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  1. Daya Bay

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Bay Daya Bay Basics The basics of Daya Bay computing at PDSF. Read More » Data Management All Daya Bay raw data is transferred to PDSF. Read More » File Systems Daya Bay has space on 2 elizas: 6TB on /eliza7 and 35TB on /eliza16. Read More » Running on Carver The Daya Bay software is installed on PDSF on /common so is therefore unavailable on Carver. At this point there has been no effort to port the code to /project for use on... Read More » Last edited: 2016-04-29 11:35:01

  2. Hooper Bay Efficiency Feasibility Study

    Office of Environmental Management (EM)

    (OUR PEOPLE) Hooper Bay Energy Efficiency Feasibility ... The name Hooper Bay came into common usage after a post ... BAY IS MARITIME. THE MEAN ANNUAL SNOWFALL IS 75 INCHES ...

  3. Reconnaissance survey of eight bays in Puget Sound

    SciTech Connect

    Strand, J.A.; Crecelius, E.A.; Pearson, W.H.; Fellingham, G.W.; Elston, R.E.

    1988-03-01

    From 1983 to 1985, Battelle/Marine Research Laboratory conducted reconnaissance-level field and laboratory studies to better characterize toxic contamination problems occurring in selected urban-industrialized bays (Bellingham Bay, Port Gardner - Everett Harbor, Fourmile Rock - Elliot Bay dump site vicinity, Sinclair Inlet) of Puget Sound. It was envisioned that this goal was best achieved by simultaneously determining levels of contamination in selected baseline or 'reference bays' (Samish Bay, Case Inlet, Dabob Bay, Sequim Bay). Two major tasks composed this effort. The first was conducted in 1983 and consisted of preliminary or screening surveys to collect and analyze sediment samples from 101 stations distributed in the four urban-industrialized bays (Figure 1), and at 80 stations distributed in the four baseline bays (Figure 2). The second task was undertaken in 1984 and involved detailed surveys and analyses of the same bays, but at a limited number of stations (32 in urban embayments, 16 in baseline bays). The stations to be resampled in 1984 were the ''cleanest'' of the clean and the ''dirtiest'' of the dirty as determined by the 1983 sediment chemical analyses, and within restrictions imposed by sediment type.

  4. Bay Area | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

    Page Edit History 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...

  5. Chesapeake Bay Test Site | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

    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...

  6. Module bay with directed flow

    DOEpatents

    Torczynski, John R.

    2001-02-27

    A module bay requires less cleanroom airflow. A shaped gas inlet passage can allow cleanroom air into the module bay with flow velocity preferentially directed toward contaminant rich portions of a processing module in the module bay. Preferential gas flow direction can more efficiently purge contaminants from appropriate portions of the module bay, allowing a reduced cleanroom air flow rate for contaminant removal. A shelf extending from an air inlet slit in one wall of a module bay can direct air flowing therethrough toward contaminant-rich portions of the module bay, such as a junction between a lid and base of a processing module.

  7. Bay Biodiesel LLC | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

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

  8. Bay Solar Power Design | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

    Solar Power Design Jump to: navigation, search Name: Bay Solar Power Design Place: California Product: US-based PV system installer. References: Bay Solar Power Design1 This...

  9. Field's Point Wastewater Treatment Facility (Narragansett Bay...

    OpenEI (Open Energy Information) [EERE & EIA]

    Field's Point Wastewater Treatment Facility (Narragansett Bay Commission) Jump to: navigation, search Name Field's Point Wastewater Treatment Facility (Narragansett Bay Commission)...

  10. Tuscola Bay Wind | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

    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...

  11. BayWa Group | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

    BayWa Group Jump to: navigation, search Name: BayWa Group Place: Munich, Germany Zip: 81925 Sector: Services, Solar Product: Germany-based company with international operations...

  12. Felton Bay Logistics, LLC | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

    Logistics, LLC1 This article is a stub. You can help OpenEI by expanding it. Felton Bay Logistics, LLC is a company based in San Diego, California. Felton Bay offers training,...

  13. bayesPicture.jpg | OSTI, US Dept of Energy Office of Scientific and

    Office of Scientific and Technical Information (OSTI)

    Technical Information bayesPicture

  14. Energy @ Bay Area Maker Faire

    Energy.gov [DOE]

    Representatives from the Department of Energy’s National Labs, the Office of Energy Efficiency and Renewable Energy (EERE), the Advanced Research Projects Agency (ARPA-E) and the Office of Technology Transitions (OTT) will be on hand at the first-ever Make | ENERGY Pavilion at the Bay Area Maker Faire May 20-22, 2016, at the San Mateo County Event Center.

  15. Bay Area | National Nuclear Security Administration

    National Nuclear Security Administration (NNSA)

    Bay Area San Francisco Bay Area Aerial Radiation Assessment Survey (SAN JOSE and SAN FRANCISCO, California) - A helicopter may be seen flying at low altitudes over portions of the San Francisco Bay Area from January 29 through February 6, 2016. The purpose of the flyovers is to measure naturally occurring background radiation. Officials from the National Nuclear... NNSA to Conduct Aerial Radiological Surveys Over San Francisco, Pacifica, Berkeley, And Oakland, CA Areas A U.S. Department of

  16. Massachusetts Bay Transportation Authority | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

    Authority Name: Massachusetts Bay Transportation Authority Address: 10 Park Plaza, Suite 3910 Boston, MA 02116 Zip: 02116 Website: www.mbta.com Coordinates:...

  17. Bay Front Biomass Facility | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

    NEEDS 2006 Database Retrieved from "http:en.openei.orgwindex.php?titleBayFrontBiomassFacility&oldid397174" Feedback Contact needs updating Image needs updating...

  18. Glacier Bay Inc | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

    search Name: Glacier Bay Inc Place: Oakland, California Zip: 94601 Product: US-based, advanced thermal control, sound reduction, and DC power management technologies...

  19. Hooper Bay Wind Farm | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

    Alaska Village Electric Coop (AVEC) Developer Alaska Village Electric Coop (AVEC) Energy Purchaser Alaska Village Electric Coop (AVEC) Location Hooper Bay AK Coordinates...

  20. EA-389 Greay Bay Energy VI, LLC | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    9 Greay Bay Energy VI, LLC EA-389 Greay Bay Energy VI, LLC Order authorizing Great Bay Energy to export electric energy to Canada. EA-389 Great Bay Energy (CN).pdf (1.08 MB) More Documents & Publications Application to Export Electric Energy OE Docket No. EA-389 Great Bay Energy VI, LLC EA-389-A Great Bay Energy VI, LLC EA-342-A Royal Bank of Canada

  1. Tampa Bay Area Ethanol Consortium | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

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

  2. Bay Resource Management Center Biomass Facility | Open Energy...

    OpenEI (Open Energy Information) [EERE & EIA]

    Resource Management Center Biomass Facility Jump to: navigation, search Name Bay Resource Management Center Biomass Facility Facility Bay Resource Management Center Sector Biomass...

  3. Doe Bay Village Resort Pool & Spa Low Temperature Geothermal...

    OpenEI (Open Energy Information) [EERE & EIA]

    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...

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

    OpenEI (Open Energy Information) [EERE & EIA]

    Pedro Bay Village Council (Utility Company) Jump to: navigation, search Name: Pedro Bay Village Council Place: Alaska Phone Number: (907) 850-2225 Website: www.swamc.orghtml...

  5. Cold Bay Hot Spring Geothermal Area | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

    Cold Bay Hot Spring Geothermal Area Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Cold Bay Hot Spring Geothermal Area Contents 1 Area Overview 2 History and...

  6. Near Fish Bay Geothermal Area | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

    Near Fish Bay Geothermal Area Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Near Fish Bay Geothermal Area Contents 1 Area Overview 2 History and Infrastructure 3...

  7. San Francisco Bay Conservation and Development Commission | Open...

    OpenEI (Open Energy Information) [EERE & EIA]

    Conservation and Development Commission Jump to: navigation, search Logo: San Francisco Bay Conservation and Development Commission Name: San Francisco Bay Conservation and...

  8. San Luis Bay Estates Pool & Spa Low Temperature Geothermal Facility...

    OpenEI (Open Energy Information) [EERE & EIA]

    Estates Pool & Spa Low Temperature Geothermal Facility Jump to: navigation, search Name San Luis Bay Estates Pool & Spa Low Temperature Geothermal Facility Facility San Luis Bay...

  9. Comprehensive characterization report on Winter Quarters Bay, McMurdo Station, Antarctica

    SciTech Connect

    Crockett, A.B.; White, G.J.

    1997-01-01

    Winter Quarters Bay is a small embayment located adjacent to the United States largest base in Antarctica, McMurdo Station. McMurdo Station, which is managed by the National Science Foundation`s Office of Polar Programs, was constructed in 1955, has been in constant use since that time, and has a population of about 1,000 persons during the summer and about 250 people for the winter. The bay offers shelter for ships and an ice dock is used during January and February to off load fuel and cargo. During earlier times, trash from the McMurdo Station was piled on the steep shoreline of the bay, doused with several thousand gallons of fuel and ignited. That practice has ceased and the site has been regraded to cover the waste. The bottom of the bay is littered with drums, equipment, tanks, tires, all sorts of metal objects, cables, etc., especially the southeastern side where dumping took place. The sediments are gravel in some places yet fine and fluid at other sites with coarse particles intermixed. The original benthic community is not well recorded but significant ecological changes have occurred. Sediments are contaminated with PCBs, metals, and hydrocarbon fuels. This report summarizes available information on Winter Quarters Bay and was originally intended to be used by workshop participants to become familiar with the bay prior to becoming updated with unpublished data by various Antarctic investigators. The proposed workshop was to assist the National Science Foundation in determining whether and how the bay should be remediated and to develop an integrated research plan if additional data were needed. However, plans changed, the workshop was never conducted, but the briefing report was prepared. Most of this report reviews and summarizes other published data. The only new data are those from the Idaho National Engineering and Environmental Laboratory`s investigation into the distribution of organic contaminants in the bay and sediment toxicity testing.

  10. New and Underutilized Technology: High Bay LED Lighting

    Energy.gov [DOE]

    The following information outlines key deployment considerations for high bay LED lighting within the Federal sector.

  11. Keweenaw Bay Indian Community- 2010 Project

    Energy.gov [DOE]

    The Keweenaw Bay Indian Community (KBIC) is committed to preserving our natural environment and reducing the amount of fossil fuels consumed while developing "green" business manufacturing jobs on tribal lands.

  12. Keweenaw Bay Indian Community- 2010 Wind Project

    Energy.gov [DOE]

    The Keweenaw Bay Indian Community (KBIC) is committed to preserving our natural environment and reducing the amount of fossil fuels consumed while developing "green" business manufacturing jobs on tribal lands.

  13. SCHEDULE: Bay Area Maker Faire 2016

    Energy.gov [DOE]

    Find out where and when to meet some of our top innovators and explore the technologies on display from the Department of Energy at the 11th annual Bay Area Maker Faire.

  14. Keeping comets and asteroids at bay

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Keeping Comets And Asteroids At Bay Community Connections: Your link to news and opportunities from Los Alamos National Laboratory Latest Issue:November 2, 2016 all issues All Issues » submit Keeping comets and asteroids at bay Every two years, experts from around the globe convene at the Planetary Defense Conference. August 1, 2012 dummy image Read our archives Contacts Editor Linda Anderman Email Community Programs Office Kurt Steinhaus Email Every two years, experts from around the globe

  15. Gradient Analysis and Classification of Carolina Bay Vegetation: A Framework for Bay Wetlands Conservation and Restoration

    SciTech Connect

    Diane De Steven,Ph.D.; Maureen Tone,PhD.

    1997-10-01

    This report address four project objectives: (1) Gradient model of Carolina bay vegetation on the SRS--The authors use ordination analyses to identify environmental and landscape factors that are correlated with vegetation composition. Significant factors can provide a framework for site-based conservation of existing diversity, and they may also be useful site predictors for potential vegetation in bay restorations. (2) Regional analysis of Carolina bay vegetation diversity--They expand the ordination analyses to assess the degree to which SRS bays encompass the range of vegetation diversity found in the regional landscape of South Carolina's western Upper Coastal Plain. Such comparisons can indicate floristic status relative to regional potentials and identify missing species or community elements that might be re-introduced or restored. (3) Classification of vegetation communities in Upper Coastal Plain bays--They use cluster analysis to identify plant community-types at the regional scale, and explore how this classification may be functional with respect to significant environmental and landscape factors. An environmentally-based classification at the whole-bay level can provide a system of templates for managing bays as individual units and for restoring bays to desired plant communities. (4) Qualitative model for bay vegetation dynamics--They analyze present-day vegetation in relation to historic land uses and disturbances. The distinctive history of SRS bays provides the possibility of assessing pathways of post-disturbance succession. They attempt to develop a coarse-scale model of vegetation shifts in response to changing site factors; such qualitative models can provide a basis for suggesting management interventions that may be needed to maintain desired vegetation in protected or restored bays.

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

    SciTech Connect

    Hirose, Paul S.

    1997-01-01

    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.

  17. Bay County, Michigan: Energy Resources | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

    is classified as ASHRAE 169-2006 Climate Zone Number 5 Climate Zone Subtype A. Registered Energy Companies in Bay County, Michigan Dow Chemical Co Dow Kokam Places in Bay County,...

  18. Summary of Test Results for Daya Bay Rock Samples (Technical...

    Office of Scientific and Technical Information (OSTI)

    Summary of Test Results for Daya Bay Rock Samples Citation Details In-Document Search Title: Summary of Test Results for Daya Bay Rock Samples You are accessing a document from ...

  19. Summary of Test Results for Daya Bay Rock Samples (Technical...

    Office of Scientific and Technical Information (OSTI)

    Technical Report: Summary of Test Results for Daya Bay Rock Samples Citation Details In-Document Search Title: Summary of Test Results for Daya Bay Rock Samples A series of ...

  20. Galveston Bay Biodiesel LP GBB | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

    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...

  1. Bristol Bay Native Corporation- 2003 Project

    Energy.gov [DOE]

    Bristol Bay Native Corporation (BBNC), through its subsidiary, Bristol Environmental and Engineering Services Corporation, will assess renewable energy opportunities within the BBNC region of southwest Alaska. The goals of this initiative are to encourage tribal self-sufficiency, create jobs, improve environmental quality, and help make our nation more secure through the development of clean, affordable, and reliable renewable energy technologies. The study will identify technologies or systems that could potentially reduce the cost or improve the sustainability of electricity within the Bristol Bay region.

  2. Carolina bays of the Savannah River Plant

    SciTech Connect

    Schalles, J.F. ); Sharitz, R.R.; Gibbons, J.W.; Leversee, G.J.; Knox, J.N. )

    1989-01-01

    Much of the research to date on the Carolina bays of the Savannah River Plant and elsewhere has focused on certain species or on environmental features. Different levels of detail exist for different groups of organisms and reflect the diverse interests of previous investigators. This report summarizes aspects of research to date and presents data from numerous studies. 70 refs., 14 figs., 12 tabs.

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

    SciTech Connect

    Ledvina, Joseph A.

    2008-05-01

    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.

  4. User's guide for SAMMY: a computer model for multilevel r-matrix fits to neutron data using Bayes' equations

    SciTech Connect

    Larson, N. M.; Perey, F. G.

    1980-11-01

    A method is described for determining the parameters of a model from experimental data based upon the utilization of Bayes' theorem. This method has several advantages over the least-squares method as it is commonly used; one important advantage is that the assumptions under which the parameter values have been determined are more clearly evident than in many results based upon least squares. Bayes' method has been used to develop a computer code which can be utilized to analyze neutron cross-section data by means of the R-matrix theory. The required formulae from the R-matrix theory are presented, and the computer implementation of both Bayes' equations and R-matrix theory is described. Details about the computer code and compelte input/output information are given.

  5. Diagnosing production problems with downhole video surveying at Prudhoe Bay

    SciTech Connect

    Ward, S.L.; Allen, T.T.; Chavers, R.D.; Robertson, T.N. ); Schultz, P.K.

    1994-11-01

    This paper describes a real-time, fiber-optic downhole video (DHV) system and its use as a diagnostic tool in solving production problems in Prudhoe Bay wells. Recent developments in lens preparation technology and advancements in the application of electro-fiber-optic cable have proved the viability of DHV surveying in oilfield applications. This paper presents case histories of the first field applications in which the fiber-optic DHV system was used to perform downhole visual inspections of tubulars and casing. These operations determined fluid entry under flowing conditions, verified tubing and casing integrity, and facilitated wireline fishing operations. The fiber-optic system provided more comprehensible identification capabilities and other operational advantages than obtainable with alternative methods of downhole diagnostic techniques or the DHV coaxial-cable systems. This paper also overviews the enhancements made since the first applications of fiber-optic cable.

  6. Horizontal drilling techniques at Prudhoe Bay, Alaska

    SciTech Connect

    Wilkirson, J.P.; Smith, J.H.; Stagg, T.O.; Walters, D.A.

    1986-01-01

    Three extended departure horizontal wells have been drilled and completed at Prudhoe Bay, Alaska by Standard Alaska Production Company. Horizontal slotted liner completions of 1575 feet (480 m), 1637 feet (499 m), and 1163 feet (354 m) were accomplished at an average vertical depth of 9000 feet (2743 m). Improvements in technology and operating procedures have resulted in a cost per foot reduction of 40% over the three well program. When compared to conventional completions, initial production data indicates rate benefits of 300% and a major increase in ultimate recovery. This paper discusses the development of the techniques used to drill horizontal wells at Prudhoe Bay and reviews the drilling operations for each well.

  7. Covered Product Category: Industrial Luminaires (High/Low Bay) | Department

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    of Energy Industrial Luminaires (High/Low Bay) Covered Product Category: Industrial Luminaires (High/Low Bay) The Federal Energy Management Program (FEMP) provides acquisition guidance and Federal efficiency requirements for Industrial Luminaires (High/Low Bay). Federal laws and requirements mandate that agencies meet these efficiency requirements in all procurement and acquisition actions that are not specifically exempted by law. Meeting Energy Efficiency Requirements for Industrial

  8. Energy Efficiency Feasibility Study and Resulting Plan for the Bay Mills Indian Community

    SciTech Connect

    Kushman, Chris

    2014-02-03

    In 2011 the Inter-Tribal Council of Michigan, Inc. was awarded an Energy Efficiency Development and Deployment in Indian Country grant from the U.S. Department of Energy’s Tribal Energy Program. This grant aimed to study select Bay Mills Indian Community community/government buildings to determine what is required to reduce each building’s energy consumption by 30%. The Bay Mills Indian Community (BMIC) buildings with the largest expected energy use were selected for this study and included the Bay Mills Ellen Marshall Health Center building, Bay Mills Indian Community Administration Building, Bay Mills Community College main campus, Bay Mills Charter School and the Waishkey Community Center buildings. These five sites are the largest energy consuming Community buildings and comprised the study area of this project titled “Energy Efficiency Feasibility Study and Resulting Plan for the Bay Mills Indian Community”. The end objective of this study, plan and the Tribe is to reduce the energy consumption at the Community’s most energy intensive buildings that will, in turn, reduce emissions at the source of energy production, reduce energy expenditures, create long lasting energy conscious practices and positively affect the quality of the natural environment. This project’s feasibility study and resulting plan is intended to act as a guide to the Community’s first step towards planned energy management within its buildings/facilities. It aims to reduce energy consumption by 30% or greater within the subject facilities with an emphasis on energy conservation and efficiency. The energy audits and related power consumption analyses conducted for this study revealed numerous significant energy conservation and efficiency opportunities for all of the subject sites/buildings. In addition, many of the energy conservation measures require no cost and serve to help balance other measures requiring capital investment. Reoccurring deficiencies relating to heating

  9. Bristol Bay Borough, Alaska: Energy Resources | Open Energy Informatio...

    OpenEI (Open Energy Information) [EERE & EIA]

    as an ASHRAE 169-2006 Climate Zone Number 7. Places in Bristol Bay Borough, Alaska King Salmon, Alaska Naknek, Alaska South Naknek, Alaska Retrieved from "http:...

  10. The Daya Bay Reactor Neutrino Experiment Sees Evidence that Electron...

    Office of Science (SC)

    The Daya Bay Reactor Neutrino Experiment Sees Evidence that Electron Neutrinos Turn into Muon Neutrinos Nuclear Physics (NP) NP Home About Research Facilities Science Highlights ...

  11. MHK Projects/Kachemak Bay Tidal Energy Project | Open Energy...

    OpenEI (Open Energy Information) [EERE & EIA]

    Kachemak Bay Tidal Energy Project < MHK Projects Jump to: navigation, search << Return to the MHK database homepage Loading map... "minzoom":false,"mappingservice":"googlemaps3","...

  12. McKay Bay Facility Biomass Facility | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

    Biomass Facility Facility McKay Bay Facility Sector Biomass Facility Type Municipal Solid Waste Location Hillsborough County, Florida Coordinates 27.9903597, -82.3017728...

  13. Ecological Forecasting in Chesapeake Bay: Using a Mechanistic...

    Office of Scientific and Technical Information (OSTI)

    oxygen, and the likelihood of encountering several noxious species, including harmful algal blooms and water-borne pathogens, for the purpose of monitoring the Bay's ecosystem. ...

  14. Kawela Bay, Hawaii: Energy Resources | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

    Kawela Bay, Hawaii: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 21.7033333, -158.01 Show Map Loading map... "minzoom":false,"mappingservice...

  15. Promising Technology: High Bay Light-Emitting Diodes

    Energy.gov [DOE]

    High bay LEDs offer several advantages over conventional high intensity discharge (HID) luminaires including longer lifetimes, reduced maintenance costs, and lower energy consumption.

  16. EIS-0494: Excelerate Liquefaction Solutions Lavaca Bay LNG Project...

    Energy.gov [DOE] (indexed site)

    gas from existing pipeline systems to the LNG terminal facilities. EIS-0494: Excelerate Liquefaction Solutions Lavaca Bay LNG Project Public Comment Opportunities No public ...

  17. Zero Emission Cargo Transport II: San Pedro Bay Ports Hybrid...

    Energy Saver

    Zero Emission Cargo Transport II San Pedro Bay Ports Hybrid & Fuel Cell Electric Vehicle Project Principle Investigator: Joseph Impullitti South Coast Air Quality Management ...

  18. Bay Harbor Islands, Florida: Energy Resources | Open Energy Informatio...

    OpenEI (Open Energy Information) [EERE & EIA]

    Bay Harbor Islands is a town in Miami-Dade County, Florida. It falls under Florida's 20th congressional district.12 References US Census Bureau Incorporated place and...

  19. 9 Cool Technologies at the Bay Area Maker Faire

    Energy.gov [DOE]

    Get a glimpse of some of the technologies from our National Labs in the Make | ENERGY Pavilion at the Bay Area Maker Faire. You can look AND touch.

  20. Keweenaw Bay Indian Community: 'First Steps' Toward Tribal Weatherizat...

    Energy.gov [DOE] (indexed site)

    Keweenaw Bay Indian Community 'First Steps' Toward Tribal Weatherization Human Capacity Building Denver, CO - October 29 th , 2010 Debra L. Picciano . CAP Administrator Federally ...

  1. Targeting Net Zero Energy at Marine Corps Base Kaneohe Bay, Hawaii...

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

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

  2. Neutron calibration sources in the Daya Bay experiment

    DOE PAGES [OSTI]

    Liu, J.; Carr, R.; Dwyer, D. A.; Gu, W. Q.; Li, G. S.; McKeown, R. D.; Qian, X.; Tsang, R. H. M.; Wu, F. F.; Zhang, C.

    2015-07-09

    We describe the design and construction of the low rate neutron calibration sources used in the Daya Bay Reactor Anti-neutrino Experiment. Such sources are free of correlated gamma-neutron emission, which is essential in minimizing induced background in the anti-neutrino detector. Thus, the design characteristics have been validated in the Daya Bay anti-neutrino detector.

  3. Regulatory effectiveness study for the Christmas Bay Coastal Preserve

    SciTech Connect

    Mitchell, G.; Windsor, D.

    1991-12-01

    The report contains a description and evaluation of essential regulatory activities governing Armand Bayou and its watershed. The report will be used in management planning for the preserve, and will also contribute to the baseline regulatory data for developing the Galveston Bay Comprehensive Conservation and Management Plan. A companion report was prepared for the Christmas Bay Coastal Preserve.

  4. Low-bay Lighting Energy Conservation Measures

    Energy Science and Technology Software Center

    2010-12-31

    This software requires inputs of simple low-bay lighting system inventory information and calculates the energy and cost benefits of various retrofit opportunities. This tool includes energy conservation measures for: Low-wattage T8 lighting retrofit, T12 to T8 lighting retrofit, LED Exit signs retrofit, Occupancy sensors, Screw-in lighting retrofit, and central lighting controls. This tool calculates energy savings, demand reduction, cooling load reduction, heating load increases, cost savings, building life cycle costs including: Simple payback, discounted payback,more » net-present value, and savings to investment ratio. In addition this tool also displays the environmental benefits of a project.« less

  5. San Francisco BayREN: Integrated Commercial Retrofits

    Energy.gov [DOE]

    Lead Performer: Association of Bay Area Governments – Oakland, CA Partners: -- Bay Area Regional Energy Network – San Francisco, CA -- Business Council on Climate Change – San Francisco. CA -- City of Berkeley – Berkeley, CA -- City of Oakland – Oakland, CA -- City and County of San Francisco – San Francisco, CA -- East Bay Energy Watch – San Francisco, CA -- Emerald Cities – Washington, DC -- Joule Assets Inc. – Bedford Hills, NY -- Lawrence Berkeley National Laboratory (LBNL) – Berkeley, CA -- National Resource Ecology Laboratory (NREL) – Golden, CO -- Open Energy Efficiency – Sausalito, CA -- Prospect Silicon Valley – San Jose, CA -- Renew Financial – Oakland, CA -- San Francisco Energy Watch – San Francisco, CA

  6. Muon Simulation at the Daya Bay SIte

    SciTech Connect

    Mengyun, Guan; Jun, Cao; Changgen, Yang; Yaxuan, Sun; Luk, Kam-Biu

    2006-05-23

    With a pretty good-resolution mountain profile, we simulated the underground muon background at the Daya Bay site. To get the sea-level muon flux parameterization, a modification to the standard Gaisser's formula was introduced according to the world muon data. MUSIC code was used to transport muon through the mountain rock. To deploy the simulation, first we generate a statistic sample of sea-level muon events according to the sea-level muon flux distribution formula; then calculate the slant depth of muon passing through the mountain using an interpolation method based on the digitized data of the mountain; finally transport muons through rock to get underground muon sample, from which we can get results of muon flux, mean energy, energy distribution and angular distribution.

  7. Bay integrated power system control and diagnostics

    SciTech Connect

    Beierl, O.

    1996-03-01

    The paper presents new concepts for control and diagnostic systems for high voltage switchgear (123-kV and above). Air insulated and gas insulated (SF6) switchgear is considered. The new aspect is the integration of monitoring and diagnostic concepts in digital control and protection systems. Communication concepts for sensors and actuators with digital process busses at bay level are discussed. The paper covers integration concepts for circuit breaker monitoring (AIS, GIS) and for GIS the integration of on-line partial discharge measurement, on-line arc detection and on-line monitoring of the gas conditions. Finally, the advantages, disadvantages and the applicability of integrated diagnostic and control concepts are discussed by means of technical and commercial aspects.

  8. High-bay Lighting Energy Conservation Measures

    Energy Science and Technology Software Center

    2010-12-31

    This software requires inputs of simple high-bay lighting system inventory information and calculates the energy and cost benefits of various retrofit opportunities. This tool includes energy conservation measures for: 1000 Watt to 750 Watt High-pressure Sodium lighting retrofit, 400 Watt to 360 Watt High Pressure Sodium lighting retrofit, High Intensity Discharge to T5 lighting retrofit, High Intensity Discharge to T8 lighting retrofit, and Daylighting. This tool calculates energy savings, demand reduction, cost savings, building lifemore » cycle costs including: simple payback, discounted payback, net-present value, and savings to investment ratio. In addition this tool also displays the environmental benefits of a project.« less

  9. BayWa Sunways JV | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

    JV that specialises in developing, planning and realizing medium-sized to large photovoltaic systems and solar plants. References: BayWa & Sunways JV1 This article is a stub....

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

    OpenEI (Open Energy Information) [EERE & EIA]

    City of Larsen Bay Place: Alaska Phone Number: (907)847-2211 Website: www.swamc.orghtmlsouthwest-a Outage Hotline: (907)847-2211 References: EIA Form EIA-861 Final Data File...

  11. Huntington Bay, New York: Energy Resources | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

    Hide Map This article is a stub. You can help OpenEI by expanding it. Huntington Bay is a village in Suffolk County, New York. It falls under New York's 2nd...

  12. Searching for θ13 at Daya Bay

    SciTech Connect

    Giedt, Joel; Napolitano, James

    2015-06-08

    An experiment has been carried out by the Daya Bay Collaboration to measure the neutrino mixing angle θ13. In addition, the grant has supported research into lattice field theory beyond the standard model.

  13. Cross-media approach to saving the Chesapeake Bay

    SciTech Connect

    Appleton, E.L.

