,297 809 245 1550473263.3 Fuel

  6. Level: National and Regional Data; Row: Values of Shipments and Employment Sizes;

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963Residential Consumers (Number of33 2,297 809 245 1550473263.3 Fuel4.3

  7. Level: National and Regional Data; Row: Values of Shipments and Employment Sizes;

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963Residential Consumers (Number of33 2,297 809 245 1550473263.3 Fuel4.32

  8. Level: National and Regional Data; Row: Values of Shipments and Employment Sizes;

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963Residential Consumers (Number of33 2,297 809 245 1550473263.3

  9. Characteristics RSE Column Factor: Total

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)Decade Year-0ProvedDecade2,948CaliforniaFeet) (Million CubicYear Jan.. U.S.

  10. Effect of row spacing on yield and yield components of winter wheat cultivars 

    E-Print Network [OSTI]

    Peters, Ross Jay

    1977-01-01

    was found at McGrego~ for this trait. Culms per m were increased by 2 decreased row width at all locations and in all cultivars except 'Coker 68-15' and 'TAM N-101' at McGregor. These cultivars decreased in culm number. Five hundred seed weight... width on cereals. He noted that reducing row width generally increased yields, particularly at high population levels. While culms per unit area behaved in a similar manner, data on other yield components were inconclusive or not mentioned. Holliday...

  11. Seismic waveform classification for automatic detection and improved location of volcanic events Charlotte Rowe and Jonathan MacCarthy, Los Alamos National Laboratory, Los Alamos, New

    E-Print Network [OSTI]

    Charlotte Rowe and Jonathan MacCarthy, Los Alamos National Laboratory, Los Alamos, New Mexico, U: Dr. Charlotte Rowe EES-11, M.S. D-408 Los Alamos National Laboratory Los Alamos, new Mexico 87545 U

  12. Rate-Harmonized Scheduling for Saving Energy Anthony Rowe Karthik Lakshmanan Haifeng Zhu Ragunathan (Raj) Rajkumar

    E-Print Network [OSTI]

    Rowe, Anthony

    Rate-Harmonized Scheduling for Saving Energy Anthony Rowe Karthik Lakshmanan Haifeng Zhu Ragunathan mode, substantially more energy savings can be obtained but it requires a significant amount of time such that processor idle times are lumped together. We next introduce the Energy-Saving Rate-Harmonized Scheduler

  13. Quarter Annulus Simulations of Blade Row Interaction at Several Gaps and Discussion of

    E-Print Network [OSTI]

    Cincinnati, University of

    loaded upstream blade row and its eect on the compressor. Three dierent axial spacings between the rotor by Research Professor Mark G. Turner In order to accurately model the physics associated with losses in a transonic compressor, a time-accurate simulation of a transonic compressor rig was developed. Parameters

  14. A Model of Compressor Blade Row Interaction with Shock Induced Vortex Shedding

    E-Print Network [OSTI]

    Cincinnati, University of

    A Model of Compressor Blade Row Interaction with Shock Induced Vortex Shedding Mark G. Turner". The mid and far spacings represent typical axial gaps found in operational fans and compressors. However behind a stator are modeled. The model is based on a Burger vortex core model for shed vortices

  15. 2/15/05 Page 1 A Structural Diffusion Approach to Labeling Rows and

    E-Print Network [OSTI]

    Salamon, Peter

    digitized images of an array of tissue sections mounted on a microscope slide is discussed. Keywords: Medical Imaging, Computational Intelligence Running Title: Labeling Rows and Columns in an Irregular Array and the series of slides is subjected to a battery of treatments. The sheer volume of data generated

  16. 11/17/01 Page 1 A Structural Diffusion Approach to Labeling Rows and

    E-Print Network [OSTI]

    Salamon, Peter

    digitized images of an array of tissue sections mounted on a microscope slide is discussed. Keywords: Medical Imaging, Computational Intelligence Running Title: Labeling Rows and Columns in an Irregular Array and the series of slides is subjected to a battery of treatments. The sheer volume of data generated

  17. Visual Light Landmarks for Mobile Devices Niranjini Rajagopal, Patrick Lazik, Anthony Rowe

    E-Print Network [OSTI]

    Rowe, Anthony

    Visual Light Landmarks for Mobile Devices Niranjini Rajagopal, Patrick Lazik, Anthony Rowe}@andrew.cmu.edu Abstract--The omnipresence of indoor lighting makes it an ideal vehicle for pervasive communication lighting systems to send data to mobile devices using either cameras or light sensors. By exploiting

  18. First-row hydrides: Dissociation and ground state energies using quantum Monte Carlo

    E-Print Network [OSTI]

    Anderson, James B.

    First-row hydrides: Dissociation and ground state energies using quantum Monte Carlo Arne Lu, Pennsylvania 16802 Received 20 May 1996; accepted 24 July 1996 Accurate ground state energies comparable FN-DQMC method. The residual energy, the nodal error due to the error in the nodal structure

  19. Heat transfer from multiple row arrays of low aspect ratio pin fins Seth A. Lawson a,

    E-Print Network [OSTI]

    Thole, Karen A.

    Heat transfer from multiple row arrays of low aspect ratio pin fins Seth A. Lawson a, , Alan A 18 March 2011 Available online 5 May 2011 Keywords: Pin fins Heat transfer augmentation Array to enhance heat transfer. In modern gas turbines, for exam- ple, airfoils are designed with sophisticated

  20. "We Ain't Scared of No Mayor": LA's Skid Row Residents Fight for Their Right to the City

    E-Print Network [OSTI]

    Petit, Christine Elizabeth

    2010-01-01

    Racism on Trial: The Chicano Fight for Justice. Cambridge,Social Justice and the Fight for Public Space. New York andLA’s Skid Row Residents Fight for Their Right to the City A

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

    Gasoline and Diesel Fuel Update (EIA)

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

  2. Data Sharing Report Characterization of Isotope Row Facilities Oak Ridge National Laboratory Oak Ridge TN

    SciTech Connect (OSTI)

    Weaver, Phyllis C

    2013-12-12

    The U.S. Department of Energy (DOE) Oak Ridge Office of Environmental Management (EM-OR) requested that Oak Ridge Associated Universities (ORAU), working under the Oak Ridge Institute for Science and Education (ORISE) contract, provide technical and independent waste management planning support using funds provided by the American Recovery and Reinvestment Act (ARRA). Specifically, DOE EM-OR requested ORAU to plan and implement a survey approach, focused on characterizing the Isotope Row Facilities located at the Oak Ridge National Laboratory (ORNL) for future determination of an appropriate disposition pathway for building debris and systems, should the buildings be demolished. The characterization effort was designed to identify and quantify radiological and chemical contamination associated with building structures and process systems. The Isotope Row Facilities discussed in this report include Bldgs. 3030, 3031, 3032, 3033, 3033A, 3034, 3036, 3093, and 3118, and are located in the northeast quadrant of the main ORNL campus area, between Hillside and Central Avenues. Construction of the isotope production facilities was initiated in the late 1940s, with the exception of Bldgs. 3033A and 3118, which were enclosed in the early 1960s. The Isotope Row facilities were intended for the purpose of light industrial use for the processing, assemblage, and storage of radionuclides used for a variety of applications (ORNL 1952 and ORAU 2013). The Isotope Row Facilities provided laboratory and support services as part of the Isotopes Production and Distribution Program until 1989 when DOE mandated their shutdown (ORNL 1990). These facilities performed diverse research and developmental experiments in support of isotopes production. As a result of the many years of operations, various projects, and final cessation of operations, production was followed by inclusion into the surveillance and maintenance (S&M) project for eventual decontamination and decommissioning (D&D). The process for D&D and final dismantlement of facilities requires that the known contaminants of concern (COCs) be evaluated and quantified and to identify and quantify any additional contaminants in order to satisfy the waste acceptance criteria requirements for the desired disposal pathway. Known facility contaminants include, but are not limited to, asbestos-containing material (ACM), radiological contaminants, and chemical contaminants including polychlorinated biphenyls (PCBs) and metals.

  3. Negative-Index Metamaterials: Second-Harmonic Generation, Manley-Rowe Relations and Parametric Amplification

    E-Print Network [OSTI]

    A. K. Popov; Vladimir M. Shalaev

    2006-01-10

    Second harmonic generation and optical parametric amplification in negative-index metamaterials (NIMs) are studied. The opposite directions of the wave vector and the Poynting vector in NIMs results in a "backward" phase-matching condition, causing significant changes in the Manley-Rowe relations and spatial distributions of the coupled field intensities. It is shown that absorption in NIMs can be compensated by backward optical parametric amplification. The possibility of distributed-feedback parametric oscillation with no cavity has been demonstrated. The feasibility of the generation of entangled pairs of left- and right-handed counter-propagating photons is discussed.

  4. Evaluation of Maxim Module-Integrated Electronics at the DOE Regional Test Centers: Preprint

    SciTech Connect (OSTI)

    Deline, C.; Sekulic, B.; Stein, J.; Barkaszi, S.; Yang, J.; Kahn, S.

    2014-07-01

    Module-embedded power electronics developed by Maxim Integrated are under evaluation through a partnership with the Department of Energy's Regional Test Center (RTC) program. Field deployments of both conventional modules and electronics-enhanced modules are designed to quantify the performance advantage of Maxim's products under different amounts of inter-row shading, and their ability to be deployed at a greater ground-coverage-ratio than conventional modules. Simulations in PVSYST have quantified the predicted performance difference between conventional modules and Maxim's modules from inter-row shading. Initial performance results have identified diffuse irradiance losses at tighter row spacing for both the Maxim and conventional modules. Comparisons with published models show good agreement with models predicting the greatest diffuse irradiance losses. At tighter row spacing, all of the strings equipped with embedded power electronics outperformed their conventional peers. An even greater performance advantage is predicted to occur in the winter months when the amount of inter-row shading mismatch is at a maximum.

  5. Formation and spread of callus tissue and tangential rows of resin ducts in Larix decidua and Picea abies following rockfall impacts

    E-Print Network [OSTI]

    Butler, David R. - Department of Geography, Texas State University

    Formation and spread of callus tissue and tangential rows of resin ducts in Larix decidua and Picea After mechanical wounding, callus tissue and tangential rows of traumatic resin ducts (TRDs) are formed extension, traumatic resin ducts. Introduction Rockfall is a common mass movement process in alpine

  6. Life history and behavioral responses to time constraints in a damselfly. by Frank Johansson and Locke Rowe

    E-Print Network [OSTI]

    Sokolowski, Marla

    Life history and behavioral responses to time constraints in a damselfly. by Frank Johansson and Locke Rowe Time constraints, imposed by seasonality, are common to life histories. Recent theory in evolutionary ecology predicts independent behavioral and life history responses to such constraints

  7. Author's personal copy Variable field-of-view machine vision based row guidance of an agricultural robot

    E-Print Network [OSTI]

    robot Jinlin Xue a , Lei Zhang b , Tony E. Grift b, a College of Engineering, Nanjing Agricultural guidance Autonomous guidance Agricultural robot Fuzzy logic control a b s t r a c t A novel variable field-of-view machine vision method was developed allowing an agricultural robot to navigate between rows in cornfields

  8. Matrix Operations Recall that an matrix A is a rectangular array of scalars arranged in rows and

    E-Print Network [OSTI]

    Lee, Carl

    Matrix Operations Recall that an matrix A is a rectangular array of scalars arranged in rows and columns: We will also denote the matrix A by . In the case we call a square matrix. If all the entries of the matrix A are zero, we call A the zero matrix and denote it by . The term matrix was first used in 1850

  9. A multivariate view of the evolution of sexual dimorphism M. J. WYMAN, J. R. STINCHCOMBE & L. ROWE

    E-Print Network [OSTI]

    Sokolowski, Marla

    A multivariate view of the evolution of sexual dimorphism M. J. WYMAN, J. R. STINCHCOMBE & L. ROWE. Widespread dimorphism, despite a shared genome, may be more readily explained by considering the multivariate. By contrast, the multivariate formulation has greater generality and more flexibility. Although the number

  10. Buildings and Energy in the 1980's

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

    Table R8.82p. Total and Average Primaary Consumption and Expenditures for All Major Energy Sources in Residential Buildings, 1982 Total Average RSE Row Fac- tors Expenditures...

  11. Buildings and Energy in the 1980's

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

    Table R8.90p. Total and Average Primary Consumption and Expenditures for All Major Energy Sources in Residential Buildings, 1990 Total Average RSE Row Fac- tors Expenditures...

  12. Buildings and Energy in the 1980's

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

    Table R8.81p. Total and Average Primary Consumption and Expenditures for All Major Energy Sources in Residential Buildings, 1981 Total Average RSE Row Fac- tors Expenditures...

  13. Buildings and Energy in the 1980's

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

    Table R8.84p. Total and Average Primary Consumption and Expenditures for All Major Energy Sources in Residential Buildings, 1984 Total Average RSE Row Fac- tors Expenditures...

  14. Buildings and Energy in the 1980's

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

    Table R8.87p. Total and Average Primary Consumption and Expenditures for All Major Energy Sources in Residential Buildings, 1987 Total Average RSE Row Factors Expenditures (million...

  15. 1992 CBECS C & E

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

    of Natural Gas by End Use, 1989 Natural Gas Consumption (trillion Btu) Space Water a Total Heating Heating Cooking Other RSE Building Row Characteristics Factor 1.0 NF...

  16. Characteristics RSE Column Factor: All Vehicle Types

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)Decade Year-0ProvedDecade2,948CaliforniaFeet) (Million CubicYear Jan. U.S.6.

  17. Double row loop-coil configuration for high-speed electrodynamic maglev suspension, guidance, propulsion and guideway directional switching

    DOE Patents [OSTI]

    He, Jianliang (Naperville, IL); Rote, Donald M. (Lagrange, IL)

    1996-01-01

    A stabilization and propulsion system comprising a series of loop-coils arranged in parallel rows wherein two rows combine to form one of two magnetic rails. Levitation and lateral stability are provided when the induced field in the magnetic rails interacts with the superconducting magnets mounted on the magnetic levitation vehicle. The loop-coils forming the magnetic rails have specified dimensions and a specified number of turns and by constructing differently these specifications, for one rail with respect to the other, the angle of tilt of the vehicle can be controlled during directional switching. Propulsion is provided by the interaction of a traveling magnetic wave associated with the coils forming the rails and the super conducting magnets on the vehicle.

  18. First principles investigation of the initial stage of H-induced missing-row reconstruction of Pd(110) surface

    SciTech Connect (OSTI)

    Padama, Allan Abraham B. [Department of Applied Physics, Osaka University, Suita, Osaka 565-0871 (Japan); Kasai, Hideaki, E-mail: kasai@dyn.ap.eng.osaka-u.ac.jp [Department of Applied Physics, Osaka University, Suita, Osaka 565-0871 (Japan); Center for Atomic and Molecular Technologies, Osaka University, Suita, Osaka 565-0871 (Japan)

    2014-06-28

    The pathway of H diffusion that will induce the migration of Pd atom is investigated by employing first principles calculations based on density functional theory to explain the origin of missing-row reconstruction of Pd(110).The calculated activation barrier and the H-induced reconstruction energy reveal that the long bridge-to-tetrahedral configuration is the energetically favored process for the initial stage of reconstruction phenomenon. While the H diffusion triggers the migration of Pd atom, it is the latter process that significantly contributes to the activated missing-row reconstruction of Pd(110). Nonetheless, the strong interaction between the diffusing H and the Pd atoms dictates the occurrence of reconstructed surface.

  19. Study of Row Phase Dependent Skew Quadrupole Fields in Apple-II Type EPUs at the ALS

    SciTech Connect (OSTI)

    Steier, C.; Marks, S.; Prestemon, Soren; Robin, David; Schlueter, Ross; Wolski, Andrzej

    2004-05-07

    Since about 5 years, Apple-II type Elliptically Polarizing Undulators (EPU) have been used very successfully at the ALS to generate high brightness photon beams with arbitrary polarization. However, both EPUs installed so far cause significant changes of the vertical beamsize, especially when the row phase is changed to change the polarization of the photons emitted. Detailed measurements indicate this is caused by a row phase dependent skew quadrupole term in the EPUs. Magnetic measurements revealed the same effect for the third EPU to be installed later this year. All measurements to identify and quantify the effect with beam will be presented, as well as some results of magnetic bench measurements and numeric field simulations.

  20. Double row loop-coil configuration for high-speed electrodynamic maglev suspension, guidance, propulsion and guideway directional switching

    DOE Patents [OSTI]

    He, J.; Rote, D.M.

    1996-05-21

    A stabilization and propulsion system are disclosed comprising a series of loop-coils arranged in parallel rows wherein two rows combine to form one of two magnetic rails. Levitation and lateral stability are provided when the induced field in the magnetic rails interacts with the superconducting magnets mounted on the magnetic levitation vehicle. The loop-coils forming the magnetic rails have specified dimensions and a specified number of turns and by constructing differently these specifications, for one rail with respect to the other, the angle of tilt of the vehicle can be controlled during directional switching. Propulsion is provided by the interaction of a traveling magnetic wave associated with the coils forming the rails and the superconducting magnets on the vehicle. 12 figs.

  1. Health hazard evaluation report HETA 96-0137-2607, Yankee Atomic Electric Company, Rowe, Massachusetts

    SciTech Connect (OSTI)

    Sylvain, D.C.

    1996-10-01

    In response to a request from the Health and Safety Supervisor at the Yankee Nuclear Power Station (SIC-4911), Rowe, Massachusetts, an investigation was begun into ozone (10028156) exposure during plasma arc cutting and welding. Welders had reported chest tightness, dry cough, and throat and bronchial irritation. The nuclear power station was in the process of being decommissioned, and workers were dismantling components using welding and cutting methods. Of the operations observed during the site visit, the highest ozone concentrations were generated during plasma arc cutting, followed by metal inert gas (MIG) welding and arc welding. During plasma arc cutting the average and peak concentrations exceeded the NIOSH ceiling recommended exposure limit of 0.1 part per million. The author concludes that ozone exposure during plasma arc cutting and MIG welding presented a health hazard to welders. The author recommends that improvements be made in the local exhaust ventilation, that nitrogen-dioxide levels be monitored during hot work, and that many exposed workers wear protective clothing, use ultraviolet blocking lotion, and continue the use appropriate shade of eye protection.

  2. Effect of plant populations and row spacings on plant and ear characters and grain yield of corn hybrids 

    E-Print Network [OSTI]

    Silapapun, Anek

    1976-01-01

    break- age and barren stalks increased with increase in population densities. Allessi and Power (2) also found that number of barren stalks increased and ear weight decreased with increased plant population. Bleasdale (7) proposed that if a crop...EFFECT OF PLANT POPULATIONS AND ROW SPACINGS ON PLANT AND EAR CHARACTERS AND GRAIN YIELD OF CORN HYBRIDS A Thesis by ANEK SILAPAPUN Submitted to the Graduate College of Texas A&M University in partial fulfillment of the requirement...

  3. Isotopic validation for PWR actinide-only burnup credit using Yankee Rowe data

    SciTech Connect (OSTI)

    NONE

    1997-11-01

    Safety analyses of criticality control systems for transportation packages include an assumption that the spent nuclear fuel (SNF) loaded into the package is fresh or unirradiated. In other words, the spent fuel is assumed to have its original, as-manufactured U-235 isotopic content. The ``fresh fuel`` assumption is very conservative since the potential reactivity of the nuclear fuel is substantially reduced after being irradiated in the reactor core. The concept of taking credit for this reduction in nuclear fuel reactivity due to burnup of the fuel, instead of using the fresh fuel assumption in the criticality safety analysis, is referred to as ``Burnup Credit.`` Burnup credit uses the actual physical composition of the fuel and accounts for the net reduction of fissile material and the buildup of neutron absorbers in the fuel as it is irradiated. Neutron absorbers include actinides and other isotopes generated as a result of the fission process. Using only the change in actinide isotopes in the burnup credit criticality analysis is referred to as ``Actinide-Only Burnup Credit.`` The use of burnup credit in the design of criticality control systems enables more spent fuel to be placed in a package. Increased package capacity results in a reduced number of storage, shipping and disposal containers for a given number of SNF assemblies. Fewer shipments result in a lower risk of accidents associated with the handling and transportation of spent fuel, thus reducing both radiological and nonradiological risk to the public. This paper describes the modeling and the results of comparison between measured and calculated isotopic inventories for a selected number of samples taken from a Yankee Rowe spent fuel assembly.

  4. Evaluation of Maxim Module-Integrated Electronics at the DOE Regional Test Centers (Presentation)

    SciTech Connect (OSTI)

    Deline, C.; Sekulic, B.; Barkaszi, S.; Yang, J.; Kahn, S.

    2014-06-01

    Module-embedded power electronics developed by Maxim Integrated are under evaluation through a partnership with the Department of Energy's Regional Test Center (RTC) program. Field deployments of both conventional modules and electronics-enhanced modules are designed to quantify the performance advantage of Maxim's products under different amounts of interrow shading, and their ability to be deployed at a greater ground-coverage ratio than conventional modules. Simulations in PVSYST have quantified the predicted performance difference between conventional modules and Maxim's modules from interrow shading. Initial performance results have identified diffuse irradiance losses at tighter row spacing for both the Maxim and conventional modules. Comparisons with published models show good agreement with models predicting the greatest diffuse irradiance losses. At tighter row spacing, all of the strings equipped with embedded power electronics outperformed their conventional peers. An even greater performance advantage is predicted to occur in the winter months when the amount of interrow shading mismatch is at a maximum.

  5. Mixed n-Step MIR Inequalities, n-Step Conic MIR Inequalities and a Polyhedral Study of Single Row Facility Layout Problem 

    E-Print Network [OSTI]

    Sanjeevi, Sujeevraja

    2012-10-19

    study of the triplet formulation for the single row facility layout problem (SRFLP). For any number of departments n, we prove that the dimension of the triplet polytope (convex hull of solutions to the triplet formulation) is n(n - 1)(n - 2)/3. We...

  6. 1989 CBECS EUI

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

    Consumption and Gross Energy Intensity by Census Region for Sum of Major Fuels, 1992 Building Characteristics RSE Column Factor: Sum of Major Fuel Consumption (trillion Btu) Total...

  7. 1989 CBECS EUI

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

    Expenditures by Census Region for Sum of Major Fuels, 1992 Building Characteristics RSE Column Factor: Sum of Major Fuel Expenditures (million dollars) Sum of Major Fuel...

  8. Regional Purchasing

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration wouldMassR&D100 Winners * ImpactsandRegarding ConfinementRegional Partnerships

  9. Regional Summary Pacific Region Management Context

    E-Print Network [OSTI]

    Pacific Rim nations. As such, the management of the HMS fisheries s coordinated by the Pacific FisheryRegional Summary Pacific Region Management Context The Pacific Region includes California, Oregon, and Washington. Federal fisheries in this region are managed by the Pacific Fishery Management Council (PFMC

  10. 2003 Commercial Buildings Energy Consumption - What is an RSE

    Gasoline and Diesel Fuel Update (EIA)

    may or may not be statistically significant. Statistical significance is computed as: equation where S is the standard error, x1 is the first estimate, and x2 is the second...

