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Note: This page contains sample records for the topic "bay area number" from the National Library of EnergyBeta (NLEBeta).
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We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


1

Bay Area | Open Energy Information  

Open Energy Info (EERE)

Bay Area Bay Area Jump to: navigation, search Contents 1 Clean Energy Clusters in the Bay Area 1.1 Products and Services in the Bay Area 1.2 Research and Development Institutions in the Bay Area 1.3 Networking Organizations in the Bay Area 1.4 Investors and Financial Organizations in the Bay Area 1.5 Policy Organizations in the Bay Area Clean Energy Clusters in the Bay Area Products and Services in the Bay Area Loading map... {"format":"googlemaps3","type":"ROADMAP","types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"limit":500,"offset":0,"link":"all","sort":[""],"order":[],"headers":"show","mainlabel":"","intro":"","outro":"","searchlabel":"\u2026

2

Bristol Bay Geothermal Area | Open Energy Information  

Open Energy Info (EERE)

Bristol Bay Geothermal Area Bristol Bay Geothermal Area Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Geothermal Resource Area: Bristol Bay Geothermal Area Contents 1 Area Overview 2 History and Infrastructure 3 Regulatory and Environmental Issues 4 Exploration History 5 Well Field Description 6 Geology of the Area 7 Geofluid Geochemistry 8 NEPA-Related Analyses (1) 9 Exploration Activities (0) 10 References Area Overview Geothermal Area Profile Location: Bristol Bay Borough, Alaska Exploration Region: Alaska Geothermal Region GEA Development Phase: none"None" is not in the list of possible values (Phase I - Resource Procurement and Identification, Phase II - Resource Exploration and Confirmation, Phase III - Permitting and Initial Development, Phase IV - Resource Production and Power Plant Construction) for this property.

3

Tampa Bay Area Ethanol Consortium | Open Energy Information  

Open Energy Info (EERE)

Tampa Bay Area Ethanol Consortium Jump to: navigation, search Name Tampa Bay Area Ethanol Consortium Place Tampa, Florida Sector Biomass Product Consortium researching ethanol from...

4

Climate Change and Bay Area Transportation  

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

Climate Change and Bay Area Transportation Speaker(s): Bruce Riordan Date: April 5, 2007 - 12:00pm Location: 90-3122 Seminar HostPoint of Contact: Marcia Beck Bruce Riordan is a...

5

Aerial survey of Bay Area continues through Saturday | National...  

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

Federal Employment Apply for Our Jobs Our Jobs Working at NNSA Blog Home > NNSA Blog > Aerial survey of Bay Area continues through Saturday Aerial survey of Bay Area continues...

6

California South/West Bay Area Regional Middle School Science...  

Office of Science (SC) Website

California SouthWest Bay Area Regional Middle School Science Bowl National Science Bowl (NSB) NSB Home About High School Middle School Middle School Students Middle School...

7

Aerial survey of Bay Area continues through Saturday | National Nuclear  

National Nuclear Security Administration (NNSA)

of Bay Area continues through Saturday | National Nuclear of Bay Area continues through Saturday | National Nuclear Security Administration Our Mission Managing the Stockpile Preventing Proliferation Powering the Nuclear Navy Emergency Response Recapitalizing Our Infrastructure Continuing Management Reform Countering Nuclear Terrorism About Us Our Programs Our History Who We Are Our Leadership Our Locations Budget Our Operations Media Room Congressional Testimony Fact Sheets Newsletters Press Releases Speeches Events Social Media Video Gallery Photo Gallery NNSA Archive Federal Employment Apply for Our Jobs Our Jobs Working at NNSA Blog Home > NNSA Blog > Aerial survey of Bay Area continues through Saturday Aerial survey of Bay Area continues through Saturday Posted By Office of Public Affairs NNSA Blog This week, a NNSA helicopter has been flying at a low-level altitude over

8

Bay Area Simulation and Ramp Metering Study  

E-Print Network (OSTI)

and testing new ramp metering strategies, ranging fromArea Simulation and Ramp Metering Study – Initial Projectfor Evaluating Ramp Metering Algorithm”, University of

Gardes, Yonnel; May, Adolf D.; Dahlgren, Joy; Skarbardonis, Alex

2002-01-01T23:59:59.000Z

9

Cold Bay Hot Spring Geothermal Area | Open Energy Information  

Open Energy Info (EERE)

Cold Bay Hot Spring Geothermal Area Cold Bay Hot Spring Geothermal Area Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Geothermal Resource Area: Cold Bay Hot Spring Geothermal Area Contents 1 Area Overview 2 History and Infrastructure 3 Regulatory and Environmental Issues 4 Exploration History 5 Well Field Description 6 Geology of the Area 7 Geofluid Geochemistry 8 NEPA-Related Analyses (0) 9 Exploration Activities (0) 10 References Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"TERRAIN","zoom":6,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"500px","height":"300px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":55.2217,"lon":-162.412,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

10

Bailey Bay Hot Springs Geothermal Area | Open Energy Information  

Open Energy Info (EERE)

Bailey Bay Hot Springs Geothermal Area Bailey Bay Hot Springs Geothermal Area Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Geothermal Resource Area: Bailey Bay Hot Springs Geothermal Area Contents 1 Area Overview 2 History and Infrastructure 3 Regulatory and Environmental Issues 4 Exploration History 5 Well Field Description 6 Geology of the Area 7 Geofluid Geochemistry 8 NEPA-Related Analyses (0) 9 Exploration Activities (0) 10 References Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"TERRAIN","zoom":6,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"500px","height":"300px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":55.982,"lon":-131.6622,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

11

Near Fish Bay Geothermal Area | Open Energy Information  

Open Energy Info (EERE)

Near Fish Bay Geothermal Area Near Fish Bay Geothermal Area Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Geothermal Resource Area: Near Fish Bay Geothermal Area Contents 1 Area Overview 2 History and Infrastructure 3 Regulatory and Environmental Issues 4 Exploration History 5 Well Field Description 6 Geology of the Area 7 Geofluid Geochemistry 8 NEPA-Related Analyses (0) 9 Exploration Activities (0) 10 References Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"TERRAIN","zoom":6,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"500px","height":"300px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":57.3509833,"lon":-135.4106696,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

12

Hot Springs Bay Geothermal Area | Open Energy Information  

Open Energy Info (EERE)

Hot Springs Bay Geothermal Area Hot Springs Bay Geothermal Area Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Geothermal Resource Area: Hot Springs Bay Geothermal Area Contents 1 Area Overview 2 History and Infrastructure 3 Regulatory and Environmental Issues 4 Exploration History 5 Well Field Description 6 Geology of the Area 7 Geofluid Geochemistry 8 NEPA-Related Analyses (0) 9 Exploration Activities (0) 10 References Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"TERRAIN","zoom":6,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"500px","height":"300px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":54.166666,"lon":-165.82,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

13

Energy Secretary Steven Chu to Travel to Bay Area to Highlight...  

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

Steven Chu to Travel to Bay Area to Highlight State of the Union Address, Commitment to Clean Energy Energy Secretary Steven Chu to Travel to Bay Area to Highlight State of the...

14

Bay Area Transit Agencies Propel Fuel Cell Buses Toward Commercialization (Fact Sheet)  

Science Conference Proceedings (OSTI)

This fact sheet describes the Zero Emission Bay Area (ZEBA) demonstration of the next generation of fuel cells buses. Several transit agencies in the San Francisco Bay Area are participating in demonstrating the largest single fleet of fuel cell buses in the United States.

Not Available

2010-07-01T23:59:59.000Z

15

Energetics of Barotropic and Baroclinic Tides in the Monterey Bay Area  

Science Conference Proceedings (OSTI)

A detailed energy analysis of the barotropic and baroclinic M2 tides in the Monterey Bay area is performed. The authors first derive a theoretical framework for analyzing internal tide energetics based on the complete form of the barotropic and ...

Dujuan Kang; Oliver Fringer

2012-02-01T23:59:59.000Z

16

Energy Secretary Steven Chu to Travel to Bay Area to Highlight State of the  

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

Bay Area to Highlight Bay Area to Highlight State of the Union Address, Commitment to Clean Energy Energy Secretary Steven Chu to Travel to Bay Area to Highlight State of the Union Address, Commitment to Clean Energy January 31, 2012 - 7:38pm Addthis Washington, D.C. - As part of the Energy Department's ongoing efforts to highlight President Obama's State of the Union address and discuss the Obama Administration's commitment to American energy resources and innovation, tomorrow, Wednesday, February 1, U.S. Energy Secretary Steven Chu will headline a groundbreaking ceremony for Lawrence Berkeley National Laboratory's new Computational Research and Theory Facility, a cutting-edge supercomputing facility. Secretary Chu will also host a State of the Union Town Hall and take questions from students and faculty

17

Trace metal contamination of waters, sediments, and organisms of the Swan Lake area of Galveston Bay  

E-Print Network (OSTI)

Swan Lake is a sub-bay of the Galveston Bay system. The area received runoff from a tin smelter via the Wah Chang Ditch which ran through it in the past but the ditch is now cut off by a hurricane protection levee. An industrial waste disposal facility (Gulf Coast Waste Disposal Authority) is located north of the Wah Chang Ditch. Consequently there have been concerns about possible metal contamination in this area. I determined trace metal concentrations in water, sediments, and organisms (oyster, mussel, snail, crab, fish, shrimp, and spartina) in the area. Sediments and organisms were analyzed for total Ag, Al, As, Cd, Cu, Fe, Hg, Mn, Ni, Pb, Se, Sn, and Zn. Water samples were analyzed for Cd, Cu, Fe, Mn, and Sn. The variabilities and geographic trends in sediment trace metals indicated that waste disposal and airborne inputs from facilities located at the Tex Tin site were likely sources for metal pollution found in the sediments. Sediments in the study area showed elevated trace metals relative to Galveston Bay and other Texas bay sediments. Three different samplings of the Wah Chang Ditch showed no temporal patterns in metal distribution in the sediments. Lead especially was uniformly high on the three different trips, respectively averaging 1250 (Trip 1), 893 (Trip H), and 1350 ppm (Trip V). Metal enrichments at depth in the sediment column indicated that the Swan Lake area has recently received less input of metal contaminated sediment than in the past. Anthropogenic inputs did not greatly influence the natural concentrations of Fe, Al, and Ni in sediments either in the past or at present. Most organisms showed very small spatial variations. However, the oysters in Swan Lake are enriched in most metals relative to Galveston Bay and other U. S. Gulf of Mexico oysters. The mussels in this study do not reflect the unusually elevated environmental metal concentration in the sediments from which they were taken. Iron and Pb concentrations in oysters seemed to be directly related to sediment concentrations at each location. Oysters show higher concentrations in most metals than those in mussels. The Zn level was II 3 times higher in oysters. For organisms collected from the Swan Lake area trace metal concentrations were generally in the order oysters > snail > crab > shrimp > fish. Metal concentrations in Wah Chang Ditch water were very elevated relative to those of the Brazos River and Galveston Bay and closely reflect those in sediments of the Wah Chang Ditch.

Park, Junesoo

1995-01-01T23:59:59.000Z

18

California South/West Bay Area Regional Middle School Science Bowl  

Office of Science (SC) Website

California South/West California South/West Bay Area Regional Middle School Science Bowl National Science Bowl® (NSB) NSB Home About High School Middle School Middle School Students Middle School Coaches Middle School Regionals Middle School Rules, Forms, and Resources Attending National Event Volunteers 2013 Competition Results News Media WDTS Home Contact Information National Science Bowl® U.S. Department of Energy SC-27/ Forrestal Building 1000 Independence Ave., SW Washington, DC 20585 P: 202-586-6702 E: National.Science.Bowl@science.doe.gov California Regions California South/West Bay Area Regional Middle School Science Bowl Print Text Size: A A A RSS Feeds FeedbackShare Page Regional Coordinator Information Name: Ray Ng Email: RayNg97@gmail.com Regional Event Information Date: Saturday, March 8, 2014

19

Successful Application of Heat Pumps to a DHC System in the Tokyo Bay Area  

E-Print Network (OSTI)

The Harumi-Island District Heating & Cooling (DHC), which is located in the Tokyo Bay area, introduced the heat pump and thermal storage system with the aim of achieving minimum energy consumption, minimum environmental load, and maximum economical efficiency. It started operating in 2001, achieving high efficiency and a large amount of reduction of greenhouse gas emission, as well as low heat-charge. The system performance was verified by the continued commissioning of the system.

Yanagihara, R.; Okagaki, A.

2006-01-01T23:59:59.000Z

20

Observations of Fallout from the Fukushima Reactor Accident in San Francisco Bay Area Rainwater  

E-Print Network (OSTI)

We have observed fallout from the recent Fukushima Dai-ichi reactor accident in samples of rainwater collected in the San Francisco Bay area. Gamma ray spectra measured from these samples show clear evidence of fission products - 131,132I, 132Te, and 134,137Cs. The activity levels we have measured for these isotopes are very low and pose no health risk to the public.

Norman, Eric B; Chodash, Perry A

2011-01-01T23:59:59.000Z

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


21

Observations of Fallout from the Fukushima Reactor Accident in San Francisco Bay Area Rainwater  

E-Print Network (OSTI)

We have observed fallout from the recent Fukushima Dai-ichi reactor accident in samples of rainwater collected in the San Francisco Bay area. Gamma ray spectra measured from these samples show clear evidence of fission products – 131,132 I, 132 Te, and 134,137 Cs. The activity levels we have measured for these isotopes are very low and pose no health risk to the public.

Eric B. Norman; Christopher T. Angell; Perry A. Chodash

2011-01-01T23:59:59.000Z

22

Observations of Fallout from the Fukushima Reactor Accident in San Francisco Bay Area Rainwater  

E-Print Network (OSTI)

We have observed fallout from the recent Fukushima Dai-ichi reactor accident in samples of rainwater collected in the San Francisco Bay area. Gamma ray spectra measured from these samples show clear evidence of fission products - 131,132I, 132Te, and 134,137Cs. The activity levels we have measured for these isotopes are very low and pose no health risk to the public.

Eric B. Norman; Christopher T. Angell; Perry A. Chodash

2011-03-30T23:59:59.000Z

23

Application of the Weather Research and Forecasting Model for Air Quality Modeling in the San Francisco Bay Area  

Science Conference Proceedings (OSTI)

The Weather Research and Forecasting (WRF) model is evaluated by conducting various sensitivity experiments over central California including the San Francisco Bay Area (SFBA), with the goal of establishing a WRF model configuration to be used by ...

Raphael E. Rogers; Aijun Deng; David R. Stauffer; Brian J. Gaudet; Yiqin Jia; Su-Tzai Soong; Saffet Tanrikulu

2013-09-01T23:59:59.000Z

24

Application of the Weather Research and Forecasting Model for Air Quality Modeling in the San Francisco Bay Area  

Science Conference Proceedings (OSTI)

The Weather Research and Forecasting (WRF) model is evaluated by conducting various sensitivity experiments over central California (CA) including the San Francisco Bay Area (SFBA), with the goal of establishing a WRF model configuration to be ...

Raphael E. Rogers; Aijun Deng; David R. Stauffer; Brian J. Gaudet; Yiqin Jia; Su-Tzai Soong; Saffet Tanrikulu

25

Zero Emission Bay Area (ZEBA) Fuel Cell Bus Demonstration: First Results Report  

DOE Green Energy (OSTI)

This report documents the early implementation experience for the Zero Emission Bay Area (ZEBA) Demonstration, the largest fleet of fuel cell buses in the United States. The ZEBA Demonstration group includes five participating transit agencies: AC Transit (lead transit agency), Santa Clara Valley Transportation Authority (VTA), Golden Gate Transit (GGT), San Mateo County Transit District (SamTrans), and San Francisco Municipal Railway (Muni). The ZEBA partners are collaborating with the U.S. Department of Energy (DOE) and DOE's National Renewable Energy Laboratory (NREL) to evaluate the buses in revenue service.

Chandler, K.; Eudy, L.

2011-08-01T23:59:59.000Z

26

Natural gas hydrates of the Prudhoe Bay and Kuparuk River area, North Slope, Alaska  

SciTech Connect

Gas hydrates are crystalline substances composed of water and gas, mainly methane, in which a solid-water lattice accommodates gas molecules in a cage-like structure, or clathrate. These substances commonly have been regarded as a potential unconventional source of natural gas because of their enormous gas-storage capacity. Significant quantities of naturally occurring gas hydrates have been detected in many regions of the Arctic, including Siberia, the Mackenzie River Delta, and the North Slope of Alaska. On the North Slope, the methane-hydrate stability zone is a really extensive beneath most of the coastal plain province and has thicknesses greater than 1000 m in the Prudhoe Bay area. Gas hydrates have been inferred to occur in 50 North Slope exploratory and production wells on the basis of well-log responses calibrated to the response of an interval in a well where gas hydrates were recovered in a core by ARCO and Exxon. Most North Slope gas hydrates occur in six laterally continuous lower Tertiary sandstones and conglomerates; all these gas hydrates are geographically restricted to the area overlying the eastern part of the Kuparuk River oil field and the western part of the Prudhoe Bay oil field. The volume of gas within these gas hydrates is estimated to be about 1.0 [times] 10[sup 12] to 1.2 [times] 10[sup 12] m[sup 3] (37 to 44 tcf), or about twice the volume of conventional gas in the Prudhoe Bay field. 52 refs., 13 figs., 2 tabs.

Collett, T.S. (Geological Survey, Denver, CO (United States))

1993-05-01T23:59:59.000Z

27

Zero Emission Bay Area (ZEBA) Fuel Cell Bus Demonstration: Second Results Report  

DOE Green Energy (OSTI)

This report presents results of a demonstration of 12 new fuel cell electric buses (FCEB) operating in Oakland, California. The 12 FCEBs operate as a part of the Zero Emission Bay Area (ZEBA) Demonstration, which also includes two new hydrogen fueling stations. This effort is the largest FCEB demonstration in the United States and involves five participating transit agencies. The ZEBA partners are collaborating with the U.S. Department of Energy (DOE) and DOE's National Renewable Energy Laboratory (NREL) to evaluate the buses in revenue service. The first results report was published in August 2011, describing operation of these new FCEBs from September 2010 through May 2011. New results in this report provide an update through April 2012.

Eudy, L.; Chandler, K.

2012-07-01T23:59:59.000Z

28

Wind Stress Curl and Coastal Upwelling in the Area of Monterey Bay Observed during AOSN-II  

Science Conference Proceedings (OSTI)

Aircraft measurements obtained during the 2003–04 Autonomous Ocean Sampling Network (AOSN-II) project were used to study the effect of small-scale variations of near-surface wind stress on coastal upwelling in the area of Monterey Bay. Using 5-km-...

Q. Wang; J. A. Kalogiros; S. R. Ramp; J. D. Paduan; G. Buzorius; H. Jonsson

2011-05-01T23:59:59.000Z

29

Information summary, Area of Concern: Saginaw River and Saginaw Bay. Final report, Aug-Dec 88  

SciTech Connect

A 5-year study and demonstration project, Assessment and Remediation of Contaminated Sediments (ARCS) was authorized, with emphasis on the removal of toxic pollutants from bottom sediments. Information from the ARCS program is to be used to guide the development of Remedial Action Plans (RAPs) for 42 identified great Lakes Areas of Concern (AOC) as well as Lake-wide Management Plans. The AOCs are areas where serious impairment of beneficial uses of water or biota (drinking, swimming, fishing, navigation, etc.) is known to exist, or where environmental quality criteria are exceeded to the point that such impairment is likely. Research was conducted on the various aspects of contaminant mobility in the aquatic environment. A list of information was developed to evaluate the potential for contaminant mobility. This report summarizes the information obtained for the Saginaw River and Saginaw Bay AOC in Michigan. Data tables include information on discharge, volume and migration of contaminants, sediment transport, oil spills, hazardous materials, superfund sites, bioassay data and biological data (i.e. fish, wildlife habitats, plankton, fish and endangered species).

Brandon, D.L.; Lee, C.R.; Simmers, J.W.; Tatem, H.E.; Skogerboe, J.G.

1991-03-01T23:59:59.000Z

30

CONFIRMATORY SURVEY OF THE FUEL OIL TANK AREA HUMBOLDT BAY POWER PLANT EUREKA, CALIFORNIA  

SciTech Connect

During the period of February 14 to 15, 2012, ORISE performed radiological confirmatory survey activities for the former Fuel Oil Tank Area (FOTA) and additional radiological surveys of portions of the Humboldt Bay Power Plant site in Eureka, California. The radiological survey results demonstrate that residual surface soil contamination was not present significantly above background levels within the FOTA. Therefore, it is ORISE’s opinion that the radiological conditions for the FOTA surveyed by ORISE are commensurate with the site release criteria for final status surveys as specified in PG&E’s Characterization Survey Planning Worksheet. In addition, the confirmatory results indicated that the ORISE FOTA survey unit Cs-137 mean concentrations results compared favorably with the PG&E FOTA Cs-137 mean concentration results, as determined by ORISE from the PG&E characterization data. The interlaboratory comparison analyses of the three soil samples analyzed by PG&E’s onsite laboratory and the ORISE laboratory indicated good agreement for the sample results and provided confidence in the PG&E analytical procedures and final status survey soil sample data reporting.

WADE C. ADAMS

2012-04-09T23:59:59.000Z

31

James, Hudson and Ungava bays are summering areas for stocks of beluga  

E-Print Network (OSTI)

are evaluated by aerial survey in their summering areas. The previous, and first, offshore aerial survey to update information on the population. This article reports the results of aerial surveys flown in summer). Abstract--Aerial surveys to estimate the numbers of beluga whales, Delphi- napterus leucas, were flown

32

Development of a Three-Dimensional Meso-? Primitive Equation Model: Katabatic Winds Simulation in the Area of Terra Nova Bay, Antarctica  

Science Conference Proceedings (OSTI)

The spatial evolution of Antarctic katabatic winds in the area of Terra Nova Bay is examined using the three-dimensional version of the Université Catholique de Louvain-Modčle Atmosphérique Régional (UCL-MAR) mesoscale primitive equation models. ...

Hubert Gallée; Guy Schayes

1994-04-01T23:59:59.000Z

33

Studies of the Marine Inversion Over the San Francisco Bay Area … A Summary of the Work of Albert Miller, 1961–1978  

Science Conference Proceedings (OSTI)

During his tenure in the Meteorology Department at San Jose State University (1961–1978), Professor Albert Miller conducted extensive field investigations of the marine inversion over the San Francisco Bay Area. Measurements were made with ...

Peter F. Lester

1985-11-01T23:59:59.000Z

34

Biomass Energy R&D in the San Francisco Bay Area  

DOE Green Energy (OSTI)

Biomass is plant matter such as trees, grasses, agricultural crops or other biological material. It can be used as a solid fuel, or converted into liquid or gaseous forms, for the production of electric power, heat, chemicals, or fuels. There are a number of ways of getting energy from biomass, and a number of factors influence the efficiency of the conversion process. All biomass can be easily combusted. The heat of combustion can be used as heat, or can be used to run gas/steam turbines to produce electricity. However, most biomass combustion processes are inefficient and environmentally non-benign. The main pollutants from direct biomass combustion are tars, particulates, and VOCs. Biodiesels can be made from oils obtained from plants/crops such as soybean, peanuts and cotton. The oils from these sources are mainly triglycerides of fatty acids and not directly suitable as diesel substitutes. Transesterification processes convert the triglycerides into simple esters of the corresponding fatty acids (for example, Fatty Acid Methyl Ester or FAME), which can be directly substitutes for diesel fuels. Starches, sugars and cellulose can be fermented to produce ethanol, which can be added to gasoline, or used directly as an engine fuel. Fermentation of starches and sugars is established technology, practiced for thousands of years. Fermentation of cellulose to make ethanol is relatively harder, requiring additional intermediate steps to hydrolyze the cellulose first by adding acids or by raising temperature. Forestry wastes predominantly comprise cellulose and lignin. Lignin cannot be fermented using the current bio-organisms, and, as mentioned above, even cellulose is difficult to ferment directly. In such cases, a suite of alternative technologies can be employed to convert the biomass into liquid fuels. For example, the biomass can be gasified with the use of air/oxygen and steam, the resultant syngas (mixture of hydrogen and carbon monoxide) can be cleaned to remove tars and particulates, the gas can be shifted to obtain the proper balance between hydrogen and carbon monoxide, and the balanced gas can be converted into either methanol or other hydrocarbons with the use of Fischer-Tropsch catalysts. The liquid fuels thus produced can be transported to the point of use. In addition, they can be reformed to produce hydrogen to drive fuel cells. In addition to agriculture and forestry, a third, and significant, source for biomass is municipal waste. The biomass component of municipal wastes consists mainly of cellulose (paper products and yard wastes) and lignin (yard wastes). This waste can be combusted or gasified, as described above. All the technologies mentioned above are relatively mature, and are being practiced in some form or another. However, there are other technologies that may be promising, yet present significant challenges and may require more work. An example of this is the use of bacteria to use light to decompose water to yield hydrogen.

Upadhye, R

2005-12-07T23:59:59.000Z

35

Number  

Office of Legacy Management (LM)

' ' , /v-i 2 -i 3 -A, This dow'at consists ~f--~-_,_~~~p.~,::, Number -------of.-&--copies, 1 Series.,-a-,-. ! 1 THE UNIVERSITY OF ROCHESTER 1; r-.' L INTRAMURALCORRESPONDENCE i"ks' 3 2.. September 25, 1947 Memo.tor Dr. A. H, Dovdy . From: Dr. H. E, Stokinger Be: Trip Report - Mayvood Chemical Works A trip vas made Nednesday, August 24th vith Messrs. Robert W ilson and George Sprague to the Mayvood Chemical F!orks, Mayvood, New Jersey one of 2 plants in the U.S.A. engaged in the production of thorium compounds. The purpose of the trip vas to: l 1. Learn the type of chemical processes employed in the thorium industry (thorium nitrate). 2. Survey conditions of eeosure of personnel associated vith these chemical processes. 3. Obtain samples of atmospheric contaminants in the plant, as

36

San Diego Bay Bibliography  

E-Print Network (OSTI)

SDGE power plant; bay ABSTRACT: The marine organisms ofMarine Research KEYWORDS: San Diego Bay; programs; bay South Bay PowerMarine Organisms of South San Diego Bay and the Ecological Effects of Power

Brueggeman, Peter

1994-01-01T23:59:59.000Z

37

Corrective action plan for CAU Number 339: Area 12 Fleet Operations, Steam Cleaning Discharge Area, Nevada Test Site  

Science Conference Proceedings (OSTI)

The purpose of this Corrective Action Plan (CAP) is to provide the method for implementing the corrective action alternative as provided in the Corrective Action Decision Document (CADD). Detailed information of the site history and results of previous characterizations can be found in the Work Plan, the Preliminary Investigation Report, and the Phase 2 Characterization Report. Previous characterization investigations were completed as a condition of the Temporary Water Pollution Control Permit issued by the Nevada Division of Environmental Protection (NDEP) on July 14, 1992. The scope of this report is to prepare a CAP based upon the selected remedial alternative for closure of the Area 12, Building 12-16 Fleet Operations steam cleaning discharge area. The effluent discharge area has been impacted by volatile organic compounds (VOCs) and total petroleum hydrocarbons (TPH) as oil. The maximum hydrocarbon and VOC concentrations detected in the Preliminary and Phase 2 Site Characterization Investigations are summarized.

NONE

1997-05-01T23:59:59.000Z

38

Corrective action investigation plan for CAU Number 453: Area 9 Landfill, Tonopah Test Range  

SciTech Connect

This Corrective Action Investigation Plan (CAIP) contains the environmental sample collection objectives and criteria for conducting site investigation activities at the Area 9 Landfill, Corrective Action Unit (CAU) 453/Corrective Action (CAS) 09-55-001-0952, which is located at the Tonopah Test Range (TTR). The TTR, included in the Nellis Air Force Range, is approximately 255 kilometers (140 miles) northwest of Las Vegas, Nevada. The Area 9 Landfill is located northwest of Area 9 on the TTR. The landfill cells associated with CAU 453 were excavated to receive waste generated from the daily operations conducted at Area 9 and from range cleanup which occurred after test activities.

NONE

1997-05-14T23:59:59.000Z

39

Finding of No Significant Impact for the Storage of Tritium-Producing Burnable Absorber Rods in K-Area Transfer Bay at the Savannah River Site (DOE/EA-1528) (06/01/05)  

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

the the Storage of Tritium-Producing Burnable Absorber Rods in K-Area Transfer Bay at the Savannah River Site Agency: U.S. Department of Energy (DOE) Action: Finding of No Significant Impact Summary: The DOE Savannah River Operations Office (SR) and the National Nuclear Security Administration (NNSA) Savannah River Site Office (SRSO) have prepared an environmental assessment (EA), DOE/EA-1528, to evaluate the potential environmental impacts of the temporary dry storage of a cask containing Tritium- Producing Burnable Absorber Rods (TPBARs) in the Transfer Bay in K Area at the Savannah River Site (SRS). Based on the analyses in the EA, DOE has determined that the proposed action is not a major Federal action significantly affecting the quality of the

40

DOE/EA-1528: Environmental Assessment for the Storage of Tritium-Producing Burnable Absorber RODs in K-Area Transfer Bay at the Savannah River Site (6/2/05)  

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

28 28 JUNE 2005 U. S. DEPARTMENT OF ENERGY SAVANNAH RIVER OPERATIONS OFFICE SAVANNAH RIVER SITE ENVIRONMENTAL ASSESSMENT FOR THE STORAGE OF TRITIUM-PRODUCING BURNABLE ABSORBER RODS IN K-AREA TRANSFER BAY AT THE SAVANNAH RIVER SITE DOE/EA-1528 ENVIRONMENTAL ASSESSMENT FOR THE STORAGE OF TRITIUM-PRODUCING BURNABLE ABSORBER RODS IN K-AREA TRANSFER BAY AT THE SAVANNAH RIVER SITE June 2005 U. S. DEPARTMENT OF ENERGY SAVANNAH RIVER OPERATIONS OFFICE SAVANNAH RIVER SITE This page is intentionally left blank ii TABLE OF CONTENTS Page 1.0 INTRODUCTION 1 1.1 Background 1 1.2 Purpose and Need for Action 2 2.0 PROPOSED ACTION AND ALTERNATIVES 2 2.1 Proposed Action 2 2.2 Alternatives to the Proposed Action 3

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


41

RESOURCE CHARACTERIZATION AND QUANTIFICATION OF NATURAL GAS-HYDRATE AND ASSOCIATED FREE-GAS ACCUMULATIONS IN THE PRUDHOE BAY - KUPARUK RIVER AREA ON THE NORTH SLOPE OF ALASKA  

SciTech Connect

Interim results are presented from the project designed to characterize, quantify, and determine the commercial feasibility of Alaska North Slope (ANS) gas-hydrate and associated free-gas resources in the Prudhoe Bay Unit (PBU), Kuparuk River Unit (KRU), and Milne Point Unit (MPU) areas. This collaborative research will provide practical input to reservoir and economic models, determine the technical feasibility of gas hydrate production, and influence future exploration and field extension of this potential ANS resource. The large magnitude of unconventional in-place gas (40-100 TCF) and conventional ANS gas commercialization evaluation creates industry-DOE alignment to assess this potential resource. This region uniquely combines known gas hydrate presence and existing production infrastructure. Many technical, economical, environmental, and safety issues require resolution before enabling gas hydrate commercial production. Gas hydrate energy resource potential has been studied for nearly three decades. However, this knowledge has not been applied to practical ANS gas hydrate resource development. ANS gas hydrate and associated free gas reservoirs are being studied to determine reservoir extent, stratigraphy, structure, continuity, quality, variability, and geophysical and petrophysical property distribution. Phase 1 will characterize reservoirs, lead to recoverable reserve and commercial potential estimates, and define procedures for gas hydrate drilling, data acquisition, completion, and production. Phases 2 and 3 will integrate well, core, log, and long-term production test data from additional wells, if justified by results from prior phases. The project could lead to future ANS gas hydrate pilot development. This project will help solve technical and economic issues to enable government and industry to make informed decisions regarding future commercialization of unconventional gas-hydrate resources.

Robert Hunter; Shirish Patil; Robert Casavant; Tim Collett

2003-06-02T23:59:59.000Z

42

Increase in Number of Days with Heavy Precipitation in Tokyo Urban Area  

Science Conference Proceedings (OSTI)

Analysis of daily precipitation in August from 1954 to 1976 shows a recent trend for urban areas of Tokyo to have heavier precipitation than the suburbs, although one would not expect such a situation when it is dry and the total monthly ...

Tsuneharu Yonetani

1982-10-01T23:59:59.000Z

43

Bay Area ATIS Testbed Plan  

E-Print Network (OSTI)

P.M. -VAR. 3. TOS W-80, P.MdW8.9 (STIP TSM PROJ) 4. SCL -VAR. is0224 w 88STIP MINOR A STIP 90/91TSM 90/9lTSM 9Ot9lTSM

Khattak, Asad; Al-deek, Haitham; Yim, Youngbin; Hall, Randolph

1992-01-01T23:59:59.000Z

44

New and Underutilized Technology: Efficient High Bay Fluorescent Lighting |  

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

Efficient High Bay Fluorescent Efficient High Bay Fluorescent Lighting New and Underutilized Technology: Efficient High Bay Fluorescent Lighting October 7, 2013 - 8:54am Addthis The following information outlines key deployment considerations for efficient high bay fluorescent lighting within the Federal sector. Benefits Efficient high bay fluorescent lighting can include either T5 or T8 fluorescent lighting systems for high-bay applications currently using metal halide fixtures. Fluorescent fixtures offer better light distribution, better light maintenance over the life of the lamp, improved color quality, and on-off control (re-strike time) with lower energy consumption. Application Efficient high bay fluorescent lighting is applicable for facilities containing high bay areas. Key Factors for Deployment

45

DOE - Office of Legacy Management -- W R Grace Co - Curtis Bay...  

Office of Legacy Management (LM)

Curtis Bay Plant Waste Disposal Area; October 5, 1978 MD.01-5 - ECT Follow-Up Report; An Aerial Radiological Survey of the Curtis Bay Facility of the W. R. Grace Company; November...

46

Bay County, Florida ASHRAE 169-2006 Climate Zone | Open Energy...  

Open Energy Info (EERE)

Bay County, Florida ASHRAE 169-2006 Climate Zone Jump to: navigation, search County Climate Zone Place Bay County, Florida ASHRAE Standard ASHRAE 169-2006 Climate Zone Number...

47

Felton Bay Logistics, LLC | Open Energy Information  

Open Energy Info (EERE)

Felton Bay Logistics, LLC Felton Bay Logistics, LLC Jump to: navigation, search Logo: Felton Bay Logistics, LLC Name Felton Bay Logistics, LLC Place San Diego Zip 92115 Sector Services Product Strategies for Sustainability Year founded 2010 Number of employees 1-10 Website http://www.feltonbay.com Coordinates 32.7612759°, -117.0735241° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":32.7612759,"lon":-117.0735241,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

48

Resource Characterization and Quantification of Natural Gas-Hydrate and Associated Free-Gas Accumulations in the Prudhoe Bay - Kuparuk River Area on the North Slope of Alaska  

SciTech Connect

Natural gas hydrates have long been considered a nuisance by the petroleum industry. Hydrates have been hazards to drilling crews, with blowouts a common occurrence if not properly accounted for in drilling plans. In gas pipelines, hydrates have formed plugs if gas was not properly dehydrated. Removing these plugs has been an expensive and time-consuming process. Recently, however, due to the geologic evidence indicating that in situ hydrates could potentially be a vast energy resource of the future, research efforts have been undertaken to explore how natural gas from hydrates might be produced. This study investigates the relative permeability of methane and brine in hydrate-bearing Alaska North Slope core samples. In February 2007, core samples were taken from the Mt. Elbert site situated between the Prudhoe Bay and Kuparuk oil fields on the Alaska North Slope. Core plugs from those core samples have been used as a platform to form hydrates and perform unsteady-steady-state displacement relative permeability experiments. The absolute permeability of Mt. Elbert core samples determined by Omni Labs was also validated as part of this study. Data taken with experimental apparatuses at the University of Alaska Fairbanks, ConocoPhillips laboratories at the Bartlesville Technology Center, and at the Arctic Slope Regional Corporation's facilities in Anchorage, Alaska, provided the basis for this study. This study finds that many difficulties inhibit the ability to obtain relative permeability data in porous media-containing hydrates. Difficulties include handling unconsolidated cores during initial core preparation work, forming hydrates in the core in such a way that promotes flow of both brine and methane, and obtaining simultaneous two-phase flow of brine and methane necessary to quantify relative permeability using unsteady-steady-state displacement methods.

Shirish Patil; Abhijit Dandekar

2008-12-31T23:59:59.000Z

49

Sonar imaging of bay bottom sediments and anthropogenic impacts in Galveston Bay, Texas  

E-Print Network (OSTI)

Knowledge of surface sediment distribution in Galveston Bay is important because it allows us to better understand how the bay works and how human activities impact the bay and its ecosystems. In this project, six areas of bay bottom were surveyed using acoustic techniques to make maps of bay bottom types and to investigate the types and extent of anthropogenic impacts. A total of 31 km2 was surveyed in six areas, one in Bolivar Roads (6.1 km2), one near Redfish Bar (3.1 km2), two in East Bay (12 km2), one southeast of the Clear Lake entrance (5.3 km2), and one in Trinity Bay (4.3 km2). Sidescan sonars (100 kHz and 600 kHz) were used to image the bay bottom, and a chirp sonar (2-12 kHz) was used to image subsurface sediment layers and bottom topography. In the side-scan records, objects as small as a few meters in extent were visible, whereas the chirp sonar records show a vertical resolution of a few tens of centimeters. The sidescan images display strong backscatter in some areas due to coarse sediments in addition to weak backscatter in areas of fine sediment. The bay bottom was classified using three levels of sonar backscatter ranging from high to low. Areas of differing sonar backscatter intensity were sampled with cores and grab-samples. High backscatter corresponded to coarse shell debris and oyster reefs, medium backscatter corresponded to a sand-silt-shell mixture, and low backscatter corresponded to silty loam. Chirp sonar records were classified as one of nine different bottom reflection types based on changes in amplitude and stratigraphy. Parallel, layered sediments are seen filling the bay valley and resting atop a sharp contact at which the acoustic signal fades out. Along the flanks of the valley fill the acoustic response revealed an absent or weakly laminated stratigraphy, whereas areas of high oyster productivity produced mounds, strong surface returns, and strong, shallow subsurface reflectors surrounding current oyster reefs. Anthropogenic features imaged with the sonar included sediment disruptions, such as the ship channels, dredge holes, gouges, and trawl marks, as well as debris, such as submerged boats, pipes, and unidentified objects.

Maddox, Donald Shea

2005-12-01T23:59:59.000Z

50

AREA  

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

AREA AREA FAQ # Question Response 316 vs DCAA FAQ 1 An inquiry from CH about an SBIR recipient asking if a DCAA audit is sufficient to comply with the regulation or if they need to add this to their audit they have performed yearly by a public accounting firm. 316 audits are essentially A-133 audits for for-profit entities. They DO NOT replace DCAA or other audits requested by DOE to look at indirect rates or incurred costs or closeouts. DCAA would never agree to perform A-133 or our 316 audits. They don't do A-133 audits for DOD awardees. The purpose of the audits are different, look at different things and in the few instances of overlap, from different perspectives. 316

51

Investigation of geothermal potential in the Waianae Caldera Area, Western Oahu, Hawaii. Assessment of Geothermal Resources in Hawaii: Number 2  

DOE Green Energy (OSTI)

Studies of Lualualei Valley, Oahu have been conducted to determine whether a thermal anomaly exists in the area and, if so, to identify sites at which subsurface techniques should be utilized to characterize the resource. Geologic mapping identifies several caldera and rift zone structures in the Valley and provides a tentative outline of their boundaries. Clay mineralogy studies indicate that minor geothermal alteration of near-surface rocks has occurred at some period in the history of the area. Schlumberger resistivity soundings indicate the presence of a low resistivity layer beneath the valley floor, which has been tentatively attributed to warm water-saturated basalt. Soil and groundwater chemistry studies outline several geochemical anomalies around the perimeter and within the inferred caldera boundaries. The observed anomalies strongly suggest a subsurface heat source. Recommendations for further exploratory work to confirm the presence of a geothermal reservoir include more intensive surveys in a few selected areas of the valley as well as the drilling of at least three shallow (1000-m) holes for subsurface geochemical, geological and geophysical studies.