    1995-12-01

    A project EPA began in August will investigate the possibility of cross-media emissions trading as a new approach to reducing nitrogen loadings to the Chesapeake Bay. Working with the Environmental Defense Fund (EDF), the Agency hopes to device a NO{sub x} trading framework along the lines of existing sulfur dioxide trading plans to control acid rain. The Chesapeake Air Project will examine the feasibility of using emissions trading between and water sources, including trading credits between power plants and mobile sources, to reduce the atmospheric deposition of nitrogen to the bay. The progress of the Bay Program nutrient reduction goals is up for reevaluation in 1997, and Knopes and EDF economist Brian Morton have high hopes that the trading plan, which would place a cap on the mass of emissions and rate of deposition allowed by all sources, will become the atmospheric deposition portion of the Chesapeake Bay Program`s Nutrient Reduction Strategy. 6 refs.

  14. Nassau Bay, Texas: Energy Resources | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

    This article is a stub. You can help OpenEI by expanding it. Nassau Bay is a city in Harris County, Texas. It falls under Texas's 22nd congressional district.12 References...

  15. Covered Product Category: Industrial Luminaires (High/Low Bay...

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    2' x 4' 85 1' x 8' 88 High Bay, Non-Linear, Metal Halide Distribution Pattern Input ... ballasts, which should be considered in the comparison of the two system types. ...

  16. Project Reports for Keweenaw Bay Indian Community- 2010 Project

    Energy.gov [DOE]

    The Keweenaw Bay Indian Community (KBIC) is committed to preserving our natural environment and reducing the amount of fossil fuels consumed while developing "green" business manufacturing jobs on tribal lands.

  17. Project Reports for Keweenaw Bay Indian Community- 2010 Project

    Energy.gov [DOE]

    The goal of the project is to build the staff capacity to enable the Keweenaw Bay Indian Community (KBIC) to establish a tribal weatherization program that promotes energy sufficiency throughout the tribal community.

  18. Keweenaw Bay Indian Community- 2010 Energy Efficiency Project

    Energy.gov [DOE]

    The goal of the project is to build the staff capacity to enable the Keweenaw Bay Indian Community (KBIC) to establish a tribal weatherization program that promotes energy sufficiency throughout the tribal community.

  19. LISBURNE LISBURNE KUPARUK RIVER PRUDHOE BAY MILNE POINT ALPINE

    Gasoline and Diesel Fuel Update

    BOE Reserve Class Prudhoe Bay Area Barrow Area Index Map Northern Alaska Oil and Gas Fields 2004 Onshore Area BOE Reserve Class No 2004 Reserves 0.1 - 10 MBOE 10.1 - 100 MBOE 100.1...

  20. LISBURNE LISBURNE KUPARUK RIVER PRUDHOE BAY MILNE POINT ALPINE

    Energy Information Administration (EIA) (indexed site)

    Gas Reserve Class Prudhoe Bay Area Barrow Area Index Map Northern Alaska Oil and Gas Fields 2004 Onshore Area Gas Reserve Class No 2004 Gas Reserves 0.1 - 10 MMCF 10.1 - 100 MMCF...

  1. LISBURNE LISBURNE KUPARUK RIVER PRUDHOE BAY MILNE POINT ALPINE

    Gasoline and Diesel Fuel Update

    Liquids Reserve Class Prudhoe Bay Area Barrow Area Index Map Northern Alaska Oil and Gas Fields 2004 Onshore Area Liquids Reserve Class No 2004 Liquids Reserves 0.1 - 10 Mbbl 10.1...

  2. West Bay Shore, New York: Energy Resources | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

    Hide Map This article is a stub. You can help OpenEI by expanding it. West Bay Shore is a census-designated place in Suffolk County, New York.1 References ...

  3. The ecology of Tampa Bay, Florida: An estuarine profile

    SciTech Connect

    Lewis, R.R. III; Estevez, E.D.

    1988-09-01

    Tampa Bay is Florida's largest open-water estuary and one of the most highly urbanized. This report summarizes and synthesizes many years of scientific investigation into Tampa Bay's geology, hydrology and hydrography, water chemistry, and biotic components. The estuary is a phytoplankton-based system, with mangroves being the second most important primary producer. Benthic organisms are abundant and diverse, although in parts of the bay the benthos consists of a relatively few opportunistic and pollution indicator species. The estuary provides habitat for the juveniles and adults of a number of commercial and recreational fishery species. Significant changes occurring as a result of urbanization and industrialization include significant declines in intertidal wetlands and seagrass meadows, changes in circulation and flushing, and degradation of water quality. Important management issues include dredge and fill operations, restoration of fisheries, increasing freshwater flow to the bay, and eutrophication. 257 refs., 85 figs., 27 tabs.

  4. North Bay Village, Florida: Energy Resources | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

    it. North Bay Village is a city in Miami-Dade County, Florida. It falls under Florida's 20th congressional district.12 References US Census Bureau Incorporated place and...

  5. Morro Bay, California: Energy Resources | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

    Map This article is a stub. You can help OpenEI by expanding it. Morro Bay is a city in San Luis Obispo County, California. It falls under California's 23rd congressional...

  6. San Francisco Bay Area Aerial Radiation Assessment Survey | National

    National Nuclear Security Administration (NNSA)

    Nuclear Security Administration | (NNSA) San Francisco Bay Area Aerial Radiation Assessment Survey January 27, 2016 (SAN JOSE and SAN FRANCISCO, California) - A helicopter may be seen flying at low altitudes over portions of the San Francisco Bay Area from January 29 through February 6, 2016. The purpose of the flyovers is to measure naturally occurring background radiation. Officials from the National Nuclear Security Administration (NNSA) announced that the radiation assessment will cover

  7. Ecological evaluation of proposed dredged material from Winyah Bay, South Carolina

    SciTech Connect

    Ward, J.A.; Gardiner, W.W.; Pinza, M.R.; Word, J.Q.

    1993-10-01

    The navigational channels of Winyah Bay, Georgetown Harbor, South Carolina require dredging to enable normal shipping traffic to use these areas. Before dredging, environmental assessments must be conducted to determine the suitability of this dredged sediment for unconfined, open-water disposal. The Charleston, South Carolina District Office of the US Army Corps of Engineers (USACE) requested that the Battelle/Marine Science Laboratory (MSL) collect sediment samples and conduct the required physical/chemical, toxicological, and bioaccumulation evaluations as required in the 1991 Implementation Manual. This report is intended to provide information required to address potential ecological effects of the Entrance Channel and Inner Harbor sediments proposed disposal in the ocean.

  8. Application to Export Electric Energy OE Docket No. EA-389 Great Bay Energy

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    VI, LLC | Department of Energy 89 Great Bay Energy VI, LLC Application to Export Electric Energy OE Docket No. EA-389 Great Bay Energy VI, LLC Application from Great Bay Energy to export electric energy to Canada. EA-389 Great Bay Energy VI, (CN).pdf (579.86 KB) More Documents & Publications EA-389 Greay Bay Energy VI, LLC EA-389-A Great Bay Energy VI, LLC Application to Export Electric Energy OE Docket No. EA-327-A DC Energy,

  9. Radiological survey of San Diego Bay

    SciTech Connect

    Semler, M.O.; Blanchard, R.L.

    1989-06-01

    A radiological survey of three sites in San Diego Bay provided the basis for the following conclusions: 1. Small quantities of Co-60 (0.02-0.05 pCi/g) are present in the bottom sediments in some areas of the harbor at the Submarine Base. Most, if not all, of the Co-60 contamination present probably originated prior to the earlier 1967 survey that reported Co-60 levels as much as 300 times larger than those observed in this study. The highest Co-60 concentration measured is now less than one percent of the normal background radioactivity in harbor sediment samples. 2. No tritium or gamma-ray emitters, other than trace amounts of those occurring naturally, were detected in surface water from the dock areas or in nearby drinking water supplies. 3. Only radionuclides of natural origin and trace amounts of Cs-137 from fallout of previous nuclear weapons tests were detected in samples of kelp, algae, and fish taken from the harbor at the Submarine Base. 4. Gamma-ray surveys of the harbors near the docking areas and along shorelines and beaches near the shipyards failed to detect any exposure rates above background. 3 refs., 4 figs., 3 tabs.

  10. Cathodic Protection of the Yaquina Bay Bridge

    SciTech Connect

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

    2001-02-01

    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.

  11. Replacement of tritiated water from irradiated fuel storage bay

    SciTech Connect

    Castillo, I.; Boniface, H.; Suppiah, S.; Kennedy, B.; Minichilli, A.; Mitchell, T.

    2015-03-15

    Recently, AECL developed a novel method to reduce tritium emissions (to groundwater) and personnel doses at the NRU (National Research Universal) reactor irradiated fuel storage bay (also known as rod or spent fuel bay) through a water swap process. The light water in the fuel bay had built up tritium that had been transferred from the heavy water moderator through normal fuel transfers. The major advantage of the thermal stratification method was that a very effective tritium reduction could be achieved by swapping a minimal volume of bay water and warm tritiated water would be skimmed off the bay surface. A demonstration of the method was done that involved Computational Fluid Dynamics (CFD) modeling of the swap process and a test program that showed excellent agreement with model prediction for the effective removal of almost all the tritium with a minimal water volume. Building on the successful demonstration, AECL fabricated, installed, commissioned and operated a full-scale system to perform a water swap. This full-scale water swap operation achieved a tritium removal efficiency of about 96%.

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

    Office of Legacy Management (LM)

    Davison Chemical Division Curtis Bay Plant MD.01-2 MD.01-3 Location: Curtis Bay, Baltimore, Maryland MD.01-2 Historical Operations: Conducted developmental research and thorium ...

  13. EA-389-A Great Bay Energy VI, LLC | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Rescission of export authorization to export electric energy to Canada. EA-389-A Great Bay ... Energy OE Docket No. EA-389 Great Bay Energy VI, LLC EA-342-A Royal Bank of Canada

  14. Load test of the 272W Building high bay roof deck and support structure

    SciTech Connect

    McCoy, R.M.

    1994-09-28

    This reports the results of the Load Test of the 272W Building High Bay Roof Deck and Support Structure.

  15. U.S. Naval Station, Guantanamo Bay, Cuba | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Naval Station, Guantanamo Bay, Cuba U.S. Naval Station, Guantanamo Bay, Cuba Fact sheet describes the Energy Savings Performance Contract (ESPC) success story on environmental stewardship and cost savings at the U.S. Naval Station at Guantanamo Bay, Cuba. Download the U.S. Naval Station at Guantanamo Bay, Cuba fact sheet. (316.37 KB) More Documents & Publications Idaho Operations AMWTP Fact Sheet Heating Ventilation and Air Conditioning Efficiency Greenpower Trap Mufflerl System

  16. Tampa Bay Designated as the Newest Clean Cities Coalition | Department of

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Energy Tampa Bay Designated as the Newest Clean Cities Coalition Tampa Bay Designated as the Newest Clean Cities Coalition November 21, 2014 - 1:36pm Addthis Dr. Judy Genshaft, the University of South Florida's president, welcomes attendees to the Tampa Bay Clean Cities Ceremony. | Photo courtesy of the Clean Cities Coalition. Dr. Judy Genshaft, the University of South Florida's president, welcomes attendees to the Tampa Bay Clean Cities Ceremony. | Photo courtesy of the Clean Cities

  17. Bay State announces growth strategies to cope with changes

    SciTech Connect

    1996-07-01

    A top executive for New England`s biggest independent gas distributor says deregulation of the utility industry offers unprecedented opportunities for growth, but getting there will radically change the way it does business. To achieve dramatic growth, Bay State Gas Co. needs to base their strategies on anticipating the changes in the industry and aggressively positioning themselves to capture the new opportunities that the new business environment is creating. This includes: accelerating the unbundling of transportation service all the way to the residential customer level; forging strategic relationships with retail energy product and service companies as a means of increasing throughput on Bay State`s system; implementing performance-based rates that provide financial incentives for lowering costs and improving customer service; accelerating the implementation of sophisticated information systems to streamline key business processes; and aggressively expanding Bay State`s nonregulated Energy Products and Services business. These steps are discussed.

  18. Project Reports for Bristol Bay Native Corporation- 2003 Project

    Energy.gov [DOE]

    Bristol Bay Native Corporation (BBNC), through its subsidiary, Bristol Environmental and Engineering Services Corporation, will assess renewable energy opportunities within the BBNC region of southwest Alaska. The goals of this initiative are to encourage tribal self-sufficiency, create jobs, improve environmental quality, and help make our nation more secure through the development of clean, affordable, and reliable renewable energy technologies. The study will identify technologies or systems that could potentially reduce the cost or improve the sustainability of electricity within the Bristol Bay region.

  19. OSTIblog Articles in the Thomas Bayes Topic | OSTI, US Dept of Energy

    Office of Scientific and Technical Information (OSTI)

    Office of Scientific and Technical Information Bayes Topic The Reverend Thomas Bayes by Kathy Chambers 06 Nov, 2013 in Products and Content 13432 bayesPicture.jpg The Reverend Thomas Bayes Read more about 13432 During the 1700's, the Reverend Thomas Bayes was a nonconformist minister at the Mount Sion Chapel in Tunbridge Wells, UK, about 40 miles southeast of central London. Having studied both theology and logic at the University of Edinburgh, he was also a mathematician and developed a

  20. LISBURNE LISBURNE KUPARUK RIVER PRUDHOE BAY MILNE POINT ALPINE

    Energy Information Administration (EIA) (indexed site)

    BOE Reserve Class Prudhoe Bay Area Barrow Area Index Map Northern Alaska Oil and Gas Fields 2004 Onshore Area BOE Reserve Class No 2004 Reserves 0.1 - 10 MBOE 10.1 - 100 MBOE 100.1 - 1,000 MBOE 1,000.1 - 10,000 MBOE 10,000.1 - 100,000 MBOE > 100,000 MBOE

  1. LISBURNE LISBURNE KUPARUK RIVER PRUDHOE BAY MILNE POINT ALPINE

    Energy Information Administration (EIA) (indexed site)

    Gas Reserve Class Prudhoe Bay Area Barrow Area Index Map Northern Alaska Oil and Gas Fields 2004 Onshore Area Gas Reserve Class No 2004 Gas Reserves 0.1 - 10 MMCF 10.1 - 100 MMCF 100.1 - 1,000 MMCF 1,000 - 10,000 MMCF 10,000 - 100,000 MMCF > 100,000 MMCF

  2. LISBURNE LISBURNE KUPARUK RIVER PRUDHOE BAY MILNE POINT ALPINE

    Energy Information Administration (EIA) (indexed site)

    Liquids Reserve Class Prudhoe Bay Area Barrow Area Index Map Northern Alaska Oil and Gas Fields 2004 Onshore Area Liquids Reserve Class No 2004 Liquids Reserves 0.1 - 10 Mbbl 10.1 - 100 Mbbl 100.1 - 1,000 Mbbl 1,000.1 - 10,000 Mbbl > 10,000 Mbbl

  3. Covered Product Category: Industrial Luminaires (High/Low Bay)

    Energy.gov [DOE]

    The Federal Energy Management Program (FEMP) provides acquisition guidance and Federal efficiency requirements for Industrial Luminaires (High/Low Bay). Federal laws and requirements mandate that agencies meet these efficiency requirements in all procurement and acquisition actions that are not specifically exempted by law.

  4. Risk assessment for produced water discharges to Louisiana Open Bays

    SciTech Connect

    Meinhold, A.F.; DePhillips, M.P.; Holtzman, S.

    1995-06-23

    Data were collected prior to termination of discharge at three sites (including two open bay sites at Delacroix Island and Bay De Chene) for the risk assessments. The Delacroix Island Oil and Gas Field has been in production since the first well drilling in 1940; the Bay De Chene Field, since 1942. Concentrations of 226Ra, 228Ra, 210Po, and 228Th were measured in discharges. Radium conc. were measured in fish and shellfish tissues. Sediment PAH and metal conc. were also available. Benthos sampling was conducted. A survey of fishermen was conducted. The tiered risk assessment showed that human health risks from radium in produced water appear to be small; ecological risk from radium and other radionuclides in produced water also appear small. Many of the chemical contaminants discharged to open Louisiana bays appear to present little human health or ecological risk. A conservative screening analysis suggested potential risks to human health from Hg and Pb and a potential risk to ecological receptors from total effluent, Sb, Cd, Cu, Pb, Ni, Ag, Zn, and phenol in the water column and PAHs in sediment; quantitiative risk assessments are being done for these contaminants.

  5. EA-1995: Trestle Bay Ecosystem Restoration Project, Clatsop County, Oregon

    Energy.gov [DOE]

    The U.S. Army Corps of Engineers prepared, with DOE’s Bonneville Power Administration (BPA) as a cooperating agency, an EA that evaluates the potential environmental impacts of a proposal to improve estuary habitat in Trestle Bay. BPA’s proposed action is to partially fund the proposal.

  6. Independent measurement of the neutrino mixing angle ?13 via neutron capture on hydrogen at Daya Bay

    SciTech Connect

    Jaffe, D. E.

    2014-10-03

    A new measurement of the ?13 mixing angle has been obtained at the Daya Bay Reactor Neutrino Experiment via the detection of inverse beta decays tagged by neutron capture on hydrogen. The antineutrino events for hydrogen capture are distinct from those for gadolinium capture with largely different systematic uncertainties, allowing a determination independent of the gadolinium-capture result and an improvement on the precision of the ?13 measurement. With a 217-day antineutrino data set obtained with six antineutrino detectors and from six 2.9 GWth reactors, the rate deficit observed at the far hall is interpreted as sin22?13=0.0830.018 in the three-flavor oscillation model. When combined with the gadolinium-capture result from Daya Bay, we obtain sin22?13=0.0890.008 as the final result for the six-antineutrino-detector configuration of the Daya Bay experiment.

  7. Independent measurement of the neutrino mixing angle θ13 via neutron capture on hydrogen at Daya Bay

    DOE PAGES [OSTI]

    Jaffe, D. E.

    2014-10-03

    A new measurement of the θ13 mixing angle has been obtained at the Daya Bay Reactor Neutrino Experiment via the detection of inverse beta decays tagged by neutron capture on hydrogen. The antineutrino events for hydrogen capture are distinct from those for gadolinium capture with largely different systematic uncertainties, allowing a determination independent of the gadolinium-capture result and an improvement on the precision of the θ13 measurement. With a 217-day antineutrino data set obtained with six antineutrino detectors and from six 2.9 GWth reactors, the rate deficit observed at the far hall is interpreted as sin22θ13=0.083±0.018 in the three-flavor oscillationmore » model. When combined with the gadolinium-capture result from Daya Bay, we obtain sin22θ13=0.089±0.008 as the final result for the six-antineutrino-detector configuration of the Daya Bay experiment.« less

  8. SODAR DATA FROM OYSTER BAY AT WINYAH BAY NATIONAL ESTUARINE RESEARCH RESERVE

    SciTech Connect

    Nichols, R.; Kohn, J.; Rigas, N.; Boessneck, E.; Kress, E.; Gayes, P.

    2013-04-29

    The SecondWind Triton® is a SODAR (SOnic Detection And Ranging) sonic wind profiler (Triton® sodar) system capable of profiling the wind characteristics up to 200m above the instrument. SODAR systems transmit acoustic chirps into the atmosphere and measure the backscattered signal returned to the device. The primary source of acoustic scattering is variations in air temperature, which cause changes in the refractive index of sound. By measuring the Doppler-shifted frequency of these returned signals, the Triton® can calculate the wind’s speed and direction for the volume of air above the instrument, measured at ten fixed heights, known as station heights. The Triton® is specifically designed for the purpose of wind energy resource assessment as it can remotely capture wind data at heights above ground where wind turbine rotors operate. The measurements made include horizontal wind speed and direction, vertical wind speed, and turbulence. Other integrated sensors provide time and location via GPS, barometric pressure, humidity, and the tilt of the instrument. The study area is located east of Georgetown, South Carolina in North Inlet - Winyah Bay National Estuarine Research Reserve. The monitoring period for data in this report begins 5/14/2009 9:30:00 AM EST and ends 8/2/2010 11:40:00 AM EST.

  9. Metals in tissues of migrant semipalmated sandpipers (Calidris pusilla) from Delaware Bay, New Jersey

    SciTech Connect

    Burger, Joanna; Gochfeld, Michael; Niles, Lawrence; Dey, Amanda; Jeitner, Christian; Pittfield, Taryn; Tsipoura, Nellie

    2014-08-15

    There is an abundance of field data on levels of metals for feathers in a variety of birds, but relatively few data for tissues, especially for migrant species from one location. In this paper we examine the levels of arsenic, cadmium, chromium, lead, manganese, mercury and selenium in muscle, liver, brain, fat and breast feathers from migrant semipalmated sandpipers (Calidris pusilla) collected from Delaware Bay, New Jersey. Our primary objectives were to (1) examine variation as a function of tissue, (2) determine the relationship of metal levels among tissues, and (3) determine the selenium:mercury molar ratio in different tissues since selenium is thought to protect against mercury toxicity. We were also interested in whether the large physiological changes that occur while shorebirds are on Delaware Bay (e.g. large weight gains in 2–3 weeks) affected metal levels, especially in the brain. There were significant differences among tissues for all metals. The brain had the lowest levels of arsenic and cadmium, and was tied for the lowest levels of all other metals except lead and selenium. Correlations among metals in tissues were varied, with mercury levels being positively correlated for muscle and brain, and for liver and breast feathers. Weights vary among individuals at the Delaware Bay stopover, as they arrive light, and gain weight prior to migration north. Bird weight and levels of arsenic, cadmium, and selenium in the brain were negatively correlated, while they were positively correlated for lead. There was no positive correlation for mercury in the brain as a function of body weight. The selenium:mercury molar ratio varied significantly among tissues, with brain (ratio of 141) and fat having the highest ratios, and liver and breast feathers having the lowest. In all cases, the ratio was above 21, suggesting the potential for amelioration of mercury toxicity. - Highlights: • Metal levels were examined for migrant semipalmated sandpipers. • There

  10. The detector system of the Daya Bay reactor neutrino experiment

    DOE PAGES [OSTI]

    An, F. P.

    2015-12-15

    The Daya Bay experiment was the first to report simultaneous measurements of reactor antineutrinos at multiple baselines leading to the discovery of ν¯e oscillations over km-baselines. Subsequent data has provided the world's most precise measurement of sin 22θ13 and the effective mass splitting Δm2ee. The experiment is located in Daya Bay, China where the cluster of six nuclear reactors is among the world's most prolific sources of electron antineutrinos. Multiple antineutrino detectors are deployed in three underground water pools at different distances from the reactor cores to search for deviations in the antineutrino rate and energy spectrum due to neutrinomore » mixing. Instrumented with photomultiplier tubes, the water pools serve as shielding against natural radioactivity from the surrounding rock and provide efficient muon tagging. Arrays of resistive plate chambers over the top of each pool provide additional muon detection. The antineutrino detectors were specifically designed for measurements of the antineutrino flux with minimal systematic uncertainty. Relative detector efficiencies between the near and far detectors are known to better than 0.2%. With the unblinding of the final two detectors’ baselines and target masses, a complete description and comparison of the eight antineutrino detectors can now be presented. This study describes the Daya Bay detector systems, consisting of eight antineutrino detectors in three instrumented water pools in three underground halls, and their operation through the first year of eight detector data-taking.« less

  11. The detector system of the Daya Bay reactor neutrino experiment

    SciTech Connect

    An, F. P.

    2015-12-15

    The Daya Bay experiment was the first to report simultaneous measurements of reactor antineutrinos at multiple baselines leading to the discovery of ν¯e oscillations over km-baselines. Subsequent data has provided the world's most precise measurement of sin 213 and the effective mass splitting Δm2ee. The experiment is located in Daya Bay, China where the cluster of six nuclear reactors is among the world's most prolific sources of electron antineutrinos. Multiple antineutrino detectors are deployed in three underground water pools at different distances from the reactor cores to search for deviations in the antineutrino rate and energy spectrum due to neutrino mixing. Instrumented with photomultiplier tubes, the water pools serve as shielding against natural radioactivity from the surrounding rock and provide efficient muon tagging. Arrays of resistive plate chambers over the top of each pool provide additional muon detection. The antineutrino detectors were specifically designed for measurements of the antineutrino flux with minimal systematic uncertainty. Relative detector efficiencies between the near and far detectors are known to better than 0.2%. With the unblinding of the final two detectors’ baselines and target masses, a complete description and comparison of the eight antineutrino detectors can now be presented. This study describes the Daya Bay detector systems, consisting of eight antineutrino detectors in three instrumented water pools in three underground halls, and their operation through the first year of eight detector data-taking.

  12. Microbial diversity in restored wetlands of San Francisco Bay

    SciTech Connect

    Theroux, Susanna; Hartman, Wyatt; He, Shaomei; Tringe, Susannah

    2013-12-09

    Wetland ecosystems may serve as either a source or a sink for atmospheric carbon and greenhouse gases. This delicate carbon balance is influenced by the activity of belowground microbial communities that return carbon dioxide and methane to the atmosphere. Wetland restoration efforts in the San Francisco Bay-Delta region may help to reverse land subsidence and possibly increase carbon storage in soils. However, the effects of wetland restoration on microbial communities, which mediate soil metabolic activity and carbon cycling, are poorly studied. In an effort to better understand the underlying factors which shape the balance of carbon flux in wetland soils, we targeted the microbial communities in a suite of restored and historic wetlands in the San Francisco Bay-Delta region. Using DNA and RNA sequencing, coupled with greenhouse gas monitoring, we profiled the diversity and metabolic potential of the wetland soil microbial communities along biogeochemical and wetland age gradients. Our results show relationships among geochemical gradients, availability of electron acceptors, and microbial community composition. Our study provides the first genomic glimpse into microbial populations in natural and restored wetlands of the San Francisco Bay-Delta region and provides a valuable benchmark for future studies.

  13. Wind and Hydroelectric Feasibility Study - Bristol Bay Native Corporation Anchorage, Alaska

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Bristol Bristol Bay Bay Native Native Corporation Corporation Wind and Wind and Hydroelectric Hydroelectric Feasibility Feasibility Study Study Tiel Smith Tiel Smith - - BBNC BBNC Doug Vaught, PE Doug Vaught, PE - - Consultant Consultant A Landscape of Promise Bristol Bay Native Corporation Invested in the Region * Southwest Alaska - 29 communities - 7,800 residents - 10,000 brown bears - 55,000,000 salmon * 40,000 square miles- about size of Ohio * 68% Native - Yup'ik Eskimo - Athabascan -

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

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

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

  15. Computing Sciences Staff Help East Bay High Schoolers Upgrade their Summer

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Computing Sciences Staff Help East Bay High Schoolers Upgrade their Summer Computing Sciences Staff Help East Bay High Schoolers Upgrade their Summer August 6, 2015 Jon Bashor, jbashor@lbl.gov, +1 510 486 5849 To help prepare students from underrepresented groups learn about careers in a variety of IT fields, the Laney College Computer Information Systems Department offered its Upgrade: Computer Science Program. Thirty-eight students from 10 East Bay high schools registered for the eight-week

  16. MHK Projects/San Francisco Bay Tidal Energy Project | Open Energy...

    OpenEI (Open Energy Information) [EERE & EIA]

    Francisco Bay Tidal Energy Project < MHK Projects Jump to: navigation, search << Return to the MHK database homepage Loading map... "minzoom":false,"mappingservice":"googlemaps3",...

  17. Bay-Area National Labs Team to Tackle Long-Standing Automotive...

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Bay-Area National Labs Team to Tackle Long-Standing Automotive Hydrogen-Storage Challenge ... Energy Storage Components and Systems Batteries Electric Drive Systems Hydrogen Materials ...

  18. Design of a basinwide monitoring program for the Tampa Bay estuary. Final technical pub

    SciTech Connect

    Hochberg, R.J.; Weisberg, S.B.; Frithsen, J.B.

    1992-10-30

    The Tampa Bay National Estuary Program (TBNEP) is developing a Comprehensive Conservation and Management Plan (CCMP) to recommend management actions for protecting the Tampa Bay estuary. The purpose of the document is to facilitate development of the monitoring program by assisting the TBNEP to define the objectives of a monitoring program for Tampa Bay identifying indicators and a sampling design that are appropriate to those objectives, and identifying how existing Tampa Bay monitoring programs can be incorporated and modified (if necessary) to meet the monitoring objectives.

  19. Inter-Tribal Council of Michigan, Inc. - Bay Mills Indian Community...

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Environmental Services Division Bay Mills Indian Community Energy Reduc

  20. Building America Whole-House Solutions for Existing HomesBay...

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    HomesBay Ridge Gardens - Mixed Humid Affordable Multifamily Housing Deep Energy Retrofit, ... Ridge Gardens - Mixed Humid Affordable Multifamily Housing Deep Energy Retrofit, ...