  11. 2003 Commercial Buildings Energy Consumption - What is an RSE

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)Decade Year-0ProvedDecade Year-0Cubic MonthlyTechnical Information >

  12. Characteristics RSE Column Factor: All Model Years Model Year

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)Decade Year-0ProvedDecade2,948CaliforniaFeet) (Million CubicYear Jan. U.S.

  13. Characteristics RSE Column Factor: Households with Children Households Without Children

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)Decade Year-0ProvedDecade2,948CaliforniaFeet) (Million CubicYear Jan.

  14. Re: NBP RFI: CommunicationRse quirements | Department of Energy

    Energy Savers [EERE]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on DeliciousMathematicsEnergyInterested PartiesBuildingBudget ||Department ofRequest7ofPlan by StudyingConsumersRe:

  15. Regional Transportation Coordination Study 

    E-Print Network [OSTI]

    Golden Crescent Regional Planning Commission

    2006-01-01

    stream_source_info Golden Crescent Regional Transportation Coordination Study.pdf.txt stream_content_type text/plain stream_size 357268 Content-Encoding ISO-8859-1 stream_name Golden Crescent Regional Transportation Coordination... Study.pdf.txt Content-Type text/plain; charset=ISO-8859-1 Golden Crescent Regional Transit i Regional Transportation Coordination Study: 7-County Golden Crescent Region Regional...

  16. NORTHWEST REGIONAL TECHNOLOGY CENTER

    E-Print Network [OSTI]

    NORTHWEST REGIONAL TECHNOLOGY CENTER for Homeland Security Northwest Regional Technology Center May 2015 | 1 AROUND THE REGION IN HOMELAND SECURITY The Northwest Regional Technology Center (NWRTC.S. Army Cyber Command; and Michael Echols, Director, Cyber Joint Program Management Office National

  17. Conservation Regional ConservationRegional Conservation

    E-Print Network [OSTI]

    Northwest Power and Conservation Council Regional ConservationRegional Conservation Update:Update?"" #12;slide 3 Northwest Power and Conservation Council PNW Energy Efficiency AchievementsPNW Energy Since 1978 Utility & BPASince 1978 Utility & BPA Programs, Energy Codes &Programs, Energy Codes

  18. Regional Research Collaborations

    E-Print Network [OSTI]

    Regional Research Collaborations Merrill Series on The Research Mission of Public Universities at Birmingham Regional Neuroscience Research Collaboration: The Alabama Experience Panel 1: Research ........................................................................................................5 Vice Chancellor for Research, University of Kansas Medical Center Evolution of Reproductive

  19. Northwest Regional Technology Center

    E-Print Network [OSTI]

    management and public safety professionals to define and prioritize technology needs. Coordinate and leadNorthwest Regional Technology Center for Homeland Security The Northwest Regional Technology Center and deployment of technologies that are effective homeland security solutions for the region, and accelerate

  20. Regional Test Centers (RTCs)

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

    has established five Regional Test Centers (RTCs) across the United States to independently validate the performance and reliability of photovoltaic (PV) systems in different...

  1. Regional Public Coordination Transportation Plan Texoma Region #22 

    E-Print Network [OSTI]

    Texoma Council of Governments

    2006-12-01

    .......................................................................................................... 6 Regional Geography and Demographics..................................................................................... 6 Regional Agencies Responsible for Transportation Planning.................................................. 6 Descriptions... of the Region?s Public Transportation Providers................................................. 7 Coordinated Transportation Plan..................................................................................................... 8 Coordination Actions...

  2. Regional Analysis Briefs

    Reports and Publications (EIA)

    2028-01-01

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

  3. Measurement of the three-dimensional tip region flow field in an axial compressor

    SciTech Connect (OSTI)

    Stauter, R.C. )

    1993-07-01

    A two-color, five-beam LDV system has been configured to make simultaneous three-component velocity measurements of the flow field in a two-stage axial compressor model. The system has been used to make time-resolved measurements both between compressor blade rows and within the rotating blade passages in an axial compressor. The data show the nature and behavior of the complex, three-dimensional flow phenomena present in the tip region of a compressor as the convect downstream. In particular, the nature of the tip leakage vortex is apparent, being manifested by high blockage as well as the expected vortical motion. The data indicate that the radial flows associated with the tip leakage vortex begin to decrease while within the rotor passage, and that they temporarily increase aft of the passage.

  4. Assessment of G3(MP2)//B3 theory including a pseudopotential for molecules containing first-, second-, and third-row representative elements

    SciTech Connect (OSTI)

    Rocha, Carlos Murilo Romero; Morgon, Nelson Henrique; Custodio, Rogério; Pereira, Douglas Henrique; Departamento de Ciências Exatas e Biotecnológicas, Universidade Federal do Tocantins, Campus de Gurupi, 77410-530 Gurupi, Tocantins

    2013-11-14

    G3(MP2)//B3 theory was modified to incorporate compact effective potential (CEP) pseudopotentials, providing a theoretical alternative referred to as G3(MP2)//B3-CEP for calculations involving first-, second-, and third-row representative elements. The G3/05 test set was used as a standard to evaluate the accuracy of the calculated properties. G3(MP2)//B3-CEP theory was applied to the study of 247 standard enthalpies of formation, 104 ionization energies, 63 electron affinities, 10 proton affinities, and 22 atomization energies, comprising 446 experimental energies. The mean absolute deviations compared with the experimental data for all thermochemical results presented an accuracy of 1.4 kcal mol{sup ?1} for G3(MP2)//B3 and 1.6 kcal mol{sup ?1} for G3(MP2)//B3-CEP. Approximately 75% and 70% of the calculated properties are found with accuracy between ±2 kcal mol{sup ?1} for G3(MP2)//B3 and G3(MP2)//B3-CEP, respectively. Considering a confidence interval of 95%, the results may oscillate between ±4.2 kcal mol{sup ?1} and ±4.6 kcal mol{sup ?1}, respectively. The overall statistical behavior indicates that the calculations using pseudopotential present similar behavior with the all-electron theory. Of equal importance to the accuracy is the CPU time, which was reduced by between 10% and 40%.

  5. Modeling regional power transfers

    SciTech Connect (OSTI)

    Kavicky, J.A.; Veselka, T.D.

    1994-03-01

    The Spot Market Network (SMN) model was used to estimate spot market transactions and prices between various North American Electric Reliability Council (NERC) regions for summer on-peak situations. A preliminary analysis of new or proposed additions to the transmission network was performed. The effects of alternative exempt wholesale generator (EWG) options on spot market transactions and the transmission system are also studied. This paper presents the SMN regional modelling approach and summarizes simulation results. Although the paper focuses on a regional network representation, a discussion of how the SMN model was used to represent a detailed utility-level network is also presented.

  6. Regional Carbon Sequestration Partnerships

    Broader source: Energy.gov [DOE]

    DOE has created a network of seven Regional Carbon Sequestration Partnerships (RCSPs) to help develop the technology, infrastructure, and regulations to implement large-scale CO2 storage (also...

  7. Southeast Texas Region Regional Public Transportation Coordination Plan 

    E-Print Network [OSTI]

    Southeast Texas Regional Planning Commission

    2006-01-01

    REGION REGIONAL PUBLIC TRANSPORTATION COORDINATION PLAN PREPARED FOR THE TEXAS DEPARTMENT OF TRANSPORTATION NOVEMBER 2006 REGIONAL PUBLIC TRANSPORTATION COORDINATION PLAN NOVEMBER 2006 PAGE 1 Table of Contents... ....................................................................4 History of Regional Coordination of Public Transportation ..............................10 REGIONAL SERVICE COORDINATION PLANNING........................................................10 Lead Agency...

  8. Northeast Regional Biomass Program

    SciTech Connect (OSTI)

    Lusk, P.D.

    1992-12-01

    The Northeast Regional Biomass Program has been in operation for a period of nine years. During this time, state managed programs and technical programs have been conducted covering a wide range of activities primarily aim at the use and applications of wood as a fuel. These activities include: assessments of available biomass resources; surveys to determine what industries, businesses, institutions, and utility companies use wood and wood waste for fuel; and workshops, seminars, and demonstrations to provide technical assistance. In the Northeast, an estimated 6.2 million tons of wood are used in the commercial and industrial sector, where 12.5 million cords are used for residential heating annually. Of this useage, 1504.7 mw of power has been generated from biomass. The use of wood energy products has had substantial employment and income benefits in the region. Although wood and woodwaste have received primary emphasis in the regional program, the use of municipal solid waste has received increased emphasis as an energy source. The energy contribution of biomass will increase as potentia users become more familiar with existing feedstocks, technologies, and applications. The Northeast Regional Biomass Program is designed to support region-specific to overcome near-term barriers to biomass energy use.

  9. Northeast Regional Biomass Program

    SciTech Connect (OSTI)

    O'Connell, R.A.

    1991-11-01

    The management structure and program objectives for the Northeast Regional Biomass Program (NRBP) remain unchanged from previous years. Additional funding was provided by the Bonneville Power Administration Regional Biomass Program to continue the publication of articles in the Biologue. The Western Area Power Administration and the Council of Great Lakes Governors funded the project Characterization of Emissions from Burning Woodwaste''. A grant for the ninth year was received from DOE. The Northeast Regional Biomass Steering Committee selected the following four projects for funding for the next fiscal year. (1) Wood Waste Utilization Conference, (2) Performance Evaluation of Wood Systems in Commercial Facilities, (3) Wood Energy Market Utilization Training, (4) Update of the Facility Directory.

  10. NV PFA Regional Data

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

    James Faulds

    2015-10-28

    This project focused on defining geothermal play fairways and development of a detailed geothermal potential map of a large transect across the Great Basin region (96,000 km2), with the primary objective of facilitating discovery of commercial-grade, blind geothermal fields (i.e. systems with no surface hot springs or fumaroles) and thereby accelerating geothermal development in this promising region. Data included in this submission consists of: structural settings (target areas, recency of faulting, slip and dilation potential, slip rates, quality), regional-scale strain rates, earthquake density and magnitude, gravity data, temperature at 3 km depth, permeability models, favorability models, degree of exploration and exploration opportunities, data from springs and wells, transmission lines and wilderness areas, and published maps and theses for the Nevada Play Fairway area.

  11. Regional Energy Baseline 

    E-Print Network [OSTI]

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

    2011-01-01

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

  12. Uplifted supersymmetric Higgs region

    E-Print Network [OSTI]

    Bogdan A. Dobrescu; Patrick J. Fox

    2010-05-26

    We show that the parameter space of the Minimal Supersymmetric Standard Model includes a region where the down-type fermion masses are generated by the loop-induced couplings to the up-type Higgs doublet. In this region the down-type Higgs doublet does not acquire a vacuum expectation value at tree level, and has sizable couplings in the superpotential to the tau leptons and bottom quarks. Besides a light standard-like Higgs boson, the Higgs spectrum includes the nearly degenerate states of a heavy spin-0 doublet which can be produced through their couplings to the $b$ quark and decay predominantly into \\tau^+\\tau^- or \\tau\

  13. Regional companies eye growth

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home RoomPreservation of Fe(II) by Carbon-RichProtonAbout UsRegional companies eye growth Regional

  14. REGIONAL TRAVEL MAPS Philadelphia

    E-Print Network [OSTI]

    Gilchrist, James F.

    REGIONAL TRAVEL MAPS 2 hrs. 1 hr. 3 hrs. 4 hrs. 5 hrs. Philadelphia New York City Pittsburgh BostonReadingand Harrisburg 476 476 276 309 309 663 378 309 33 78 80 80 LEHIGH UNIVERSITY Bethlehem Quakertown to Philadelphia Coast including Philadelphia (50 miles south) and New York City (90 miles northeast). Bethlehem

  15. Prince George Forest Region

    E-Print Network [OSTI]

    Coxson, Darwyn

    Prince George Forest Region Forest Resources & Practices Team May 1999 Note #PG-20 · ExtensionAssociate,UniversityofNorthern BritishColumbia 2 MSc, RPBio, Silvifauna Research, Prince George, BC 3 PhD, R.M. Sagar and Associates, Prince George, BC #12;Ministry of Forests, 5th Floor, 1011 - 4th Avenue, Prince George, BC V2L 3H9

  16. A second row Parking Paradox

    E-Print Network [OSTI]

    S. R. Fleurke; C. Kuelske

    2008-11-28

    We consider two variations of the discrete car parking problem where at every vertex of the integers a car arrives with rate one, now allowing for parking in two lines. a) The car parks in the first line whenever the vertex and all of its nearest neighbors are not occupied yet. It can reach the first line if it is not obstructed by cars already parked in the second line (screening). b) The car parks according to the same rules, but parking in the first line can not be obstructed by parked cars in the second line (no screening). In both models, a car that can not park in the first line will attempt to park in the second line. If it is obstructed in the second line as well, the attempt is discarded. We show that both models are solvable in terms of finite-dimensional ODEs. We compare numerically the limits of first and second line densities, with time going to infinity. While it is not surprising that model a) exhibits an increase of the density in the second line from the first line, more remarkably this is also true for model b), albeit in a less pronounced way.

  17. Katherine Rowe September 29, 2006

    E-Print Network [OSTI]

    Radcliffe, David

    . The site is over 20 years old, has not needed repaving, and has staved off sinkholes in an area prone

  18. Regional Education Partners

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of NaturalDukeWakefieldSulfateSciTechtail.Theory ofDid youOxygen Generation |Publications TheGas SeparationsRelevantRegional

  19. Colorado Regional Faults

    SciTech Connect (OSTI)

    Hussein, Khalid

    2012-02-01

    Citation Information: Originator: Earth Science &Observation Center (ESOC), CIRES, University of Colorado at Boulder Originator: Colorado Geological Survey (CGS) Publication Date: 2012 Title: Regional Faults Edition: First Publication Information: Publication Place: Earth Science & Observation Center, Cooperative Institute for Research in Environmental Science, University of Colorado, Boulder Publisher: Earth Science &Observation Center (ESOC), CIRES, University of Colorado at Boulder Description: This layer contains the regional faults of Colorado Spatial Domain: Extent: Top: 4543192.100000 m Left: 144385.020000 m Right: 754585.020000 m Bottom: 4094592.100000 m Contact Information: Contact Organization: Earth Science &Observation Center (ESOC), CIRES, University of Colorado at Boulder Contact Person: Khalid Hussein Address: CIRES, Ekeley Building Earth Science & Observation Center (ESOC) 216 UCB City: Boulder State: CO Postal Code: 80309-0216 Country: USA Contact Telephone: 303-492-6782 Spatial Reference Information: Coordinate System: Universal Transverse Mercator (UTM) WGS’1984 Zone 13N False Easting: 500000.00000000 False Northing: 0.00000000 Central Meridian: -105.00000000 Scale Factor: 0.99960000 Latitude of Origin: 0.00000000 Linear Unit: Meter Datum: World Geodetic System 1984 (WGS ’984) Prime Meridian: Greenwich Angular Unit: Degree Digital Form: Format Name: Shape file

  20. Strengthening regional safeguards

    SciTech Connect (OSTI)

    Palhares, L.; Almeida, G.; Mafra, O. [Brazilian-Argentine Agency for Accounting and Control of Nuclear Materials, Rio de Janeiro (Brazil)] [and others

    1996-08-01

    Nuclear cooperation between Argentina and Brazil has been growing since the early 1980`s and as it grew, so did cooperation with the US Department of Energy (DOE). The Brazilian-Argentine Agency for Accounting and Control of Nuclear Materials (ABACC) was formed in December 1991 to operate the Common System of Accounting and Control of Nuclear Materials (SCCC). In April 1994, ABACC and the DOE signed an Agreement of Cooperation in nuclear material safeguards. This cooperation has included training safeguards inspectors, exchanging nuclear material measurement and containment and surveillance technology, characterizing reference materials, and studying enrichment plant safeguards. The goal of the collaboration is to exchange technology, evaluate new technology in Latin American nuclear facilities, and strengthen regional safeguards. This paper describes the history of the cooperation, its recent activities, and future projects. The cooperation is strongly supported by all three governments: the Republics of Argentina and Brazil and the United States.

  1. 6, 1332313366, 2006 Regional pollution

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    ACPD 6, 13323­13366, 2006 Regional pollution potentials of major population centers M. G. Lawrence a Creative Commons License. Atmospheric Chemistry and Physics Discussions Regional pollution potentials. Lawrence (lawrence@mpch-mainz.mpg.de) 13323 #12;ACPD 6, 13323­13366, 2006 Regional pollution potentials

  2. Regional Summary Pacific Management Context

    E-Print Network [OSTI]

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

  3. Southern Region Watershed Management Project

    E-Print Network [OSTI]

    and technology transfer programs. #12;Southern Region Watershed Management Project September 15, 2000 and networking both internally and with other regional water resources management programs, promoted technology1 Southern Region Watershed Management Project September 15, 2000 to September 14, 2005 Terminal

  4. Texas State Planning Region 3 Report of Regional Transportation Coordination 

    E-Print Network [OSTI]

    Nortex Regional Planning Commission

    2006-12-01

    stream_source_info Nortex Regional Transportation Coordination Plan.pdf.txt stream_content_type text/plain stream_size 50110 Content-Encoding ISO-8859-1 stream_name Nortex Regional Transportation Coordination Plan.pdf.txt Content... Transportation Coordination December 1, 2006 Submitted to The Texas Department of Transportation Mission To provide reliable, quality, coordinated, public transportation. Texas State Planning Region 3 Page 1 Table of Contents Table...

  5. A multiscale MDCT image-based breathing lung model with time-varying regional ventilation

    SciTech Connect (OSTI)

    Yin, Youbing, E-mail: youbing-yin@uiowa.edu [Department of Mechanical and Industrial Engineering, The University of Iowa, Iowa City, IA 52242 (United States) [Department of Mechanical and Industrial Engineering, The University of Iowa, Iowa City, IA 52242 (United States); IIHR-Hydroscience and Engineering, The University of Iowa, Iowa City, IA 52242 (United States); Department of Radiology, The University of Iowa, Iowa City, IA 52242 (United States); Choi, Jiwoong, E-mail: jiwoong-choi@uiowa.edu [Department of Mechanical and Industrial Engineering, The University of Iowa, Iowa City, IA 52242 (United States) [Department of Mechanical and Industrial Engineering, The University of Iowa, Iowa City, IA 52242 (United States); IIHR-Hydroscience and Engineering, The University of Iowa, Iowa City, IA 52242 (United States); Hoffman, Eric A., E-mail: eric-hoffman@uiowa.edu [Department of Radiology, The University of Iowa, Iowa City, IA 52242 (United States); Department of Biomedical Engineering, The University of Iowa, Iowa City, IA 52242 (United States); Department of Internal Medicine, The University of Iowa, Iowa City, IA 52242 (United States); Tawhai, Merryn H., E-mail: m.tawhai@auckland.ac.nz [Auckland Bioengineering Institute, The University of Auckland, Auckland (New Zealand); Lin, Ching-Long, E-mail: ching-long-lin@uiowa.edu [Department of Mechanical and Industrial Engineering, The University of Iowa, Iowa City, IA 52242 (United States) [Department of Mechanical and Industrial Engineering, The University of Iowa, Iowa City, IA 52242 (United States); IIHR-Hydroscience and Engineering, The University of Iowa, Iowa City, IA 52242 (United States)

    2013-07-01

    A novel algorithm is presented that links local structural variables (regional ventilation and deforming central airways) to global function (total lung volume) in the lung over three imaged lung volumes, to derive a breathing lung model for computational fluid dynamics simulation. The algorithm constitutes the core of an integrative, image-based computational framework for subject-specific simulation of the breathing lung. For the first time, the algorithm is applied to three multi-detector row computed tomography (MDCT) volumetric lung images of the same individual. A key technique in linking global and local variables over multiple images is an in-house mass-preserving image registration method. Throughout breathing cycles, cubic interpolation is employed to ensure C{sub 1} continuity in constructing time-varying regional ventilation at the whole lung level, flow rate fractions exiting the terminal airways, and airway deformation. The imaged exit airway flow rate fractions are derived from regional ventilation with the aid of a three-dimensional (3D) and one-dimensional (1D) coupled airway tree that connects the airways to the alveolar tissue. An in-house parallel large-eddy simulation (LES) technique is adopted to capture turbulent-transitional-laminar flows in both normal and deep breathing conditions. The results obtained by the proposed algorithm when using three lung volume images are compared with those using only one or two volume images. The three-volume-based lung model produces physiologically-consistent time-varying pressure and ventilation distribution. The one-volume-based lung model under-predicts pressure drop and yields un-physiological lobar ventilation. The two-volume-based model can account for airway deformation and non-uniform regional ventilation to some extent, but does not capture the non-linear features of the lung.

  6. 2015 NHA Alaska Regional Meeting

    Broader source: Energy.gov [DOE]

    Register today and join industry professionals for interactive discussions covering a variety of regional topics and a tour of the Eklutna lake Project.

  7. Regional GHG Emissions Stat s Greenhouse Gas and the Regional

    E-Print Network [OSTI]

    ,00070.0 Historical CO2 Emissions of the NW Power System CO2 Emissions Hydro Gen Fossil Fuel Gen (NG + Coal) Wind Gen6/5/2013 1 Regional GHG Emissions Stat s Greenhouse Gas and the Regional Power System Symposium power system All emissions are displayed in short tons (not metric tons) The Pacific Northwest (PNW

  8. Vegetable Varieties for the Winter Garden Region of Texas. 

    E-Print Network [OSTI]

    Hawthorn, L. R. (Leslie Rushton)

    1935-01-01

    and Roasting Ear ...;........................ 42 Cowpeas, Edible ...... 48 Cucumber ........................................................................................................ 50 Dandelion ...........-................. 55 Eggplant... garden. Globe artichoke is cultivated for its large globular flower haads, which are covered by rows of thick fleshy bracts. These are edible and con- sidered a great delicacy by some people. In appearance Globe artichoke resembles a large grey...

  9. REGIONAL WATER SUPPLY PLANNING AND

    E-Print Network [OSTI]

    Mays, Larry W.