Cox, M.E.; Sinton, J.M.; Thomas, D.M.; Mattice, M.D.; Kauahikaua, J.P.; Helstern, D.M.; Fan, P.

1979-09-01T23:59:59.000Z

52

Reducing methylmercury accumulation in the food webs of San Francisco Bay and its local watersheds  

Science Conference Proceedings (OSTI)

San Francisco Bay (California, USA) and its local watersheds present an interesting case study in estuarine mercury (Hg) contamination. This review focuses on the most promising avenues for attempting to reduce methylmercury (MeHg) contamination in Bay Area aquatic food webs and identifying the scientific information that is most urgently needed to support these efforts. Concern for human exposure to MeHg in the region has led to advisories for consumption of sport fish. Striped bass from the Bay have the highest average Hg concentration measured for this species in USA estuaries, and this degree of contamination has been constant for the past 40 years. Similarly, largemouth bass in some Bay Area reservoirs have some of the highest Hg concentrations observed in the entire US. Bay Area wildlife, particularly birds, face potential impacts to reproduction based on Hg concentrations in the tissues of several Bay species. Source control of Hg is one of the primary possible approaches for reducing MeHg accumulation in Bay Area aquatic food webs. Recent findings (particularly Hg isotope measurements) indicate that the decades-long residence time of particle-associated Hg in the Bay is sufficient to allow significant conversion of even the insoluble forms of Hg into MeHg. Past inputs have been thoroughly mixed throughout this shallow and dynamic estuary. The large pool of Hg already present in the ecosystem dominates the fraction converted to MeHg and accumulating in the food web. Consequently, decreasing external Hg inputs can be expected to reduce MeHg in the food web, but it will likely take many decades to centuries before those reductions are achieved. Extensive efforts to reduce loads from the largest Hg mining source (the historic New Almaden mining district) are underway. Hg is spread widely across the urban landscape, but there are a number of key sources, source areas, and pathways that provide opportunities to capture larger quantities of Hg and reduce loads from urban runoff. Atmospheric deposition is a lower priority for source control in the Bay Area due to a combination of a lack of major local sources. Internal net production of MeHg is the dominant source of MeHg that enters the food web. Controlling internal net production is the second primary management approach, and has the potential to reduce food web MeHg in some habitats more effectively and within a much shorter time-frame. Controlling net MeHg production and accumulation in the food web of upstream reservoirs and ponds is very promising due to the many features of these ecosystems that can be manipulated. The most feasible control options in tidal marshes relate to the design of flow patterns and subhabitats in restoration projects. Options for controlling MeHg production in open Bay habitat are limited due primarily to the highly dispersed distribution of Hg throughout the ecosystem. Other changes in these habitats may also have a large influence on food web MeHg, including temperature changes due to global warming, sea level rise, food web alterations due to introduced species and other causes, and changes in sediment supply. Other options for reducing or mitigating exposure and risk include controlling bioaccumulation, cleanup of contaminated sites, and reducing other factors (e.g., habitat availability) that limit at-risk wildlife populations.

Davis, J.A., E-mail: jay@sfei.org [San Francisco Estuary Institute, 4911 Central Avenue, Richmond, CA 94804 (United States); Looker, R.E. [San Francisco Bay Regional Water Quality Control Board, 1515 Clay Street, Suite 1400, Oakland, CA 94612 (United States)] [San Francisco Bay Regional Water Quality Control Board, 1515 Clay Street, Suite 1400, Oakland, CA 94612 (United States); Yee, D. [San Francisco Estuary Institute, 4911 Central Avenue, Richmond, CA 94804 (United States)] [San Francisco Estuary Institute, 4911 Central Avenue, Richmond, CA 94804 (United States); Marvin-Di Pasquale, M. [U.S. Geological Survey, Water Resources Division/MS 480, 345 Middlefield Road, Menlo Park, CA 94025 (United States)] [U.S. Geological Survey, Water Resources Division/MS 480, 345 Middlefield Road, Menlo Park, CA 94025 (United States); Grenier, J.L. [San Francisco Estuary Institute, 4911 Central Avenue, Richmond, CA 94804 (United States)] [San Francisco Estuary Institute, 4911 Central Avenue, Richmond, CA 94804 (United States); Austin, C.M. [San Francisco Bay Regional Water Quality Control Board, 1515 Clay Street, Suite 1400, Oakland, CA 94612 (United States)] [San Francisco Bay Regional Water Quality Control Board, 1515 Clay Street, Suite 1400, Oakland, CA 94612 (United States); McKee, L.J.; Greenfield, B.K. [San Francisco Estuary Institute, 4911 Central Avenue, Richmond, CA 94804 (United States)] [San Francisco Estuary Institute, 4911 Central Avenue, Richmond, CA 94804 (United States); Brodberg, R. [California Office of Environmental Health Hazard Assessment, California Environmental Protection Agency, 1001 I Street, Sacramento, CA 95812 (United States)] [California Office of Environmental Health Hazard Assessment, California Environmental Protection Agency, 1001 I Street, Sacramento, CA 95812 (United States); Blum, J.D. [Department of Geological Sciences, University of Michigan, 1100 North University Avenue, Ann Arbor, MI 48109 (United States)] [Department of Geological Sciences, University of Michigan, 1100 North University Avenue, Ann Arbor, MI 48109 (United States)

2012-11-15T23:59:59.000Z

53

Bay Area Incubators 01-24-13  

California, San Francisco QB3 MC: 2522 1700 4th Street, Byers Hall, Suite 214 San Francisco, CA 94158-2330 (415) 514-9790 (415) 514-0265 kaspar.mossman@ qb3.org

54

Bay Area Compliance Laboratories Corp.(Dongguan)  

Science Conference Proceedings (OSTI)

... Service Devices - and - Measurement Procedure Update for Peak Transmit Power. ... Safety - Part 2-102: Particular requirements for gas, oil and solid ...

2014-01-03T23:59:59.000Z

55

ARRA Proposed Award: Retrofit Bay Area  

E-Print Network (OSTI)

Climate Protection Authority Partnering Clean Energy Workforce Training Program: California Building; residential training and certification will conform to the national Home Performance with Energy Star Program of homeowner incentives, including utility rebates. Marketing and outreach messaging will promote Tier 3 whole

56

Bay Area Compliance Laboratories Corp. (Shenzhen)  

Science Conference Proceedings (OSTI)

... ENERGY STAR. ... Part 2-45: Particular requirements for portable heating tools and ... [12/6335nb] AS/NZS 60335.2.40:2006 Household and similar ...

2013-08-30T23:59:59.000Z

57

Bay Area Compliance Laboratories Corp. (Shenzhen)  

Science Conference Proceedings (OSTI)

... [12/UL8750] UL 8750 The Standard for Safety of Light Emitting Diode (LED) Equipment for Use In Lighting Products. [Z200707-P1] Exclusions. ...

2014-01-03T23:59:59.000Z

58

Climate Zone Number 7 | Open Energy Information  

Open Energy Info (EERE)

Climate Zone Number 7 Climate Zone Number 7 Jump to: navigation, search A type of climate defined in the ASHRAE 169-2006 standard. Climate Zone Number 7 is defined as Very Cold with IP Units 9000 < HDD65ºF ≤ 12600 and SI Units 5000 < HDD18ºC ≤ 7000 . The following places are categorized as class 7 climate zones: Aitkin County, Minnesota Aleutians East Borough, Alaska Aleutians West Census Area, Alaska Anchorage Borough, Alaska Aroostook County, Maine Ashland County, Wisconsin Baraga County, Michigan Barnes County, North Dakota Bayfield County, Wisconsin Becker County, Minnesota Beltrami County, Minnesota Benson County, North Dakota Bottineau County, North Dakota Bristol Bay Borough, Alaska Burke County, North Dakota Burnett County, Wisconsin Carlton County, Minnesota Cass County, Minnesota

59

Chesapeake Bay Program Water Quality Database | Data.gov  

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

Chesapeake Bay Program Water Quality Database Chesapeake Bay Program Water Quality Database Ocean Data Tools Technical Guide Map Gallery Regional Planning Feedback Ocean You are here Data.gov » Communities » Ocean » Data Chesapeake Bay Program Water Quality Database Dataset Summary Description The Chesapeake Information Management System (CIMS), designed in 1996, is an integrated, accessible information management system for the Chesapeake Bay Region. CIMS is an organized, distributed library of information and software tools designed to increase basin-wide public access to Chesapeake Bay information. The information delivered by CIMS includes technical and public information, educational material, environmental indicators, policy documents, and scientific data. Through the use of relational databases, web-based programming, and web-based GIS a large number of Internet resources have been established. These resources include multiple distributed on-line databases, on-demand graphing and mapping of environmental data, and geographic searching tools for environmental information. Baseline monitoring data, summarized data and environmental indicators that document ecosystem status and trends, confirm linkages between water quality, habitat quality and abundance, and the distribution and integrity of biological populations are also available. One of the major features of the CIMS network is the Chesapeake Bay Program's Data Hub, providing users access to a suite of long- term water quality and living resources databases. Chesapeake Bay mainstem and tidal tributary water quality, benthic macroinvertebrates, toxics, plankton, and fluorescence data can be obtained for a network of over 800 monitoring stations.

60

Authorized Limits for the Release of a 25 Ton Locomotive, Serial Number 21547, at the Area 25 Engine Maintenance, Assembly, and Disassembly Facility, Nevada Test Site, Nevada  

SciTech Connect

This document contains process knowledge and radiological data and analysis to support approval for release of the 25-ton locomotive, Serial Number 21547, at the Area 25 Engine Maintenance, Assembly, and Disassembly (EMAD) Facility, located on the Nevada Test Site (NTS). The 25-ton locomotive is a small, one-of-a-kind locomotive used to move railcars in support of the Nuclear Engine for Rocket Vehicle Application project. This locomotive was identified as having significant historical value by the Nevada State Railroad Museum in Boulder City, Nevada, where it will be used as a display piece. A substantial effort to characterize the radiological conditions of the locomotive was undertaken by the NTS Management and Operations Contractor, National Security Technologies, LLC (NSTec). During this characterization process, seven small areas on the locomotive had contamination levels that exceeded the NTS release criteria (limits consistent with U.S. Department of Energy [DOE] Order DOE O 5400.5, “Radiation Protection of the Public and the Environment”). The decision was made to perform radiological decontamination of these known accessible impacted areas to further the release process. On February 9, 2010, NSTec personnel completed decontamination of these seven areas to within the NTS release criteria. Although all accessible areas of the locomotive had been successfully decontaminated to within NTS release criteria, it was plausible that inaccessible areas of the locomotive (i.e., those areas on the locomotive where it was not possible to perform radiological surveys) could potentially have contamination above unrestricted release limits. To access the majority of these inaccessible areas, the locomotive would have to be disassembled. A complete disassembly for a full radiological survey could have permanently destroyed parts and would have ruined the historical value of the locomotive. Complete disassembly would also add an unreasonable financial burden for the contractor. A decision was reached between the NTS regulator and NSTec, opting for alternative authorized limits from DOE Headquarters. In doing so, NSTec personnel performed a dose model using the DOE-approved modeling code RESRAD-BUILD v3.5 to evaluate scenarios. The parameters used in the dose model were conservative. NSTec’s Radiological Engineering Calculation, REC-2010-001, “Public Dose Estimate from the EMAD 25 Ton Locomotive,” concluded that the four scenarios evaluated were below the 25-millirem per year limit, the “likely” dose scenarios met the “few millirem in a year” criteria, and that the EMAD 25-ton locomotive met the radiological requirements to be released with residual radioactivity to the public.

Jeremy Gwin and Douglas Frenette

2010-04-08T23:59:59.000Z

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


61

Area 2 Photo Skid Wastewater Pit corrective action decision document Corrective Action Unit Number 332: Part 1, and Closure report: Part 2  

SciTech Connect

The Area 2 Photo Skid Wastewater Pit, Corrective Action Site (CAS) Number 02-42-03, the only CAS in Corrective Action Unit (CAU) Number 332, has been identified as a source of unquantified, uncontrolled, and unpermitted wastewater discharge. The Photo Skid was used for photographic processing of film for projects related to weapons testing, using Kodak RA4 and GPX film processing facilities for black and white and color photographs. The CAU is located in Area 2 of the Nevada Test Site, Nye County, Nevada. The CAS consists of one unlined pit which received discharged photographic process wastewater from 1984 to 1991. The Corrective Action Decision Document (CADD) and the Closure Report (CR) have been developed to meet the requirements of the Federal Facility Agreement and Consent Order (FFACO, 1996). The CADD and the CR for this CAS have been combined because sample data collected during the site investigation do not exceed regulatory limits established during the Data Quality Objectives (DQO) process. The purpose of the CADD and the CR is to justify why no corrective action is necessary at the CAU based on process knowledge and the results of the corrective action investigation and to request closure of the CAU. This document contains Part 1 of the CADD and Part 2 of the CR.

NONE

1997-06-20T23:59:59.000Z

62

Construction Project Number  

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

North Execution - (2009 - 2011) North Execution - (2009 - 2011) Construction Project Number 2009 2010 2011 Project Description ANMLPL 0001C 76,675.32 - - Animas-Laplata circuit breaker and power rights CRGRFL 0001C - - 7,177.09 Craig Rifle Bay and transfer bay upgrade to 2000 amps; / Convert CRG RFL to 345 kV out of Bears Ear Sub FGE 0019C - - 39,207.86 Replace 69/25kV transformer KX2A at Flaming Gorge FGE 0020C - - 52,097.12 Flaming Gorge: Replace failed KW2A transformer HDN 0069C 16,638.52 208,893.46 3,704,578.33 Replace failed transformer with KZ1A 250 MVA 230/138kv

63

Bay Biodiesel LLC | Open Energy Information  

Open Energy Info (EERE)

LLC Jump to: navigation, search Name Bay Biodiesel LLC Place Martinez, California Zip 94553 Product Biodiesel producers in Martinez, California. References Bay Biodiesel LLC1...

64

Number | Open Energy Information  

Open Energy Info (EERE)

Number Number Jump to: navigation, search Properties of type "Number" Showing 200 properties using this type. (previous 200) (next 200) A Property:AvgAnnlGrossOpCpcty Property:AvgTempGeoFluidIntoPlant Property:AvgWellDepth B Property:Building/FloorAreaChurchesChapels Property:Building/FloorAreaGroceryShops Property:Building/FloorAreaHealthServices24hr Property:Building/FloorAreaHealthServicesDaytime Property:Building/FloorAreaHeatedGarages Property:Building/FloorAreaHotels Property:Building/FloorAreaMiscellaneous Property:Building/FloorAreaOffices Property:Building/FloorAreaOtherRetail Property:Building/FloorAreaResidential Property:Building/FloorAreaRestaurants Property:Building/FloorAreaSchoolsChildDayCare Property:Building/FloorAreaShops Property:Building/FloorAreaSportCenters

65

Vermilion Bay | Open Energy Information  

Open Energy Info (EERE)

Vermilion Bay Vermilion Bay Jump to: navigation, search Name Vermilion Bay Facility Vermilion Bay Sector Wind energy Facility Type Offshore Wind Facility Status Proposed Owner Coastal Point Energy LLC Developer Coastal Point Energy LLC Location Gulf of Mexico LA Coordinates 29.741°, -92.057° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":29.741,"lon":-92.057,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

66

Photo of the Week: The Daya Bay Antineutrino Detector | Department of  

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

Photo of the Week: The Daya Bay Antineutrino Detector Photo of the Week: The Daya Bay Antineutrino Detector Photo of the Week: The Daya Bay Antineutrino Detector September 7, 2012 - 3:07pm Addthis While they might look like drops of water or soap bubbles, these colorful figures are actually photomultiplier tubes that line the walls of the Daya Bay neutrino detector. Neutrinos and antineutrinos are neutral particles produced in nuclear beta decay when neutrons turn into protons. This experiment aims to measure the final unknown mixing angle that describes how neutrinos oscillate. The tubes are designed to amplify and record the faint flashes of light that signify an antineutrino interaction. Lawrence Berkeley and Brookhaven National Labs and a number of physicists at U.S. universities played leading roles in the Daya Bay experiment, from designing the detectors all the way through to analyzing the data gathered. | Photo by Roy Kaltschmidt, LBNL.

67

St.Margarets Bay Halifax Harbour  

E-Print Network (OSTI)

St.Margarets Bay Queensland Beach Bayers Lake Bedford Basin Halifax Harbour Crystal Crescent Beach Mushaboom Harbour Ship Harbour Taylor Head ATLANTIC OCEAN Dollar Lake Musquodoboit River Lake Charlotte Shad Bay Whites Lake Terence Bay Prospect Pennant Pt Herring Cove Purcells Cove 349 306 Fall River

Beaumont, Christopher

68

Daya Bay Reactor Neutrino Project at NERSC  

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

Daya Bay Reactor Neutrino Daya Bay Reactor Neutrino Experiment Daya Bay Reactor Neutrino Experiment Daya Bay is an international neutrino-oscillation experiment designed to determine the last unknown neutrino mixing angle θ13 using anti-neutrinos produced by the Daya Bay and Ling Ao Nuclear Power Plant reactors. The experiment is being built by blasting three kilometers of tunnel through the granite rock under the mountains where the power plants are located. Data collection is now scheduled to start in in 2011. On the PDSF cluster at NERSC, Daya Bay performs simulations of the detectors, reactors, and surrounding mountains to help design and anticipate detector properties and behavior. Once real data are available, Daya Bay will be using NERSC to analyze data and NERSC HPSS will be the central U.S. repository for all raw

69

Performance analysis and optimization of the Prudhoe Bay miscible-gas project  

SciTech Connect

Because EOR oil response at Prudhoe Bay has been difficult to measure directly, a number of different types of field measurements have been made to evaluate the miscible-flood displacement efficiency. These measurements include water- and solvent-injection profiles, logging data from an observation well, and single-well tracer test (SWTT) data. Despite ambiguity in these data, the measurements support the simulation nd laboratory data and generally indicate that the Prudhoe Bay Miscible Gas Project (PBMGP) is performing well. The most useful EOR surveillance data have been the separator-gas-sample database, with {approx} 4,000 compositional analyses. Separator flash analysis and allocation programs use this data-base to infer EOR performance on the basis of produced solvent. Reservoir mechanisms that adversely affect the EOR process efficiency have been identified. The project has exceeded initial expectations in terms of solvent retained within the reservoir, which has favorable implications for solvent sweep efficiency. Procedures have been developed to use the field and simulation data to determine how the solvent should be allocated to the existing patterns and when the project should be expanded into new areas. these procedures are designed to maximize the value of the PBMGP.

McGuire, P.L. [Arco Alaska Inc., Prudhoe Bay, AK (United States); Stalkuup, F.I

1995-05-01T23:59:59.000Z

70

An Improved Measurement of Electron Antineutrino Disappearance at Daya Bay  

E-Print Network (OSTI)

The theory of neutrino oscillations explains changes in neutrino flavor, count rates, and spectra from solar, atmospheric, accelerator, and reactor neutrinos. These oscillations are characterized by three mixing angles and two mass-squared differences. The solar mixing angle, {\\theta}_12, and the atmospheric mixing angle, {\\theta}_23, have been well measured, but until recently the neutrino mixing angle {\\theta}_13 was not well known. The Daya Bay experiment, located northeast of Hong Kong at the Guangdong Nuclear Power Complex in China, has made a precise measurement of electron antineutrino disappearance using six functionally-identical gadolinium-doped liquid scintillator-based detectors at three sites with distances between 364 and 1900 meters from six reactor cores. This proceeding describes the Daya Bay updated result, using 127 days of good run time collected between December 24, 2011 and May 11, 2012. For the far site, the ratio of the observed number of events to the expected number of events assumin...

Webber, David M

2012-01-01T23:59:59.000Z

71

Berkeley Lab / Richmond Bay Campus  

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

Second Campus Second Campus Long Range Development Plan Environmental Docs Department of Energy NEPA Environmental Documents Frequently Asked Questions (FAQ) Timeline Community Meetings Selection Process Contacts The Science The University of California, Berkeley and the University of California at the Lawrence Berkeley National Laboratory propose to establish a new research campus - the Richmond Bay Campus - in Richmond, California. The purpose of the proposed campus is to build upon the University of California's record of accomplishment in providing long-term societal benefits through discovery and the advancement of knowledge. UC Berkeley and Lawrence Berkeley National Laboratory's goals for the Richmond Bay Campus are: Advance LBNL and UC Berkeley's tradition of world class science by

72

Regulating new construction in historic areas  

E-Print Network (OSTI)

This study is an examination of how the restrictiveness of different design regulations impacts the process of new construction in historic areas. The North End, South End, and Back Bay neighborhoods of Boston were identified ...

Sellers-Garcia, Oliver

2006-01-01T23:59:59.000Z

73

Thermal Waters Along The Konocti Bay Fault Zone, Lake County, California- A  

Open Energy Info (EERE)

Waters Along The Konocti Bay Fault Zone, Lake County, California- A Waters Along The Konocti Bay Fault Zone, Lake County, California- A Re-Evaluation Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Journal Article: Thermal Waters Along The Konocti Bay Fault Zone, Lake County, California- A Re-Evaluation Details Activities (3) Areas (1) Regions (0) Abstract: The Konocti Bay fault zone (KBFZ), initially regarded by some as a promising target for liquid-dominated geothermal systems, has been a disappointment. At least five exploratory wells were drilled in the vicinity of the KBFZ, but none were successful. Although the Na-K-Ca and Na-Li geothermometers indicate that the thermal waters discharging in the vicinity of Howard and Seigler Springs may have equilibrated at temperatures greater than 200°C, the spring temperatures and fluid

74

Using Bayes' Theorem for Free Energy Calculations.  

E-Print Network (OSTI)

??Statistical mechanics is fundamentally based on calculating the probabilities of molecular-scaleevents. Although Bayes’ theorem has generally been recognized as providing key guiding principals for setup… (more)

Rogers, David M.

2009-01-01T23:59:59.000Z

75

Changes related to "Chesapeake Bay Test Site" | Open Energy Informatio...  

Open Energy Info (EERE)

Share this page on Facebook icon Twitter icon Changes related to "Chesapeake Bay Test Site" Chesapeake Bay Test Site Jump to: navigation, search This is a list of...

76

Status of the Daya Bay Reactor Neutrino Oscillation Experiment  

E-Print Network (OSTI)

Status of the Daya Bay Reactor Neutrino OscillationCheng-Ju Lin The Daya Bay reactor neutrino experiment [1] isneutrinos from the nuclear reactors at different baselines.

Lin, Cheng-Ju Stephen

2011-01-01T23:59:59.000Z

77

Estimating the Housing Infill Capacity of the Bay Area  

E-Print Network (OSTI)

of 64,000 housing units between 2000 and 2020. Promotingbetween 2000 and 2020, the demand for housing in Sonomahousing in Marin County will increase by about 9,000 units between 2000 and 2020.

Sandoval, Juan Onesimo; Landis, John D.

2000-01-01T23:59:59.000Z

78

Discussions@TMS - Hands On Bay Area Community Service Project  

Science Conference Proceedings (OSTI)

Jan 5, 2009 ... On Saturday, February 14, volunteers will work together to build raised garden beds, plant seedlings, weed or turn compost bins, and lay wood ...

79

Lab engineer brings science and technology to Bay Area youth  

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

mentors students in science and technology, including computational science, robotics and additive manufacturing (AKA 3D printing), and helps teachers learn about these...

80

Zero Emission Bay Area (ZEBA) Fuel Cell Bus Demonstration: First...  

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

hp horsepower HVAC heating, ventilation, and air conditioning in. inches kg kilograms kW kilowatts lb pounds MBRC miles between roadcalls mpDGE miles per diesel gallon...

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


81

Bay Area Simulation and Ramp Metering Study - Year 2 Report  

E-Print Network (OSTI)

ALINEA Local Ramp Metering: Summary of Field Results.Document for Advanced Ramp Metering Algorithms. Universityfor the ALINEA Ramp Metering Control. University of

Gardes, Yonnel; Kim, Amy; May, Dolf

2003-01-01T23:59:59.000Z

82

Category:Green Bay, WI | Open Energy Information  

Open Energy Info (EERE)

WI WI Jump to: navigation, search Go Back to PV Economics By Location Media in category "Green Bay, WI" The following 16 files are in this category, out of 16 total. SVFullServiceRestaurant Green Bay WI Wisconsin Electric Power Co.png SVFullServiceRestauran... 79 KB SVQuickServiceRestaurant Green Bay WI Wisconsin Electric Power Co.png SVQuickServiceRestaura... 79 KB SVHospital Green Bay WI Wisconsin Electric Power Co.png SVHospital Green Bay W... 79 KB SVLargeHotel Green Bay WI Wisconsin Electric Power Co.png SVLargeHotel Green Bay... 78 KB SVLargeOffice Green Bay WI Wisconsin Electric Power Co.png SVLargeOffice Green Ba... 90 KB SVMediumOffice Green Bay WI Wisconsin Electric Power Co.png SVMediumOffice Green B... 78 KB SVMidriseApartment Green Bay WI Wisconsin Electric Power Co.png

83

Tuscola Bay Wind | Open Energy Information  

Open Energy Info (EERE)

Tuscola Bay Wind Tuscola Bay Wind Jump to: navigation, search Name Tuscola Bay Wind Facility Tuscola Bay Wind Sector Wind energy Facility Type Commercial Scale Wind Facility Status In Service Owner NextEra Energy Resources Developer NextEra Energy Resources Energy Purchaser Detroit Edison Location Fairgrove MI Coordinates 43.52596°, -83.653106° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":43.52596,"lon":-83.653106,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

84

Chesapeake Bay Test Site | Open Energy Information  

Open Energy Info (EERE)

Chesapeake Bay Test Site Chesapeake Bay Test Site Jump to: navigation, search Name Chesapeake Bay Test Site Facility Chesapeake Bay Test Site Sector Wind energy Facility Type Offshore Wind Facility Status Proposed Owner Gamesa and Newport News Energy Developer Gamesa and Newport News Energy Location Atlantic Ocean VA Coordinates 37.243°, -76.062° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":37.243,"lon":-76.062,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

85

Wakasa Bay: An AMSR Precipitation Validation Campaign  

Science Conference Proceedings (OSTI)

The “Wakasa Bay Experiment” was conducted in order to refine error models for oceanic precipitation from the Advanced Microwave Sounding Radiometer-Earth Observing System (AMSR-E) measurements and to develop algorithms for snowfall. The NASA P-3 ...

Elena S. Lobl; Kazumasa Aonashi; Masataka Murakami; Brian Griffith; Christian Kummerow; Guosheng Liu; Thomas Wilheit

2007-04-01T23:59:59.000Z

86

Deep Currents in the Bay of Campeche  

Science Conference Proceedings (OSTI)

Data from five moorings deployed in the Bay of Campeche during November 2007–July 2008 are used to analyze subinertial motions of waters below 1000-m depth. To the authors’ knowledge, this is the first time such a comprehensive observational ...

Nicolas Kolodziejczyk; José Ochoa; Julio Candela; Julio Sheinbaum

2011-10-01T23:59:59.000Z

87

Record of Technical Change {number_sign}1 for ''Corrective Action Investigation Plan for Corrective Action Unit 406: Area 3 Building 03-74 and Building 03-58 Underground Discharge Points and Corrective Action Unit 429: Area 3 Building 03-55 and Area 9 Building 09-52 Underground Discharge Points, Tonopah Test Range, Nevada'' Revision 0  

Science Conference Proceedings (OSTI)

This Record of Technical Change provides updates to the technical information included in ''Corrective Action Investigation Plan for Corrective Action Unit 406: Area 3 Building 03-74 and Building 03-58 Underground Discharge Points and Corrective Action Unit 429: Area 3 Building 03-55 and Area 9 Building 09-52 Underground Discharge Points, Tonopah Test Range, Nevada'' Revision 0

US DOE Nevada Operations Office

1999-06-30T23:59:59.000Z

88

JOB NUMBER  

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

. . . . . . . . . .: LEAVE BLANK (NARA use only) JOB NUMBER N/-&*W- 9d - 3 DATE RECEIVED " -1s - 9 J - NOTIFICATION TOAGENCY , In accordance with the provisions of 44 U.S.C. 3303a the disposition request. including amendments, is ap roved except , . l for items that may be marke,, ,"dis osition not approved" or "withdrawn in c o i m n 10. 4. NAME OF PERSON WITH WHOM TO CONFER 5 TELEPHONE Jannie Kindred (202) 5&-333 5 - 2 -96 6 AGENCYCERTIFICATION -. ~ - I hereby certify that I am authorized to act for this agency in matters pertaining to the disposition of its records and that the records roposed for disposal are not now needed for the business of this agency or wiRnot be needed after t G t r & s s d ; and that written concurrence from

89

Case Number:  

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

Name of Petitioner: Name of Petitioner: Date of Filing: Case Number: Department of Energy Washington, DC 20585 JUL 2 2 2009 DEPARTMENT OF ENERGY OFFICE OF HEARINGS AND APPEALS Appeal Dean P. Dennis March 2, 2009 TBA-0072 Dean D. Dennis filed a complaint of retaliation under the Department of Energy (DOE) Contractor Employee Protection Program, 10 C.F.R. Part 708. Mr. Dennis alleged that he engaged in protected activity and that his employer, National Security Technologies, LLC (NSTec ), subsequently terminated him. An Office of Hearings and Appeals (OHA) Hearing Officer denied relief in Dean P. Dennis, Case No. TBH-0072, 1 and Mr. Dennis filed the instant appeal. As discussed below, the appeal is denied. I. Background The DOE established its Contractor Employee Protection Program to "safeguard public

90

KPA Number  

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

Supports CMM-SW Level 3 Supports CMM-SW Level 3 Mapping of the DOE Information Systems Engineering Methodology to the Software Engineering Institute (SEI) Software Capability Maturity Model (CMM-SW) level 3. Date: September 2002 Page 1 KPA Number KPA Activity SEM Section SEM Work Product SQSE Web site http://cio.doe.gov/sqse ORGANIZATION PROCESS FOCUS OPF-1 The software process is assessed periodically, and action plans are developed to address the assessment findings. Chapter 1 * Organizational Process Management * Process Improvement Action Plan * Methodologies ! DOE Methodologies ! SEM OPF-2 The organization develops and maintains a plan for its software process development and improvement activities. Chapter 1 * Organizational Process Management * Process Improvement

91

Using hydrodynamic modeling for estimating flooding and water depths in grand bay, alabama  

Science Conference Proceedings (OSTI)

This paper presents a methodology for using hydrodynamic modeling to estimate inundation areas and water depths during a hurricane event. The Environmental Fluid Dynamic Code (EFDC) is used in this research. EFDC is one of the most commonly applied models ... Keywords: EFDC, flooding, grand bay, grid generation, hydrodynamics, inundation, modeling

Vladimir J. Alarcon; William H. McAnally

2012-06-01T23:59:59.000Z

92

A high resolution geophysical investigation of spatial sedimentary processes in a paraglacial turbid outwash fjord: Simpson Bay, Prince William Sound, Alaska  

E-Print Network (OSTI)

Simpson Bay is a turbid, outwash fjord located in northeastern Prince William Sound, Alaska. A high ratio of watershead:basin surface area combined with high precipitation and an easily erodable catchment create high sediment inputs. Fresh water from heavy precipitation and meltwater from high alpine glaciers enter Simpson Bay through bay head rivers and small shoreline creeks that drain the catchment. Side scan sonar, seismic profiling, and high resolution bathymetry were used to investigate the record of modern sedimentary processes. Four bottom types and two seismic faces were described to delineate the distribution of sediment types and sedimentary processes in Simpson Bay. Sonar images showed areas of high backscatter (coarse grain sediment, bedrock outcrops and shorelines) in shallow areas and areas of low backscatter (estuarine mud) in deeper areas. Seismic profiles showed that high backscatter areas reflected emergent glacial surfaces while low backscatter areas indicated modern estuarine mud deposition. The data show terminal morainal bank systems and grounding line deposits at the mouth of the bay and rocky promontories, relict medial moraines, that extend as terrestrial features through the subtidal and into deeper waters. Tidal currents and mass wasting are the major influences on sediment distribution. Hydrographic data showed high spatial variability in surface and bottom currents throughout the bay. Bottom currents are tide dominated, and are generally weak (5-20 cm s-1) in the open water portions of the bay while faster currents are found associated with shorelines, outcrops, and restrictive sills. Tidal currents alone are not enough to cause the lack of estuarine mud deposition in shallow areas. Bathymetric data showed steep slopes throughout the bay suggesting sediment gravity flows. Central Alaska is a seismically active area, and earthquakes are most likely the triggering mechanism of the gravity flows.

Noll, Christian John, IV

2005-12-01T23:59:59.000Z

93

A Precision Measurement of the Neutrino Mixing Angle theta_13 using Reactor Antineutrinos at Daya Bay  

E-Print Network (OSTI)

A reactor-neutrino experiment, Daya Bay, has been proposed to determine the least-known neutrino mixing angle theta_13 using electron antineutrinos produced at the Daya Bay nuclear power complex in China. Daya Bay is an international collaboration with institutions from China, the United States, the Czech Republic, Hong Kong, Russia, and Taiwan. The experiment will use eight identical detectors deployed at three different locations optimized for monitoring the antineutrino rates from the six reactors and for detecting any rate deficit and spectral distortion near the first oscillation maximum. The overburden of the under ground experimental halls, connected with tunnels, ranges from about 250 to 900 meters-water-equivalent so that the cosmogenic background is small compared to the number of observed antineutrino events. Civil construction of tunnels and experimental facilities is planned to start in 2007, with detector construction beginning in 2008. The experiment will begin collecting data in 2010. By compa...

Guo, Xinheng

2007-01-01T23:59:59.000Z

94

An Improved Measurement of Electron Antineutrino Disappearance at Daya Bay  

E-Print Network (OSTI)

The theory of neutrino oscillations explains changes in neutrino flavor, count rates, and spectra from solar, atmospheric, accelerator, and reactor neutrinos. These oscillations are characterized by three mixing angles and two mass-squared differences. The solar mixing angle, {\\theta}_12, and the atmospheric mixing angle, {\\theta}_23, have been well measured, but until recently the neutrino mixing angle {\\theta}_13 was not well known. The Daya Bay experiment, located northeast of Hong Kong at the Guangdong Nuclear Power Complex in China, has made a precise measurement of electron antineutrino disappearance using six functionally-identical gadolinium-doped liquid scintillator-based detectors at three sites with distances between 364 and 1900 meters from six reactor cores. This proceeding describes the Daya Bay updated result, using 127 days of good run time collected between December 24, 2011 and May 11, 2012. For the far site, the ratio of the observed number of events to the expected number of events assuming no neutrino oscillation is 0.944 +/- 0.007(stat) +/- 0.003(syst). A fit for {\\theta}_13 in the three-neutrino framework yields sin^2 2{\\theta}_13 = 0.089 +/- 0.010(stat) +/- 0.005(syst).

David M. Webber; for the Daya Bay Collaboration

2012-11-07T23:59:59.000Z

95

Hooper Bay Wind Farm | Open Energy Information  

Open Energy Info (EERE)

Hooper Bay Wind Farm Hooper Bay Wind Farm Jump to: navigation, search Name Hooper Bay Wind Farm Facility Hooper Bay Sector Wind energy Facility Type Commercial Scale Wind Facility Status In Service Owner Alaska Village Electric Coop (AVEC) Developer Alaska Village Electric Coop (AVEC) Energy Purchaser Alaska Village Electric Coop (AVEC) Location Hooper Bay AK Coordinates 61.53572°, -166.097182° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":61.53572,"lon":-166.097182,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

96

Cleveland Bay Wind Farm | Open Energy Information  

Open Energy Info (EERE)

Cleveland Bay Wind Farm Cleveland Bay Wind Farm Jump to: navigation, search Name Cleveland Bay Wind Farm Facility Cleveland Bay Wind Farm Sector Wind energy Facility Type Offshore Wind Facility Status Proposed Developer Lake Erie Energy Development Corporation / Great Lakes Ohio Wind / Great Lakes Energy Wind LLC / Freshwater Wind LLC / Cavallo Great Lakes Ohio Wind LLC Location Cleveland Bay OH Coordinates 41.608°, -81.809° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":41.608,"lon":-81.809,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

97

Glacier Bay Inc | Open Energy Information  

Open Energy Info (EERE)

Glacier Bay Inc Glacier Bay Inc Jump to: navigation, search Name Glacier Bay Inc Place Oakland, California Zip 94601 Product US-based, advanced thermal control, sound reduction, and DC power management technologies developer. Coordinates 37.805065°, -122.273024° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":37.805065,"lon":-122.273024,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

98

OCEANOGRAPHIC OBSERVATIONS IN BRISTOL BAY AND THE BERING SEA  

E-Print Network (OSTI)

381 OCEANOGRAPHIC OBSERVATIONS IN BRISTOL BAY AND THE BERING SEA 1939-41, USCGT Redwing L. o OCEANOGRAPHIC OBSERVATSONS IN BRBSTOL BAY AND THE BERING SEA 1939-41 (USCGT Redwing) by Felix Favorite, John W OBSERVATIONS IN BRISTOL BAY AND THE BERING SEA 1939-41 (USCGT Redwing) by Felix Favorite, John W. Schantz

99

Mercury in mussels of Bellingham Bay, Washington, (USA)  

SciTech Connect

Laboratory experiments demonstrated the existence of metallothionein-like, low molecular weight, mercury-binding proteins in the marine mussel Mytilus edulis. Relatively large quantities of mercury were associated with such proteins in gills and digestive gland, the organs of interest in the present study. /sup 14/C-incorporation indicated induction of the protein in gills, but not in digestive gland. Mercury in digestive gland may have bound to existing metal-binding proteins. Short-term incorporation of mercury occurred primarily in gills. The induction of mercury-binding proteins in gills may have facilitated detoxification of mercury at the site of uptake. Mercury in mussels of Bellingham Bay were shown to have decreased from 1970 to 1978, the collection date for the present study. Mercury levels were low but approximately three times higher than those from uncontaminated areas. Mercury associated with the mercury-binding protein of gills and digestive glands of Bellingham Bay mussels were low and reflected the concentrations measured in the whole tissues. However, the highest concentration of mercury was associated with the low molecular pool components, the identity of which is not presently known.

Roesijadi, G.; Drum, A.S.; Bridge, J.R.

1978-11-01T23:59:59.000Z

100

Eileen west end development, Prudhoe Bay field, Alaska  

SciTech Connect

The western periphery of Prudhoe Bay field is made of small faulted structures referred to as the Eileen West End area. Development plans for Eileen West End consist of drilling approximately 90 production wells on 80-ac spacing, two nonconventional (> 85{degree}) gas injectors, and one to two conventional gas injectors from two gravel pads (W and Z pads). The confirmation sequence of 20 wells was prioritized to provide information about the structure, fluid contacts, reservoir rock quality, and shale extent in the areas of the nonconventional gas injectors and to maximize, broad initial offtake. Drilling began with two rigs in February 1988, and production started up from Eileen West End in June 1988. In October 1989, 46 wells produced 50,000 BOPD. Peak capacity of 60,000 BOPD is expected by May 1990. Gas cap gas injection was initiated in the West End along with production. Two nonconventional gas injectors currently inject 90 MMCFD. A final injection rate for the West End is targeted at 130 MMCFD. Initiating injection concurrently with production will forestall additional pressure depletion from offtake in the Main field of Prudhoe Bay. Integration of geologic reservoir description and engineering data is crucial to optimize, reservoir development. Current effort include mud logging, sidewall core sampling, formation pressure testing, and fluid contact monitoring with open-hole and cased-hole logs. These data are interpreted to identify areas of gas or water influx and gas breakthrough to define the extent of permeability barriers, to evaluate pressure support requirements, and to effectively plan the remaining conventional and nonconventional producers.