  1. Measuring Theta_13 at Daya Bay

    SciTech Connect

    Lau, Kwong

    2014-03-14

    We measured the neutrino mixing angle, theta13, presumably related to the preponderance of matter over antimatter in our universe with high precision. We determined theta13 by measuring the disappearance of neutrinos from a group of six nuclear reactors. The target, located inside a mountain at about 2 km from the reactors, is 80 tons of liquid scintillator doped with trace amount of Gadolinium to increase its neutron detection efficiency. The neutrino flux is measured by the inverse beta-decay reaction where the final-state particles are detected by the liquid scintillator. The measured value of theta13, based on data collected over 3 years, is large, around 8 degrees, rendering the measurement of the parameter related to matter-antimatter asymmetry in future long baseline neutrino experiments easier.

  2. Chedabucto Bay 1992 shoreline oil conditions survey: Long-term fate of bunker C oil from the arrow spill in Chedabucto Bay, Nova Scotia

    SciTech Connect

    Owens, E.H.; McGuire, B.E.; Humphrey, B.

    1994-03-01

    The report presents a description of the activities related to and a summary of the information generated by a field survey carried out in Chedabucto Bay, Nova Scotia, for Environment Canada from June to September 1992. The objective of the survey was to locate and document any residual oil on the shores of Chedabucto Bay. The grounding of the tanker Arrow in February 1970 resulted in the release of more than 11 million liters of Bunker C fuel oil. This oil was stranded over an estimated 305 km of shoreline in the Chedabucto Bay area.

  3. Key Neutrino behavior observed at Daya Bay (The College of William and

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Mary) | Jefferson Lab Key Neutrino behavior observed at Daya Bay (The College of William and Mary) External Link: http://www.wm.edu/news/stories/2012/key-neutrino-behavior-observed-at-daya-bay-1... By jlab_admin on Thu, 2012-03-08

  4. ESnet, Orange Silicon Valley, and Bay Microsystems Demonstrate the

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    World's First Long Distance 40Gbps RDMA Data Transfer ESnet, Orange Silicon Valley, and Bay Microsystems Demonstrate the World's First Long Distance 40Gbps RDMA Data Transfer News & Publications ESnet News Media & Press Publications and Presentations Galleries ESnet Awards and Honors Contact Us Media Jon Bashor, jbashor@lbl.gov, +1 510 486 5849 or Media@es.net Technical Assistance: 1 800-33-ESnet (Inside the US) 1 800-333-7638 (Inside the US) 1 510-486-7600 (Globally) 1 510-486-7607

  5. The Muon System of the Daya Bay Reactor Antineutrino Experiment

    DOE PAGES [OSTI]

    An, F. P.; Hackenburg, R. W.; Brown, R. E.; Chasman, C.; Dale, E.; Diwan, M. V.; Gill, R.; Hans, S.; Isvan, Z.; Jaffe, D. E.; et al

    2014-10-05

    The Daya Bay experiment consists of functionally identical antineutrino detectors immersed in pools of ultrapure water in three well-separated underground experimental halls near two nuclear reactor complexes. These pools serve both as shields against natural, low-energy radiation, and as water Cherenkov detectors that efficiently detect cosmic muons using arrays of photomultiplier tubes. Each pool is covered by a plane of resistive plate chambers as an additional means of detecting muons. Design, construction, operation, and performance of these muon detectors are described. (auth)

  6. Microbial diversity and carbon cycling in San Francisco Bay wetlands

    SciTech Connect

    Theroux, Susanna; Hartman, Wyatt; He, Shaomei; Tringe, Susannah

    2014-03-21

    Wetland restoration efforts in San Francisco Bay aim to rebuild habitat for endangered species and provide an effective carbon storage solution, reversing land subsidence caused by a century of industrial and agricultural development. However, the benefits of carbon sequestration may be negated by increased methane production in newly constructed wetlands, making these wetlands net greenhouse gas (GHG) sources to the atmosphere. We investigated the effects of wetland restoration on below-ground microbial communities responsible for GHG cycling in a suite of historic and restored wetlands in SF Bay. Using DNA and RNA sequencing, coupled with real-time GHG monitoring, we profiled the diversity and metabolic potential of wetland soil microbial communities. The wetland soils harbor diverse communities of bacteria and archaea whose membership varies with sampling location, proximity to plant roots and sampling depth. Our results also highlight the dramatic differences in GHG production between historic and restored wetlands and allow us to link microbial community composition and GHG cycling with key environmental variables including salinity, soil carbon and plant species.

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

    SciTech Connect

    McCoy, R.M.

    1994-12-02

    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.

  8. Mitigation options for fish and wildlife resources affected by port and other water-dependent developments in Tampa Bay, Florida

    SciTech Connect

    Dial, R.S.; Deis, D.R.

    1986-06-01

    Ten past restoration projects in Tampa Bay were evaluated. Habitats included Spartina marsh, mangrove forests, Juncus marsh, and subtidal habitat. Success was difficult to determine because goals for each project had not been defined. In-kind losses of habitat occurred in all but one project. Permanent losses occurred in at least three projects. Restoration of Spartina and Juncus marshes was recommended. Mangroves will recruit into Spartina marshes, provided a seed source is available; planting of mangroves alone is not recommended. Seagrass restoration is not recommended at this time. Twelve sites, most less than 50 ha, were identified as potential restoration sites to give 344 ha of subtidal habitat to be made shallower and 176 ha of uplands to be scraped down. The current management program's legal and policy needs for improving environmental management, the role of mitigation, and the information needed to develop mitigation plans are discussed. This report will be useful to decisionmakers concerned with wetland habitat loss and restoration in Tampa Bay, Florida, and other areas with similar habitats.

  9. Factors Influencing Spatial and Annual Variability in Eelgrass (Zostera marina L.) Meadows in Willapa Bay, Washington, and Coos Bay, Oregon, Estuaries

    SciTech Connect

    Thom, Ronald M.; Borde, Amy B.; Rumrill, Steven; Woodruff, Dana L.; Williams, Greg D.; Southard, John A.; Sargeant, Susan L.

    2003-08-01

    Environmental factors that influence annual variability and spatial differences in eelgrass meadows (Zostera marina L.) were examined within Willapa Bay, WA, and Coos Bay, OR, over a period of 4 years (1998-2001). A suite of eelgrass metrics were recorded annually at field sites that spanned the estuarine gradient from the marine-dominated to mesohaline regions. Growth of eelgrass plants was also monitored on a monthly basis within Sequim Bay, WA. Both the spatial cover and density of Z. marina were positively correlated with estuarine salinity and inversely correlated with temperature of the tideflat sediment. Experimental evidence verified that optimal eelgrass growth occurred at highest salinities and relatively low temperatures. Eelgrass density, biomass, and the incident of flowering plants all increased substantially in Willapa Bay, and less so in Coos Bay, over the duration of the study. Warmer winters and cooler summers associated with the transition from El Ni?o to La Ni?a ocean conditions during the study period were correlated with the increase in eelgrass abundance and flowering. Anthropogenic factors (e.g., disturbance and erosion by vessel wakes and recreational shellfishing activities) may have contributed to spatial variability. Our findings indicate that large-scale changes in climate and nearshore ocean conditions can exert a strong regional influence on eelgrass abundance, which can vary annually by as much as 700% in Willapa Bay. Lower levels of variability observed in Coos Bay may be due to the stronger and more direct influence of the nearshore Pacific Ocean. We conclude that climate variation may have profound effects on the abundance and distribution of eelgrass meadows throughout the Pacific Northwest, and we anticipate that ocean conditions will emerge as a primary driving force for living estuarine resources and ecological processes that are associated with Z. marina beds within the landscape of these estuarine tidal basins.

  10. Make Energy at The Bay Area Maker Faire | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Make Energy at The Bay Area Maker Faire Make Energy at The Bay Area Maker Faire Addthis Representatives from the Department of Energy's National Labs, the Office of Energy Efficiency and Renewable Energy (EERE), the Advanced Research Projects Agency (ARPA-E) and the Office of Technology Transitions (OTT) were on hand at the first-ever Make | ENERGY Pavilion at the Bay Area Maker Faire May 20-22, 2016, at the San Mateo County Event Center. Watch this video to learn more.

  11. Heed Work Safety Signs, Cones, Stanchions in the Test Lab High Bay |

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Jefferson Lab Heed Work Safety Signs, Cones, Stanchions in the Test Lab High Bay Heed Work Safety Signs, Cones, Stanchions in the Test Lab High Bay To meet the needs of work underway in the Test Lab High Bay, the area has become very dynamic and congested. The walking paths and boundaries of radiologically controlled areas (RCAs)/radioactive material areas (RMA) may shift or change dramatically from day-to-day or even from morning-to-afternoon. Crane operations (to move equipment across the

  12. Development of a Hydrodynamic and Transport model of Bellingham Bay in Support of Nearshore Habitat Restoration

    SciTech Connect

    Wang, Taiping; Yang, Zhaoqing; Khangaonkar, Tarang

    2010-04-22

    In this study, a hydrodynamic model based on the unstructured-grid finite volume coastal ocean model (FVCOM) was developed for Bellingham Bay, Washington. The model simulates water surface elevation, velocity, temperature, and salinity in a three-dimensional domain that covers the entire Bellingham Bay and adjacent water bodies, including Lummi Bay, Samish Bay, Padilla Bay, and Rosario Strait. The model was developed using Pacific Northwest National Laboratory’s high-resolution Puget Sound and Northwest Straits circulation and transport model. A sub-model grid for Bellingham Bay and adjacent coastal waters was extracted from the Puget Sound model and refined in Bellingham Bay using bathymetric light detection and ranging (LIDAR) and river channel cross-section data. The model uses tides, river inflows, and meteorological inputs to predict water surface elevations, currents, salinity, and temperature. A tidal open boundary condition was specified using standard National Oceanic and Atmospheric Administration (NOAA) predictions. Temperature and salinity open boundary conditions were specified based on observed data. Meteorological forcing (wind, solar radiation, and net surface heat flux) was obtained from NOAA real observations and National Center for Environmental Prediction North American Regional Analysis outputs. The model was run in parallel with 48 cores using a time step of 2.5 seconds. It took 18 hours of cpu time to complete 26 days of simulation. The model was calibrated with oceanographic field data for the period of 6/1/2009 to 6/26/2009. These data were collected specifically for the purpose of model development and calibration. They include time series of water-surface elevation, currents, temperature, and salinity as well as temperature and salinity profiles during instrument deployment and retrieval. Comparisons between model predictions and field observations show an overall reasonable agreement in both temporal and spatial scales. Comparisons of

  13. Little Traverse Bay Bands of Odawa Indians- 2005 Project

    Energy.gov [DOE]

    The Little Traverse Bay Bands of Odawa Indians is located in the northern part of lower Michigan on approximately 590 acres of land. The tribe originally had no consistent vision or strategic plan concerning its energy use. This project had three objectives. The first objective was to produce a comprehensive energy plan for the tribe. The second objective was to create an energy organization and tribal energy code. The third objective was to increase the capacity of the tribe for better understanding (through active tribal participation), capability, knowledge and awareness of energy issues through bimonthly articles in the tribal newsletter and two energy workshops. The vision, strategic plan, and code will provide the focus, direction and guidelines as the tribe seeks to develop renewable energy and energy efficiency.

  14. A PRECISION MEASUREMENT OF THE NEUTRINO MIXING ANGLE THETA (SUB 13) USING REACTOR ANTINEUTRINOS AT DAYA BAY.

    SciTech Connect

    KETTELL, S.; ET AL.

    2006-10-16

    This document describes the design of the Daya Bay reactor neutrino experiment. Recent discoveries in neutrino physics have shown that the Standard Model of particle physics is incomplete. The observation of neutrino oscillations has unequivocally demonstrated that the masses of neutrinos are nonzero. The smallness of the neutrino masses (<2 eV) and the two surprisingly large mixing angles measured have thus far provided important clues and constraints to extensions of the Standard Model. The third mixing angle, {delta}{sub 13}, is small and has not yet been determined; the current experimental bound is sin{sup 2} 2{theta}{sub 13} < 0.17 at 90% confidence level (from Chooz) for {Delta}m{sub 31}{sup 2} = 2.5 x 10{sup -3} eV{sup 2}. It is important to measure this angle to provide further insight on how to extend the Standard Model. A precision measurement of sin{sup 2} 2{theta}{sub 13} using nuclear reactors has been recommended by the 2004 APS Multi-divisional Study on the Future of Neutrino Physics as well as a recent Neutrino Scientific Assessment Group (NUSAG) report. We propose to perform a precision measurement of this mixing angle by searching for the disappearance of electron antineutrinos from the nuclear reactor complex in Daya Bay, China. A reactor-based determination of sin{sup 2} 2{theta}{sub 13} will be vital in resolving the neutrino-mass hierarchy and future measurements of CP violation in the lepton sector because this technique cleanly separates {theta}{sub 13} from CP violation and effects of neutrino propagation in the earth. A reactor-based determination of sin{sup 2} 2{theta}{sub 13} will provide important, complementary information to that from long-baseline, accelerator-based experiments. The goal of the Daya Bay experiment is to reach a sensitivity of 0.01 or better in sin{sup 2} 2{theta}{sub 13} at 90% confidence level.

  15. Make Energy at the Bay Area Maker Faire | Department of Energy

    Energy.gov [DOE] (indexed site)

    Make Energy at the Bay Area Maker Faire Video from the Department of Energy, published ... Here's a short video that captures some of their experiences at the Faire. For more ...

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

    Energy.gov [DOE] (indexed site)

    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. ...

  17. MHK Projects/OpenHydro Bay of Fundy Nova Scotia CA | Open Energy...

    OpenEI (Open Energy Information) [EERE & EIA]

    Phase Phase 1 Project Details OpenHydro is working with Canadian utility Nova Scotia Power to create a tidal demonstration project in the Bay of Fundy. Following successful...

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

    SciTech Connect

    Not Available

    1981-04-01

    Volume II contains the fight path, radiometric multi-parameter stacked profiles, magnetic and ancillary parameter stacked profiles, histograms, and anomaly maps for the Coos Bay Quadrangle in Oregon.

  19. Development of baseline water quality stormwater detention pond model for Chesapeake Bay catchments

    SciTech Connect

    Musico, W.J.; Yoon, J.

    1999-07-01

    An environmental impact assessment is required for every proposed development in the Commonwealth of Virginia to help identify areas of potential concerns. The purpose of the Chesapeake Bay Local Assistance Department (CBLAD), Guidance Calculation Procedures is to ensure that development of previously constructed areas do not further exacerbate current problems of stormwater-induced eutrophication and downstream flooding. The methodology is based on the post development conditions that will not generate greater peak flows and will result in a 10% overall reduction of total phosphorus. Currently, several well-known models can develop hydrographs and pollutographs that accurately model the real response of a given watershed to any given rainfall event. However, conventional method of achieving the desired peak flow reduction and pollutant removal is not a deterministic procedure, and is inherently a trail and error process. A method of quickly and accurately determining the required size of stormwater easements was developed to evaluate the effectiveness of alternative stormwater collection and treatment systems. In this method, predevelopment conditions were modeled first to estimate the peak flows and subsequent pollutants generation that can be used as a baseline for post development plan. Resulting stormwater easement estimates facilitate decision-making processes during the planning and development phase of a project. The design can be optimized for the minimum cost or the smallest-possible pond size required for peak flow reduction and detention time given the most basic data such as: inflow hydrograph and maximum allowable pond depth.

  20. Confirmatory Survey of the Fuel Oil Tank Area - Humboldt Bay Power Plant, Eureka, California

    SciTech Connect

    ADAMS, WADE C

    2012-04-09

    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.

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

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Union Address, Commitment to Clean Energy | Department of Energy 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

  2. BayeSED: A GENERAL APPROACH TO FITTING THE SPECTRAL ENERGY DISTRIBUTION OF GALAXIES

    SciTech Connect

    Han, Yunkun; Han, Zhanwen E-mail: zhanwenhan@ynao.ac.cn

    2014-11-01

    We present a newly developed version of BayeSED, a general Bayesian approach to the spectral energy distribution (SED) fitting of galaxies. The new BayeSED code has been systematically tested on a mock sample of galaxies. The comparison between the estimated and input values of the parameters shows that BayeSED can recover the physical parameters of galaxies reasonably well. We then applied BayeSED to interpret the SEDs of a large K{sub s} -selected sample of galaxies in the COSMOS/UltraVISTA field with stellar population synthesis models. Using the new BayeSED code, a Bayesian model comparison of stellar population synthesis models has been performed for the first time. We found that the 2003 model by Bruzual and Charlot, statistically speaking, has greater Bayesian evidence than the 2005 model by Maraston for the K{sub s} -selected sample. In addition, while setting the stellar metallicity as a free parameter obviously increases the Bayesian evidence of both models, varying the initial mass function has a notable effect only on the Maraston model. Meanwhile, the physical parameters estimated with BayeSED are found to be generally consistent with those obtained using the popular grid-based FAST code, while the former parameters exhibit more natural distributions. Based on the estimated physical parameters of the galaxies in the sample, we qualitatively classified the galaxies in the sample into five populations that may represent galaxies at different evolution stages or in different environments. We conclude that BayeSED could be a reliable and powerful tool for investigating the formation and evolution of galaxies from the rich multi-wavelength observations currently available. A binary version of the BayeSED code parallelized with Message Passing Interface is publicly available at https://bitbucket.org/hanyk/bayesed.

  3. Building America Whole-House Solutions for Existing HomesBay Ridge Gardens

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    - Mixed Humid Affordable Multifamily Housing Deep Energy Retrofit, Annapolis, Maryland (Fact Sheet) | Department of Energy HomesBay Ridge Gardens - Mixed Humid Affordable Multifamily Housing Deep Energy Retrofit, Annapolis, Maryland (Fact Sheet) Building America Whole-House Solutions for Existing HomesBay Ridge Gardens - Mixed Humid Affordable Multifamily Housing Deep Energy Retrofit, Annapolis, Maryland (Fact Sheet) Approximately 43% energy savings are achieved in a 1970s multifamily

  4. Importance of Carolina Bays to the Avifauna of Pinelands in the Southeastern United States.

    SciTech Connect

    Czapka, Stephen, J.; Kilgo, John, C.

    2011-07-01

    Abstract - Past anthropogenic activity has led to the destruction or alteration of Carolina bay wetlands throughout the southeastern United States. Presently, urban development, combined with a 2001 ruling by the US Supreme Court relaxing protection of isolated wetlands, poses an increasing threat to these and other isolated wetland systems; however, little information exists on the importance of these wetland systems to birds. We compared breeding and wintering bird communities of upland pine (Pinus spp.) forests with and without Carolina bays. Estimated species richness was greater in pine forests with Carolina bays than without during the winter (31.7 ± 1.3 [mean ± SE] vs. 26.9 ± 1.2; P = 0.027), but not in the breeding season (27.9 ± 2.2 vs. 26.3 ± 2.2; P = 0.644). Total relative abundance did not differ between pine forests with Carolina bays and those without in either the breeding (148.0 ± 16.0 vs. 129.4 ± 10.4 birds/40 ha; P = 0.675) or winter (253.0 ± 36.4 vs. 148.8 ± 15.1 birds/40 ha; P = 0.100) seasons. However, 23 species, 43% of which were wetland-dependent, were observed only in pine forests with bays during the breeding season, and 20 species, 30% of which were wetland-dependent, were observed only in such sites during winter. In contrast, only 6 and 1 species were observed only in pine forests without bays during the breeding and winter seasons, respectively, indicating that few species were negatively affected by the presence of bays. Thus, Carolina bays appear to enrich the avifauna of pine forests in the southeastern United States.

  5. Hardwood re-sprout control in hydrologically restored Carolina Bay depression wetlands.

    SciTech Connect

    Moser, Lee, Justin

    2009-06-01

    Carolina bays are isolated depression wetlands located in the upper coastal plain region of the eastern Unites States. Disturbance of this wetland type has been widespread, and many sites contain one or more drainage ditches as a result of agricultural conversion. Restoration of bays is of interest because they are important habitats for rare flora and fauna species. Previous bay restoration projects have identified woody competitors in the seedbank and re-sprouting as impediments to the establishment of herbaceous wetland vegetation communities. Three bays were hydrologically restored on the Savannah River Site, SC, by plugging drainage ditches. Residual pine/hardwood stands within the bays were harvested and the vegetative response of the seedbank to the hydrologic change was monitored. A foliar herbicide approved for use in wetlands (Habitat® (Isopropylamine salt of Imazapyr)) was applied on one-half of each bay to control red maple (Acer rubrum L.), sweet gum (Liquidambar styraciflua L.), and water oak (Quercus nigra L.) sprouting. The effectiveness of the foliar herbicide was tested across a hydrologic gradient in an effort to better understand the relationship between depth and duration of flooding, the intensity of hardwood re-sprout pressure, and the need for hardwood management practices such as herbicide application.

  6. Investigation of Wave Energy Converter Effects on Near-shore Wave Fields: Model Generation Validation and Evaluation - Kaneohe Bay HI.

    SciTech Connect

    Roberts, Jesse D.; Chang, Grace; Jones, Craig

    2014-09-01

    The numerical model, SWAN (Simulating WAves Nearshore) , was used to simulate wave conditions in Kaneohe Bay, HI in order to determine the effects of wave energy converter ( WEC ) devices on the propagation of waves into shore. A nested SWAN model was validated then used to evaluate a range of initial wave conditions: significant wave heights (H s ) , peak periods (T p ) , and mean wave directions ( MWD) . Differences between wave height s in the presence and absence of WEC device s were assessed at locations in shore of the WEC array. The maximum decrease in wave height due to the WEC s was predicted to be approximately 6% at 5 m and 10 m water depths. Th is occurred for model initiation parameters of H s = 3 m (for 5 m water depth) or 4 m (10 m water depth) , T p = 10 s, and MWD = 330deg . Subsequently, bottom orbital velocities were found to decrease by about 6%.

  7. CX-004312: Categorical Exclusion Determination

    Energy.gov [DOE]

    Alaska-Tribe-Native Village of Scammon BayCX(s) Applied: A9, A11, B2.5, B5.1Date: 10/27/2010Location(s): Scammon Bay, AlaskaOffice(s): Energy Efficiency and Renewable Energy

  8. CX-007075: Categorical Exclusion Determination

    Energy.gov [DOE]

    Wisconsin-City-Green BayCX(s) Applied: A1, A9, A11, B1.32, B2.5, B5.1Date: 09/27/2011Location(s): Green Bay, WisconsinOffice(s): Energy Efficiency and Renewable Energy, Savannah River Operations Office

  9. EA-1992: Principle Power, Inc., WindFloat Pacific Offshore Wind Demonstration Project, offshore of Coos Bay, Oregon

    Office of Energy Efficiency and Renewable Energy (EERE)

    Funding for Principle Power, Inc., for the WindFloat Pacific Offshore Wind Demonstration Project, offshore of Coos Bay, Oregon. The EA has been cancelled.

  10. Deep porosity preservation in the Norphlet Formation, Mobil Bay, Alabama

    SciTech Connect

    Ajdukiewicz, J.M.; Paxton, S.T.; Szabvo, J.O. )

    1991-03-01

    Compaction and pressure solution have commonly been assumed to destroy primary intergranular porosity in deeply buried sandstones. However, primary porosities of up to 20% are preserved at depths greater than 20,000 feet in the Norphlet Formation of Mobile Bay. Previous workers have called upon a number of mechanisms to preserve these high porosities in the Norphlet, specifically chlorite rim cements, gas emplacement, overpressuring, and decementation. In contrast, our study of data from 23 Norphlet wells, including 450 thin sections, indicates that these suggested mechanisms are not the primary cause of porosity preservation in the Norphlet. The authors propose an alternative interpretation: that in the Norphlet, as in other well-sorted, ductile-grain-poor sandstones, porosity loss from compaction did not go to completion under reservoir (premetamorphic) conditions, but stabilized at depths of about 5,000-8,000 feet and porosity values of about 26%. Porosity loss below these values is due to cementation. For cementation to occur, both an adequate source of cement and geochemical conditions favoring cement precipitation must be present. Computer simulations of Norphlet burial history, including post-depositional fluid-flow patterns, suggest that conditions favorable to quartz cementation never occurred in the bulk of the Norphlet because of the formation's stratigraphic position and isolation from a basinward source of silica-saturated fluids.

  11. HOOPER BAY HOUSING ANALYSIS AND ENERGY FEASIBILITY REPORT

    SciTech Connect

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

    2012-12-30

    Sea Lion applied for and received a grant from the Department of Energy (DOE) towards this end titled Energy Efficiency Development and Deployment in Indian Country. 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.

  12. Time series monitoring of water quality and microalgal diversity in a tropical bay under intense anthropogenic interference (SW coast of the Bay of Bengal, India)

    SciTech Connect

    Shaik, Aziz ur Rahman; Biswas, Haimanti; Reddy, N.P.C.; Srinivasa Rao, V.; Bharathi, M.D.; Subbaiah, Ch.V.

    2015-11-15

    In recent decades, material fluxes to coastal waters from various land based anthropogenic activities have significantly been enhanced around the globe which can considerably impact the coastal water quality and ecosystem health. Hence, there is a critical need to understand the links between anthropogenic activities in watersheds and its health. Kakinada Bay is situated at the SW part of the Bay of Bengal, near to the second largest mangrove cover in India with several fertilizer industries along its bank and could be highly vulnerable to different types of pollutants. However, virtually, no data is available so far reporting its physicochemical status and microalgal diversity at this bay. In order to fill this gap, we conducted three time series observations at a fixed station during January, December and June 2012, at this bay measuring more than 15 physical, chemical and biological parameters in every 3 h over a period of 36 h in both surface (0 m) and subsurface (4.5 m) waters. Our results clearly depict a strong seasonality between three sampling months; however, any abnormal values of nutrients, biological oxygen demand or dissolved oxygen level was not observed. A Skeletonema costatum bloom was observed in December which was probably influenced by low saline, high turbid and high Si input through the river discharge. Otherwise, smaller diatoms like Thalassiosira decipiens, Thalassiothrix frauenfeldii, and Thalassionema nitzschioides dominated the bay. It is likely that the material loading can be high at the point sources due to intense anthropogenic activities, however, gets diluted with biological, chemical and physical processes in the offshore waters. - Highlights: • No signature of enormous nutrient loading was observed over the diel cycle • Dissolved oxygen and BOD concentrations did not show any exceptional trend • Diatoms dominated more than 90% of the total phytoplankton communities • A Skeletonema Costatum (a centric diatom) bloom was

  13. Understanding the Flushing Capability of Bellingham Bay and Its Implication on Bottom Water Hypoxia

    SciTech Connect

    Wang, Taiping; Yang, Zhaoqing

    2015-05-05

    In this study, an unstructured-grid finite-volume coastal ocean model (FVCOM) was used to simulate hydrodynamic circulation and assess the flushing capability in Bellingham Bay, Washington, USA. The model was reasonably calibrated against field observations for water level, velocity and salinity, and was further used to calculate residence time distributions in the study site. The model results suggest that, despite the large tidal ranges (~4 m during spring tide), tidal currents are relatively weak in Bellingham Bay with surface currents generally below 0.5 m/s. The local residence time in Bellingham Bay varies from to near zero to as long as 15 days, depending on the location and river flow condition. In general, Bellingham Bay is a well-flushed coastal embayment affected by freshwater discharge, tides, wind, and density-driven circulation. The basin-wide global residence time ranges from 5-7 days. The model results also provide useful information on possible causes of the emerging summertime hypoxia problem in the north central region of Bellingham Bay. It was concluded that the formation of the bottom hypoxic water should result from the increased consumption rate of oxygen in the bottom oceanic inflow with low dissolved oxygen by organic matters accumulated at the regions characterized with relatively long residence time in summer months.

  14. Liverpool Bay Development - oil spill response strategy and its realisation

    SciTech Connect

    Gilliver, R.E.; Methven, J.O.; Nicholls, M.R.

    1996-12-31

    Robust contingency oil spill response arrangements are a prerequisite of nearshore oilfield developments. The Liverpool Bay Development (LBD) represents the greatest UK challenge to date in this regard. This paper describes the development of BHP Petroleum E/R/A/ME Region`s LBD oil spill response strategy and how it was possible to implement this strategy in a very cost effective way. The strategy was based initially on the field Environmental Impact Assessments, which had identified oil spill hazards and risks based on industry data. Additional studies and tests defined credible oil spill events, specific oil properties and coastal impacts. The types, levels and location of response requirements offshore and onshore were then evaluated - we had our strategy. A series of in-house brain storm sessions reviewed all possible means of achieving the strategy. LBD was unique: a 4 field nearshore development with offshore crude storage and offloading. Novel solutions should be possible, resulting in a more cost effective implementation of the response strategy. Using multi-function vessels was a recurring theme - oil spill response arrangements should not be considered in isolation but together with other marine support services. A crucial step was to realize accepted practices were based on single well or single field scenarios. The company successfully opened a debate within the industry and government agencies on existing UK Regulations governing oil spill recovery, resulting in drafted, more practical Regulations and Guidelines. A shortlist of possible vessel scenarios was then prepared. These were costed and tested against the response strategy by risk analysis, checking double jeopardy cover for all marine support services. Government Agencies were consulted closely. This was particularly important because of the novel nature of the proposals. Their considered and positive responses enabled us to go forward with the most cost effective acceptable solution.