    CHAPTER 3 REGIONAL WATER SUPPLY PLANNING AND CAPACITY EXPANSION MODELS Messele Z. Ejeta California Department of Water Resources Sacramento, California Larry W. Mays Department of Civil and Environmental Engineering Arizona State University Tempe, Arizona 3.1 INTRODUCTION Water supply planning on a regional scale

  10. PITTSBURGH REGIONAL ENVIRONMENTAL THREATS ANALYSIS

    E-Print Network [OSTI]

    Jiang, Huiqiang

    AND COMMUNITIES PITTSBURGH, PA. | AUGUST 2013 #12;PRETA AIR: HAZARDOUS AIR POLLUTANTS 32 PITTSBURGH REGIONAL ENVIRONMENTAL THREATS ANALYSIS REPORT PRETA AIR: HAZARDOUS AIR POLLUTANTS (HAPs)/AIR TOXICS PREPARED BY AUTHORSPITTSBURGH REGIONAL ENVIRONMENTAL THREATS ANALYSIS (PRETA) REPORT PRETA AIR: HAZARDOUS AIR

  11. USDA Regional Conservation Partnership Program

    Broader source: Energy.gov [DOE]

    The U.S. Department of Agriculture is accepting applications for the Regional Conservation Partnership Program to identify and address natural resource objectives in balance with operational goals in order to benefit soil, water, wildlife, and related natural resources locally, regionally, and nationally.

  12. RAFT Regional Algal Feedstock Testbed

    Office of Energy Efficiency and Renewable Energy (EERE)

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

  13. Anomalous Emission from HII regions

    E-Print Network [OSTI]

    C. Dickinson

    2008-08-04

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

  14. Regional

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration wouldMassR&D100 Winners * ImpactsandRegarding Confinement Resonances Print3 AÇORIANO

  15. Regional Transmission Projects: Finding Solutions

    SciTech Connect (OSTI)

    The Keystone Center

    2005-06-15

    The Keystone Center convened and facilitated a year-long Dialogue on "Regional Transmission Projects: Finding Solutions" to develop recommendations that will help address the difficult and contentious issues related to expansions of regional electric transmission systems that are needed for reliable and economic transmission of power within and across regions. This effort brought together a cross-section of affected stakeholders and thought leaders to address the problem with the collective wisdom of their experience and interests. Transmission owners sat at the table with consumer advocates and environmental organizations. Representatives from regional transmission organizations exchanged ideas with state and federal regulators. Generation developers explored common interests with public power suppliers. Together, the Dialogue participants developed consensus solutions about how to begin unraveling some of the more intractable issues surrounding identification of need, allocation of costs, and reaching consensus on siting issues that can frustrate the development of regional transmission infrastructure. The recommendations fall into three broad categories: 1. Recommendations on appropriate institutional arrangements and processes for achieving regional consensus on the need for new or expanded transmission infrastructure 2. Recommendations on the process for siting of transmission lines 3. Recommendations on the tools needed to support regional planning, cost allocation, and siting efforts. List of Dialogue participants: List of Dialogue Participants: American Electric Power American Transmission Company American Wind Energy Association California ISO Calpine Corporation Cinergy Edison Electric Institute Environmental Defense Federal Energy Regulatory Commission Great River Energy International Transmission Company ISO-New England Iowa Public Utility Board Kanner & Associates Midwest ISO National Association of Regulatory Utility Commissioners National Association of State Utility Consumer Advocates National Grid Northeast Utilities PA Office of Consumer Advocates Pacific Gas & Electric Corporation Pennsylvania Public Utility Commission PJM Interconnection The Electricity Consumers Resource Council U.S. Department of Energy US Department of the Interior Van Ness Feldman Western Interstate Energy Board Wind on the Wires Wisconsin Public Service Commission Xcel Energy

  16. RSE Table 1.1 Relative Standard Errors for Table 1.1

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: AlternativeMonthly","10/2015"Monthly","10/2015" ,"Release7Cubicthroughthe PriceThousanda Oxygenated55,453.9 54,959.25061

  17. RSE Table 1.2 Relative Standard Errors for Table 1.2

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: AlternativeMonthly","10/2015"Monthly","10/2015" ,"Release7Cubicthroughthe PriceThousanda Oxygenated55,453.9 54,959.250612

  18. RSE Table 10.10 Relative Standard Errors for Table 10.10

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: AlternativeMonthly","10/2015"Monthly","10/2015" ,"Release7Cubicthroughthe PriceThousanda Oxygenated55,453.9 54,959.2506120

  19. RSE Table 10.11 Relative Standard Errors for Table 10.11

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: AlternativeMonthly","10/2015"Monthly","10/2015" ,"Release7Cubicthroughthe PriceThousanda Oxygenated55,453.9 54,959.25061201

  20. RSE Table 10.12 Relative Standard Errors for Table 10.12

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: AlternativeMonthly","10/2015"Monthly","10/2015" ,"Release7Cubicthroughthe PriceThousanda Oxygenated55,453.9 54,959.250612012

  1. RSE Table 10.13 Relative Standard Errors for Table 10.13

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: AlternativeMonthly","10/2015"Monthly","10/2015" ,"Release7Cubicthroughthe PriceThousanda Oxygenated55,453.9 54,959.2506120123

  2. RSE Table 2.1 Relative Standard Errors for Table 2.1

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: AlternativeMonthly","10/2015"Monthly","10/2015" ,"Release7Cubicthroughthe PriceThousanda Oxygenated55,453.9

  3. RSE Table 3.1 Relative Standard Errors for Table 3.1

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: AlternativeMonthly","10/2015"Monthly","10/2015" ,"Release7Cubicthroughthe PriceThousanda Oxygenated55,453.91 Relative Standard

  4. RSE Table 3.2 Relative Standard Errors for Table 3.2

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: AlternativeMonthly","10/2015"Monthly","10/2015" ,"Release7Cubicthroughthe PriceThousanda Oxygenated55,453.91 Relative Standard2

  5. RSE Table 3.5 Relative Standard Errors for Table 3.5

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: AlternativeMonthly","10/2015"Monthly","10/2015" ,"Release7Cubicthroughthe PriceThousanda Oxygenated55,453.91 Relative

  6. RSE Table 4.1 Relative Standard Errors for Table 4.1

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: AlternativeMonthly","10/2015"Monthly","10/2015" ,"Release7Cubicthroughthe PriceThousanda Oxygenated55,453.91 Relative1 Relative

  7. RSE Table 4.2 Relative Standard Errors for Table 4.2

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: AlternativeMonthly","10/2015"Monthly","10/2015" ,"Release7Cubicthroughthe PriceThousanda Oxygenated55,453.91 Relative1

  8. RSE Table 5.1 Relative Standard Errors for Table 5.1

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: AlternativeMonthly","10/2015"Monthly","10/2015" ,"Release7Cubicthroughthe PriceThousanda Oxygenated55,453.91 Relative11

  9. RSE Table 5.2 Relative Standard Errors for Table 5.2

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: AlternativeMonthly","10/2015"Monthly","10/2015" ,"Release7Cubicthroughthe PriceThousanda Oxygenated55,453.91 Relative112

  10. RSE Table 5.4 Relative Standard Errors for Table 5.4

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: AlternativeMonthly","10/2015"Monthly","10/2015" ,"Release7Cubicthroughthe PriceThousanda Oxygenated55,453.91 Relative1124

  11. RSE Table 5.5 Relative Standard Errors for Table 5.5

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: AlternativeMonthly","10/2015"Monthly","10/2015" ,"Release7Cubicthroughthe PriceThousanda Oxygenated55,453.91 Relative11245

  12. RSE Table 5.6 Relative Standard Errors for Table 5.6

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: AlternativeMonthly","10/2015"Monthly","10/2015" ,"Release7Cubicthroughthe PriceThousanda Oxygenated55,453.91 Relative112456

  13. RSE Table 5.7 Relative Standard Errors for Table 5.7

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: AlternativeMonthly","10/2015"Monthly","10/2015" ,"Release7Cubicthroughthe PriceThousanda Oxygenated55,453.91 Relative1124567

  14. RSE Table 5.8 Relative Standard Errors for Table 5.8

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: AlternativeMonthly","10/2015"Monthly","10/2015" ,"Release7Cubicthroughthe PriceThousanda Oxygenated55,453.91 Relative11245678

  15. RSE Table 7.10 Relative Standard Errors for Table 7.10

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: AlternativeMonthly","10/2015"Monthly","10/2015" ,"Release7Cubicthroughthe PriceThousanda Oxygenated55,453.91 Relative112456780

  16. RSE Table 7.3 Relative Standard Errors for Table 7.3

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: AlternativeMonthly","10/2015"Monthly","10/2015" ,"Release7Cubicthroughthe PriceThousanda Oxygenated55,453.91 Relative1124567803

  17. RSE Table 7.4 Relative Standard Errors for Table 7.4

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: AlternativeMonthly","10/2015"Monthly","10/2015" ,"Release7Cubicthroughthe PriceThousanda Oxygenated55,453.91

  18. RSE Table 7.5 Relative Standard Errors for Table 7.5

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: AlternativeMonthly","10/2015"Monthly","10/2015" ,"Release7Cubicthroughthe PriceThousanda Oxygenated55,453.915 Relative Standard

  19. RSE Table 7.6 Relative Standard Errors for Table 7.6

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: AlternativeMonthly","10/2015"Monthly","10/2015" ,"Release7Cubicthroughthe PriceThousanda Oxygenated55,453.915 Relative

  20. RSE Table 7.7 Relative Standard Errors for Table 7.7

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: AlternativeMonthly","10/2015"Monthly","10/2015" ,"Release7Cubicthroughthe PriceThousanda Oxygenated55,453.915 Relative7

  1. RSE Table 7.9 Relative Standard Errors for Table 7.9

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: AlternativeMonthly","10/2015"Monthly","10/2015" ,"Release7Cubicthroughthe PriceThousanda Oxygenated55,453.915 Relative79

  2. RSE Table 8.2 Relative Standard Errors for Table 8.2

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: AlternativeMonthly","10/2015"Monthly","10/2015" ,"Release7Cubicthroughthe PriceThousanda Oxygenated55,453.915 Relative792

  3. RSE Pulp & Chemical, LLC (Subsidiary of Red Shield Environmental, LLC) |

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious RankADVANCED MANUFACTURINGEnergy BillsNo. 195 - Oct. 7, 2011REMSView ValidationRESRAD-BIOTAProposedDepartment

  4. Coordinated Regional Public Transportation Plan: Heart of Texas Region 

    E-Print Network [OSTI]

    Heart of Texas Council of Governments

    2006-12-01

    % Freestone 16.4% 11.4% Hill 17.1 11.1 Limestone 16.4% 11.3% McLennan 13.0% 9.7% HOTCOG Region 14.5% 10.2% State of Texas 9.9% 8.7% Section 2.2.4 ? Automobile Availability Despite the generally lower incomes, automobile availability within the Heart...% Falls 1.65 12.2% Freestone 1.82 6.2% Hill 1.78 5.9% Limestone 1.76 7.8% McLennan 1.68 8.3% HOTCOG Region 1.71 7.9% State of Texas 1.70 7.4% Section 2.3 ? Current Services This section describes the public transportation services currently provided...

  5. Regional geophysics, Cenozoic tectonics and geologic resources...

    Open Energy Info (EERE)

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

  6. Clean Energy Manufacturing Initiative Southeast Regional Summit...

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

    Clean Energy Manufacturing Initiative Southeast Regional Summit Clean Energy Manufacturing Initiative Southeast Regional Summit July 9, 2015 8:30AM to 6:00PM EDT Renaissance...

  7. Thurston Regional Planning Council Helps Washingtonians Save...

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

    Thurston Regional Planning Council Helps Washingtonians Save on Travel Costs Thurston Regional Planning Council Helps Washingtonians Save on Travel Costs April 10, 2013 - 12:00am...

  8. Clean Cities Regional Support & Petroleum Displacement Awards...

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

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

  9. Regional Slip Tendency Analysis of the Great Basin Region

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

    Faulds, James E.

    2013-09-30

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

  10. Regional Slip Tendency Analysis of the Great Basin Region

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

    Faulds, James E.

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

  11. Southeast Regional Carbon Sequestration Partnership

    SciTech Connect (OSTI)

    Kenneth J. Nemeth

    2006-08-30

    The Southeast Regional Carbon Sequestration Partnership's (SECARB) Phase I program focused on promoting the development of a framework and infrastructure necessary for the validation and commercial deployment of carbon sequestration technologies. The SECARB program, and its subsequent phases, directly support the Global Climate Change Initiative's goal of reducing greenhouse gas intensity by 18 percent by the year 2012. Work during the project's two-year period was conducted within a ''Task Responsibility Matrix''. The SECARB team was successful in accomplishing its tasks to define the geographic boundaries of the region; characterize the region; identify and address issues for technology deployment; develop public involvement and education mechanisms; identify the most promising capture, sequestration, and transport options; and prepare action plans for implementation and technology validation activity. Milestones accomplished during Phase I of the project are listed below: (1) Completed preliminary identification of geographic boundaries for the study (FY04, Quarter 1); (2) Completed initial inventory of major sources and sinks for the region (FY04, Quarter 2); (3) Completed initial development of plans for GIS (FY04, Quarter 3); (4) Completed preliminary action plan and assessment for overcoming public perception issues (FY04, Quarter 4); (5) Assessed safety, regulatory and permitting issues (FY05, Quarter 1); (6) Finalized inventory of major sources/sinks and refined GIS algorithms (FY05, Quarter 2); (7) Refined public involvement and education mechanisms in support of technology development options (FY05, Quarter 3); and (8) Identified the most promising capture, sequestration and transport options and prepared action plans (FY05, Quarter 4).

  12. Regional Partnerships | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE: Alternative FuelsofProgram: Report Appendices |ProjectKnowRedox Shuttle Additive,Regional

  13. Cooperative monitoring of regional security agreements

    SciTech Connect (OSTI)

    Pregenzer, A.L.; Vannoni, M.; Biringer, K.L. [Sandia National Labs., Albuquerque, NM (United States). Nonproliferation and Arms Control Analysis Dept.

    1996-11-01

    This paper argues that cooperative monitoring plays a critical role in the implementation of regional security agreements and confidence building measures. A framework for developing cooperative monitoring options is proposed and several possibilities for relating bilateral and regional monitoring systems to international monitoring systems are discussed. Three bilateral or regional agreements are analyzed briefly to illustrate different possibilities. These examples illustrate that the relationship of regional or bilateral arms control or security agreements to international agreements depends on a number of factors: the overlap of provisions between regional and international agreements; the degree of interest in a regional agreement among the international community; efficiency in implementing the agreement; and numerous political considerations. Given the importance of regional security to the international community, regions should be encouraged to develop their own infrastructure for implementing regional arms control and other security agreements. A regional infrastructure need not preclude participation in an international regime. On the contrary, establishing regional institutions for arms control and nonproliferation could result in more proactive participation of regional parties in developing solutions for regional and international problems, thereby strengthening existing and future international regimes. Possible first steps for strengthening regional infrastructures are identified and potential technical requirements are discussed.

  14. Enhancing regional security agreements through cooperative monitoring

    SciTech Connect (OSTI)

    Pregenzer, A.L.

    1995-05-01

    This paper proposes that strengthening regional capabilities for formulating and implementing arms control and confidence-building measures is a tangible method of enhancing regional security. It discusses the importance of developing a regional infrastructure for arms control and confidence building and elucidates the role of technology in facilitating regional arms control and confidence-building agreements. In addition, it identifies numerous applications for regional cooperative monitoring in the areas of arms control, resource management, international commerce and disaster response. The Cooperative Monitoring Center at Sandia National Laboratories, whose aim is to help individual countries and regions acquire the tools they need to develop their own solutions to regional problems, is discussed briefly. The paper ends with recommendations for establishing regional cooperative monitoring centers.

  15. DC High School Science Bowl Regionals

    Broader source: Energy.gov [DOE]

    This event is the Washington, D.C. High School Regional competition for the US National Science Bowl. The regional competition is run by the Office of Economic Impact and Diversity, and the...

  16. Region Type Checking for Core-Java

    E-Print Network [OSTI]

    Chin, Wei Ngan

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

  17. Gas turbine row #1 steam cooled vane

    DOE Patents [OSTI]

    Cunha, Frank J. (Longwood, FL)

    2000-01-01

    A design for a vane segment having a closed-loop steam cooling system is provided. The vane segment comprises an outer shroud, an inner shroud and an airfoil, each component having a target surface on the inside surface of its walls. A plurality of rectangular waffle structures are provided on the target surface to enhance heat transfer between each component and cooling steam. Channel systems are provided in the shrouds to improve the flow of steam through the shrouds. Insert legs located in cavities in the airfoil are also provided. Each insert leg comprises outer channels located on a perimeter of the leg, each outer channel having an outer wall and impingement holes on the outer wall for producing impingement jets of cooling steam to contact the airfoil's target surface. Each insert leg further comprises a plurality of substantially rectangular-shaped ribs located on the outer wall and a plurality of openings located between outer channels of the leg to minimize cross flow degradation.

  18. All row, planar fault detection system

    DOE Patents [OSTI]

    Archer, Charles Jens; Pinnow, Kurt Walter; Ratterman, Joseph D; Smith, Brian Edward

    2013-07-23

    An apparatus, program product and method for detecting nodal faults may simultaneously cause designated nodes of a cell to communicate with all nodes adjacent to each of the designated nodes. Furthermore, all nodes along the axes of the designated nodes are made to communicate with their adjacent nodes, and the communications are analyzed to determine if a node or connection is faulty.

  19. Variable Row Spacing of Irrigated Cotton. 

    E-Print Network [OSTI]

    Longenecker, D. E.; Thaxton, E. L. Jr.; Hefner, J. J.; Lyerly, P. J.

    1970-01-01

    Rotavirus NSP4, the first described viral enterotoxin, localizes to the plasma membrane of infected cells, possibly through interaction with caveolin-1. A direct interaction between NSP4 and caveolin-1, the structural ...

  20. " Row: End Uses;"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page|Monthly","10/2015","1/15/1981" ,"DataWorking17.2 116.9 107.6 104.9612. End Uses of34 End3.

  1. " Row: End Uses;"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page|Monthly","10/2015","1/15/1981" ,"DataWorking17.2 116.9 107.6 104.9612. End Uses of34 End3.7

  2. " Row: End Uses;"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page|Monthly","10/2015","1/15/1981" ,"DataWorking17.2 116.9 107.6 104.9612. End Uses of34 End3.78

  3. " Row: End Uses;"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page|Monthly","10/2015","1/15/1981" ,"DataWorking17.2 116.9 107.6 104.9612. End Uses of34

  4. " Row: End Uses;"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page|Monthly","10/2015","1/15/1981" ,"DataWorking17.2 116.9 107.6 104.9612. End Uses of348 End

  5. " Row: End Uses;"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page|Monthly","10/2015","1/15/1981" ,"DataWorking17.2 116.9 107.6 104.9612. End Uses of348 End7

  6. " Row: End Uses;"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page|Monthly","10/2015","1/15/1981" ,"DataWorking17.2 116.9 107.6 104.9612. End Uses of348 End78

  7. " Row: NAICS Codes;"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page|Monthly","10/2015","1/15/1981" ,"DataWorking17.2 116.9 107.6 104.9612. End212. Number of

  8. " Row: NAICS Codes;"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page|Monthly","10/2015","1/15/1981" ,"DataWorking17.2 116.9 107.6 104.9612. End212. Number of2.1.

  9. " Row: NAICS Codes;"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page|Monthly","10/2015","1/15/1981" ,"DataWorking17.2 116.9 107.6 104.9612. End212. Number

  10. " Row: NAICS Codes;"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page|Monthly","10/2015","1/15/1981" ,"DataWorking17.2 116.9 107.6 104.9612. End212. Number1

  11. " Row: NAICS Codes;"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page|Monthly","10/2015","1/15/1981" ,"DataWorking17.2 116.9 107.6 104.9612. End212. Number13

  12. " Row: NAICS Codes;"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page|Monthly","10/2015","1/15/1981" ,"DataWorking17.2 116.9 107.6 104.9612. End212. Number139.1

  13. " Row: NAICS Codes;"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page|Monthly","10/2015","1/15/1981" ,"DataWorking17.2 116.9 107.6 104.9612. End212.

  14. " Row: NAICS Codes;"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page|Monthly","10/2015","1/15/1981" ,"DataWorking17.2 116.9 107.6 104.9612.9 Number of2468143

  15. Update rows? | OpenEI Community

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIX ECoop IncIowa (Utility Company) JumpGTZ ClimateFeed JumpAlbertaUniversity

  16. Geothermal Literature Review At Cascades Region (Ingebritsen...

    Open Energy Info (EERE)

    Geothermal Literature Review At Cascades Region (Ingebritsen & Mariner, 2010) Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Geothermal...

  17. Creating Representations for Continuously Moving Regions

    E-Print Network [OSTI]

    of such moving regions are oil spills, forest fires, hurricanes, schools of fish, spreads of diseases, or armies

  18. The Road Map For Regional Coordinated Public Transportation West Texas/El Paso Region 

    E-Print Network [OSTI]

    West Texas/El Paso Regional Coordinated Transportation Planning Coalition

    2006-12-01

    -1 THE ROAD MAP FOR REGIONAL COORDINATED PUBLIC TRANSPORTATION West Texas/El Paso Region Regional Service Plan for Brewster, Culberson, El Paso, Hudspeth, Jeff Davis and Presidio Counties Submitted... by the West Texas/El Paso Regional Coordinated Transportation Planning Coalition Prepared by El Paso County Transit December 1, 2006 El Paso, Texas VAMONOS West Texas/El Paso Regional Service Plan 2 COORDINATED REGIONAL PUBLIC TRANSPORTATION PLAN...

  19. Biochar and Carbon Sequestration: A Regional Perspective

    E-Print Network [OSTI]

    Everest, Graham R

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

  20. Cooperative monitoring of regional security agreements

    SciTech Connect (OSTI)

    Pregenzer, A.L.; Vannoni, M.; Biringer, K.L.

    1995-08-01

    This paper argues that cooperative monitoring plays a critical role in the implementation of regional security agreements and confidence building measures. A framework for developing cooperative monitoring options is proposed and several possibilities for relating bilateral and regional monitoring systems to international monitoring systems are discussed. Three bilateral or regional agreements are analyzed briefly to illustrate different possibilities: (1) the demilitarization of the Sinai region between Israel and Egypt in the 1970s; (2) the 1991 quadripartite agreement for monitoring nuclear facilities among Brazil, Argentina, The Argentine-Brazilian Agency for Accounting and Control of Nuclear Materials and the International Atomic Energy Agency; and (3) a bilateral Open Skies agreement between Hungary and Romania in 1991. These examples illustrate that the relationship of regional or bilateral arms control or security agreements to international agreements depends on a number of factors: the overlap of provisions between regional and international agreements; the degree of interest in a regional agreement among the international community; efficiency in implementing the agreement; and numerous political considerations.Given the importance of regional security to the international community, regions should be encouraged to develop their own infrastructure for implementing regional arms control and other security agreements. A regional infrastructure need not preclude participation in an international regime. On the contrary, establishing regional institutions for arms control and nonproliferation could result in more proactive participation of regional parties in developing solutions for regional and international problems, thereby strengthening existing and future international regimes. Possible first steps for strengthening regional infrastructures are identified and potential technical requirements are discussed.