Cooke, A. (BP Exploration, Anchorage, AK (USA))

1990-05-01T23:59:59.000Z

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


101

SF Bay Cores Uncovering Our Dirty Past  

E-Print Network (OSTI)

1956 1931 1898 #12;Dating: Radioisotopes (USC Hammond) · 137Cs in atom bomb ­ Post ~1950 ­ Max ~1960 reservoir · Much of SF Bay eroding · Ticking TIME BOMB?!!! Hornberger 1999 #12;· Need baywide inventory reviewed. Do not cite or quote. PCBs represents the sums of individual congeners reported by the RMP

102

BRISTOL BAY OCEANOGRAPHY AUGUST-SEPTEMBER, 1938  

E-Print Network (OSTI)

Chichagof 7 111 #12;U. S. Coast Guard Tug Redwing IV #12;BRISTOL BAY OCEANOGRAPHY, AUGUST-SEPTEMBER 1938 logs of the U. S. Coast Gucird Tug Redwing present values of temperature, salinity, density, dynamicÂŁird Tug Redwing equipped to make hydrographic casts, measure currents, and obtain bottom samples. Grateful

103

Prudhoe Bay Oil Production Optimization: Using Virtual  

E-Print Network (OSTI)

total field oil production by optimizing the gas discharge rates and pressures at the separation1 Prudhoe Bay Oil Production Optimization: Using Virtual Intelligence Techniques, Stage One: Neural Model Building Shahab D. Mohaghegh, West Virginia University Lynda A. Hutchins, BP Exploration (Alaska

Mohaghegh, Shahab

104

Glossary Term - Atomic Number  

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

Particle Previous Term (Alpha Particle) Glossary Main Index Next Term (Avogadro's Number) Avogadro's Number Atomic Number Silver's atomic number is 47 The atomic number is equal to...

105

Responses of upland herpetofauna to the restoration of Carolina Bays and thinning of forested Bay Margins.  

Science Conference Proceedings (OSTI)

Research on the effects of wetland restoration on reptiles and amphibians is becoming more common, but almost all of these studies have observed the colonization of recently disturbed habitats that were completely dry at the time of restoration. In a similar manner, investigations herpetofaunal responses to forest management have focused on clearcuts, and less intensive stand manipulations are not as well studied. To evaluate community and population responses of reptiles and amphibians to hydrology restoration and canopy removal in the interior of previously degraded Carolina bays, I monitored herpetofauna in the uplands adjacent to six historically degraded Carolina bays at the Savannah River Site (SRS) in South Carolina for four years after restoration. To evaluate the effects of forest thinning on upland herpetofauna, forests were thinned in the margins of three of these bays. I used repeated measures ANOVA to compare species richness and diversity and the abundance of selected species and guilds between these bays and with those at three reference bays that were not historically drained and three control bays that remained degraded. I also used Non-metric Multidimensional Scaling (NMDS) to look for community-level patterns based treatments.

Ledvina, Joseph A.

2008-05-01T23:59:59.000Z

106

ELECTRICAL DISTRICT NUMBER EIGHT  

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

ELECTRICAL DISTRICT NUMBER EIGHT ELECTRICAL DISTRICT NUMBER EIGHT Board of Directors Reply to: Ronald Rayner C. W. Adams James D. Downing, P.E. Chairman Billy Hickman 66768 Hwy 60 Brian Turner Marvin John P.O. Box 99 Vice-Chairman Jason Pierce Salome, AZ 85348 Denton Ross Jerry Rovey Secretary James N. Warkomski ED8@HARCUVARCO.COM John Utz Gary Wood PHONE:(928) 859-3647 Treasurer FAX: (928) 859-3145 Sent via e-mail Mr. Darrick Moe, Regional Manager Western Area Power Administration Desert Southwest Region P. O. Box 6457 Phoenix, AZ 85005-6457 moe@wapa.gov; dswpwrmrk@wapa.gov Re: ED5-Palo Verde Hub Project Dear Mr. Moe, In response to the request for comments issued at the October 6 Parker-Davis Project customer th meeting, and in conjunction with comments previously submitted by the Southwest Public Power

107

Bay Front Biomass Facility | Open Energy Information  

Open Energy Info (EERE)

Front Biomass Facility Front Biomass Facility Jump to: navigation, search Name Bay Front Biomass Facility Facility Bay Front Sector Biomass Location Ashland County, Wisconsin Coordinates 46.9794969°, -90.4824892° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":46.9794969,"lon":-90.4824892,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

108

BayWa Group | Open Energy Information  

Open Energy Info (EERE)

BayWa Group BayWa Group Jump to: navigation, search Name BayWa Group Place Munich, Germany Zip 81925 Sector Services, Solar Product Germany-based company with international operations specialised in wholesale and retail and in providing services. The company is also active in the biofuel and solar sectors. Coordinates 48.136415°, 11.577531° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":48.136415,"lon":11.577531,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

109

New and Underutilized Technology: High Bay LED Lighting | Department of  

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

High Bay LED Lighting High Bay LED Lighting New and Underutilized Technology: High Bay LED Lighting October 7, 2013 - 8:55am Addthis The following information outlines key deployment considerations for high bay LED lighting within the Federal sector. Benefits LED light sources offer several potential benefits compared to metal halide or fluorescent lighting, including reduced energy consumption due to the ability to provide a more precise light distribution; longer operating life and lower maintenance requirements; less heat introduced into the space; and greater controllability for dimming and on/off control. Relevant to the cold storage application, LED performance improves in colder temperatures. Application High bay LED lighting is applicable for facilities containing high bay

110

Record of Technical Change {number_sign}2 for ''Corrective Action Investigation Plan for Corrective Action Unit 240: Area 25 Vehicle Washdown, Nevada Test Site, Nevada,'' Revision 0, DOE/NV--532  

Science Conference Proceedings (OSTI)

This Record of Technical Change updates the technical informatioin provided in ''Corrective Action Investigation Plan for Corrective Action Unit 240: Area 25 Vehicle Washdown, Nevada Test Site, Nevada,'' Revision 0, DOE/NV--532.

USDOE Nevada Operations Office

2000-03-16T23:59:59.000Z

111

Glossary Term - Avogadro's Number  

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

Atomic Number Previous Term (Atomic Number) Glossary Main Index Next Term (Beta Decay) Beta Decay Avogadro's Number Avogadro's number is the number of particles in one mole of a...

112

Clean Cities: East Bay Clean Cities (Oakland) coalition  

Alternative Fuels and Advanced Vehicles Data Center (EERE)

Battersby Richard Battersby is director of fleet services at the University of California, Davis and has been Coordinator of the East Bay (Oakland) Clean Cities coalition...

113

Microsoft Word - P-12711 Cobscook Bay Project EA.doc  

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

and vertical turbulence with no indications of significant stratification (Quoddy Bay LNG 2006). Mixing cools the surface waters in the summer, and limits the freezing...

114

Thermal Waters Along The Konocti Bay Fault Zone, Lake County...  

Open Energy Info (EERE)

Thermal Waters Along The Konocti Bay Fault Zone, Lake County, California- A Re-Evaluation Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Journal Article: Thermal...

115

Chesapeake Bay, Drilling for Oil or Gas Prohibited (Virginia)  

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

Drilling for oil or gas in the waters or within 500 hundred feet from the shoreline of the Chesapeake Bay or any of its tributaries is prohibited.

116

Big Bay, Michigan: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

Bureau 2005 Place to 2006 CBSA Retrieved from "http:en.openei.orgwindex.php?titleBigBay,Michigan&oldid227742" Categories: Places Stubs Cities What links here Related...

117

Linking public health and the health of the Chesapeake Bay  

Science Conference Proceedings (OSTI)

The Chesapeake Bay has a profound impact on the lives of all who reside in the 64,000 square miles of its watershed. From crab cakes to sailboats, drinking water to naval ships, the Bay touches virtually every aspect of life in the region. The Bay has inspired literature, driven the regional economy, and shaped political decision making and development patterns for homes, industry, agriculture, and transportation. As population demands increase and urban boundaries expand into pristine landscapes, the sustainability of the Chesapeake Bay and its resources face unprecedented pressures. Consequently, the public's health also is vulnerable to Bay pollution and other stresses stemming from development activities and widespread growth occurring throughout the Chesapeake Bay watershed. This paper will examine the linkages between the environmental quality of the Bay and the population health status, recommend ways to bridge ecological and human health concerns in the context of the Bay, and finally present a framework for developing a public health report card for the Bay.

Burke, T.A.; Litt, J.S.; Fox, M.A.

2000-02-01T23:59:59.000Z

118

Green Bay, Wisconsin: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

Login | Sign Up Search Page Edit with form History Facebook icon Twitter icon Green Bay, Wisconsin: Energy Resources Jump to: navigation, search Equivalent URI DBpedia...

119

Modeling nitrogen cycling in forested watersheds of Chesapeake Bay  

Science Conference Proceedings (OSTI)

The Chesapeake Bay Agreement calls for a 40% reduction of controllable phosphorus and nitrogen to the tidal Bay by the year 2000. To accomplish this goal the Chesapeake Bay Program needs accurate estimates of nutrient loadings, including atmospheric deposition, from various land uses. The literature was reviewed on forest nitrogen pools and fluxes, and nitrogen data from research catchments in the Chesapeake Basin were identified. The structure of a nitrogen module for forests is recommended for the Chesapeake Bay Watershed Model along with the possible functional forms for fluxes.

Hunsaker, C.T.; Garten, C.T.; Mulholland, P.J.

1995-03-01T23:59:59.000Z

120

Primary causes of wetland loss at Madison Bay, Terrebonne ...  

U.S. Energy Information Administration (EIA)

Get this from a library! Primary causes of wetland loss at Madison Bay, Terrebonne Parish, Louisiana. [Robert A Morton; Ginger Tiling; Nicholas F ...

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


121

The Daya Bay Antineutrino Detector Filling System and Liquid Mass Measurement  

E-Print Network (OSTI)

The Daya Bay Reactor Neutrino Experiment has measured the neutrino mixing angle \\theta_{13} to world-leading precision. The experiment uses eight antineutrino detectors filled with 20-tons of gadolinium-doped liquid scintillator to detect antineutrinos emitted from the Daya Bay nuclear power plant through the inverse beta decay reaction. The precision measurement of sin^{2}2\\theta_{13} relies on the relative antineutrino interaction rates between detectors at near (400 m) and far (roughly 1.8 km) distances from the nuclear reactors. The measured interaction rate in each detector is directly proportional to the number of protons in the liquid scintillator target. A precision detector filling system was developed to simultaneously fill the three liquid zones of the antineutrino detectors and measure the relative target mass between detectors to <0.02%. This paper describes the design, operation, and performance of the system and the resulting precision measurement of the detectors' target liquid masses.

H. R. Band; J. J. Cherwinka; E. Draeger; K. M. Heeger; P. Hinrichs; C. A. Lewis; H. Mattison; M. C. McFarlane; D. M. Webber; D. Wenman; W. Wang; T. Wise; Q. Xiao

2013-07-03T23:59:59.000Z

122

Airborne gamma-ray spectrometer and magnetometer survey Coos Bay, Oregon. Final report  

Science Conference Proceedings (OSTI)

During the months of August, September, and October of 1980, Aero Service Division Western Geophysical Company of America conducted an airborne high sensitivity gamma-ray spectrometer and magnetometer survey over ten (10) areas over northern California and southwestern Oregon. These include the 2/sup 0/ x 1/sup 0/ NTMS quadrangles of Roseburg, Medford, Weed, Alturas, Redding, Susanville, Ukiah, and Chico along with the 1/sup 0/ x 2/sup 0/ areas of the Coos Bay quadrangle and the Crescent City/Eureka areas combined. This report discusses the results obtained over the Coos Bay, Oregon, map area. Line spacing was generally six miles for east/west traverses and eighteen miles for north/south tie lines over the northern one-half of the area. Traverses and tie lines were flown at three miles and twelve miles respectively over the southern one-half of the area. A total of 16,880.5 line miles of geophysical data were acquired, compiled, and interpreted during the survey, of which 863.8 line miles are in this quadrangle.

Not Available

1981-05-01T23:59:59.000Z

123

Pages that link to "Chesapeake Bay Test Site" | Open Energy Informatio...  

Open Energy Info (EERE)

Share this page on Facebook icon Twitter icon Pages that link to "Chesapeake Bay Test Site" Chesapeake Bay Test Site Jump to: navigation, search What links here Page:...

124

Regional Resilience in the Face of Foreclosures: Evidence from Six Metropolitan Areas  

E-Print Network (OSTI)

Figure 2. Pre-foreclosures by zip code in the St. LouisFigure 3. Pre-foreclosures by zip code in the Inland Empire,Pre-foreclosure notices by zip code, San Francisco Bay Area,

Todd Swanstrom; Karen Chapple; Dan Immergluck

2009-01-01T23:59:59.000Z

125

Intention Recognition via Causal Bayes Networks Plus Plan Generation  

Science Conference Proceedings (OSTI)

In this paper, we describe a novel approach to tackle intention recognition, by combining dynamically configurable and situation-sensitive Causal Bayes Networks plus plan generation techniques. Given some situation, such networks enable recognizing agent ... Keywords: ASCP, Causal Bayes Networks, Intention recognition, Logic Programming, P-log, Plan generation

Luís Moniz Pereira; Han The Anh

2009-10-01T23:59:59.000Z

126

MFR PAPER 1074 Effects of Prudhoe Bay Crude Oil on  

E-Print Network (OSTI)

MFR PAPER 1074 Effects of Prudhoe Bay Crude Oil on Molting Tanner Crabs, Chionoecetes bairdi JOHN F bairdi , from Alaska walers were exposed 10 Prudhoe Bay crude oil in sIalic bioassays ill Ih e laboralory. Crabs in bOlh slages were similarly susceplible 10 crude oil; Ihe eSlimaled 48-hour TLIIl (Illedian

127

TWO CHEMICAL SPILL PATTERNS IN TIDALLY DOMINATED SAN DIEGO BAY  

E-Print Network (OSTI)

6 TWO CHEMICAL SPILL PATTERNS IN TIDALLY DOMINATED SAN DIEGO BAY Peter C. Chu and Kleanthis, Inc., 70 Dean Knauss Drive, Narragansett, RI 02882, USA ABSTRACT A coupled hydrodynamic-chemical spill model is used to investigate the chemical spill in the San Diego Bay. The hydrodynamic model shows

Chu, Peter C.

128

Application of fuzzy logic for autonomous bay parking of automobiles  

Science Conference Proceedings (OSTI)

In this paper, we investigate the control problem of autonomous bay parking system. We choose a referenced parking lot and define a suitable parking spot based on some measurements at various places. A kinetic model is set up for the convenience of analysis ... Keywords: Fuzzy logic, autonomous vehicle control, bay parking, kinetic model, simulation

Zhao-Jian Wang; Jian-Wei Zhang; Ying-Ling Huang; Hui Zhang; Aryan Saadat Mehr

2011-11-01T23:59:59.000Z

129

Chesapeake Bay Preservation Programs (Multiple States) | Department of  

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

Chesapeake Bay Preservation Programs (Multiple States) Chesapeake Bay Preservation Programs (Multiple States) Chesapeake Bay Preservation Programs (Multiple States) < Back Eligibility Agricultural Commercial Construction Developer Fed. Government Fuel Distributor General Public/Consumer Industrial Installer/Contractor Institutional Investor-Owned Utility Local Government Low-Income Residential Multi-Family Residential Municipal/Public Utility Nonprofit Residential Retail Supplier Rural Electric Cooperative Schools State/Provincial Govt Systems Integrator Transportation Tribal Government Utility Savings Category Alternative Fuel Vehicles Hydrogen & Fuel Cells Buying & Making Electricity Water Home Weatherization Solar Wind Program Info State Maryland Program Type Siting and Permitting Provider Chesapeake Bay Program The Chesapeake Bay Program is a unique regional partnership that has led

130

Clean Cities: East Bay Clean Cities (Oakland) coalition  

Alternative Fuels and Advanced Vehicles Data Center (EERE)

Bay Clean Cities (Oakland) Coalition Bay Clean Cities (Oakland) Coalition The East Bay Clean Cities (Oakland) coalition works with vehicle fleets, fuel providers, community leaders, and other stakeholders to reduce petroleum use in transportation. East Bay Clean Cities (Oakland) coalition Contact Information Richard Battersby 530-752-9666 rebattersby@ucdavis.edu Chris Ferrara 925-459-8062 caf3@pge.com Coalition Website Clean Cities Coordinators Coord Richard Battersby Coord Coord Chris Ferrara Coord Photo of Richard Battersby Richard Battersby is director of fleet services at the University of California, Davis and has been Coordinator of the East Bay (Oakland) Clean Cities coalition since 2003. Battersby has over 25 years of experience in the fleet industry and has written and participated in numerous local, state, and federal grant-funded

131

Rangely Oilfield Geothermal Area | Open Energy Information  

Open Energy Info (EERE)

Well Field Information Development Area: Number of Production Wells: Number of Injection Wells: Number of Replacement Wells: Average Temperature of Geofluid: Sanyal...

132

Haleakala Volcano Geothermal Area | Open Energy Information  

Open Energy Info (EERE)

Well Field Information Development Area: Number of Production Wells: Number of Injection Wells: Number of Replacement Wells: Average Temperature of Geofluid: Sanyal...

133

Size-Resolved Particle Number and Volume Emission Factors for On-Road  

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

Size-Resolved Particle Number and Volume Emission Factors for On-Road Size-Resolved Particle Number and Volume Emission Factors for On-Road Gasoline and Diesel Motor Vehicles Title Size-Resolved Particle Number and Volume Emission Factors for On-Road Gasoline and Diesel Motor Vehicles Publication Type Journal Article Year of Publication 2009 Authors Ban-Weiss, George, Melissa M. Lunden, Thomas W. Kirchstetter, and Robert A. Harley Journal Journal of Aerosol Science Keywords emission, motor vehicle, particle number, size distribution, tunnel Abstract Average particle number concentrations and size distributions from ~61 000 light-duty (LD) vehicles and ~2500 medium-duty (MD) and heavy-duty (HD) trucks were measured during the summer of 2006 in a San Francisco Bay area traffic tunnel. One of the traffic bores contained only LD vehicles, and the other contained mixed traffic, allowing pollutants to be apportioned between LD vehicles and diesel trucks. Particle number emission factors (particle diameter Dp > 3 nm) were found to be (3.9 ± 1.4) x 1014 and (3.3 ± 1.3) x 1015 # kg-1 fuel burned for LD vehicles and diesel trucks, respectively. Size distribution measurements showed that diesel trucks emitted at least an order of magnitude more particles for all measured sizes (10 < Dp < 290 nm) per unit mass of fuel burned. The relative importance of LD vehicles as a source of particles increased as Dp decreased. Comparing the results from this study to previous measurements at the same site showed that particle number emission factors have decreased for both LD vehicles and diesel trucks since 1997. Integrating size distributions with a volume weighting

134

DEVELOPMENT OF A COASTAL MARGIN OBSERVATION AND ASSESSMENT SYSTEM (CMOAS) TO CAPTURE THE EPISODIC EVENTS IN A SHALLOW BAY  

E-Print Network (OSTI)

Corpus Christi Bay (TX, USA) is a shallow wind-driven bay which is designated as a National Estuary due to its impact on the economy. But this bay experiences periodic hypoxia (dissolved oxygen <2 mg/l) which threatens aerobic aquatic organisms. Development of the Coastal Margin Observation and Assessment System (CMOAS) through integration of real-time observations with numerical modeling helps to understand the processes causing hypoxia in this energetic bay. CMOAS also serves as a template for the implementation of observational systems in other dynamic ecosystems for characterizing and predicting other episodic events such as harmful algal blooms, accidental oil spills, sediment resuspension events, etc. State-of-the-art sensor technologies are involved in real-time monitoring of hydrodynamic, meteorological and water quality parameters in the bay. Three different platform types used for the installation of sensor systems are: 1) Fixed Robotic, 2) Mobile, and 3) Remote. An automated profiler system, installed on the fixed robotic platform, vertically moves a suite of in-situ sensors within the water column for continuous measurements. An Integrated Data Acquisition, Communication and Control system has been configured on our mobile platform (research vessel) for the synchronized measurements and real-time visualization of hydrodynamic and water quality parameters at greater spatial resolution. In addition, a high frequency (HF) radar system has been installed on remote platforms to generate surface current maps for Corpus Christi (CC) Bay and its offshore area. This data is made available to stakeholders in real-time through the development of cyberinfrastructure which includes establishment of communication network, software development, web services, database development, etc. Real-time availability of measured datasets assists in implementing an integrated sampling scheme for our monitoring systems installed at different platforms. With our integrated system, we were able to capture evidence of an hypoxic event in Summer 2007. Data collected from our monitoring systems are used to drive and validate numerical models developed in this study. The analysis of observational datasets and developed 2-D hydrodynamic model output suggests that a depth-integrated model is not able to capture the water current structure of CC Bay. Also, the development of a threedimensional mechanistic dissolved oxygen model and a particle aggregation transport model (PAT) helps to clarify the critical processes causing hypoxia in the bay. The various numerical models and monitoring systems developed in this study can serve as valuable tools for the understanding and prediction of various episodic events dominant in other dynamic ecosystems.

Islam, Mohammad S.

2009-05-01T23:59:59.000Z

135

Highlighting High Performance: The Philip Merrill Environmental Center; Chesapeake Bay Foundation, Annapolis, Maryland  

SciTech Connect

Case study on high performance building features of the Chesapeake Bay Foundation's Philip Merrill Environmental Center.

Not Available

2002-04-01T23:59:59.000Z

136

TEC Rail TG Summary_Green Bay  

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

September 13-14, 2006 September 13-14, 2006 Green Bay, WI RAIL TOPIC GROUP Mr. Jay Jones began the meeting with a welcome and introduction of the topic members, other participants, and support staff. A brief overview was given of the topic group's activities since the last TEC meeting. This meeting focused on the Topic Group's subgroup activities. Key comments and discussions are summarized below. Status Update of the Rail Topic Group Mr. Jones mentioned the planned creation of a new topic group to be called the Routing Topic Group. The Rail Topic Group would still exist as a topic group. However, since the emphasis would be in developing routing criteria and ultimately a national suite of routes over the next year or so, this separate Routing Topic Group would be created to address

137

Massachusetts Bay Trans Auth | Open Energy Information  

Open Energy Info (EERE)

Auth Auth Jump to: navigation, search Name Massachusetts Bay Trans Auth Place Massachusetts Utility Id 49848 Utility Location Yes Ownership P NERC Location NPCC NERC NPCC Yes Operates Generating Plant Yes Activity Generation Yes Activity Wholesale Marketing Yes Activity Retail Marketing Yes Alt Fuel Vehicle Yes Alt Fuel Vehicle2 Yes References EIA Form EIA-861 Final Data File for 2010 - File1_a[1] LinkedIn Connections CrunchBase Profile No CrunchBase profile. Create one now! This article is a stub. You can help OpenEI by expanding it. Utility Rate Schedules Grid-background.png No rate schedules available. Average Rates Commercial: $0.0896/kWh Transportation: $0.1250/kWh References ↑ "EIA Form EIA-861 Final Data File for 2010 - File1_a" Retrieved from

138

Prospects For Precision Measurements with Reactor Antineutrinos at Daya Bay  

E-Print Network (OSTI)

In 2012 the Daya Bay experiment made an unambiguous observation of reactor antineutrino disappearance over kilometer-long baselines and determined that the neutrino mixing angle $\\theta_{13}$ is non-zero. The measurements of Daya Bay have provided the most precise determination of $\\theta_{13}$ to date. This whitepaper outlines the prospects for precision studies of reactor antineutrinos at Daya Bay in the coming years. This includes precision measurements of sin$^2 2\\theta_{13}$ and $\\Delta m^2_{ee}$ to $reactor flux and spectrum, and non-standard physics searches.

The Daya Bay Collaboration

2013-09-30T23:59:59.000Z

139

Gaussian random number generators  

Science Conference Proceedings (OSTI)

Rapid generation of high quality Gaussian random numbers is a key capability for simulations across a wide range of disciplines. Advances in computing have brought the power to conduct simulations with very large numbers of random numbers and with it, ... Keywords: Gaussian, Random numbers, normal, simulation

David B. Thomas; Wayne Luk; Philip H.W. Leong; John D. Villasenor

2007-11-01T23:59:59.000Z

140

East Bay Municipal Util Dist | Open Energy Information  

Open Energy Info (EERE)

Bay Municipal Util Dist Bay Municipal Util Dist Jump to: navigation, search Name East Bay Municipal Util Dist Place California Utility Id 5571 Utility Location Yes Ownership M NERC Location WECC NERC WECC Yes Operates Generating Plant Yes Activity Generation Yes Activity Wholesale Marketing Yes Alt Fuel Vehicle Yes Alt Fuel Vehicle2 Yes References EIA Form EIA-861 Final Data File for 2010 - File1_a[1] LinkedIn Connections CrunchBase Profile No CrunchBase profile. Create one now! This article is a stub. You can help OpenEI by expanding it. Utility Rate Schedules Grid-background.png No rate schedules available. Average Rates No Rates Available References ↑ "EIA Form EIA-861 Final Data File for 2010 - File1_a" Retrieved from "http://en.openei.org/w/index.php?title=East_Bay_Municipal_Util_Dist&oldid=41061

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


141

JAMAICA BAY TASK FORCE MEETING Tuesday April 6, 2010  

E-Print Network (OSTI)

Len Houston, U.S. Army Corps of Engineers (USACE) 7:30 Liquefied Natural Gas (LNG) Update Dan Mundy Jr., Jamaica Bay EcoWatchers 7:50 Recent Nitrogen Agreement with NYC Brad Sewell, Natural Resources Defense

Columbia University

142

Pedro Bay Village Council (Utility Company) | Open Energy Information  

Open Energy Info (EERE)

Pedro Bay Village Council (Utility Company) Pedro Bay Village Council (Utility Company) Jump to: navigation, search Name Pedro Bay Village Council Place Alaska Utility Id 14633 Utility Location Yes Ownership M NERC Location AK Operates Generating Plant Yes Activity Generation Yes Activity Transmission Yes References EIA Form EIA-861 Final Data File for 2010 - File1_a[1] LinkedIn Connections CrunchBase Profile No CrunchBase profile. Create one now! This article is a stub. You can help OpenEI by expanding it. Utility Rate Schedules Grid-background.png General Service Residential School Commercial Average Rates Residential: $0.9080/kWh Commercial: $0.8510/kWh References ↑ "EIA Form EIA-861 Final Data File for 2010 - File1_a" Retrieved from "http://en.openei.org/w/index.php?title=Pedro_Bay_Village_Council_(Utility_Company)&oldid=411345

143

City of Larsen Bay, Alaska (Utility Company) | Open Energy Information  

Open Energy Info (EERE)

Larsen Bay, Alaska (Utility Company) Larsen Bay, Alaska (Utility Company) Jump to: navigation, search Name City of Larsen Bay Place Alaska Utility Id 10716 Utility Location Yes Ownership M NERC Location AK Operates Generating Plant Yes Activity Distribution Yes References EIA Form EIA-861 Final Data File for 2010 - File1_a[1] LinkedIn Connections CrunchBase Profile No CrunchBase profile. Create one now! This article is a stub. You can help OpenEI by expanding it. Utility Rate Schedules Grid-background.png Commercial Rate Commercial Industrial Rate Industrial Residential Rate Residential Average Rates Residential: $0.3910/kWh Commercial: $0.3340/kWh References ↑ "EIA Form EIA-861 Final Data File for 2010 - File1_a" Retrieved from "http://en.openei.org/w/index.php?title=City_of_Larsen_Bay,_Alaska_(Utility_Company)&oldid=40983

144

BayWa Sunways JV | Open Energy Information  

Open Energy Info (EERE)

JV that specialises in developing, planning and realizing medium-sized to large photovoltaic systems and solar plants. References BayWa & Sunways JV1 LinkedIn Connections...

145

Assembly and Installation of the Daya Bay Antineutrino Detectors  

E-Print Network (OSTI)

The Daya Bay reactor antineutrino experiment is designed to make a precision measurement of the neutrino mixing angle theta13, and recently made the definitive discovery of its nonzero value. It utilizes a set of eight, functionally identical antineutrino detectors to measure the reactor flux and spectrum at baselines of 300 - 2000m from the Daya Bay and Ling Ao Nuclear Power Plants. The Daya Bay antineutrino detectors were built in an above-ground facility and deployed side-by-side at three underground experimental sites near and far from the nuclear reactors. This configuration allows the experiment to make a precision measurement of reactor antineutrino disappearance over km-long baselines and reduces relative systematic uncertainties between detectors and nuclear reactors. This paper describes the assembly and installation of the Daya Bay antineutrino detectors.

H. R. Band; R. L. Brown; R. Carr; X. C. Chen; X. H. Chen; J. J. Cherwinka; M. C. Chu; E. Draeger; D. A. Dwyer; W. R. Edwards; R. Gill; J. Goett; L. S. Greenler; W. Q. Gu; W. S. He; K. M. Heeger; Y. K. Heng; P. Hinrichs; T. H. Ho; M. Hoff; Y. B. Hsiung; Y. Jin; L. Kang; S. H. Kettell; M. Kramer; K. K. Kwan; M. W. Kwok; C. A. Lewis; G. S. Li; N. Li; S. F. Li; X. N. Li; C. J. Lin; B. R. Littlejohn; J. L. Liu; K. B. Luk; X. L. Luo; X. Y. Ma; M. C. McFarlane; R. D. McKeown; Y. Nakajima; J. P. Ochoa-Ricoux; A. Pagac; X. Qian; B. Seilhan; K. Shih; H. Steiner; X. Tang; H. Themann; K. V. Tsang; R. H. M. Tsang; S. Virostek; L. Wang; W. Wang; Z. M. Wang; D. M. Webber; Y. D. Wei; L. J. Wen; D. L. Wenman; J. Wilhelmi; M. Wingert; T. Wise; H. L. H. Wong; F. F. Wu; Q. Xiao; L. Yang; Z. J. Zhang; W. L. Zhong; H. L. Zhuang

2013-09-06T23:59:59.000Z

146

Turbulence, Acoustic Backscatter, and Pelagic Nekton in Monterey Bay  

Science Conference Proceedings (OSTI)

During August 2006 aggregations of nekton, most likely small fish, intersected microstructure survey lines in Monterey Bay, California, providing an opportunity to examine biologically generated mixing. Some aggregations filled the water column, ...

Michael C. Gregg; John K. Horne

2009-05-01T23:59:59.000Z

147

Core Structure of a Bay of Bengal Monsoon Depression  

Science Conference Proceedings (OSTI)

Summer MONEX aircraft flight level and dropwindsonde data have been used to examine the central core structure of a mature Bay of Bengal monsoon depression on 7 July 1979. Continuous aircraft data including cloud photographs were obtained at ...

Charles Warner

1984-01-01T23:59:59.000Z

148

McKay Bay Facility Biomass Facility | Open Energy Information  

Open Energy Info (EERE)

McKay Bay Facility Biomass Facility McKay Bay Facility Biomass Facility Jump to: navigation, search Name McKay Bay Facility Biomass Facility Facility McKay Bay Facility Sector Biomass Facility Type Municipal Solid Waste Location Hillsborough County, Florida Coordinates 27.9903597°, -82.3017728° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":27.9903597,"lon":-82.3017728,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

149

Space Conditioning Technology Options for High-Bay Facilities  

Science Conference Proceedings (OSTI)

High-bay facility owners are considering the addition of space conditioning systems and technologies to improve their operations. This trend creates an opportunity for utility representatives to provide sound guidance on space conditioning system selection alternatives and other energy efficiency options to cost-effectively meet the owner’s requirements. This report describes the common heating and cooling technologies applicable to high-bay facilities and analyzes the strengths and weaknesses of each in...

2007-12-18T23:59:59.000Z

150

Prudhoe Bay western peripheral development using three-dimensional seismic  

Science Conference Proceedings (OSTI)

The western periphery of the Prudhoe Bay field, known as the West End or Eileen area, is characterized by a relatively gentle southwestern regional dip cut by numerous normal faults with up to 500 ft of throw. These faults displace the Permian-Triassic reservoir sandstones against Jurassic shales. A detailed structural map was interpreted from three-dimensional seismic data acquired in 1984 and 1985. Three distinct and coherent trends of faulting are evident from the data: north-south, northwest-southeast, and east-west. These faults were aliased by the earlier two-dimensional data grid and could not be connected in a coherent manner consistent with suppositions of the stress directions. The added detail to the structural maps will allow development of narrow, oil-filled horst blocks and should prevent drilling of dry holes in narrow grabens as has occurred prior to the three-dimensional data acquisition. Seventy-two 80-ac wells and up to four horizontal gas injectors are planned for the area, with drilling commencing from new surface facilities in 1988. Upon the successful completion of a horizontal and an 88/sup 0/ highangle well from existing facilities, the utility and shortcomings of the data interpretations were illuminated. The high-angle well encountered only 40% of the prognosed oil column, which is believed to be a consequence of an unpredicted permafrost thickening. Thus, as with two-dimensional data, the uncertainty in the estimate of the velocity field is the dominant factor in estimating subsurface structure.

Guderjahn, C.G.

1988-01-01T23:59:59.000Z

151

Predicting the behavior of nearshore feeder berms in the vicinity of Morro Bay, California  

E-Print Network (OSTI)

Being able to predict the final disposition of dredged material mounds is important in the planning of dredging operations. A computerized mathematical model, based on the sediment movement equations of Ackers and White, has been developed by the US Army Corps of Engineers. The model, called Long Term FATE (LTFATE), is a useful tool for making such predictions. The primary objective of this study is to compare the output from LTFATE with the actual movement of dredged material placement mounds placed in the vicinity of Morro Bay, CA in 1990. The secondary objective is to determine a mound shape that would provide the greatest benefit as a feeder berm, causing accretion on the nearby beach. The channel to the harbor at Morro Bay must be dredged on a regular basis, and the dredged material has historically been placed in a high-energy, nearshore area approximately 3 km (1.9 m) from the channel, and 200 m (650 ft) offshore of the MLW line. LTFATE was calibrated by being applied to two geometrically regularly shaped mounds: a cone, 200 m (660 ft) in diameter, and a log-shaped berm, 200 m (660 ft) x 400 m (1310 ft). These mounds were placed on a flat seabed. The model inputs were environmental variables measured during a study at Morro Bay in 1990. The Advanced Ocean Circulation Model ADCIRC was used to generate the wave heights and water levels. The model was then applied to the bathymetry of the mounds placed at Morro Bay, and the output compared to that measured at the site at the end of a five-month study. The mound movement predicted by the model differs from that shown by the final bathymetric study at Morro Bay, both in change of mound height and displacement of mound center of mass. Several reasons for these differences are given in the study. It is also shown that of the three mound configurations, for a given set of parameters, the log-shaped berm has the greatest horizontal displacement, indicating that if placed normal to the prevailing current and the shoreline, it would provide the greatest amount of sediment to accrete an adjacent beach.

Simon, Peter Arthur

2000-01-01T23:59:59.000Z

152

Quantum Random Number Generator  

Science Conference Proceedings (OSTI)

... trusted beacon of random numbers. You could conduct secure auctions, or certify randomized audits of data. One of the most ...

2013-08-30T23:59:59.000Z

153

Results of the first two seasons of underwater surveys at Episkopi Bay and Akrotiri, Cyprus  

E-Print Network (OSTI)

During the summers of 2003 and 2004, a small team of graduate students initiated an underwater archaeological survey off the coast of Cyprus as part of the University of Cincinnati excavations at Episkopi-Bamboula. With the support of the Institute of Nautical Archaeology (INA) at Texas A&M University and RPM Nautical Foundation, the project explored the seabed south and west of the Akrotiri Peninsula at Episkopi Bay. The overall aim of this ongoing diachronic survey is to determine the extent and nature of maritime contacts at Episkopi-Bamboula and its Greco-Roman successor, Kourion, from the Bronze Age through the Byzantine period. Efforts during these first two seasons concentrated on simple visual inspection of several promising areas near dangerous cliffs, offshore rocks and shallow reefs, as well as potential harbors and anchorages. The team recorded substantial pottery and anchor assemblages at Dreamer?s Bay, Cape Zevgari, and Avdimou Bay, including at least three shipwreck sites. Throughout the area, amphoras and anchors attest to varying levels of maritime activity over the past three millennia.The underwater material record reveals a modest level of Classical trade, followed by a respectable increase during the Hellenistic era. While very little material thus far can be attributed to the earlier Imperial centuries, the greatest quantities in terms of both individual sherds and coherent assemblages speaks strongly to intense trade during the Late Roman (Early Byzantine) period, from the fourth through the seventh century. Not surprisingly, this rapid floruit in maritime trade parallels the expansion of settlement throughout the island, including its eventual collapse in the middle of the seventh century.

Leidwanger, Justin Ryan

2005-12-01T23:59:59.000Z

154

Document ID Number: RL-721  

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

Document ID Number: Document ID Number: RL-721 REV 4 NEPA REVIEW SCREENING FORM DOE/CX-00066 I. Project Title: Nesting Bird Deterrent Study at the 241-C Tank Farm CX B3.8, "Outdoor Terrestrial Ecological and Environmental Research" II. Project Description and Location (including Time Period over which proposed action will occur and Project Dimensions - e.g., acres displaced/disturbed, excavation length/depth, area/location/number of buildings, etc.): Washington River Protection Solutions LLC (WRPS) will perform an outdoor, terrestrial ecological research study to attempt to control and deter nesting birds at the 241-C Tank Farm. This will be a preventative study to test possible methods for controlling &/or minimizing the presence and impacts of nesting birds inside the tank farm. A nesting bird

155

Cathodic Protection of the Yaquina Bay Bridge  

SciTech Connect

The Yaquina Bay Bridge in Newport, Oregon, was designed by Conde B. McCullough and built in 1936. The 3,223-foot (982 m) structure is a combination of concrete arch approach spans and a steel through arch over the shipping channel. Cathodic protection is used to prevent corrosion damage to the concrete arches. The Oregon Department of Transportation (Oregon DOT) installed a carbon anode coating (DAC-85) on two of the north approach spans in 1985. This anode was operated at a current density of 6.6 mA/m2(0.6 mA/ft2). No failure of the conductive anode was observed in 1990, five years after application, or in 2000, 15 years after application. Thermal-sprayed zinc anodes 20 mils (0.5 mm) thick were applied to half the south approach spans beginning in 1990. Thermal-sprayed zinc anodes 15 mils (0.4 mm) thick were applied to the remaining spans in 1996. These anodes were operated at a current density of 2.2 mA/m2(0.2 mA/ft2). In 1999, four zones on the approach spans were included in a two-year field trial of humectants to improve zinc anode performance. The humectants LiNO3 and LiBr were applied to two zones; the two adjacent zones were left untreated as controls. The humectants substantially reduced circuit resistance compared to the controls.

Bullard, Sophie J.; Cramer, Stephen D.; Covino, Bernard S., Jr.; Holcomb, Gordon R.; Russell, James H.; Laylor, H.M.; Cryer, C.B.

2001-02-01T23:59:59.000Z

156

Lower Flathead System Fisheries Study, South Bay of Flathead Lake, Volume III, 1983-1987 Final Report.  