  15. Highlighting High Performance: The Philip Merrill Environmental Center; Chesapeake Bay Foundation, Annapolis, Maryland. Office of Building Technology, State and Community Programs (BTS) Brochure

    SciTech Connect

    2002-04-01

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

  16. EA-1992: Funding for Principle Power, Inc., for the WindFloat Pacific Offshore Wind Demonstration Project, offshore of Coos Bay, Oregon

    Energy.gov [DOE]

    Funding for Principle Power, Inc., for the WindFloat Pacific Offshore Wind Demonstration Project, offshore of Coos Bay, Oregon

  17. Development and application of a contaminant transport, dispersion and impact model for San Diego Bay

    SciTech Connect

    Richter, K.E.; Sutton, D.

    1994-12-31

    The authors are collaborating with colleagues from the US Geological Survey and Army Corps of Engineers in developing and validating hydrodynamic, sediment transport, contaminant partitioning and food chain models for San Diego Bay. The models will be integrated, graphical, and designed as an adjunct to risk assessment field studies. While initially focusing on PAH release (primarily creosote) from the San Diego Naval Station, the authors hope to develop models applicable to a variety of contaminants introduced into the bay. Sensitive communities the authors hope to address include eel grass beds in the south bay and kelp forests at the mouth. The structure of the model, its rationale, current validation efforts, and other cooperating agencies/universities will be presented.

  18. Locations and areas of ponds and Carolina Bays at the Savannah River Plant

    SciTech Connect

    Shields, J.D.; Woody, N.D.; Dicks, A.S.; Hollod, G.J.; Schalles, J.; Leversee, G.J.

    1982-05-01

    The Savannah River Plant has 28 ponds and 190 Carolina Bays on its 192,000-acreite. Excluding the Par Pond system, the mean pond area is 17.6 acre, with a range of 0.4 to 202.8 acres. Par Pond is the largest pond, with an area of 2500 acres. The mean Carolina Bay area is 6.6 acres, with a range of less than 0.3 to 124.0 acres. The geographical location of each pond and bay has been digitized and can be graphically displayed by computer. This capability will facilitate identification of wetland areas as required by Executive Order 11990 (Protection of Wetlands, May 24, 1977).

  19. 9 Cool Technologies at the Bay Area Maker Faire | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    9 Cool Technologies at the Bay Area Maker Faire 9 Cool Technologies at the Bay Area Maker Faire May 12, 2016 - 10:14am Addthis PARTS FROM THE WORLD’S LARGEST LASER 1 of 9 PARTS FROM THE WORLD'S LARGEST LASER You're looking at the inside of the world's largest and most powerful laser. It focuses the intense energy of 192 giant laser beams on a BB-sized target in experiments to create nuclear fusion. Examples of the optics that focus the lasers and targets at which they're aimed will be on

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

    SciTech Connect

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

    2011-11-01

    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.

  1. CX-010350: Categorical Exclusion Determination

    Energy.gov [DOE]

    Aerial Photography Activity Over the Proposed Richmond Bay Campus CX(s) Applied: B3.2 Date: 04/04/2013 Location(s): California Offices(s): Berkeley Site Office

  2. CX-012000: Categorical Exclusion Determination

    Energy.gov [DOE]

    Hatwai Substation Bay 4 Equipment Acquisition CX(s) Applied: B1.24 Date: 04/22/2014 Location(s): Idaho Offices(s): Bonneville Power Administration

  3. CX-000051: Categorical Exclusion Determination

    Office of Energy Efficiency and Renewable Energy (EERE)

    Little Traverse Bay Band of Odawa Indians Transportation ProgramsCX(s) Applied: B5.1Date: 11/10/2009Location(s): MichiganOffice(s): Energy Efficiency and Renewable Energy

  4. CX-004353: Categorical Exclusion Determination

    Energy.gov [DOE]

    Alaska-Tribe-Nanwalek (Also Known As English Bay)CX(s) Applied: A9, A11Date: 11/03/2010Location(s): Nanwalek, AlaskaOffice(s): Energy Efficiency and Renewable Energy

  5. CX-009558: Categorical Exclusion Determination

    Energy.gov [DOE]

    PMVI Bay Area Photovoltaic Consortium CX(s) Applied: A9, B3.15, B3.6 Date: 12/04/2012 Location(s): California Offices(s): Golden Field Office

  6. CX-007990: Categorical Exclusion Determination

    Energy.gov [DOE]

    Pearl Substation 500-Kilovolt #6 Bay Addition CX(s) Applied: B4.6 Date: 02/13/2012 Location(s): Oregon Offices(s): Bonneville Power Administration

  7. CX-011181: Categorical Exclusion Determination

    Energy.gov [DOE]

    Wallicut-Baker Bay Property Structure Removal Funding CX(s) Applied: B1.23 Date: 09/11/2013 Location(s): Washington Offices(s): Bonneville Power Administration

  8. CX-000104: Categorical Exclusion Determination

    Energy.gov [DOE]

    Pedro Bay Native Village Technical Consulting Services for Mini Hydropower Feasibility StudyCX(s) Applied: A9, A11Date: 12/04/2009Location(s): AlaskaOffice(s): Energy Efficiency and Renewable Energy

  9. CX-013489: Categorical Exclusion Determination

    Energy.gov [DOE]

    Maintenance Clean the Big Hill Raw Water Intake Structure Pump Bay (GH-OM-1167) CX(s) Applied: B1.3Date: 02/23/2015 Location(s): TexasOffices(s): Strategic Petroleum Reserve Field Office

  10. CX-000014: Categorical Exclusion Determination

    Office of Energy Efficiency and Renewable Energy (EERE)

    Olympia Substation Bay AdditionCX(s) Applied: B4.6Date: 12/03/2009Location(s): Thurston County,WashingtonOffice(s): Bonneville Power Administration

  11. CX-000599: Categorical Exclusion Determination

    Energy.gov [DOE]

    Flathead Substation Bay Addition - L0307CX(s) Applied: B4.6Date: 01/13/2010Location(s): Flathead County, MontanaOffice(s): Bonneville Power Administration

  12. CX-003416: Categorical Exclusion Determination

    Energy.gov [DOE]

    Biomass Fuel PelletsCX(s) Applied: B2.5, B5.1Date: 08/16/2010Location(s): Green Bay, WisconsinOffice(s): Energy Efficiency and Renewable Energy, Golden Field Office

  13. CX-010149: Categorical Exclusion Determination

    Energy.gov [DOE]

    Integration of the Port of Tillamook Bay Generating Facility CX(s) Applied: B1.7 Date: 04/15/2013 Location(s): Oregon Offices(s): Bonneville Power Administration

  14. CX-005035: Categorical Exclusion Determination

    Energy.gov [DOE]

    Wisconsin BRAIN Program - Kwik TripCX(s) Applied: B5.1Date: 01/12/2010Location(s): Green Bay, WisconsinOffice(s): Energy Efficiency and Renewable Energy, National Energy Technology Laboratory

  15. CX-011139: Categorical Exclusion Determination

    Office of Energy Efficiency and Renewable Energy (EERE)

    105-L Transfer Bay Drainage Repair CX(s) Applied: B1.3 Date: 08/27/2013 Location(s): South Carolina Offices(s): Savannah River Operations Office

  16. CX-014208: Categorical Exclusion Determination

    Energy.gov [DOE]

    Laboratory Modifications to Bays 8/9 at the Bonneville County Technology Center CX(s) Applied: B2.5Date: 08/24/2015 Location(s): IdahoOffices(s): Nuclear Energy

  17. CX-001612: Categorical Exclusion Determination

    Energy.gov [DOE]

    Long Island Regional Energy CollaborativeCX(s) Applied: B5.1Date: 04/14/2010Location(s): Oyster Bay, New YorkOffice(s): Energy Efficiency and Renewable Energy, National Energy Technology Laboratory

  18. CX-005555: Categorical Exclusion Determination

    Energy.gov [DOE]

    TidGen Power System Commercialization ProjectCX(s) Applied: A9Date: 04/05/2011Location(s): Cobscook Bay, MaineOffice(s): Energy Efficiency and Renewable Energy, Golden Field Office

  19. CX-005563: Categorical Exclusion Determination

    Energy.gov [DOE]

    Michigan-Tribal Energy Program-Keweenaw Bay Indian CommunityCX(s) Applied: A9, A11, B3.1Date: 04/04/2011Location(s): MichiganOffice(s): Energy Efficiency and Renewable Energy

  20. CX-014559: Categorical Exclusion Determination

    Office of Energy Efficiency and Renewable Energy (EERE)

    Hot Fuel Examination Facility High Bay Crane Refurbishment CX(s) Applied: B1.31Date: 02/24/2016 Location(s): IdahoOffices(s): Nuclear Energy

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

    SciTech Connect

    Baring-Gould, I.

    2009-04-01

    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.

  2. EIS-0296: South Oregon Coast Reinforcement Project, Coos Bay/North Bend, Oregon

    Office of Energy Efficiency and Renewable Energy (EERE)

    This EIS analyzes BPA's proposed action to build a 500- kilovolt (kV) transmission line and new substation to reinforce electrical service to the southern coast of the state of Oregon. Nucor Steel, a division of Nucor Corporation, may build a new steel mill in the Coos Bay/North Bend, Oregon, area.

  3. EIS-0296: South Oregon Coast Reinforcement Project, Coos Bay/North Bend, Oregon

    Energy.gov [DOE]

    Bonneville Power Administration proposes to build a 500- kilovolt (kV) transmission line and new substation to reinforce electrical service to the southern coast of the state of Oregon. Nucor Steel, a division of Nucor Corporation, may build a new steel mill in the Coos Bay/North Bend, Oregon, area.

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

    SciTech Connect

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

    2012-05-01

    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.

  5. Evaluation of CALPUFF nitrogen deposition modeling in the Chesapeake Bay Watershed Area using NADP data

    SciTech Connect

    Garrison, M.; Mayes, P.; Sherwell, J.

    1998-12-31

    The CALMET/CALPUFF modeling system has been used to estimate nitrogen deposition in an area surrounding Baltimore and the northern portion of the Chesapeake Bay. Comprehensive NO{sub x} emissions inventories and meteorological data bases have been developed to conduct the modeling. This paper discusses the results of an evaluation of predicted nitrogen wet deposition rates compared to measured rates at two NADP/NTN sites in Maryland, Wye and White Rock. Underprediction of wet deposition rates is investigated through the use of sensitivity and diagnostic evaluations of model performance. A suggested change to the calculation of NO{sub x} transformation rates involving an alternative specification of minimum NO{sub x} concentrations was made to CALPUFF and the performance evaluation was re-done. Results of the new evaluation show significantly improved model performance, and therefore the modification is tentatively proposed for use in further applications of CALPUFF to the assessment of nitrogen deposition in the Chesapeake Bay watershed.

  6. Recent applications of coiled tubing in remedial wellwork at Prudhoe Bay

    SciTech Connect

    Loveland, K.R.; Bond, A.J.

    1996-12-31

    The vast number of wells and unique operating conditions in Alaska`s Prudhoe Bay field have presented many opportunities for those involved in remedial wellwork. Among the technologies that have either been pioneered, tested, or applied there, coiled tubing (CT) ranks as one of the most long lasting and widely used. This paper highlights the more recent applications of CT in the field. The paper begins with a brief overview of the Prudhoe Bay Unit`s (PBU) CT wellwork program and then follows with discussions on eight CT applications that have been developed or expanded in the last two years. Some are new technology and others are old techniques with a new design. Descriptions and procedures are given for each in addition to performance results thus far.

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

    Office of Science (SC)

    California South/West Bay Area Regional Middle School Science Bowl National Science Bowl® (NSB) NSB Home About Regional Competitions Rules, Forms, and Resources High School Regionals Middle School Regionals National Finals Volunteers Key Dates Frequently Asked Questions News Media Contact Us WDTS Home Contact Information National Science Bowl® U.S. Department of Energy SC-27/ Forrestal Building 1000 Independence Ave., SW Washington, DC 20585 E: Email Us Middle School Regionals California

  8. Final Report: Energy Efficiency and Feasibility Study and Resulting Plan for the Bay Mills Indian Community

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Report Energy Efficiency Feasibility Study and Resulting Plan for the Bay Mills Indian Community U.S. Department of Energy Tribal Energy Program Award # DE-EE0005173 Project Officer: Lizana K. Pierce lizana.pierce@go.doe.gov Prepared by: Inter-Tribal Council of Michigan, Inc. Environmental Services Division Sault Ste. Marie, MI 49783 Technical Contact: Chris Kushman ckushman@itcmi.org March 2014 1 Executive Summary In 2011 the Inter-Tribal Council of Michigan, Inc. was awarded an Energy

  9. Little Traverse Bay Bands of Odawa Indians - Renewable Energy Strategic Plan

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Strategic Plan Little Traverse Bay Bands Of Odawa Indians Albert Colby Jr. and Steve Smiley Tribal History 1855 Treaty established present reservation boundaries in Northern Michigan. Tribe reaffirmed on September 21, 1994. 1995 Tribe received first BIA contract designed to establish service programs to Tribal members, including Law Enforcement, Tribal Court, Housing, Natural Resources, Human Services and Enrollment Departments. Tribal History 1995 Tribe received first Indian Health Service

  10. EIS-0515: Bay Delta Conservation Plan; Sacramento-San Joaquin Delta, California

    Energy.gov [DOE]

    The Bureau of Reclamation, U.S. Fish and Wildlife Service, National Marine Fisheries Service, and California Department of Water Resources are jointly preparing an EIS/Environmental Impact Report that analyzes the potential environmental impacts of the proposed Bay Delta Conservation Plan for restoring and protecting water supply reliability, water quality, and ecosystem health. DOE’s Western Area Power Administration is a cooperating agency.

  11. Improved coiled-tubing squeeze-cementing techniques at Prudhoe Bay

    SciTech Connect

    Hornbrook, P.R.; Mason, C.M. )

    1991-04-01

    This paper presents major changes in coiled-tubing squeeze-cementing techniques used in the Prudhoe Bay Unit Western Operating Area (PBUWOA). Changes include introduction of a polymer diluent to replace borax contamination, increased differential pressures placed on squeeze and coil, reduced cement volumes, and incorporation of an inflow test and resqueeze procedure. These changes resulted in increased squeeze effectiveness by reducing equipment and engineering time requirements and by shortening well shut-in time after the workover.

  12. Zero Emission Bay Area (ZEBA) Fuel Cell Bus Demonstration Results: Fifth Report

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Zero Emission Bay Area (ZEBA) Fuel Cell Bus Demonstration Results: Fifth Report Leslie Eudy, Matthew Post, and Matthew Jeffers National Renewable Energy Laboratory Technical Report NREL/TP-5400-66039 June 2016 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 This report is available at no cost from the National Renewable Energy Laboratory (NREL) at www.nrel.gov/publications.

  13. Bay Area national labs team to tackle long-standing automotive hydrogen

    National Nuclear Security Administration (NNSA)

    storage challenge | National Nuclear Security Administration | (NNSA) Bay Area national labs team to tackle long-standing automotive hydrogen storage challenge Thursday, October 15, 2015 - 1:34pm Sandia National Laboratories chemist Mark Allendorf Sandia National Laboratories chemist Mark Allendorf, shown here at Berkeley Lab's Advanced Light Source facility, is leading the Hydrogen Materials - Advanced Research Consortium (HyMARC) to advance solid-state materials for onboard hydrogen

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

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    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 *

  15. Bay Ridge Gardens - Mixed-Humid Affordable Multifamily Housing Deep Energy Retrofit

    SciTech Connect

    Lyons, J.; Moore, M.; Thompson, M.

    2013-08-01

    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.

  16. Manilla Bay 1, 1A, 1A sidetrack; success against all odds

    SciTech Connect

    Durkee, E.F.; Rillera, F.G. )

    1996-01-01

    The discovery of gas in Manila Bay is one of the more significant exploration discoveries in the Western Pacific in recent years. Within the Philippine Archipelago there is no better geographic or economic location to discover gas than at Manila Bay. Geologically, the well has proven that new concepts applied to old areas, in opposition to past beliefs and dogmas is still a valid way to find hydrocarbons. This is especially true re the western margin of the Central Valley of Luzon. New Venture reviewers (more than 100) were generally negative about the possibility of limestone objectives at this setting. The operators eventually drilled the prospect by themselves. The Manila Bay discovery well is on a large basement uplift with more than 2000 feet of vertical closure and 8,000 acres of areal closure at Miocene levels. The geological surprise was that the well drilled through a Pliocene Limestone (700 feet) charged with gas. An estimated in place resource of up to 2 TCF is possible. This is economically very significant for the Philippines as it is only 30 km from downtown Manila, a city of some 10 million people without any indigenous energy supply. Over-pressured fresh water sands induced drilling problems in the initial well MB-1AST and the deeper primary objectives in Middle to Lower Miocene, also predicted to be carbonates, were not reached. A second well to appraise the Pliocene and explore the deep zones will be drilled in early 1996.

  17. Manilla Bay 1, 1A, 1A sidetrack; success against all odds

    SciTech Connect

    Durkee, E.F.; Rillera, F.G.

    1996-12-31

    The discovery of gas in Manila Bay is one of the more significant exploration discoveries in the Western Pacific in recent years. Within the Philippine Archipelago there is no better geographic or economic location to discover gas than at Manila Bay. Geologically, the well has proven that new concepts applied to old areas, in opposition to past beliefs and dogmas is still a valid way to find hydrocarbons. This is especially true re the western margin of the Central Valley of Luzon. New Venture reviewers (more than 100) were generally negative about the possibility of limestone objectives at this setting. The operators eventually drilled the prospect by themselves. The Manila Bay discovery well is on a large basement uplift with more than 2000 feet of vertical closure and 8,000 acres of areal closure at Miocene levels. The geological surprise was that the well drilled through a Pliocene Limestone (700 feet) charged with gas. An estimated in place resource of up to 2 TCF is possible. This is economically very significant for the Philippines as it is only 30 km from downtown Manila, a city of some 10 million people without any indigenous energy supply. Over-pressured fresh water sands induced drilling problems in the initial well MB-1AST and the deeper primary objectives in Middle to Lower Miocene, also predicted to be carbonates, were not reached. A second well to appraise the Pliocene and explore the deep zones will be drilled in early 1996.

  18. Ecological Forecasting in Chesapeake Bay: Using a Mechanistic-Empirical Modelling Approach

    SciTech Connect

    Brown, C. W.; Hood, Raleigh R.; Long, Wen; Jacobs, John M.; Ramers, D. L.; Wazniak, C.; Wiggert, J. D.; Wood, R.; Xu, J.

    2013-09-01

    The Chesapeake Bay Ecological Prediction System (CBEPS) automatically generates daily nowcasts and three-day forecasts of several environmental variables, such as sea-surface temperature and salinity, the concentrations of chlorophyll, nitrate, and dissolved oxygen, and the likelihood of encountering several noxious species, including harmful algal blooms and water-borne pathogens, for the purpose of monitoring the Bay's ecosystem. While the physical and biogeochemical variables are forecast mechanistically using the Regional Ocean Modeling System configured for the Chesapeake Bay, the species predictions are generated using a novel mechanistic empirical approach, whereby real-time output from the coupled physical biogeochemical model drives multivariate empirical habitat models of the target species. The predictions, in the form of digital images, are available via the World Wide Web to interested groups to guide recreational, management, and research activities. Though full validation of the integrated forecasts for all species is still a work in progress, we argue that the mechanisticempirical approach can be used to generate a wide variety of short-term ecological forecasts, and that it can be applied in any marine system where sufficient data exist to develop empirical habitat models. This paper provides an overview of this system, its predictions, and the approach taken.

  19. Feasibility Study of Carbon Sequestration Through Reforestation in the Chesapeake Bay Watershed of Virginia

    SciTech Connect

    Andy Lacatell; David Shoch; Bill Stanley; Zoe Kant

    2007-03-01

    The Chesapeake Rivers conservation area encompasses approximately 2,000 square miles of agricultural and forest lands in four Virginia watersheds that drain to the Chesapeake Bay. Consulting a time series of classified Landsat imagery for the Chesapeake Rivers conservation area, the project team developed a GIS-based protocol for identifying agricultural lands that could be reforested, specifically agricultural lands that had been without forest since 1990. Subsequent filters were applied to the initial candidate reforestation sites, including individual sites > 100 acres and sites falling within TNC priority conservation areas. The same data were also used to produce an analysis of baseline changes in forest cover within the study period. The Nature Conservancy and the Virginia Department of Forestry identified three reforestation/management models: (1) hardwood planting to establish old-growth forest, (2) loblolly pine planting to establish working forest buffer with hardwood planting to establish an old-growth core, and (3) loblolly pine planting to establish a working forest. To assess the relative carbon sequestration potential of these different strategies, an accounting of carbon and total project costs was completed for each model. Reforestation/management models produced from 151 to 171 tons carbon dioxide equivalent per acre over 100 years, with present value costs of from $2.61 to $13.28 per ton carbon dioxide equivalent. The outcome of the financial analysis was especially sensitive to the land acquisition/conservation easement cost, which represented the most significant, and also most highly variable, single cost involved. The reforestation/management models explored all require a substantial upfront investment prior to the generation of carbon benefits. Specifically, high land values represent a significant barrier to reforestation projects in the study area, and it is precisely these economic constraints that demonstrate the economic additionality

  20. CX-100195 Categorical Exclusion Determination

    Energy.gov [DOE]

    PVMI Bay Area Photovoltaic Consortium Award Number: DE-EE0004946 CX(s) Applied: A9, B3.15, B3.6 Solar Energy Technology Program Date: 03/20/2015 Location(s): CA Office(s): Golden Field Office

  1. CX-003626: Categorical Exclusion Determination

    Energy.gov [DOE]

    Swapping Substation Bay Terminals of Bonneville Power Administration?s (BPA) White Bluffs-Richland Number 1 and Department of Energy B3-S4-White Bluffs Number 1 Transmission LinesCX(s) Applied: B1.3Date: 08/09/2010Location(s): Benton County, WashingtonOffice(s): Bonneville Power Administration

  2. CX-008378: Categorical Exclusion Determination

    Energy.gov [DOE]

    Archer 230 Kilovolt Bay Addition for New Point of Delivery - Stage 07 CX(s) Applied: B4.6 Date: 03/08/2012 Location(s): CX: none Offices(s): Western Area Power Administration-Rocky Mountain Region

  3. CX-007090: Categorical Exclusion Determination

    Office of Energy Efficiency and Renewable Energy (EERE)

    United States Navy Security System UpgradesCX(s) Applied: B1.15, B2.2Date: 05/24/2011Location(s): Albuquerque, NM; Kings Bay, GA; Bangor, WA, Georgia, New Mexico, WashingtonOffice(s): NNSA-Headquarters, Sandia Site Office

  4. CX-002284: Categorical Exclusion Determination

    Energy.gov [DOE]

    Environmental Effects of Sediment Transport Alteration and Impacts on Protected Species: Edgartown Tidal Energy ProjectCX(s) Applied: B3.1, B3.3, B3.6, A9Date: 05/10/2010Location(s): Muskegot Bay Area, MassachusettsOffice(s): Energy Efficiency and Renewable Energy, Golden Field Office

  5. CX-004651: Categorical Exclusion Determination

    Energy.gov [DOE]

    Flash Foods Job Creation and Petroleum Independence with 85% Ethanol FuelCX(s) Applied: B5.1Date: 12/09/2010Location(s): King's Bay, GeorgiaOffice(s): Energy Efficiency and Renewable Energy, Golden Field Office

  6. CX-000050: Categorical Exclusion Determination

    Energy.gov [DOE]

    Little Traverse Bay Band of Odawa Indians On Site Renewable Technologies (Wind)CX(s) Applied: B5.1, B3.6Date: 11/10/2009Location(s): MichiganOffice(s): Energy Efficiency and Renewable Energy

  7. CX-100157 Categorical Exclusion Determination

    Energy.gov [DOE]

    NREL - GSA Alexandria Bay NY Border Station-Addition of SODAR Unit; NREL Tracking No. 15-008 Award Number: DE-AC36-08GO28308 CX(s) Applied: A9, B3.1 Date: 12/23/2014 Location(s): NY Office(s): Golden Field Office

  8. CX-002374: Categorical Exclusion Determination

    Energy.gov [DOE]

    Maine Tidal Power InitiativeCX(s) Applied: B3.1, B3.3, B3.6, A9Date: 05/18/2010Location(s): Cobscook Bay, MaineOffice(s): Energy Efficiency and Renewable Energy, Golden Field Office

  9. CX-003544: Categorical Exclusion Determination

    Energy.gov [DOE]

    Environmental Impact Protocols for Tidal PowerCX(s) Applied: A9, B3.1, B3.3, B3.6Date: 08/23/2010Location(s): Cobscook Bay, MaineOffice(s): Energy Efficiency and Renewable Energy, Golden Field Office

  10. CX-002000: Categorical Exclusion Determination

    Energy.gov [DOE]

    Energy Efficiency and Conservation Block Grant - Energy Efficiency Retrofits for Littauer Property Barn ComplexCX(s) Applied: A9, A11, B5.1Date: 04/28/2010Location(s): Oyster Bay, New YorkOffice(s): Energy Efficiency and Renewable Energy, Golden Field Office

  11. CX-011388: Categorical Exclusion Determination

    Energy.gov [DOE]

    Interactions of Aquatic Animals with the Ocean Renewable Power Company TidGen(R) in Cobscook Bay, Maine: Monitoring Behavior Change and Assessing the Probability of Encounter with a Deployed Marine Hydrokinetic Device CX(s) Applied: A9, B3.3 Date: 12/17/2013 Location(s): Maine, Maine Offices(s): Golden Field Office

  12. Final Project Report, Bristol Bay Native Corporation Wind and Hydroelectric Feasibility Study

    SciTech Connect

    Vaught, Douglas J.

    2007-03-31

    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. BBNCs 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, Clarks 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, Clarks 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).

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

    SciTech Connect

    Chandler, K.; Eudy, L.

    2011-08-01

    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.

  14. Zero Emission Bay Area (ZEBA) Fuel Cell Bus Demonstration Results. Fourth Report

    SciTech Connect

    Eudy, Leslie; Post, Matthew

    2015-07-02

    This report presents results of a demonstration of fuel cell electric buses (FCEB) operating in Oakland, California. Alameda-Contra Costa Transit District (AC Transit) leads the Zero Emission Bay Area (ZEBA) demonstration, which includes 12 advanced-design fuel cell buses and two hydrogen fueling stations. The FCEBs in service at AC Transit are 40-foot, low-floor buses built by Van Hool with a hybrid electric propulsion system that includes a US Hybrid fuel cell power system and EnerDel lithium-based energy storage system. The buses began revenue service in May 2010.

  15. Systematic vegetation change analysis of mangrove dieoff in Florida Bay and southern Everglades National Park

    SciTech Connect

    Colby, M.M.; Sargent, F.J.; Sargent, W.B.

    1997-06-01

    A very brief summary is provided of a project to link hydrological and ecological relationships of the Florida Everglades watershed and the Florida Bay estuary. The creation of vegetation maps and systematic spatial analysis of vegetation and hydrological features will provide information about the interaction between these two ecosystems. The distribution of mangroves, salt marshes, and related vegetative communities are being mapped using existing aerial photography. Historical photographic records are being used to create geographic information system data layers. Changes in the composition of wetlands and vegetative patterns will be compared over a 45-year period.

  16. A fuel-based motor vehicle emission inventory for the San Francisco Bay area

    SciTech Connect

    Black, D.R.; Singer, B.C.; Harley, R.A.; Martien, P.T.; Fanai, A.K.

    1997-12-31

    Traditionally, regional motor vehicle emission inventories (MVEI) have been estimated by combining travel demand model and emission factor model predictions. The accuracy of traditional MVEIs is frequently challenged, and development of independent methods for estimating vehicle emissions has been identified as a high priority for air quality research. In this study, an alternative fuel-based MVEI was developed for the San Francisco Bay Area using data from 1990--1992. To estimate CO emissions from motor vehicles in the Bay Area, estimates of gasoline sales were combined with infrared remote sensing measurements of CO and CO{sub 2} exhaust concentrations from over 10,000 light-duty vehicles in summer 1991. Once absolute estimates of CO emissions have been computed, it is possible to use ambient NO{sub x}/CO and NMOC/CO ratios from high traffic areas to estimate emissions for NO{sub x} and NMOC (excluding some resting loss and diurnal evaporative emissions). Ambient ratios were generated from special-study measurements of NMOC and CO in 1990 and 1992, and from routine sampling of NO{sub x} and CO in 1991. All pollutant concentrations were measured on summer mornings at Bay Area monitoring sites in areas with high levels of vehicle traffic and no other significant sources nearby. Stabilized CO emissions calculated by the fuel-based method for cars and light-duty trucks were 1720{+-}420 tons/day. This value is close to California`s MVEI 7G model estimates. Total on-road vehicle emissions of CO in the Bay Area were estimated to be 2900{+-}800 tons/day. Emissions of NMOC were estimated to be 570{+-}200 tons/day, which is 1.6{+-}0.6 times the value predicted by MVEI 7G. In the present study, emissions of NO{sub x} from on-road vehicles were estimated to be 250{+-}90 tons/day, which is 0.6{+-}0.2 times the value predicted by MVEI 7G.