  1. Securing non-volatile memory regions

    DOE Patents [OSTI]

    Faraboschi, Paolo; Ranganathan, Parthasarathy; Muralimanohar, Naveen

    2013-08-20

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

  2. Southeast Regional Clean Energy Policy Analysis

    Office of Energy Efficiency and Renewable Energy (EERE)

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

  3. Regional Systems Development for Geothermal Energy Resources...

    Open Energy Info (EERE)

    Systems Development for Geothermal Energy Resources Pacific Region (California and Hawaii). Task 3: water resources evaluation. Topical report Jump to: navigation, search...

  4. Enforcement Policy Statement: Compliance Period for Regional...

    Office of Environmental Management (EM)

    conservation standards for residential furnaces, central air conditioners, and heat pumps, including regional standards for different product types in indicated States. 76 FR...

  5. Enforcement Policy Statement: Regional Standards Enforcement...

    Office of Environmental Management (EM)

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

  6. Northwest Region Combined Heat and Power Projects

    Broader source: Energy.gov [DOE]

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

  7. Pacific Region Combined Heat and Power Projects

    Broader source: Energy.gov [DOE]

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

  8. Hedge cities : gambling on regional futures

    E-Print Network [OSTI]

    Shorett, Mark, 1976-

    2004-01-01

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

  9. INVESTIGATION OF BULK POWER MIDWEST REGION

    E-Print Network [OSTI]

    Laughlin, Robert B.

    INVESTIGATION OF BULK POWER MARKETS MIDWEST REGION November 1, 2000 The analyses and conclusions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2-11 1. Bulk Power Prices . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2-24 D. Retail Access

  10. Regional Analysis And Characterization Of Fractured Aquifers...

    Open Energy Info (EERE)

    Regional Analysis And Characterization Of Fractured Aquifers In The Virginia Blue Ridge And Piedmont Provinces Jump to: navigation, search OpenEI Reference LibraryAdd to library...

  11. 2011 Municipal Consortium Northwest Region Workshop Materials

    Broader source: Energy.gov [DOE]

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

  12. Regional weather modeling on parallel computers.

    SciTech Connect (OSTI)

    Baillie, C.; Michalakes, J.; Skalin, R.; Mathematics and Computer Science; NOAA Forecast Systems Lab.; Norwegian Meteorological Inst.

    1997-01-01

    This special issue on 'regional weather models' complements the October 1995 special issue on 'climate and weather modeling', which focused on global models. In this introduction we review the similarities and differences between regional and global atmospheric models. Next, the structure of regional models is described and we consider how the basic algorithms applied in these models influence the parallelization strategy. Finally, we give a brief overview of the eight articles in this issue and discuss some remaining challenges in the area of adapting regional weather models to parallel computers.

  13. Northeast Region Combined Heat and Power Projects

    Office of Energy Efficiency and Renewable Energy (EERE)

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

  14. Regional Resource Centers for Innovation Brochure (Revised)

    SciTech Connect (OSTI)

    Wogsland, J.

    2000-09-14

    This brochure describes OIT's Regional Resource Centers for Innovation (RCIs), which provide the Innovation and Invention program grantees and other small business energy innovators commercialization assistance.

  15. Regional characteristics, tilt domains, and extensional history...

    Open Energy Info (EERE)

    Report Number 303 DOI Not Provided Check for DOI availability: http:crossref.org Online Internet link for Regional characteristics, tilt domains, and extensional history of the...

  16. NW Michigan Regional Fruit Grower Newsletter -March 2010 CALENDAR OF EVENTS

    E-Print Network [OSTI]

    Boardman River Nature Center 3/29 Row Crop & Live Stock Program Boardman River Nature Center 3/30 Direct Traverse Conservation District is hosting a series of Farm Workshops at the Boardman River Nature Center, a Good Agricultural Practices - Food Safety Audit program will run from 1:30- 4:00. This program

  17. Regional Networks for Energy Efficiency | Department of Energy

    Energy Savers [EERE]

    Regional Networks for Energy Efficiency Regional Networks for Energy Efficiency Better Buildings Neighborhood Program Sustainability Peer Exchange Call: Regional Networks for...

  18. Roadmap: Associate of Arts Regional College

    E-Print Network [OSTI]

    Sheridan, Scott

    Roadmap: Associate of Arts [RE-AA-AA] Regional College Catalog Year: 2012-2013 Page 1 of 2 | Last Updated: 12-Mar-12/LNHD This roadmap is a recommended semester-by-semester plan of study for this major GPA Overall GPA 61 2.000 2.000 #12;Roadmap: Associate of Arts [RE-AA-AA] Regional College Catalog Year

  19. Roadmap: Associate of Arts Regional College

    E-Print Network [OSTI]

    Sheridan, Scott

    Roadmap: Associate of Arts [RE-AA-AA] Regional College Catalog Year: 2013-2014 Page 1 of 2 | Last Updated: 27-Feb-13/LNHD This roadmap is a recommended semester-by-semester plan of study for this major.000 #12;Roadmap: Associate of Arts [RE-AA-AA] Regional College Catalog Year: 2013-2014 Page 2 of 2 | Last

  20. Roadmap: Associate of Science Regional College

    E-Print Network [OSTI]

    Sheridan, Scott

    Roadmap: Associate of Science [RE-AS-AS] Regional College Catalog Year: 2013-2014 Page 1 of 2 | Last Updated: 27-Feb-13/LNHD This roadmap is a recommended semester-by-semester plan of study.000 #12;Roadmap: Associate of Science [RE-AS-AS] Regional College Catalog Year: 2013-2014 Page 2 of 2

  1. Roadmap: Associate of Science Regional College

    E-Print Network [OSTI]

    Sheridan, Scott

    Roadmap: Associate of Science [RE-AS-AS] Regional College Catalog Year: 2012-2013 Page 1 of 2 | Last Updated: 12-Mar-12/LNHD This roadmap is a recommended semester-by-semester plan of study GPA Overall GPA 61 2.000 2.000 #12;Roadmap: Associate of Science [RE-AS-AS] Regional College Catalog

  2. Lateral boundary errors in regional numerical weather

    E-Print Network [OSTI]

    ?umer, Slobodan

    Lateral boundary errors in regional numerical weather prediction models Author: Ana Car Advisor, they describe evolution of atmospher - weather forecast. Every NWP model solves the same system of equations (1: assoc. prof. dr. Nedjeljka Zagar January 5, 2015 Abstract Regional models are used in many national

  3. Regional Analysis of Impediments to Fair

    E-Print Network [OSTI]

    Capecchi, Mario R.

    participated in the HUD Sustainable Communities Regional Planning Grant. This grant was awarded to Salt Lake to this effort was the local HUD office. Kelly Jorgenson, Pauline Zvonkovic, and Michele Hutchins were invaluable included representatives from: Salt Lake HUD office, Wasatch Front Regional Council (MPO), Mountainland

  4. Future Regional Climates Jason Evans,a

    E-Print Network [OSTI]

    Evans, Jason

    Chapter 9 Future Regional Climates Jason Evans,a John McGregorb , and Kendal McGuffiec a Climate of Dynamical Downscaling 235 9.3.1.6. Future Development in Dynamical Downscaling 235 9.3.2. Statistical' Future Climate and Its Probability 242 9.5. Achieving Regional Climate Predictions 243 9.5.1. Water

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

    E-Print Network [OSTI]

    Hamann, Andreas

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

  6. The CO2 Content of Consumption Across US Regions: A Multi-Regional

    E-Print Network [OSTI]

    than when attributed on a production basis. Second, when attributing emissions on a consumption basisThe CO2 Content of Consumption Across US Regions: A Multi-Regional Input-Output (MRIO) Approach: globalchange@mit.edu Website: http://globalchange.mit.edu/ #12;The CO2 Content of Consumption Across US Regions

  7. Northwest Regional Technology Center, January 2014 Page 1 of 2 Around The Region In Homeland Security

    E-Print Network [OSTI]

    Northwest Regional Technology Center, January 2014 Page 1 of 2 Around The Region In Homeland Security January 2014 The Northwest Regional Technology Center (NWRTC) is a virtual resource center resolutions to seek out growth opportunities both personally and professionally. Conveniently the Disaster

  8. Arrowhead Center: Coal Production and Regional Economic Growth Report Title: Coal Production and Regional Economic Growth

    E-Print Network [OSTI]

    Johnson, Eric E.

    Arrowhead Center: Coal Production and Regional Economic Growth Report Title: Coal Production@nmsu.edu #12;Arrowhead Center: Coal Production and Regional Economic Growth i Disclaimer This report States Government or any agency thereof. #12;Arrowhead Center: Coal Production and Regional Economic

  9. Regional seismic discrimination research at LLNL

    SciTech Connect (OSTI)

    Walter, W.R.; Mayeda, K.M.; Goldstein, P.; Patton, H.J.; Jarpe, S.; Glenn, L.

    1995-10-01

    The ability to verify a Comprehensive Test Ban Treaty (CTBT) depends in part on the ability to seismically detect and discriminate between potential clandestine underground nuclear tests and other seismic sources, including earthquakes and mining activities. Regional techniques are necessary to push detection and discrimination levels down to small magnitudes, but existing methods of event discrimination are mainly empirical and show much variability from region to region. The goals of Lawrence Livermore National Laboratory`s (LLNL`s) regional discriminant research are to evaluate the most promising discriminants, improve the understanding of their physical basis and use this information to develop new and more effective discriminants that can be transported to new regions of high monitoring interest. In this report the authors discuss preliminary efforts to geophysically characterize the Middle East and North Africa. They show that the remarkable stability of coda allows one to develop physically based, stable single station magnitude scales in new regions. They then discuss progress to date on evaluating and improving physical understanding and ability to model regional discriminants, focusing on the comprehensive NTS dataset. The authors apply this modeling ability to develop improved discriminants including slopes of P to S ratios. They find combining disparate discriminant techniques is particularly effective in identifying consistent outliers such as shallow earthquakes and mine seismicity. Finally they discuss development and use of new coda and waveform modeling tools to investigate special events.

  10. Control of Regional and Global Weather

    E-Print Network [OSTI]

    Alexander Bolonkin

    2007-01-09

    Author suggests and researches a new revolutionary idea for regional and global weather control. He offers to cover cities, bad regions of country, full country or a continent by a thin closed film with control clarity located at a top limit of the Earth troposphere (4 - 6 km). The film is supported at altitude by small additional atmospheric pressure and connected to ground by thin cables. It is known, the troposphere defines the Earth weather. Authors show this closed dome allows to do a full control of the weather in a given region (the day is always fine, the rain is only in night, no strong wind). The average Earth (white cloudy) reflectance equal 0.3 - 0.5. That means the Earth losses about 0.3 - 0.5 of a solar energy. The dome controls the clarity of film and converts the cold regions to subtropics and creates the hot deserts, desolate wildernesses to the prosperous regions with temperate climate. That is a realistic and the cheapest method of the weather control in the Earth at the current time. Key words: Global weather control, gigantic film dome, converting a cold region to subtropics, converting desolate wilderness to a prosperous region.

  11. Regional Climate Modeling: Progress, Challenges, and Prospects

    SciTech Connect (OSTI)

    Wang, Yuqing; Leung, Lai R.; McGregor, John L.; Lee, Dong-Kyou; Wang, Wei-Chyung; Ding, Yihui; Kimura, Fujio

    2004-12-01

    Regional climate modeling with regional climate models (RCMs) has matured over the past decade and allows for meaningful utilization in a broad spectrum of applications. In this paper, latest progresses in regional climate modeling studies are reviewed, including RCM development, applications of RCMs to dynamical downscaling for climate change assessment, seasonal climate predictions and climate process studies, and the study of regional climate predictability. Challenges and potential directions of future research in this important area are discussed, with the focus on those to which less attention has been given previously, such as the importance of ensemble simulations, further development and improvement of regional climate modeling approach, modeling extreme climate events and sub-daily variation of clouds and precipitation, model evaluation and diagnostics, applications of RCMs to climate process studies and seasonal predictions, and development of regional earth system models. It is believed that with both the demonstrated credibility of RCMs’ capability in reproducing not only monthly to seasonal mean climate and interannual variability but also the extreme climate events when driven by good quality reanalysis and the continuous improvements in the skill of global general circulation models (GCMs) in simulating large-scale atmospheric circulation, regional climate modeling will remain an important dynamical downscaling tool for providing the needed information for assessing climate change impacts and seasonal climate predictions, and a powerful tool for improving our understanding of regional climate processes. An internationally coordinated effort can be developed with different focuses by different groups to advance regional climate modeling studies. It is also recognized that since the final quality of the results from nested RCMs depends in part on the realism of the large-scale forcing provided by GCMs, the reduction of errors and improvement in physics parameterizations in both GCMs and RCMs remain a priority for climate modeling community.

  12. DOE Tour of Zero: Row Homes at Perrin's Row by New Town Builders |

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustmentsShirleyEnergyTher i n c i pStateDOE FederalTheof Energy2,408-square-foot

  13. DOE Tour of Zero: Row Homes at Perrin's Row by New Town Builders |

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustmentsShirley Ann JacksonDepartment of Energy Facilities By E-mail:Carly Wilkins(PartCalifornia

  14. New York/Region Opinions Editorial Observer

    E-Print Network [OSTI]

    Pianka, Eric R.

    New York/Region Opinions Editorial Observer Grasping the Depth of Time as a First Step of us. The idea of such quantities of time is extremely new. Humans began to understand the true scale

  15. Northeast Regional Land Cover Change Report

    E-Print Network [OSTI]

    . To learn more about the C-CAP data products used in this report and to access the data sets, please visit% of the total land area. The region has significant coastal-dependent industries, including tourism

  16. Detection of amplified or deleted chromosomal regions

    DOE Patents [OSTI]

    Stokke, T.; Pinkel, D.; Gray, J.W.

    1995-12-05

    The present invention relates to in situ hybridization methods for the identification of new chromosomal abnormalities associated with various diseases. In particular, it provides probes which are specific to a region of amplification in chromosome 20. 3 figs.

  17. 2011 Municipal Consortium Northeast Region Workshop Materials

    Broader source: Energy.gov [DOE]

    This page provides links to the presentations given at the DOE Municipal Solid-State Street Lighting Consortium Northeast Region Workshop, held in Philadelphia, May 19–20, 2011.

  18. AWEA Wind Energy Regional Summit: Northeast

    Broader source: Energy.gov [DOE]

    The AWEA Wind Energy Northeast Regional Summit will connect you with New England-area wind energy professionals and offers the opportunity to discuss significant issues related to land-based and...

  19. ENVIRONMENTAL QUALITY AND REGIONAL ECONOMIC DEVELOPMENT

    E-Print Network [OSTI]

    i ENVIRONMENTAL QUALITY AND REGIONAL ECONOMIC DEVELOPMENT Executive summary Background This report was prepared for the Environmental Conservation Branch, Environment Canada, Vancouver, by CoastWriters Research and environmental planners, to stakeholders in planning processes, to businessmen and community activists

  20. 2011 Municipal Consortium Southeast Region Workshop Materials

    Broader source: Energy.gov [DOE]

    This page provides links to the presentations given at the DOE Municipal Solid-State Street Lighting Consortium Southeast Region Workshop, held in Tampa, FL, February 17–18, 2011.

  1. 2010 Municipal Consortium Southwest Region Workshop Materials

    Broader source: Energy.gov [DOE]

    This page provides links to the presentations given at the DOE Municipal Solid-State Street Lighting Consortium Southwest Region Workshop, held in Los Angeles on September 30, 2010.

  2. 2011 Municipal Consortium Southwest Region Workshop Materials

    Broader source: Energy.gov [DOE]

    This page provides links to the presentations given at the DOE Municipal Solid-State Street Lighting Consortium Southwest Region Workshop, held in San Jose, California, August 25­–26, 2011.

  3. Residential market transformation: National and regional indicators

    SciTech Connect (OSTI)

    Van Wie McGrory, Laura L.; McNamara, Maureen; Suozzo, Margaret

    2000-06-01

    A variety of programs are underway to address market barriers to the adoption of energy-efficient residential technologies and practices. Most are administered by utilities, states, or regions that rely on the Energy Star as a consistent platform for program marketing and messaging. This paper reviews regional and national market transformation activities for three key residential end-uses -- air conditioning, clothes washing, and lighting -- characterizing current and ongoing programs; reporting on progress; identifying market indicators; and discussing implications.

  4. West Central Texas Regional Transportation Final Report 

    E-Print Network [OSTI]

    West Central Texas Council of Governments

    2006-01-01

    incorporated work conducted in 2005 by the Central Texas Rural Transit District (CARR) and WCTCOG including a survey of transportation providers and stakeholders. Development of a regional inventory of transit providers, evaluation of the abilities... and capabilities of existing transit providers, and community outreach through a series of pubic meetings were conducted in April and May of 2006. West Central Texas is unique among the 24 Texas regions having four public transit providers, three rural...

  5. Clean Energy Manufacturing Initiative Southeast Regional Summit

    Broader source: Energy.gov [DOE]

    As part of the Clean Energy Manufacturing Initiative (CEMI), the U.S. Department of Energy (DOE) organizes regional summits around the country to expand its partnerships, share resources and successes, and refine its strategy to boost U.S. competitiveness in clean energy manufacturing. The CEMI Southeast Regional Summit, which will be held on July 9, 2015 at the Renaissance Atlanta Midtown Hotel in Atlanta, Georgia, is the third in this series.

  6. [CII] dynamics in the S140 region

    SciTech Connect (OSTI)

    Dedes, C.; Röllig, M.; Okada, Y.; Ossenkopf, V.; Mookerjea, B.; Collaboration: WADI Team

    2015-01-22

    We report the observation of [C II] emission in a cut through the S140 region together with single pointing observations of several molecular tracers, including hydrides, in key regions of the photon-dominated region (PDR) and molecular cloud [1]. At a distance of 910 pc, a BOV star ionizes the edge of the molecular cloud L1204, creating S140. In addition, the dense molecular cloud hosts a cluster of embedded massive young stellar objects only 75' from the H II region [e.g. 2, 3]. We used HIFI on Herschel to observe [CII] in a strip following the direction of the impinging radiation across the ionisation front and through the cluster of embedded YSOs. With [C II], we can trace the ionising radiation and, together with the molecular tracers such as CO isotopologues and HCO{sup +}, study the dynamical processes in the region. Combining HIFIs high spectral resolution data with ground based molecular data allows us to study the dynamics and excitation conditions both in the ionization front and the dense molecular star forming region and model their physical conditions [4].

  7. SEARCHING FOR NEW HYPERCOMPACT H II REGIONS

    SciTech Connect (OSTI)

    Sanchez-Monge, Alvaro [Osservatorio Astrofisico di Arcetri, INAF, Largo E. Fermi 5, I-50125 Firenze (Italy); Pandian, Jagadheep D. [Institute for Astronomy, University of Hawaii, 2680 Woodlawn Dr., Honolulu, HI 96822 (United States); Kurtz, Stan, E-mail: asanchez@arcetri.astro.it [Centro de RadioastronomIa y Astrofisica, Universidad Nacional Autonoma de Mexico, Apdo. Postal 3-72, 58090 Morelia, Michoacan (Mexico)

    2011-09-20

    Hypercompact (HC) H II regions are, by nature, very young H II regions, associated with the earliest stages of massive star formation. They may represent the transition phase as an early B-type star grows into an O-type star. Unfortunately, so few HC H II regions are presently known that their general attributes and defining characteristics are based on small number statistics. A larger sample is needed for detailed studies and good statistics. Class II methanol masers are one of the best indicators of the early stages of massive star formation. Using the Arecibo Methanol Maser Galactic Plane Survey-the most sensitive blind survey for 6.7 GHz methanol masers to date-we selected 24 HC H II region candidates. We made Expanded Very Large Array continuum observations at 3.6 and 1.3 cm to search for HC H II regions associated with these masers. We identified six potential HC H II regions in our sample based on the presence of optically thick free-free emission. Overall, we find that 30% of the methanol masers have an associated centimeter radio continuum source (separation less than 0.1 pc), which is in general agreement with previous studies.

  8. Mid-Atlantic Regional Wind Energy Institute

    SciTech Connect (OSTI)

    Courtney Lane

    2011-12-20

    As the Department of Energy stated in its 20% Wind Energy by 2030 report, there will need to be enhanced outreach efforts on a national, state, regional, and local level to communicate wind development opportunities, benefits and challenges to a diverse set of stakeholders. To help address this need, PennFuture was awarded funding to create the Mid-Atlantic Regional Wind Energy Institute to provide general education and outreach on wind energy development across Maryland, Virginia, Delaware, Pennsylvania and West Virginia. Over the course of the two-year grant period, PennFuture used its expertise on wind energy policy and development in Pennsylvania and expanded it to other states in the Mid-Atlantic region. PennFuture accomplished this through reaching out and establishing connections with policy makers, local environmental groups, health and economic development organizations, and educational institutions and wind energy developers throughout the Mid-Atlantic region. PennFuture conducted two regional wind educational forums that brought together wind industry representatives and public interest organizations from across the region to discuss and address wind development in the Mid-Atlantic region. PennFuture developed the agenda and speakers in collaboration with experts on the ground in each state to help determine the critical issue to wind energy in each location. The sessions focused on topics ranging from the basics of wind development; model ordinance and tax issues; anti-wind arguments and counter points; wildlife issues and coalition building. In addition to in-person events, PennFuture held three webinars on (1) Generating Jobs with Wind Energy; (2) Reviving American Manufacturing with Wind Power; and (3) Wind and Transmission. PennFuture also created a web page for the institute (http://www.midatlanticwind.org) that contains an online database of fact sheets, research reports, sample advocacy letters, top anti-wind claims and information on how to address them, wind and wildlife materials and sample model ordinances. Video and presentations from each in-person meeting and webinar recordings are also available on the site. At the end of the two-year period, PennFuture has accomplished its goal of giving a unified voice and presence to wind energy advocates in the Mid-Atlantic region. We educated a broad range of stakeholders on the benefits of wind energy and gave them the tools to help make a difference in their states. We grew a database of over 500 contacts and hope to continue the discussion and work around the importance of wind energy in the region.

  9. Multilateral, regional and bilateral energy trade governance

    SciTech Connect (OSTI)

    Leal-Arcas, Rafael; Grasso, Costantino; Rios, Juan Alemany )

    2014-12-01

    The current international energy trade governance system is fragmented and multi-layered. Streamlining it for greater legal cohesiveness and international political and economic cooperation would promote global energy security. The current article explores three levels of energy trade governance: multilateral, regional and bilateral. Most energy-rich countries are part of the multilateral trading system, which is institutionalized by the World Trade Organization (WTO). The article analyzes the multilateral energy trade governance system by focusing on the WTO and energy transportation issues. Regionally, the article focuses on five major regional agreements and their energy-related aspects and examines the various causes that explain the proliferation of regional trade agreements, their compatibility with WTO law, and then provides several examples of regional energy trade governance throughout the world. When it comes to bilateral energy trade governance, this article only addresses the European Union’s (EU) bilateral energy trade relations. The article explores ways in which gaps could be filled and overlaps eliminated whilst remaining true to the high-level normative framework, concentrating on those measures that would enhance EU energy security.