DOE Green Energy (OSTI)

The Lower Flathead System Fisheries Study assessed the effects of Kerr Dam operation on the fisheries of the lower Flathead ecosystem. South Bay, the southern most lobe of Flathead Lake, is the most extensive area of shallow water, and therefore, most effected by changes in lake levels. This study began in January of 1984 and was completed in early 1987. Vegetative and structural cover are relatively limited in South Bay, a condition which could contribute to lower recruitment for some fish species. Our data show that the study area contained 0.04% structural and 5.4% vegetative cover in June at full pool. Both figures are less than 1.0% at minimum pool. Structural complexity mediates the ecological interactions between littoral zone fish and their prey, and can affect local productivity and growth in fish. Structural complexity may also be important to overwinter survival of young perch in Flathead Lake. Winter conditions, including ice cover and fall drawdown, seasonally eliminate the vegetative portion of most rooted macrophytes in South Bay. This results in substantial loss of what little structural cover exists, depriving the perch population of habitat which has been occupied all summer. The loss of cover from draw-down concentrates and probably exposes perch to greater predation, including cannibalism, than would occur if structural complexity were greater. 33 refs., 10 figs., 5 tabs.

Cross, David; Waite, Ian

1988-06-01T23:59:59.000Z

157

Field's Point Wastewater Treatment Facility (Narragansett Bay Commission) |  

Open Energy Info (EERE)

Field's Point Wastewater Treatment Facility (Narragansett Bay Commission) Field's Point Wastewater Treatment Facility (Narragansett Bay Commission) Jump to: navigation, search Name Field's Point Wastewater Treatment Facility (Narragansett Bay Commission) Facility Field's Point Wastewater Treatment Facility (Narragansett Bay Commission) Sector Wind energy Facility Type Community Wind Facility Status In Service Owner Gilbane Building Company Developer Narragansett Bay Commission Energy Purchaser Field's Point Location Providence RI Coordinates 41.79260859°, -71.3896966° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":41.79260859,"lon":-71.3896966,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

158

Critical Areas of State Concern (Maryland) | Department of Energy  

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

of State Concern (Maryland) of State Concern (Maryland) Critical Areas of State Concern (Maryland) < Back Eligibility Construction Developer Industrial Savings Category Alternative Fuel Vehicles Hydrogen & Fuel Cells Buying & Making Electricity Water Home Weatherization Solar Wind Program Info State Maryland Program Type Siting and Permitting Provider Maryland Department of the Environment This legislation designates the Chesapeake Bay, other Atlantic Coastal Bays, and their tributaries and adjacent lands as critical areas of state concern. It is state policy to protect these areas and to prevent the further degradation of water quality. Further development of non-water dependent structures and increase in lot coverage in these areas is presumed to be contrary to the policy of the state, and construction is

159

Texas Natural Gas Number of Industrial Consumers (Number of Elements...  

Annual Energy Outlook 2012 (EIA)

View History: Annual Download Data (XLS File) Texas Natural Gas Number of Industrial Consumers (Number of Elements) Texas Natural Gas Number of Industrial Consumers (Number of...

160

Damping and Phase Advance of the Tide in Western Hudson Bay by the Annual Ice Cover  

Science Conference Proceedings (OSTI)

Admittance analysts of yearlong current meter records and tidal height data shows that the annual ice cover affects the tidal currents and heights in Hudson Bay. Along the west coast of the bay, the semidiurnal tidal current and height are ...

S. J. Prinsenberg

1988-11-01T23:59:59.000Z

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


161

Scaling up Secondary Unit Production in the East Bay: Impacts and Policy Implications  

E-Print Network (OSTI)

of  Oakland’s  housing  units.    The   neighborhoods  05 Scaling up Secondary Unit Production in the East Bay:S CALING  UP  SECONDARY  UNIT  PRODUCTION  IN  THE   E AST  

Wegmann, Jake; Nemirow, Alison; Chapple, Karen

2012-01-01T23:59:59.000Z

162

A Flushing Model of Onslow Bay, North Carolina, Based on Intrusion Volumes  

Science Conference Proceedings (OSTI)

Onslow Bay, North Carolina, is repeatedly flushed by intrusions of Gulf Stream water. An exponential dilution model based on intrusion models indicates 20–60 days are required for 50% dilution of Bay waters.

Larry P. Atkinson; Leonard J. Pietrafesa

1980-03-01T23:59:59.000Z

163

Recent Sediments of Bolinas Bay, California: Part C -- Interpretation and Summary of Results  

E-Print Network (OSTI)

Bay indicates a source in the Franciscan rocks bordering themetamorphic rock of minerals to represent sources. of rock (rock enters the bay, indicating significant contributions of sediment from these sources.

Wilde, Pat; Isselhardt, C.; Osuch, L.; Yancey, T.

1969-01-01T23:59:59.000Z

164

Bay Resource Management Center Biomass Facility | Open Energy Information  

Open Energy Info (EERE)

Center Biomass Facility Center Biomass Facility Jump to: navigation, search Name Bay Resource Management Center Biomass Facility Facility Bay Resource Management Center Sector Biomass Facility Type Municipal Solid Waste Location Bay County, Florida Coordinates 30.1805306°, -85.684578° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":30.1805306,"lon":-85.684578,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

165

Galveston Bay Biodiesel LP GBB | Open Energy Information  

Open Energy Info (EERE)

Galveston Bay Biodiesel LP GBB Galveston Bay Biodiesel LP GBB Jump to: navigation, search Name Galveston Bay Biodiesel LP (GBB) Place Houston, Texas Product Developer of a 75.8m litre per year biodiesel facility on the Galveston Bulk Terminal site, located on Galveston Island. Coordinates 29.76045°, -95.369784° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":29.76045,"lon":-95.369784,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

166

Chesapeake Bay Restoration Act (Maryland) | Department of Energy  

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

Restoration Act (Maryland) Restoration Act (Maryland) Chesapeake Bay Restoration Act (Maryland) < Back Eligibility Agricultural Commercial Construction Developer Industrial Investor-Owned Utility Municipal/Public Utility Rural Electric Cooperative Utility Savings Category Alternative Fuel Vehicles Hydrogen & Fuel Cells Buying & Making Electricity Water Home Weatherization Solar Wind Program Info State Maryland Program Type Environmental Regulations Provider Maryland Department of the Environment This legislation sets limits on development near Chesapeake Bay as well as on dredging and the deposition of dredged material into the bay. The legislation establishes the Cox Creek Citizens Oversight Committee (now mostly defunct); the Hart-Miller-Pleasure Island Oversight Committee, which provides oversight and monitoring of the future development, use, and

167

EIS-0494: Excelerate Liquefaction Solutions Lavaca Bay LNG Project, Calhoun  

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

4: Excelerate Liquefaction Solutions Lavaca Bay LNG Project, 4: Excelerate Liquefaction Solutions Lavaca Bay LNG Project, Calhoun and Jackson Counties, Texas EIS-0494: Excelerate Liquefaction Solutions Lavaca Bay LNG Project, Calhoun and Jackson Counties, Texas SUMMARY The Federal Energy Regulatory Commission (FERC) is preparing, with DOE as a cooperating agency, an EIS to analyze the potential environmental impacts of a proposal to construct and operate a liquefied natural gas terminal consisting of two floating liquefaction, storage and offloading units and a 29-mile pipeline header system to transport natural gas from existing pipeline systems to the LNG terminal facilities. PUBLIC COMMENT OPPORTUNITIES None at this time. DOCUMENTS AVAILABLE FOR DOWNLOAD March 12, 2013 EIS-0494: Notice of Intent to Prepare an Environmental Impact Statement

168

Winchester Bay, Oregon: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

Winchester Bay, Oregon: Energy Resources Winchester Bay, Oregon: Energy Resources (Redirected from Winchester Bay, OR) Jump to: navigation, search Equivalent URI DBpedia Coordinates 43.6770608°, -124.1748369° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":43.6770608,"lon":-124.1748369,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

169

City of Sturgeon Bay, Wisconsin (Utility Company) | Open Energy Information  

Open Energy Info (EERE)

Sturgeon Bay, Wisconsin (Utility Company) Sturgeon Bay, Wisconsin (Utility Company) Jump to: navigation, search Name Sturgeon Bay City of Place Wisconsin Utility Id 18249 Utility Location Yes Ownership M NERC Location MRO NERC MRO Yes ISO MISO Yes Activity Distribution Yes Alt Fuel Vehicle Yes Alt Fuel Vehicle2 Yes References EIA Form EIA-861 Final Data File for 2010 - File1_a[1] LinkedIn Connections CrunchBase Profile No CrunchBase profile. Create one now! This article is a stub. You can help OpenEI by expanding it. Utility Rate Schedules Grid-background.png General Service Commercial General Service TOU - 7am - 7pm Commercial General Service TOU - 8am - 8pm Commercial General Service TOU - 9am - 9pm Commercial General Service Three-phase Commercial General Service Three-phase TOU - 7am - 7pm Commercial

170

RL-721 Document ID Number:  

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

4 4 NEPA REVIEW SCREENING FORM DOE/CX-00075 I. Project Title: Project 1-718, Electrical Utili ties Transformer Management Support Facility II. Project Description and Location (including Time Period over which proposed action will occur and Project Dimensions -e.g., acres displaced/disturbed, excavation length/depth, area/location/number of buildings, etc.): The proposed action includes design, procurement, and construction of a pre-engineered metal building for transformer management; including inspections, routine maintenance, testing, refurbishing, and disposition of excess transformers. The building will be constructed in the previously disturbed, gravel-covered electrical utilities lay-down yard west of the 2101-M Building in 200 East Area of the Hanford Site. The building footprint

171

Number | Department of Energy  

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

Number More Documents & Publications Analysis of Open Office of Inspector General Recommendations, OAS-L-08-07 Policy and International Affairs (WFP) Open Government Plan 2.0...

172

Expected Frobenius numbers  

E-Print Network (OSTI)

We show that for large instances the order of magnitude of the expected Frobenius number is (up to a constant depending only on the dimension) given by its lower bound.

Aliev, Iskander; Hinrichs, Aicke

2009-01-01T23:59:59.000Z

173

RL·721 Document ID Number:  

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

Document ID Number: Document ID Number: REV 3 NEPA REVIEW SCREENING FORM DOE/CX-00045 . J.proj(;l~t Titl~: - - - -- - - - - - - - - - - - - - - - - - -- --------- ------_. . _ - - - - - - - - - - - - - . - - - - - - - - - - - - - - - - - - - LIMITED FIREBREAK MAINTENANCE ON THE HANFORD SITE DURING CALENDAR YEAR 2012 II. Project Description and Location (including Time Period over which proposed action will occur and Project Dimensions· e.g., acres displaced/disturbed, excavation length/depth, etc.): The Department of Energy (DOE) proposes to perform firebreak maintenance in selected areas of the Hanford Site during calendar year 2012 with limited use of physical, chemical, and prescribed burning methods. Prescribed burning will be performed by the Hanford Fire Department under approved burn plans and permits; and only in previously disturbed

174

Sacramento Area Technology Alliance | Open Energy Information  

Open Energy Info (EERE)

Sacramento Area Technology Alliance Sacramento Area Technology Alliance Jump to: navigation, search Logo: Sacramento Area Technology Alliance Name Sacramento Area Technology Alliance Address 5022 Bailey Loop Place McClellan, California Zip 95652 Region Bay Area Coordinates 38.657365°, -121.390278° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":38.657365,"lon":-121.390278,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

175

Exploring the Environmental Effects of Shale Gas Development in the Chesapeake Bay Watershed  

E-Print Network (OSTI)

Exploring the Environmental Effects of Shale Gas Development in the Chesapeake Bay Watershed STAC Committee). 2013. Exploring the environmental effects of shale gas development in the Chesapeake Bay of shale gas development in the Chesapeake Bay Watershed. The purpose of this workshop was to engage

176

Report number codes  

SciTech Connect

This publication lists all report number codes processed by the Office of Scientific and Technical Information. The report codes are substantially based on the American National Standards Institute, Standard Technical Report Number (STRN)-Format and Creation Z39.23-1983. The Standard Technical Report Number (STRN) provides one of the primary methods of identifying a specific technical report. The STRN consists of two parts: The report code and the sequential number. The report code identifies the issuing organization, a specific program, or a type of document. The sequential number, which is assigned in sequence by each report issuing entity, is not included in this publication. Part I of this compilation is alphabetized by report codes followed by issuing installations. Part II lists the issuing organization followed by the assigned report code(s). In both Parts I and II, the names of issuing organizations appear for the most part in the form used at the time the reports were issued. However, for some of the more prolific installations which have had name changes, all entries have been merged under the current name.

Nelson, R.N. (ed.)

1985-05-01T23:59:59.000Z

177

Using Fractional Numbers of . . .  

E-Print Network (OSTI)

One of the design parameters in closed queueing networks is Np, the number of customers of class p. It has been assumed that Np must be an integer. However, integer choices will usually not achieve the target throughput for each class simultaneously. We use Mean Value Analysis with the Schweitzer-Bard approximation and nonlinear programming to determine the value of Np needed to achieve the production targets exactly, although the values of Np may be fractional. We interpret these values to represent the average number of customers of each class in the network. We implement a control rule to achieve these averages and verify our approach through simulation.

Rajan Suri; Rahul Shinde; Mary Vernon

2005-01-01T23:59:59.000Z

178

Interim Closure Activities at Corrective Action Unit 114: Area 25 EMAD Facility, Nevada National Security Site, Nevada  

SciTech Connect

This letter report documents interim activities that have been completed at CAU 114 to support ongoing access and generate information necessary to plan future closure activities. General housekeeping and cleanup of debris was conducted in the EMAD yard, cold bays, support areas of Building 3900, and postmortem cell tunnel area of the hot bay. All non-asbestos ceiling tiles and loose and broken non-friable asbestos floor tiles were removed from support galleries and office areas. Non-radiologically contaminated piping and equipment in the cold areas of the building and in the two 120-ton locomotives in the yard were tapped, characterized, drained, and verified free of contents.

Boehlecke, R. F.

2011-10-24T23:59:59.000Z

179

Research Areas  

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

Areas Areas Research Areas Print Scientists from a wide variety of fields come to the ALS to perform experiements. Listed below are some of the most common research areas covered by ALS beamlines. Below each heading are a few examples of the specific types of topics included in that category. Click on a heading to learn more about that research area at the ALS. Energy Science Photovoltaics, photosynthesis, biofuels, energy storage, combustion, catalysis, carbon capture/sequestration. Bioscience General biology, structural biology. Materials/Condensed Matter Correlated materials, nanomaterials, magnetism, polymers, semiconductors, water, advanced materials. Physics Atomic, molecular, and optical (AMO) physics; accelerator physics. Chemistry Surfaces/interfaces, catalysts, chemical dynamics (gas-phase chemistry), crystallography, physical chemistry.

180

ENSO modulated cyclogenesis over the Bay of Bengal  

Science Conference Proceedings (OSTI)

The role of El Nińo Southern Oscillation (ENSO) on the modulation of tropical cyclone activity over the Bay of Bengal (BoB) for the 1979-2011 period is examined. It is shown that Nińo3.4 sea surface temperature (SST) anomalies are negatively ...

Clifford S. Felton; Bulusu Subrahmanyam; V. S. N. Murty

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


181

A number of organizations,  

E-Print Network (OSTI)

buying power to purchase green power. The city of Chicago has formed an alliance with 47 other local installed solar electric systems on a number of the city's buildings, including the Chicago Center for Green to competition, the city of Chicago and 47 other local government agencies formed the Local Government Power

182

CHEMICAL SAFETY Emergency Numbers  

E-Print Network (OSTI)

- 1 - CHEMICAL SAFETY MANUAL 2010 #12;- 2 - Emergency Numbers UNBC Prince George Campus Security Prince George Campus Chemstores 6472 Chemical Safety 6472 Radiation Safety 5530 Biological Safety 5530 use, storage, handling, waste and emergency management of chemicals on the University of Northern

Bolch, Tobias

183

Disjunctive Rado numbers  

Science Conference Proceedings (OSTI)

If L1 and L2 are linear equations, then the disjunctive Rado number of the set {L1, L2} is the least integer n, provided that it exists, such that for every 2-coloring of ... Keywords: Rado, Ramsey, Schur, disjunctive

Brenda Johnson; Daniel Schaal

2005-11-01T23:59:59.000Z

184

South Dakota Natural Gas Number of Commercial Consumers (Number...  

Gasoline and Diesel Fuel Update (EIA)

View History: Annual Download Data (XLS File) South Dakota Natural Gas Number of Commercial Consumers (Number of Elements) South Dakota Natural Gas Number of Commercial Consumers...

185

South Dakota Natural Gas Number of Residential Consumers (Number...  

Annual Energy Outlook 2012 (EIA)

View History: Annual Download Data (XLS File) South Dakota Natural Gas Number of Residential Consumers (Number of Elements) South Dakota Natural Gas Number of Residential...

186

South Dakota Natural Gas Number of Industrial Consumers (Number...  

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

View History: Annual Download Data (XLS File) South Dakota Natural Gas Number of Industrial Consumers (Number of Elements) South Dakota Natural Gas Number of Industrial Consumers...

187

Preventive Action Number:  

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

7 Corrective Action Report Planning Worksheet 11_0414 1 of 3 7 Corrective Action Report Planning Worksheet 11_0414 1 of 3 EOTA - Business Form Document Title: Corrective Action Report Planning Worksheet Document Number: F-017 Rev 11_0414 Document Owner: Elizabeth Sousa Backup Owner: Melissa Otero Approver(s): Melissa Otero Parent Document: P-008, Corrective/Preventive Action Notify of Changes: EOTA Employees Referenced Document(s): N/A F-017 Corrective Action Report Planning Worksheet 11_0414 2 of 3 Revision History: Rev. Description of Change 08_0613 Initial Release 11_0414 Added problem statement to first block. F-017 Corrective Action Report Planning Worksheet 11_0414 3 of 3 Corrective Action Report Planning Worksheet Corrective Action Number: Source: Details/Problem Statement: Raised By: Raised Date: Target Date:

188

Preventive Action Number:  

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

8 Preventive Action Report Planning Worksheet 11_0414 1 of 3 8 Preventive Action Report Planning Worksheet 11_0414 1 of 3 EOTA - Business Form Document Title: Preventive Action Report Planning Worksheet Document Number: F-018 Rev 11_0414 Document Owner: Elizabeth Sousa Backup Owner: Melissa Otero Approver(s): Melissa Otero Parent Document: P-008, Corrective/Preventive Action Notify of Changes: EOTA Employees Referenced Document(s): N/A F-018 Preventive Action Report Planning Worksheet 11_0414 2 of 3 Revision History: Rev. Description of Change 08_0613 Initial Release 09_0924 Worksheet modified to reflect External Audit recommendation for identification of "Cause for Potential Nonconformance". Minor editing changes. 11_0414 Added Preventive Action Number block to match Q-Pulse

189

Mauna Loa Southwest Rift Geothermal Area | Open Energy Information  

Open Energy Info (EERE)

Well Field Information Development Area: Number of Production Wells: Number of Injection Wells: Number of Replacement Wells: Average Temperature of Geofluid: Sanyal...

190

Research Areas  

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

Research Areas Print Research Areas Print Scientists from a wide variety of fields come to the ALS to perform experiements. Listed below are some of the most common research areas covered by ALS beamlines. Below each heading are a few examples of the specific types of topics included in that category. Click on a heading to learn more about that research area at the ALS. Energy Science Photovoltaics, photosynthesis, biofuels, energy storage, combustion, catalysis, carbon capture/sequestration. Bioscience General biology, structural biology. Materials/Condensed Matter Correlated materials, nanomaterials, magnetism, polymers, semiconductors, water, advanced materials. Physics Atomic, molecular, and optical (AMO) physics; accelerator physics. Chemistry Surfaces/interfaces, catalysts, chemical dynamics (gas-phase chemistry), crystallography, physical chemistry.

191

Finite Neutrosophic Complex Numbers  

E-Print Network (OSTI)

In this book for the first time the authors introduce the notion of real neutrosophic complex numbers. Further the new notion of finite complex modulo integers is defined. For every $C(Z_n)$ the complex modulo integer $i_F$ is such that $2F_i = n - 1$. Several algebraic structures on $C(Z_n)$ are introduced and studied. Further the notion of complex neutrosophic modulo integers is introduced. Vector spaces and linear algebras are constructed using these neutrosophic complex modulo integers.

W. B. Vasantha Kandasamy; Florentin Smarandache

2011-11-01T23:59:59.000Z

192

A Mass Balance for Mercury in the San Francisco Bay Area  

E-Print Network (OSTI)

and transformation of mercury. I. Model development andand transformation of mercury. II. Simulation results forFernandez, G. C. J. , Mercury and plants in contaminated

MacLeod, Matthew; McKone, Thomas E.; Mackay, Don

2005-01-01T23:59:59.000Z

193

Mercury and Methylmercury in the San Francisco Bay area: land-use impact and indicators  

E-Print Network (OSTI)

R.P. , and Flegal A. R. 2003, Mercury speciation in the SanAbdrashitova S. A. , 2001, Mercury in Aquatic Environment: A222 Hydrology for Planner Mercury and Methylmercury in the

Kim, Hyojin

2008-01-01T23:59:59.000Z

194

A Space for Living: Region and Nature in the Bay Area, 1939-1969  

E-Print Network (OSTI)

Of The African-American Architect: Conflicting Cultures OfRoyal Victorian Institute of Architects, 1947); The Age (House, William Wurster architect, 1956. Source: William W.

Allen, Peter Albert

2009-01-01T23:59:59.000Z

195

The Association of Bay Area Health Officials: Advancing Public Health through Regional Networks  

E-Print Network (OSTI)

Monterey  County,  which  also  joined  the  ABAHO  network  within   a  year  of  its   formation.    

Crawley, Adam Wade; Enanoria, Wayne TA

2012-01-01T23:59:59.000Z

196

Paratransit in the San Francisco Bay Area: Providing Feeder Connections to Rail  

E-Print Network (OSTI)

1994. Report: "Light Rail Shuttle Program,AB grant Funding";1994. Report: "Light Rail Shuttle Bus Program:PerformanceJitney - A Commuter Rail Feeder 4.1. San Francisco’s

Cervero, Robert; Kirk, Thomas; Mount, Douglas; Reed, Carma

1995-01-01T23:59:59.000Z

197

Aerial Survey of Bay Area Planned Aug. 27 - Sept. 1 | National...  

National Nuclear Security Administration (NNSA)

Calif. The helicopter will be taking measurements of naturally-occurring background radiation. The helicopter will make daily flights between Aug. 27 and Sept. 1, 2012. The...

198

Organ Trade : sea level rise adaptation strategies for the San Francisco Bay Area  

E-Print Network (OSTI)

It is not only coastal conditions, but inland ones, that can inform an approach to and process of wetland adaptation in the face of sea level rise. A particular watershed clip in Alameda County, located in South San Francisco ...

Ungureanu, Cristina

2010-01-01T23:59:59.000Z

199

The Long Road from Babylon to Brentwood: Crisis and Restructuring in the San Francisco Bay Area  

E-Print Network (OSTI)

uc/item/0qn3z3td Beauregard, R. A. 1993. Voices of decline:an earlier era of crisis (Beauregard 1993). As stark as the

Schafran, Alex

2010-01-01T23:59:59.000Z

200

From Servants To Engineers: Mexican Immigration And Labor Markets In The San Francisco Bay Area  

E-Print Network (OSTI)

Mexican migrants in California havc worked temporarily or1 993), three theories havc been proposed to explain theargues that softwarc factories havc emerged as an attempt to

Alacron, Rafael

1997-01-01T23:59:59.000Z

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


201

KPA Activity Number  

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

supports CMM-SW Level 2 supports CMM-SW Level 2 Mapping of the DOE Systems Engineering Methodology to the Software Engineering Institute (SEI) Software Capability Maturity Model (CMM- SW) level 2. Date: September 2002 Page 1 KPA Activity Number KPA Activity SEM Section SME Work Product SQSE Web Site http://cio.doe.gov/sqse REQUIREMENTS MANAGEMENT RM-1 The software engineering group reviews the allocated requirements before they are incorporated in the software project. Chapter 3.0 * Develop High-Level Project Requirements Chapter 4.0 * Establish Functional Baseline * Project Plan * Requirements Specification Document * Requirements Management awareness * Defining Project Requirements RM-2 The software engineering group uses the allocated requirements as the basis for

202

Photo Identification, Summer Activity Pattern, Estimated Field Metabolic Rate and Territory Quality of Adult Male Sea Otters (Enhydra lutris) in Simpson Bay, Prince William Sound, Alaska  

E-Print Network (OSTI)

This project describes a portion of a long-term study of the behavioral ecology of sea otters. Sub-studies of this project include the development of an individual recognition program for sea otters, the construction of male sea otter activity and energy budgets, and the assessment of male sea otter territory quality. The Sea Otter Nose Matching Program, or "SONMaP", was developed to identify individual sea otters in Simpson Bay, Prince William Sound, Alaska, using a blotch-pattern recognition algorithm based on the shape and location of nose scars. The performance of the SONMaP program was tested using images of otters collected during the 2002-03 field seasons, and previously matched by visually comparing every image in a catalog of 1,638 animals. In 48.9% of the visually matched images, the program accurately selected the correct image in the first 10% of the catalog. Individual follows and instantaneous sampling were used during the summers of 2004-06, to observe male sea otter behavior. Six behaviors (foraging, grooming, interacting with other otters, patrolling, resting, and surface swimming) were observed during four time periods (dawn, day, dusk, night) to create 24-hr activity budgets. Male sea otters spent 27% of their time resting, 26% swimming, 19% grooming, 14% foraging, 9% patrolling and 5% interacting with other otters. Field Metabolic Rate (FMR) was estimated by combining the energetic costs for foraging, grooming, resting, and swimming behaviors of captive otters from Yeates et al. (2007) with these activity budgets. "Swimming" accounted for the greatest percentage (43%) of energy expended each day followed by grooming (23%), resting (15%), feeding (13%) and other (5%). With a peak summer sea otter density of 5.6 otters km-2, the low percentage of time spent foraging indicates that Simpson Bay is below equilibrium density. Territory quality was assessed for male sea otters using four attributes: territory size, shoreline enclosure, accessibility, and number of females observed feeding in each territory. Each attribute was coded with a score of 0-2, and total quality scores ranged from 0.14-1.96 (0.9 + 0.61 SD). High quality territories had large areas, moderate shoreline enclosure, high accessibility, and many foraging females.

Finerty, Shannon E.

2010-05-01T23:59:59.000Z

203

Tonka Bay, Minnesota: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

Tonka Bay, Minnesota: Energy Resources Tonka Bay, Minnesota: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 44.9085741°, -93.5930133° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":44.9085741,"lon":-93.5930133,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

204

Hampton Bays, New York: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

Hampton Bays, New York: Energy Resources Hampton Bays, New York: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 40.8689892°, -72.5175893° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":40.8689892,"lon":-72.5175893,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

205

South Bay, Florida: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

Bay, Florida: Energy Resources Bay, Florida: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 26.6639559°, -80.7161701° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":26.6639559,"lon":-80.7161701,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

206

Nassau Bay, Texas: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

Nassau Bay, Texas: Energy Resources Nassau Bay, Texas: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 29.5446753°, -95.0910413° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":29.5446753,"lon":-95.0910413,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

207

Microsoft Word - Green Bay Notes - FINAL.doc  

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

(DOE) (DOE) TRANSPORTATION EXTERNAL COORDINATION (TEC) WORKING GROUP MEETING September 13-14, 2006 Green Bay, WI Welcome and Meeting Overview The U.S. Department of Energy (DOE), Transportation External Coordination Working Group (TEC) held its 26 th meeting on September 13-14, 2006, in Green Bay, WI. One- hundred thirty-two participants, representing national, State, Tribal, and local government; industry; professional organizations; and other interested parties, met to address a variety of issues related to DOE's radioactive materials transportation activities. The TEC process includes the involvement of these key stakeholders in developing solutions to DOE transportation issues through their actual participation in the work product. These members provide continuing and improved coordination between DOE,

208

Lakes by the Bay, Florida: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

the Bay, Florida: Energy Resources the Bay, Florida: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 25.5723287°, -80.3253308° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":25.5723287,"lon":-80.3253308,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

209

Suttons Bay, Michigan: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

Suttons Bay, Michigan: Energy Resources Suttons Bay, Michigan: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 44.9766663°, -85.6506387° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":44.9766663,"lon":-85.6506387,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

210

Half Moon Bay, California: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

Bay, California: Energy Resources Bay, California: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 37.4635519°, -122.4285862° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":37.4635519,"lon":-122.4285862,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

211

MHK Projects/Whiskey Bay | Open Energy Information  

Open Energy Info (EERE)

Whiskey Bay Whiskey Bay < MHK Projects Jump to: navigation, search << Return to the MHK database homepage Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":5,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"500px","height":"350px","centre":false,"title":"","label":"","icon":"File:Aquamarine-marker.png","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":30.4014,"lon":-91.6961,"alt":0,"address":"","icon":"http:\/\/prod-http-80-800498448.us-east-1.elb.amazonaws.com\/w\/images\/7\/74\/Aquamarine-marker.png","group":"","inlineLabel":"","visitedicon":""}]}

212

Discovery Bay, California: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

Discovery Bay, California: Energy Resources Discovery Bay, California: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 37.9085357°, -121.6002291° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":37.9085357,"lon":-121.6002291,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

213

Morro Bay, California: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

Morro Bay, California: Energy Resources Morro Bay, California: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 35.3658075°, -120.8499013° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":35.3658075,"lon":-120.8499013,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

214

The Daya Bay Reactor Neutrino Experiment Sees Evidence that Electron  

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

Science Highlights » 2013 Science Highlights » 2013 » The Daya Bay Reactor Neutrino Experiment Sees Evidence that Electron Neutrinos Turn into Muon Neutrinos High Energy Physics (HEP) HEP Home About Research Facilities Science Highlights Benefits of HEP Funding Opportunities Advisory Committees News & Resources Contact Information High Energy Physics U.S. Department of Energy SC-25/Germantown Building 1000 Independence Ave., SW Washington, DC 20585 P: (301) 903-3624 F: (301) 903-2597 E: sc.hep@science.doe.gov More Information » June 2013 The Daya Bay Reactor Neutrino Experiment Sees Evidence that Electron Neutrinos Turn into Muon Neutrinos Surprisingly large effect greatly increases the probability that new neutrino experiments will be able to see the differences between matter and

215

Kawela Bay, Hawaii: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

Kawela Bay, Hawaii: Energy Resources Kawela Bay, Hawaii: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 21.7033333°, -158.01° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":21.7033333,"lon":-158.01,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

216

Put-in-Bay, Ohio: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

Put-in-Bay, Ohio: Energy Resources Put-in-Bay, Ohio: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 41.6542158°, -82.8207429° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":41.6542158,"lon":-82.8207429,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

217

Cutler Bay, Florida: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

Cutler Bay, Florida: Energy Resources Cutler Bay, Florida: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 25.5783°, -80.3377° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":25.5783,"lon":-80.3377,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

218

MHK Projects/Swansea Bay | Open Energy Information  

Open Energy Info (EERE)

Swansea Bay Swansea Bay < MHK Projects Jump to: navigation, search << Return to the MHK database homepage Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":5,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"500px","height":"350px","centre":false,"title":"","label":"","icon":"File:Aquamarine-marker.png","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":51.5818,"lon":-3.89843,"alt":0,"address":"","icon":"http:\/\/prod-http-80-800498448.us-east-1.elb.amazonaws.com\/w\/images\/7\/74\/Aquamarine-marker.png","group":"","inlineLabel":"","visitedicon":""}]}

219

Runaway Bay, Texas: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

Runaway Bay, Texas: Energy Resources Runaway Bay, Texas: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 33.1678941°, -97.8783696° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":33.1678941,"lon":-97.8783696,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

220

Buzzards Bay, Massachusetts: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

Buzzards Bay, Massachusetts: Energy Resources Buzzards Bay, Massachusetts: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 41.7453829°, -70.618087° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":41.7453829,"lon":-70.618087,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

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


221

Microsoft Word - P-12711 Cobscook Bay Project EA.doc  

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

ENVIRONMENTAL ASSESSMENT ENVIRONMENTAL ASSESSMENT FOR HYDROPOWER PROJECT PILOT LICENSE Cobscook Bay Tidal Energy Project-FERC Project No. 12711-005 (DOE/EA1916) Maine Federal Energy Regulatory Commission Office of Energy Projects Division of Hydropower Licensing 888 First Street, NE Washington, DC 20426 U.S. Department of Energy Office of Energy Efficiency and Renewable Energy Golden Field Office 1617 Cole Boulevard Golden, Colorado 80401 January 2012 i TABLE OF CONTENTS LIST OF FIGURES ............................................................................................................ iv LIST OF TABLES............................................................................................................... v EXECUTIVE SUMMARY ................................................................................................

222

Weighting and Bayes Nets for Rollup of Surveillance Metrics  

SciTech Connect

The LANL IKE team proposes that the surveillance metrics for several data stream that are used to detect the same failure mode be weighted. Similarly, the failure mode metrics are weighted to obtain a subsystem metric. E.g., if there n data streams (nodes 1-n), the failure mode (node 0) metric is obtained as M{sub 0} = w{sub 1}M{sub 1} + {hor_ellipsis} + w{sub n}M{sub n}, where {Sigma}{sub i=1}{sup n} w{sub i} = 1. This proposal has been implemented with Bayes Nets using the Netica/IKE software by specifying an appropriate conditional probability table (CPT). This CPT is calculated using the same form as (1), where the data stream metrics for the true (T) and false (F) states are replaced by 1 and 0, respectively. Then using this CPT, the failure mode metric calculated by Netica/IKE equals (1). This result has two nice features. First, the rollup Bayes nets is doing can be easily explained. Second, because Bayes Nets can implement this rollup using Netica/IKE, then data marshalling (allocating next year's budget) can be studied. A proof that the claim 'failure mode metric calculated by Netica/IKE equals (1)' for n = 2 and n = 3 follows as well as the sketch of a proof by induction for general n.

Henson, Kriste [Los Alamos National Laboratory; Sentz, Kari [Los Alamos National Laboratory; Hamada, Michael [Los Alamos National Laboratory

2012-04-30T23:59:59.000Z

223

Utah Natural Gas Number of Commercial Consumers (Number of Elements...  

Gasoline and Diesel Fuel Update (EIA)

Commercial Consumers (Number of Elements) Utah Natural Gas Number of Commercial Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8...

224

Utah Natural Gas Number of Industrial Consumers (Number of Elements...  

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

Industrial Consumers (Number of Elements) Utah Natural Gas Number of Industrial Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8...

225

Utah Natural Gas Number of Residential Consumers (Number of Elements...  

Annual Energy Outlook 2012 (EIA)

Residential Consumers (Number of Elements) Utah Natural Gas Number of Residential Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7...

226

California Natural Gas Number of Industrial Consumers (Number...  

Gasoline and Diesel Fuel Update (EIA)

Industrial Consumers (Number of Elements) California Natural Gas Number of Industrial Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7...

227

California Natural Gas Number of Commercial Consumers (Number...  

Gasoline and Diesel Fuel Update (EIA)

Commercial Consumers (Number of Elements) California Natural Gas Number of Commercial Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7...

228

Ohio Natural Gas Number of Commercial Consumers (Number of Elements...  

Gasoline and Diesel Fuel Update (EIA)

Commercial Consumers (Number of Elements) Ohio Natural Gas Number of Commercial Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8...

229

Ohio Natural Gas Number of Residential Consumers (Number of Elements...  

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

Residential Consumers (Number of Elements) Ohio Natural Gas Number of Residential Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7...

230

Ohio Natural Gas Number of Industrial Consumers (Number of Elements...  

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

Industrial Consumers (Number of Elements) Ohio Natural Gas Number of Industrial Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8...

231

Wisconsin Natural Gas Number of Industrial Consumers (Number...  

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

Industrial Consumers (Number of Elements) Wisconsin Natural Gas Number of Industrial Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7...

232

Wisconsin Natural Gas Number of Residential Consumers (Number...  

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

Residential Consumers (Number of Elements) Wisconsin Natural Gas Number of Residential Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7...

233

Wisconsin Natural Gas Number of Commercial Consumers (Number...  

Annual Energy Outlook 2012 (EIA)

Commercial Consumers (Number of Elements) Wisconsin Natural Gas Number of Commercial Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7...

234

Michigan Natural Gas Number of Residential Consumers (Number...  

Gasoline and Diesel Fuel Update (EIA)

Residential Consumers (Number of Elements) Michigan Natural Gas Number of Residential Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7...

235

Michigan Natural Gas Number of Industrial Consumers (Number of...  

Annual Energy Outlook 2012 (EIA)

Industrial Consumers (Number of Elements) Michigan Natural Gas Number of Industrial Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7...

236

Idaho Natural Gas Number of Industrial Consumers (Number of Elements...  

Annual Energy Outlook 2012 (EIA)

Industrial Consumers (Number of Elements) Idaho Natural Gas Number of Industrial Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7...

237

Idaho Natural Gas Number of Commercial Consumers (Number of Elements...  

Annual Energy Outlook 2012 (EIA)

Commercial Consumers (Number of Elements) Idaho Natural Gas Number of Commercial Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7...

238

Idaho Natural Gas Number of Residential Consumers (Number of...  

Annual Energy Outlook 2012 (EIA)

Residential Consumers (Number of Elements) Idaho Natural Gas Number of Residential Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7...

239

Connecticut Natural Gas Number of Residential Consumers (Number...  

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

Residential Consumers (Number of Elements) Connecticut Natural Gas Number of Residential Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6...

240

Hawaii Natural Gas Number of Residential Consumers (Number of...  

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

Residential Consumers (Number of Elements) Hawaii Natural Gas Number of Residential Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7...

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


241

Kentucky Natural Gas Number of Residential Consumers (Number...  

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

Residential Consumers (Number of Elements) Kentucky Natural Gas Number of Residential Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7...

242

Tennessee Natural Gas Number of Residential Consumers (Number...  

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

Residential Consumers (Number of Elements) Tennessee Natural Gas Number of Residential Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7...

243

Maryland Natural Gas Number of Residential Consumers (Number...  

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

Residential Consumers (Number of Elements) Maryland Natural Gas Number of Residential Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7...

244

Louisiana Natural Gas Number of Residential Consumers (Number...  

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

Residential Consumers (Number of Elements) Louisiana Natural Gas Number of Residential Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7...

245

Alabama Natural Gas Number of Residential Consumers (Number of...  

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

Residential Consumers (Number of Elements) Alabama Natural Gas Number of Residential Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7...

246

Oklahoma Natural Gas Number of Residential Consumers (Number...  

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

Residential Consumers (Number of Elements) Oklahoma Natural Gas Number of Residential Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7...

247

Alaska Natural Gas Number of Residential Consumers (Number of...  

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

Residential Consumers (Number of Elements) Alaska Natural Gas Number of Residential Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7...

248

Kansas Natural Gas Number of Residential Consumers (Number of...  

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

Residential Consumers (Number of Elements) Kansas Natural Gas Number of Residential Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7...

249

Illinois Natural Gas Number of Residential Consumers (Number...  

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

Residential Consumers (Number of Elements) Illinois Natural Gas Number of Residential Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7...

250

Maine Natural Gas Number of Residential Consumers (Number of...  

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

Residential Consumers (Number of Elements) Maine Natural Gas Number of Residential Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7...

251

Florida Natural Gas Number of Residential Consumers (Number of...  

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

Residential Consumers (Number of Elements) Florida Natural Gas Number of Residential Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7...

252

Iowa Natural Gas Number of Residential Consumers (Number of Elements...  

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

Residential Consumers (Number of Elements) Iowa Natural Gas Number of Residential Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7...

253

Georgia Natural Gas Number of Residential Consumers (Number of...  

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

Residential Consumers (Number of Elements) Georgia Natural Gas Number of Residential Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7...

254

Arkansas Natural Gas Number of Residential Consumers (Number...  

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

Residential Consumers (Number of Elements) Arkansas Natural Gas Number of Residential Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7...

255

Missouri Natural Gas Number of Residential Consumers (Number...  

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

Residential Consumers (Number of Elements) Missouri Natural Gas Number of Residential Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7...

256

Montana Natural Gas Number of Residential Consumers (Number of...  

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

Residential Consumers (Number of Elements) Montana Natural Gas Number of Residential Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7...

257

Nevada Natural Gas Number of Residential Consumers (Number of...  

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

Residential Consumers (Number of Elements) Nevada Natural Gas Number of Residential Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7...

258

Mississippi Natural Gas Number of Residential Consumers (Number...  