  17. Preparation for the Recovery of Spent Nuclear Fuel (SNF) at Andreeva Bay, North West Russia - 13309

    SciTech Connect

    Field, D.; McAtamney, N.

    2013-07-01

    Andreeva Bay is located near Murmansk in the Russian Federation close to the Norwegian border. The ex-naval site was used to de-fuel nuclear-powered submarines and icebreakers during the Cold War. Approximately 22,000 fuel assemblies remain in three Dry Storage Units (DSUs) which means that Andreeva Bay has one of the largest stockpiles of highly enriched spent nuclear fuel (SNF) in the world. The high contamination and deteriorating condition of the SNF canisters has made improvements to the management of the SNF a high priority for the international community for safety, security and environmental reasons. International Donors have, since 2002, provided support to projects at Andreeva concerned with improving the management of the SNF. This long-term programme of work has been coordinated between the International Donors and responsible bodies within the Russian Federation. Options for the safe and secure management of SNF at Andreeva Bay were considered in 2004 and developed by a number of Russian Institutes with international participation. This consisted of site investigations, surveys and studies to understand the technical challenges. A principal agreement was reached that the SNF would be removed from the site altogether and transported to Russia's reprocessing facility at Mayak in the Urals. The analytical studies provided the information necessary to develop the construction plan for the site. Following design and regulatory processes, stakeholders endorsed the technical solution in April 2007. This detailed the processes, facilities and equipment required to safely remove the SNF and identified other site services and support facilities required on the site. Implementation of this strategy is now well underway with the facilities in various states of construction. Physical works have been performed to address the most urgent tasks including weather protection over one of the DSUs, installation of shielding over the cells, provision of radiation

  18. Atmospheric nitrogen deposition loadings to the Chesapeake Bay: An initial analysis of the cost effectiveness of control options

    SciTech Connect

    1996-12-31

    The purpose of this project was to examine whether programs to control regional airborne oxides of nitrogen (NOx) are cost-effective ways to reduce nitrogen loads to the Bay compared with other management scenarios. Regional control programs considered in this analysis include: the Low Emission Vehicle (LEV) program of the Ozone Transport Commission (OTC), and a 0.15 pounds (lbs) per million British thermal unit (MMBtu) NOx emission limit applied to large fuel combustors in the Northeast Ozone Transport Region (OTC) States. The effect of extending the OTR programs to wider areas of the country - whose emissions also influence the Bay - was also examined.

  19. Existing Whole-House Solutions Case Study: Bay Ridge Gardens - Mixed Humid Affordable Multifamily Housing Deep Energy Retrofit, Annapolis, Maryland

    SciTech Connect

    2013-10-01

    Under this project, the BA-PIRC research team evaluated the installation, measured performance, and cost-effectiveness of efficiency upgrade measures for a tenant-in-place deep energy retrofit at the Bay Ridge multifamily development in Annapolis, Maryland. The design and construction phase of the Bay Ridge project was completed in August 2012. This case study 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.

  20. Bay Ridge Gardens - Mixed Humid Affordable Multifamily Housing Deep Energy Retrofit

    SciTech Connect

    Lyons, James; Moore, Mike; Thompson, Margo

    2013-08-01

    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 deep energy retrofit (DER) at the Bay Ridge multifamily development in Annapolis, Maryland. 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. 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.

  1. Authorization Basis Safety Classification of Transfer Bay Bridge Crane at the 105-K Basins

    SciTech Connect

    CHAFFEE, G.A.

    2000-04-06

    This supporting document provides the bases for the safety classification for the K Basin transfer bay bridge crane and the bases for the Structures, Systems, and Components (SSC) safety classification. A table is presented that delineates the safety significant components. This safety classification is based on a review of the Authorization Basis (AB). This Authorization Basis review was performed regarding AB and design baseline issues. The primary issues are: (1) What is the AB for the safety classification of the transfer bay bridge crane? (2) What does the SSC safety classification ''Safety Significant'' or ''Safety Significant for Design Only'' mean for design requirements and quality requirements for procurement, installation and maintenance (including replacement of parts) activities for the crane during its expected life time? The AB information on the crane was identified based on review of Department of Energy--Richland Office (RL) and Spent Nuclear Fuel (SNF) Project correspondence, K Basin Safety Analysis Report (SAR) and RL Safety Evaluation Reports (SERs) of SNF Project SAR submittals. The relevant correspondence, actions and activities taken and substantive directions or conclusions of these documents are provided in Appendix A.

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

    SciTech Connect

    Not Available

    1981-05-01

    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.

  3. Geological, geochemical, and geophysical survey of the geothermal resources at Hot Springs Bay Valley, Akutan Island, Alaska

    SciTech Connect

    Motyka, R.J.; Wescott, E.M.; Turner, D.L.; Swanson, S.E.; Romick, J.D.; Moorman, M.A.; Poreda, R.J.; Witte, W.; Petzinger, B.; Allely, R.D.

    1985-01-01

    An extensive survey was conducted of the geothermal resource potential of Hot Springs Bay Valley on Akutan Island. A topographic base map was constructed, geologic mapping, geophysical and geochemical surveys were conducted, and the thermal waters and fumarolic gases were analyzed for major and minor element species and stable isotope composition. (ACR)

  4. EA-1916: Ocean Renewable Power Company Maine, LLC Cobscook Bay Tidal Energy Pilot Project, Cobscook in Washington County, Maine

    Energy.gov [DOE]

    Draft Environmental AssessmentThis 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.

  5. Bay Area

    National Nuclear Security Administration (NNSA)

    8%2A en NNSA to Conduct Aerial Radiological Surveys Over San Francisco, Pacifica, Berkeley, And Oakland, CA Areas http:nnsa.energy.govmediaroompressreleasesamsca

  6. Daya Bay

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    2 at the 2014 ARPA-E Innovation Summit Day 2 at the 2014 ARPA-E Innovation Summit February 25, 2014 - 5:35pm Addthis 1 of 14 The Energy Department's ARPA-E Energy Innovation Summit gathers innovators, academia, government and industry to discuss pressing energy issues and breakthrough technologies. In this photo, Secretary of Energy Ernest Moniz takes the podium to introduce journalist and author Thomas Friedman to the stage. | Photo by Sarah Gerrity, Energy Department. Date taken: 2014-02-25

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

    SciTech Connect

    Eudy, L.; Chandler, K.

    2012-07-01

    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.

  8. A Radiocarbon Chronology of Hunter-Gatherer Occupation from Bodega Bay, California, USA

    SciTech Connect

    Kennedy, M A; Russell, A D; Guilderson, T P

    2005-04-27

    The evolution of hunter-gatherer maritime adaptations in western North America has been a prominent topic of discussion among archaeologists in recent years (e.g. Arnold 1992; Erlandson and Colten 1991; Erlandson and Glassow 1997; Lightfoot 1993). Although vast coastal regions of the northeastern Pacific (for example, southern California) have been investigated in detail, our understanding of hunter-gatherer developments along the coast of northern California is limited. Previous research indicates that humans have exploited marine mammals, fish and shellfish along the northern California shoreline since the early Holocene (Schwaderer 1992). By the end of the late Holocene, some groups remained year-round on the coast subsisting primarily on marine resources (e.g. Gould 1975; Hildebrandt and Levulett 2002). However, a paucity of well-dated cultural deposits has hindered our understanding of these developments, particularly during the early and middle Holocene. The lack of a long and reliable chronological sequence has restricted our interpretations of behavioral change, including the adaptive strategies (such as foraging, mobility and settlement) used by human foragers to colonize and inhabit the coastal areas of this region. These shortcomings have also hindered comparative interpretations with other coastal and inland regions in western North America. Here we present a Holocene radiocarbon chronology of hunter-gatherer occupation based on contemporaneous samples of charcoal and Mytilus californianus (California sea mussel) shell recovered from seven archaeological sites near Bodega Bay, California. A series of 127 {sup 14}C ages reveal a chronological sequence that spans from ca. 8940-110 cal BP (1{sigma}) (7890-160 {sup 14}C yr BP = charcoal; 8934-101 {sup 14}C yr BP = shell). As part of this sequence, we report new {sup 14}C dates from the stratified cave and open-air midden deposits at Duncan's Landing (CA-SON-348/H). In addition, we present {sup 14}C ages

  9. Project Reports for Little Traverse Bay Bands of Odawa Indians- 2005 Project

    Energy.gov [DOE]

    The Little Traverse Bay Bands of Odawa Indians is located in the northern part of lower Michigan on approximately 590 acres of land. The tribe originally had no consistent vision or strategic plan concerning its energy use. This project had three objectives. The first objective was to produce a comprehensive energy plan for the tribe. The second objective was to create an energy organization and tribal energy code. The third objective was to increase the capacity of the tribe for better understanding (through active tribal participation), capability, knowledge and awareness of energy issues through bimonthly articles in the tribal newsletter and two energy workshops. The vision, strategic plan, and code will provide the focus, direction and guidelines as the tribe seeks to develop renewable energy and energy efficiency.

  10. Zero Emission Bay Area (ZEBA) Fuel Cell Bus Demonstration Results: Third Report

    SciTech Connect

    Eudy, L.; Post, M.

    2014-05-01

    This report presents results of a demonstration of 12 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. NREL has published two previous reports, in August 2011 and July 2012, describing operation of these buses. New results in this report provide an update covering eight months through October 2013.

  11. Top-down methane emissions estimates for the San Francisco Bay Area from 1990 to 2012

    SciTech Connect

    Fairley, David; Fischer, Marc L.

    2015-01-30

    Methane is a potent greenhouse gas (GHG) that is now included in both California State and San Francisco Bay Area (SFBA) bottom-up emission inventories as part of California's effort to reduce anthropogenic GHG emissions. Here we provide a top-down estimate of methane (CH4) emissions from the SFBA by combining atmospheric measurements with the comparatively better estimated emission inventory for carbon monoxide (CO). Local enhancements of CH4 and CO are estimated using measurements from 14 air quality sites in the SFBA combined together with global background measurements. Mean annual CH4 emissions are estimated from the product of Bay Area Air Quality Management District (BAAQMD) emission inventory CO and the slope of ambient local CH4 to CO. The resulting top-down estimates of CH4 emissions are found to decrease slightly from 1990 to 2012, with a mean value of 240 ± 60 GgCH4 yr⁻¹ (at 95% confidence) in the most recent (2009–2012) period, and correspond to reasonably a constant factor of 1.5–2.0 (at 95% confidence) times larger than the BAAQMD CH4 emission inventory. However, we note that uncertainty in these emission estimates is dominated by the variation in CH4:CO enhancement ratios across the observing sites and we expect the estimates could represent a lower-limit on CH4 emissions because BAAQMD monitoring sites focus on urban air quality and may be biased toward CO rather than CH4 sources.

  12. Top-down methane emissions estimates for the San Francisco Bay Area from 1990 to 2012

    DOE PAGES [OSTI]

    Fairley, David; Fischer, Marc L.

    2015-01-30

    Methane is a potent greenhouse gas (GHG) that is now included in both California State and San Francisco Bay Area (SFBA) bottom-up emission inventories as part of California's effort to reduce anthropogenic GHG emissions. Here we provide a top-down estimate of methane (CH4) emissions from the SFBA by combining atmospheric measurements with the comparatively better estimated emission inventory for carbon monoxide (CO). Local enhancements of CH4 and CO are estimated using measurements from 14 air quality sites in the SFBA combined together with global background measurements. Mean annual CH4 emissions are estimated from the product of Bay Area Air Qualitymore » Management District (BAAQMD) emission inventory CO and the slope of ambient local CH4 to CO. The resulting top-down estimates of CH4 emissions are found to decrease slightly from 1990 to 2012, with a mean value of 240 ± 60 GgCH4 yr⁻¹ (at 95% confidence) in the most recent (2009–2012) period, and correspond to reasonably a constant factor of 1.5–2.0 (at 95% confidence) times larger than the BAAQMD CH4 emission inventory. However, we note that uncertainty in these emission estimates is dominated by the variation in CH4:CO enhancement ratios across the observing sites and we expect the estimates could represent a lower-limit on CH4 emissions because BAAQMD monitoring sites focus on urban air quality and may be biased toward CO rather than CH4 sources.« less

  13. Some environmental and social impacts of the James Bay hydroelectric project, Canada

    SciTech Connect

    Berkes, F.

    1981-03-01

    The construction of the James Bay hydroelectric power project in subarctic Canada started in 1972, but environmental information that would permit mitigation measures did not become available until about 1975. It is suggested that this pattern may be characteristic of large-scale development projects in remote areas where the time lags involved in obtaining environmental data, beyond the simply descriptive information, are such that engineering plans would proceed, for economic reasons, without such environmental data as a planning input. Some environmental and social impact case studies are presented in this paper with regard to the LaGrande Complex phase of the James Bay development. The environmental impact case study involves the subsystem of estuarine fisheries and the effect on it of changes in the flow regime of the LaGrande River, the relocation of the first dam (LG-1) on the LaGrande, saltwater encroachment up the river during the filling of the second dam (LG-2), and the changes in the thermal regime of the river. The social impact case study examines the effect of the road network associated with the hydro development, on the land tenure system of the native Cree Indians of the area. The behavior of developers, as they optimize their engineering plans over the years to develop as much power as is feasible, is contrasted with the behavior of the organizations representing the native peopleof the area, first opposing the project but later giving up the aboriginal title to the land in exchange for some legally recognized rights, and subsequently making additional concessions from their established rights in exchange for various community benefits. It is argued that this process has been resulting in an incremental erosion of the land and resource base of the Cree Indian people.

  14. Accumulation of Pb and Cu heavy metals in sea water, sediment, and leaf and root tissue of Enhalus sp. in the seagrass bed of Banten Bay

    SciTech Connect

    Fauziah, Faiza Choesin, Devi N.

    2014-03-24

    Banten Bay in Indonesia is a coastal area which has been highly affected by human activity. Previous studies have reported the presence of lead (Pb) and copper (Cu) heavy metals in the seawater of this area. This study was conducted to measure the accumulation of Pb and Cu in seawater, sediment, leaf tissue, and root tissue of the seagrass species Enhalus sp. Sampling was conducted at two observation stations in Banten Bay: Station 1 (St.1) was located closer to the coastline and to industrial plants as source of pollution, while Station 2 (St.2) was located farther away offshore. At each station, three sampling points were established by random sampling. Field sampling was conducted at two different dates, i.e., on 29 May 2012 and 30 June 2012. Samples were processed by wet ashing using concentrated HNO{sub 3} acid and measured using Atomic Absorption Spectrometry (AAS). Accumulation of Pb was only detected in sediment samples in St.1, while Cu was detected in all samples. Average concentrations of Cu in May were as follows: sediment St.1 = 0.731 ppm, sediment St.2 = 0.383 ppm, seawater St.1 = 0.163 ppm, seawater St.2 = 0.174 ppm, leaf St.1 = 0.102 ppm, leaf St.2 = 0.132 ppm, root St.1= 0.139 ppm, and root St.2 = 0.075 ppm. Average measurements of Cu in June were: sediment St.1 = 0.260 ppm, leaf St.1 = 0.335 ppm, leaf St.2 = 0.301 ppm, root St.1= 0.047 ppm, and root St.2 = 0.060 ppm. In June, Cu was undetected in St.2 sediment and seawater at both stations. In May, Cu concentration in seawater exceeded the maximum allowable threshold for water as determined by the Ministry of the Environment. Spatial and temporal variation in Pb and Cu accumulation were most probably affected by distance from source and physical conditions of the environment (e.g., water current and mixing)

  15. 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

    Robert Hunter; Shirish Patil; Robert Casavant; Tim Collett

    2003-06-02

    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.

  16. Bay-annulated indigo (BAI) as an excellent electron accepting building block for high performance organic semiconductors

    DOEpatents

    Liu, Yi; He, Bo; Pun, Andrew

    2016-04-19

    A novel electron acceptor based on bay-annulated indigo (BAI) was synthesized and used for the preparation of a series of high performance donor-acceptor small molecules and polymers. The resulting materials possess low-lying LUMO energy level and small HOMO-LUMO gaps, while their films exhibited high crystallinity upon thermal treatment, commensurate with high field effect mobilities and ambipolar transfer characteristics.

  17. Bay-annulated indigo (BAI) as an excellent electron accepting building block for high performance organic semiconductors

    DOEpatents

    Liu, Yi; He, Bo; Pun, Andrew

    2015-11-24

    A novel electron acceptor based on bay-annulated indigo (BAI) was synthesized and used for the preparation of a series of high performance donor-acceptor small molecules and polymers. The resulting materials possess low-lying LUMO energy level and small HOMO-LUMO gaps, while their films exhibited high crystallinity upon thermal treatment, commensurate with high field effect mobilities and ambipolar transfer characteristics.

  18. Evolution of Florida Bay islands from a supratidal precursor: evidence from westernmost Bob Allen Key and Sid Key

    SciTech Connect

    Quinn, T.M.; Merriam, D.F.

    1988-05-01

    Cores from the interior portions of westernmost Bob Allen Key and Sid Key document island nucleation from a supratidal precursor developed on a paralic peat deposit; whereas cores from exterior portions of these islands document development of marine mudbanks, progradation or colonization by mangroves, and supratidal sedimentation. The supratidal precursor beneath these islands consists of eroded remnants of coastal tidal flats or local topographic highs that remained supratidal throughout the Holocene sea-level rise. Sedimentologic and biostratigraphic evidence suggest erosion of mangroves by storms or inundation of mangroves by storm deposits is a common precursor to subsequent sediment aggradation on both islands. If other Florida Bay islands develop from mangrove colonization of marine mudbanks, then data from westernmost Bob Allen Key and Sid Key indicate that nucleation from a supratidal precursor and mangrove colonization of marine mudbanks are both viable mechanisms for island initiation. The absence of evidence of a supratidal nucleus beneath an island can result from (a) island migration and subsequent erosion or (b) insufficient sampling density. Stratigraphic data from Florida Bay are insufficient to discriminate between the relative importance of these two models of island evolution; the authors contend that any model of the evolution of Florida Bay islands must incorporate island nucleation from a supratidal precursor as a viable mechanism for island evolution.

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

    SciTech Connect

    Cross, David; Waite, Ian

    1988-06-01

    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.

  20. New measurement of antineutrino oscillation with the full detector configuration at Daya Bay

    DOE PAGES [OSTI]

    An, F. P.; Balantekin, A. B.; Band, H. R.; Bishai, M.; Blyth, S.; Butorov, I.; Cao, G. F.; Cao, J.; Cen, W. R.; Chan, Y. L.; et al

    2015-09-11

    We report a new measurement of electron antineutrino disappearance using the fully constructed Daya Bay Reactor Neutrino Experiment. The final two of eight antineutrino detectors were installed in the summer of 2012. Including the 404 days of data collected from October 2012 to November 2013 resulted in a total exposure of 6.9×105 GWth ton days, a 3.6 times increase over our previous results. Improvements in energy calibration limited variations between detectors to 0.2%. Removal of six 241Am- 13C radioactive calibration sources reduced the background by a factor of 2 for the detectors in the experimental hall furthest from the reactors.more » Direct prediction of the antineutrino signal in the far detectors based on the measurements in the near detectors explicitly minimized the dependence of the measurement on models of reactor antineutrino emission. The uncertainties in our estimates of 2sin2θ13 and |Δm2ee| were halved as a result of these improvements. An analysis of the relative antineutrino rates and energy spectra between detectors gave 2sin2θ13=0.084±0.005 and |Δm2ee|=(2.42±0.11)×10–3 eV2 in the three-neutrino framework.« less

  1. New measurement of θ13 via neutron capture on hydrogen at Daya Bay

    DOE PAGES [OSTI]

    F. P. An

    2016-04-21

    This article reports an improved independent measurement of neutrino mixing angle θ13 at the Daya Bay Reactor Neutrino Experiment. Electron antineutrinos were identified by inverse β-decays with the emitted neutron captured by hydrogen, yielding a data set with principally distinct uncertainties from that with neutrons captured by gadolinium. With the final two of eight antineutrino detectors installed, this study used 621 days of data including the previously reported 217-day data set with six detectors. The dominant statistical uncertainty was reduced by 49%. Intensive studies of the cosmogenic muon-induced 9Li and fast neutron backgrounds and the neutron-capture energy selection efficiency, resultedmore » in a reduction of the systematic uncertainty by 26%. The deficit in the detected number of antineutrinos at the far detectors relative to the expected number based on the near detectors yielded sin22θ13 = 0.071 ± 0.011 in the three-neutrino-oscillation framework. As a result, the combination of this result with the gadolinium-capture result is also reported.« less

  2. Modeling and forecasting the distribution of Vibrio vulnificus in Chesapeake Bay

    SciTech Connect

    Jacobs, John M.; Rhodes, M.; Brown, C. W.; Hood, Raleigh R.; Leight, A.; Long, Wen; Wood, R.

    2014-11-01

    The aim is to construct statistical models to predict the presence, abundance and potential virulence of Vibrio vulnificus in surface waters. A variety of statistical techniques were used in concert to identify water quality parameters associated with V. vulnificus presence, abundance and virulence markers in the interest of developing strong predictive models for use in regional oceanographic modeling systems. A suite of models are provided to represent the best model fit and alternatives using environmental variables that allow them to be put to immediate use in current ecological forecasting efforts. Conclusions: Environmental parameters such as temperature, salinity and turbidity are capable of accurately predicting abundance and distribution of V. vulnificus in Chesapeake Bay. Forcing these empirical models with output from ocean modeling systems allows for spatially explicit forecasts for up to 48 h in the future. This study uses one of the largest data sets compiled to model Vibrio in an estuary, enhances our understanding of environmental correlates with abundance, distribution and presence of potentially virulent strains and offers a method to forecast these pathogens that may be replicated in other regions.

  3. Investigation of Spatial Variation of Sea States Offshore of Humboldt Bay CA Using a Hindcast Model.

    SciTech Connect

    Dallman, Ann Renee; Neary, Vincent Sinclair

    2014-10-01

    Spatial variability of sea states is an important consideration when performing wave resource assessments and wave resource characterization studies for wave energy converter (WEC) test sites and commercial WEC deployments. This report examines the spatial variation of sea states offshore of Humboldt Bay, CA, using the wave model SWAN . The effect of depth and shoaling on bulk wave parameters is well resolved using the model SWAN with a 200 m grid. At this site, the degree of spatial variation of these bulk wave parameters, with shoaling generally perpendicular to the depth contours, is found to depend on the season. The variation in wave height , for example, was higher in the summer due to the wind and wave sheltering from the protruding land on the coastline north of the model domain. Ho wever, the spatial variation within an area of a potential Tier 1 WEC test site at 45 m depth and 1 square nautical mile is almost negligible; at most about 0.1 m in both winter and summer. The six wave characterization parameters recommended by the IEC 6 2600 - 101 TS were compared at several points along a line perpendicular to shore from the WEC test site . As expected, these parameters varied based on depth , but showed very similar seasonal trends.

  4. Updated User's Guide for Sammy: Multilevel R-Matrix Fits to Neutron Data Using Bayes' Equations

    SciTech Connect

    Larson, Nancy M

    2008-10-01

    In 1980 the multilevel multichannel R-matrix code SAMMY was released for use in analysis of neutron-induced cross section data at the Oak Ridge Electron Linear Accelerator. Since that time, SAMMY has evolved to the point where it is now in use around the world for analysis of many different types of data. SAMMY is not limited to incident neutrons but can also be used for incident protons, alpha particles, or other charged particles; likewise, Coulomb exit hannels can be included. Corrections for a wide variety of experimental conditions are available in the code: Doppler and resolution broadening, multiple-scattering corrections for capture or reaction yields, normalizations and backgrounds, to name but a few. The fitting procedure is Bayes' method, and data and parameter covariance matrices are properly treated within the code. Pre- and post-processing capabilities are also available, including (but not limited to) connections with the Evaluated Nuclear Data Files. Though originally designed for use in the resolved resonance region, SAMMY also includes a treatment for data analysis in the unresolved resonance region.

  5. Risk assessment for produced water discharges to Louisiana open bays. Final report

    SciTech Connect

    Meinhold, A.F.; DePhillips, M.P.; Holtzman, S.

    1996-03-22

    The US Department of Energy (USDOE) has a program of research in the environmental aspects of oil and gas extraction. This sampling project will characterize the environmental impacts associated with the discharge of naturally occurring radioactive materials (NORM), metals and organics in produced water. This report is part of a series of studies of the health and ecological risks from discharges of produced water to the Gulf of Mexico, supported by the USDOE. These assessments are being coordinated with the field study, using the collected data to perform human health and ecological risk assessments. These assessments will provide input to regulators in the development of guidelines and permits, and to industry in the development and use of appropriate discharge practices. The initial human health and ecological risk assessments consist of conservative screening analyses meant to identify potentially important contaminants, and to eliminate others from further consideration. More quantitative assessments were done for contaminants identified, in the screening analysis, as being of potential concern. Section 2 gives an overview of human health and ecological risk assessment to help put the analyses presented here in perspective. Section 3 provides the hazard assessment portion of the risk assessment, and identifies the important receptors and pathways of concern. Section 3 also outlines the approach taken to the risk assessments presented in the rest of the report. The remaining sections (4 through 9) present the human health and ecological risk assessments for discharges of produced water to open bays in Louisiana.

  6. Final Report: Risk assessment for produced water discharges to Louisiana open bays

    SciTech Connect

    Meinhold, A.F.; DePhillips, M.P.; Holtzman, S.

    1996-03-01

    Potential human health and environmental impacts from discharges of produced water to the Gulf of Mexico are of concern to regulators at the State and Federal levels, the public, environmental interest groups and industry. Current and proposed regulations require a zero discharge limit for coastal facilities, based primarily on studies in low energy, poorly flushed environments. However, produced water discharges in coastal Louisiana include a number of open bay sites, where potential human health and environmental impacts are likely to be smaller than those demonstrated for low energy canal environments, but greater than the minimal impacts associated with offshore discharges. Additional data and assessments are needed to support risk managers at the State and Federal levels in the development of regulations that protect human health and the environment without unnecessary cost to the economic welfare of the region and the nation. This project supports the Natural Gas and Oil Initiative objectives to: (1) improve coordination on environmental research; (2) streamline State and Federal regulation; (3) enhance State, and Federal regulatory decision making capability; (4) enhance dialogue through industry/government/public partnerships; and (5) work with States and Native American Tribes.