  10. The 17 GHz active region number

    SciTech Connect (OSTI)

    Selhorst, C. L.; Pacini, A. A.; Costa, J. E. R.; Giménez de Castro, C. G.; Valio, A.; Shibasaki, K.

    2014-08-01

    We report the statistics of the number of active regions (NAR) observed at 17 GHz with the Nobeyama Radioheliograph between 1992, near the maximum of cycle 22, and 2013, which also includes the maximum of cycle 24, and we compare with other activity indexes. We find that NAR minima are shorter than those of the sunspot number (SSN) and radio flux at 10.7 cm (F10.7). This shorter NAR minima could reflect the presence of active regions generated by faint magnetic fields or spotless regions, which were a considerable fraction of the counted active regions. The ratio between the solar radio indexes F10.7/NAR shows a similar reduction during the two minima analyzed, which contrasts with the increase of the ratio of both radio indexes in relation to the SSN during the minimum of cycle 23-24. These results indicate that the radio indexes are more sensitive to weaker magnetic fields than those necessary to form sunspots, of the order of 1500 G. The analysis of the monthly averages of the active region brightness temperatures shows that its long-term variation mimics the solar cycle; however, due to the gyro-resonance emission, a great number of intense spikes are observed in the maximum temperature study. The decrease in the number of these spikes is also evident during the current cycle 24, a consequence of the sunspot magnetic field weakening in the last few years.

  11. A Hierarchical Evaluation of Regional Climate Simulations

    SciTech Connect (OSTI)

    Leung, Lai-Yung R.; Ringler, Todd; Collins, William D.; Taylor, Mark; Ashfaq, Moetasim

    2013-08-20

    Global climate models (GCMs) are the primary tools for predicting the evolution of the climate system. Through decades of development, GCMs have demonstrated useful skill in simulating climate at continental to global scales. However, large uncertainties remain in projecting climate change at regional scales, which limit our ability to inform decisions on climate change adaptation and mitigation. To bridge this gap, different modeling approaches including nested regional climate models (RCMs), global stretch-grid models, and global high-resolution atmospheric models have been used to provide regional climate simulations (Leung et al. 2003). In previous efforts to evaluate these approaches, isolating their relative merits was not possible because factors such as dynamical frameworks, physics parameterizations, and model resolutions were not systematically constrained. With advances in high performance computing, it is now feasible to run coupled atmosphere-ocean GCMs at horizontal resolution comparable to what RCMs use today. Global models with local refinement using unstructured grids have become available for modeling regional climate (e.g., Rauscher et al. 2012; Ringler et al. 2013). While they offer opportunities to improve climate simulations, significant efforts are needed to test their veracity for regional-scale climate simulations.

  12. "RSE Table C1.1. Relative Standard Errors for Table C1.1;"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page|Monthly","10/2015","1/15/1981" ,"DataWorking17.2Residential"0 DETAILED3.491.13.1.

  13. "RSE Table C10.1. Relative Standard Errors for Table C10.1;"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page|Monthly","10/2015","1/15/1981" ,"DataWorking17.2Residential"0 DETAILED3.491.13.1.1.

  14. "RSE Table C10.2. Relative Standard Errors for Table C10.2;"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page|Monthly","10/2015","1/15/1981" ,"DataWorking17.2Residential"0 DETAILED3.491.13.1.1.2.

  15. "RSE Table C10.3. Relative Standard Errors for Table C10.3;"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page|Monthly","10/2015","1/15/1981" ,"DataWorking17.2Residential"0 DETAILED3.491.13.1.1.2.3.

  16. "RSE Table C11.3. Relative Standard Errors for Table C11.3;"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page|Monthly","10/2015","1/15/1981" ,"DataWorking17.2Residential"0

  17. "RSE Table C12.1. Relative Standard Errors for Table C12.1;"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page|Monthly","10/2015","1/15/1981" ,"DataWorking17.2Residential"02.1. Relative Standard

  18. "RSE Table C2.1. Relative Standard Errors for Table C2.1;"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page|Monthly","10/2015","1/15/1981" ,"DataWorking17.2Residential"02.1. Relative

  19. "RSE Table C3.1. Relative Standard Errors for Table C3.1;"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page|Monthly","10/2015","1/15/1981" ,"DataWorking17.2Residential"02.1. RelativeC3.1.

  20. "RSE Table C4.1. Relative Standard Errors for Table C4.1;"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page|Monthly","10/2015","1/15/1981" ,"DataWorking17.2Residential"02.1. RelativeC3.1.C4.1.

  1. "RSE Table C9.1. Relative Standard Errors for Table C9.1;"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page|Monthly","10/2015","1/15/1981" ,"DataWorking17.2Residential"02.1.

  2. "RSE Table E1.1. Relative Standard Errors for Table E1.1;"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page|Monthly","10/2015","1/15/1981" ,"DataWorking17.2Residential"02.1..1. Relative Standard

  3. "RSE Table E13.1. Relative Standard Errors for Table E13.1;"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page|Monthly","10/2015","1/15/1981" ,"DataWorking17.2Residential"02.1..1. Relative

  4. "RSE Table E13.2. Relative Standard Errors for Table E13.2;"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page|Monthly","10/2015","1/15/1981" ,"DataWorking17.2Residential"02.1..1. Relative2.

  5. "RSE Table E13.3. Relative Standard Errors for Table E13.3;"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page|Monthly","10/2015","1/15/1981" ,"DataWorking17.2Residential"02.1..1. Relative2.3.

  6. "RSE Table E2.1. Relative Standard Errors for Table E2.1;"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page|Monthly","10/2015","1/15/1981" ,"DataWorking17.2Residential"02.1..1. Relative2.3.E2.1.

  7. "RSE Table E7.1. Relative Standard Errors for Table E7.1;"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page|Monthly","10/2015","1/15/1981" ,"DataWorking17.2Residential"02.1..1.

  8. "RSE Table E7.2. Relative Standard Errors for Table E7.2;"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page|Monthly","10/2015","1/15/1981" ,"DataWorking17.2Residential"02.1..1.2. Relative

  9. "RSE Table N1.3. Relative Standard Errors for Table N1.3;"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page|Monthly","10/2015","1/15/1981" ,"DataWorking17.2Residential"02.1..1.2. Relative.3.

  10. "RSE Table N11.1. Relative Standard Errors for Table N11.1;"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page|Monthly","10/2015","1/15/1981" ,"DataWorking17.2Residential"02.1..1.2. Relative.3.1.

  11. "RSE Table N11.2. Relative Standard Errors for Table N11.2;"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page|Monthly","10/2015","1/15/1981" ,"DataWorking17.2Residential"02.1..1.2. Relative.3.1.2.

  12. "RSE Table N11.3. Relative Standard Errors for Table N11.3;"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page|Monthly","10/2015","1/15/1981" ,"DataWorking17.2Residential"02.1..1.2.

  13. "RSE Table N11.4. Relative Standard Errors for Table N11.4;"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page|Monthly","10/2015","1/15/1981" ,"DataWorking17.2Residential"02.1..1.2.4. Relative

  14. "RSE Table N13.1. Relative Standard Errors for Table N13.1;"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page|Monthly","10/2015","1/15/1981" ,"DataWorking17.2Residential"02.1..1.2.4. Relative1.

  15. "RSE Table N13.3. Relative Standard Errors for Table N13.3;"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page|Monthly","10/2015","1/15/1981" ,"DataWorking17.2Residential"02.1..1.2.4. Relative1.3.

  16. "RSE Table N5.1. Relative Standard Errors for Table N5.1;"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page|Monthly","10/2015","1/15/1981" ,"DataWorking17.2Residential"02.1..1.2.4. Relative1.3.1.

  17. "RSE Table N5.2. Relative Standard Errors for Table N5.2;"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page|Monthly","10/2015","1/15/1981" ,"DataWorking17.2Residential"02.1..1.2.4.

  18. "RSE Table N7.1. Relative Standard Errors for Table N7.1;"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page|Monthly","10/2015","1/15/1981" ,"DataWorking17.2Residential"02.1..1.2.4.N7.1. Relative

  19. "RSE Table N8.3. Relative Standard Errors for Table N8.3;"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page|Monthly","10/2015","1/15/1981" ,"DataWorking17.2Residential"02.1..1.2.4.N7.1.

  20. Sunspot transition region oscillations in NOAA 8156

    E-Print Network [OSTI]

    N. Brynildsen; T. Leifsen; O. Kjeldseth-Moe; P. Maltby; K. Wilhelm

    1998-12-01

    Based on observations obtained with the Solar and Heliospheric Observatory - SOHO joint observing program for velocity fields in sunspot regions, we have detected 3 min transition region umbral oscillations in NOAA 8156. Simultaneous recordings of O V $\\lambda$629 and N V $\\lambda$1238, $\\lambda$1242 with the SUMER instrument give the spatial distribution of power in the 3 min oscillations, both in intensity and line-of-sight velocity. Comparing loci with the same phase we find that the entire umbral transition region oscillates. The observed maxima in peak line intensity are nearly in phase with the maxima in velocity directed towards the observer. We discuss the suggestion that the waves are upward propagating acoustic waves.

  1. SOUTHWEST REGIONAL PARTNERSHIP ON CARBON SEQUESTRATION

    SciTech Connect (OSTI)

    Brian McPherson; Rick Allis; Barry Biediger; Joel Brown; Jim Cappa; George Guthrie; Richard Hughes; Eugene Kim; Robert Lee; Dennis Leppin; Charles Mankin; Orman Paananen; Rajesh Pawar; Tarla Peterson; Steve Rauzi; Jerry Stuth; Genevieve Young

    2004-11-01

    The Southwest Partnership Region includes six whole states, including Arizona, Colorado, Kansas, New Mexico, Oklahoma, and Utah, roughly one-third of Texas, and significant portions of adjacent states. The Partnership comprises a large, diverse group of expert organizations and individuals specializing in carbon sequestration science and engineering, as well as public policy and outreach. The main objective of the Southwest Partnership project is to achieve an 18% reduction in carbon intensity by 2012. The Partnership made great progress in this first year. Action plans for possible Phase II carbon sequestration pilot tests in the region are almost finished, including both technical and non-technical aspects necessary for developing and carrying out these pilot tests. All partners in the Partnership are taking an active role in evaluating and ranking optimum sites and technologies for capture and storage of CO{sub 2} in the Southwest Region. We are identifying potential gaps in all aspects of potential sequestration deployment issues.

  2. Light emitting device having peripheral emissive region

    DOE Patents [OSTI]

    Forrest, Stephen R

    2013-05-28

    Light emitting devices are provided that include one or more OLEDs disposed only on a peripheral region of the substrate. An OLED may be disposed only on a peripheral region of a substantially transparent substrate and configured to emit light into the substrate. Another surface of the substrate may be roughened or include other features to outcouple light from the substrate. The edges of the substrate may be beveled and/or reflective. The area of the OLED(s) may be relatively small compared to the substrate surface area through which light is emitted from the device. One or more OLEDs also or alternatively may be disposed on an edge of the substrate about perpendicular to the surface of the substrate through which light is emitted, such that they emit light into the substrate. A mode expanding region may be included between each such OLED and the substrate.

  3. Regional Lead Agents and County Coordinators 2011 RESPONSIBILITY NAME COUNTY

    E-Print Network [OSTI]

    Bolding, M. Chad

    #12;Regional Lead Agents and County Coordinators 2011 RESPONSIBILITY NAME COUNTY REGION 1 Regional Lead Millie Davenport HGIC County Coordinator Matt Burns Pickens County Coordinator Marty Watt Anderson County Coordinator Morris Warner Oconee REGION 2 Regional Lead Danny Howard Greenville County Coordinator

  4. FY08 LDRD Final Report Regional Climate

    SciTech Connect (OSTI)

    Bader, D C; Chin, H; Caldwell, P M

    2009-05-19

    An integrated, multi-model capability for regional climate change simulation is needed to perform original analyses to understand and prepare for the impacts of climate change on the time and space scales that are critical to California's future environmental quality and economic prosperity. Our intent was to develop a very high resolution regional simulation capability to address consequences of climate change in California to complement the global modeling capability that is supported by DOE at LLNL and other institutions to inform national and international energy policies. The California state government, through the California Energy Commission (CEC), institutionalized the State's climate change assessment process through its biennial climate change reports. The bases for these reports, however, are global climate change simulations for future scenarios designed to inform international policy negotiations, and are primarily focused on the global to continental scale impacts of increasing emissions of greenhouse gases. These simulations do not meet the needs of California public and private officials who will make major decisions in the next decade that require an understanding of climate change in California for the next thirty to fifty years and its effects on energy use, water utilization, air quality, agriculture and natural ecosystems. With the additional development of regional dynamical climate modeling capability, LLNL will be able to design and execute global simulations specifically for scenarios important to the state, then use those results to drive regional simulations of the impacts of the simulated climate change for regions as small as individual cities or watersheds. Through this project, we systematically studied the strengths and weaknesses of downscaling global model results with a regional mesoscale model to guide others, particularly university researchers, who are using the technique based on models with less complete parameterizations or coarser spatial resolution. Further, LLNL has now built a capability in state-of-the-science mesoscale climate modeling that complements that which it has in global climate simulation, providing potential sponsors with an end-to-end simulation and analysis program.

  5. Expansive components in H II regions

    E-Print Network [OSTI]

    M. Relano; J. E. Beckman

    2004-10-18

    We study the presence of low intensity high velocity components, which we have termed wing features in the integrated Halpha emission line profiles of the HII region populations of the spiral barred galaxies NGC 1530, NGC 3359 and NGC 6951. We find that more than a third of the HII region line profiles in each galaxy show these components. The highest fraction is obtained in the galaxy whose line profiles show the best S:N, which suggests that wing features of this type may well exist in most, if not all, HII region line profiles. Applying selection criteria to the wing features, we obtain a sample of HII regions with clearly defined high velocity components in their profiles. Deconvolution of a representative sample of the line profiles eliminates any doubt that the wing features could possibly be due to instrumental effects. We present an analysis of the high velocity low intensity features fitting them with Gaussian functions; the emission measures, central velocities and velocity dispersions for the red and blue features take similar values. We interpret the features as signatures of expanding shells inside the HII regions. Up to a shell radius of R(shell)~0.2R(reg), the stellar winds from the central ionizing stars appear to satisfy the energy and momentum requirements for the formation and driving the shell. Several examples of the most luminous HII regions show that the shells appear to have larger radii; in these cases additional mechanisms may well be needed to explain the kinetic energies and momenta of the shells.

  6. Middle Rio Grande Region Transportation Plan 

    E-Print Network [OSTI]

    Community Council of Southwest Texas, Inc.

    2006-12-01

    with the low education levels in the area. Only fifty-four percent (54%) of the adult population (25+) completed twelve or more years of formal education. Less than 8% of the region?s population has a college degree, and 3.6% have graduate or professional...,780 Communications and Utilities 510 Wholesale Trade 9,390 Retail Trade 7,990 Finance, Insurance, and Real Estate 1,270 Services 18,300 Government 6,450 9 Employment and Business 2000 Census % 2004 Estimate % Age 16+ population 108,693 115...

  7. Southwest Regional Partnership on Carbon Sequestration

    SciTech Connect (OSTI)

    Brian McPherson

    2006-03-31

    The Southwest Partnership on Carbon Sequestration completed its Phase I program in December 2005. The main objective of the Southwest Partnership Phase I project was to evaluate and demonstrate the means for achieving an 18% reduction in carbon intensity by 2012. Many other goals were accomplished on the way to this objective, including (1) analysis of CO{sub 2} storage options in the region, including characterization of storage capacities and transportation options, (2) analysis and summary of CO{sub 2} sources, (3) analysis and summary of CO{sub 2} separation and capture technologies employed in the region, (4) evaluation and ranking of the most appropriate sequestration technologies for capture and storage of CO{sub 2} in the Southwest Region, (5) dissemination of existing regulatory/permitting requirements, and (6) assessing and initiating public knowledge and acceptance of possible sequestration approaches. Results of the Southwest Partnership's Phase I evaluation suggested that the most convenient and practical ''first opportunities'' for sequestration would lie along existing CO{sub 2} pipelines in the region. Action plans for six Phase II validation tests in the region were developed, with a portfolio that includes four geologic pilot tests distributed among Utah, New Mexico, and Texas. The Partnership will also conduct a regional terrestrial sequestration pilot program focusing on improved terrestrial MMV methods and reporting approaches specific for the Southwest region. The sixth and final validation test consists of a local-scale terrestrial pilot involving restoration of riparian lands for sequestration purposes. The validation test will use desalinated waters produced from one of the geologic pilot tests. The Southwest Regional Partnership comprises a large, diverse group of expert organizations and individuals specializing in carbon sequestration science and engineering, as well as public policy and outreach. These partners include 21 state government agencies and universities, five major electric utility companies, seven oil, gas and coal companies, three federal agencies, the Navajo Nation, several NGOs, and the Western Governors Association. This group is continuing its work in the Phase II Validation Program, slated to conclude in 2009.

  8. Clean Energy Manufacturing Initiative Southeast Regional Summit

    Broader source: Energy.gov [DOE]

    Registration is now open for the Clean Energy Manufacturing Initiative’s (CEMI) Southeast Regional Summit! The all-day conference, hosted by the U.S. Department of Energy (DOE), will take place on July 9 in Atlanta, Georgia, at the Renaissance Atlanta Midtown Hotel. The Southeast Regional Summit will bring together leaders from industry, academia, and government to focus on competitiveness and innovation in clean energy manufacturing throughout the southeastern United States. The Summit is the third in a series organized around the country, and will convene key stakeholders to:

  9. EIA - Natural Gas Pipeline System - Midwest Region

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963 1.969Central Region About U.S. Natural Gas Pipelines -Midwest Region

  10. EIA - Natural Gas Pipeline System - Southwest Region

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963 1.969Central Region About U.S. Natural Gas PipelinesSouthwest Region

  11. Regional math teacher wins presidential award

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration wouldMassR&D100 Winners * ImpactsandRegarding ConfinementRegional PartnershipsMethodRegional

  12. Regional Interagency Steering GIS Sub-Committee for FEMA's Region II Caribbean Area Division

    E-Print Network [OSTI]

    Gilbes, Fernando

    Regional Interagency Steering GIS Sub-Committee for FEMA's Region II Caribbean Area Division Jimmy Committee (RISC) consists of an interagency group where GIS users from State, Federal and Educational and download GIS data shared by participants. This effort stems from past experiences where GIS data needed

  13. Regional assessment of aquifers for thermal-energy storage. Volume 2. Regions 7 through 12

    SciTech Connect (OSTI)

    Not Available

    1981-06-01

    This volume contains information on the geologic and hydrologic framework, major aquifers, aquifers which are suitable and unsuitable for annual thermal energy storage (ATES) and the ATES potential of the following regions of the US: Unglaciated Central Region; Glaciated Appalachians, Unglaciated Appalachians; Coastal Plain; Hawaii; and Alaska. (LCL)

  14. Northwest Regional Technology Center, May 2014 Page 1 of 2 Around The Region In Homeland Security

    E-Print Network [OSTI]

    Security (DHS) Domestic Nuclear Detection Office (DNDO), recently visited PNNL. The goals of the trip wereNorthwest Regional Technology Center, May 2014 Page 1 of 2 Around The Region In Homeland Security, and recovery. The center enables homeland security solutions for emergency responder communities and federal

  15. Toledo Regional Economic PlanToledo Regional Economic Plan Transportation and LogisticsTransportation and Logistics

    E-Print Network [OSTI]

    Azad, Abdul-Majeed

    Toledo Regional Economic PlanToledo Regional Economic Plan Transportation and LogisticsTransportation and Logistics Industry SectorIndustry Sector Submitted by:Submitted by: Transportation and Logistics Working GroupTransportation and Logistics Working Group September 2009September 2009 #12;22 Transportation

  16. National Marine Fisheries ServiceNational Marine Fisheries Service Southeast RegionSoutheast Region

    E-Print Network [OSTI]

    National Marine Fisheries ServiceNational Marine Fisheries Service Southeast RegionSoutheast Region-340-773-5774 Puerto Rico: 1-787-399-8432 Report Harassment of Marine Mammals to NMFS Enforcement at: 1-800-863-1964 How Can I Get More Involved in the Southeast Marine Mammal Stranding Network? Anyone can volunteer

  17. STUDENT MANUAL SCHOOL OF CITY AND REGIONAL PLANNING

    E-Print Network [OSTI]

    Li, Mo

    STUDENT MANUAL SCHOOL OF CITY AND REGIONAL PLANNING COLLEGE OF ARCHITECTURE GEORGIA INSTITUTE OF TECHNOLOGY MASTER OF CITY AND REGIONAL PLANNING ........................................................................................... 1 III. CITY AND REGIONAL PLANNING FACULTY AND STAFF, 20132014

  18. NEW IMAGE RETRIEVAL PARADIGM : LOGICAL COMPOSITION OF REGION CATEGORIES

    E-Print Network [OSTI]

    Fauqueur, Julien

    the "photometric region thesaurus" of the image database. Logical composition of region categories expresses be viewed as a "photometric region thesaurus". Images are simply indexed by the list of category labels and

  19. Region Streams: Functional Macroprogramming for Sensor Networks

    E-Print Network [OSTI]

    of computational power, communication bandwidth, and energy de- mand new approaches to programming that shield the developer from low-level details of resource management, concurrency, and in-network pro- cessing. We argue. The essential data model in Regiment is based on region streams, which represent spatially distributed, time

  20. Root region airfoil for wind turbine

    DOE Patents [OSTI]

    Tangler, James L. (Boulder, CO); Somers, Dan M. (State College, PA)

    1995-01-01

    A thick airfoil for the root region of the blade of a wind turbine. The airfoil has a thickness in a range from 24%-26% and a Reynolds number in a range from 1,000,000 to 1,800,000. The airfoil has a maximum lift coefficient of 1.4-1.6 that has minimum sensitivity to roughness effects.

  1. CHAPTER FOUR Global and African Regional Climate

    E-Print Network [OSTI]

    deMenocal, Peter B.