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

Residential Consumers (Number of Elements) Mississippi Natural Gas Number of Residential Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6...

259

Arizona Natural Gas Number of Residential Consumers (Number of...  

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

Residential Consumers (Number of Elements) Arizona Natural Gas Number of Residential Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7...

260

Pennsylvania Natural Gas Number of Residential Consumers (Number...  

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

Residential Consumers (Number of Elements) Pennsylvania Natural Gas Number of Residential Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6...

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


261

Nebraska Natural Gas Number of Residential Consumers (Number...  

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

Residential Consumers (Number of Elements) Nebraska Natural Gas Number of Residential Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7...

262

Minnesota Natural Gas Number of Residential Consumers (Number...  

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

Residential Consumers (Number of Elements) Minnesota Natural Gas Number of Residential Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7...

263

Massachusetts Natural Gas Number of Residential Consumers (Number...  

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

Residential Consumers (Number of Elements) Massachusetts Natural Gas Number of Residential Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6...

264

Delaware Natural Gas Number of Residential Consumers (Number...  

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

Residential Consumers (Number of Elements) Delaware Natural Gas Number of Residential Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7...

265

Vermont Natural Gas Number of Residential Consumers (Number of...  

Gasoline and Diesel Fuel Update (EIA)

Residential Consumers (Number of Elements) Vermont Natural Gas Number of Residential Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7...

266

Vermont Natural Gas Number of Industrial Consumers (Number of...  

Annual Energy Outlook 2012 (EIA)

Industrial Consumers (Number of Elements) Vermont Natural Gas Number of Industrial Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7...

267

Vermont Natural Gas Number of Commercial Consumers (Number of...  

Annual Energy Outlook 2012 (EIA)

Commercial Consumers (Number of Elements) Vermont Natural Gas Number of Commercial Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7...

268

Colorado Natural Gas Number of Industrial Consumers (Number of...  

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

Industrial Consumers (Number of Elements) Colorado Natural Gas Number of Industrial Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7...

269

Colorado Natural Gas Number of Residential Consumers (Number...  

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

Residential Consumers (Number of Elements) Colorado Natural Gas Number of Residential Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7...

270

Colorado Natural Gas Number of Commercial Consumers (Number of...  

Gasoline and Diesel Fuel Update (EIA)

Commercial Consumers (Number of Elements) Colorado Natural Gas Number of Commercial Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7...

271

Illinois Natural Gas Number of Industrial Consumers (Number of...  

Annual Energy Outlook 2012 (EIA)

Industrial Consumers (Number of Elements) Illinois Natural Gas Number of Industrial Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7...

272

New Mexico Natural Gas Number of Industrial Consumers (Number...  

Annual Energy Outlook 2012 (EIA)

Industrial Consumers (Number of Elements) New Mexico Natural Gas Number of Industrial Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7...

273

New Mexico Natural Gas Number of Residential Consumers (Number...  

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

(Number of Elements) New Mexico Natural Gas Number of Residential Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9...

274

New Mexico Natural Gas Number of Commercial Consumers (Number...  

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

(Number of Elements) New Mexico Natural Gas Number of Commercial Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's...

275

Texas Natural Gas Number of Commercial Consumers (Number of Elements...  

Gasoline and Diesel Fuel Update (EIA)

Commercial Consumers (Number of Elements) Texas Natural Gas Number of Commercial Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7...

276

Texas Natural Gas Number of Residential Consumers (Number of...  

Annual Energy Outlook 2012 (EIA)

Residential Consumers (Number of Elements) Texas Natural Gas Number of Residential Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7...

277

Radiological Areas  

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

Revision to Clearance Policy Associated with Recycle of Scrap Metals Originating from Revision to Clearance Policy Associated with Recycle of Scrap Metals Originating from Radiological Areas On July 13, 2000, the Secretary of Energy imposed an agency-wide suspension on the unrestricted release of scrap metal originating from radiological areas at Department of Energy (DOE) facilities for the purpose of recycling. The suspension was imposed in response to concerns from the general public and industry groups about the potential effects of radioactivity in or on material released in accordance with requirements established in DOE Order 5400.5, Radiation Protection of the Public and Environment. The suspension was to remain in force until DOE developed and implemented improvements in, and better informed the public about, its release process. In addition, in 2001 the DOE announced its intention to prepare a

278

Load test of the 277W Building high bay roof deck and support structure  

SciTech Connect

The 277W Building high bay roof area was load tested according to the approved load-test procedure, WHC-SD-GN-TP-30015, Revision 1. The 277W Building is located in the 200 West Area of the Hanford Site and has the following characteristics: roof deck -- wood decking supported by 4 x 14 timber purlins; roof membrane -- tar and gravel; roof slope -- flat (<10 deg); and roof elevation -- maximum height of about 63 ft. The 227W Building was visited in March 1994 for a visual inspection. During this inspection, cracked areas were visible in the decking, but it was not possible to determine whether these cracks extended completely through the decking, which is 2-in. thick. The building was revisited in March 1994 for the purpose of writing this test report. Because the roof requires personnel access, a test was determined to be the best way to qualify the roof. The conclusions are that the roof has been qualified for 500-lb total roof load and that the ``No Roof Access`` signs can be changed to ``Roof Access Restricted`` signs.

McCoy, R.M.

1994-12-02T23:59:59.000Z

279

Load test of the 277W Building high bay roof deck and support structure  

Science Conference Proceedings (OSTI)

The 277W Building high bay roof area was load tested according to the approved load-test procedure, WHC-SD-GN-TP-30015, Revision 1. The 277W Building is located in the 200 West Area of the Hanford Site and has the following characteristics: roof deck -- wood decking supported by 4 x 14 timber purlins; roof membrane -- tar and gravel; roof slope -- flat (roof elevation -- maximum height of about 63 ft. The 227W Building was visited in March 1994 for a visual inspection. During this inspection, cracked areas were visible in the decking, but it was not possible to determine whether these cracks extended completely through the decking, which is 2-in. thick. The building was revisited in March 1994 for the purpose of writing this test report. Because the roof requires personnel access, a test was determined to be the best way to qualify the roof. The conclusions are that the roof has been qualified for 500-lb total roof load and that the ``No Roof Access`` signs can be changed to ``Roof Access Restricted`` signs.

McCoy, R.M.

1994-12-02T23:59:59.000Z

280

FEMP ESPC Success Story - U.S. Naval Station, Guantanamo Bay...  

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

Stewardship and Cost Savings These photographs chronicle the installation of the wind turbines at John Paul Jones Hill, Guantanamo Bay. The four wind turbine towers are...

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


281

Current Perspectives on the Physical and Biological Processes of Humboldt Bay  

E-Print Network (OSTI)

northern Alaska; Cosmopolitan ( Hartman 1969). Humboldt Bay,canyon depths in silty mud; Cosmopolitan (Hartman 1969). New1996). Distribution: Cosmopolitan, in intertidal sand flats

Schlosser, S. C.; Rasmussen, R.

2007-01-01T23:59:59.000Z

282

The hunt for theta13 at the Daya Bay nuclear power plant  

E-Print Network (OSTI)

The Daya Bay reactor neutrino experiment is located at the Daya Bay nuclear power plant in Shenzhen, China. The experiment deploys eight "identical" antineutrino detectors to measure antineutrino fluxes from six 2.9 GW_{th} reactor cores in three underground experimental halls at different distances. The target zone of the Daya Bay detector is filled with 20 t 0.1% Gd doped LAB liquid scintillator. The baseline uncorrelated detector uncertainty is ~0.38% using current experimental techniques. Daya Bay can reach a sensitivity of <0.01 to $sin^2 2theta_{13}$ with baseline uncertainties after 3 years of data taking.

Wei Wang; for the Daya Bay collaboration

2009-10-23T23:59:59.000Z

283

The hunt for theta13 at the Daya Bay nuclear power plant  

E-Print Network (OSTI)

The Daya Bay reactor neutrino experiment is located at the Daya Bay nuclear power plant in Shenzhen, China. The experiment deploys eight "identical" antineutrino detectors to measure antineutrino fluxes from six 2.9 GW_{th} reactor cores in three underground experimental halls at different distances. The target zone of the Daya Bay detector is filled with 20 t 0.1% Gd doped LAB liquid scintillator. The baseline uncorrelated detector uncertainty is ~0.38% using current experimental techniques. Daya Bay can reach a sensitivity of <0.01 to $sin^2 2theta_{13}$ with baseline uncertainties after 3 years of data taking.

Wang, Wei

2009-01-01T23:59:59.000Z

284

The Amazing Number Pi - CECM  

E-Print Network (OSTI)

found that the circular area is to the ... area of an equilateral rectangle is to .... 1987 134,217,700. Chudnovskys. 1989. 1 Billion. Kanada. 1997. 51 Billion.

285

Number: 305 Most Dangerous Vehicles ...  

Science Conference Proceedings (OSTI)

... top> Number: 314 Marine Vegetation Description: Commercial harvesting of marine vegetation such as algae, seaweed and ...

2002-12-12T23:59:59.000Z

286

Theorem Proving with the Real Numbers  

E-Print Network (OSTI)

This thesis discusses the use of the real numbers in theorem proving. Typically, theorem provers only support a few `discrete' datatypes such as the natural numbers. However the availability of the real numbers opens up many interesting and important application areas, such as the verification of floating point hardware and hybrid systems. It also allows the formalization of many more branches of classical mathematics, which is particularly relevant for attempts to inject more rigour into computer algebra systems. Our work is conducted in a version of the HOL theorem prover. We describe the rigorous definitional construction of the real numbers, using a new version of Cantor's method, and the formalization of a significant portion of real analysis. We also describe an advanced derived decision procedure for the `Tarski subset' of real algebra as well as some more modest but practically useful tools for automating explicit calculations and routine linear arithmetic reasoning. Finally,...

John Robert Harrison

1996-01-01T23:59:59.000Z

287

Meter-baseline tests of sterile neutrinos at Daya Bay  

E-Print Network (OSTI)

We explore the sensitivity of an experiment at the Daya Bay site, with a point radioactive source and a few meter baseline, to neutrino oscillations involving one or more eV mass sterile neutrinos. We find that within a year, the entire 3+2 and 1+3+1 parameter space preferred by global fits can be excluded at the 3\\sigma level, and if an oscillation signal is found, the 3+1 and 3+2 scenarios can be distinguished from each other at more than the 3\\sigma level provided one of the sterile neutrinos is lighter than 0.5 eV.

Y. Gao; D. Marfatia

2013-02-22T23:59:59.000Z

288

Numerical Simulation of a Satellite-Observed Calm Zone in Montetey Bay, California  

Science Conference Proceedings (OSTI)

Satellite imagery from 18 April 1978 suggests the presence of a semicircular zone of calm or new-calm seas in Monterey Bay, California. It is hypothesized that sea breeze circulations account for the calm zone in the bay, although a lack of in ...

Rolf H. Langland; Paul M. Tag; Robert W. Fett

1987-12-01T23:59:59.000Z

289

Comparing Bayes model averaging and stacking when model approximation error cannot be ignored  

Science Conference Proceedings (OSTI)

We compare Bayes Model Averaging, BMA, to a non-Bayes form of model averaging called stacking. In stacking, the weights are no longer posterior probabilities of models; they are obtained by a technique based on cross-validation. When the correct data ...

Bertrand Clarke

2003-12-01T23:59:59.000Z

290

Modelling the Mean Barotropic Circulation in the Bay of Fundy and Gulf of Maine  

Science Conference Proceedings (OSTI)

Two dimensional, nonlinear numerical models are used to study the residual barotropic circulation generated by tides and steady winds in the Bay of Fundy and Gulf of Maine. The first a multi-grid model, is used to examine the Bay of Fundy with a ...

David A. Greenberg

1983-05-01T23:59:59.000Z

291

Characteristics and Trends of River Discharge into Hudson, James, and Ungava Bays, 1964–2000  

Science Conference Proceedings (OSTI)

The characteristics and trends of observed river discharge into the Hudson, James, and Ungava Bays (HJUBs) for the period 1964–2000 are investigated. Forty-two rivers with outlets into these bays contribute on average 714 km3 yr?1 [= 0.023 Sv (1 ...

Stephen J. Déry; Marc Stieglitz; Edward C. McKenna; Eric F. Wood

2005-07-01T23:59:59.000Z

292

A Pb isotope record of mid-Atlantic US atmospheric Pb emissions in Chesapeake Bay sediments  

E-Print Network (OSTI)

A Pb isotope record of mid-Atlantic US atmospheric Pb emissions in Chesapeake Bay sediments Franco Marcantonio a,*, Andrew Zimmerman b,1 , Yingfeng Xu a , Elizabeth Canuel b a Department of Geology, Institute analyzed sediments from three sites in the mesohaline portion of Chesapeake Bay (CB) for Pb isotopes

293

Observations of Shallow-Water Transport and Shear in Western Florida Bay  

Science Conference Proceedings (OSTI)

Acoustic Doppler profiler (ADP) data are used to describe depth-integrated transport and vertical shear at two study sites along the open western boundary of Florida Bay. During a 404-day study period, transport was into the bay at the northern ...

Ned P. Smith

2000-07-01T23:59:59.000Z

294

Prudhoe Bay Oil Production Optimization: Using Virtual intelligence Techniques, Stage One: Neural Model Building  

E-Print Network (OSTI)

SPE 77659 Prudhoe Bay Oil Production Optimization: Using Virtual intelligence Techniques, Stage One Exploration (Alaska) and Carl D. Sisk SPE, BP Exploration Copyright 2002, Society of Petroleum Engineers Inc, TX 75083-3836, U.S.A., fax 01-972-952-9435. Abstract Field data from the Prudhoe Bay oil field

Mohaghegh, Shahab

295

CHANGE OF NAME TIAA Annuity Number CREF Annuity Number TIAA Policy Number  

E-Print Network (OSTI)

CHANGE OF NAME TIAA Annuity Number CREF Annuity Number TIAA Policy Number Social Security Number and only use black or dark blue ink. Return this form to: TIAA-CREF P.O. Box 1264 Charlotte, NC 28201 NOTE City State Zip Code For TIAA-CREF USE ONLY Accepted -- Teachers Insurance and Annuity Association

Snider, Barry B.

296

EA-1916: Ocean Renewable Power Company Maine, LLC Cobscook Bay Tidal Energy  

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

16: Ocean Renewable Power Company Maine, LLC Cobscook Bay 16: Ocean Renewable Power Company Maine, LLC Cobscook Bay Tidal Energy Pilot Project, Cobscook in Washington County, Maine EA-1916: Ocean Renewable Power Company Maine, LLC Cobscook Bay Tidal Energy Pilot Project, Cobscook in Washington County, Maine Summary This EA evaluates the environmental impacts of a project that would use the tidal currents of Cobscook Bay to generate electricity via cross-flow Kinetic System turbine generator units (TGU) mounted on the seafloor. The TGUs would capture energy from the flow in both ebb and flood directions. Public Comment Opportunities None available at this time. Documents Available for Download March 19, 2012 EA-1916: Finding of No Significant Impact Ocean Renewable Power Company Maine, LLC Cobscook Bay Tidal Energy Pilot

297

Geek-Up[2.24.2011]: Dynamical Fingerprints and Daya Bay | Department of  

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

Geek-Up[2.24.2011]: Dynamical Fingerprints and Daya Bay Geek-Up[2.24.2011]: Dynamical Fingerprints and Daya Bay Geek-Up[2.24.2011]: Dynamical Fingerprints and Daya Bay February 25, 2011 - 4:37pm Addthis Nuclear power plants like the twin Daya Bay reactors, yield large amounts of electron antineutrinos -- millions of quadrillions of them every second. | Photo Courtesy of Roy Kaltschmidt, Lawrence Berkeley National Laboratory Nuclear power plants like the twin Daya Bay reactors, yield large amounts of electron antineutrinos -- millions of quadrillions of them every second. | Photo Courtesy of Roy Kaltschmidt, Lawrence Berkeley National Laboratory Niketa Kumar Niketa Kumar Public Affairs Specialist, Office of Public Affairs Researchers at Oak Ridge National Lab have a developed "fingerprints" to match the results of experiments with data from supercomputer

298

Geek-Up[2.24.2011]: Dynamical Fingerprints and Daya Bay | Department of  

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

2.24.2011]: Dynamical Fingerprints and Daya Bay 2.24.2011]: Dynamical Fingerprints and Daya Bay Geek-Up[2.24.2011]: Dynamical Fingerprints and Daya Bay February 25, 2011 - 4:37pm Addthis Nuclear power plants like the twin Daya Bay reactors, yield large amounts of electron antineutrinos -- millions of quadrillions of them every second. | Photo Courtesy of Roy Kaltschmidt, Lawrence Berkeley National Laboratory Nuclear power plants like the twin Daya Bay reactors, yield large amounts of electron antineutrinos -- millions of quadrillions of them every second. | Photo Courtesy of Roy Kaltschmidt, Lawrence Berkeley National Laboratory Niketa Kumar Niketa Kumar Public Affairs Specialist, Office of Public Affairs Researchers at Oak Ridge National Lab have a developed "fingerprints" to match the results of experiments with data from supercomputer

299

EA-1916: Ocean Renewable Power Company Maine, LLC Cobscook Bay Tidal Energy  

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

1916: Ocean Renewable Power Company Maine, LLC Cobscook Bay 1916: Ocean Renewable Power Company Maine, LLC Cobscook Bay Tidal Energy Pilot Project, Cobscook in Washington County, Maine EA-1916: Ocean Renewable Power Company Maine, LLC Cobscook Bay Tidal Energy Pilot Project, Cobscook in Washington County, Maine Summary This EA evaluates the environmental impacts of a project that would use the tidal currents of Cobscook Bay to generate electricity via cross-flow Kinetic System turbine generator units (TGU) mounted on the seafloor. The TGUs would capture energy from the flow in both ebb and flood directions. Public Comment Opportunities None available at this time. Documents Available for Download March 19, 2012 EA-1916: Finding of No Significant Impact Ocean Renewable Power Company Maine, LLC Cobscook Bay Tidal Energy Pilot

300

Number  

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

NATIONAL ENERGY POLICY NATIONAL ENERGY POLICY STATUS REPORT on Implementation of NEP Recommendations January, 2005 1 NEP RECOMMENDATIONS: STATUS OF IMPLEMENTATION Chapter 1 1. That the President issue an Executive Order to direct all federal agencies to include in any regulatory action that could significantly and adversely affect energy supplies, distribution, or use, a detailed statement of energy effects and alternatives in submissions to the Office of Management and Budget of proposed regulations covered and all notices of proposed regulations published in the Federal Register. STATUS: IMPLEMENTED. In May 2001, President Bush issued Executive Order 13211 requiring federal agencies to include, in any regulatory action that could significantly and

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


301

The Distribution of Ramsey Numbers  

E-Print Network (OSTI)

We prove that the number of integers in the interval [0,x] that are non-trivial Ramsey numbers r(k,n) (3 order of magnitude (x ln x)**(1/2).

Clark, Lane

2013-01-01T23:59:59.000Z

302

Number: 1394 Description: In what ...  

Science Conference Proceedings (OSTI)

... Number: 1752 Description: When was the Oklahoma City bombing? ... name of the plane that dropped the Atomic Bomb on Hiroshima? ...

2003-02-12T23:59:59.000Z

303

Data Compression with Prime Numbers  

E-Print Network (OSTI)

A compression algorithm is presented that uses the set of prime numbers. Sequences of numbers are correlated with the prime numbers, and labeled with the integers. The algorithm can be iterated on data sets, generating factors of doubles on the compression.

Gordon Chalmers

2005-11-16T23:59:59.000Z

304

Attenuation structure of Coso geothermal area, California, from...  

Open Energy Info (EERE)

Number: Unavailable DOI: Unavailable Source: View Original Journal Article Micro-Earthquake At Coso Geothermal Area (1996) Coso Geothermal Area Retrieved from "http:...

305

A mixed carbonate/clastic example in a restricted bay in a temperate carbonate shelf (Cala Fornells, northern Minorca Spain)  

Science Conference Proceedings (OSTI)

Cala Fornells is a restricted bay located in the northern section of the island Minorca. Cala Fornells has a surface area of 4 km{sup 2} and a maximum depth of 25 m at the mouth, which connects with the northern Minorca platform. Due to ephemeral streams with very fine textural inflow, the sedimentary facies present in the floor of the bay are primarily controlled by the bioclastic carbonate ecosystem production and the terrigenous input. The distribution of the facies is related to three major factors: (1) bathymetry, which controls the ecosystem distribution (Cymodocea nodosa-Caulerpa prolifera, Posidonia oceanica, and maeerl communities, from shallowest to deepest); (2) hydrodynamic conditions due to northern winds (locally called Tramuntana), which control the grain size distribution; and (3) local ephemeral streams, which control the terrigenous input. In the coarser fractions of the sediment (gravel and sand), the main component in the deepest zones are skeletal fragments of red algae. The shallowest zones contain fragments of the green alga Halimeda tuna, which may represent up to 50% of the total bioclastic fraction. The terrigenous components are mostly shales and only locally do they find a sand fragment of limestone and quartz grains. The organic matter content is very high (over 6% in the finest fractions), whereas in the more hydrodynamic and deeper facies (25 m) where the bioclastic fractions are predominant, the organic carbon content is below 0.5%.

Fornos, J.J.; Forteza, V.; Jaume, C.; Martinez-Taberner, A. (Univ. Illes Balears, Palma de Mallorca (Spain))

1990-05-01T23:59:59.000Z

306

Resource intensification in pre-contact central California: a bioarchaeological perspective on diet and health patterns among hunter-gatherers from the lower Sacramento Valley and San Francisco Bay  

E-Print Network (OSTI)

In this study, I use bioarchaeological data derived from human burials to evaluate subsistence change in mid-to-late Holocene central California (circa 4950-200 B.P.). Previous investigations in the region have proposed two competing models to account for changes in subsistence patterns. The seasonal stress hypothesis argues that the increased reliance on acorns and small seeds during the late Holocene led to improved health status, since these resources could be stored and used as a Â?bufferÂ? against seasonal food shortages. In contrast, resource intensification models predict temporal declines in health during the late Holocene, as measured by a decline in dietary quality and health status, increased population crowding, and greater levels of sedentism. I test the hypothesis that health status, as measured by childhood stress and disease indicators, declined during the late Holocene in central California. I analyzed 511 human skeletons from ten archaeological sites in the Sacramento Valley and San Francisco Bay area to investigate temporal and spatial variability in diet and health. I analyzed a subset (n = 111) of this sample to evaluate prehistoric dietary patterns using carbon and nitrogen stable isotope ratios. Indicators of health status show significant temporal and regional variation. In the Valley, tibial periosteal reactions, porotic hyperostosis, and enamel hypoplasias significantly increased through time, implying a decline in health status. In the Bay, health indicators show little temporal variability. However, inter-regional comparisons indicate a higher prevalence of stress and disease indicators among Bay Area skeletons than in the Valley skeletal series. The stable isotope data from human bone collagen and apatite also indicate significant interregional differences in prehistoric diets between the Bay and the Valley. In the Bay, diets shifted from high trophic level marine foods to a more terrestrially focused diet over time. In the Valley, there are no significant dietary trends observed in the data. Dental caries and antemortem tooth loss are significantly more prevalent in the Valley than in the Bay, and closely match the isotopic findings. The paleopathological findings provide support for late Holocene resource intensification models posited for the Valley, but not for the Bay Area.

Bartelink, Eric John

307

Aeromagnetic Survey At Kawaihae Area (Thomas, 1986) | Open Energy  

Open Energy Info (EERE)

Kawaihae Area (Thomas, 1986) Kawaihae Area (Thomas, 1986) Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Aeromagnetic Survey At Kawaihae Area (Thomas, 1986) Exploration Activity Details Location Kawaihae Area Exploration Technique Aeromagnetic Survey Activity Date Usefulness useful DOE-funding Unknown Notes The aeromagnetic data noted above refer to a low-level aeromagnetic survey that was flown over the entire island of Hawaii at an altitude of approximately 300 m. The results of the survey over Kawaihae clearly indicate an anomalously magnetized body between the town of Waimea and Kawaihae Bay to the west. References Donald M. Thomas (1 January 1986) Geothermal Resources Assessment In Hawaii Retrieved from "http://en.openei.org/w/index.php?title=Aeromagnetic_Survey_At_Kawaihae_Area_(Thomas,_1986)&oldid=402415

308

Load test of the 272E Building high bay roof deck and support structure  

SciTech Connect

The 272E Building high bay roof area was load tested according to the approved load-test procedure. The 272E Building is located in the 200 East Area of the Hanford Site and has the following characteristics: Roof deck -- wood decking supported by 4 x 14 timber purlins; Roof membrane -- tar and gravel; Roof slope -- flat (<10 deg); and Roof elevation -- maximum height of about 63 ft. The 272 Building was visited in August 1992 for a visual inspection. During this inspection, cracked areas were visible in the decking, but it was not possible to determine whether these cracks extended completely through the decking, which is 2-in. thick. The building was revisited in March 1994 for the purpose of writing this test report. Because the roof requires personnel access, a test was determine to be the best way to qualify the roof. The pre-test briefing consisted of filling out the pre-test checklist, discussing proper lifting techniques, reviewing the fall-protection plan, reviewing the job hazards analysis, and reviewing the robot travel path. The load-test results consist of visual observations and the test engineer`s conclusions. Visual observations found no adverse conditions such as large deflections or permanent deformations. No deflection measurements were recorded because the tar and gravel on roof get displaced by the robot tracks; the result is large variations in deflection measurements. The conclusions are that the roof has been qualified for 500-lb total roof load and that the ``No Roof Access`` signs can be changed to ``Roof Access Restricted`` signs.

McCoy, R.M.

1994-11-01T23:59:59.000Z

309

City of Bay City, Michigan (Utility Company) | Open Energy Information  

Open Energy Info (EERE)

City, Michigan (Utility Company) City, Michigan (Utility Company) Jump to: navigation, search Name City of Bay City Place Michigan Utility Id 1366 Utility Location Yes Ownership M NERC Location ECAR NERC RFC Yes ISO MISO Yes Operates Generating Plant Yes Activity Generation Yes Activity Buying Transmission Yes Activity Distribution Yes References EIA Form EIA-861 Final Data File for 2010 - File1_a[1] LinkedIn Connections CrunchBase Profile No CrunchBase profile. Create one now! This article is a stub. You can help OpenEI by expanding it. Utility Rate Schedules Grid-background.png COMMERCIAL DEMAND RATE Commercial COMPANY OWNED STREET LIGHTING (High Pressure Sodium - 100 WATTS) Lighting COMPANY OWNED STREET LIGHTING (High Pressure Sodium - 150 WATTS) Lighting COMPANY OWNED STREET LIGHTING (High Pressure Sodium - 250 WATTS) Lighting

310

Coos Bay, Oregon: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

Oregon: Energy Resources Oregon: Energy Resources (Redirected from Coos Bay, OR) Jump to: navigation, search Equivalent URI DBpedia Coordinates 43.3665007°, -124.2178903° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":43.3665007,"lon":-124.2178903,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

311

Multi-AUV control and adaptive sampling in Monterey Bay  

E-Print Network (OSTI)

Abstract—Operations with multiple autonomous underwater vehicles (AUVs) have a variety of underwater applications. For example, a coordinated group of vehicles with environmental sensors can perform adaptive ocean sampling at the appropriate spatial and temporal scales. We describe a methodology for cooperative control of multiple vehicles based on virtual bodies and artificial potentials (VBAP). This methodology allows for adaptable formation control and can be used for missions such as gradient climbing and feature tracking in an uncertain environment. We discuss our implementation on a fleet of autonomous underwater gliders and present results from sea trials in Monterey Bay in August, 2003. These at-sea demonstrations were performed as part of the Autonomous Ocean Sampling Network (AOSN) II project. Index Terms—Adaptive sampling, autonomous underwater vehicles (AUVs), cooperative control, formations, gradient climbing, underwater gliders. I.

Edward Fiorelli; Naomi Ehrich Leonard; Senior Member; Pradeep Bhatta; Derek A. Paley; Student Member; Ralf Bachmayer; David M. Fratantoni

2004-01-01T23:59:59.000Z

312

Manual Calibration System for Daya Bay Reactor Neutrino Experiment  

E-Print Network (OSTI)

The Daya Bay Reactor Neutrino Experiment has measured the last unknown neutrino mixing angle, {\\theta}13, to be non-zero at the 7.7{\\sigma} level. This is the most precise measurement to {\\theta}13 to date. To further enhance the understanding of the response of the antineutrino detectors (ADs), a detailed calibration of an AD with the Manual Calibration System (MCS) was undertaken during the summer 2012 shutdown. The MCS is capable of placing a radioactive source with a positional accuracy of 25 mm in R direction, 20 mm in Z axis and 0.5{\\deg} in {\\Phi} direction. A detailed description of the MCS is presented followed by a summary of its performance in the AD calibration run.

Hanxiong Huang; Xichao Ruan; Jie Ren; Chengjun Fan; Yannan Chen; Yinglong Lv; Zhaohui Wang; Zuying Zhou; Long Hou; Biao Xin; Chaoju Yu; Jiawen Zhang; Yinghong Zhang; Jingzhi Bai; Honglin Zhuang; Wei He; Jianglai Liu; Elizabeth Worcester; Harry Themann; Jeff Cherwinka; David M. Webber

2013-05-10T23:59:59.000Z

313

Forecasting the Bayes factor of a future observation  

E-Print Network (OSTI)

I present a new procedure to forecast the Bayes factor of a future observation by computing the Predictive Posterior Odds Distribution (PPOD). This can assess the power of future experiments to answer model selection questions and the probability of the outcome, and can be helpful in the context of experiment design. As an illustration, I consider a central quantity for our understanding of the cosmological concordance model, namely the scalar spectral index of primordial perturbations, n_S. I show that the Planck satellite has over 90% probability of gathering strong evidence against n_S = 1, thus conclusively disproving a scale-invariant spectrum. This result is robust with respect to a wide range of choices for the prior on n_S.

Roberto Trotta

2007-03-05T23:59:59.000Z

314

Design and implementation of four enhanced recovery projects in bay fields of south Louisiana  

SciTech Connect

This paper reviews the design and implementation of four enhanced recovery projects that were initiated in the shallow-water environment of two bay fields located along the coastline of South Louisiana. These four projects are a caustic augmented waterflood, a miscible carbon dioxide waterflood, both in Quarantine Bay Field, and two polymer augmented waterfloods in the West Bay Field. The paper focuses on the design modifications required for the projects due to the hostile overwater environment and the logistics problems associated with the locations of the projects.

Boardman, R.S.; Moore, L.J.; Julian, M.H.; Bilbrey, D.G.; Moore, J.S.

1982-01-01T23:59:59.000Z

315

Design and implementation of four enhanced recovery projects in bay fields of South Louisiana  

SciTech Connect

This paper reviews the design and implementation of four enhanced recovery projects that were initiated in the shallow-water environment of two bay fields located along the coastline of South Louisiana. These four projects are a caustic augmented waterflood, a miscible carbon dioxide waterflood, both in Quarantine Bay Field, and two polymer augmented waterfloods in the West Bay Field. The paper focuses on the design modifications required for the projects due to the hostile overwater environment and the logistics problems associated with the locations of the projects. 4 refs.

Boardman, R.S.; Moore, L.J.; Julian, M.H.; Bilbrey, D.G.; Moore, J.S.

1982-01-01T23:59:59.000Z

316

Surface Currents and Winds at the Delaware Bay Mouth  

SciTech Connect

Knowledge of the circulation of estuaries and adjacent shelf waters has relied on hydrographic measurements, moorings, and local wind observations usually removed from the region of interest. Although these observations are certainly sufficient to identify major characteristics, they lack both spatial resolution and temporal coverage. High resolution synoptic observations are required to identify important coastal processes at smaller scales. Long observation periods are needed to properly sample low-frequency processes that may also be important. The introduction of high-frequency (HF) radar measurements and regional wind models for coastal studies is changing this situation. Here we analyze synoptic, high-resolution surface winds and currents in the Delaware Bay mouth over an eight-month period (October 2007 through May 2008). The surface currents were measured by two high-frequency radars while the surface winds were extracted from a data-assimilating regional wind model. To illustrate the utility of these monitoring tools we focus on two 45-day periods which previously were shown to present contrasting pictures of the circulation. One, the low-outflow period is from 1 October through 14 November 2007; the other is the high-outflow period from 3 March through 16 April 2008. The large-scale characteristics noted by previous workers are clearly corroborated. Specifically the M2 tide dominates the surface currents, and the Delaware Bay outflow plume is clearly evident in the low frequency currents. Several new aspects of the surface circulation were also identified. These include a map of the spatial variability of the M2 tide (validating an earlier model study), persistent low-frequency cross-mouth flow, and a rapid response of the surface currents to a changing wind field. However, strong wind episodes did not persist long enough to set up a sustained Ekman response.

Muscarella, P A; Barton, N P; Lipphardt, B L; Veron, D E; Wong, K C; Kirwan, A D

2011-04-06T23:59:59.000Z

317

Role of Morphological Growth State and Gene Expression in Desulfovibrio africanus strain Walvis Bay Mercury Methylation  

Science Conference Proceedings (OSTI)

The biogeochemical transformations of mercury are a complex process, with the production of methylmercury, a potent human neurotoxin, repeatedly demonstrated in sulfate- and Fe(III)- reducing as well as methanogenic bacteria. However, little is known regarding the morphology, genes or proteins involved in methylmercury generation. Desulfovibrio africanus strain Walvis Bay is a Hg-methylating -proteobacterium with a sequenced genome and has unusual pleomorphic forms. In this study, a relationship between the pleomorphism and Hg methylation was investigated. Proportional increases in the sigmoidal (regular) cell form corresponded with increased net MeHg production, but decreased when the pinched cocci (persister) form became the major morphotype. D. africanus microarrays indicated that the ferrous iron transport genes (feoAB), as well as ribosomal genes and several genes whose products are predicted to have metal binding domains (CxxC), were up-regulated during exposure to Hg in the exponential phase. While no specific methylation pathways were identified, the finding that Hg may interfere with iron transport and the correlation of growth-phase dependent morphology with MeHg production are notable. The identification of these relationships between differential gene expression, morphology, and the growth phase dependence of Hg transformations suggests that actively growing cells are primarily responsible for methylation, and so areas with ample carbon and electron-acceptor concentrations may also generate a higher proportion of methylmercury than more oligotrophic environments. The observation of increased iron transporter expression also suggests that Hg methylation may interfere with iron biogeochemical cycles.

Moberly, James G [ORNL; Miller, Carrie L [ORNL; Brown, Steven D [ORNL; Biswas, Abir [ORNL; Brandt, Craig C [ORNL; Palumbo, Anthony Vito [ORNL; Elias, Dwayne A [ORNL

2012-01-01T23:59:59.000Z

318

Dynamic virtual credit card numbers  

Science Conference Proceedings (OSTI)

Theft of stored credit card information is an increasing threat to e-commerce.We propose a dynamic virtual credit card number scheme that reduces the damage caused by stolen credit card numbers. A user can use an existing credit card account to generate ... Keywords: credit card theft, e-commerce

Ian Molloy; Jiangtao Li; Ninghui Li

2007-02-01T23:59:59.000Z

319

Phone Numbers for Beam Lines and Other Services | Stanford Synchrotron  

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

Phone Numbers for Beam Lines and Other Services Phone Numbers for Beam Lines and Other Services The local area code for SSRL is 650. All numbers listed below should be dialed as 650-926-xxxx from other area codes. When calling an onsite location from within SSRL simply dial the 4-digit extension. When calling an offsite number within the 650 area code dial, dial 9 plus the 7-digit number. To call a number in another area code dial 9-1-area code - phone number. Beam Lines Beam Line Extension 1-4 5214 1-5 5215 2-1 5221 2-2 5222 2-3 5223 3-3 5233 3-4 5234 4-1 5241 4-2 5242 4-3 5243 5-2 5252 5-3 5253 5-4 5254 6-2 5262 7-1 5271 7-2 5272 7-3 5273 8-1 5281 8-2 5282 9-1 5291 9-2 5292 9-3 5293 10-1 5101 10-2 5102 11-1 8648 11-2 8650 11-3 8656 12-2 5212 13-1 5131 13-2 5132 13-3 5133 User Labs/Services Building Lab/Service Extension

320

Modeling Air–Land–Sea Interactions Using the Integrated Regional Model System in Monterey Bay, California  

Science Conference Proceedings (OSTI)

The air–land–sea interaction in the vicinity of Monterey Bay, California, is simulated and investigated using a new Integrated Regional Model System (I-RMS). This new model realistically resolves coastal processes and submesoscale features that ...

Yu-Heng Tseng; Shou-Hung Chien; Jiming Jin; Norman L. Miller

2012-04-01T23:59:59.000Z

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


321

Doe Bay Village Resort Pool & Spa Low Temperature Geothermal Facility |  

Open Energy Info (EERE)

Doe Bay Village Resort Pool & Spa Low Temperature Geothermal Facility Doe Bay Village Resort Pool & Spa Low Temperature Geothermal Facility Jump to: navigation, search Name Doe Bay Village Resort Pool & Spa Low Temperature Geothermal Facility Facility Doe Bay Village Resort Sector Geothermal energy Type Pool and Spa Location Olga, Washington Coordinates Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[]}

322

Aspects of the ecology and behaviour of bottlenose dolphins (Tursiops truncatus) in Santa Monica Bay, California  

E-Print Network (OSTI)

D.L. 1999. Inshore and offshore bottlenose dolphin (Tursiopsin deeper waters further offshore (>0.5km). No correlationsschools observed inshore and offshore in the bay, with the

Bearzi, Maddalena

2004-01-01T23:59:59.000Z

323

Mesoscale Organization and Cloud Microphysics in a Bay of Bengal Depression  

Science Conference Proceedings (OSTI)

Airborne radar and cloud microphysical data were obtained throughout a monsoon depression observed over the Bay of Bengal on 3–8 July 1979 during the Summer Monsoon Experiment of the Global Atmospheric Research Programme. The precipitation in the ...

Robert A. Houze Jr.; Dean D. Churchill

1987-07-01T23:59:59.000Z

324

Climate Change, Justice, and Adaptation among African American Communities in the Chesapeake Bay Region  

Science Conference Proceedings (OSTI)

In this paper, the authors present results from a study of climate change and community adaptation, focusing on two African American communities on the Eastern Shore of the Chesapeake Bay. These two communities are representative of small, ...

Michael Paolisso; Ellen Douglas; Ashley Enrici; Paul Kirshen; Chris Watson; Matthias Ruth

2012-01-01T23:59:59.000Z

325

Targeting Net Zero Energy at Marine Corps Base Kaneohe Bay, Hawaii: Assessment and Recommendations  

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

NREL performed a comprehensive assessment to appraise the potential of MCBH Kaneohe Bay to achieve net zero energy status through energy efficiency, renewable energy, and electric vehicle integration. This report summarizes the results of the assessment and provides energy recommendations.

326

Structure, Propagation, and Mixing of Energetic Baroclinic Tides in Mamala Bay, Oahu, Hawaii  

Science Conference Proceedings (OSTI)

Large semidiurnal vertical displacements (?100 m) and strong baroclinic currents (?0.5 m s?1; several times as large as barotropic currents) dominate motions in Mamala Bay, outside the mouth of Pearl Harbor, Hawaii. During September 2002, the ...

Matthew H. Alford; Michael C. Gregg; Mark A. Merrifield

2006-06-01T23:59:59.000Z

327

Multiscale Processes and Nonlinear Dynamics of the Circulation and Upwelling Events off Monterey Bay  

Science Conference Proceedings (OSTI)

The nonlinear multiscale dynamics of the Monterey Bay circulation during the Second Autonomous Ocean Sampling Network (AOSN-II) Experiment (August 2003) is investigated in an attempt to understand the complex processes underlying the highly ...

X. San Liang; Allan R. Robinson

2009-02-01T23:59:59.000Z

328

Scale-dependent dispersion within the stratified interior on the shelf of northern Monterey Bay  

Science Conference Proceedings (OSTI)

Autonomous underwater vehicle measurements are used to quantify lateral dispersion of a continuously released Rhodamine WT dye plume within the stratified interior of shelf waters in northern Monterey Bay, CA. The along-shelf evolution of the ...