  7. Measurement of the reactor antineutrino flux and spectrum at Daya Bay

    DOE PAGES [OSTI]

    D. E. Jaffe; Bishai, M; Diwan, M.; Gill, R.; Hackenburg, R. W.; Hans, S.; Hu, L. M.; Jaffe, D. E.; Kettell, S. H.; Tang, W.; et al

    2016-02-12

    This Letter reports a measurement of the flux and energy spectrum of electron antineutrinos from six 2.9~GWth nuclear reactors with six detectors deployed in two near (effective baselines 512~m and 561~m) and one far (1,579 m) underground experimental halls in the Daya Bay experiment. Using 217 days of data, 296,721 and 41,589 inverse beta decay (IBD) candidates were detected in the near and far halls, respectively. The measured IBD yield is (1.55 ± 0.04) × 10–18 cm2/GW/day or (5.92 ± 0.14) × 10–43 cm2/fission. This flux measurement is consistent with previous short-baseline reactor antineutrino experiments and is 0.946 ± 0.022more » (0.991 ± 0.023) relative to the flux predicted with the Huber+Mueller (ILL+Vogel) fissile antineutrino model. The measured IBD positron energy spectrum deviates from both spectral predictions by more than 2σ over the full energy range with a local significance of up to ~4σ between 4-6 MeV. Furthermore, a reactor antineutrino spectrum of IBD reactions is extracted from the measured positron energy spectrum for model-independent predictions.« less

  8. New measurement of antineutrino oscillation with the full detector configuration at Daya Bay

    SciTech Connect

    An, F. P.; Balantekin, A. B.; Band, H. R.; Bishai, M.; Blyth, S.; Butorov, I.; Cao, G. F.; Cao, J.; Cen, W. R.; Chan, Y. L.; Chang, J. F.; Chang, L. C.; Chang, Y.; Chen, H. S.; Chen, Q. Y.; Chen, S. M.; Chen, Y. X.; Chen, Y.; Cheng, J. H.; Cheng, J.; Cheng, Y. P.; Cherwinka, J. J.; Chu, M. C.; Cummings, J. P.; de Arcos, J.; Deng, Z. Y.; Ding, X. F.; Ding, Y. Y.; Diwan, M. V.; Draeger, E.; Dwyer, D. A.; Edwards, W. R.; Ely, S. R.; Gill, R.; Gonchar, M.; Gong, G. H.; Gong, H.; Grassi, M.; Gu, W. Q.; Guan, M. Y.; Guo, L.; Guo, X. H.; Hackenburg, R. W.; Han, R.; Hans, S.; He, M.; Heeger, K. M.; Heng, Y. K.; Higuera, A.; Hor, Y. K.; Hsiung, Y. B.; Hu, B. Z.; Hu, L. M.; Hu, L. J.; Hu, T.; Hu, W.; Huang, E. C.; Huang, H. X.; Huang, X. T.; Huber, P.; Hussain, G.; Jaffe, D. E.; Jaffke, P.; Jen, K. L.; Jetter, S.; Ji, X. P.; Ji, X. L.; Jiao, J. B.; Johnson, R. A.; Kang, L.; Kettell, S. H.; Kramer, M.; Kwan, K. K.; Kwok, M. W.; Kwok, T.; Langford, T. J.; Lau, K.; Lebanowski, L.; Lee, J.; Lei, R. T.; Leitner, R.; Leung, K. Y.; Leung, J. K. C.; Lewis, C. A.; Li, D. J.; Li, F.; Li, G. S.; Li, Q. J.; Li, S. C.; Li, W. D.; Li, X. N.; Li, X. Q.; Li, Y. F.; Li, Z. B.; Liang, H.; Lin, C. J.; Lin, G. L.; Lin, P. Y.; Lin, S. K.; Ling, J. J.; Link, J. M.; Littenberg, L.; Littlejohn, B. R.; Liu, D. W.; Liu, H.; Liu, J. L.; Liu, J. C.; Liu, S. S.; Lu, C.; Lu, H. Q.; Lu, J. S.; Luk, K. B.; Ma, Q. M.; Ma, X. Y.; Ma, X. B.; Ma, Y. Q.; Martinez Caicedo, D. A.; McDonald, K. T.; McKeown, R. D.; Meng, Y.; Mitchell, I.; Monari Kebwaro, J.; Nakajima, Y.; Napolitano, J.; Naumov, D.; Naumova, E.; Ngai, H. Y.; Ning, Z.; Ochoa-Ricoux, J. P.; Olshevski, A.; Park, J.; Patton, S.; Pec, V.; Peng, J. C.; Piilonen, L. E.; Pinsky, L.; Pun, C. S. J.; Qi, F. Z.; Qi, M.; Qian, X.; Raper, N.; Ren, B.; Ren, J.; Rosero, R.; Roskovec, B.; Ruan, X. C.; Shao, B. B.; Steiner, H.; Sun, G. X.; Sun, J. L.; Tang, W.; Taychenachev, D.; Themann, H.; Tsang, K. V.; Tull, C. E.; Tung, Y. C.; Viaux, N.; Viren, B.; Vorobel, V.; Wang, C. H.; Wang, M.; Wang, N. Y.; Wang, R. G.; Wang, W.; Wang, W. W.; Wang, X.; Wang, Y. F.; Wang, Z.; Wang, Z.; Wang, Z. M.; Wei, H. Y.; Wen, L. J.; Whisnant, K.; White, C. G.; Whitehead, L.; Wise, T.; Wong, H. L. H.; Wong, S. C. F.; Worcester, E.; Wu, Q.; Xia, D. M.; Xia, J. K.; Xia, X.; Xing, Z. Z.; Xu, J. Y.; Xu, J. L.; Xu, J.; Xu, Y.; Xue, T.; Yan, J.; Yang, C. G.; Yang, L.; Yang, M. S.; Yang, M. T.; Ye, M.; Yeh, M.; Yeh, Y. S.; Young, B. L.; Yu, G. Y.; Yu, Z. Y.; Zang, S. L.; Zhan, L.; Zhang, C.; Zhang, H. H.; Zhang, J. W.; Zhang, Q. M.; Zhang, Y. M.; Zhang, Y. X.; Zhang, Y. M.; Zhang, Z. J.; Zhang, Z. Y.; Zhang, Z. P.; Zhao, J.; Zhao, Q. W.; Zhao, Y. F.; Zhao, Y. B.; Zheng, L.; Zhong, W. L.; Zhou, L.; Zhou, N.; Zhuang, H. L.; Zou, J. H.

    2015-09-11

    We report a new measurement of electron antineutrino disappearance using the fully constructed Daya Bay Reactor Neutrino Experiment. The final two of eight antineutrino detectors were installed in the summer of 2012. Including the 404 days of data collected from October 2012 to November 2013 resulted in a total exposure of 6.9105 GWth ton days, a 3.6 times increase over our previous results. Improvements in energy calibration limited variations between detectors to 0.2%. Removal of six 241Am- 13C radioactive calibration sources reduced the background by a factor of 2 for the detectors in the experimental hall furthest from the reactors. Direct prediction of the antineutrino signal in the far detectors based on the measurements in the near detectors explicitly minimized the dependence of the measurement on models of reactor antineutrino emission. The uncertainties in our estimates of 2sin2?13 and |?m2ee| were halved as a result of these improvements. An analysis of the relative antineutrino rates and energy spectra between detectors gave 2sin2?13=0.0840.005 and |?m2ee|=(2.420.11)103 eV2 in the three-neutrino framework.

  9. Methodology for determining the intent of a limited nuclear attack. Master's thesis

    SciTech Connect

    Bivins, R.L.

    1987-05-01

    The purpose of this study was to develop a methodology for determining the intent of a limited nuclear attack. An investigation of possible methodologies for determining intent lead to research in Bayesian analysis. It was thought that the answer to intent could be found by taking prior beliefs of the decision maker and then using the Bayes Theorem to update those beliefs with ground-bases radar information obtained over time. Unfortunately, the use of Bayesian analysis as proposed here did not prove to be robust when the radar information is inaccurate. The reason for the inability of the proposed methodology to perform under the inaccurate radar parameters is that ignores too many of the complicating issues in determining intent.

  10. Sedimentologic succession of uplifted coral community, Urvina Bay, Isabela Island, Galapagos Archipelago, Ecuador

    SciTech Connect

    Colgan, M.W.; Hollander, D.

    1987-05-01

    In March 1954, along the west-central coast of Isabela Island, an upward movement of magma suddenly raised Urvina Bay over 6 m and exposed several square kilometers of carbonate deposits covering a young aa lava flow (around 1000 years old). Results from 6 transect lines across the uplift, 30 cores, and 10 trenches describe the sedimentologic and ecologic transition from barren basalt to diverse carbonate sediments with small coral reefs. Along horizontal transects spanning from 0 to 7 m paleowater depth, there is a seaward progression from beaches, mangroves, and basalt to thick deposits (> 1.6 m) of carbonate sands and small coral reefs. Variation in water depth, degree of wave exposure, and irregularity of the aa lava topography provided many microhabitats where coral, calcareous algae, and mollusks settled and grew. Eight hermatypic coral species are found throughout the shelf, and three species (i.e., Pavona clavus, Pocillopora damicornis, and Porites lobata) produced five small, isolated, monospecific, coral-reef frameworks. The vertical section seen in cores and trenches shows that calcium carbonate increased upward, whereas volcanic sediments decreased; however, episodic layers occur with high concentrations of basaltic sands. In vertical samples from the central portion of the shelf, the coral population changed from small, isolated colonies of Psammocora (Plesioseris) superficalis near the basalt basement to large reef-forming colonies of Pocillopora damicornis farther upsection. Reefs of the Galapagos Islands are small and less diverse than most Pacific reefs. Nonetheless, understanding their temporal successional development should throw light on the origin and history of larger oceanic reefs in the Pacific.

  11. Emission Changes Resulting from the San Pedro Bay, California Ports Truck Retirement Program

    SciTech Connect

    Bishop, G. A.; Schuchmann, B. G.; Stedman, D. H.; Lawson, D. R.

    2012-01-03

    Recent U.S. Environmental Protection Agency emissions regulations have resulted in lower emissions of particulate matter and oxides of nitrogen from heavy-duty diesel trucks. To accelerate fleet turnover the State of California in 2008 along with the Ports of Los Angeles and Long Beach (San Pedro Bay Ports) in 2006 passed regulations establishing timelines forcing the retirement of older diesel trucks. On-road emissions measurements of heavy-duty diesel trucks were collected over a three-year period, beginning in 2008, at a Port of Los Angeles location and an inland weigh station on the Riverside freeway (CA SR91). At the Port location the mean fleet age decreased from 12.7 years in April of 2008 to 2.5 years in May of 2010 with significant reductions in carbon monoxide (30%), oxides of nitrogen (48%) and infrared opacity (a measure of particulate matter, 54%). We also observed a 20-fold increase in ammonia emissions as a result of new, stoichiometrically combusted, liquefied natural gas powered trucks. These results compare with changes at our inland site where the average ages were 7.9 years in April of 2008 and 8.3 years in April of 2010, with only small reductions in oxides of nitrogen (10%) being statistically significant. Both locations have experienced significant increases in nitrogen dioxide emissions from new trucks equipped with diesel particle filters; raising the mean nitrogen dioxide to oxides of nitrogen ratios from less than 10% to more than 30% at the Riverside freeway location.

  12. The effect of changes in sea surface temperature on linear growth of Porites coral in Ambon Bay

    SciTech Connect

    Corvianawatie, Corry Putri, Mutiara R.; Cahyarini, Sri Y.

    2015-09-30

    Coral is one of the most important organisms in the coral reef ecosystem. There are several factors affecting coral growth, one of them is changes in sea surface temperature (SST). The purpose of this research is to understand the influence of SST variability on the annual linear growth of Porites coral taken from Ambon Bay. The annual coral linear growth was calculated and compared to the annual SST from the Extended Reconstructed Sea Surface Temperature version 3b (ERSST v3b) model. Coral growth was calculated by using Coral X-radiograph Density System (CoralXDS) software. Coral sample X-radiographs were used as input data. Chronology was developed by calculating the coral’s annual growth bands. A pair of high and low density banding patterns observed in the coral’s X-radiograph represent one year of coral growth. The results of this study shows that Porites coral extents from 2001-2009 and had an average growth rate of 1.46 cm/year. Statistical analysis shows that the annual coral linear growth declined by 0.015 cm/year while the annual SST declined by 0.013°C/year. SST and the annual linear growth of Porites coral in the Ambon Bay is insignificantly correlated with r=0.304 (n=9, p>0.05). This indicates that annual SST variability does not significantly influence the linear growth of Porites coral from Ambon Bay. It is suggested that sedimentation load, salinity, pH or other environmental factors may affect annual linear coral growth.

  13. Temperature determination using pyrometry

    DOEpatents

    Breiland, William G.; Gurary, Alexander I.; Boguslavskiy, Vadim

    2002-01-01

    A method for determining the temperature of a surface upon which a coating is grown using optical pyrometry by correcting Kirchhoff's law for errors in the emissivity or reflectance measurements associated with the growth of the coating and subsequent changes in the surface thermal emission and heat transfer characteristics. By a calibration process that can be carried out in situ in the chamber where the coating process occurs, an error calibration parameter can be determined that allows more precise determination of the temperature of the surface using optical pyrometry systems. The calibration process needs only to be carried out when the physical characteristics of the coating chamber change.

  14. Long-term storage facility for reactor compartments in Sayda Bay - German support for utilization of nuclear submarines in Russia

    SciTech Connect

    Wolff, Dietmar; Voelzke, Holger; Weber, Wolfgang; Noack, Volker; Baeuerle, Guenther

    2007-07-01

    The German-Russian project that is part of the G8 initiative on Global Partnership Against the Spread of Weapons and Materials of Mass Destruction focuses on the speedy construction of a land-based interim storage facility for nuclear submarine reactor compartments at Sayda Bay near Murmansk. This project includes the required infrastructure facilities for long-term storage of about 150 reactor compartments for a period of about 70 years. The interim storage facility is a precondition for effective activities of decommissioning and dismantlement of almost all nuclear-powered submarines of the Russian Northern Fleet. The project also includes the establishment of a computer-assisted waste monitoring system. In addition, the project involves clearing Sayda Bay of other shipwrecks of the Russian navy. On the German side the project is carried out by the Energiewerke Nord GmbH (EWN) on behalf of the Federal Ministry of Economics and Labour (BMWi). On the Russian side the Kurchatov Institute holds the project management of the long-term interim storage facility in Sayda Bay, whilst the Nerpa Shipyard, which is about 25 km away from the storage facility, is dismantling the submarines and preparing the reactor compartments for long-term interim storage. The technical monitoring of the German part of this project, being implemented by BMWi, is the responsibility of the Federal Institute for Materials Research and Testing (BAM). This paper gives an overview of the German-Russian project and a brief description of solutions for nuclear submarine disposal in other countries. At Nerpa shipyard, being refurbished with logistic and technical support from Germany, the reactor compartments are sealed by welding, provided with biological shielding, subjected to surface treatment and conservation measures. Using floating docks, a tugboat tows the reactor compartments from Nerpa shipyard to the interim storage facility at Sayda Bay where they will be left on the on-shore concrete

  15. NEPA Determination Complete

    Energy.gov [DOE]

    DOE has determined that this proposed project is a major Federal action that may significantly affect the quality of the human environment. To comply with the National Environmental Policy Act ...

  16. Solids mass flow determination

    DOEpatents

    Macko, Joseph E.

    1981-01-01

    Method and apparatus for determining the mass flow rate of solids mixed with a transport fluid to form a flowing mixture. A temperature differential is established between the solids and fluid. The temperature of the transport fluid prior to mixing, the temperature of the solids prior to mixing, and the equilibrium temperature of the mixture are monitored and correlated in a heat balance with the heat capacities of the solids and fluid to determine the solids mass flow rate.

  17. Measuring the effectiveness of the episodic control program Spare the Air in the San Francisco Bay Area

    SciTech Connect

    Lee, T.G.; Hinman, T.T.

    1997-12-31

    Episodic control programs that ask the public to voluntarily reduce activities that pollute on days when ozone excesses are predicted are now operating in many parts of the country. The activities include driving, using consumer products that contain reactive organic compounds and lawn and garden equipment with small gasoline engines like lawn mowers and leaf blowers. The effectiveness of these programs as public education tools, their impact in changing behavior and their potential as control tools needs to be assessed. In the nine-county San Francisco Bay Area the Spare the Air program has been operating for five years. The program has a strong employer component as well as a program directed at the general public. During the 1996 ozone season, the Bay Area AQMD, in cooperation with the business community, used several methods to assess awareness and behavior change on Spare the Air days. This included telephone public opinion surveys, a pilot program that offered free transit for employees at 8 companies with measurement feedback from the companies, a telecommuting web page that measured participation, a special carpool matching program and a broad based Capture the Credit initiative by business. This paper describes these initiatives, their results and the next steps anticipated for the 1997 program.

  18. Modeling magnetic fields from a DC power cable buried beneath San Francisco Bay based on empirical measurements

    DOE PAGES [OSTI]

    Kavet, Robert; Wyman, Megan T.; Klimley, A. Peter; Carretero, Luis

    2016-02-25

    Here, the Trans Bay Cable (TBC) is a ±200-kilovolt (kV), 400 MW 85-km long High Voltage Direct Current (DC) buried transmission line linking Pittsburg, CA with San Francisco, CA (SF) beneath the San Francisco Estuary. The TBC runs parallel to the migratory route of various marine species, including green sturgeon, Chinook salmon, and steelhead trout. In July and August 2014, an extensive series of magnetic field measurements were taken using a pair of submerged Geometrics magnetometers towed behind a survey vessel in four locations in the San Francisco estuary along profiles that cross the cable’s path; these included the Sanmore » Francisco-Oakland Bay Bridge (BB), the Richmond-San Rafael Bridge (RSR), the Benicia- Martinez Bridge (Ben) and an area in San Pablo Bay (SP) in which a bridge is not present. In this paper, we apply basic formulas that ideally describe the magnetic field from a DC cable summed vectorially with the background geomagnetic field (in the absence of other sources that would perturb the ambient field) to derive characteristics of the cable that are otherwise not immediately observable. Magnetic field profiles from measurements taken along 170 survey lines were inspected visually for evidence of a distinct pattern representing the presence of the cable. Many profiles were dominated by field distortions unrelated to the cable caused by bridge structures or other submerged objects, and the cable’s contribution to the field was not detectable. BB, with 40 of the survey lines, did not yield usable data for these reasons. The unrelated anomalies could be up to 100 times greater than those from the cable. In total, discernible magnetic field profiles measured from 76 survey lines were regressed against the equations, representing eight days of measurement. The modeled field anomalies due to the cable (the difference between the maximum and minimum field along the survey line at the cable crossing) were virtually identical to the measured

  19. Green Bay TEC Meeting -- Tribal Group Summary 10-26-06

    Office of Environmental Management (EM)

    ... A document or matrix listing resolutions and legal positions ... is available online at http:www.ci.doe.govindianbk.pdf. ... The assessment will help applicants determine training ...

  20. Categorical Exclusion Determinations: Environmental Management...

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Consolidated Business Service Center Categorical Exclusion Determinations: Environmental Management Consolidated Business Service Center Categorical Exclusion Determinations issued ...

  1. Waste Determination Equivalency - 12172

    SciTech Connect

    Freeman, Rebecca D.

    2012-07-01

    The Savannah River Site (SRS) is a Department of Energy (DOE) facility encompassing approximately 800 square kilometers near Aiken, South Carolina which began operations in the 1950's with the mission to produce nuclear materials. The SRS contains fifty-one tanks (2 stabilized, 49 yet to be closed) distributed between two liquid radioactive waste storage facilities at SRS containing carbon steel underground tanks with storage capacities ranging from 2,800,000 to 4,900,000 liters. Treatment of the liquid waste from these tanks is essential both to closing older tanks and to maintaining space needed to treat the waste that is eventually vitrified or disposed of onsite. Section 3116 of the Ronald W. Reagan National Defense Authorization Act of Fiscal Year 2005 (NDAA) provides the Secretary of Energy, in consultation with the Nuclear Regulatory Commission (NRC), a methodology to determine that certain waste resulting from prior reprocessing of spent nuclear fuel are not high-level radioactive waste if it can be demonstrated that the waste meets the criteria set forth in Section 3116(a) of the NDAA. The Secretary of Energy, in consultation with the NRC, signed a determination in January 2006, pursuant to Section 3116(a) of the NDAA, for salt waste disposal at the SRS Saltstone Disposal Facility. This determination is based, in part, on the Basis for Section 3116 Determination for Salt Waste Disposal at the Savannah River Site and supporting references, a document that describes the planned methods of liquid waste treatment and the resulting waste streams. The document provides descriptions of the proposed methods for processing salt waste, dividing them into 'Interim Salt Processing' and later processing through the Salt Waste Processing Facility (SWPF). Interim Salt Processing is separated into Deliquification, Dissolution, and Adjustment (DDA) and Actinide Removal Process/Caustic Side Solvent Extraction Unit (ARP/MCU). The Waste Determination was signed by the

  2. Interim Action Determination

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Interim Action Determination Processing of Plutonium Materials from the DOE Standard 3013 Surveillance Program in H-Canyon at the Savannah River Site The Department of Energy (DOE) is preparing the Surplus Plutonium Disposition Supplemental Environmental Impact Statement (SPD SEIS, DOE/EIS-0283-S2). DOE is evaluating alternatives for disposition of non-pit plutonium that is surplus to the national security needs of the United States. Although the Deputy Secretary of Energy approved Critical

  3. NEPA Determination Form

    National Nuclear Security Administration (NNSA)

    LA NEPA COMPLIANCE DETERMINATION FORM PRID - 09P-0059 V2 Page 1 of 8 Project/Activity Title: TA-3 Substation Replacement Project PRID: 09P-0059 V2 Date: February 16, 2016 Purpose: The proposed demolition and replacement of the Los Alamos National Laboratory's (LANL) Technical Area (TA)-3 electrical power substation is needed to provide reliable and efficient electrical distribution systems with sufficient electrical capacity to support the national security missions. The electrical distribution

  4. Award Fee Determination Summary

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    2 CH2M Hill Plateau Remediation Company Contract Number: DE-AC06-08RL14788 Final Fee Determination for Base funded Performance Measures Basis of Evaluation: Completion of Performance Measures contained in Section J, Attachment J.4, Performance Evaluation and Measurement Plan, according to the identified completion criteria. Evaluation Results: FY 2012 Base Period Fee Available Fee allocated to FY 2012* Performance Measures $10,399,033.60 Incremental Fee $4,490,000.00 Provisional Fee

  5. Award Fee Determination Summary

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    1 CH2M Hill Plateau Remediation Company Contract Number: DE-AC06-08RL14788 Final Fee Determination for Base funded and American Recovery and Reinvestment Act (Recovery) funded Performance Measures Basis of Evaluation: Completion of Performance Measures contained in Section J, AttachmentJ.4, Performance Evaluation and Measurement Plan, according to the identified completion criteria. Evaluation Results: Fiscal Year 2011 (Oct 1, 2010 - Sept 30, 2011) Base Funded Fee Recovery Funded Fee Available

  6. Materials Data on BaY2O4 (SG:62) by Materials Project

    DOE Data Explorer

    Kristin Persson

    2014-11-02

    Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations

  7. Determination of radar MTF

    SciTech Connect

    Chambers, D.

    1994-11-15

    The ultimate goal of the Current Meter Array (CMA) is to be able to compare the current patterns detected with the array with radar images of the water surface. The internal wave current patterns modulate the waves on the water surface giving a detectable modulation of the radar cross-section (RCS). The function relating the RCS modulations to the current patterns is the Modulation Transfer Function (MTF). By comparing radar images directly with co-located CMA measurements the MTF can be determined. In this talk radar images and CMA measurements from a recent experiment at Loch Linnhe, Scotland, will be used to make the first direct determination of MTF for an X and S band radar at low grazing angles. The technical problems associated with comparing radar images to CMA data will be explained and the solution method discussed. The results suggest the both current and strain rate contribute equally to the radar modulation for X band. For S band, the strain rate contributes more than the current. The magnitude of the MTF and the RCS modulations are consistent with previous estimates when the wind is blowing perpendicular to the radar look direction.

  8. Categorical Exclusion Determinations: Mississippi | Department...

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    March 30, 2015 CX-013741: Categorical Exclusion Determination Statistical Analysis of ... March 30, 2015 CX-013758: Categorical Exclusion Determination Statistical Analysis of ...

  9. Core Perylene Diimide Designs via Direct Bay and Ortho (Poly)trifluoromethylation: Synthesis, Isolation, X-ray Structures, Optical and Electronic Properties

    SciTech Connect

    Clikeman, Tyler T.; Bukovsky, Eric V.; Wang, Xue B.; Chen, Yu-Sheng; Rumbles, Garry; Strauss, Steven H.; Boltalina, Olga V.

    2015-10-01

    We developed an efficient solvent- and catalyst-free direct polytrifluoromethylation of solid perylene-3,4,9,10-tetracarboxylic dianhydride that produced a new family of (poly)perfluoroalkyl bay and ortho substituted PDIs with two different imide substituents. Direct hydrogen substitution with CN group led to the synthesis of a cyanated perfluoroalkyl PDI derivative for the first time. Absorption, steady-state and time-resolved emission, X-ray diffraction, electrochemical, and gas-phase electron affinity data allowed for systematic studies of substitution effects at bay, ortho, and imide positions in the new PDIs. Solid-state packing showed remarkable variations in the intermolecular interactions that are important for charge transport and photophysical properties. Analysis of the electrochemical data for 143 electron poor PDIs, including newly reported compounds, revealed some general trends and peculiar effects of electron withdrawing group substitution at all three positions.

  10. Bay Ridge Gardens - Mixed Humid Affordable Multifamily Housing Deep Energy Retrofit: Annapolis, Maryland. Building America Case Study: Whole-House Solutions for Existing Homes (Fact Sheet)

    SciTech Connect

    Not Available

    2013-10-01

    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.

  11. Analysis of the Body Distribution of Absorbed Dose in the Organs of Three Species of Fish from Sepetiba Bay

    SciTech Connect

    Pereira, Wagner de S; Kelecom, Alphonse; Santos Gouvea, Rita de Cassia dos; Azevedo Py Junior, Delcy de

    2008-08-07

    The body distribution of Polonium-210 in three fishes from the Sepetiba Bay (Macrodon ancylodon, Micropogonias furnieri and Mugil curema) has been studied under the approach of the Department of Energy of the United States of America (DOE) that set the limit of absorbed dose rate in biota equal to 3.5x10{sup 3} {mu}Gy/y, and that also established the relation between dose rate (D) and radionuclide concentration (c) on a fish muscle fresh weight basis, as follows: D = 5.05 ExNxC, assuming that the radionuclide distribution is homogenous among organs. Two hypotheses were tested here, using statistical tools: 1) is the body distribution of absorbed dose homogenous among organs? and 2) is the body distribution of absorbed dose identical among studied fishes? It was concluded, as expected, that the distribution among organs is heterogeneous; but, unexpectedly, that the three fishes display identical body distribution pattern, although they belong to different trophic levels. Hence, concerning absorbed dose calculation, the statement that data distribution is homogenous must be understood merely as an approximation, at least in the case of Polonium-210.

  12. Limits on active to sterile neutrino oscillations from disappearance searches in the MINOS, Daya Bay, and Bugey-3 experiments

    DOE PAGES [OSTI]

    Adamson, P.; An, F. P.; Anghel, I.; Aurisano, A.; Balantekin, A. B.; Band, H. R.; Barr, G.; Bishai, M.; Blake, A.; Blyth, S.; et al

    2016-10-07

    Searches for a light sterile neutrino have been performed independently by the MINOS and the Daya Bay experiments using the muon (anti)neutrino and electron antineutrino disappearance channels, respectively. In this Letter, results from both experiments are combined with those from the Bugey-3 reactor neutrino experiment to constrain oscillations into light sterile neutrinos. The three experiments are sensitive to complementary regions of parameter space, enabling the combined analysis to probe regions allowed by the Liquid Scintillator Neutrino Detector (LSND) and MiniBooNE experiments in a minimally extended four-neutrino flavor framework. Here, stringent limits on sin22θμe are set over 6 orders of magnitudemore » in the sterile mass-squared splitting Δm241. The sterile-neutrino mixing phase space allowed by the LSND and MiniBooNE experiments is excluded for Δm241 < 0.8 eV2 at 95% CLs.« less

  13. Establishment of the United States Navy Mine Warfare Center of Excellence in the Corpus Christi Bay Area, Texas

    SciTech Connect

    Kosclski, J.L.; Boyer, R.; Sloger, W.

    1997-08-01

    The proposed establishment of the US Navy Mine Warfare Center of Excellence (MWCE) in the Corpus Christi Bay Area, Texas, involved the collocation of the Navy`s Mine Warfare and Mine Counter Measures assets in proximity to each other at Naval Station (NAVSTA) Ingleside and Naval Air Station (NAS) Corpus Christi, Texas. Collocation of these Navy forces would provide significant advantages in meeting mission and operational requirements. This action would improve the operational training and readiness of the forces. In addition to new construction or modifications at NAVSTA Ingleside, NAS Corpus Christi, and off-base; the establishment of offshore training and operating areas was required. When the project was first proposed in 1993, considerable concern was expressed by environmental interests, shrimpers, and state and federal resource agencies regarding the impact of the proposed training activities within Gulf waters. The Navy and Turner Collie and Braden, Inc., under contract to the Navy, conducted several technical studies and extensive coordination with concerned interests during the environmental impact statement process to identify and document the potential intensity, magnitude, and duration of impact from each proposed training activity.

  14. CX-010689: Categorical Exclusion Determination

    Energy.gov [DOE]

    Generic CX Determination for Financial Assistance Awards CX(s) Applied: Unknown Date: 07/17/2013 Location(s): Illinois Offices(s): Chicago Office

  15. CX-012200: Categorical Exclusion Determination

    Energy.gov [DOE]

    Determination of Excess Real Property CX(s) Applied: B1.36 Date: 05/01/2014 Location(s): Colorado Offices(s): Legacy Management

  16. Determination

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    ... Spectral transmission and reflection measurements were col- lected with a Varian Cary 5000 UVvisNIR spectrophotometer equipped with a DRA-2500 diffuse reflectance accessory. The ...

  17. King County Nearshore Habitat Mapping Data Report: Picnic Point to Shilshole Bay Marina

    SciTech Connect

    Woodruff, Dana L.; Farley, Paul J.; Borde, Amy B.; Southard, John A.; Thom, Ronald M.

    2000-12-31

    The objective of this study is to provide accurate, georeferenced maps of benthic habitats to assist in the siting of a new wastewater treatment plant outfall and the assessment of habitats of endangered, threatened, and economically important species. The mapping was conducted in the fall of 1999 using two complementary techniques: side-scan sonar and underwater videography. Products derived from these techniques include geographic information system (GIS) compatible polygon data of substrate type and vegetation cover, including eelgrass and kelp. Additional GIS overlays include underwater video track line data of total macroalgae, selected macroalgal species, fish, and macroinvertebrates. The combined tools of geo-referenced side-scan sonar and underwater video is a powerful technique for assessing and mapping of nearshore habitat in Puget Sound. Side-scan sonar offers the ability to map eelgrass with high spatial accuracy and resolution, and provides information on patch size, shape, and coverage. It also provides information on substrate change and location of specific targets (e.g., piers, docks, pilings, large boulders, debris piles). The addition of underwater video is a complementary tool providing both groundtruthing for the sonar and additional information on macro fauna and flora. As a groundtruthing technique, the video was able to confirm differences between substrate types, as well as detect subtle spatial changes in substrate. It also verified information related to eelgrass, including the density classification categories and the type of substrate associated with eelgrass, which could not be determined easily with side- scan sonar. Video is also a powerful tool for mapping the location of macroalgae, (including kelp and Ulva), fish and macroinvertebrates. The ability to geo-locate these resources in their functional habitat provides an added layer of information and analytical potential.