    45 CHAPTER FOUR Global and African Regional Climate during the Cenozoic SARAH J. FEAKINS AND PETER by significant climate change. Major global changes included massive tectonic reorganization, a reduction in atmospheric pCO2 (Pagani et al., 1999; Pearson and Palmer, 2000), and a dramatic cooling of global climate

  2. Magnetic Landscape of Sun's Polar Region

    E-Print Network [OSTI]

    S. Tsuneta; K. Ichimoto; Y. Katsukawa; B. W. Lites; K. Matsuzaki; S. Nagata; D. Orozco Suarez; T. Shimizu; M. Shimojo; R. A. Shine; Y. Suematsu; T. K. Suzuki; T. D. Tarbell; A. M. Title

    2008-08-08

    We present the magnetic landscape of the polar region of the Sun that is unprecedented in terms of high spatial resolution, large field of view, and polarimetric precision. These observations were carried out with the Solar Optical Telescope aboard \\emph{Hinode}. Using a Milne-Eddington inversion, we found many vertically-oriented magnetic flux tubes with field strength as strong as 1 kG that are scattered in latitude between 70-90 degree. They all have the same polarity, consistent with the global polarity of the polar region. The field vectors were observed to diverge from the center of the flux elements, consistent with a view of magnetic fields that expand and fan out with height. The polar region is also covered with ubiquitous horizontal fields. The polar regions are the source of the fast solar wind channelled along unipolar coronal magnetic fields whose photospheric source is evidently rooted in the strong field, vertical patches of flux. We conjecture that vertical flux tubes with large expansion around the photosphere-corona boundary serve as efficient chimneys for Alfven waves that accelerate the solar wind.

  3. Compilationof Regional to Global Inventoriesof Anthropogenic Emissions

    E-Print Network [OSTI]

    Compilationof Regional to Global Inventoriesof Anthropogenic Emissions CarmenM. Benkovitz, Hajime inventories of emissions of the trace species included in the study at the appropriate sectoral, spatial on emissions is also required at high resolution for the design of policies aimed at reducing emissions

  4. Regional Climate Downscaling Intercomparison over the Philippines

    E-Print Network [OSTI]

    Qian, Jian-Hua "Joshua"

    Regional Climate Downscaling Intercomparison over the Philippines J.H. Qian, A.W. Robertson, M: PAGASA, the Philippines #12;#12;#12;#12;Analysis of r a i n f a l l fluctuations in the Philippines 237 Figure 1 Climatological map (after "Philippines Water Resources", 1976). Vigan, Legaspi, Zamboanga

  5. Regional Service Planning for the Coastal Bend 

    E-Print Network [OSTI]

    Coastal Bend Council of Governments

    2006-12-01

    -Type text/plain; charset=ISO-8859-1 ?R?E?G?I?O?N?A?L? ?S?E?R?V?I?C?E? ?P?L?A?N?N?I?N?G ?F?O?R? ?T?H?E? ?C?O?A?S?T?A?L? ?B?E?N?D ?R?e?g?i?o?n?a?l? ?P?u?b?l?i?c? ?T?r?a?n?s?p?o?r?t?a?t?i?o?n ?C?o?o?r?d?i?n?a?t?i?o?n? ?S?t?u?d?y ?w...?w?w?.?r?e?g?i?o?n?a?l?s?e?r?v?i?c?e?p?l?a?n?n?i?n?g?.?o?r?g ?D?e?c?e?m?b?e?r? ?1?,? ?2?0?0?6 Regional Service Planning for the Coastal Bend Regional Public Transportation Coordination Study This study was funded by financial grant from the Texas...

  6. PA Regional Nanotechnology Conference Nanotechnology for Industry

    E-Print Network [OSTI]

    Gilchrist, James F.

    4/19/2011 Present PA Regional Nanotechnology Conference Nanotechnology for Industry May 31, 2011 9 _____________________________________________________________ _____________The field of nanotechnology continues to be one of the leading forces behind our nation's ability to develop, commercialize, and produce advancements that are enabled by nanotechnology. Therefore, Drexel

  7. Passive Scalar Evolution in Peripheral Region

    E-Print Network [OSTI]

    Fominov, Yakov

    Passive Scalar Evolution in Peripheral Region V. V. Lebedev Landau Institute for Theoretical investigate the passive scalar (concentration of pollutants or temperature) evolution in the random (turbulent stages of the passive scalar homogenization (decay). There are some peculiarities of the decay related

  8. Geology of the Shenandoah National Park Region

    E-Print Network [OSTI]

    Eaton, L. Scott

    1 Geology of the Shenandoah National Park Region 39th Annual Virginia Geological Field Conference October 2nd - 3rd, 2009 Scott Southworth U. S. Geological Survey L. Scott Eaton James Madison University Meghan H. Lamoreaux College of William & Mary William C. Burton U. S. Geological Survey Christopher M

  9. Patentanwlte in der Region Aachen Bauer, Dirk

    E-Print Network [OSTI]

    Rheinisch-Westfälische Technische Hochschule Aachen (RWTH)

    Patentanwälte in der Region Aachen Bauer, Dirk Patent- und Rechtsanwälte Bauer, Wagner, Priesmeyer, Klaus Dr. Patentanwälte Potthast & Spengler Auf der Rur, 52459 Inden Tel.: (02465) 86 29 144, mail@kleinespatent.de Busse, Frank Patent- und Rechtsanwälte Bauer, Wagner, Priesmeyer Grüner Weg 1, 52070 Aachen Tel.: (0241

  10. Regional Technical Forum AND 2015 PROGRESS UPDATE

    E-Print Network [OSTI]

    is a leader in developing energy efficiency as a resource. Remarkably, it's now our second largest resource, determined that energy efficiency would be the resource of first choice, we were embarking on a new course FORUM Energy efficiency is major resource in the region's energy portfolio. Since 1980, over

  11. INVESTIGATION OF BULK POWER NORTHEAST REGION

    E-Print Network [OSTI]

    Laughlin, Robert B.

    INVESTIGATION OF BULK POWER MARKETS NORTHEAST REGION November 1, 2000 The analyses and conclusions Activities and Retail Competition . . . . . . . . . . . . . . . . . . 1-49 5. Prices, Market Design . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1-13 A. Overview of Product Markets, Market Design and Pricing Rules . . . . . . . 1-15 1. Energy

  12. Interaction Region Issues at the NLC

    SciTech Connect (OSTI)

    Markiewicz, Thomas W.; Maruyama, T.; /SLAC

    2007-09-26

    Two detector concepts are being investigated for the Next Linear Collider. This paper discusses the current design of the interaction region for one of them, based on a 6 Tesla solenoid and silicon based tracking. Topics include masking layout, backgrounds and the suppression of final quadrupole jitter. All calculations are based on the 1 TeV design parameters.

  13. Southeast Regional Clean Energy Policy Analysis

    SciTech Connect (OSTI)

    McLaren, Joyce

    2011-04-01

    More than half of the electricity produced in the southeastern states is fuelled by coal. Although the region produces some coal, most of the states depend heavily on coal imports. Many of the region's aging coal power facilities are planned for retirement within the next 20 years. However, estimates indicate that a 20% increase in capacity is needed over that time to meet the rapidly growing demand. The most common incentives for energy efficiency in the Southeast are loans and rebates; however, total public spending on energy efficiency is limited. The most common state-level policies to support renewable energy development are personal and corporate tax incentives and loans. The region produced 1.8% of the electricity from renewable resources other than conventional hydroelectricity in 2009, half of the national average. There is significant potential for development of a biomass market in the region, as well as use of local wind, solar, methane-to-energy, small hydro, and combined heat and power resources. Options are offered for expanding and strengthening state-level policies such as decoupling, integrated resource planning, building codes, net metering, and interconnection standards to support further clean energy development. Benefits would include energy security, job creation, insurance against price fluctuations, increased value of marginal lands, and local and global environmental paybacks.

  14. Southeast Regional Clean Energy Policy Analysis (Revised)

    SciTech Connect (OSTI)

    McLaren, J.

    2011-04-01

    More than half of the electricity produced in the southeastern states is fuelled by coal. Although the region produces some coal, most of the states depend heavily on coal imports. Many of the region's aging coal power facilities are planned for retirement within the next 20 years. However, estimates indicate that a 20% increase in capacity is needed over that time to meet the rapidly growing demand. The most common incentives for energy efficiency in the Southeast are loans and rebates; however, total public spending on energy efficiency is limited. The most common state-level policies to support renewable energy development are personal and corporate tax incentives and loans. The region produced 1.8% of the electricity from renewable resources other than conventional hydroelectricity in 2009, half of the national average. There is significant potential for development of a biomass market in the region, as well as use of local wind, solar, methane-to-energy, small hydro, and combined heat and power resources. Options are offered for expanding and strengthening state-level policies such as decoupling, integrated resource planning, building codes, net metering, and interconnection standards to support further clean energy development. Benefits would include energy security, job creation, insurance against price fluctuations, increased value of marginal lands, and local and global environmental paybacks.

  15. Quasar H II Regions During Cosmic Reionization

    E-Print Network [OSTI]

    Marcelo A. Alvarez; Tom Abel

    2007-09-10

    Cosmic reionization progresses as HII regions form around sources of ionizing radiation. Their average size grows continuously until they percolate and complete reionization. We demonstrate how this typical growth can be calculated around the largest, biased sources of UV emission, such as quasars, by further developing an analytical model based on the excursion set formalism. This approach allows us to calculate the sizes and growth of the HII regions created by the progenitors of any dark matter halo of given mass and redshift with a minimum of free parameters. Statistical variations in the size of these pre-existing HII regions are an additional source of uncertainty in the determination of very high redshift quasar properties from their observed HII region sizes. We use this model to demonstrate that the transmission gaps seen in very high redshift quasars can be understood from the radiation of only their progenitors and associated clustered small galaxies. The fit sets a lower limit on the redshift of overlap at z = 5.8 +/- 0.1. This interpretation makes the transmission gaps independent of the age of the quasars observed. If this interpretation were correct it would raise the prospects of using radio interferometers currently under construction to detect the epoch of reionization.

  16. Geography & Regional Development Speaker Series Spring 2008

    E-Print Network [OSTI]

    Wright, Dawn Jeannine

    Geography & Regional Development Speaker Series Spring 2008 January 18th - Leila Harris (University', and geographies of environmental politics January 25th - Jenny Lee (University of Arizona) Departmental climate and student experiences in graduate geography programs February 1st - Deborah Thien (California State - Long

  17. Regional Focus on GM Crop Regulation

    E-Print Network [OSTI]

    Church, George M.

    Regional Focus on GM Crop Regulation THE RECENT MEDIA COVERAGE OF THE DEVEL- opments in Brazil for com- mercial genetically modified (GM) crops in both the scientific and regulatory arena. The release of GM crops in these coun- tries might result in the unintentional entry of GM seeds into neighboring

  18. Southeast Regional Carbon Sequestration Partnership (SECARB)

    SciTech Connect (OSTI)

    Kenneth J. Nemeth

    2005-09-30

    The Southeast Regional Carbon Sequestration Partnership (SECARB) is a diverse partnership covering eleven states involving the Southern States Energy Board (SSEB) an interstate compact; regulatory agencies and/or geological surveys from member states; the Electric Power Research Institute (EPRI); academic institutions; a Native American enterprise; and multiple entities from the private sector. Figure 1 shows the team structure for the partnership. In addition to the Technical Team, the Technology Coalition, an alliance of auxiliary participants, in the project lends yet more strength and support to the project. The Technology Coalition, with its diverse representation of various sectors, is integral to the technical information transfer, outreach, and public perception activities of the partnership. The Technology Coalition members, shown in Figure 2, also provide a breadth of knowledge and capabilities in the multiplicity of technologies needed to assure a successful outcome to the project and serve as an extremely important asset to the partnership. The eleven states comprising the multi-state region are: Alabama; Arkansas; Florida; Georgia; Louisiana; Mississippi; North Carolina; South Carolina; Tennessee; Texas; and Virginia. The states making up the SECARB area are illustrated in Figure 3. The primary objectives of the SECARB project include: (1) Supporting the U.S. Department of Energy (DOE) Carbon Sequestration Program by promoting the development of a framework and infrastructure necessary for the validation and deployment of carbon sequestration technologies. This requires the development of relevant data to reduce the uncertainties and risks that are barriers to sequestration, especially for geologic storage in the SECARB region. Information and knowledge are the keys to establishing a regional carbon dioxide (CO{sub 2}) storage industry with public acceptance. (2) Supporting the President's Global Climate Change Initiative with the goal of reducing greenhouse gas intensity by 18 percent by 2012. A corollary to the first objective, this objective requires the development of a broad awareness across government, industry, and the general public of sequestration issues and establishment of the technological and legal frameworks necessary to achieve the President's goal. The information developed by the SECARB team will play a vital role in achieving the President's goal for the southeastern region of the United States. (3) Evaluating options and potential opportunities for regional CO{sub 2} sequestration. This requires characterization of the region regarding the presence and location of sources of greenhouse gases (GHGs), primarily CO{sub 2}, the presence and location of potential carbon sinks and geological parameters, geographical features and environmental concerns, demographics, state and interstate regulations, and existing infrastructure.

  19. SOUTHEAST REGIONAL CARBON SEQUESTRATION PARTNERSHIP (SECARB)

    SciTech Connect (OSTI)

    Kenneth J. Nemeth

    2004-09-01

    The Southeast Regional Carbon Sequestration Partnership (SECARB) is on schedule and within budget projections for the work completed during the first year of its two year program. Work during the semiannual period (third and fourth quarter) of the project (April 1--September 30, 2004) was conducted within a ''Task Responsibility Matrix.'' Under Task 1.0 Define Geographic Boundaries of the Region, Texas and Virginia were added during the second quarter of the project and no geographical changes occurred during the third or fourth quarter of the project. Under Task 2.0 Characterize the Region, general mapping and screening of sources and sinks has been completed, with integration and Geographical Information System (GIS) mapping ongoing. The first step focused on the macro level characterization of the region. Subsequent characterization will focus on smaller areas having high sequestration potential. Under Task 3.0 Identify and Address Issues for Technology Deployment, SECARB has completed a preliminary assessment of safety, regulatory, permitting, and accounting frameworks within the region to allow for wide-scale deployment of promising terrestrial and geologic sequestration approaches. Under Task 4.0 Develop Public Involvement and Education Mechanisms, SECARB has conducted a survey and focus group meeting to gain insight into approaches that will be taken to educate and involve the public. Task 5.0 and 6.0 will be implemented beginning October 1, 2004. Under Task 5.0 Identify the Most Promising Capture, Sequestration, and Transport Options, SECARB will evaluate findings from work performed during the first year and shift the focus of the project team from region-wide mapping and characterization to a more detailed screening approach designed to identify the most promising opportunities. Under Task 6.0 Prepare Action Plans for Implementation and Technology Validation Activity, the SECARB team will develop an integrated approach to implementing and setting up measurement, monitoring and verification (MMV) programs for the most promising opportunities. During this semiannual period special attention was provided to Texas and Virginia, which were added to the SECARB region, to ensure a smooth integration of activities with the other 9 states. Milestones completed and submitted during the third and fourth quarter included: Q3-FY04--Complete initial development of plans for GIS; and Q4-FYO4--Complete preliminary action plan and assessment for overcoming public perception issues.

  20. SOUTHEAST REGIONAL CARBON SEQUESTRATION PARTNERSHP (SECARB)

    SciTech Connect (OSTI)

    Kenneth J. Nemeth

    2005-04-01

    The Southeast Regional Carbon Sequestration Partnership (SECARB) is on schedule and within budget projections for the work completed during the first 18-months of its two year program. Work during the semiannual period (fifth and sixth project quarters) of the project (October 1, 2004-March 31, 2005) was conducted within a ''Task Responsibility Matrix.'' Under Task 1.0 Define Geographic Boundaries of the Region, no changes occurred during the fifth or sixth quarters of the project. Under Task 2.0 Characterize the Region, refinements have been made to the general mapping and screening of sources and sinks. Integration and geographical information systems (GIS) mapping is ongoing. Characterization during this period was focused on smaller areas having high sequestration potential. Under Task 3.0 Identify and Address Issues for Technology Deployment, SECARB continues to expand upon its assessment of safety, regulatory, permitting, and accounting frameworks within the region to allow for wide-scale deployment of promising terrestrial and geologic sequestration approaches. Under Task 4.0 Develop Public Involvement and Education Mechanisms, SECARB has used results of a survey and focus group meeting to refine approaches that are being taken to educate and involve the public. Under Task 5.0 Identify the Most Promising Capture, Sequestration, and Transport Options, SECARB has evaluated findings from work performed during the first 18-months. The focus of the project team has shifted from region-wide mapping and characterization to a more detailed screening approach designed to identify the most promising opportunities. Under Task 6.0 Prepare Action Plans for Implementation and Technology Validation Activity, the SECARB team is developing an integrated approach to implementing the most promising opportunities and in setting up measurement, monitoring and verification (MMV) programs for the most promising opportunities. Milestones completed during the fifth and sixth project quarters included: (1) Q1-FY05--Assess safety, regulatory and permitting issues; and (2) Q2-FY05--Finalize inventory of major sources/sinks and refine GIS algorithms.

  1. Geographic Information System At Northern Basin & Range Region...

    Open Energy Info (EERE)

    Location Northern Basin and Range Geothermal Region Exploration Technique Geographic Information System Activity Date Usefulness useful regional reconnaissance DOE-funding Unknown...

  2. Cooling Boiling in Head Region - PACCAR Integrated Underhood...

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

    Cooling Boiling in Head Region - PACCAR Integrated Underhood Thermal and External Aerodynamics- Cummins Cooling Boiling in Head Region - PACCAR Integrated Underhood Thermal and...

  3. May 29 Tribal Renewable Energy Webinar to Highlight Regional...

    Energy Savers [EERE]

    May 29 Tribal Renewable Energy Webinar to Highlight Regional Transmission Planning Efforts May 29 Tribal Renewable Energy Webinar to Highlight Regional Transmission Planning...

  4. Jefferson Lab hosts 19 schools for Virginia Regional High School...

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

    Feb. 10, to compete in the Virginia Regional High School Science Bowl. Nineteen teams, representing high schools from across the region are participating in this year's...

  5. ECOWAS Regional Centre for Renewable Energy and Energy Efficiency...

    Open Energy Info (EERE)

    ECOWAS Regional Centre for Renewable Energy and Energy Efficiency (ECREEE) (Redirected from West African Regional Centre for Renewable Energy and Energy Efficiency (ECREEE)) Jump...

  6. Refraction Survey At Walker-Lane Transitional Zone Region (Heimgartner...

    Open Energy Info (EERE)

    Walker-Lane Transitional Zone Region (Heimgartner, Et Al., 2005) Exploration Activity Details Location Walker-Lane Transition Zone Geothermal Region Exploration Technique...

  7. Geodetic Survey At Walker-Lane Transitional Zone Region (Blewitt...

    Open Energy Info (EERE)

    Geodetic Survey At Walker-Lane Transitional Zone Region (Blewitt Et Al, 2005) Exploration Activity Details Location Walker-Lane Transition Zone Geothermal Region Exploration...

  8. Field Mapping At Walker-Lane Transitional Zone Region (Blewitt...

    Open Energy Info (EERE)

    Walker-Lane Transitional Zone Region (Blewitt Et Al, 2005) Exploration Activity Details Location Walker-Lane Transition Zone Geothermal Region Exploration Technique Field Mapping...

  9. Compound and Elemental Analysis At Northern Basin & Range Region...

    Open Energy Info (EERE)

    Compound and Elemental Analysis At Northern Basin & Range Region (Laney, 2005) Exploration Activity Details Location Northern Basin and Range Geothermal Region Exploration...

  10. regional clean energy application centers | netl.doe.gov

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

    (DOE's) Regional Clean Energy Application Centers (CEACs), formerly called the Combined Heat and Power (CHP) Regional Application Centers (RACs), promote and assist in transforming...

  11. Wind energy resources atlas. Volume 1. Northwest region

    SciTech Connect (OSTI)

    Elliott, D.L.; Barchet, W.R.

    1980-04-01

    Information is presented concering regional wind energy resource assessment; regional features; and state features for Idaho, Montana, Oregon, Washington, and Wyoming.

  12. Documnet for Hydrogen State and Regional Workshop, March 30,...

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

    Documnet for Hydrogen State and Regional Workshop, March 30, 2008, Sacramento, CA Documnet for Hydrogen State and Regional Workshop, March 30, 2008, Sacramento, CA Consumer Trends...

  13. KAir Battery Wins Southwest Regional Clean Energy Business Plan...

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

    KAir Battery Wins Southwest Regional Clean Energy Business Plan Competition KAir Battery Wins Southwest Regional Clean Energy Business Plan Competition April 18, 2014 - 12:05pm...

  14. Saint Kitts and Nevis-Regional Implementation Plan for CARICOM...

    Open Energy Info (EERE)

    Saint Kitts and Nevis-Regional Implementation Plan for CARICOM's Climate Change Resilience Framework Jump to: navigation, search Name Saint Kitts and Nevis-Regional Implementation...

  15. Regional Variation in Residential Heat Pump Water Heater Performance...

    Energy Savers [EERE]

    Regional Variation in Residential Heat Pump Water Heater Performance in the United States Regional Variation in Residential Heat Pump Water Heater Performance in the United States...

  16. National Clean Energy Business Plan Competition: Six Regional...

    Office of Environmental Management (EM)

    of KAir Battery Southeastern Region Winner 2 of 5 Southeastern Region Winner Energy Internet won the ACC Clean Energy Challenge for its software system that addresses cyber and...

  17. Regional Study to Guide Policy Interventions for Enhancing the...

    Open Energy Info (EERE)

    Regional Study to Guide Policy Interventions for Enhancing the Development and Transfer of Publicly-Funded Environmentally Sound Technologies in Asia and the Pacific Region Jump...

  18. Climate Action Champions: Sonoma County Regional Climate Protection...

    Energy Savers [EERE]

    Sonoma County Regional Climate Protection Authority, CA Climate Action Champions: Sonoma County Regional Climate Protection Authority, CA In 2005, nine cities and the County of...

  19. Alaska Facility- and Community-Scale Project Development Regional...

    Office of Environmental Management (EM)

    Facility- and Community-Scale Project Development Regional Energy Workshops Alaska Facility- and Community-Scale Project Development Regional Energy Workshops April 13, 2015 -...

  20. Thermal Gradient Holes At Walker-Lane Transitional Zone Region...

    Open Energy Info (EERE)

    Zone Region (Pritchett, 2004) Exploration Activity Details Location Walker-Lane Transition Zone Geothermal Region Exploration Technique Thermal Gradient Holes Activity Date...

  1. Large Higgs energy region in Higgs associated top pair production...

    Office of Scientific and Technical Information (OSTI)

    Large Higgs energy region in Higgs associated top pair production at the Linear Collider Citation Details In-Document Search Title: Large Higgs energy region in Higgs associated...