Ryan J. Moniz; Derek A. Fong; C. Brock Woodson; Susan K. Willis; Mark T. Stacey; Stephen G. Monismith

329

Present Wave Climate in the Bay of Biscay: Spatiotemporal Variability and Trends from 1958 to 2001  

Science Conference Proceedings (OSTI)

Climate change impacts on wave conditions can increase the risk of offshore and coastal hazards. The present paper investigates wave climate multidecadal trends and interannual variability in the Bay of Biscay during the past decades (1958–2001). ...

Elodie Charles; Déborah Idier; Jérôme Thiébot; Gonéri Le Cozannet; Rodrigo Pedreros; Fabrice Ardhuin; Serge Planton

2012-03-01T23:59:59.000Z

330

Functional Empirical Bayes Methods for Identifying Genes with Different Time-course Expression Profiles  

E-Print Network (OSTI)

a mixed-e?ects model with B-splines. Bioinformatics, 19:474-Bayes, Gibbs-sampler, B-spline, False discovery rate, geneand propose to use cubic B-splines (De Boor, 1978) to

Hong, Fangxin; Li, Hongzhe

2004-01-01T23:59:59.000Z

331

Time-averaged fluxes of lead and fallout radionuclides to sediments in Florida Bay  

E-Print Network (OSTI)

Time-averaged fluxes of lead and fallout radionuclides to sediments in Florida Bay J. A. Robbins,1 between the maximum atmospheric radionuclide fallout and peaks in sediment temporal records of 137 Cs

332

Minimum bayes risk decoding with enlarged hypothesis space in system combination  

Science Conference Proceedings (OSTI)

This paper describes a new system combination strategy in Statistical Machine Translation. Tromble et al. (2008) introduced the evidence space into Minimum Bayes Risk decoding in order to quantify the relative performance within lattice or n-best output ...

Tsuyoshi Okita; Josef van Genabith

2012-03-01T23:59:59.000Z

333

An Advanced Data Assimilation System for the Chesapeake Bay: Performance Evaluation  

Science Conference Proceedings (OSTI)

An advanced data assimilation system, the local ensemble transform Kalman filter (LETKF), has been interfaced with a Regional Ocean Modeling System (ROMS) implementation on the Chesapeake Bay (ChesROMS) as a first step toward a reanalysis and ...

Matthew J. Hoffman; Takemasa Miyoshi; Thomas W. N. Haine; Kayo Ide; Christopher W. Brown; Raghu Murtugudde

2012-10-01T23:59:59.000Z

334

A study of on-line quasi-Bayes adaptation for CDHMM-based speech recognition  

Science Conference Proceedings (OSTI)

We present a framework of quasi-Bayes (QB) learning of the parameters of the continuous density hidden Markov model (CDHMM) with Gaussian mixture state observation densities. Based on the theory of recursive Bayesian inference, the QB algorithm is designed ...

Qiang Huo; Chin-Hui Lee

1996-05-01T23:59:59.000Z

335

Dynamics of Willapa Bay, Washington: A Highly Unsteady, Partially Mixed Estuary  

Science Conference Proceedings (OSTI)

Results from 3 yr of hydrographic time series are shown for Willapa Bay, Washington, a macrotidal, partially mixed estuary whose river and ocean end members are both highly variable. Fluctuating ocean conditions— alternations between wind-driven ...

N. S. Banas; B. M. Hickey; P. MacCready; J. A. Newton

2004-11-01T23:59:59.000Z

336

Abyssal Penetration and Bottom Reflection of Internal Tidal Energy in the Bay of Biscay  

Science Conference Proceedings (OSTI)

This paper describes field observations in the Bay of Biscay, and presents convincing evidence for the existence of a broad beam of internal tidal energy propagating downward from a source region on the upper continental slopes, which, after ...

R. D. Pingree; A. L. New

1991-01-01T23:59:59.000Z

337

Multiyear Observations of Cloud Lines Associated with the Chesapeake and Delaware Bays  

Science Conference Proceedings (OSTI)

Satellite and corresponding near-surface in situ observations have been made of single- and dual-band cloud events [dubbed anomalous cloud lines (ACLs)] associated with the Chesapeake and Delaware Bays. A previous study developed the basis for ...

Todd D. Sikora; David M. Halverson

2002-08-01T23:59:59.000Z

338

Summer Cumulus Cloud Seeding Experiments near Yellowknife and Thunder Bay, Canada  

Science Conference Proceedings (OSTI)

A summer (June and July) cumulus cloud seeding experiment was conducted in Canada near Yellowknife in 1975 and 1976, and Thunder Bay in 1977 and 1978. Microphysical and dynamical measurements were made with three instrumented aircraft, flying in ...

G. A. Isaac; J. W. Strapp; R. S. Schemenauer; J. I. Macpherson

1982-09-01T23:59:59.000Z

339

Dynamics and Ecosystem threats of Bidirectional Cordgrass Hybridization in San Francisco Bay  

E-Print Network (OSTI)

CALEPPC), October 2002, Sacramento, CA Sloop CM, Ayres DR,Delta Science Meeting, Sacramento, CA. Hall RJ , HastingsBay Delta Science Meeting, Sacramento, CA Sloop C, Ayres DR,

Strong, Donald R.; Ayres, D R

2005-01-01T23:59:59.000Z

340

Evaluation of 1991-1992 Brood Overwinter-Reared Coho Released from Net Pens in Youngs Bay, Oregon : Final Completion Report Youngs Bay Terminal Fishery Project.  

DOE Green Energy (OSTI)

Funding from Bonneville Power Administration was provided to the Oregon Department of Fish and Wildlife and the Clatsop County Economic Development Council`s Fisheries Project to identify and develop terminal fishing opportunities. The 1991 and 1992 brood fingerling coho from Oregon Department of Fish and Wildlife hatcheries were successfully reared during the winter period to smolt stage in Youngs Bay utilizing floating net pens. Based on coded-wire-tag recoveries during 1991--93 from 2-week net-pen acclimation releases, total accountability of coho adults averaged 40,540 fish, with the Youngs Bay commercial harvest accounting for 39%. With reduced ocean harvest impacts during 1994 and 1995, 92% of 51,640 coho in 1994 and 68% of 23,599 coho in 1995 (based on coded-wire-tag recoveries) were accounted for in the Youngs Bay commercial fishery for combined 2-week and overwinter acclimation net-pen releases. Overwinter net-pen acclimation coho accounted for 35,063 and 15,775 coho adults in 1994 and 1995 with 93% and 68% accountable in the Youngs Bay commercial harvest. Based on coded-wire-tag recoveries, less than 1% of the adults resulting from releases at Youngs Bay net pens strayed to hatcheries, while none were recovered on spawning ground surveys during 1991--95. The highest survival rates were observed for 1991 and 1992 brood overwinter coho released in early May. Time of release, not rearing strategy, appears to be the determining factor affecting survival in Youngs Bay.

Hirose, Paul S.

1997-01-01T23:59:59.000Z

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


341

California Natural Gas Number of Residential Consumers (Number of Elements)  

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

Residential Consumers (Number of Elements) Residential Consumers (Number of Elements) California Natural Gas Number of Residential Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 7,626 7,904,858 8,113,034 8,313,776 1990's 8,497,848 8,634,774 8,680,613 8,726,187 8,790,733 8,865,541 8,969,308 9,060,473 9,181,928 9,331,206 2000's 9,370,797 9,603,122 9,726,642 9,803,311 9,957,412 10,124,433 10,329,224 10,439,220 10,515,162 10,510,950 2010's 10,542,584 10,625,190 10,681,916 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 12/12/2013 Next Release Date: 1/7/2014 Referring Pages: Number of Natural Gas Residential

342

Generating Multivariate Nonnormal Distribution Random Numbers Based on Copula Function  

E-Print Network (OSTI)

Abstract. Random numbers of multivariate nonnormal distribution are strongly requested by the area of theoretic research and application in practice. A new algorithm of generating multivariate nonnormal distribution random numbers is given based on the Copula function, and theoretic analysis suggests that the algorithm is suitable to be feasible. Furthermore, simulation shows that the empirical distribution which is formed by random numbers generating from the proposed algorithm can well approach the original distribution.

Xiaoping Hu; Jianmin He; Hongsheng Ly

2006-01-01T23:59:59.000Z

343

Stochastic Low Reynolds Number Swimmers  

E-Print Network (OSTI)

As technological advances allow us to fabricate smaller autonomous self-propelled devices, it is clear that at some point directed propulsion could not come from pre-specified deterministic periodic deformation of the swimmer's body and we need to develop strategies to extract a net directed motion from a series of random transitions in the conformation space of the swimmer. We present a theoretical formulation to describe the "stochastic motor" that drives the motion of low Reynolds number swimmers based on this concept, and use it to study the propulsion of a simple low Reynolds number swimmer, namely, the three-sphere swimmer model. When the detailed-balanced is broken and the motor is driven out of equilibrium, it can propel the swimmer in the required direction. The formulation can be used to study optimal design strategies for molecular-scale low Reynolds number swimmers.

Ramin Golestanian; Armand Ajdari

2009-01-12T23:59:59.000Z

344

HOOPER BAY HOUSING ANALYSIS AND ENERGY FEASIBILITY REPORT  

Science Conference Proceedings (OSTI)

Sea Lion applied for and received a grant from the Department of Energy (DOE) towards this end titled â??Energy Efficiency Development and Deployment in Indian Countryâ?ť. The initial objectives of the Hooper Bay Energy Efficiency Feasibility Study were to demonstrate a 30% reduction in residential/commercial energy usage and identify the economic benefits of implementing energy efficiency measures to the Tribe through: (1) partnering with Whitney Construction and Solutions for Healthy Breathing in the training and hire of 2 local energy assessors to conduct energy audits of 9 representative housing models and 2 commercial units in the community. These homes are representative of 52 homes constructed across different eras. (2) partnering with Cold Climate Housing Research Center to document current electrical and heating energy consumption and analyze data for a final feasibility report (3) assessing the economics of electricity & heating fuel usage; (4) projecting energy savings or fossil fuel reduction by modeling of improvement scenarios and cost feasibility The following two objectives will be completed after the publication of this report: (5) the development of materials lists for energy efficiency improvements (6) identifying financing options for the follow-up energy efficiency implementation phase.

SEA LION CORPORATION; COLD CLIMATE HOUSING RESEARCH CENTER; SOLUTIONS FOR HEALTHY BREATHING; WHITNEY CONSTRUCTION

2012-12-30T23:59:59.000Z

345

Undergraduate Catalog Phone Numbers & Address  

E-Print Network (OSTI)

Interest Research Exemption Programs 11 ReglsJrationPeriod III 6 Group (WashPIRG) 14 Faculty Number 9 State NaUonal Guard ' . , Full-Time Student Requirements __'_ 9 Service and Research Credit 10 Tuition notice. All announcements in the Time Schedule are subject to change without notice and do not constitute

Kelly, Scott David

346

MOTOR POOL RESERVATIONS Reservation Number:_______________  

E-Print Network (OSTI)

MOTOR POOL RESERVATIONS Reservation Number:_______________ Evanston campus: Chicago campus: 2020: 312/503-9243 E-mail: motor-pool@northwestern.edu E-mail: motor-pool@northwestern.edu Hours: 8:00 a reservations require the "Organization Authorization for University Vehicles" form to be faxed to Motor Pool

Shull, Kenneth R.

347

RIN Number 1904-AB68  

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

Federal Procurement of Energy Efficient Products Federal Procurement of Energy Efficient Products RIN NUMBER: 1904-AB68 CLOSING DATE: August 20, 2007 COMMENT NUMBER DATE RECEIVED/ DATE OF LETTER NAME & TITLE OF COMMENTATOR AFFILIATION & ADDRESS OF COMMENTATOR 1 ? 7/31/07 Edwin Pinero Federal Environmental Executive Office of the Federal Environmental Executive 1200 Pennsylvania Avenue, NW Mail Code 1600J Washington, DC 20460 2 8/8/07 (e-mail) Bob Null President Arkansas Lamp Manufacturing bnull@arkansaslamp.com 3 8/10/07 (e-mail) Dawn Gunning Environmental Program Manager Department of Justice Dawn.M.Gunning@usdoj.gov 4 8/14/07 8/14/07 Kyle Pitsor Vice President, Government Relations National Electrical Manufacturers Association 1300 North 17th Street, Suite 1752 Rosslyn, VA 22209

348

RIN Number 1904-AB68  

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

RULEMAKING TITLE: Federal Procurement of Energy Efficient Products RULEMAKING TITLE: Federal Procurement of Energy Efficient Products RIN NUMBER: 1904-AB68 CLOSING DATE: August 20, 2007 COMMENT NUMBER DATE RECEIVED/ DATE OF LETTER NAME & TITLE OF COMMENTATOR AFFILIATION & ADDRESS OF COMMENTATOR 1 ? 7/31/07 Edwin Pinero Federal Environmental Executive Office of the Federal Environmental Executive 1200 Pennsylvania Avenue, NW Mail Code 1600J Washington, DC 20460 2 8/8/07 (e-mail) Bob Null President Arkansas Lamp Manufacturing bnull@arkansaslamp.com 3 8/10/07 (e-mail) Dawn Gunning Environmental Program Manager Department of Justice Dawn.M.Gunning@usdoj.gov 4 8/14/07 8/14/07 Kyle Pitsor Vice President, Government Relations National Electrical Manufacturers Association 1300 North 17th Street, Suite 1752

349

Unexpected increasing AOT trends over northwest Bay of Bengal in the early postmonsoon season  

Science Conference Proceedings (OSTI)

The main point of our study is that aerosol trends can be created by changes in meteorology without changes in aerosol source strength. Over the 10 year period 2000–2009, in October, Moderate Resolution Imaging Spectroradiometer (MODIS) showed strong increasing aerosol optical thickness (AOT) trends of approximately 14% yr-1 over northwest Bay of Bengal (BoB) in the absence of AOT trends over the east of the Indian subcontinent. This was unexpected because sources of anthropogenic pollution were located over the Indian subcontinent and aerosol transport from the Indian subcontinent to northwest BoB was carried out by prevailing winds. In October, winds over the east of the Indian subcontinent were stronger than winds over northwest BoB, which resulted in wind convergence and accumulation of aerosol particles over northwest BoB. Moreover, there was an increasing trend in wind convergence over northwest BoB. This led to increasing trends in the accumulation of aerosol particles over northwest BoB and, consequently, to strong AOT trends over this area. In contrast to October, November showed no increasing AOT trends over northwest BoB or the nearby Indian subcontinent. The lack of AOT trends over northwest BoB corresponds to a lack of trends in wind convergence in that region. Finally, December domestic heating by the growing population resulted in positive AOT trends of similar magnitude over land and sea. Our findings illustrate that in order to explain and predict trends in regional aerosol loading, meteorological trends should be taken into consideration together with changes in aerosol source strength.

Kishcha, P.; Starobinets, B.; Long, Charles N.; Alpert, P.

2012-12-13T23:59:59.000Z

350

Strategic Focus Areas  

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

Focus Areas Lockheed Martin on behalf of Sandia National Laboratories will consider grant requests that best support the Corporation's strategic focus areas and reflect effective...

351

Optimization of Solar Cell Design for Use with GreenVolts CPV System: Cooperative Research and Development Final Report, CRADA Number CRD-08-00281  

DOE Green Energy (OSTI)

GreenVolts, a Bay area start-up, was developing a CPV system that was based on a unique reflective optical design. They were interested in adapting the inverted GaInP/GaAs/GaInAs cell structure designed at NREL for use in their system. The purpose of this project was to optimize the inverted GaInP/GaAs/GaInAs cell for operation in the GreenVolts optical system.

Ward, S.

2011-05-01T23:59:59.000Z

352

CONFIRMATORY SURVEY RESULTS FOR PORTIONS OF THE MATERIALS AND EQUIPMENT FROM UNITS 1 AND 2 AT THE HUMBOLDT BAY POWER PLANT, EUREKA, CALIFORNIA  

DOE Green Energy (OSTI)

The Pacific Gas & Electric Company (PG&E) operated the Humboldt Bay Power Plant (HBPP) Unit 3 nuclear reactor near Eureka, California under Atomic Energy Commission (AEC) provisional license number DPR-7. HBPP Unit 3 achieved initial criticality in February 1963 and began commercial operations in August 1963. Unit 3 was a natural circulation boiling water reactor with a direct-cycle design. This design eliminated the need for heat transfer loops and large containment structures. Also, the pressure suppression containment design permitted below-ground construction. Stainless steel fuel claddings were used from startup until cladding failures resulted in plant system contamination—zircaloy-clad fuel was used exclusively starting in 1965 eliminating cladding-related contamination. A number of spills and gaseous releases were reported during operations resulting in a range of mitigative activities (see ESI 2008 for details).

W.C. Adams

2011-04-01T23:59:59.000Z

353

Grantee Total Number of Homes  

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

Grantee Grantee Total Number of Homes Weatherized through November 2011 [Recovery Act] Total Number of Homes Weatherized through November 2011 (Calendar Year 2009 - November 2011) [Recovery Act + Annual Program Funding] Alabama 6,704 7,867 1 Alaska 443 2,363 American Samoa 304 410 Arizona 6,354 7,518 Arkansas 5,231 6,949 California 41,649 50,002 Colorado 12,782 19,210 Connecticut 8,940 10,009 2 Delaware** 54 54 District of Columbia 962 1,399 Florida 18,953 20,075 Georgia 13,449 14,739 Guam 574 589 Hawaii 604 1,083 Idaho** 4,470 6,614 Illinois 35,530 44,493 Indiana** 18,768 21,689 Iowa 8,794 10,202 Kansas 6,339 7,638 Kentucky 7,639 10,902 Louisiana 4,698 6,946 Maine 5,130 6,664 Maryland 8,108 9,015 Massachusetts 17,687 21,645 Michigan 29,293 37,137 Minnesota 18,224 22,711 Mississippi 5,937 6,888 Missouri 17,334 20,319 Montana 3,310 6,860 Navajo Nation

354

The Scalable Parallel Random Number Generators (SPRNG) ...  

Science Conference Proceedings (OSTI)

... Random Number Generators (SPRNG) Library is a widely used tool for random number generation on high-performance computing platforms. ...

2011-05-04T23:59:59.000Z

355

Total Number of Operable Refineries  

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

Data Series: Total Number of Operable Refineries Number of Operating Refineries Number of Idle Refineries Atmospheric Crude Oil Distillation Operable Capacity (B/CD) Atmospheric Crude Oil Distillation Operating Capacity (B/CD) Atmospheric Crude Oil Distillation Idle Capacity (B/CD) Atmospheric Crude Oil Distillation Operable Capacity (B/SD) Atmospheric Crude Oil Distillation Operating Capacity (B/SD) Atmospheric Crude Oil Distillation Idle Capacity (B/SD) Vacuum Distillation Downstream Charge Capacity (B/SD) Thermal Cracking Downstream Charge Capacity (B/SD) Thermal Cracking Total Coking Downstream Charge Capacity (B/SD) Thermal Cracking Delayed Coking Downstream Charge Capacity (B/SD Thermal Cracking Fluid Coking Downstream Charge Capacity (B/SD) Thermal Cracking Visbreaking Downstream Charge Capacity (B/SD) Thermal Cracking Other/Gas Oil Charge Capacity (B/SD) Catalytic Cracking Fresh Feed Charge Capacity (B/SD) Catalytic Cracking Recycle Charge Capacity (B/SD) Catalytic Hydro-Cracking Charge Capacity (B/SD) Catalytic Hydro-Cracking Distillate Charge Capacity (B/SD) Catalytic Hydro-Cracking Gas Oil Charge Capacity (B/SD) Catalytic Hydro-Cracking Residual Charge Capacity (B/SD) Catalytic Reforming Charge Capacity (B/SD) Catalytic Reforming Low Pressure Charge Capacity (B/SD) Catalytic Reforming High Pressure Charge Capacity (B/SD) Catalytic Hydrotreating/Desulfurization Charge Capacity (B/SD) Catalytic Hydrotreating Naphtha/Reformer Feed Charge Cap (B/SD) Catalytic Hydrotreating Gasoline Charge Capacity (B/SD) Catalytic Hydrotreating Heavy Gas Oil Charge Capacity (B/SD) Catalytic Hydrotreating Distillate Charge Capacity (B/SD) Catalytic Hydrotreating Kerosene/Jet Fuel Charge Capacity (B/SD) Catalytic Hydrotreating Diesel Fuel Charge Capacity (B/SD) Catalytic Hydrotreating Other Distillate Charge Capacity (B/SD) Catalytic Hydrotreating Residual/Other Charge Capacity (B/SD) Catalytic Hydrotreating Residual Charge Capacity (B/SD) Catalytic Hydrotreating Other Oils Charge Capacity (B/SD) Fuels Solvent Deasphalting Charge Capacity (B/SD) Catalytic Reforming Downstream Charge Capacity (B/CD) Total Coking Downstream Charge Capacity (B/CD) Catalytic Cracking Fresh Feed Downstream Charge Capacity (B/CD) Catalytic Hydro-Cracking Downstream Charge Capacity (B/CD) Period:

356

Bay Controls & Ford Teaming Profile | ENERGY STAR Buildings & Plants  

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

Bay Controls & Ford Teaming Profile Bay Controls & Ford Teaming Profile Secondary menu About us Press room Contact Us Portfolio Manager Login Facility owners and managers Existing buildings Commercial new construction Industrial energy management Small business Service providers Service and product providers Verify applications for ENERGY STAR certification Design commercial buildings Energy efficiency program administrators Commercial and industrial program sponsors Associations State and local governments Federal agencies Tools and resources Training In This Section Campaigns Commercial building design Communications resources Energy management guidance Financial resources Portfolio Manager Products and purchasing Recognition Research and reports Service and product provider (SPP) resources Success stories

357

Targeting Net Zero Energy at Marine Corps Base Kaneohe Bay, Hawaii: Assessment and Recommendations  

DOE Green Energy (OSTI)

DOD's U.S. Pacific Command has partnered with the U.S. Department of Energy's (DOE) National Renewable Energy Laboratory (NREL) to assess opportunities for increasing energy security through renewable energy and energy efficiency in Hawaii installations. NREL selected Marine Corps Base Hawaii (MCBH), Kaneohe Bay to receive technical support for net zero energy assessment and planning funded through the Hawaii Clean Energy Initiative (HCEI). NREL performed a comprehensive assessment to appraise the potential of MCBH Kaneohe Bay to achieve net zero energy status through energy efficiency, renewable energy, and electric vehicle integration. This report summarizes the results of the assessment and provides energy recommendations.

Burman, K.; Kandt, A.; Lisell, L.; Booth, S.; Walker, A.; Roberts, J.; Falcey, J.

2011-11-01T23:59:59.000Z

358

Control Measure Title Reference Number *  

E-Print Network (OSTI)

exhaustive search for emissions reductions to use in meeting federal Clean Air Act requirements for this 2008 PM2.5 Plan. Chapter 6 details the District’s process for developing control measures for reducing emissions of primary PM2.5 and PM2.5 precursors. This Appendix presents the product of this process: a master list of all candidate control measure ideas identified and evaluated for this plan. After assembling Appendix I, the District then screened the candidate measures into several categories: high priority measures to be implemented in the years immediately following plan adoption; measures that might be implemented in future years to allow for expected technology development; and those measures that require further study to identify when they could be implemented and what reductions they could achieve. Candidate control measure descriptions in Appendix I have the following major components:! Title and Number

unknown authors

2008-01-01T23:59:59.000Z

359

The All-Electric Commute: An Assessment of the Market Potential for Station Cars in the San Francisco Bay Area  

E-Print Network (OSTI)

financially support station-car usage by their employeesinfor home- end station-car usage. Designing a Questionnaire Awell suited to station-car usage multiplied by the percent

Cervero, Robert; Round, Alfred; Reed, Carma; Clark, Brian

1994-01-01T23:59:59.000Z

360

Putting Schools on the Map: Linking Transit-Oriented Development, Families, and Schools in the San Francisco Bay Area  

E-Print Network (OSTI)

leadership/trends/transit/ Putting Schools on the MapDC: APA/AICP. Putting Schools on the Map transit. Access toconsistent arrival at school, reducing problems of truancy

Bierbaum, Ariel H; Vincent, Jeffrey M; McKoy, Deborah L

2010-01-01T23:59:59.000Z

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


361

Engaging Regions in Globalization: The Rise of the Economic Relationship between the San Francisco Bay Area and China  

E-Print Network (OSTI)

Solar Firm, Yingli Green Energy Americas to San Francisco. ”and Cleantech. US-China Green Energy Council Seminar. Palo85 In July 2009, Yingli Green Energy Americas announced its

Volberding, Peter

2011-01-01T23:59:59.000Z

362

The All-Electric Commute: An Assessment of the Market Potential for Station Cars in the San Francisco Bay Area  

E-Print Network (OSTI)

Sperling, D. 1994. "Electric Cars and the Future." ITSReviewUP HERE TO TEST DRIVE AN ELECTRIC CAR Availability for testtest drives of an electric car. Non-polluting commuting."

Cervero, Robert; Round, Alfred; Reed, Carma; Clark, Brian

1994-01-01T23:59:59.000Z

363

Bay Area Transportation Decision Making in the Wake of ISTEA: Planning Styles in Conflict at the Metropolitan Transportation Commission  

E-Print Network (OSTI)

1998 STIP . . . . . . . . . . . . . . . . . . . . . . . .Improvement Program (STIP) by passing a package of billsImprovement Program (STIP), and what technical studies of

Innes, Judith E.; Gruber, Judith

2001-01-01T23:59:59.000Z

364

The All-Electric Commute: An Assessment of the Market Potential for Station Cars in the San Francisco Bay Area  

E-Print Network (OSTI)

electric vehicles will be freeway-certified, meeting all applicable crashworthiness standards of the Federal MotorVehicle Safety

Cervero, Robert; Round, Alfred; Reed, Carma; Clark, Brian

1994-01-01T23:59:59.000Z

365

Numerical Model Simulation of Human Biometeorological Heat Load Conditions—Summer Day Case Study for the Chesapeake Bay Area  

Science Conference Proceedings (OSTI)

During the warm season the spatial and temporal behavior of the biometeorological heat load in coastal regions is highly complex. Observational studies attempting to describe it usually are incomplete due to the scarcity of available ...

Mordecay Segal; Roger A. Pielke

1981-07-01T23:59:59.000Z

366

Placing Refuge: Shell Mounds and the Archaeology of Colonial Encounters in the San Francisco Bay Area, California  

E-Print Network (OSTI)

mounds by hunter-gatherers and ensuing currency as foundations for cultural continuity following the closure

Schneider, Tsim Duncan

2010-01-01T23:59:59.000Z

367

The All-Electric Commute: An Assessment of the Market Potential for Station Cars in the San Francisco Bay Area  

E-Print Network (OSTI)

li l ,o,~! oI~ o oJo olo! ~:~,o ! t ol o o I o oio~o! olo~o I~,i II, i ooioio Iil oo o oio;oo,oio,o o i l~oo i i °i°l°l°°, °i°i°l ,i II, i ° i o ! t I !

Cervero, Robert; Round, Alfred; Reed, Carma; Clark, Brian

1994-01-01T23:59:59.000Z

368

Analysis of the Pass Cavallo shipwreck assemblage, Matagorda Bay, Texas  

E-Print Network (OSTI)

A survey conducted in February of 1998 located an anomaly originally believed to be the remains of L'Aimable. L'Aimable was one of four ships utilized by Rene-Robert Cavelier, Sieur de La Salle, for his voyage to colonize the Gulf Coast in 1684. The anomaly, a wrecked vessel with a heavy iron signature, was located outside the entrance to the historic pass into Matagorda Bay, Texas. Artifacts were extracted from the wreck site to aid in the identification of the vessel, which was subsequently determined to be more recent in origin. A preliminary examination of the artifacts indicates that the shipwreck dates to the first half of the 19th century. The survey recovered over two hundred artifacts. The assemblage of artifacts includes over 80 lead shot, over 40 examples of brass firearm furniture, over 15 firearm fragments, several pieces of copper sheathing, and iron bar stock. Almost two-thirds of the material is associated with small arms. The majority of the identifiable firearms are military arms of three patterns: the British Short Land Pattern, the British India Pattern, and the 1757 Spanish musket. Historical research has determined that these arms were circulating in Texas, New Orleans, and Mexico, as early as 1815. The British Pattern arms were both purchased for the Mexican army in the 1820s, and used by the British Infantry in the Battle of New Orleans in 1815. The 1757 Spanish musket was used chiefly by Spanish expeditionary forces in North America in the late 18th century. Evidence garnered from the artifacts suggest that the firearms were shipboard cargo onboard a small, wood-hulled sailing vessel that wrecked between the years 1815 and 1845. Archival and historical research isolated nine wreck candidates for this period. Historical research and artifact analysis suggest the Hannah Elizabeth as the primary candidate for this wreck site. The Hannah Elizabeth was a small merchant schooner from New Orleans laden with a munitions cargo for Texas troops stationed at Goliad. The vessel wrecked at the entrance of the historic Pass Cavallo while evading capture from a Mexican brig-of-war in November of 1835.

Borgens, Amy Anne

2005-05-01T23:59:59.000Z

369

Constraints on Area Variables in Regge Calculus  

E-Print Network (OSTI)

We describe a general method of obtaining the constraints between area variables in one approach to area Regge calculus, and illustrate it with a simple example. The simplicial complex is the simplest tessellation of the 4-sphere. The number of independent constraints on the variations of the triangle areas is shown to equal the difference between the numbers of triangles and edges, and a general method of choosing independent constraints is described. The constraints chosen by using our method are shown to imply the Regge equations of motion in our example.

Jarmo Makela; Ruth M. Williams

2000-11-02T23:59:59.000Z

370

Constraints on Area Variables in Regge Calculus  

E-Print Network (OSTI)

We describe a general method of obtaining the constraints between area variables in one approach to area Regge calculus, and illustrate it with a simple example. The simplicial complex is the simplest tessellation of the 4-sphere. The number of independent constraints on the variations of the triangle areas is shown to equal the difference between the numbers of triangles and edges, and a general method of choosing independent constraints is described. The constraints chosen by using our method are shown to imply the Regge equations of motion in our example.

Mäkelä, J M; Makela, Jarmo; Williams, Ruth M.

2001-01-01T23:59:59.000Z

371

Oceanographic Data at the Monterey Bay Aquarium Research Institute (MBARI)  

DOE Data Explorer (OSTI)

Areas of research at MBARI include marine biology, geology, and chemistry; physical oceanography, and marine technology. Numeric data, images and video, GIS maps, and sensor data are all available from various projects.

372

Number of Producing Gas Wells  

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

Producing Gas Wells Producing Gas Wells Period: Annual Download Series History Download Series History Definitions, Sources & Notes Definitions, Sources & Notes Area 2007 2008 2009 2010 2011 2012 View History U.S. 452,945 476,652 493,100 487,627 514,637 482,822 1989-2012 Alabama 6,591 6,860 6,913 7,026 7,063 6,327 1989-2012 Alaska 239 261 261 269 277 185 1989-2012 Arizona 7 6 6 5 5 5 1989-2012 Arkansas 4,773 5,592 6,314 7,397 8,388 8,538 1989-2012 California 1,540 1,645 1,643 1,580 1,308 1,423 1989-2012 Colorado 22,949 25,716 27,021 28,813 30,101 32,000 1989-2012 Gulf of Mexico 2,552 1,527 1,984 1,852 1,559 1,474 1998-2012 Illinois 43 45 51 50 40 40 1989-2012 Indiana 2,350 525 563 620 914 819 1989-2012 Kansas

373

Bimodal Character of Cyclone Climatology in the Bay of Bengal Modulated by Monsoon Seasonal Cycle  

Science Conference Proceedings (OSTI)

The annual cycle of tropical cyclone (TC) frequency over the Bay of Bengal (BoB) exhibits a notable bimodal character, different from a single peak in other basins. The causes of this peculiar feature were investigated through the diagnosis of a ...

Zhi Li; Weidong Yu; Tim Li; V. S. N. Murty; Fredolin Tangang

2013-02-01T23:59:59.000Z

374

Storm-Induced Circulation in Lunenburg Bay of Nova Scotia: Observations and Numerical Simulations  

Science Conference Proceedings (OSTI)

An extreme weather event (Hurricane Juan) made landfall in Nova Scotia, Canada, in September 2003. The storm produced an 70-cm storm surge and 40 cm s?1 coastal currents in Lunenburg Bay, registered by a coastal observing system. A fine-...

Liang Wang; Jinyu Sheng; Alex E. Hay; Douglas J. Schillinger

2007-04-01T23:59:59.000Z

375

Marsh Island (PortersvIlle Bay) restoratIon Project General Project DescriPtion  

E-Print Network (OSTI)

spill. Total estimated Offsets for the Marsh Island Project are 540 DSAYs. estiMated cost: Construction of the Marsh Island Project would cost approximately $11,280,000. (Estimated costs for some of the projectsMarsh Island (PortersvIlle Bay) restoratIon Project General Project DescriPtion The Marsh Island

376

Intro Pb Model Gibbs Simus Multi Bayes Gibbs Simus Change-point Detection in Astronomical Data  

E-Print Network (OSTI)

. The Poisson rate parameter varies as determined by the actual changes in brightness of the Gamma Ray Burst, Bordeaux, '05 #12;Intro Pb Model Gibbs Simus Multi Bayes Gibbs Simus Introduction BATSE module Burst And Transient Source Experiment The Compton -Ray Observatory N. Dobigeon, J.-Y. Tourneret, J.D. Scargle IEEE

Tourneret, Jean-Yves

377

Systems Performance Analyses of Alaska Wind-Diesel Projects; Toksook Bay, Alaska (Fact Sheet)  

DOE Green Energy (OSTI)

This fact sheet summarizes a systems performance analysis of the wind-diesel project in Toksook Bay, Alaska. Data provided for this project include community load data, average wind turbine output, average diesel plant output, thermal load data, average net capacity factor, optimal net capacity factor based on Alaska Energy Authority wind data, average net wind penetration, estimated fuel savings, and wind system availability.

Baring-Gould, I.

2009-04-01T23:59:59.000Z

378

Barotropic and Baroclinic M2 Tides in the Monterey Bay Region  

Science Conference Proceedings (OSTI)

A high-resolution (250 m) primitive equation model is used to simulate the depth-averaged and baroclinic M2 tides in the Monterey Bay region. The model shows a high level of skill in comparisons with sea level observations. ADCP current ...

G. S. Carter

2010-08-01T23:59:59.000Z

379

MAPPING OUR UNDERWATER MARINE RESOURCES The MapCoast and BayMap Partnerships  

E-Print Network (OSTI)

MAPPING OUR UNDERWATER MARINE RESOURCES The MapCoast and BayMap Partnerships BAYMAP: CHARTING communities and underwater archaeological sites in a readily accessible GIS format. An interdisciplinary team underwater resources, including bathymetry, habitat, geology, soils/ sediment, and archeological resources

Wang, Y.Q. "Yeqiao"

380

Remote monitoring of hypersaline environments in San Francisco Bay, CA, USA  

Science Conference Proceedings (OSTI)

As part of a historic remediation project, approximately 61 km2 of salt evaporation ponds in the southern portion of San Francisco Bay, CA (USA) are scheduled for restoration to natural tidal marsh habitat over the next several decades. We have ...

J. B. Dalton; L. J. Palmer-Moloney; D. Rogoff; C. Hlavka; C. Duncan

2009-01-01T23:59:59.000Z

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


381

Evolution of the Monterey Bay Sea-Breeze Layer As Observed by Pulsed Doppler Lidar  

Science Conference Proceedings (OSTI)

As part of the Land/Sea Breeze Experiment (LASBEX) to study the sea breeze at Monterey Bay, the pulsed Doppler lidar of the NOAA/ERL Wave Propagation Laboratory performed vertical and nearly horizontal scans of the developing sea breeze on 12 ...

Robert M. Banta; Lisa D. Olivier; David H. Levinson

1993-12-01T23:59:59.000Z

382

Recent ice loss from the Fleming and other glaciers, Wordie Bay, West Antarctic Peninsula  

E-Print Network (OSTI)

of phase aliasing caused by high rates of ice deformation. [6] Glacier grounding lines were derived fromRecent ice loss from the Fleming and other glaciers, Wordie Bay, West Antarctic Peninsula E. Rignot ice thickness data from 2002, reveal that the glaciers flowing into former Wordie Ice Shelf, West

Kansas, University of

383

Measuring Sin^22?_13 with the Daya Bay Nuclear Reactors  

E-Print Network (OSTI)

Angle \\theta_13 is one of the two unknown neutrino mixing parameters to be determined. Its value may determine the future trend of the neutrino physics. We propose to measure sin^22\\theta_13 with a sensitivity better than 0.01 (90% C.L) at the Daya Bay reactor power plant.

Yifang Wang

2006-10-09T23:59:59.000Z

384

Instrumented Aircraft Observations of the Katabatic Wind Regime Near Terra Nova Bay  

Science Conference Proceedings (OSTI)

Two aircraft missions to sample the boundary layer dynamics associated with the intense katabatic wind regime at Terra Nova Bay, Antarctica were flown on successive days in early November 1987. Light winds averaging 5 m s?1 were monitored at the ...

Thomas R. Parish; David H. Bromwich

1989-07-01T23:59:59.000Z

385

A Latent-and Sensible-Heat Polynya Model for the North Water, Northern Baffin Bay  

Science Conference Proceedings (OSTI)

The Pease latent-heat polynya model is coupled to a reduced-gravity, coastal upwelling model in order to simulate the formation and maintenance of the North Water (NOW), the Arctic's largest polynya, located in northern Beffin Bay. In this region,...

Lawrence A. Mysak; Fengting Huang

1992-06-01T23:59:59.000Z

386

Climate Zone Number 2 | Open Energy Information  

Open Energy Info (EERE)

2 is defined as 2 is defined as Hot - Humid(2A) with IP Units 6300 < CDD50ºF ≤ 9000 and SI Units 3500 < CDD10ºC ≤ 5000 Dry(2B) with IP Units 6300 < CDD50ºF ≤ 9000 and SI Units 3500 < CDD10ºC ≤ 5000 . The following places are categorized as class 2 climate zones: Acadia Parish, Louisiana Alachua County, Florida Allen Parish, Louisiana Anderson County, Texas Angelina County, Texas Appling County, Georgia Aransas County, Texas Ascension Parish, Louisiana Assumption Parish, Louisiana Atascosa County, Texas Atkinson County, Georgia Austin County, Texas Avoyelles Parish, Louisiana Bacon County, Georgia Baker County, Florida Baker County, Georgia Baldwin County, Alabama Bandera County, Texas Bastrop County, Texas Bay County, Florida Beauregard Parish, Louisiana Bee County, Texas

387

Division/ Interest Area Information  

Science Conference Proceedings (OSTI)

Learn more about Divisions and Interest areas. Division/ Interest Area Information Membership Information achievement application award Awards distinguished division Divisions fats job Join lipid lipids Member member get a member Membership memori

388

Targeting Net Zero Energy at Marine Corps Base Hawaii, Kaneohe Bay: Preprint  

DOE Green Energy (OSTI)

This paper summarizes the results of an NREL assessment of Marine Corps Base Hawaii (MCBH), Kaneohe Bay to appraise the potential of achieving net zero energy status through energy efficiency, renewable energy, and hydrogen vehicle integration. In 2008, the U.S. Department of Defense's U.S. Pacific Command partnered with the U.S. Department of Energy's (DOE's) National Renewable Energy Laboratory (NREL) to assess opportunities for increasing energy security through renewable energy and energy efficiency at Hawaii military installations. DOE selected Marine Corps Base Hawaii (MCBH), Kaneohe Bay, to receive technical support for net zero energy assessment and planning funded through the Hawaii Clean Energy Initiative (HCEI). NREL performed a comprehensive assessment to appraise the potential of MCBH Kaneohe Bay to achieve net zero energy status through energy efficiency, renewable energy, and hydrogen vehicle integration. This paper summarizes the results of the assessment and provides energy recommendations. The analysis shows that MCBH Kaneohe Bay has the potential to make significant progress toward becoming a net zero installation. Wind, solar photovoltaics, solar hot water, and hydrogen production were assessed, as well as energy efficiency technologies. Deploying wind turbines is the most cost-effective energy production measure. If the identified energy projects and savings measures are implemented, the base will achieve a 96% site Btu reduction and a 99% source Btu reduction. Using excess wind and solar energy to produce hydrogen for a fleet and fuel cells could significantly reduce energy use and potentially bring MCBH Kaneohe Bay to net zero. Further analysis with an environmental impact and interconnection study will need to be completed. By achieving net zero status, the base will set an example for other military installations, provide environmental benefits, reduce costs, increase energy security, and exceed its energy goals and mandates.