  18. Method of determining glass durability

    DOEpatents

    Jantzen, Carol Maryanne; Pickett, John Butler; Brown, Kevin George; Edwards, Thomas Barry

    1998-01-01

    A process for determining one or more leachate concentrations of one or more components of a glass composition in an aqueous solution of the glass composition by identifying the components of the glass composition, including associated oxides, determining a preliminary glass dissolution estimator, .DELTA.G.sub.p, based upon the free energies of hydration for the component reactant species, determining an accelerated glass dissolution function, .DELTA.G.sub.a, based upon the free energy associated with weak acid dissociation, .DELTA.G.sub.a.sup.WA, and accelerated matrix dissolution at high pH, .DELTA.G.sub.a.sup.SB associated with solution strong base formation, and determining a final hydration free energy, .DELTA.G.sub.f. This final hydration free energy is then used to determine leachate concentrations for elements of interest using a regression analysis and the formula log.sub.10 (N C.sub.i (g/L))=a.sub.i +b.sub.i .DELTA.G.sub.f. The present invention also includes a method to determine whether a particular glass to be produced will be homogeneous or phase separated. The present invention is also directed to methods of monitoring and controlling processes for making glass using these determinations to modify the feedstock materials until a desired glass durability and homogeneity is obtained.

  19. Method of determining glass durability

    DOEpatents

    Jantzen, C.M.; Pickett, J.B.; Brown, K.G.; Edwards, T.B.

    1998-12-08

    A process is described for determining one or more leachate concentrations of one or more components of a glass composition in an aqueous solution of the glass composition by identifying the components of the glass composition, including associated oxides, determining a preliminary glass dissolution estimator, {Delta}G{sub p}, based upon the free energies of hydration for the component reactant species, determining an accelerated glass dissolution function, {Delta}G{sub a}, based upon the free energy associated with weak acid dissociation, {Delta}G{sub a}{sup WA}, and accelerated matrix dissolution at high pH, {Delta}G{sub a}{sup SB} associated with solution strong base formation, and determining a final hydration free energy, {Delta}G{sub f}. This final hydration free energy is then used to determine leachate concentrations for elements of interest using a regression analysis and the formula log{sub 10}(N C{sub i}(g/L))=a{sub i} + b{sub i}{Delta}G{sub f}. The present invention also includes a method to determine whether a particular glass to be produced will be homogeneous or phase separated. The present invention is also directed to methods of monitoring and controlling processes for making glass using these determinations to modify the feedstock materials until a desired glass durability and homogeneity is obtained. 4 figs.

  20. Bay Ridge Gardens - Mixed Humid Affordable Multifamily Housing Deep Energy Retrofit, Annapolis, Maryland (Fact Sheet), Building America Case Study: Whole-House Solutions for Existing Homes, Building Technologies Office (BTO)

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Bay Ridge Gardens-Mixed Humid Affordable Multifamily Housing Deep Energy Retrofit Annapolis, Maryland PROJECT INFORMATION Construction: Existing Type: Apartment building: Bay Ridge Gardens Annapolis, MD www.bayridgegardens.com Size: 12 apartment units, 713 ft 2 and 909 ft 2 each Year of construction: 1970s Date completed: 2013 Climate Zone: Mixed-humid PERFORMANCE DATA Pre-retrofit annual energy use (normalized): 28.4 kilowatt-hour per square foot (kWh/ft 2 ) Post-retrofit annual energy use

  1. CX-010776: Categorical Exclusion Determination

    Energy.gov [DOE]

    Advanced Test Reactor (ATR) Primary Coolant Leak Rate Determination System Equipment Replacement CX(s) Applied: B2.2 Date: 07/24/2013 Location(s): Idaho Offices(s): Nuclear Energy

  2. CX-008905: Categorical Exclusion Determination

    Office of Energy Efficiency and Renewable Energy (EERE)

    Optimizing Accuracy of Determinations of Carbon Dioxide Storage Capacity and Permanence CX(s) Applied: A1, A9, B3.6 Date: 08/29/2012 Location(s): Wyoming Offices(s): National Energy Technology Laboratory

  3. CX-004264: Categorical Exclusion Determination

    Energy.gov [DOE]

    Phase II, Determination of Uranium in GroundwaterCX(s) Applied: B3.8Date: 09/27/2010Location(s): Richland, WashingtonOffice(s): Environmental Management, Office of River Protection-Richland Office

  4. CX-010493: Categorical Exclusion Determination

    Energy.gov [DOE]

    Determining Distribution Coefficients by Surface-Enhanced Raman Spectroscopy (SERS) CX(s) Applied: B3.6 Date: 05/14/2013 Location(s): South Carolina Offices(s): Savannah River Operations Office

  5. CX-012121: Categorical Exclusion Determination

    Office of Energy Efficiency and Renewable Energy (EERE)

    Notice of Preliminary Determination of Energy Savings for ANSI/ASHRAE/IES Standard 90.1-2013 CX(s) Applied: A6 Date: 04/25/2014 Location(s): CX: none Offices(s): Golden Field Office

  6. CX-014390: Categorical Exclusion Determination

    Energy.gov [DOE]

    National Environmental Policy Act Determination at Fermi National Accelerator Laboratory CX(s) Applied: B1.15Date: 12/03/2015 Location(s): IllinoisOffices(s): Fermi Site Office

  7. CX-000768: Categorical Exclusion Determination

    Energy.gov [DOE]

    Determining the Variability of Continuous Mercury Monitors at Low Mercury LevelsCX(s) Applied: B3.6Date: 02/07/2010Location(s): Grand Forks, North DakotaOffice(s): Fossil Energy, National Energy Technology Laboratory

  8. CX-014511: Categorical Exclusion Determination

    Energy.gov [DOE]

    Density Determination by Gas Displacement Picnometry CX(s) Applied: B3.6Date: 10/05/2015 Location(s): South CarolinaOffices(s): Savannah River Operations Office

  9. Gender determination of avian embryo

    DOEpatents

    Daum, Keith A.; Atkinson, David A.

    2002-01-01

    Disclosed is a method for gender determination of avian embryos. During the embryo incubation process, the outer hard shells of eggs are drilled and samples of allantoic fluid are removed. The allantoic fluids are directly introduced into an ion mobility spectrometer (IMS) for analysis. The resulting spectra contain the relevant marker peaks in the positive or negative mode which correlate with unique mobilities which are sex-specific. This way, the gender of the embryo can be determined.

  10. MEANS FOR DETERMINING CENTRIFUGE ALIGNMENT

    DOEpatents

    Smith, W.Q.

    1958-08-26

    An apparatus is presented for remotely determining the alignment of a centrifuge. The centrifage shaft is provided with a shoulder, upon which two followers ride, one for detecting radial movements, and one upon the shoulder face for determining the axial motion. The followers are attached to separate liquid filled bellows, and a tube connects each bellows to its respective indicating gage at a remote location. Vibrations produced by misalignment of the centrifuge shaft are transmitted to the bellows, and tbence through the tubing to the indicator gage. This apparatus is particularly useful for operation in a hot cell where the materials handled are dangerous to the operating personnel.

  11. CX-100144 Categorical Exclusion Determination | Department of...

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Exclusion Determination CX-100144 Categorical Exclusion Determination Solar and Distributed Generation as Key Elements in Meeting Vermont's Comprehensive Energy Plan...

  12. CX-007711: Categorical Exclusion Determination | Department of...

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    711: Categorical Exclusion Determination CX-007711: Categorical Exclusion Determination Solar Thermochemical Fuel Production via a Novel Low Pressure, Magnetically Stabilized, ...

  13. EA-1835: Environmental Assessment Determination | Department...

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    35: Environmental Assessment Determination EA-1835: Environmental Assessment Determination Midwest Regional Carbon Sequestration Partnership (MRCSP) Phase II Michigan Basin Project ...

  14. CX-005728: Categorical Exclusion Determination | Department of...

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    28: Categorical Exclusion Determination CX-005728: Categorical Exclusion Determination Recovery Act: Rural Electric Cooperative Geothermal Development Electric and Agriculture ...

  15. CX-100267 Categorical Exclusion Determination | Department of...

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Exclusion Determination CX-100267 Categorical Exclusion Determination Next Generation Logistics Systems for Delivering Optimal Biomass Feedstocks to Biorefining Industries in...

  16. Categorical Exclusion Determinations: Office of Electricity Delivery...

    Office of Environmental Management (EM)

    Electricity Delivery and Energy Reliability Categorical Exclusion Determinations: Office of Electricity Delivery and Energy Reliability Categorical Exclusion Determinations issued ...

  17. CX-100363 Categorical Exclusion Determination | Department of...

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Exclusion Determination CX-100363 Categorical Exclusion Determination Marine Algae Industrialization Consortium (MAGIC): Combining biofuel and high-value bioproducts to...

  18. Categorical Exclusion Determinations: North Carolina | Department...

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Carolina Categorical Exclusion Determinations: North Carolina Location Categorical Exclusion Determinations issued for actions in North Carolina. DOCUMENTS AVAILABLE FOR DOWNLOAD ...

  19. Categorical Exclusion Determinations: Civilian Radioactive Waste...

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Civilian Radioactive Waste Management Categorical Exclusion Determinations: Civilian Radioactive Waste Management Categorical Exclusion Determinations issued by Civilian ...

  20. Categorical Exclusion Determinations: West Valley Demonstration...

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Valley Demonstration Project Categorical Exclusion Determinations: West Valley Demonstration Project Categorical Exclusion Determinations issued by West Valley Demonstration ...

  1. Categorical Exclusion Determinations: Carlsbad Field Office ...

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Carlsbad Field Office Categorical Exclusion Determinations: Carlsbad Field Office Categorical Exclusion Determinations issued by Carlsbad Field Office. DOCUMENTS AVAILABLE FOR ...

  2. EA-1924: Consolidation and Relocation of Lawrence Berkeley National Laboratory (LBNL) OffSite Research Programs to a New Off-Site Location that also Allows for Future Growth, San Francisco East Bay Area, California

    Energy.gov [DOE]

    This EA will evaluate the potential environmental impacts of a proposal to consolidate and relocate LBNL research programs that are currently in leased off-site buildings at various locations around the San Francisco East Bay Area in California, to a new single location that also provides room for future growth of LBNL research programs.

  3. CX-008738: Categorical Exclusion Determination

    Office of Energy Efficiency and Renewable Energy (EERE)

    Determination of Microstructure and Chemical State Changes in Ion-Irradiated Fuels and Structural Components with a High Kinetic Energy Electron Detector – Illinois Institute of Technology CX(s) Applied: B3.6 Date: 05/22/2012 Location(s): Idaho Offices(s): Idaho Operations Office

  4. Plasma digital density determining device

    DOEpatents

    Sprott, Julien C.; Lovell, Thomas W.; Holly, Donald J.

    1976-01-01

    The density of a decaying plasma in an electrically conducting enclosure is determined by applying an excitation to the cavity formed by the enclosure and counting digitally the number of resonant frequencies traversed by the combination of the cavity and the decaying plasma.

  5. CX-002602: Categorical Exclusion Determination

    Office of Energy Efficiency and Renewable Energy (EERE)

    Determining Optimal Fuel Performance in Adapting Onsite Electrical Generation Platforms to Operate on Producer Gas from Fuels of OpportunityCX(s) Applied: A9, A11Date: 12/11/2009Location(s): Minneapolis, MinnesotaOffice(s): Energy Efficiency and Renewable Energy, National Energy Technology Laboratory

  6. CX-002600: Categorical Exclusion Determination

    Office of Energy Efficiency and Renewable Energy (EERE)

    Determining Optimal Fuel Performance in Adapting Onsite Electrical Generation Platforms to Operate on Producer Gas from Fuels of OpportunityCX(s) Applied: B3.6Date: 12/11/2009Location(s): Minneapolis, MinnesotaOffice(s): Energy Efficiency and Renewable Energy, National Energy Technology Laboratory

  7. CX-002599: Categorical Exclusion Determination

    Office of Energy Efficiency and Renewable Energy (EERE)

    Determining Optimal Fuel Performance in Adapting Onsite Electrical Generation Platforms to Operate on Producer Gas from Fuels of OpportunityCX(s) Applied: B3.6Date: 12/11/2009Location(s): Berkeley, CaliforniaOffice(s): Energy Efficiency and Renewable Energy, National Energy Technology Laboratory

  8. CX-002598: Categorical Exclusion Determination

    Energy.gov [DOE]

    Determining Optimal Fuel Performance in Adapting Onsite Electrical Generation Platforms to Operate on Producer Gas from Fuels of OpportunityCX(s) Applied: B3.6Date: 12/11/2009Location(s): Morris, MinnesotaOffice(s): Energy Efficiency and Renewable Energy, National Energy Technology Laboratory

  9. CX-002601: Categorical Exclusion Determination

    Office of Energy Efficiency and Renewable Energy (EERE)

    Determining Optimal Fuel Performance in Adapting Onsite Electrical Generation Platforms to Operate on Producer Gas from Fuels of OpportunityCX(s) Applied: B3.6Date: 12/11/2009Location(s): Fridley, MinnesotaOffice(s): Energy Efficiency and Renewable Energy, National Energy Technology Laboratory

  10. CX-100019: Categorical Exclusion Determination

    Office of Energy Efficiency and Renewable Energy (EERE)

    Determination of Rare Earths in Geothermal Brines and Evaluation of Potential Extraction Techniques CX(s) Applied: A9, B3.1, B3.6 Date: 08/18/2014 Location(s): California Offices(s): Golden Field Office Technology Office: Geothermal Technologies Award Number: DE-EE0006750

  11. CX-013440: Categorical Exclusion Determination

    Energy.gov [DOE]

    Record of Categorical Exclusion Determination to Replace Piping Header at Bryan Mound RWIS and RWIP (BM-MM-1027) CX(s) Applied: B1.3Date: 02/18/2015 Location(s): TexasOffices(s): Strategic Petroleum Reserve Field Office

  12. CX-000373: Categorical Exclusion Determination

    Energy.gov [DOE]

    Measurements of 222 Radon, 220 Radon, and Carbon Dioxide Emissions in Natural Carbon Dioxide Fields in Wyoming: Monitoring, Verification, and Analysis Techniques for Determining Gas Transport and Caprock IntegrityCX(s) Applied: A1, A9, B3.6, B3.8Date: 11/20/2009Location(s): Laramie, WyomingOffice(s): Fossil Energy, National Energy Technology Laboratory

  13. CX-011193: Categorical Exclusion Determination

    Energy.gov [DOE]

    Categorical Exclusion Determination for Indoor, Small- and Pilot-Scale Research and Development CX(s) Applied: A9, B1.7, B3.6, B3.10, B3.12, B3.15, B5.1, B5.15 Date: 08/05/2013 Location(s): California Offices(s): Berkeley Site Office

  14. CX-100558 Categorical Exclusion Determination

    Energy.gov [DOE]

    Final Determination of Coverage for Portable Air Conditioners (1904-AD02) RIN 1904-AD02 CX(s) Applied: A6 EERE-Buildings Technology Program Date: 03/03/2016 Location(s): Nationwide Office(s): Golden Field Office

  15. CX-100312 Categorical Exclusion Determination

    Energy.gov [DOE]

    Withdrawal of Proposed Determination Regarding Energy Conservation Program: Natural Draft Commercial Boilers RIN: 1904-AD01 CX(s) Applied: A5 EERE- Buildings Technology Program Date: 07/20/2015 Location(s): Nationwide Office(s): Golden Field Office

  16. CX-012693: Categorical Exclusion Determination

    Energy.gov [DOE]

    Experimental Determination and Mechanistic Modeling of Used Fuel Drying by Vacuum and Gas Circulation for Dry Cask Storage University of South Carolina CX(s) Applied: B3.6Date: 41869 Location(s): South CarolinaOffices(s): Nuclear Energy

  17. Molecular Foundry Bay Cam

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Baycam The Molecular Foundry is a Department of Energy-funded nanoscience research facility at Berkeley Lab that provides users from around the world with access to cutting-edge expertise and instrumentation in a collaborative, multidisciplinary environment. twitter instagram facebook

  18. Bay Area Industrial Partners

    Energy.gov [DOE]

    Michael Bauer, President, Chief Product Officer and Founder, Sentient Energy; Lloyd Hackel, Vice President for Advanced Technologies, Metal Improvement Corporation; and Charlie Hotz, Vice President of Research and Development, Nanosys, Inc. each presented on partnership with the National Labs.

  19. Means of determining extrusion temperatures

    DOEpatents

    McDonald, Robert E.; Canonico, Domenic A.

    1977-01-01

    In an extrusion process comprising the steps of fabricating a metal billet, heating said billet for a predetermined time and at a selected temperature to increase its plasticity and then forcing said heated billet through a small orifice to produce a desired extruded object, the improvement comprising the steps of randomly inserting a plurality of small metallic thermal tabs at different cross sectional depths in said billet as a part of said fabricating step, and examining said extruded object at each thermal tab location for determining the crystal structure at each extruded thermal tab thus revealing the maximum temperature reached during extrusion in each respective tab location section of the extruded object, whereby the thermal profile of said extruded object during extrusion may be determined.

  20. Method for determining gene knockouts

    DOEpatents

    Maranas, Costas D.; Burgard, Anthony R.; Pharkya, Priti

    2011-09-27

    A method for determining candidates for gene deletions and additions using a model of a metabolic network associated with an organism, the model includes a plurality of metabolic reactions defining metabolite relationships, the method includes selecting a bioengineering objective for the organism, selecting at least one cellular objective, forming an optimization problem that couples the at least one cellular objective with the bioengineering objective, and solving the optimization problem to yield at least one candidate.

  1. Range determination for scannerless imaging

    DOEpatents

    Muguira, Maritza Rosa; Sackos, John Theodore; Bradley, Bart Davis; Nellums, Robert

    2000-01-01

    A new method of operating a scannerless range imaging system (e.g., a scannerless laser radar) has been developed. This method is designed to compensate for nonlinear effects which appear in many real-world components. The system operates by determining the phase shift of the laser modulation, which is a physical quantity related physically to the path length between the laser source and the detector, for each pixel of an image.

  2. Method for determining gene knockouts

    DOEpatents

    Maranas, Costa D; Burgard, Anthony R; Pharkya, Priti

    2013-06-04

    A method for determining candidates for gene deletions and additions using a model of a metabolic network associated with an organism, the model includes a plurality of metabolic reactions defining metabolite relationships, the method includes selecting a bioengineering objective for the organism, selecting at least one cellular objective, forming an optimization problem that couples the at least one cellular objective with the bioengineering objective, and solving the optimization problem to yield at least one candidate.

  3. Determining sand-body geometries for waterflood reservoirs: Examples from Oklahoma

    SciTech Connect

    Kreisa, R.D.; Pinero, E. )

    1987-02-01

    Waterflood projects require an accurate knowledge of reservoir geometry and well-to-well continuity. However, sandstones with thin, multiple-pay zones can be extremely difficult to correlate with confidence. Two case studies of Pennsylvanian sandstones in Oklahoma illustrate how a model for the depositional history of such reservoirs can be an effective tool for determining reservoir continuity. In contrast, correlation criteria such as similar wireline log signatures and relative sand-body thicknesses are not reliable in many situations. In Southwest Logan field (Beaver County), 5 to 15-ft thick reservoir sands formed as shallow marine sand ridges. Their dimensions were approximated from height-to-width ratios of modern sand ridges. Then the reservoir sands were mapped using wireline logs and core data. Individual reservoir sands were approximately 1-2 km wide and stacked en echelon vertically. Thus, a line-drive waterflood pattern oriented parallel to the axes of the ridges is recommended. Tatums field (Carter County) consists of 5 to 50-ft thick sandstones deposited in various deltaic environments. Distributary channel sands have good continuity downdip, but are narrow and lenticular across depositional strike. Crevasse splay and other bay-fill sands were deposited marginal to the channels and are extremely discontinuous. This depositional model can be used to improve flood patterns for these sands, leading to improved sweep efficiency. In both examples, for effective mapping, the depositional facies models have been used to register reservoir quality and wireline log signatures.

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

    SciTech Connect

    W.C. Adams

    2011-04-01

    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).

  5. Shape Determination for Deformed Cavities

    SciTech Connect

    Lee, Lie-Quan; Akcelik, Volkan; Chen, Sheng; Ge, Lixin; Li, Zenghai; Ng, Cho; Xiao, Liling; Ko, Kwok; Ghattas, Omar; /Texas U.

    2006-10-04

    A realistic superconducting RF cavity has its shape deformed comparing to its designed shape due to the loose tolerance in the fabrication process and the frequency tuning for its accelerating mode. A PDE-constrained optimization problem is proposed to determine the deformation of the cavity. A reduce space method is used to solve the PDE-constrained optimization problem where design sensitivities were computed using a continuous adjoint approach. A proof-of-concept example is given in which the deformation parameters of a single cavity-cell with two different types of deformation were computed.

  6. SPECIAL REREVIEW FINAL DETERMINATION UNCLASSIFIED

    Office of Legacy Management (LM)

    SPECIAL REREVIEW FINAL DETERMINATION UNCLASSIFIED , ?4~0180N SctuAnr P. 0. 00x *a STATION F New YORK, N. Y. IN RLPLY RCFSRTO EID?f A- 43 MS ~-7405 eng-8 ". Subject: Contract No.H-7405 eng-8 with Metal Hydrides Incorporated. MEMORAhDUM to the Files. 1. Reference is made to basi.c communication dated 27 September 1945, Symbol No. EIDM 1%-30-b, requesting certain information with respect to the subject contract. 2. Reference pars,?-raph a. The Government committed to restore Contractor's plant

  7. Liquid chromatographic determination of water

    DOEpatents

    Fortier, Nancy E.; Fritz, James S.

    1990-11-13

    A sensitive method for the determination of water in the presence of common interferences is presented. The detection system is based on the effect of water on the equilibrium which results from the reaction aryl aldehydes, such as cinnamaldehyde and methanol in the eluent to form cinnamaldehyde dimethylacetal, plus water. This equilibrium is shifted in a catalytic atmosphere of a hydrogen ion form past column reactor. The extent of the shift and the resulting change in absorbance are proportional to the amount of water present.

  8. Liquid chromatographic determination of water

    DOEpatents

    Fortier, N.E.; Fritz, J.S.

    1990-11-13

    A sensitive method for the determination of water in the presence of common interferences is presented. The detection system is based on the effect of water on the equilibrium which results from the reaction aryl aldehydes, such as cinnamaldehyde and methanol in the eluent to form cinnamaldehyde dimethylacetal, plus water. This equilibrium is shifted in a catalytic atmosphere of a hydrogen ion form past column reactor. The extent of the shift and the resulting change in absorbance are proportional to the amount of water present. 1 fig.

  9. Crystal face temperature determination means

    DOEpatents

    Nason, D.O.; Burger, A.

    1994-11-22

    An optically transparent furnace having a detection apparatus with a pedestal enclosed in an evacuated ampule for growing a crystal thereon is disclosed. Temperature differential is provided by a source heater, a base heater and a cold finger such that material migrates from a polycrystalline source material to grow the crystal. A quartz halogen lamp projects a collimated beam onto the crystal and a reflected beam is analyzed by a double monochromator and photomultiplier detection spectrometer and the detected peak position in the reflected energy spectrum of the reflected beam is interpreted to determine surface temperature of the crystal. 3 figs.

  10. Determination of a mutational spectrum

    DOEpatents

    Thilly, William G.; Keohavong, Phouthone

    1991-01-01

    A method of resolving (physically separating) mutant DNA from nonmutant DNA and a method of defining or establishing a mutational spectrum or profile of alterations present in nucleic acid sequences from a sample to be analyzed, such as a tissue or body fluid. The present method is based on the fact that it is possible, through the use of DGGE, to separate nucleic acid sequences which differ by only a single base change and on the ability to detect the separate mutant molecules. The present invention, in another aspect, relates to a method for determining a mutational spectrum in a DNA sequence of interest present in a population of cells. The method of the present invention is useful as a diagnostic or analytical tool in forensic science in assessing environmental and/or occupational exposures to potentially genetically toxic materials (also referred to as potential mutagens); in biotechnology, particularly in the study of the relationship between the amino acid sequence of enzymes and other biologically-active proteins or protein-containing substances and their respective functions; and in determining the effects of drugs, cosmetics and other chemicals for which toxicity data must be obtained.

  11. CX-006491: Categorical Exclusion Determination | Department of...

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Categorical Exclusion Determination CX-006491: Categorical Exclusion Determination Photovoltaic Manufacturing Consortium CX(s) Applied: B3.6 Date: 09012011 Location(s): Florida...

  12. CX-007867: Categorical Exclusion Determination | Department of...

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Exclusion Determination CX-007867: Categorical Exclusion Determination Northeast Photovoltaic Regional Training Provider CX(s) Applied: A9, A11, B5.16 Date: 01272012...

  13. CX-003164: Categorical Exclusion Determination | Department of...

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Categorical Exclusion Determination CX-003164: Categorical Exclusion Determination Optimization of Biomass Production Across a Landscape CX(s) Applied: A9 Date: 07262010...

  14. CX-100635 Categorical Exclusion Determination | Department of...

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    5 Categorical Exclusion Determination CX-100635 Categorical Exclusion Determination Enabling Automation for <0.10W High-Efficiency Kerfless Wafers Manufactured in the U.S. Award ...

  15. CX-001198: Categorical Exclusion Determination | Department of...

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    98: Categorical Exclusion Determination CX-001198: Categorical Exclusion Determination Recovery Act: 1010 Avenue of the Arts - New School and Performing Arts Theater CX(s) Applied: ...

  16. CX-013565: Categorical Exclusion Determination | Department of...

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    65: Categorical Exclusion Determination CX-013565: Categorical Exclusion Determination Analytical Methods for Radiochemical Measurements CX(s) Applied: B3.6 Date: 04162015 ...

  17. Islandaire: Noncompliance Determination (2015-SE-43008) | Department...

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    8) Islandaire: Noncompliance Determination (2015-SE-43008) February 25, 2016 DOE issued a Notice of Noncompliance Determination to Islandaire, Inc. finding that the Islandaire ...

  18. CX-012557: Categorical Exclusion Determination | Department of...

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    557: Categorical Exclusion Determination CX-012557: Categorical Exclusion Determination Electrodepositon of Molybdenum, NickelMolybdenum alloy, Cesium, and Strontium CX(s) Applied: ...

  19. CX-014082: Categorical Exclusion Determination | Department of...

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    4082: Categorical Exclusion Determination CX-014082: Categorical Exclusion Determination Understanding Transient Combustion Phenomena in Low-NOx Gas Turbines CX(s) Applied: A9, ...

  20. CX-100576 Categorical Exclusion Determination | Department of...

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    6 Categorical Exclusion Determination CX-100576 Categorical Exclusion Determination Structurally Controlled Geothermal Systems in the Eastern Great Basin Extensional Regime, Utah ...

  1. CX-001199: Categorical Exclusion Determination | Department of...

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    9: Categorical Exclusion Determination CX-001199: Categorical Exclusion Determination Tennessee Energy Efficient Schools Initiative Ground Source Heat Pump Program CX(s) Applied: ...

  2. CX-000703: Categorical Exclusion Determination | Department of...

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    03: Categorical Exclusion Determination CX-000703: Categorical Exclusion Determination Maryland - Clean Energy Economic Development Initiative (CEEDI) CX(s) Applied: A1, A9, A11, ...

  3. CX-010117: Categorical Exclusion Determination | Department of...

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    10117: Categorical Exclusion Determination CX-010117: Categorical Exclusion Determination Analytical Methods for Radiochemical Measurements CX(s) Applied: B3.6 Date: 03282013 ...

  4. Islandaire: Noncompliance Determination (2015-SE-43009) | Department...

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    9) Islandaire: Noncompliance Determination (2015-SE-43009) February 25, 2016 DOE issued a Notice of Noncompliance Determination to Islandaire, Inc. finding that the Islandaire ...

  5. CX-004024: Categorical Exclusion Determination | Department of...

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    24: Categorical Exclusion Determination CX-004024: Categorical Exclusion Determination Backside Contact Multijunction Solar Cells for High Concentration Applications CX(s) Applied: ...

  6. CX-100275 Categorical Exclusion Determination | Department of...

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    75 Categorical Exclusion Determination CX-100275 Categorical Exclusion Determination High Performance Building Envelope Assemblies Award Number: DE- EE0007054, 7059, 7060 CX(s) ...

  7. CX-005689: Categorical Exclusion Determination | Department of...

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    CX-005689: Categorical Exclusion Determination Joint Inversion of Electrical and Seismic ... Determination Time-lapse Joint Inversion of Geophysical Data and its Applications ...

  8. Secretarial Determination Pursuant to USEC Privatization Act...

    Energy Saver

    or Transfer of Low-Enriched Uranium Secretarial Determination Pursuant to USEC Privatization Act for the Sale or Transfer of Low-Enriched Uranium Secretarial determination ...

  9. CX-004247: Categorical Exclusion Determination | Department of...

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Exclusion Determination CX-004247: Categorical Exclusion Determination Carolina Blue Skies Initiative CX(s) Applied: A1, B5.1 Date: 10142010 Location(s): Indian Trail,...