  2. The Midwest Regional Carbon Sequestration Partnership (MRCSP)

    SciTech Connect (OSTI)

    James J. Dooley; Robert Dahowski; Casie Davidson

    2005-12-01

    This final report summarizes the Phase I research conducted by the Midwest regional Carbon Sequestration Partnership (MRCSP). The Phase I effort began in October 2003 and the project period ended on September 31, 2005. The MRCSP is a public/private partnership led by Battelle with the mission of identifying the technical, economic, and social issues associated with implementation of carbon sequestration technologies in its seven state geographic region (Indiana, Kentucky, Maryland, Michigan, Ohio, Pennsylvania, and West Virginia) and identifying viable pathways for their deployment. It is one of seven partnerships that together span most of the U.S. and parts of Canada that comprise the U.S. Department of Energy's (DOE's) Regional Carbon Sequestration Program led by DOE's national Energy Technology Laboratory (NETL). The MRCSP Phase I research was carried out under DOE Cooperative Agreement No. DE-FC26-03NT41981. The total value of Phase I was $3,513,513 of which the DOE share was $2,410,967 or 68.62%. The remainder of the cost share was provided in varying amounts by the rest of the 38 members of MRCSP's Phase I project. The next largest cost sharing participant to DOE in Phase I was the Ohio Coal Development Office within the Ohio Air Quality Development Authority (OCDO). OCDO's contribution was $100,000 and was contributed under Grant Agreement No. CDO/D-02-17. In this report, the MRCSP's research shows that the seven state MRCSP region is a major contributor to the U. S. economy and also to total emissions of CO2, the most significant of the greenhouse gases thought to contribute to global climate change. But, the research has also shown that the region has substantial resources for sequestering carbon, both in deep geological reservoirs (geological sequestration) and through improved agricultural and land management practices (terrestrial sequestration). Geological reservoirs, especially deep saline reservoirs, offer the potential to permanently store CO2 for literally 100s of years even if all the CO2 emissions from the region's large point sources were stored there, an unlikely scenario under any set of national carbon emission mitigation strategies. The terrestrial sequestration opportunities in the region have the biophysical potential to sequester up to 20% of annual emissions from the region's large point sources of CO2. This report describes the assumptions made and methods employed to arrive at the results leading to these conclusions. It also describes the results of analyses of regulatory issues in the region affecting the potential for deployment of sequestration technologies. Finally, it describes the public outreach and education efforts carried out in Phase I including the creation of a web site dedicated to the MRCSP at www.mrcsp.org.

  3. Regional partnerships lead US carbon sequestration efforts

    SciTech Connect (OSTI)

    NONE

    2007-07-01

    During the sixth annual conference on carbon capture and sequestration, 7-10 May 2007, a snapshot was given of progress on characterization efforts and field validation tests being carried out through the Carbon Sequestration Regional Partnership Initiative. The initiative is built on the recognition that geographical differences in fossil fuel/energy use and CO{sub 2} storage sinks across North America will dictate approaches to carbon sequestration. The first characterization phase (2003-2005) identified regional opportunities and developed frameworks to validate and deploy technologies. The validation phase (2005-2009) includes 10 enhanced oil recovery/enhanced gas recovery field tests in progress in Alberta and six US states and is applying lessons learned from these operations to sequestration in unmineable coal seams. Storage in saline formations are the focus of 10 field tests, and terrestrial sequestration will be studied in 11 other projects. 1 tab., 3 photos.

  4. WEST COAST REGIONAL CARBON SEQUESTRATION PARTNERSHIP

    SciTech Connect (OSTI)

    Larry Myer; Terry Surles; Kelly Birkinshaw

    2004-01-01

    The West Coast Regional Carbon Sequestration Partnership is one of seven partnerships which have been established by the US Department of Energy (DOE) to evaluate carbon dioxide capture, transport and sequestration (CT&S) technologies best suited for different regions of the country. The West Coast Region comprises Arizona, California, Nevada, Oregon, Washington, and the North Slope of Alaska. Led by the California Energy Commission, the West Coast Partnership is a consortium of over thirty five organizations, including state natural resource and environmental protection agencies; national labs and universities; private companies working on CO{sub 2} capture, transportation, and storage technologies; utilities; oil and gas companies; nonprofit organizations; and policy/governance coordinating organizations. In an eighteen month Phase I project, the Partnership will evaluate both terrestrial and geologic sequestration options. Work will focus on five major objectives: (1) Collect data to characterize major CO{sub 2} point sources, the transportation options, and the terrestrial and geologic sinks in the region, and compile and organize this data via a geographic information system (GIS) database; (2) Address key issues affecting deployment of CT&S technologies, including storage site permitting and monitoring, injection regulations, and health and environmental risks (3) Conduct public outreach and maintain an open dialogue with stakeholders in CT&S technologies through public meetings, joint research, and education work (4) Integrate and analyze data and information from the above tasks in order to develop supply curves and cost effective, environmentally acceptable sequestration options, both near- and long-term (5) Identify appropriate terrestrial and geologic demonstration projects consistent with the options defined above, and create action plans for their safe and effective implementation A kickoff meeting for the West Coast Partnership was held on Sept 30-Oct.1. Contracts were then put into place with twelve organizations which will carry out the technical work required to meet Partnership objectives.

  5. Root region airfoil for wind turbine

    DOE Patents [OSTI]

    Tangler, J.L.; Somers, D.M.

    1995-05-23

    A thick airfoil is described for the root region of the blade of a wind turbine. The airfoil has a thickness in a range from 24%--26% and a Reynolds number in a range from 1,000,000 to 1,800,000. The airfoil has a maximum lift coefficient of 1.4--1.6 that has minimum sensitivity to roughness effects. 3 Figs.

  6. Assistance Focus: Asia/Pacific Region (Brochure)

    SciTech Connect (OSTI)

    Not Available

    2015-01-01

    The Clean Energy Solutions Center Ask an Expert service connects governments seeking policy information and advice with one of more than 30 global policy experts who can provide reliable and unbiased quick-response advice and information. The service is available at no cost to government agency representatives from any country and the technical institutes assisting them. This publication presents summaries of assistance provided to governments in the Asia/Pacific region, including the benefits of that assistance.

  7. Fayans functional for deformed nuclei. Uranium region

    E-Print Network [OSTI]

    S. V. Tolokonnikov; I. N. Borzov; M. Kortelainen; Yu. S. Lutostansky; E. E. Saperstein

    2015-08-03

    Fayans energy density functional (EDF) FaNDF^0 has been applied to the nuclei around uranium region. Ground state characteristics of the Th, U and Pu isotopic chains, up to the two-neutron drip line, are found and compared with predictions from several Skyrme EDFs. The two-neutron drip line is found for FaNDF^0, SLy4 and SkM^* EDFs for a set of elements with even proton number, from Pb up to Fm.

  8. Fayans functional for deformed nuclei. Uranium region

    E-Print Network [OSTI]

    Tolokonnikov, S V; Kortelainen, M; Lutostansky, Yu S; Saperstein, E E

    2015-01-01

    Fayans energy density functional (EDF) FaNDF^0 has been applied to the nuclei around uranium region. Ground state characteristics of the Th, U and Pu isotopic chains, up to the two-neutron drip line, are found and compared with predictions from several Skyrme EDFs. The two-neutron drip line is found for FaNDF^0, SLy4 and SkM^* EDFs for a set of elements with even proton number, from Pb up to Fm.

  9. Regional Standards Enforcement | Department of Energy

    Energy Savers [EERE]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on DeliciousMathematicsEnergyInterested PartiesBuildingBudgetFinancial Opportunities »RefrigeratorSitingRegional

  10. Regional Energy Deployment System (ReEDS)

    SciTech Connect (OSTI)

    Short, W.; Sullivan, P.; Mai, T.; Mowers, M.; Uriarte, C.; Blair, N.; Heimiller, D.; Martinez, A.

    2011-12-01

    The Regional Energy Deployment System (ReEDS) is a deterministic optimization model of the deployment of electric power generation technologies and transmission infrastructure throughout the contiguous United States into the future. The model, developed by the National Renewable Energy Laboratory's Strategic Energy Analysis Center, is designed to analyze the critical energy issues in the electric sector, especially with respect to potential energy policies, such as clean energy and renewable energy standards or carbon restrictions. ReEDS provides a detailed treatment of electricity-generating and electrical storage technologies and specifically addresses a variety of issues related to renewable energy technologies, including accessibility and cost of transmission, regional quality of renewable resources, seasonal and diurnal generation profiles, variability of wind and solar power, and the influence of variability on the reliability of the electrical grid. ReEDS addresses these issues through a highly discretized regional structure, explicit statistical treatment of the variability in wind and solar output over time, and consideration of ancillary services' requirements and costs.

  11. Regional Effort to Deploy Clean Coal Technologies

    SciTech Connect (OSTI)

    Gerald Hill; Kenneth Nemeth; Gary Garrett; Kimberly Sams

    2009-01-31

    The Southern States Energy Board's (SSEB) 'Regional Effort to Deploy Clean Coal Technologies' program began on June 1, 2003, and was completed on January 31, 2009. The project proved beneficial in providing state decision-makers with information that assisted them in removing barriers or implementing incentives to deploy clean coal technologies. This was accomplished through two specific tasks: (1) domestic energy security and diversity; and (2) the energy-water interface. Milestones accomplished during the project period are: (1) Presentations to Annual Meetings of SSEB Members, Associate Member Meetings, and the Gasification Technologies Council. (2) Energy: Water reports - (A) Regional Efforts to Deploy Clean Coal Technologies: Impacts and Implications for Water Supply and Quality. June 2004. (B) Energy-Water Interface Challenges: Coal Bed Methane and Mine Pool Water Characterization in the Southern States Region. 2004. (C) Freshwater Availability and Constraints on Thermoelectric Power Generation in the Southeast U.S. June 2008. (3) Blackwater Interactive Tabletop Exercise - Decatur, Georgia April 2007. (4) Blackwater Report: Blackwater: Energy and Water Interdependency Issues: Best Practices and Lessons Learned. August 2007. (5) Blackwater Report: BLACKWATER: Energy Water Interdependency Issues REPORT SUMMARY. April 2008.

  12. Physically Based Global Downscaling: Regional Evaluation

    SciTech Connect (OSTI)

    Ghan, Steven J.; Shippert, Timothy R.; Fox, Jared

    2006-02-01

    The climate simulated by a global atmosphere/land model with a physically-based subgrid orography scheme is evaluated in ten selected regions. Climate variables simulated for each of multiple elevation classes within each grid cell are mapped according the high-resolution distribution of surface elevation in each region. Comparison of the simulated annual mean climate with gridded observations leads to the following conclusions. At low to moderate elevations the downscaling scheme correctly simulates increasing precipitation, decreasing temperature, and increasing snow with increasing elevation within regions smaller than 100 km. At high elevations the downscaling scheme correctly simulates a decrease in precipitation with increasing elevation. Too little precipitation is simulated on the windward side of mountain ranges and too much precipitation is simulated on the lee side. The simulated sensitivity of surface air temperature to surface elevation is too strong, particularly in valleys influenced by drainage circulations. Observations show little evidence of a “snow shadow”, so the neglect of the subgrid rainshadow does not produce an unrealistic simulation of the snow distribution. Summertime snow area, which is a proxy for land ice, is much larger than observed. Summertime snow water equivalent is far less than the observed thickness of glaciers because a 1 m upper bound on snow water is applied to the simulations and because snow transport by slides is neglected. The 1 m upper bound on snow water equivalent also causes an underestimate of seasonal snow water during late winter, compared with gridded station measurements. Potential solutions to these problems are discussed.

  13. OBSERVING CORONAL NANOFLARES IN ACTIVE REGION MOSS

    SciTech Connect (OSTI)

    Testa, Paola; DeLuca, Ed; Golub, Leon; Korreck, Kelly; Weber, Mark; De Pontieu, Bart; Martinez-Sykora, Juan; Title, Alan; Hansteen, Viggo; Cirtain, Jonathan; Winebarger, Amy; Kobayashi, Ken; Kuzin, Sergey; Walsh, Robert; DeForest, Craig

    2013-06-10

    The High-resolution Coronal Imager (Hi-C) has provided Fe XII 193A images of the upper transition region moss at an unprecedented spatial ({approx}0.''3-0.''4) and temporal (5.5 s) resolution. The Hi-C observations show in some moss regions variability on timescales down to {approx}15 s, significantly shorter than the minute-scale variability typically found in previous observations of moss, therefore challenging the conclusion of moss being heated in a mostly steady manner. These rapid variability moss regions are located at the footpoints of bright hot coronal loops observed by the Solar Dynamics Observatory/Atmospheric Imaging Assembly in the 94 A channel, and by the Hinode/X-Ray Telescope. The configuration of these loops is highly dynamic, and suggestive of slipping reconnection. We interpret these events as signatures of heating events associated with reconnection occurring in the overlying hot coronal loops, i.e., coronal nanoflares. We estimate the order of magnitude of the energy in these events to be of at least a few 10{sup 23} erg, also supporting the nanoflare scenario. These Hi-C observations suggest that future observations at comparable high spatial and temporal resolution, with more extensive temperature coverage, are required to determine the exact characteristics of the heating mechanism(s).

  14. Future regional climate change in the ten hydrologic regions of California: A climate modeling investigation

    E-Print Network [OSTI]

    Sloan, Lisa C

    2005-01-01

    4) Central Coast; (5) Tulare Lake; (6) San Joaquin; (7) San4) Central Coast, (5) Tulare Lake, (6) San Joaquin River, (the smallest increase is in the Tulare Lake region. Median

  15. The logic of regionalism: a comparative study of regionalism in Europe and Asia 

    E-Print Network [OSTI]

    Kim, Mi-Kyung

    2005-02-17

    the balance between the state?s public power and the state?s market governability, consequently resulting in a political convergence toward a majoritarian political system based on individualism and delegative democracy. However, regionalism is realized...

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

    E-Print Network [OSTI]

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

    2003-01-01

    The Chimalapas region, in eastern Oaxaca, Mexico, holds lowland rainforests, tropical dry forests, and cloud forests typical of the Neotropics, as well as montane pine and pine-oak forests more typical of the Nearctic. ...

  17. Studying Transition Region Phenomena with Solar-B/EIS

    E-Print Network [OSTI]

    P. R. Young

    2007-08-13

    Transition region lines in active regions can become strongly enhanced in coronal footpoints and active region blinkers. The weak transition region lines found in the Solar-B/EIS wavebands will thus become useful for diagnostic studies of these events. EIS count rates predicted from SOHO/CDS spectra are presented, and a Mg VII density diagnostic is highlighted.

  18. Field Testing Protocol Atlantic and Gulf Coastal Plain Regional Supplement

    E-Print Network [OSTI]

    US Army Corps of Engineers

    Field Testing Protocol Atlantic and Gulf Coastal Plain Regional Supplement Organization of field the field testing of the draft Regional Supplement. Field testing will be done in cooperation with regional, the District coordinator will provide team members with an introduction to the Regional Supplement

  19. Southeast Regional Carbon Sequestration Partnership (SECARB)

    SciTech Connect (OSTI)

    Kathryn A. Baskin

    2004-03-31

    Work during the first six months of the project mainly concentrated on contracts execution and collection of data to characterize the region and input of that data into the geographical information system (GIS) system. Data was collected for source characterization, transportation options and terrestrial options. In addition, discussions were held to determine the extent of the geologic information that would be needed for the project. In addition, activities associated with the regulatory, permitting and safety issues were completed. Outreach activities are in the formative stages.

  20. SOUTHWEST REGIONAL PARTNERSHIP ON CARBON SEQUESTRATION

    SciTech Connect (OSTI)

    Brian McPherson

    2005-08-01

    The Southwest Partnership on Carbon Sequestration completed several more tasks during the period of October 1, 2004--March 31, 2005. The main objective of the Southwest Partnership project is to achieve an 18% reduction in carbon intensity by 2012. Action plans for possible Phase 2 carbon sequestration pilot tests in the region are completed, and a proposal was developed and submitted describing how the Partnership may develop and carry out appropriate pilot tests. The content of this report focuses on Phase 1 objectives completed during this reporting period.

  1. TCEQ Regional Offices | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page| Open Energy Information Serbia-Enhancing CapacityVectren)Model forTechnologies95Symerton,E C CenterRegional Offices

  2. Template:GeothermalRegion | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page| Open Energy Information Serbia-EnhancingEt Al., 2013) | Open EnergyDBpediaValue JumpFacebookLikeGeothermalRegion Jump

  3. Form:GeothermalRegion | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QAsource History View New PagesSustainable Urban Transport JumpFlowood,Pevafersa JVOhio:River,EventGeothermalRegion

  4. New Zealand Geothermal Region | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QAsource History ViewMayo, Maryland:NPI Ventures LtdNeville,Information 7th congressionalGeothermal Region Jump

  5. EIA - Natural Gas Pipeline System - Central Region

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963 1.969Central Region About U.S. Natural Gas Pipelines - Transporting

  6. EIA - Natural Gas Pipeline System - Northeast Region

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963 1.969Central Region About U.S. Natural Gas Pipelines -Midwest

  7. EIA - Natural Gas Pipeline System - Southeast Region

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963 1.969Central Region About U.S. Natural Gas Pipelines

  8. EIA - Natural Gas Pipeline System - Western Region

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963 1.969Central Region About U.S. Natural Gas PipelinesSouthwest

  9. Property:Region | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIX ECoop Inc Jump to:Newberg,Energy LLCALLETE Inc dEA EISProject JumpRegion Jump to:

  10. Johnstown Regional Energy | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIX E LISTStar2-0057-EAInvervar Hydro JumpHuari Silicon Material CoJohnstown Regional Energy

  11. Regional Science Bowl | netl.doe.gov

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration wouldMassR&D100 Winners * ImpactsandRegarding ConfinementRegional PartnershipsMethod

  12. Regional nonprofits receive sizeable monetary boost

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration wouldMassR&D100 Winners * ImpactsandRegarding ConfinementRegional

  13. Austria Geothermal Region | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION JEnvironmental Jump to:EAandAmminex AAustria Geothermal Region Jump to: navigation, search

  14. Lake Region Electric Cooperative | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIXsource History ViewInformation Actions(RedirectedLouisiana:Nacimiento,Lake Region

  15. WIPP Mine Rescue Team Wins Regional Competition

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power AdministrationRobust,Field-effectWorking WithTelecentricN A 035(92/02) nerg *4 o**Colorado CompetitionRegional

  16. INL Equipment to Aid Regional Response Team

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration would likeUniverse (JournalvivoHighHussein KhalilResearch8 IEEEINL Equipment to Aid Regional

  17. F region above kauai: Measurement, model, modification

    SciTech Connect (OSTI)

    Johnson, C.Y.; Sjolander, G.W.; Oran, E.S.; Young, T.R.; Bernhardt, P.A.; Da Rosa, A.V.

    1980-08-01

    A detailed description and analysis is presented of the Lagopedo II results. The rocket was launched on September 11, 1977. Prior to an explosive chemical release a rocket-borne ion mass spectrometer and dual-frequency beacon measured the ion composition and electron content of the undisturbed F region above Kauai, Hawaii. These results are compared to a detailed calculation of ionospheric ion denities. Considerable H/sub 2/O outgassing produced measurable 18/sup +/(H/sub 2/O/sup +/) and 19/sup +/(H/sub 3/O/sup +/) currents which together with O/sup +/ current were used to determine the H/sup 3/O/sup +//H/sub 2/O/sup +/ dissociative recombination rate ratio. The explosive event at 283 km swept clean a l-km-radius region. The boundary of the ionic void was characterized by a steep gradient in the ion density. Results for the first 60 s after the event are presented which show changes in ambient ion species 14/sup +/, 16/sup +/, 30/sup +/, new reactant species 15/sup +/, 17/sup +/, 18/sup +/, 19/sup +/, 27/sup +/, and 46/sup +/, and evidence of ionic depletion by sweeping.

  18. Detection and Attribution of Regional Climate Change

    SciTech Connect (OSTI)

    Bala, G; Mirin, A

    2007-01-19

    We developed a high resolution global coupled modeling capability to perform breakthrough studies of the regional climate change. The atmospheric component in our simulation uses a 1{sup o} latitude x 1.25{sup o} longitude grid which is the finest resolution ever used for the NCAR coupled climate model CCSM3. Substantial testing and slight retuning was required to get an acceptable control simulation. The major accomplishment is the validation of this new high resolution configuration of CCSM3. There are major improvements in our simulation of the surface wind stress and sea ice thickness distribution in the Arctic. Surface wind stress and ocean circulation in the Antarctic Circumpolar Current are also improved. Our results demonstrate that the FV version of the CCSM coupled model is a state of the art climate model whose simulation capabilities are in the class of those used for IPCC assessments. We have also provided 1000 years of model data to Scripps Institution of Oceanography to estimate the natural variability of stream flow in California. In the future, our global model simulations will provide boundary data to high-resolution mesoscale model that will be used at LLNL. The mesoscale model would dynamically downscale the GCM climate to regional scale on climate time scales.

  19. Applying waste logistics modeling to regional planning

    SciTech Connect (OSTI)

    Holter, G.M.; Khawaja, A.; Shaver, S.R.; Peterson, K.L.

    1995-05-01

    Waste logistics modeling is a powerful analytical technique that can be used for effective planning of future solid waste storage, treatment, and disposal activities. Proper waste management is essential for preventing unacceptable environmental degradation from ongoing operations, and is also a critical part of any environmental remediation activity. Logistics modeling allows for analysis of alternate scenarios for future waste flowrates and routings, facility schedules, and processing or handling capacities. Such analyses provide an increased understanding of the critical needs for waste storage, treatment, transport, and disposal while there is still adequate lead time to plan accordingly. They also provide a basis for determining the sensitivity of these critical needs to the various system parameters. This paper discusses the application of waste logistics modeling concepts to regional planning. In addition to ongoing efforts to aid in planning for a large industrial complex, the Pacific Northwest Laboratory (PNL) is currently involved in implementing waste logistics modeling as part of the planning process for material recovery and recycling within a multi-city region in the western US.