Burman, K.; Kandt, A.; Lisell, L.; Booth, S.

2012-05-01T23:59:59.000Z

389

DOE Designates Southwest Area and Mid-Atlantic Area National...  

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

Designates Southwest Area and Mid-Atlantic Area National Interest Electric Transmission Corridors October 2, 2007 DOE Designates Southwest Area and Mid-Atlantic Area National...

390

DOE Designates Southwest Area and Mid-Atlantic Area National...  

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

Designates Southwest Area and Mid-Atlantic Area National Interest Electric Transmission Corridors DOE Designates Southwest Area and Mid-Atlantic Area National Interest Electric...

391

Geothermal br Resource br Area Geothermal br Resource br Area...  

Open Energy Info (EERE)

Brady Hot Springs Geothermal Area Brady Hot Springs Geothermal Area Northwest Basin and Range Geothermal Region MW K Coso Geothermal Area Coso Geothermal Area Walker Lane...

392

Why is hydrogen's atomic number 1?  

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

the number of protons in an atom's nucleus. Hydrogen's atomic number is 1 because all hydrogen atoms contain exactly one proton. Author: Steve Gagnon, Science Education Specialist...

393

Reference Number PCR Kit Name Manufacturer Kit ...  

Science Conference Proceedings (OSTI)

Page 1. Reference Number PCR Kit Name Manufacturer Kit Description 1 Profiler Life Technologies AmpFlSTR® Profiler® (Part number 403038) ...

2013-11-20T23:59:59.000Z

394

Alternative Fuels Data Center: Renewable Identification Numbers  

Alternative Fuels and Advanced Vehicles Data Center (EERE)

Renewable Renewable Identification Numbers to someone by E-mail Share Alternative Fuels Data Center: Renewable Identification Numbers on Facebook Tweet about Alternative Fuels Data Center: Renewable Identification Numbers on Twitter Bookmark Alternative Fuels Data Center: Renewable Identification Numbers on Google Bookmark Alternative Fuels Data Center: Renewable Identification Numbers on Delicious Rank Alternative Fuels Data Center: Renewable Identification Numbers on Digg Find More places to share Alternative Fuels Data Center: Renewable Identification Numbers on AddThis.com... More in this section... Federal State Advanced Search All Laws & Incentives Sorted by Type Renewable Identification Numbers RIN Format EPA uses the following format to determine RINs for each physical gallon of

395

The distribution of prime numbers on the square root spiral  

E-Print Network (OSTI)

Prime Numbers clearly accumulate on defined spiral graphs,which run through the Square Root Spiral. These spiral graphs can be assigned to different spiral-systems, in which all spiral-graphs have the same direction of rotation and the same -second difference- between the numbers, which lie on these spiral-graphs. A mathematical analysis shows, that these spiral graphs are caused exclusively by quadratic polynomials. For example the well known Euler Polynomial x2+x+41 appears on the Square Root Spiral in the form of three spiral-graphs, which are defined by three different quadratic polynomials. All natural numbers,divisible by a certain prime factor, also lie on defined spiral graphs on the Square Root Spiral (or Spiral of Theodorus, or Wurzelspirale). And the Square Numbers 4, 9, 16, 25, 36 even form a highly three-symmetrical system of three spiral graphs, which divides the square root spiral into three equal areas. Fibonacci number sequences also play a part in the structure of the Square Root Spiral. With the help of the Number-Spiral, described by Mr. Robert Sachs, a comparison can be drawn between the Square Root Spiral and the Ulam Spiral. The shown sections of his study of the number spiral contain diagrams, which are related to my analysis results, especially in regards to the distribution of prime numbers.

Harry K. Hahn; Robert Sachs

2008-01-09T23:59:59.000Z

396

Design and evaluation of a gravity-stable, miscible CO/sub 2/-solvent flood, Bay St. Elaine Field  

SciTech Connect

A gravity-stable miscible CO/sub 2/-solvent flood is underway in the Bay St. Elaine Field, South Louisiana. A 33% pore volume CO/sub 2/-solvent slug was injected into a dipping water drive reservoir and is being pushed downdip by the injection of nitrogen gas. The CO/sub 2/ solvent selected for this tertiary flood was tailored by the addition of methane and n-butane to the carbon dioxide. This CO/sub 2/-solvent provides the density difference required to complete a gravity-stable flood within the desired time period and also satisfies the minimum miscibility pressure requirements at reservoir conditions. The paper presents laboratory experimental work performed and process design work required to undertake this type of enhanced recovery project. The results obtained from slim tube tests to determine the CO/sub 2/-solvent composition are presented as well as results of 12-foot sand pack displacement tests to evaluate the recovery efficiency of the selected CO/sub 2/-solvent. Procedures used to determine the mixing zone lengths needed for CO/sub 2/-solvent slug design are discussed along with the method of calculating critical velocity. Pressure pulse tests conducted to improve reservoir definition within the project area are reviewed. In situ residual oil saturations for the unconsolidated sand determined from pressure cores, log-injectlog water flood tests, single well partitioning tracer tests, and open hole well logs are presented. Field injection and current production data are also analyzed.

Nute, A.J.

1983-03-01T23:59:59.000Z

397

Number: 894 Description: How far is it ...  

Science Conference Proceedings (OSTI)

... Number: 1198 Description: When was Hiroshima bombed? ... 1264 Description: What is the atomic weight of ...

2002-04-29T23:59:59.000Z

398

Material Disposal Areas  

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

Material Disposal Areas Material Disposal Areas Material Disposal Areas Material Disposal Areas, also known as MDAs, are sites where material was disposed of below the ground surface in excavated pits, trenches, or shafts. Contact Environmental Communication & Public Involvement P.O. Box 1663 MS M996 Los Alamos, NM 87545 (505) 667-0216 Email Material Disposal Areas at LANL The following are descriptions and status updates of each MDA at LANL. To view a current fact sheet on the MDAs, click on LA-UR-13-25837 (pdf). MDA A MDA A is a Hazard Category 2 nuclear facility comprised of a 1.25-acre, fenced, and radiologically controlled area situated on the eastern end of Delta Prime Mesa. Delta Prime Mesa is bounded by Delta Prime Canyon to the north and Los Alamos Canyon to the south.

399

Air Pollution Impacts of Shifting San Pedro Bay Ports Freight from Truck to Rail in Southern California  

E-Print Network (OSTI)

Angeles. San Pedro Bay Ports Rail study update. 7. The Portnear-dock and off-dock rail yard locations. ACKNOWLEDGEMENTSThe Port of Long Beach. Rail Master Planning study. 2002.

You, Soyoung Iris; Lee, Gunwoo; Ritchie, Stephen G.; Saphores, Jean-Daniel; Sangkapichai, Mana; Ayala, Roberto

2010-01-01T23:59:59.000Z

400

The effect of anthropogenic development on sediment loading to bays on St. John, U.S. Virgin Islands  

E-Print Network (OSTI)

In order to assess the impact of anthropogenic development on sediment delivery rates to bays on St. John, U.S.V.I., I developed a sediment loading prediction model. Based on the modified universal soil loss equation, this ...

McCreery, Helen F

2007-01-01T23:59:59.000Z

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


401

Wind, sea ice, inertial oscillations and upper ocean mixing in Marguerite Bay, Western Antarctic Peninsula : observations and modeling  

E-Print Network (OSTI)

Two years of moored oceanographic and automatic weather station data which span the winter ice seasons of 2001-2003 within Marguerite Bay on the western Antarctic Peninsula (wAP) shelf were collected as part of the Southern ...

Hyatt, Jason

2006-01-01T23:59:59.000Z

402

Aircraft Regional-Scale Flux Measurements over Complex Landscapes of Mangroves, Desert, and Marine Ecosystems of Magdalena Bay, Mexico  

Science Conference Proceedings (OSTI)

Natural ecosystems are rarely structurally simple or functionally homogeneous. This is true for the complex coastal region of Magdalena Bay, Baja California Sur, Mexico, where the spatial variability in ecosystem fluxes from the Pacific coastal ...

Rommel C. Zulueta; Walter C. Oechel; Joseph G. Verfaillie; Steven J. Hastings; Beniamino Gioli; William T. Lawrence; Kyaw Tha Paw U

2013-07-01T23:59:59.000Z

403

Naval applications study areas  

SciTech Connect

This memorandum discusses study areas and items that will require attention for the naval studies of the utilization of nuclear propulsion in a submarine-based missile system.

Hadley, J. W.

1962-06-20T23:59:59.000Z

404

Boulder Area Transportation  

Science Conference Proceedings (OSTI)

... NIST does not endorse or guarantee the quality or services provided by these businesses. All Denver/Boulder area transportation companies. ...

2011-11-16T23:59:59.000Z

405

NIST Aperture area measurements  

Science Conference Proceedings (OSTI)

... particularly critical, for example, in climate and weather applications on ... of aperture areas used in exo-atmospheric solar irradiance measurements; ...

2011-11-03T23:59:59.000Z

406

The boxer, the wrestler, and the coin flip: A paradox of Bayesian inference, robust Bayes, and belief functions  

E-Print Network (OSTI)

Bayesian inference requires all unknowns to be represented by probability distributions, which awkwardly implies that the probability of an event for which we are completely ignorant (e.g., that the world’s greatest boxer would defeat the world’s greatest wrestler) must be assigned a particular numerical value such as 1/2, as if it were known as precisely as the probability of a truly random event (e.g., a coin flip). Robust Bayes and belief functions are two methods that have been proposed to distinguish ignorance and randomness. In robust Bayes, a parameter can be restricted to a range, but without a prior distribution, yielding a range of potential posterior inferences. In belief functions (also known as the Dempster-Shafer theory), probability mass can be assigned to subsets of parameter space, so that randomness is represented by the probability distribution and uncertainty is represented by large subsets, within which the model does not attempt to assign probabilities. Through a simple example involving a coin flip and a boxing/wrestling match, we illustrate difficulties with pure Bayes, robust Bayes, and belief functions. In short: pure Bayes does not distinguish ignorance and randomness; robust Bayes allows ignorance to spread too broadly, and belief functions inappropriately collapse to simple Bayesian models.

Andrew Gelman

2005-01-01T23:59:59.000Z

407

Selby-on-the-Bay, Maryland: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

Selby-on-the-Bay, Maryland: Energy Resources Selby-on-the-Bay, Maryland: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 38.9162245°, -76.52246° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":38.9162245,"lon":-76.52246,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

408

Green Bay TEC Meeting -- Tribal Group Summary 10-26-06  

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

Green Bay, Wisconsin - September 14, 2006 Green Bay, Wisconsin - September 14, 2006 Session Chaired by: Jay Jones, DOE, Office of Civilian Radioactive Waste Management, OCRWM Regular Members in Attendance: Sandra Alexander (Confederated Tribes of the Umatilla Indian Reservation, CTUIR); Kenny Anderson, Las Vegas Paiute Tribe; Richard Arnold, Las Vegas Indian Center/Pahrump Paiute Tribe); Kevin Tafoya, Santa Clara Pueblo; Christina Nelson, National Conference of State Legislatures; Ed Gonzales, ELG Engineering/Pueblo de San Ildefonso; Judith Holm, OCRWM; Marsha Keister, Idaho National Laboratory; Joe Kennedy, Timbisha Shoshone Tribe; Daniel King, Oneida Nation of Wisconsin; Sue Loudner, Pueblo of Acoma; Bob Lupton, DOE Yucca Mountain Project; Corinne Macaluso, OCRWM; Kevin Mariano, Pueblo of Acoma; Calvin Meyers, Moapa

409

Fishery Resources Theodore R. Merrell, Jr. Northwest Fisheries Center, Auke Bay Fisheries  

Office of Legacy Management (LM)

Fishery Resources Theodore R. Merrell, Jr. Fishery Resources Theodore R. Merrell, Jr. Northwest Fisheries Center, Auke Bay Fisheries of the ~ a b o r a t o r y , National ~ a r i n e Fisheries Sewice, National Ocear~ic and Atmospl~eric Administration, Vestern Aleutians Auke Bay, Alaska Tlte fishery resources in the zuestent Aleutian Islnnds are diverse, nbtrnrlant, nrid heavily exploited, primarily by Japanese nnd Soviet fishermen. Seven groups make u p the bulk of the crcrrent catch: snlmo~t (sockeye, chum, and pink), king crabs, Pacific hnlibut, Pncific ocean perch, sablefish, wnlleye pollock, mid Pacific cod. Three species of whales (syenn, fin, and sei) are also caplared. Tlre marine enuironmerrt is highly prodirctiue and is relaliuely trn- nffecterl by ,,ton's activities otlter f h a i ~ fishing. Prospects for co,ttinaed or espanded fishery ltnruesls

410

MHK Projects/Ocean Energy Galway Bay IE | Open Energy Information  

Open Energy Info (EERE)

Galway Bay IE Galway Bay IE < MHK Projects Jump to: navigation, search << Return to the MHK database homepage Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":5,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"500px","height":"350px","centre":false,"title":"","label":"","icon":"File:Aquamarine-marker.png","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":53.1879,"lon":-9.18125,"alt":0,"address":"","icon":"http:\/\/prod-http-80-800498448.us-east-1.elb.amazonaws.com\/w\/images\/7\/74\/Aquamarine-marker.png","group":"","inlineLabel":"","visitedicon":""}]}

411

FEMP ESPC Success Story - U.S. Naval Station, Guantanamo Bay, Cuba  

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

a m a m ESPC Success Stories Environmental Stewardship and Cost Savings These photographs chronicle the installation of the wind turbines at John Paul Jones Hill, Guantanamo Bay. The four wind turbine towers are about 185 feet high. The blade lengths are 90 feet. The top of the blades are about 275 feet off the g round. The blades rotate at a maximum of 22 RPM, or a rotation every three seconds. This translates to a blade tip speed of 140 mph. During construction there were as many as 20 workers on the project. However, operating the wind turbines will only take one part-time staff-person who will check on them daily. Photos courtesy of: Jeffrey M. Johnston, Public Works Officer, Guantanamo Bay; Paul DelSignore, NFESC; Daniel Ingold, NORESCO. U.S. NAVAL STATION

412

MHK Projects/OpenHydro Bay of Fundy Nova Scotia CA | Open Energy  

Open Energy Info (EERE)

Bay of Fundy Nova Scotia CA Bay of Fundy Nova Scotia CA < MHK Projects Jump to: navigation, search << Return to the MHK database homepage Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":5,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"500px","height":"350px","centre":false,"title":"","label":"","icon":"File:Aquamarine-marker.png","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":44.7728,"lon":-66.3096,"alt":0,"address":"","icon":"http:\/\/prod-http-80-800498448.us-east-1.elb.amazonaws.com\/w\/images\/7\/74\/Aquamarine-marker.png","group":"","inlineLabel":"","visitedicon":""}]}

413

MHK Projects/Coos Bay OPT Wave Park | Open Energy Information  

Open Energy Info (EERE)

Coos Bay OPT Wave Park Coos Bay OPT Wave Park < MHK Projects Jump to: navigation, search << Return to the MHK database homepage Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":5,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"500px","height":"350px","centre":false,"title":"","label":"","icon":"File:Aquamarine-marker.png","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":43.3664,"lon":-124.218,"alt":0,"address":"","icon":"http:\/\/prod-http-80-800498448.us-east-1.elb.amazonaws.com\/w\/images\/7\/74\/Aquamarine-marker.png","group":"","inlineLabel":"","visitedicon":""}]}

414

Targeting Net Zero Energy at Marine Corps Base Kaneohe Bay, Hawaii: Assessment and Recommendations  

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

Targeting Net Zero Energy at Targeting Net Zero Energy at Marine Corps Base Kaneohe Bay, Hawaii: Assessment and Recommendations K. Burman, A. Kandt, L. Lisell, S. Booth, A. Walker, J. Roberts and J. Falcey Technical Report NREL/ TP-7A40-52897 November 2011 NREL is a national laboratory of the U.S. Department of Energy, Office of Energy Efficiency & Renewable Energy, operated by the Alliance for Sustainable Energy, LLC. National Renewable Energy Laboratory 1617 Cole Boulevard Golden, Colorado 80401 303-275-3000 * www.nrel.gov Contract No. DE-AC36-08GO28308 Targeting Net Zero Energy at Marine Corps Base Kaneohe Bay, Hawaii: Assessment and Recommendations K. Burman, A. Kandt, L. Lisell, S. Booth, A. Walker, J. Roberts and J. Falcey Prepared under Task No. IDHW.9180

415

MHK Projects/Kachemak Bay Tidal Energy Project | Open Energy Information  

Open Energy Info (EERE)

Kachemak Bay Tidal Energy Project Kachemak Bay Tidal Energy Project < MHK Projects Jump to: navigation, search << Return to the MHK database homepage Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":5,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"500px","height":"350px","centre":false,"title":"","label":"","icon":"File:Aquamarine-marker.png","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":60.3378,"lon":-151.875,"alt":0,"address":"","icon":"http:\/\/prod-http-80-800498448.us-east-1.elb.amazonaws.com\/w\/images\/7\/74\/Aquamarine-marker.png","group":"","inlineLabel":"","visitedicon":""}]}

416

MHK Projects/General Sullivan and Little Bay BRI | Open Energy Information  

Open Energy Info (EERE)

General Sullivan and Little Bay BRI General Sullivan and Little Bay BRI < MHK Projects Jump to: navigation, search << Return to the MHK database homepage Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":5,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"500px","height":"350px","centre":false,"title":"","label":"","icon":"File:Aquamarine-marker.png","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":43.1055,"lon":-70.7912,"alt":0,"address":"","icon":"http:\/\/prod-http-80-800498448.us-east-1.elb.amazonaws.com\/w\/images\/7\/74\/Aquamarine-marker.png","group":"","inlineLabel":"","visitedicon":""}]}

417

MHK Projects/San Francisco Bay Tidal Energy Project | Open Energy  

Open Energy Info (EERE)

Francisco Bay Tidal Energy Project Francisco Bay Tidal Energy Project < MHK Projects Jump to: navigation, search << Return to the MHK database homepage Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":5,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"500px","height":"350px","centre":false,"title":"","label":"","icon":"File:Aquamarine-marker.png","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":37.691,"lon":-122.311,"alt":0,"address":"","icon":"http:\/\/prod-http-80-800498448.us-east-1.elb.amazonaws.com\/w\/images\/7\/74\/Aquamarine-marker.png","group":"","inlineLabel":"","visitedicon":""}]}

418

MHK Projects/Willapa Bay Tidal Power Project | Open Energy Information  

Open Energy Info (EERE)

Willapa Bay Tidal Power Project Willapa Bay Tidal Power Project < MHK Projects Jump to: navigation, search << Return to the MHK database homepage Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":5,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"500px","height":"350px","centre":false,"title":"","label":"","icon":"File:Aquamarine-marker.png","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":46.7161,"lon":-124.038,"alt":0,"address":"","icon":"http:\/\/prod-http-80-800498448.us-east-1.elb.amazonaws.com\/w\/images\/7\/74\/Aquamarine-marker.png","group":"","inlineLabel":"","visitedicon":""}]}

419

EIA Report 8/10/06 - Alaska's Prudhoe Bay Crude Oil Pipeline Shutdown  

Gasoline and Diesel Fuel Update (EIA)

Alaska Prudhoe Bay Crude Oil Shut-in Alaska Prudhoe Bay Crude Oil Shut-in Facts and Impacts on the U.S. Oil Markets As of Thursday, August 10, 10:00 am Background on Alaska Crude Production and Transport Alaska ranks second, after Texas, among the States in crude oil reserves. On December 31, 2004, Alaska's proved reserves totaled 4,327 million barrels. Although Alaska's production declined from 2 million barrels per day (bbl/d) in 1988 to 864,000 bbl/d in 2005, it is still the second largest oil producing State when Federal offshore production is excluded. Alaskan Production Graph of US Crude Oil Production figure data The Trans-Alaska Pipeline Systems (TAPS) connects the North Slope oil fields with the Port of Valdez in southern Alaska. From Valdez, crude oil is shipped primarily to refineries located on the U.S. West Coast.

420

MHK Projects/Makah Bay Offshore Wave Pilot Project | Open Energy  

Open Energy Info (EERE)

Makah Bay Offshore Wave Pilot Project Makah Bay Offshore Wave Pilot Project < MHK Projects Jump to: navigation, search << Return to the MHK database homepage Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":5,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"500px","height":"350px","centre":false,"title":"","label":"","icon":"File:Aquamarine-marker.png","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":48.3238,"lon":-124.682,"alt":0,"address":"","icon":"http:\/\/prod-http-80-800498448.us-east-1.elb.amazonaws.com\/w\/images\/7\/74\/Aquamarine-marker.png","group":"","inlineLabel":"","visitedicon":""}]}

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


421

MHK Projects/Minas Basin Bay of Fundy Commercial Scale Demonstration | Open  

Open Energy Info (EERE)

Minas Basin Bay of Fundy Commercial Scale Demonstration Minas Basin Bay of Fundy Commercial Scale Demonstration < MHK Projects Jump to: navigation, search << Return to the MHK database homepage Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":5,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"500px","height":"350px","centre":false,"title":"","label":"","icon":"File:Aquamarine-marker.png","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":45.3658,"lon":-64.4294,"alt":0,"address":"","icon":"http:\/\/prod-http-80-800498448.us-east-1.elb.amazonaws.com\/w\/images\/7\/74\/Aquamarine-marker.png","group":"","inlineLabel":"","visitedicon":""}]}

422

Fast library for number theory: an introduction  

Science Conference Proceedings (OSTI)

We discuss FLINT (Fast Library for Number Theory), a library to support computations in number theory, including highly optimised routines for polynomial arithmetic and linear algebra in exact rings.

William B. Hart

2010-09-01T23:59:59.000Z

423

,"New Mexico Number of Natural Gas Consumers"  

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

1: Residential" "Sourcekey","NA1501SNM8","NA1508SNM8","NA1509SNM8" "Date","New Mexico Natural Gas Number of Residential Consumers (Count)","New Mexico Natural Gas Number of...

424

Bay Ridge Gardens - Mixed-Humid Affordable Multifamily Housing Deep Energy Retrofit  

SciTech Connect

Under this project, Newport Partners (as part of the BA-PIRC research team) evaluated the installation, measured performance, and cost-effectiveness of efficiency upgrade measures for a tenant-in-place DER at the Bay Ridge multifamily (MF) development in Annapolis, Maryland. The design and construction phase of the Bay Ridge project was completed in August 2012. This report summarizes system commissioning, short-term test results, utility bill data analysis, and analysis of real-time data collected over a one-year period after the retrofit was complete. The Bay Ridge project is comprised of a 'base scope' retrofit which was estimated to achieve a 30%+ savings (relative to pre-retrofit) on 186 apartments, and a 'DER scope' which was estimated to achieve 50% savings (relative to pre-retrofit) on a 12-unit building. The base scope was applied to the entire apartment complex, except for one 12-unit building which underwent the DER scope. A wide range of efficiency measures was applied to pursue this savings target for the DER building, including improvements/replacements of mechanical equipment and distribution systems, appliances, lighting and lighting controls, the building envelope, hot water conservation measures, and resident education. The results of this research build upon the current body of knowledge of multifamily retrofits. Towards this end, the research team has collected and generated data on the selection of measures, their estimated performance, their measured performance, and risk factors and their impact on potential measures.

Lyons, J.; Moore, M.; Thompson, M.

2013-08-01T23:59:59.000Z

425

Determination of benzo(a)pyrene, hexachlorobenzene and pentachlorophenol in oysters from Galveston Bay, Texas. [None  

SciTech Connect

Intensive development of industrial plants located along the Houston Ship Channel is a major potential source of refractory organic contaminants to the Galveston Bay estuarine system. Petroleum production and shipping also contribute extensively to the pollutant load of the Bay. For example, previous workers have reported that oyster samples collected at the lower end of the Houston Ship Channel, particularly Morgan's Point, consistently revealed high levels (130 to 240 ppM) of petroleum hydrocarbons. As bivalves have been suggested as potentially valuable sentinel organisms for indicating levels of pollutants in coastal marine waters, this study was undertaken to analyze oysters from Galveston Bay for selected pollutants. Three compounds, each representing a particular class of organic pollutant, were selected for determination in oysters (Crassostrea virginica) collected near Morgan's Point. These were benzo(a)pyrene (polycyclic aromatic hydrocarbon), hexachlorobenzene (polycholoroaromatic hydrocarbon), and pentachlorophenol (chlorinated phenol). These compounds were selected because of their large annual production, patterns of use and disposal which favor their entry into the oceans, high toxicity, and persistence in the environment.

Murray, H.E.; Neff, G.S.; Hrung, Y.; Giam, C.S.

1980-10-01T23:59:59.000Z

426

Number: 1 Description: How did the ...  

Science Conference Proceedings (OSTI)

... Number: 80 Description: What part did ITT (International Telephone and Telegraph) and Anaconda Copper play in the ...

2003-03-03T23:59:59.000Z

427

Number: 1 Description: What powers did ...  

Science Conference Proceedings (OSTI)

... top> Number: 10 Description: What is one of the major problems with electronic producing turbines (windmills) in California? ...

2002-11-04T23:59:59.000Z

428

Numerical simulation of low Mach number reacting flows  

Science Conference Proceedings (OSTI)

Using examples from active research areas in combustion andastrophysics, we demonstrate a computationally efficient numericalapproach for simulating multiscale low Mach number reacting flows. Themethod enables simulations that incorporate an unprecedented range oftemporal and spatial scales, while at the same time, allows an extremelyhigh degree of reaction fidelity. Sample applications demonstrate theefficiency of the approach with respect to a traditional time-explicitintegration method, and the utility of the methodology for studying theinteraction of turbulence with terrestrial and astrophysical flamestructures.

Bell, John B.; Aspden, Andrew J.; Day, Marcus S.; Lijewski,Michael J.

2007-06-20T23:59:59.000Z

429

Fueling area site assessment  

SciTech Connect

This report provides results of a Site Assessment performed at the Fuel Storage Area at Buckley ANG Base in Aurora, Colorado. Buckley ANG Base occupies 3,328 acres of land within the City of Aurora in Arapahoe County, Colorado. The Fuel Storage Area (also known as the Fueling Area) is located on the west side of the Base at the intersection of South Powderhorn Street and East Breckenridge Avenue. The Fueling Area consists of above ground storage tanks in a bermed area, pumps, piping, valves, an unloading stand and a fill stand. Jet fuel from the Fueling Area is used to support aircraft operations at the Base. Jet fuel is stored in two 200,000 gallon above ground storage tanks. Fuel is received in tanker trucks at the unloading stand located south and east of the storage tanks. Fuel required for aircraft fueling and other use is transferred into tanker trucks at the fill stand and transported to various points on the Base. The Fuel Storage Area has been in operation for over 20 years and handles approximately 7 million gallons of jet fuel annually.

1996-08-15T23:59:59.000Z

430

NSTB Summarizes Vulnerable Areas  

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

NSTB Summarizes Vulnerable Areas NSTB Summarizes Vulnerable Areas Commonly Found in Energy Control Systems Experts at the National SCADA Test Bed (NSTB) discovered some common areas of vulnerability in the energy control systems assessed between late 2004 and early 2006. These vulnerabilities ranged from conventional IT security issues to specific weaknesses in control system protocols. The paper "Lessons Learned from Cyber Security Assessments of SCADA and Energy Management Systems" describes the vulnerabilities and recommended strategies for mitigating them. It should be of use to asset owners and operators, control system vendors, system integrators, and third-party vendors interested in enhancing the security characteristics of current and future products.

431

area | OpenEI  

Open Energy Info (EERE)

area area Dataset Summary Description These estimates are derived from a composite of high resolution wind resource datasets modeled for specific countries with low resolution data originating from the National Centers for Environmental Prediction (United States) and the National Center for Atmospheric Research (United States) as processed for use in the IMAGE model. The high resolution datasets were produced by the National Renewable Energy Laboratory (United States), Risø DTU National Laboratory (Denmark), the National Institute for Space Research (Brazil), and the Canadian Wind Energy Association. The data repr Source National Renewable Energy Laboratory Date Released Unknown Date Updated Unknown Keywords area capacity clean energy international National Renewable Energy Laboratory

432

Air pollutant monitoring for the East Bay Children's Respiratory Health Study  

SciTech Connect

This report describes the methodology and presents the summary results of the air pollutant monitoring program conducted by Lawrence Berkeley National Laboratory in support of the East Bay Children's Respiratory Health Study. The full study is examining the effects of chronic exposure to traffic-related pollutants on respiratory health among 3rd and 4th grade children attending ten neighborhood elementary schools in the San Francisco East Bay Area (Hayward, San Leandro and Oakland, CA). The demographically similar schools are located at varying distances from the I-880 and CA-92 freeways. Several schools were selected because they are located within 300 m in the predominant downwind direction (east) from either of the freeways. Measurements of multiple pollutants were made outdoors at the schools over 1-2 week intervals for 14 weeks in spring and eight weeks in fall 2001 using a custom-designed and validated package of commercially available monitoring equipment. Particulate matter was sampled over all hours (24 h per day) or during schools hours only with battery-operated programmable pumps and inlet devices for PM{sub 10} and PM{sub 2.5}. These pumps were modified to allow for up to 10 days of continuous operation. Fine particle mass and black carbon (BC) were determined from the collected filters. Nitrogen oxides (NO{sub x} and NO{sub 2}) were measured with passive samplers. Carbon monoxide (CO) was measured continuously with an electrochemical sensor. Gasoline-related volatile organic compounds (VOCs) were measured with passive samplers during three 4-week intervals in spring 2001 and two 4-week periods in early 2002. All samplers were deployed in a metal cabinet located outside at each school. Ranges of study average pollutant concentrations (all-hours) at the ten individual schools were: NO{sub x}, 33-68 ppb; NO{sub 2}, 19-31 ppb; PM{sub 10} mass, 27-32 {micro}g/m{sup 3}; PM{sub 2.5} mass, 12-15 {micro}g/m{sup 3}; and BC associated with PM{sub 2.5}, 0.6-1.0 {micro}g/m{sup 3}. Although statistical analysis of the data is yet to be performed, some general observations can be made. Absolute pollutant levels varied by season and week, but the simultaneous sampling design allowed for comparisons of concentrations among schools during each interval. Pollutant concentrations at each school were normalized to the sampling period averages among all schools. The normalized concentrations were generally consistent at each school throughout the entire study, suggesting that measured differences represent ongoing conditions and chronic exposures in the vicinities of the schools. Substantially elevated concentrations of NO{sub x}, NO{sub 2}, and BC, and somewhat elevated concentrations of PM{sub 2.5} were observed at one school located less than 100 meters to the east of I-880. Normalized concentrations of NO{sub x}, NO{sub 2}, and BC were also higher at the three other ''nearby and downwind'' schools relative to those located far from any freeway or other major traffic source. An ancillary monitoring program was implemented to examine the correlation between school-based pollutant measurements and measurements throughout the neighborhoods adjacent to three of the schools. Volunteer households were obtained from among the families of participating schoolchildren. Concentrations of NO{sub x} and NO{sub 2} were measured with passive samplers outside the homes of these volunteers during one of two 1-week periods in spring 2002. Simultaneous measurements were conducted at all ten of the schools and a central monitoring station during each week. The neighborhoods surrounding two schools were predominantly upwind of the I-880 freeway, while the neighborhood surrounding the other school was downwind from I-880. The overall distribution of concentrations observed for the residences near the downwind school appeared to be substantially higher than the regional background concentrations. The variability observed within the neighborhoods appeared to be, at least in part, explained by the proximity of individual residences to the freeway or

Singer, Brett C.; Hotchi, Toshifumi; Hodgson, Alfred T.

2002-11-01T23:59:59.000Z

433

Sacramento Area Voltage Support Environmental Impact Statement  

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

E E R R A N E V A D A R E G I O N Sacramento Area Voltage Support DRAFT ENVIRONMENTAL IMPACT STATEMENT DRAFT ENVIRONMENTAL IMPACT STATEMENT DOE/EIS-0323 NOVEMBER 2002 COVER SHEET Title: Sacramento Area Voltage Support Draft Environmental Impact Statement (EIS) Lead Agency: Western Area Power Administration (Western) Location: Alameda, Contra Costa, Placer, Sacramento, San Joaquin, and Sutter Counties, State of California. EIS Number: DOE/EIS-0323 Contact: Ms. Loreen McMahon, Environmental Project Manager Western Area Power Administration Sierra Nevada Region 114 Parkshore Drive Folsom, CA 95630 (916) 353-4460 (916) 985-1936 fax email: mcmahon@wapa.gov Website: Information is also available on our website: www.wapa.gov Hotline: 1-877-913-4440 (toll-free) Abstract The Western Area Power Administration's Central Valley Project transmission system forms an integral part of

434

--No Title--  

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

University of California, Berkeley Abstract On October 17th 1989, a magnitude 7.1 earthquake shook the greater Bay Area, damaged and collapsed a number of buildings,...

435

Geographic Area Month  

Gasoline and Diesel Fuel Update (EIA)

Fuels by PAD District and State (Cents per Gallon Excluding Taxes) - Continued Geographic Area Month No. 1 Distillate No. 2 Distillate a No. 4 Fuel b Sales to End Users Sales for...

436

3. Producing Areas  

U.S. Energy Information Administration (EIA)

The OCS area provides surplus capacity to meet major seasonal swings in the lower 48 States gas requirements. The ... Jun-86 9,878 17,706 1,460 19,166 9,288 51.5

437

Western Area Power Administration  

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

Loveland Area Projects November 29-30, 2011 2 Agenda * Overview of Western Area Power Administration * Post-1989 Loveland Area Projects (LAP) Marketing Plan * Energy Planning and Management Program * Development of the 2025 PMI Proposal * 2025 PMI Proposal * 2025 PMI Comment Period & Proposal Information * Questions 3 Overview of Western Area Power Administration (Western) * One of four power marketing administrations within the Department of Energy * Mission: Market and deliver reliable, renewable, cost-based Federal hydroelectric power and related services within a 15-state region of the central and western U.S. * Vision: Provide premier power marketing and transmission services Rocky Mountain Region (RMR) is one of five regional offices 4 Rocky Mountain Region

438

300 AREA URANIUM CONTAMINATION  

SciTech Connect

{sm_bullet} Uranium fuel production {sm_bullet} Test reactor and separations experiments {sm_bullet} Animal and radiobiology experiments conducted at the. 331 Laboratory Complex {sm_bullet} .Deactivation, decontamination, decommissioning,. and demolition of 300 Area facilities

BORGHESE JV

2009-07-02T23:59:59.000Z

439

Decontamination & decommissioning focus area  

Science Conference Proceedings (OSTI)

In January 1994, the US Department of Energy Office of Environmental Management (DOE EM) formally introduced its new approach to managing DOE`s environmental research and technology development activities. The goal of the new approach is to conduct research and development in critical areas of interest to DOE, utilizing the best talent in the Department and in the national science community. To facilitate this solutions-oriented approach, the Office of Science and Technology (EM-50, formerly the Office of Technology Development) formed five Focus AReas to stimulate the required basic research, development, and demonstration efforts to seek new, innovative cleanup methods. In February 1995, EM-50 selected the DOE Morgantown Energy Technology Center (METC) to lead implementation of one of these Focus Areas: the Decontamination and Decommissioning (D & D) Focus Area.

NONE

1996-08-01T23:59:59.000Z

440

APS Area Emergency Supervisors  

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

Area Emergency Supervisors BUILDING AES AAES 400-EAA Raul Mascote Debra Eriksen-Bubulka 400-A (SPX) Tim Jonasson 400-Sectors 25-30 Reggie Gilmore 401-CLO Steve Downey Ed Russell...

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


441

Education Program for Improved Water Quality in Copano Bay Final Report  

E-Print Network (OSTI)

The Copano Bay watershed covers approximately 1.4 million acres encompassing portions of Karnes, Bee, Goliad, Refugio, San Patricio and Aransas counties. Copano Bay and its main tributaries, the Mission and Aransas rivers, were placed on the Texas Commission on Environmental Quality (TCEQ) 303(d) list in 1998 due to levels of bacteria that exceed water quality standards established to protect oyster waters use. A Total Maximum Daily Load (TMDL) program was initiated in September 2003 to identify and assess sources of these bacteria. The Center for Research in Water Resources at the University of Texas at Austin (UT CRWR) was funded by TCEQ to conduct computer-based modeling to determine the bacterial loading and reductions necessary to attain water quality standards. Subsequently Texas A&M University-Corpus Christi (TAMU-CC) conducted bacterial source tracking (BST) with funding from Texas General Land Office (TGLO) and the Coastal Bend Bays and Estuaries Program (CBBEP) to determine actual sources of bacteria. Due to the findings of the initial efforts of the TMDL and concerns voiced by stakeholders in the watershed, Texas AgriLife Extension Service was awarded a Clean Water Act § 319(h) Nonpoint Source Grant from the Texas State Soil and Water Conservation Board (TSSWCB) and the U.S. Environmental Protection Agency. The overall goal of this project was to improve water quality in Copano Bay and its tributaries by increasing awareness of water quality issues throughout the watershed. This increased awareness was to be accomplished by providing education and demonstrations for land and livestock owners in the watershed on best management practices (BMPs) to decrease or prevent bacteria from entering waterways. Through creation of a project website, 52 educational programs, and nine one-on-one consultations over the span of the project, we have reached 5,408 residents in and around the Copano Bay watershed. Additionally, through this project all data collected for the initial TMDL efforts was re-evaluated and findings were presented in the “Task 2 Report.” Project members developed a curriculum for horse owners, “A Guide to Good Horsekeeping” that addressed BMPs specific to horse operations. Land and livestock owners who had already implemented BMPs or were interested in implementing BMPs were given a participation certificate.

Berthold, A.; Moench, E.; Wagner, K.; Paschal, J.

2012-05-17T23:59:59.000Z

442

Utah Natural Gas Number of Gas and Gas Condensate Wells (Number...  

Annual Energy Outlook 2012 (EIA)

Gas and Gas Condensate Wells (Number of Elements) Utah Natural Gas Number of Gas and Gas Condensate Wells (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5...

443

Arizona Natural Gas Number of Gas and Gas Condensate Wells (Number...  

Annual Energy Outlook 2012 (EIA)

Gas and Gas Condensate Wells (Number of Elements) Arizona Natural Gas Number of Gas and Gas Condensate Wells (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5...

444

Kansas Natural Gas Number of Gas and Gas Condensate Wells (Number...  

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

Gas and Gas Condensate Wells (Number of Elements) Kansas Natural Gas Number of Gas and Gas Condensate Wells (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5...

445

Alaska Natural Gas Number of Gas and Gas Condensate Wells (Number...  

Annual Energy Outlook 2012 (EIA)

Gas and Gas Condensate Wells (Number of Elements) Alaska Natural Gas Number of Gas and Gas Condensate Wells (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5...

446

Montana Natural Gas Number of Gas and Gas Condensate Wells (Number...  

Annual Energy Outlook 2012 (EIA)

Gas and Gas Condensate Wells (Number of Elements) Montana Natural Gas Number of Gas and Gas Condensate Wells (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5...

447

Wyoming Natural Gas Number of Gas and Gas Condensate Wells (Number...  

Gasoline and Diesel Fuel Update (EIA)

Gas and Gas Condensate Wells (Number of Elements) Wyoming Natural Gas Number of Gas and Gas Condensate Wells (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5...

448

Indiana Natural Gas Number of Gas and Gas Condensate Wells (Number...  

Gasoline and Diesel Fuel Update (EIA)

Gas and Gas Condensate Wells (Number of Elements) Indiana Natural Gas Number of Gas and Gas Condensate Wells (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5...

449

Nevada Natural Gas Number of Gas and Gas Condensate Wells (Number...  

Annual Energy Outlook 2012 (EIA)

Gas and Gas Condensate Wells (Number of Elements) Nevada Natural Gas Number of Gas and Gas Condensate Wells (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5...

450

Oregon Natural Gas Number of Gas and Gas Condensate Wells (Number...  

Annual Energy Outlook 2012 (EIA)

Gas and Gas Condensate Wells (Number of Elements) Oregon Natural Gas Number of Gas and Gas Condensate Wells (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5...

451

Alabama Natural Gas Number of Gas and Gas Condensate Wells (Number...  

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

Gas and Gas Condensate Wells (Number of Elements) Alabama Natural Gas Number of Gas and Gas Condensate Wells (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5...

452

Ohio Natural Gas Number of Gas and Gas Condensate Wells (Number...  

Annual Energy Outlook 2012 (EIA)

Gas and Gas Condensate Wells (Number of Elements) Ohio Natural Gas Number of Gas and Gas Condensate Wells (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5...

453

Texas Natural Gas Number of Gas and Gas Condensate Wells (Number...  

Gasoline and Diesel Fuel Update (EIA)

Gas and Gas Condensate Wells (Number of Elements) Texas Natural Gas Number of Gas and Gas Condensate Wells (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5...

454

BayesCLUMPY: BAYESIAN INFERENCE WITH CLUMPY DUSTY TORUS MODELS  

SciTech Connect

Our aim is to present a fast and general Bayesian inference framework based on the synergy between machine learning techniques and standard sampling methods and apply it to infer the physical properties of clumpy dusty torus using infrared photometric high spatial resolution observations of active galactic nuclei. We make use of the Metropolis-Hastings Markov Chain Monte Carlo algorithm for sampling the posterior distribution function. Such distribution results from combining all a priori knowledge about the parameters of the model and the information introduced by the observations. The main difficulty resides in the fact that the model used to explain the observations is computationally demanding and the sampling is very time consuming. For this reason, we apply a set of artificial neural networks that are used to approximate and interpolate a database of models. As a consequence, models not present in the original database can be computed ensuring continuity. We focus on the application of this solution scheme to the recently developed public database of clumpy dusty torus models. The machine learning scheme used in this paper allows us to generate any model from the database using only a factor of 10{sup -4} of the original size of the database and a factor of 10{sup -3} in computing time. The posterior distribution obtained for each model parameter allows us to investigate how the observations constrain the parameters and which ones remain partially or completely undetermined, providing statistically relevant confidence intervals. As an example, the application to the nuclear region of Centaurus A shows that the optical depth of the clouds, the total number of clouds, and the radial extent of the cloud distribution zone are well constrained using only six filters. The code is freely available from the authors.

Asensio Ramos, A.; Ramos Almeida, C. [Instituto de AstrofIsica de Canarias, 38205, La Laguna, Tenerife (Spain)], E-mail: aasensio@iac.es

2009-05-10T23:59:59.000Z

455

Number of Gas and Gas Condensate Wells  

Annual Energy Outlook 2012 (EIA)

5 2000 2001 2002 2003 2004 Number of Gas and Gas Condensate Wells Producing at End of Year ... 152 170 165 195 224 Production (million cubic feet)...

456

Number of Gas and Gas Condensate Wells  

Gasoline and Diesel Fuel Update (EIA)

9 2000 2001 2002 2003 2004 Number of Gas and Gas Condensate Wells Producing at End of Year ... 280 300 225 240 251 Production (million cubic feet)...

457

Production mechanisms, number concentration, size distribution...  

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

Wiley Online Library (wileyonlinelibrary.com) DOI: 10.1002asl2.441 Meeting Report Production mechanisms, number concentration, size distribution, chemical composition, and...

458

Project Registration Number Assignments (Completed) | Department...  

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

& Publications Project Registration Number Assignments (Active) Technical Standards, DOE Orders and Applicable CFRsDEAR Crosswalk - February 2, 2002 All Active DOE Technical...

459

Project Registration Number Assignments (Active) | Department...  

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

Registration Number Assignments (Completed) All Active DOE Technical Standards Document Technical Standards, DOE Orders and Applicable CFRsDEAR Crosswalk - February 2, 2002...

460

Operational Area Monitoring Plan  

Office of Legacy Management (LM)

' ' SECTION 11.7B Operational Area Monitoring Plan for the Long -Term H yd rol og ical M o n i to ri ng - Program Off The Nevada Test Site S . C. Black Reynolds Electrical & Engineering, Co. and W. G. Phillips, G. G. Martin, D. J. Chaloud, C. A. Fontana, and 0. G. Easterly Environmental Monitoring Systems Laboratory U. S. Environmental Protection Agency October 23, 1991 FOREWORD This is one of a series of Operational Area Monitoring Plans that comprise the overall Environmental Monitoring Plan for the DOE Field Office, Nevada (DOEINV) nuclear and non- nuclear testing activities associated with the Nevada Test Site (NTS). These Operational Area Monitoring Plans are prepared by various DOE support contractors, NTS user organizations, and federal or state agencies supporting DOE NTS operations. These plans and the parent

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


461

The List: ORNL dominates in number of LEED projects | ornl.gov  

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

Knox News Sentinel - The List: ORNL dominates in number of LEED projects May 08, 2013 Department of Energy-related projects in Oak Ridge dominate the rankings (of Knoxville-area...

462

Lewis number effects on turbulent premixed flame structure  

DOE Green Energy (OSTI)

The influence of the Lewis number on turbulent flame front geometry is investigated in a premixed turbulent stagnation point flame. A laser tomography technique is used to obtain the flame shape, a fractal analysis of the multiscale flame edges is performed and the distribution of local flame front curvature is determined. Lean H[sub 2]/Air and C[sub 3]H[sub 8]/Air mixtures with similar burning rates were investigated with Lewis numbers of 0.33 and 1.85 respectively. At the conditions studied the laminar H[sub 2]/Air mixture is unstable and a cellular structure is observed. Turbulence in the reactant is generated by a perforated plate and the turbulent length scale (3mm) and intensity (7%) at the nozzle exit are fixed. The equivalence ratio is set so that the burning velocity is the same for all the cases. Results show clearly that the turbulent flame surface area is dependent on the Lewis number. For a Lewis number less than unity surface area production is observed. The shape of the flame front curvature distribution is not found to be very sensitive to the Lewis number. For the H[sub 2]/Air mixture the distribution is skewed toward the positive values indicating the presence of cusps while for the C[sub 3]H[sub 8]/Air mixture the distribution is more symmetrical. In both cases the average curvature is found to be zero, and if the local burning speed varies linearly with curvature, the local positive and negative burning velocity variations due to curvature will balance.

Goix, P.J. (Centre National de la Recherche Scientifique (CNRS), 230 - Mont-Saint-Aignan (France). URA CORIA); Shepherd, I.G. (Lawrence Berkeley Lab., CA (United States))

1992-09-01T23:59:59.000Z

463

Lewis number effects on turbulent premixed flame structure  

DOE Green Energy (OSTI)

The influence of the Lewis number on turbulent flame front geometry is investigated in a premixed turbulent stagnation point flame. A laser tomography technique is used to obtain the flame shape, a fractal analysis of the multiscale flame edges is performed and the distribution of local flame front curvature is determined. Lean H{sub 2}/Air and C{sub 3}H{sub 8}/Air mixtures with similar burning rates were investigated with Lewis numbers of 0.33 and 1.85 respectively. At the conditions studied the laminar H{sub 2}/Air mixture is unstable and a cellular structure is observed. Turbulence in the reactant is generated by a perforated plate and the turbulent length scale (3mm) and intensity (7%) at the nozzle exit are fixed. The equivalence ratio is set so that the burning velocity is the same for all the cases. Results show clearly that the turbulent flame surface area is dependent on the Lewis number. For a Lewis number less than unity surface area production is observed. The shape of the flame front curvature distribution is not found to be very sensitive to the Lewis number. For the H{sub 2}/Air mixture the distribution is skewed toward the positive values indicating the presence of cusps while for the C{sub 3}H{sub 8}/Air mixture the distribution is more symmetrical. In both cases the average curvature is found to be zero, and if the local burning speed varies linearly with curvature, the local positive and negative burning velocity variations due to curvature will balance.

Goix, P.J. [Centre National de la Recherche Scientifique (CNRS), 230 - Mont-Saint-Aignan (France). URA CORIA; Shepherd, I.G. [Lawrence Berkeley Lab., CA (United States)

1992-09-01T23:59:59.000Z

464

Customer Service Specialist Job Number: 54844874  

E-Print Network (OSTI)

. The credit company is able to link a customer's identification number with 1 A discussion of signatures can: identification numbers for the customer, the customer's credit company, and the merchant; the amount customers' identities. ffl The credit company will not know what customers buy. Security is implemented

Heller, Barbara

465

enter part number BNC / RP-BNC  

E-Print Network (OSTI)

enter part number Products 7/16 1.0/2.3 1.6/5.6 AFI AMC BNC / RP-BNC C FAKRA SMB FME HN MCX Mini ------- Product Search ------- Inventory Search Search Results for: 31-10152-RFX Results: 1 - 1 of 1 Part Number. All rights reserved. Copyright | Terms & Conditions | RF E-Mail Client | Contact Us | Amphenol

Berns, Hans-Gerd

466

Texas Area | Open Energy Information  

Open Energy Info (EERE)

Area Area Jump to: navigation, search Contents 1 Clean Energy Clusters in the Texas Area 1.1 Products and Services in the Texas Area 1.2 Research and Development Institutions in the Texas Area 1.3 Networking Organizations in the Texas Area 1.4 Investors and Financial Organizations in the Texas Area 1.5 Policy Organizations in the Texas Area Clean Energy Clusters in the Texas Area Products and Services in the Texas Area Loading map... {"format":"googlemaps3","type":"ROADMAP","types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"limit":500,"offset":0,"link":"all","sort":[""],"order":[],"headers":"show","mainlabel":"","intro":"","outro":"","searchlabel":"\u2026

467

Rockies Area | Open Energy Information  

Open Energy Info (EERE)

Rockies Area Rockies Area Jump to: navigation, search Contents 1 Clean Energy Clusters in the Rockies Area 1.1 Products and Services in the Rockies Area 1.2 Research and Development Institutions in the Rockies Area 1.3 Networking Organizations in the Rockies Area 1.4 Investors and Financial Organizations in the Rockies Area 1.5 Policy Organizations in the Rockies Area Clean Energy Clusters in the Rockies Area Products and Services in the Rockies Area Loading map... {"format":"googlemaps3","type":"ROADMAP","types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"limit":500,"offset":0,"link":"all","sort":[""],"order":[],"headers":"show","mainlabel":"","intro":"","outro":"","searchlabel":"\u2026

468

Compendium of Experimental Cetane Number Data  

DOE Green Energy (OSTI)

In this report, we present a compilation of reported cetane numbers for pure chemical compounds. The compiled database contains cetane values for 299 pure compounds, including 156 hydrocarbons and 143 oxygenates. Cetane number is a relative ranking of fuels based on the amount of time between fuel injection and ignition. The cetane number is typically measured either in a combustion bomb or in a single-cylinder research engine. This report includes cetane values from several different measurement techniques - each of which has associated uncertainties. Additionally, many of the reported values are determined by measuring blending cetane numbers, which introduces significant error. In many cases, the measurement technique is not reported nor is there any discussion about the purity of the compounds. Nonetheless, the data in this report represent the best pure compound cetane number values available from the literature as of August 2004.

Murphy, M. J.; Taylor, J. D.; McCormick, R. L.

2004-09-01T23:59:59.000Z

469

Compare Activities by Number of Computers  

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

Number of Computers Number of Computers Compare Activities by ... Number of Computers Office buildings contained the most computers per square foot, followed by education and outpatient health care buildings. Education buildings were the only type with more than one computer per employee. Religious worship and food sales buildings had the fewest computers per square foot. Percent of All Computers by Building Type Figure showing percent of all computers by building type. If you need assistance viewing this page, please call 202-586-8800. Computer Data by Building Type Number of Buildings (thousand) Total Floorspace (million square feet) Number of Employees (thousand) Total Computers (thousand) Computers per Million Square Feet Computers per Thousand Employees All Buildings 4,657

470

Photon-number tomography and fidelity  

E-Print Network (OSTI)

The scheme of photon-number tomography is discussed in the framework of star-product quantization. The connection of dual quantization scheme and observables is reviewed. The quantizer and dequantizer operators and kernels of star product of tomograms in photon-number tomography scheme and its dual one are presented in explicit form. The fidelity and state purity are discussed in photon{number tomographic scheme, and the expressions for fidelity and purity are obtained in the form of integral of the product of two photon-number tomograms with integral kernel which is presented in explicit form. The properties of quantumness are discussed in terms of inequalities on state photon{number tomograms.

O. V. Man'ko

2012-12-23T23:59:59.000Z

471

Final Project Report, Bristol Bay Native Corporation Wind and Hydroelectric Feasibility Study  

DOE Green Energy (OSTI)

The Bristol Bay Native Corporation (BBNC) grant project focused on conducting nine wind resource studies in eight communities in the Bristol Bay region of southwest Alaska and was administered as a collaborative effort between BBNC, the Alaska Energy Authority, Alaska Village Electric Cooperative, Nushagak Electric Cooperative (NEC), Naknek Electric Association (NEA), and several individual village utilities in the region. BBNC’s technical contact and the project manager for this study was Douglas Vaught, P.E., of V3 Energy, LLC, in Eagle River, Alaska. The Bristol Bay region of Alaska is comprised of 29 communities ranging in size from the hub community of Dillingham with a population of approximately 3,000 people, to a few Native Alaska villages that have a few tens of residents. Communities chosen for inclusion in this project were Dillingham, Naknek, Togiak, New Stuyahok, Kokhanok, Perryville, Clark’s Point, and Koliganek. Selection criteria for conduction of wind resource assessments in these communities included population and commercial activity, utility interest, predicted Class 3 or better wind resource, absence of other sources of renewable energy, and geographical coverage of the region. Beginning with the first meteorological tower installation in October 2003, wind resource studies were completed at all sites with at least one year, and as much as two and a half years, of data. In general, the study results are very promising for wind power development in the region with Class 6 winds measured in Kokhanok; Class 4 winds in New Stuyahok, Clark’s Point, and Koliganek; Class 3 winds in Dillingham, Naknek, and Togiak; and Class 2 winds in Perryville. Measured annual average wind speeds and wind power densities at the 30 meter level varied from a high of 7.87 meters per second and 702 watts per square meter in Kokhanok (Class 6 winds), to a low of 4.60 meters per second and 185 watts per square meter in Perryville (Class 2 winds).

Vaught, Douglas J.

2007-03-31T23:59:59.000Z

472

Mercury speciation in Galveston Bay, Texas: the importance of complexation by natural organic ligands  

E-Print Network (OSTI)

The major goal of this research is the development of a competitive ligand equilibration-solvent solvent extraction (CLE-SSE) method to determine organically complexed mercury species in estuarine water. The method was applied to estuarine surface waters of Galveston Bay and the water column of Offatts Bayou. Thermodynamic equilibrium modeling estimated organically complexed mercury species in estuarine water using the conditional stability constants of mercury-organic complexes and the concentrations of organic ligands determined by CLE-SSE. Two competing ligands, chloride and thiosalicylic acid (TSA), were used for CLE-SSE. Chloride ion competition determined conditional stability constants for 1 : 1 mercury-ligand complexes ranging from ~1023 to ~1024 with concentrations of organic ligands at low nM levels. TSA competition determined stronger mercury-binding ligands by manipulating the TSA concentration such that a higher binding strength was achieved than that for the mercury-chloride complex. TSA competition determined conditional stability constants for 1 : 1 mercury-ligand complexes ranging from ~1027 to ~1029, with ligand concentrations ranging from 10 to 100 pM. Mercury-organic binding strengths in these ranges are consistent with bidentate mercury complexation by low molecular weight organic thiols. A linear relationship was observed between log stability constants for the mercury-ligand complex and log ligand concentrations, supporting the hypothesis that there is a continuum of mercury binding site strengths associated with dissolved organic matter. In Galveston Bay, organically complexed mercury accounted for > 95 % of the total dissolved mercury in surface water. Organic complexation of mercury coupled with mercury dissolution from particulate phases controls the filter-passing mercury distribution in surface waters of Galveston Bay. The estuarine distributional features of mercury-complexing organic ligands were similar to those of glutathione, supporting mercury complexation by a thiol binding group. In Offatts Bayou, a seasonally anoxic bayou on Galveston Bay, thermodynamic equilibrium modeling suggests that the speciation of dissolved mercury in anoxic systems is dominated by sulfide complexation rather than organic complexation.

Han, Seunghee

2004-12-01T23:59:59.000Z

473

Stockpile Stewardship Quarterly Volume 1, Number 4  

National Nuclear Security Administration (NNSA)

1, Number 4 * February 2012 1, Number 4 * February 2012 Message from the Assistant Deputy Administrator for Stockpile Stewardship, Chris Deeney Defense Programs Stockpile Stewardship in Action Volume 1, Number 4 Inside this Issue 2 Applying Advanced Simulation Models to Neutron Tube Ion Extraction 3 Advanced Optical Cavities for Subcritical and Hydrodynamic Experiments 5 Progress Toward Ignition on the National Ignition Facility 7 Commissioning URSA Minor: The First LTD-Based Accelerator for Radiography 8 Publication Highlights 9 2011 NNSA Stewardship Science Graduate Fellowship Class S tockpile Stewardship Science is not for wimps, and

474

borrow_area.cdr  

Office of Legacy Management (LM)

information information at Weldon Spring, Missouri. This site is managed by the U.S. Department of Energy Office of Legacy Management. developed by the former WSSRAP Community Relations Department to provide comprehensive descriptions of key activities that took place throughout the cleanup process The Missouri Department of Conservation (MDC) approved a plan on June 9, 1995, allowing the U.S. Department of Energy (DOE) at the Weldon Spring Site Remedial Action Project (WSSRAP) to excavate nearly 2 million cubic yards of clay material from land in the Weldon Spring Conservation Area. Clay soil from a borrow area was used to construct the permanent disposal facility at the Weldon Spring site. Clay soil was chosen to construct the disposal facility because it has low permeability when

475

Focus Area Summary  

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

information provided was consolidated from the original five focus areas for the EM information provided was consolidated from the original five focus areas for the EM Corporate QA Board. The status of QAP/QIP approvals etc. was accurate at the time of posting; however, additional approvals may have been achieved since that time. If you have any questions about the information provided, please contact Bob Murray at robert.murray@em.doe.gov Task # Task Description Status 1.1 Develop a brief questionnaire to send out to both commercial and EM contractors to describe their current approach for identifying the applicable QA requirements for subcontractors, tailoring the requirements based upon risk, process for working with procurement to ensure QA requirements are incorporated into subcontracts, and implementing verification of requirement flow-down by their

476

Focus Area 3 Deliverables  

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

3 - Commercial Grade item and Services 3 - Commercial Grade item and Services Dedication Implementation and Nuclear Services Office of Environmental Management And Energy Facility Contractors Group Quality Assurance Improvement Project Plan Project Focus Area Task # and Description Deliverable Project Area 3-Commercial Grade Item and Services Dedication 3.1-Complete a survey of selected EM contractors to identify the process and basis for their CGI dedication program including safety classification of items being dedicated for nuclear applications within their facilities Completed Survey Approvals: Yes/No/NA Project Managers: S. Waisley, D. Tuttel Yes Executive Committee: D. Chung, J. Yanek, N. Barker, D. Amerine No EM QA Corporate Board: No Energy Facility Contractors Group

477

Argonne area restaurants  

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

area restaurants area restaurants Amber Cafe 13 N. Cass Ave. Westmont, IL 60559 630-515-8080 www.ambercafe.net Argonne Guest House Building 460 Argonne, IL 60439 630-739-6000 www.anlgh.org Ballydoyle Irish Pub & Restaurant 5157 Main Street Downers Grove, IL 60515 630-969-0600 www.ballydoylepub.com Bd's Mongolian Grill The Promenade Shopping Center Boughton Rd. & I-355 Bolingbrook, IL 60440 630-972-0450 www.gomongo.com Branmor's American Grill 300 Veterans Parkway Bolingbrook, IL 60440 630-226-9926 www.branmors.com Buca di Beppo 90 Yorktown Convenience Center Lombard, IL 60148 630-932-7673 www.bucadibeppo.com California Pizza Kitchen 551 Oakbrook Center Oak Brook, IL 60523 630-571-7800 www.cpk.com Capri Ristorante 5101 Main Street Downers Grove, IL 60516 630-241-0695 www.capriristorante.com Carrabba's Italian Grill

478

EA-1177: Salvage/Demolition of 200 West Area, 200 East Area, and 300 Area  

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

7: Salvage/Demolition of 200 West Area, 200 East Area, and 7: Salvage/Demolition of 200 West Area, 200 East Area, and 300 Area Steam Plants, Richland, Washington EA-1177: Salvage/Demolition of 200 West Area, 200 East Area, and 300 Area Steam Plants, Richland, Washington SUMMARY This EA evaluates the environmental impacts for the proposal to salvage and demolish the 200 West Area, 200 East Area, and 300 Area steam plants and their associated steam distribution piping equipment, and ancillary facilities at the U.S. Department of Energy Hanford Site in Richland, Washington. PUBLIC COMMENT OPPORTUNITIES None available at this time. DOCUMENTS AVAILABLE FOR DOWNLOAD October 21, 1996 EA-1177: Finding of No Significant Impact Salvage/Demolition of 200 West Area, 200 East Area, and 300 Area Steam Plants October 21, 1996 EA-1177: Final Environmental Assessment

479

ARE Update Volume 11, Number 5  

E-Print Network (OSTI)

northward to Chicago-area refineries. The Gulf Coast is notEnergy Corporation’s McKee refinery in Texas on April 13of Canadian imports, and low refinery throughput in general.

de Wit, Joeri; Smith, Aaron; Kovacs, Kent; Simon, Leo K.; Stratton, Susan

2008-01-01T23:59:59.000Z

480

ARE Update Volume 12, Number 1  

E-Print Network (OSTI)

Yield Area Ending Stocks corn-ethanol and soybean-biodiesel,Q FB . The quantity of corn for ethanol is Q TB – Q FB . Asethanol, we find that ethanol raised corn prices at least 18

Sexton, Steven E; Rajagopal, Deepak; Zilberman, David D; Aker, Jenny

2008-01-01T23:59:59.000Z

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


481

Alternative Fuels in Trucking Volume 5, Number 4  

Alternative Fuels and Advanced Vehicles Data Center (EERE)

N N atural gas costs less to pro- duce than gasoline and diesel fuel. However, it must be delivered to the market area and compressed or liquefied before being put into the vehicle fuel tank, steps that add significant cost. Whether the natural gas at the vehicle fuel tank retains a price advantage over gasoline or diesel fuel depends on many factors. A few of the most important are: * Distance from the wellhead to the market area * The gas volumes over which the costs of compression or liquefac- tion are spread * The numbers of vehicles being fueled at a given refueling site. Vehicles using natural gas also cost more than comparable gasoline and diesel vehicles because the fuel tanks are inherently more expensive, whether the gas is compressed (CNG) or liquefied (LNG). At this

482

The Golden Gate Textile Barrier: Preserving California Bay of San Francisco from a Rising North Pacific Ocean  

E-Print Network (OSTI)

Climate change in California may require construction of a barrier separating the Pacific Ocean from San Francisco Bay and the Sacramento River-San Joaquin River Delta simply because Southern California is remarkably dependent on freshwater exported from the Delta. We offer a new kind of salt barrier, a macroproject built of impermeable textile materials stretched across the Golden Gate beneath the famous bridge. We anticipate it might eventually substitute for a recently proposed San Francisco In-Stream Tidal Power Plant harnessing a 1.7 m tide at the Bay entrance if future climate conditions Statewide is conducive. First-glance physics underpin our macroproject.

Richart B. Cathcart; Alexander A. Bolonkin

2007-02-04T23:59:59.000Z

483

What's Behind the Numbers? | Department of Energy  

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

What's Behind the Numbers? What's Behind the Numbers? What's Behind the Numbers? June 24, 2011 - 3:39pm Addthis What's Behind the Numbers? Dr. Richard Newell Dr. Richard Newell What does this mean for me? New website shows data on the why's, when's and how's of crude oil prices. Among the most visible prices that consumers may see on a daily basis are the ones found on the large signs at the gasoline stations alongside our streets and highways. The biggest single factor affecting gasoline prices is the cost of crude oil, the main raw material for gasoline production, which accounts for well over half the price of gasoline at the pump. But what is behind the price of crude oil? This week the U.S. Energy Information Administration (EIA) launched a new web-based assessment highlighting key factors that can affect crude oil

484

Number of Gas and Gas Condensate Wells  

Annual Energy Outlook 2012 (EIA)

3 2000 2001 2002 2003 2004 Number of Gas and Gas Condensate Wells Producing at End of Year ... 22,442 22,117 23,554 18,774 16,718 Production...

485

Number of Gas and Gas Condensate Wells  

Annual Energy Outlook 2012 (EIA)

2004 1 2000 2001 2002 2003 2004 Number of Gas and Gas Condensate Wells Producing at End of Year... 341,678 373,304 387,772 393,327 405,048 Production...

486

Number of Gas and Gas Condensate Wells  

Gasoline and Diesel Fuel Update (EIA)

1 2000 2001 2002 2003 2004 Number of Gas and Gas Condensate Wells Producing at End of Year ... 1,169 1,244 1,232 1,249 1,272 Production (million...

487

Climate Zone Number 1 | Open Energy Information  

Open Energy Info (EERE)

Climate Zone Number 1 Climate Zone Number 1 Jump to: navigation, search A type of climate defined in the ASHRAE 169-2006 standard. Climate Zone Number 1 is defined as Very Hot - Humid(1A) with IP Units 9000 < CDD50ÂşF and SI Units 5000 < CDD10ÂşC Dry(1B) with IP Units 9000 < CDD50ÂşF and SI Units 5000 < CDD10ÂşC . The following places are categorized as class 1 climate zones: Broward County, Florida Hawaii County, Hawaii Honolulu County, Hawaii Kalawao County, Hawaii Kauai County, Hawaii Maui County, Hawaii Miami-Dade County, Florida Monroe County, Florida Retrieved from "http://en.openei.org/w/index.php?title=Climate_Zone_Number_1&oldid=21604" Category: ASHRAE Climate Zones What links here Related changes Special pages Printable version Permanent link Browse properties

488

Climate Zone Number 8 | Open Energy Information  

Open Energy Info (EERE)

Datasets Community Login | Sign Up Search Page Edit History Facebook icon Twitter icon Climate Zone Number 8 Jump to: navigation, search A type of climate defined in the ASHRAE...

489

Number of Interactions Involved in Software Failures ...  

Science Conference Proceedings (OSTI)

... Table 2. Number of variables in avionics software branches. Vars, Count, Pct, Cumulative. 1, 5691, 74.1%, 74.1%. 2, 1509, 19.6%, 93.7%. ...

490

Contractor: Contract Number: Contract Type: Total Estimated  

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

Number: Contract Type: Total Estimated Contract Cost: Performance Period Total Fee Earned FY2008 2,550,203 FY2009 39,646,446 FY2010 64,874,187 FY2011 66,253,207 FY2012...

491

Richardson Number Statistics in the Seasonal Thermocline  

Science Conference Proceedings (OSTI)

Statistics of Richardson number in the seasonal thermocline are determined for a simple model and from experiments over the continental shelf. The model consists of normally distributed and uncorrelated density gradient and shear (such as may be ...

Laurie Padman; Ian S. F. Jones

1985-07-01T23:59:59.000Z

492

Source codes as random number generators  

E-Print Network (OSTI)

Abstract—A random number generator generates fair coin flips by processing deterministically an arbitrary source of nonideal randomness. An optimal random number generator generates asymptotically fair coin flips from a stationary ergodic source at a rate of bits per source symbol equal to the entropy rate of the source. Since optimal noiseless data compression codes produce incompressible outputs, it is natural to investigate their capabilities as optimal random number generators. In this paper we show under general conditions that optimal variable-length source codes asymptotically achieve optimal variable-length random bit generation in a rather strong sense. In particular, we show in what sense the Lempel–Ziv algorithm can be considered an optimal universal random bit generator from arbitrary stationary ergodic random sources with unknown distributions. Index Terms — Data compression, entropy, Lempel–Ziv algorithm, random number generation, universal source coding.

Karthik Visweswariah; Student Member; Sanjeev R. Kulkarni; Senior Member; Sergio Verdú

1998-01-01T23:59:59.000Z

493

Ion Stopping Powers and CT Numbers  

SciTech Connect

One of the advantages of ion beam therapy is the steep dose gradient produced near the ion's range. Use of this advantage makes knowledge of the stopping powers for all materials through which the beam passes critical. Most treatment planning systems calculate dose distributions using depth dose data measured in water and an algorithm that converts the kilovoltage X-ray computed tomography (CT) number of a given material to its linear stopping power relative to water. Some materials present in kilovoltage scans of patients and simulation phantoms do not lie on the standard tissue conversion curve. The relative linear stopping powers (RLSPs) of 21 different tissue substitutes and positioning, registration, immobilization, and beamline materials were measured in beams of protons accelerated to energies of 155, 200, and 250 MeV; carbon ions accelerated to 290 MeV/n; and iron ions accelerated to 970 MeV/n. These same materials were scanned with both kilovoltage and megavoltage CT scanners to obtain their CT numbers. Measured RLSPs and CT numbers were compared with calculated and/or literature values. Relationships of RLSPs to physical densities, electronic densities, kilovoltage CT numbers, megavoltage CT numbers, and water equivalence values converted by a treatment planning system are given. Usage of CT numbers and substitution of measured values into treatment plans to provide accurate patient and phantom simulations are discussed.

Moyers, Michael F., E-mail: MFMoyers@roadrunner.co [Department of Proton Therapy, Inc., Colton, CA (United States); Sardesai, Milind [Department of Long Beach Memorial Medical Center, Long Beach, CA (United States); Sun, Sean [Department of City of Hope National Medical Center, Duarte, CA (United States); Miller, Daniel W. [Department of Loma Linda University Medical Center, Loma Linda, CA (United States)

2010-10-01T23:59:59.000Z

494

San Francisco Bay Area’s Spare the Air/Free Morning Commute Program: Program Effectiveness in Comparison to the Washington, D.C. and Los Angeles Area Strategy and Suggestions for Enhancing Ridership D.  

E-Print Network (OSTI)

the National Capital Region. Washington, DC: MWCOG. pg “3-2”and Monitoring Appendix D: Washington, D.C. Air QualityImplementation Plan. ” Washington, D.C. : MWAQC. Pg. 7-66.

Joshua Widmann

2006-01-01T23:59:59.000Z

495

Stratigraphic controls on fluid distribution: An example from Prudhoe Bay, Alaska  

SciTech Connect

Oil, gas, and water distribution in three drill sites (1 79 wells) studied in the Prudhoe Bay Field is controlled dominantly by sandstone and shale stratigraphy. Detailed reservoir description, encompassing genetic-stratigraphic correlations and three-dimensional reservoir modeling has provided a new look at the locations of remaining reserves in the upper Romeo and Tango intervals of the Ivishak Sandstone. Greater than 22 billion stock tank barrels constitute in-place oil reserves in Prudhoe Bay Field. Production in excess of nine billion barrels, in conjunction with waterflood and tertiary-recovery projects, has created a complex distribution of reservoir fluids. As oil is produced, the gas-cap expands and intersects laterally extensive shales to form gas underruns. Underruns are of great economic concern as they disrupt the NLOC and segregate oil lenses as well as causing high GOR wells. Recovering these oil lenses at low GORs requires precise analysis of in-place fluids, well placement, and completion strategy. Core descriptions and stratigraphic correlations provided the basis for facies interpretations and the deterministic division of the strata into twenty-four reservoir layers (twelve sandstone and shale units). Isochore, fluid-distribution, and NILOC maps were compiled for the reservoir horizons. Stratigraphic, structural, and fluid data integrated within a three-dimensional model resulted in an improved fluid-distribution picture and revealed numerous development opportunities including infill wells, sidetracks, and recompletions.

Burns, B.A.; Knock, D.; Tye, R.S. (ARCO Alaska, Anchorage, AK (United States))

1996-01-01T23:59:59.000Z

496

Information summary, Area of Concern: Ashtabula River, Ohio. Final report  

SciTech Connect

The Water Quality Act of 1987, Section 118, authorizes the Great Lakes National Program Office (GLNPO) to carry out a 5-year study and demonstration project, Assessment and Remediation of Contaminated Sediments (ARCS), with emphasis on the removal of toxic pollutants from bottom sediments. Information from the ARCS program is to be used to guide the development of Remedial Action Plans (RAPs) for 42 identified Great Lakes Areas of Concern (AOCs) as well as Lake-wide Management Plans. The AOCs are areas where serious impairment of beneficial uses of water or biota (drinking, swimming, fishing, navigation, etc.) is known to exist, or where environmental quality criteria are exceeded to the point that such impairment is likely. Priority consideration was given to the following AOCs: Saginaw Bay, Michigan; Sheboygan Harbor, Wisconsin; Grand Calumet River, Indiana; Ashtabula River, Ohio; and Buffalo River, New York. This report summarizes the information obtained for the Ashtabula River AOC. (GLNPO Subject-Reference Matrix). Data and information from numerous reports have been included as figures and tables; wherever possible, the reference sources are identified.

Tatem, H.E.; Brandon, D.L.; Lee, C.R.; Simmers, J.W.; Skogerboe, J.G.

1990-12-01T23:59:59.000Z

497

Large area bulk superconductors  

DOE Patents (OSTI)

A bulk superconductor having a thickness of not less than about 100 microns is carried by a polycrystalline textured substrate having misorientation angles at the surface thereof not greater than about 15.degree.; the bulk superconductor may have a thickness of not less than about 100 microns and a surface area of not less than about 50 cm.sup.2. The textured substrate may have a thickness not less than about 10 microns and misorientation angles at the surface thereof not greater than about 15.degree.. Also disclosed is a process of manufacturing the bulk superconductor and the polycrystalline biaxially textured substrate material.

Miller, Dean J. (Darien, IL); Field, Michael B. (Jersey City, NJ)

2002-01-01T23:59:59.000Z

498

Safety analysis, 200 Area, Savannah River Plant: Separations area operations  

Science Conference Proceedings (OSTI)

The nev HB-Line, located on the fifth and sixth levels of Building 221-H, is designed to replace the aging existing HB-Line production facility. The nev HB-Line consists of three separate facilities: the Scrap Recovery Facility, the Neptunium Oxide Facility, and the Plutonium Oxide Facility. There are three separate safety analyses for the nev HB-Line, one for each of the three facilities. These are issued as supplements to the 200-Area Safety Analysis (DPSTSA-200-10). These supplements are numbered as Sup 2A, Scrap Recovery Facility, Sup 2B, Neptunium Oxide Facility, Sup 2C, Plutonium Oxide Facility. The subject of this safety analysis, the, Plutonium Oxide Facility, will convert nitrate solutions of {sup 238}Pu to plutonium oxide (PuO{sub 2}) powder. All these new facilities incorporate improvements in: (1) engineered barriers to contain contamination, (2) barriers to minimize personnel exposure to airborne contamination, (3) shielding and remote operations to decrease radiation exposure, and (4) equipment and ventilation design to provide flexibility and improved process performance.

Perkins, W.C.; Lee, R.; Allen, P.M.; Gouge, A.P.

1991-07-01T23:59:59.000Z

499

Western Area Power Administration  

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

v*Zy- i , . v*Zy- i , . r ,v * -i S # Af [, (e- . - o -A tl }r- 0 v-" l^~4~S J l ^-)^ I^U^ck iM clti ^ Area Power Administration Follow-up to Nov. 25, 2008 Transition Meeting Undeveloped Transmission Right-of-Way Western has very little undeveloped transmission right-of-way. There is a 7-mile right- of-way between Folsom, CA and Roseville, CA where Western acquired a 250' wide right-of-way but is only using half of it. Another line could be built parallel to Western's line to relieve congestion in the Sacramento area. In addition, Western has rights-of- way for many transmission lines that could be rebuilt to increase transmission capacity. For example, Western's Tracy-Livermore 230-kV line is a single circuit line but the existing towers could support a double circuit line. These rights-of-way would have to

500

Economic Effects of Land Subsidence Due to Excessive Groundwater Withdrawal in the Texas Gulf Coast Area  

E-Print Network (OSTI)

Land surface subsidence continues to be a destructive force in the Texas Gulf Coast area. The sinking of the surface has been linked by engineers to the withdrawal of groundwater. Subsidence causes damages and property value losses as saltwater encroachment is increased, property is permanently inundated, and temporary flooding is intensified. This study provides estimates of private and public costs attributable to land subsidence in a 945 square mile area that has subsided one foot or more since 1943. Estimates are divided into three sub-areas within this total area to provide insight into the incidence of subsidence-related costs. The sub-areas considered in this study were sub-area I, an 83 square mile area between Houston and Baytown containing square mile sample blocks adjacent to the upper Galveston bay and/or Buffalo Bayou and the Houston Ship Channel; sub-area II, the 25 square mile area surrounding Clear Lake and adjacent land fronting on Galveston bay; and sub-area III, the remaining area within the total 945 square mile area that had experienced subsidence of approximately two feet or more since 1943. Personal interviews, using questionnaires designed for reporting of damages and property value losses by a random sample of owners of residential, commercial and industrial property, comprised the data base for estimating total private costs attributable to subsidence. Public costs (federal, state, county and municipal) were obtained from personal interviews with public officials. In total, over 1100 interviews were conducted in the study area. Data from these interviews were expanded to total cost estimates for the subsiding area. Physical effects of surface subsidence were found to be largely dependent upon location of the property. Most damages and losses in property value occur in those areas in close proximity to Galveston bay and/or major waterways. Temporary flooding, permanent inundation, bulkheading and landfilling were the major subsidence-related causes of cost and/or losses in property value. Structural damages, largely from subsidence aggravated surface faults, were also significant. These comprised a higher proportion of damages in areas remote from the waterfront than in low lying areas subject to frequent flooding or permanent inundation. Estimated annual costs and property value losses totaled over $31.7 million per year for the study area as a whole. These were primarily costs to residential, commercial and industrial property owners, but included over $.5 million per year in public costs for damage abatement or repair to public facilities. Estimated costs by sub-areas revealed a higher incidence and intensity of damage and property value loss in waterfront (I and II) than in non-waterfront areas (III). Estimated costs in sub-areas I, II and III were $8.79 million, $5 million and $17.4 million, respectively. Sub-area I, which made up about 8.8 percent of the total study area, experienced 27.7 percent of total subsidence-related costs. Sub-area II experienced 15.8 percent of total costs while occupying only 3 percent of the total study area. And, although sub-area III had almost 55 percent of the total costs, it includes over 88 percent of the total area. Hence, subsidence damages and losses in property value are concentrated heavily in areas in close proximity to the immediate coastline of Galveston bay, Buffalo Bayou, Clear Lake and Taylor Lake. Other sections throughout the study area experienced damages and property losses but less frequently and less intensively. A comparative analysis of the total costs of groundwater pumping with alternative surface water importation was developed to examine the economic feasibility of importing surface water to displace groundwater as a means of avoiding annual subsidence costs. A break-even analysis revealed that for the five year period 1969-73, the importation of surface water to meet all the area's water needs (up to 198.16 billion gallons per year) would have been economically justifi

Jones, L. L.; Larson, J.

1975-09-01T23:59:59.000Z