  20. Aerosol remote sensing in polar regions

    DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)

    Tomasi, Claudio; Kokhanovsky, Alexander A.; Lupi, Angelo; Ritter, Christoph; Smirnov, Alexander; O'Neill, Norman T.; Stone, Robert S.; Holben, Brent N.; Nyeki, Stephan; Wehrli, Christoph; et al

    2015-01-01

    Multi-year sets of ground-based sun-photometer measurements conducted at 12 Arctic sites and 9 Antarctic sites were examined to determine daily mean values of aerosol optical thickness ?(?) at visible and near-infrared wavelengths, from which best-fit values of Ångström's exponent ? were calculated. Analysing these data, the monthly mean values of ?(0.50 ?m) and ? and the relative frequency histograms of the daily mean values of both parameters were determined for winter–spring and summer–autumn in the Arctic and for austral summer in Antarctica. The Arctic and Antarctic covariance plots of the seasonal median values of ? versus ?(0.50 ?m) showed: (i)more »a considerable increase in ?(0.50 ?m) for the Arctic aerosol from summer to winter–spring, without marked changes in ?; and (ii) a marked increase in ?(0.50 ?m) passing from the Antarctic Plateau to coastal sites, whereas ? decreased considerably due to the larger fraction of sea-salt aerosol. Good agreement was found when comparing ground-based sun-photometer measurements of ?(?) and ? at Arctic and Antarctic coastal sites with Microtops measurements conducted during numerous AERONET/MAN cruises from 2006 to 2013 in three Arctic Ocean sectors and in coastal and off-shore regions of the Southern Atlantic, Pacific, and Indian Oceans, and the Antarctic Peninsula. Lidar measurements were also examined to characterise vertical profiles of the aerosol backscattering coefficient measured throughout the year at Ny-Ålesund. Satellite-based MODIS, MISR, and AATSR retrievals of ?(?) over large parts of the oceanic polar regions during spring and summer were in close agreement with ship-borne and coastal ground-based sun-photometer measurements. An overview of the chemical composition of mode particles is also presented, based on in-situ measurements at Arctic and Antarctic sites. Fourteen log-normal aerosol number size-distributions were defined to represent the average features of nuclei, accumulation and coarse mode particles for Arctic haze, summer background aerosol, Asian dust and boreal forest fire smoke, and for various background austral summer aerosol types at coastal and high-altitude Antarctic sites. The main columnar aerosol optical characteristics were determined for all 14 particle modes, based on in-situ measurements of the scattering and absorption coefficients. Diurnally averaged direct aerosol-induced radiative forcing and efficiency were calculated for a set of multimodal aerosol extinction models, using various Bidirectional Reflectance Distribution Function models over vegetation-covered, oceanic and snow-covered surfaces. These gave a reliable measure of the pronounced effects of aerosols on the radiation balance of the surface–atmosphere system over polar regions.« less

  1. Aerosol remote sensing in polar regions

    SciTech Connect (OSTI)

    Tomasi, Claudio; Kokhanovsky, Alexander A.; Lupi, Angelo; Ritter, Christoph; Smirnov, Alexander; O'Neill, Norman T.; Stone, Robert S.; Holben, Brent N.; Nyeki, Stephan; Mazzola, Mauro; Lanconelli, Christian; Vitale, Vito; Stebel, Kerstin; Aaltonen, Veijo; de Leeuw, Gerrit; Rodriguez, Edith; Herber, Andreas B.; Radionov, Vladimir F.; Zielinski, Tymon; Petelski, Tomasz; Sakerin, Sergey M.; Kabanov, Dmitry M.; Xue, Yong; Mei, Linlu; Istomina, Larysa; Wagener, Richard; McArthur, Bruce; Sobolewski, Piotr S.; Kivi, Rigel; Courcoux, Yann; Larouche, Pierre; Broccardo, Stephen; Piketh, Stuart J.

    2015-01-01

    Multi-year sets of ground-based sun-photometer measurements conducted at 12 Arctic sites and 9 Antarctic sites were examined to determine daily mean values of aerosol optical thickness ?(?) at visible and near-infrared wavelengths, from which best-fit values of Ångström's exponent ? were calculated. Analysing these data, the monthly mean values of ?(0.50 ?m) and ? and the relative frequency histograms of the daily mean values of both parameters were determined for winter–spring and summer–autumn in the Arctic and for austral summer in Antarctica. The Arctic and Antarctic covariance plots of the seasonal median values of ? versus ?(0.50 ?m) showed: (i) a considerable increase in ?(0.50 ?m) for the Arctic aerosol from summer to winter–spring, without marked changes in ?; and (ii) a marked increase in ?(0.50 ?m) passing from the Antarctic Plateau to coastal sites, whereas ? decreased considerably due to the larger fraction of sea-salt aerosol. Good agreement was found when comparing ground-based sun-photometer measurements of ?(?) and ? at Arctic and Antarctic coastal sites with Microtops measurements conducted during numerous AERONET/MAN cruises from 2006 to 2013 in three Arctic Ocean sectors and in coastal and off-shore regions of the Southern Atlantic, Pacific, and Indian Oceans, and the Antarctic Peninsula. Lidar measurements were also examined to characterise vertical profiles of the aerosol backscattering coefficient measured throughout the year at Ny-Ålesund. Satellite-based MODIS, MISR, and AATSR retrievals of ?(?) over large parts of the oceanic polar regions during spring and summer were in close agreement with ship-borne and coastal ground-based sun-photometer measurements. An overview of the chemical composition of mode particles is also presented, based on in-situ measurements at Arctic and Antarctic sites. Fourteen log-normal aerosol number size-distributions were defined to represent the average features of nuclei, accumulation and coarse mode particles for Arctic haze, summer background aerosol, Asian dust and boreal forest fire smoke, and for various background austral summer aerosol types at coastal and high-altitude Antarctic sites. The main columnar aerosol optical characteristics were determined for all 14 particle modes, based on in-situ measurements of the scattering and absorption coefficients. Diurnally averaged direct aerosol-induced radiative forcing and efficiency were calculated for a set of multimodal aerosol extinction models, using various Bidirectional Reflectance Distribution Function models over vegetation-covered, oceanic and snow-covered surfaces. These gave a reliable measure of the pronounced effects of aerosols on the radiation balance of the surface–atmosphere system over polar regions.

  2. Southwest Alaska Regional Geothermal Energy Project

    SciTech Connect (OSTI)

    Holdmann, Gwen

    2015-04-30

    The village of Elim, Alaska is 96 miles west of Nome, on the Seward Peninsula. The Darby Mountains north of the village are rich with hydrothermal systems associated with the Darby granitic pluton(s). In addition to the hot springs that have been recorded and studied over the last 100 years, additional hot springs exist. They are known through a rich oral history of the region, though they are not labeled on geothermal maps. This research primarily focused on Kwiniuk Hot Springs, Clear Creek Hot Springs and Molly’s Hot Springs. The highest recorded surface temperatures of these resources exist at Clear Creek Hot Springs (67°C). Repeated water sampling of the resources shows that maximum temperatures at all of the systems are below boiling.

  3. The Physics of Traffic and Regional Development

    E-Print Network [OSTI]

    Helbing, Dirk

    2013-01-01

    This contribution summarizes and explains various principles from physics which are used for the simulation of traffic flows in large street networks, the modeling of destination, transport mode, and route choice, or the simulation of urban growth and regional development. The methods stem from many-particle physics, from kinetic gas theory, or fluiddynamics. They involve energy and entropy considerations, transfer the law of gravity, apply cellular automata and require methods from evolutionary game theory. In this way, one can determine interaction forces among driver-vehicle units, reproduce breakdowns of traffic including features of synchronized congested flow, or understand changing usage patterns of alternative roads. One can also describe daily activity patterns based on decision models, simulate migration streams, and model urban growth as a particular kind of aggregation process.

  4. Wide Area Security Region Final Report

    SciTech Connect (OSTI)

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

    2010-03-31

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

  5. Automatically identifying critical input regions and code in applications

    E-Print Network [OSTI]

    Carbin, Michael James

    Applications that process complex inputs often react in different ways to changes in different regions of the input. Small changes to forgiving regions induce correspondingly small changes in the behavior and output. Small ...

  6. Dynamic interactions between electricity prices and the regional economy 

    E-Print Network [OSTI]

    Bethapudi, Daniel Naveen

    2005-08-29

    In this thesis we study characterize the dynamic relationships among two electricity price variables (residential and commercial) and six regional economic variables in order to examine each individual variable??s role in regional economic activity...

  7. U.S. Environmental Protection Agency Regional Laboratory System

    E-Print Network [OSTI]

    : Division of Environmental Science and Assessment Laboratory Branch John Bourbon, Director bourbonU.S. Environmental Protection Agency Regional Laboratory System EPA Regional Laboratories the Conversation on Environmentalism and Working for Environmental Justice

  8. Regional parking fee : a potential funding source for transit?

    E-Print Network [OSTI]

    Misiak, Jodie Mercer

    2005-01-01

    From a regional mobility perspective, Chicagoland is in serious trouble. The current Chicago Transit Authority (CTA) funding shortfall is just the most recent evidence of major flaws in the region's transit governance and ...

  9. Regional Short-Term Energy Model (RSTEM) Overview

    Reports and Publications (EIA)

    2009-01-01

    The Regional Short-Term Energy Model (RSTEM) utilizes estimated econometric relationships for demand, inventories and prices to forecast energy market outcomes across key sectors and selected regions throughout the United States.

  10. Studies of two-region subcritical uranium heavy water lattices

    E-Print Network [OSTI]

    Gosnell, James Waterbury

    1969-01-01

    Reactor physics parameters were measured in eleven two-region subcritical assemblies moderated by heavy water. The regions of the assemblies consisted of nine different lattices of various fuel rod size, U235 enrichment, ...

  11. Alleviating the disparities among the European Community regions 

    E-Print Network [OSTI]

    Karveli, Kalliopi N.

    1994-01-01

    In this work the author identifies the existing disparities among the European Community regions and analyzes their development during the last decade (1980-90), with main emphasis on the disparities between the Community lagging regions...

  12. 2015 NHA Southeast Regional Meeting | Department of Energy

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

    Southeast Regional Meeting 2015 NHA Southeast Regional Meeting August 27, 2015 8:00AM EDT to August 28, 2015 5:00PM EDT Hilton Charlotte Center City 222 E 3rd Street Charlotte, NC...

  13. 2015 ACI Mid-Atlantic Regional Home Performance Conference |...

    Energy Savers [EERE]

    2015 ACI Mid-Atlantic Regional Home Performance Conference 2015 ACI Mid-Atlantic Regional Home Performance Conference October 20, 2015 9:00AM EDT to October 21, 2015 5:00PM EDT...

  14. National Strategy for the Arctic Region Stakeholder Outreach...

    Office of Environmental Management (EM)

    for the Arctic Region Stakeholder Outreach Meeting: Bethel February 25, 2015 1:30PM to 3:30PM AKST Bethel, Alaska AVCP Regional Housing Authority 411 Ptarmigan St. Bethel, AK 99559...

  15. The Lepidopteran Mitochondrial Control Region: Structure and Evolution 1

    E-Print Network [OSTI]

    Pierce, Naomi E.

    -region function and evolution is hampered by a lack of comparative data, and control-region sequence data, University Mol. Bid. Ed. 1O(6): 1259- 1212. 1993. 0 1993 by The University of Chicago. All rights reserved

  16. Construction and AvailabilityConstruction and Availability Uncertainty in the RegionalUncertainty in the Regional

    E-Print Network [OSTI]

    Page 1 Construction and AvailabilityConstruction and Availability Uncertainty in the Regional and Technology Availability Construction Costs Economic Retirement Variable Capacity for Existing Units #12;Page to construction power plants or to take other action May include policies for particular resources "Scenario

  17. Geographic Information System At Northern Basin & Range Region...

    Open Energy Info (EERE)

    navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Geographic Information System At Northern Basin & Range Region (Blewitt, Et Al., 2003) Exploration...

  18. Foster-Glocester Regional School District (Rhode Island) - Financing Profile

    SciTech Connect (OSTI)

    none,

    2008-12-01

    This document is an EnergySmart Schools Financing Profile of Foster-Glocester Regional School District in Rhode Island

  19. Great Lakes Water Scarcity and Regional Economic Development

    ScienceCinema (OSTI)

    Cameron Davis; Tim Eder; David Ulrich; David Naftzger; Donald J. Wuebbles; Mark C. Petri

    2013-06-06

    Great Lakes Water Scarcity and Regional Economic Development panel at Northwestern University on 10/10/2012

  20. Data Acquisition-Manipulation At Cascades Region (Ingebritsen...

    Open Energy Info (EERE)

    Data Acquisition-Manipulation At Cascades Region (Ingebritsen & Mariner, 2010) Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Data...

  1. Ocean dynamics and thermodynamics in the tropical Indo- Pacific region

    E-Print Network [OSTI]

    Drushka, Kyla

    2011-01-01

    an effective tsunami warning system for this region.to put an effective tsunami warning system in place. The

  2. Energy Efficiency as a Resource Regional Reports Introduction

    SciTech Connect (OSTI)

    None

    2010-06-25

    This is an introduction to the Energy Efficiency as a Resource Regional Reports produced by the DOE Industrial Technologies Program.

  3. Regional Service Plan For Coordinated Transportation In the Permian Basin 

    E-Print Network [OSTI]

    Permian Basin Regional Planning Commission

    2010-10-27

    Regional Service Plan Permian Basin ? Region 9 Table of Contents I. Acknowledgements 4 II. Executive Summary 5 III. Background 6 A. Regional Description 6 i. Geography and Demographics 6 ii. Transportation... Planning Partners 12 iii. Current Transportation Services/Providers 13 B. History of Regional Coordination of Public Transportation 14 i. Past/Continuing Planning Activities 14 ii. Past/Current Implemented Projects/Services 15 IV...

  4. Establishment of Small Wind Turbine Regional Test Centers (Presentation)

    SciTech Connect (OSTI)

    Sinclair, K.

    2011-09-16

    This presentation offers an overview of the Regional Test Centers project for Small Wind Turbine testing and certification.

  5. Great Lakes Water Scarcity and Regional Economic Development

    SciTech Connect (OSTI)

    Cameron Davis; Tim Eder; David Ulrich; David Naftzger; Donald J. Wuebbles; Mark C. Petri

    2012-10-10

    Great Lakes Water Scarcity and Regional Economic Development panel at Northwestern University on 10/10/2012

  6. Teleseismic-Seismic Monitoring At Yellowstone Region (Chatterjee...

    Open Energy Info (EERE)

    Teleseismic-Seismic Monitoring At Yellowstone Region (Chatterjee, Et Al., 1985) Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity:...

  7. San Francisco Estuary Wetlands Regional Monitoring Program Plan

    E-Print Network [OSTI]

    San Francisco Estuary Wetlands Regional Monitoring Program Plan: Version 1 Framework and Protocols Wetlands Regional Monitoring Program Steering Committee Compiled and Edited by Joshua N. Collins, PhD San ................. 91 #12;#12;Wetlands Regional Monitoring Program Plan 2002 Executive Summary i San Francisco Estuary

  8. Regional Assessment of Tsunami Potential in the Gulf of Mexico

    E-Print Network [OSTI]

    ten Brink, Uri S.

    Regional Assessment of Tsunami Potential in the Gulf of Mexico Report to the National Tsunami Hazard Mitigation Program #12;#12;Regional Assessment of Tsunami Potential in the Gulf of Mexico Report should be cited as: Regional Assessment of Tsunami Potential in the Gulf of Mexico: U.S. Geological

  9. DESIGN PHILOSOPHY FOR STEEL STRUCTURES IN MODERATE SEISMIC REGIONS

    E-Print Network [OSTI]

    Hines, Eric

    DESIGN PHILOSOPHY FOR STEEL STRUCTURES IN MODERATE SEISMIC REGIONS E.M. Hines1 and L.A. Fahnestock2 ABSTRACT The authors propose a design philosophy for steel buildings in moderate seismic regions that draws of the International Building Code has introduced seismic design to regions of North America that heretofore have

  10. Gulf of Mexico Regional Land Cover Change Report

    E-Print Network [OSTI]

    Gulf of Mexico Regional Land Cover Change Report 1996­2010 #12;About This Report The Gulf of Mexico at www.coast.noaa.gov. #12;GULF OF MEXICO REGIONAL LAND COVER CHANGE REPORT, 1996­2010 THE GULF OF MEXICO REGION covers over 200,400 square miles and extends from Texas'border with Mexico in the west to the tip

  11. Diamond Lattice Model of Semicrystalline Polyethylene in the Amorphous Region

    E-Print Network [OSTI]

    Diamond Lattice Model of Semicrystalline Polyethylene in the Amorphous Region Zhong­Hui Duan Abstract The statistics of polyethylene chains in the amorphous region between two crystallites have been as models of the chain molecules in the amorphous region of semicrystalline polyethylene, both

  12. Field Testing Protocol Western Mountains, Valleys and Coast Regional Supplement

    E-Print Network [OSTI]

    US Army Corps of Engineers

    Field Testing Protocol Western Mountains, Valleys and Coast Regional Supplement Organization and oversee the field testing of the draft Regional Supplement. Field testing will be done in cooperation, the District coordinator will provide team members with an introduction to the Regional Supplement

  13. STUDENT MANUAL SCHOOL OF CITY AND REGIONAL PLANNING

    E-Print Network [OSTI]

    Li, Mo

    STUDENT MANUAL SCHOOL OF CITY AND REGIONAL PLANNING COLLEGE OF ARCHITECTURE GEORGIA INSTITUTE OF TECHNOLOGY MASTER OF CITY AND REGIONAL PLANNING DEGREE Academic Year 2014-2015 #12;Contents I. INTRODUCTION..............................................................................................1 III. CITY AND REGIONAL PLANNING FACULTY AND STAFF, 2013

  14. Measurement of Regional Lung Function in Rats Using Hyperpolarized 3

    E-Print Network [OSTI]

    Measurement of Regional Lung Function in Rats Using Hyperpolarized 3 Helium Dynamic MRI Ben T. Chen,* Anja C.S. Brau, and G. Allan Johnson Dynamic regional lung function was investigated in rats using by a constant flow ventila- tor. Based on regional differences in the behavior of inspired air, the lung

  15. The Tuna Industry in the Pacific Islands Region

    E-Print Network [OSTI]

    to be at a crossroads. This paper reviews the tuna industry in the Pacific islands region, beginning with the regionThe Tuna Industry in the Pacific Islands Region: Opportunities for Foreign Investment DAVID J. DOULMAN Introduction The international tuna industry is in a state of flux. Since the early 1980's (and

  16. Seismic Reflection Results: Stewart Gulch Region, Boise, Idaho

    E-Print Network [OSTI]

    Barrash, Warren

    Seismic Reflection Results: Stewart Gulch Region, Boise, Idaho Report Prepared for The Terteling) Boise State University Boise, Idaho 83725 Technical Report BSU CGISS 96-04 1 December 1996 #12;SEISMIC REFLECTION RESULTS: STEWART GULCH REGION, BOISE, IDAHO 1 SEISMIC REFLECTION RESULTS: STEWART GULCH REGION

  17. The CO2 Content of Consumption Across US Regions: A Multi-Regional Input-Output (MRIO) Approach

    E-Print Network [OSTI]

    Caron, J.

    We improve on existing estimates of the carbon dioxide (CO2) content of consumption across regions of the United States. Using a multi-regional input-output (MRIO) framework, we estimate the direct and indirect CO2 emissions ...

  18. Gulf of Mexico Regional Collaborative Final Report

    SciTech Connect (OSTI)

    Judd, Kathleen S.; Judd, Chaeli; Engel-Cox, Jill A.; Gulbransen, Thomas; Anderson, Michael G.; Woodruff, Dana L.; Thom, Ronald M.; Guzy, Michael; hardin, danny; Estes, Maury

    2007-12-01

    This report presents the results of the Gulf of Mexico Regional Collaborative (GoMRC), a year-long project funded by NASA. The GoMRC project was organized around end user outreach activities, a science applications team, and a team for information technology (IT) development. Key outcomes are summarized below for each of these areas. End User Outreach ? Successfully engaged federal and state end users in project planning and feedback ? With end user input, defined needs and system functional requirements ? Conducted demonstration to End User Advisory Committee on July 9, 2007 and presented at Gulf of Mexico Alliance (GOMA) meeting of Habitat Identification committee ? Conducted significant engagement of other end user groups, such as the National Estuary Programs (NEP), in the Fall of 2007 ? Established partnership with SERVIR and Harmful Algal Blooms Observing System (HABSOS) programs and initiated plan to extend HABs monitoring and prediction capabilities to the southern Gulf. ? Established a science and technology working group with Mexican institutions centered in the State of Veracruz. Key team members include the Federal Commission for the Protection Against Sanitary Risks (COFEPRIS), the Ecological Institute (INECOL) a unit of the National Council for science and technology (CONACYT), the Veracruz Aquarium (NOAA’s first international Coastal Ecology Learning Center) and the State of Veracruz. The Mexican Navy (critical to coastal studies in the Southern Gulf) and other national and regional entities have also been engaged. ? Training on use of SERVIR portal planned for Fall 2007 in Veracruz, Mexico Science Applications ? Worked with regional scientists to produce conceptual models of submerged aquatic vegetation (SAV) ecosystems ? Built a logical framework and tool for ontological modeling of SAV and HABs ? Created online guidance for SAV restoration planning ? Created model runs which link potential future land use trends, runoff and SAV viability ? Analyzed SAV cover change at five other bays in the Gulf of Mexico to demonstrate extensibility of the analytical tools ? Initiated development of a conceptual model for understanding the causes and effects of HABs in the Gulf of Mexico IT Tool Development ? Established a website with the GoMRC web-based tools at www.gomrc.org ? Completed development of an ArcGIS-based decision support tool for SAV restoration prioritization decisions, and demonstrated its use in Mobile Bay ? Developed a web-based application, called Conceptual Model Explorer (CME), that enables non-GIS users to employ the prioritization model for SAV restoration ? Created CME tool enabling scientists to view existing, and create new, ecosystem conceptual models which can be used to document cause-effect relationships within coastal ecosystems, and offer guidance on management solutions. ? Adapted the science-driven advanced web search engine, Noesis, to focus on an initial set of coastal and marine resource issues, including SAV and HABs ? Incorporated map visualization tools with initial data layers related to coastal wetlands and SAVs

  19. MRP Program in the Graduate Field of City and Regional Planning Department of City and Regional Planning, AAP

    E-Print Network [OSTI]

    Walter, M.Todd

    1 MRP Program in the Graduate Field of City and Regional Planning Department of City and Regional Planning, AAP City and regional planning is an interdisciplinary field of study focused on understanding choose to pursue doctoral degrees in planning or allied fields such as public policy, environmental

  20. Southern Regional Center for Lightweight Innovative Design

    SciTech Connect (OSTI)

    2012-08-24

    The Southern Regional Center for Lightweight Innovative Design (SRCLID) has developed an experimentally validated cradle-to-grave modeling and simulation effort to optimize automotive components in order to decrease weight and cost, yet increase performance and safety in crash scenarios. In summary, the three major objectives of this project are accomplished: To develop experimentally validated cradle-to-grave modeling and simulation tools to optimize automotive and truck components for lightweighting materials (aluminum, steel, and Mg alloys and polymer-based composites) with consideration of uncertainty to decrease weight and cost, yet increase the performance and safety in impact scenarios; To develop multiscale computational models that quantify microstructure-property relations by evaluating various length scales, from the atomic through component levels, for each step of the manufacturing process for vehicles; and To develop an integrated K-12 educational program to educate students on lightweighting designs and impact scenarios. In this final report, we divided the content into two parts: the first part contains the development of building blocks for the project, including materials and process models, process-structure-property (PSP) relationship, and experimental validation capabilities; the second part presents the demonstration task for Mg front-end work associated with USAMP projects.