  10. Categorical Exclusion Determinations: Office of Energy Efficiency...

    Energy Saver

    Energy Efficiency and Renewable Energy Categorical Exclusion Determinations: Office of Energy Efficiency and Renewable Energy Categorical Exclusion Determinations issued by Energy ...

  11. CX-100421 Categorical Exclusion Determination | Department of...

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    21 Categorical Exclusion Determination CX-100421 Categorical Exclusion Determination Wastewater Treatment Plant Grant - Marion Utilities FOA Number: DE-FOA-0001479 CX(s) Applied: ...

  12. Categorical Exclusion Determinations: Pantex Site Office | Department...

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    March 18, 2015 CX-013480: Categorical Exclusion Determination Lightning Mapping Array ... December 27, 2013 CX-011714: Categorical Exclusion Determination Lightning Mapping Array ...

  13. DETERMINATION OF SPECIFIC NEUTRONIC REACTIVITY

    DOEpatents

    Dessauer, G.

    1960-05-10

    A method is given for production-line determination of the specific neutronic reactivity of such objects as individual nuclear fuel or neutron absorber elements and is notable for rapidity and apparatus simplicity. The object is incorporated in a slightly sub-critical chain fission reactive assembly having a discrete neutron source, thereby establishing a K/sub eff/ within the crucial range of 0.95 to 0.995. The range was found to afford, uniquely, flux- transient damped response in a niatter of seconds simultaneously with acceptable analytical sensitivity. The resulting neutron flux measured at a situs spaced from both object and source within the assembly serves as a calibrable indication of said reactivity.

  14. Crystal structure determination of Efavirenz

    SciTech Connect

    Popeneciu, Horea Dumitru, Ristoiu; Tripon, Carmen Borodi, Gheorghe Pop, Mihaela Maria

    2015-12-23

    Needle-shaped single crystals of the title compound, C{sub 14}H{sub 9}ClF{sub 3}NO{sub 2}, were obtained from a co-crystallization experiment of Efavirenz with maleic acid in a (1:1) ratio, using methanol as solvent. Crystal structure determination at room temperature revealed a significant anisotropy of the lattice expansion compared to the previously reported low-temperature structure. In both low- and room temperature structures the cyclopropylethynyl fragment in one of the asymmetric unit molecules is disordered. While at low-temperature only one C atom exhibits positional disorder, at room temperature the disorder is present for two C atoms of the cyclopropane ring.

  15. Crystal face temperature determination means

    DOEpatents

    Nason, Donald O.; Burger, Arnold

    1994-01-01

    An optically transparent furnace (10) having a detection apparatus (29) with a pedestal (12) enclosed in an evacuated ampule (16) for growing a crystal (14) thereon. Temperature differential is provided by a source heater (20), a base heater (24) and a cold finger (26) such that material migrates from a polycrystalline source material (18) to grow the crystal (14). A quartz halogen lamp (32) projects a collimated beam (30) onto the crystal (14) and a reflected beam (34) is analyzed by a double monochromator and photomultiplier detection spectrometer (40) and the detected peak position (48) in the reflected energy spectrum (44) of the reflected beam (34) is interpreted to determine surface temperature of the crystal (14).

  16. NEPA Determination FY16 | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    NEPA Determination FY16 NEPA Determination FY16 The document below is the State Energy Program''s NEPA Determination for Fiscal Year 2016. NEPA Determination FY16 (233.8 KB) More Documents & Publications EECBG Guidance SEP Guidance EA-1972: Final Environmental Assessment

  17. 2015 Secretarial Determination | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Secretarial Determination 2015 Secretarial Determination On May 1, 2015, the Secretary of Energy determined that continued uranium transfers for cleanup services at the Portsmouth Gaseous Diffusion Plant and for down-blending of highly-enriched uranium to low-enriched uranium will not have an adverse material impact on the domestic uranium mining, conversion, or enrichment industry ("2015 Secretarial Determination"). This Determination covers continued transfers at the rates specified

  18. Ballistic projectile trajectory determining system

    DOEpatents

    Karr, Thomas J.

    1997-01-01

    A computer controlled system determines the three-dimensional trajectory of a ballistic projectile. To initialize the system, predictions of state parameters for a ballistic projectile are received at an estimator. The estimator uses the predictions of the state parameters to estimate first trajectory characteristics of the ballistic projectile. A single stationary monocular sensor then observes the actual first trajectory characteristics of the ballistic projectile. A comparator generates an error value related to the predicted state parameters by comparing the estimated first trajectory characteristics of the ballistic projectile with the observed first trajectory characteristics of the ballistic projectile. If the error value is equal to or greater than a selected limit, the predictions of the state parameters are adjusted. New estimates for the trajectory characteristics of the ballistic projectile are made and are then compared with actual observed trajectory characteristics. This process is repeated until the error value is less than the selected limit. Once the error value is less than the selected limit, a calculator calculates trajectory characteristics such a the origin and destination of the ballistic projectile.

  19. Ballistic projectile trajectory determining system

    DOEpatents

    Karr, T.J.

    1997-05-20

    A computer controlled system determines the three-dimensional trajectory of a ballistic projectile. To initialize the system, predictions of state parameters for a ballistic projectile are received at an estimator. The estimator uses the predictions of the state parameters to estimate first trajectory characteristics of the ballistic projectile. A single stationary monocular sensor then observes the actual first trajectory characteristics of the ballistic projectile. A comparator generates an error value related to the predicted state parameters by comparing the estimated first trajectory characteristics of the ballistic projectile with the observed first trajectory characteristics of the ballistic projectile. If the error value is equal to or greater than a selected limit, the predictions of the state parameters are adjusted. New estimates for the trajectory characteristics of the ballistic projectile are made and are then compared with actual observed trajectory characteristics. This process is repeated until the error value is less than the selected limit. Once the error value is less than the selected limit, a calculator calculates trajectory characteristics such a the origin and destination of the ballistic projectile. 8 figs.

  20. Exposure of northern leopard frogs in the Green Bay ecosystem to polychlorinated biphenyls, polychlorinated dibenzo-p-dioxins, and polychlorinated dibenzofurans is measured by direct chemistry but not hepatic ethoxyresorufin-O-deethylase activity

    SciTech Connect

    Huang, Y.W.; Karasov, W.H.; Patnode, K.A.; Jefcoate, C.R.

    1999-10-01

    The authors measured concentrations of polychlorinated biphenyls (PCBs), polychlorinated dibenzo-p-dioxins (PCDDs), and polychlorinated dibenzofurans (PCDFs) in northern leopard frogs collected from the Green Bay ecosystem and explored the catalytic activity of hepatic cytochrome P450-associated monooxygenase (P450 enzyme) as a biomarker for exposure to aryl hydrocarbon receptor (AhR) agonists. The two hypotheses tested were PCH concentrations in northern leopard frogs would be positively correlated with sediment polychlorinated hydrocarbon (PCH) levels in wetland habitats along a contamination gradient and hepatic ethoxyresorufin-O-deethylase (EROD) activity of northern leopard frogs, which is presumably mediated by aryl hydrocarbon receptor (AhR), would be positively correlated with PCH concentrations in frog carcasses from different collection sites. In 1994 and 1995, frogs from seven sites along the lower Fox River and Green Bay, USA, were assayed for hepatic EROD activities and whole carcass concentrations of PCBs, PCDDs, and PCDFs. Tissue total PCB concentrations ranging from 3 to 154 ng/g were significantly correlated with sediment PCB levels. Only one PCDD and two PCDFs at concentrations of 6 to 8 pg/g were found in the frogs collected with frog body weight and was similar among sites except for Peter's Marsh. No significant correlation was found between EROD activity and carcass PCB concentration. This result was consistent with the fact that the frogs collected from the Green Bay ecosystem had relatively low PCB concentrations compared with what was required for induction in the laboratory.

  1. Categorical Exclusion Determinations: Energy Technology Engineering Center

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    | Department of Energy Energy Technology Engineering Center Categorical Exclusion Determinations: Energy Technology Engineering Center Categorical Exclusion Determinations issued by Energy Technology Engineering Center. DOCUMENTS AVAILABLE FOR DOWNLOAD No downloads found for this office.

  2. Categorical Exclusion Determinations: Health, Safety, and Security |

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Department of Energy Health, Safety, and Security Categorical Exclusion Determinations: Health, Safety, and Security Categorical Exclusion Determinations issued by Health, Safety, and Security. DOCUMENTS AVAILABLE FOR DOWNLOAD No downloads found for this office.

  3. Categorical Exclusion Determinations: Intelligence and Counterintelligence

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    | Department of Energy Intelligence and Counterintelligence Categorical Exclusion Determinations: Intelligence and Counterintelligence Categorical Exclusion Determinations issued by Intelligence and Counterintelligence. DOCUMENTS AVAILABLE FOR DOWNLOAD No downloads found for this office.

  4. Categorical Exclusion Determinations: Western Area Power Administration |

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Department of Energy Administration Categorical Exclusion Determinations: Western Area Power Administration Categorical Exclusion Determinations issued by Western Area Power Administration. DOCUMENTS AVAILABLE FOR DOWNLOAD No downloads found for this office.

  5. CX-100322 Categorical Exclusion Determination | Department of...

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Exclusion Determination CX-100322 Categorical Exclusion Determination Plug and Play Photovoltaics for American Homes Award Number: DE-EE0006035 CX(s) Applied: A9, B3.6, B5.15...

  6. CX-006929: Categorical Exclusion Determination | Department of...

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    929: Categorical Exclusion Determination CX-006929: Categorical Exclusion Determination Florida-City-Gainesville CX(s) Applied: A9, B1.32, B2.5, B5.1 Date: 09272011 Location(s): ...

  7. CX-100269 Categorical Exclusion Determination | Department of...

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    69 Categorical Exclusion Determination CX-100269 Categorical Exclusion Determination Soboba Band of Luiseo Indians Award Number: DE-EE0006950 CX(s) Applied: A9, B5.16 Tribal ...

  8. CX-100464 Categorical Exclusion Determination | Department of...

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    64 Categorical Exclusion Determination CX-100464 Categorical Exclusion Determination Blade Shipping Joint for Simple Assembly Award Number: DE-EE0007259 CX(s) Applied: A9, B3.6 ...

  9. CX-100644 Categorical Exclusion Determination | Department of...

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    4 Categorical Exclusion Determination CX-100644 Categorical Exclusion Determination San Diego Tribal Energy Collaborative Award Number: DE-IE0000043 CX(s) Applied: A9, A11 Office ...

  10. CX-001187: Categorical Exclusion Determination | Department of...

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    87: Categorical Exclusion Determination CX-001187: Categorical Exclusion Determination Recovery Act: Blaine School District Geothermal Project CX(s) Applied: A9, A11, B3.1 Date: ...

  11. CX-100193 Categorical Exclusion Determination | Department of...

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Exclusion Determination CX-100193 Categorical Exclusion Determination Installation of Solar Panels at Municipal Owned Facilities Award Number: DE-EE0003195 CX(s) Applied: B5.1...

  12. CX-100587 Categorical Exclusion Determination | Department of...

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    7 Categorical Exclusion Determination CX-100587 Categorical Exclusion Determination H2 Refuel H-Prize Selection of Finalist Award Number: NA CX(s) Applied: A9 Fuel Cells Technology ...

  13. CX-100317 Categorical Exclusion Determination | Department of...

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    7 Categorical Exclusion Determination CX-100317 Categorical Exclusion Determination Solar Hot Water Project in Greenburgh, NY Award Number: DE-EE0003193 CX(s) Applied: B5.16...

  14. Categorical Exclusion Determinations: Alaska | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Alaska Categorical Exclusion Determinations: Alaska Location Categorical Exclusion Determinations issued for actions in Alaska. DOCUMENTS AVAILABLE FOR DOWNLOAD July 20, 2016 CX-100663 Categorical Exclusion Determination Pitka's Point/Saint Mary's Wind Energy Construction Project Award Number: DE-EE0000035 CX(s) Applied: A9 Office of Indian Energy Date: 7/14/2016 Location(s): AK Office(s): Golden Field Office May 19, 2016 CX-100617 Categorical Exclusion Determination The Vacuum Sanitation Energy

  15. Categorical Exclusion Determinations: Colorado | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Colorado Categorical Exclusion Determinations: Colorado Location Categorical Exclusion Determinations issued for actions in Colorado. DOCUMENTS AVAILABLE FOR DOWNLOAD November 10, 2016 CX-100767 Categorical Exclusion Determination FTLB Architectural Maintenance Award Number: DE-AC36-08GO28308 CX(s) Applied: DOE/EA-1968 (NREL STM) National Renewable Energy Lab Date: 11/3/2016 Location(s): CO Office(s): Golden Field Office September 22, 2016 CX-100758 Categorical Exclusion Determination STM

  16. Categorical Exclusion Determinations: Connecticut | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Connecticut Categorical Exclusion Determinations: Connecticut Location Categorical Exclusion Determinations issued for actions in Connecticut. DOCUMENTS AVAILABLE FOR DOWNLOAD September 9, 2016 CX-100751 Categorical Exclusion Determination High Performance PEFC Electrode Structures Award Number: DE-EE0007652 CX(s) Applied: A9, B3.6, B3.15 Fuel Cell Technologies Office Date: 8/11/2016 Location(s): CT Office(s): Golden Field Office September 8, 2016 CX-100740 Categorical Exclusion Determination

  17. Categorical Exclusion Determinations: Environmental Management | Department

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    of Energy Categorical Exclusion Determinations: Environmental Management Categorical Exclusion Determinations issued by Environmental Management. DOCUMENTS AVAILABLE FOR DOWNLOAD October 13, 2011 CX-006923: Categorical Exclusion Determination Design and Install a Modification to the HB-Line Exhaust Fan Dampers CX(s) Applied: B2.5 Date: 10/13/2011 Location(s): Aiken, South Carolina Office(s): Environmental Management October 13, 2011 CX-006920: Categorical Exclusion Determination Install

  18. Categorical Exclusion Determinations: Hawaii | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Hawaii Categorical Exclusion Determinations: Hawaii Location Categorical Exclusion Determinations issued for actions in Hawaii. DOCUMENTS AVAILABLE FOR DOWNLOAD June 12, 2016 CX-100638 Categorical Exclusion Determination Comprehensive analysis of Hawaii's geothermal potential through Play Fairway Award Number: DE-EE0006729 CX(s) Applied: A9, B3.1 Geothermal Technologies Office Date: 6/2/2016 Location(s): HI Office(s): Golden Field Office May 2, 2016 CX-100598 Categorical Exclusion Determination

  19. Categorical Exclusion Determinations: Idaho | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Idaho Categorical Exclusion Determinations: Idaho Location Categorical Exclusion Determinations issued for actions in Idaho. DOCUMENTS AVAILABLE FOR DOWNLOAD March 2, 2016 CX-014557: Categorical Exclusion Determination Critical Infrastructure Test Range Complex (CITRC) High Frequency Test Bed Expansion CX(s) Applied: B1.15 Date: 03/02/2016 Location(s): Idaho Offices(s): Nuclear Energy March 2, 2016 CX-014558: Categorical Exclusion Determination B27-601 and B8-601 Emergency Generator Replacement

  20. Categorical Exclusion Determinations: Kansas | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Kansas Categorical Exclusion Determinations: Kansas Location Categorical Exclusion Determinations issued for actions in Kansas. DOCUMENTS AVAILABLE FOR DOWNLOAD February 26, 2015 CX-013396: Categorical Exclusion Determination Field Demonstration of Chemical Flooding of the Trembley Oilfield, Reno County, Kansas CX(s) Applied: A9, B3.6 Date: 02/26/2015 Location(s): Kansas Offices(s): National Energy Technology Laboratory January 26, 2015 CX-100179 Categorical Exclusion Determination Wind Energy

  1. Categorical Exclusion Determinations: Kentucky | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Kentucky Categorical Exclusion Determinations: Kentucky Location Categorical Exclusion Determinations issued for actions in Kentucky. DOCUMENTS AVAILABLE FOR DOWNLOAD March 4, 2016 CX-100532 Categorical Exclusion Determination 5m/W Solar/Photovoltaic Array on Abandoned Landfill #5 Award Number: DE-EE0006623 CX(s) Applied: B5.16 Solar Energy Technologies Office Date: 07/11/2014 Location(s): KY Office(s): Golden Field Office March 4, 2016 CX-100532 Categorical Exclusion Determination 5m/W

  2. Categorical Exclusion Determinations: Maine | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Maine Categorical Exclusion Determinations: Maine Location Categorical Exclusion Determinations issued for actions in Maine. DOCUMENTS AVAILABLE FOR DOWNLOAD August 26, 2016 CX-100702 Categorical Exclusion Determination High-performance Bi-Directional Inverter for Solar Plus Storage Award Number: DE-EE0007593 CX(s) Applied: A9, B3.6 Solar Energy Technologies Office Date: 8/15/2016 Location(s): ME Office(s): Golden Field Office July 24, 2015 CX-014069: Categorical Exclusion Determination

  3. Categorical Exclusion Determinations: Natural Gas Regulation | Department

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    of Energy Natural Gas Regulation Categorical Exclusion Determinations: Natural Gas Regulation Categorical Exclusion Determinations issued by Natural Gas Regulation. DOCUMENTS AVAILABLE FOR DOWNLOAD May 25, 2016 CX-200007 Categorical Exclusion Determination Cheniere Marketing, LLC CX(s) Applied: B5.7 Date: 05/25/2016 Location(s): Texas Office(s): Fossil Energy, Natural Gas Regulation May 18, 2016 CX-200008 Categorical Exclusion Determination Flint Hills Resources, LP CX(s) Applied: B5.7 Date:

  4. Categorical Exclusion Determinations: Oklahoma | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Oklahoma Categorical Exclusion Determinations: Oklahoma Location Categorical Exclusion Determinations issued for actions in Oklahoma. DOCUMENTS AVAILABLE FOR DOWNLOAD March 3, 2016 CX-014714: Categorical Exclusion Determination Chimney Hill Solar Project Interconnection with PEC and Interface with the SWPA Tupelo Switchyard CX(s) Applied: A9 Date: 03/03/2016 Location(s): Oklahoma Offices(s): Southwestern Power Administration November 20, 2015 CX-014539: Categorical Exclusion Determination Robert

  5. NREL Programmatic NEPA Determinations | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Programmatic NEPA Determinations NREL Programmatic NEPA Determinations The U.S. Department of Energy's (DOE) Office of Energy Efficiency and Renewable Energy has developed five Programmatic NEPA Determinations (PND) to address routine activities and ongoing research conducted at National Renewable Energy Laboratory (NREL) facilities. These determinations were conducted as part of a joint DOE and NREL NEPA Enhancement Project that was developed to help streamline the NEPA process for activities

  6. Record of Categorical Exclusion (CX) Determination: National...

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    National Electric Transmission Congestion Study Record of Categorical Exclusion (CX) ... More Documents & Publications Record of Categorical Exclusion (CS) Determination, Office ...

  7. A chi-square goodness-of-fit test for non-identically distributed random variables: with application to empirical Bayes

    SciTech Connect

    Conover, W.J.; Cox, D.D.; Martz, H.F.

    1997-12-01

    When using parametric empirical Bayes estimation methods for estimating the binomial or Poisson parameter, the validity of the assumed beta or gamma conjugate prior distribution is an important diagnostic consideration. Chi-square goodness-of-fit tests of the beta or gamma prior hypothesis are developed for use when the binomial sample sizes or Poisson exposure times vary. Nine examples illustrate the application of the methods, using real data from such diverse applications as the loss of feedwater flow rates in nuclear power plants, the probability of failure to run on demand and the failure rates of the high pressure coolant injection systems at US commercial boiling water reactors, the probability of failure to run on demand of emergency diesel generators in US commercial nuclear power plants, the rate of failure of aircraft air conditioners, baseball batting averages, the probability of testing positive for toxoplasmosis, and the probability of tumors in rats. The tests are easily applied in practice by means of corresponding Mathematica{reg_sign} computer programs which are provided.

  8. Categorical Exclusion Determinations: Advanced Technology Vehicles

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Manufacturing Loan Program | Department of Energy Technology Vehicles Manufacturing Loan Program Categorical Exclusion Determinations: Advanced Technology Vehicles Manufacturing Loan Program Categorical Exclusion Determinations issued by Advanced Technology Vehicles Manufacturing Loan Program. DOCUMENTS AVAILABLE FOR DOWNLOAD September 6, 2011 CX-006488: Categorical Exclusion Determination Chrysler Group LLC, Revised Specific Project Application 2, Retooling, Reequipping and Engineering

  9. Categorical Exclusion Determinations: NNSA-Proliferation Detection |

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Department of Energy Proliferation Detection Categorical Exclusion Determinations: NNSA-Proliferation Detection Categorical Exclusion Determinations issued by NNSA-Proliferation Detection. DOCUMENTS AVAILABLE FOR DOWNLOAD September 17, 2010 CX-004080: Categorical Exclusion Determination Fisk University Nonproliferation Grant CX(s) Applied: B3.6 Date: 09/17/2010 Location(s): Tennessee Office(s): NNSA-Proliferation Detection

  10. Wave Energy Converter Effects on Wave Fields: Evaluation of SNL-SWAN and Sensitivity Studies in Monterey Bay CA.

    SciTech Connect

    Roberts, Jesse D.; Chang, Grace; Magalen, Jason; Jones, Craig

    2014-09-01

    A modified version of an indust ry standard wave modeling tool was evaluated, optimized, and utilized to investigate model sensitivity to input parameters a nd wave energy converter ( WEC ) array deployment scenarios. Wave propagation was investigated d ownstream of the WECs to evaluate overall near - and far - field effects of WEC arrays. The sensitivity study illustrate d that wave direction and WEC device type we r e most sensitive to the variation in the model parameters examined in this study . Generally, the changes in wave height we re the primary alteration caused by the presence of a WEC array. Specifically, W EC device type and subsequently their size directly re sult ed in wave height variations; however, it is important to utilize ongoing laboratory studies and future field tests to determine the most appropriate power matrix values for a particular WEC device and configuration in order to improve modeling results .

  11. Categorical Exclusion Determinations | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    NEPA Documents » Categorical Exclusion Determinations Categorical Exclusion Determinations To further transparency and openness in its implementation of the NEPA process, DOE established a policy and, subsequently, requirements under the Department's NEPA regulations (10 CFR Part 1021) and NEPA Order (DOE Order 451.1B) to document and post online its categorical exclusion (CX) determinations involving classes of actions listed in Appendix B to Subpart D of 10 CFR Part 1021. Additional

  12. Categorical Exclusion Determinations: Advanced Research Projects

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Agency-Energy | Department of Energy Advanced Research Projects Agency-Energy Categorical Exclusion Determinations: Advanced Research Projects Agency-Energy Categorical Exclusion Determinations issued by Advanced Research Projects Agency-Energy. DOCUMENTS AVAILABLE FOR DOWNLOAD December 19, 2013 CX-011762: Categorical Exclusion Determination Arzeda Corp. - Design of Metalloenzymes for Methane Activation CX(s) Applied: B3.6 Date: 12/19/2013 Location(s): Washington Offices(s): Advanced

  13. Categorical Exclusion Determinations: Arizona | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Arizona Categorical Exclusion Determinations: Arizona Location Categorical Exclusion Determinations issued for actions in Arizona. DOCUMENTS AVAILABLE FOR DOWNLOAD September 9, 2016 CX-100742 Categorical Exclusion Determination A Novel Platform for Algal Biomass Production Using Cellulosic Mixotrophy Award Number: DE-EE0007562 CX(s) Applied: A9, B3.6, B5.15 Bioenergy Technologies Office Date: 8/29/2016 Location(s): AZ Office(s): Golden Field Office August 26, 2016 CX-100700 Categorical Exclusion

  14. Categorical Exclusion Determinations: Arkansas | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Arkansas Categorical Exclusion Determinations: Arkansas Location Categorical Exclusion Determinations issued for actions in Arkansas. DOCUMENTS AVAILABLE FOR DOWNLOAD September 7, 2016 CX-100719 Categorical Exclusion Determination High-Performance Self-Cleaning, Antireflective, and Anti-fog Coating for PV Glass to Increase Module Output and Decrease BOS Costs Award Number: DE-EE0007582 CX(s) Applied: A9, B3.6 Solar Energy Technologies Office Date: 8/22/2016 Location(s): AR Office(s): Golden

  15. Categorical Exclusion Determinations: California | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    California Categorical Exclusion Determinations: California Location Categorical Exclusion Determinations issued for actions in California. DOCUMENTS AVAILABLE FOR DOWNLOAD September 22, 2016 CX-100759 Categorical Exclusion Determination Accelerating Market Adoption of Best-in-class Building Technologies, the Technology Demonstration Initiative (TDI) Award Number: DE-EE0007065 CX(s) Applied: A9, A11 Buildings Technologies Office Date: 9/20/2016 Location(s): CA Office(s): Golden Field Office

  16. Categorical Exclusion Determinations: Florida | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Florida Categorical Exclusion Determinations: Florida Location Categorical Exclusion Determinations issued for actions in Florida. DOCUMENTS AVAILABLE FOR DOWNLOAD September 9, 2016 CX-100749 Categorical Exclusion Determination Improving Data Center Energy Efficiency through End-to-End Cooling Modeling and Optimization Award Number: DE-EE0007688 CX(s) Applied: A9, B5.1 Building Technologies Office Date: 8/11/2016 Location(s): FL Office(s): Golden Field Office September 7, 2016 CX-100721

  17. Categorical Exclusion Determinations: Georgia | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Georgia Categorical Exclusion Determinations: Georgia Location Categorical Exclusion Determinations issued for actions in Georgia. DOCUMENTS AVAILABLE FOR DOWNLOAD May 2, 2016 CX-100596 Categorical Exclusion Determination Energy Savings Performance Contract (ESPC) at Marine Corps Logistics Base Albany (MCLBA), GA - Biomass Steam Turbine Generator Award Number: DE-EE0007461 CX(s) Applied: A9 Federal Energy Management Program Date: 04/13/2016 Location(s): GA Office(s): Golden Field Office March 4,

  18. Categorical Exclusion Determinations: Illinois | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Illinois Categorical Exclusion Determinations: Illinois Location Categorical Exclusion Determinations issued for actions in Illinois. DOCUMENTS AVAILABLE FOR DOWNLOAD July 20, 2016 CX-100656 Categorical Exclusion Determination Improving reliability and reducing cost in CdTe photovoltaics via grain boundary engineering Award Number: DE-EE0007545 CX(s) Applied: A9, B3.6 Solar Energy Technologies Office Date: 7/12/2016 Location(s): IL Office(s): Golden Field Office April 6, 2016 CX-100589

  19. Categorical Exclusion Determinations: Indiana | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Indiana Categorical Exclusion Determinations: Indiana Location Categorical Exclusion Determinations issued for actions in Indiana. DOCUMENTS AVAILABLE FOR DOWNLOAD March 7, 2016 CX-100543 Categorical Exclusion Determination Renewable Acid-hydrolysis Condensation Hydrotreating (REACH) Pilot Plant Award Number: DE-EE0006244 CX(s) Applied: A9, B3.6 Bioenergy Technology Office Date: 07/31/2014 Location(s): IN Office(s): Golden Field Office January 12, 2016 CX-100450 Categorical Exclusion

  20. Categorical Exclusion Determinations: Iowa | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Iowa Categorical Exclusion Determinations: Iowa Location Categorical Exclusion Determinations issued for actions in Iowa. DOCUMENTS AVAILABLE FOR DOWNLOAD August 22, 2016 CX-100698 Categorical Exclusion Determination Novel Infiltration Diagnostics based on Laser-line Scanning and Infrared Temperature Field Imaging Award Number: DE-EE0007686 CX(s) Applied: A9, B3.6 Buildings Technology Office Date: 8/15/2016 Location(s): IA Office(s): Golden Field Office March 4, 2016 CX-100528 Categorical

  1. Categorical Exclusion Determinations: Lawrence Livermore Site Office |

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Department of Energy Lawrence Livermore Site Office Categorical Exclusion Determinations: Lawrence Livermore Site Office Categorical Exclusion Determinations issued by Lawrence Livermore Site Office. DOCUMENTS AVAILABLE FOR DOWNLOAD February 29, 2016 CX-014555: Categorical Exclusion Determination Livermore Site Heating, Ventilation and Air Conditioning Modernization CX(s) Applied: B1.3, B1.4, B1.11 Date: 02/29/2016 Location(s): California Offices(s): Lawrence Livermore Site Office December

  2. Categorical Exclusion Determinations: Loan Guarantee Program Office |

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Department of Energy Loan Guarantee Program Office Categorical Exclusion Determinations: Loan Guarantee Program Office Categorical Exclusion Determinations issued by Loan Guarantee Program Office. DOCUMENTS AVAILABLE FOR DOWNLOAD February 22, 2013 CX-011970: Categorical Exclusion Determination Tuscarora Phase II Geothermal Observation Wells CX(s) Applied: B3.7 Date: 02/22/2013 Location(s): Nevada Offices(s): Loan Guarantee Program Office May 29, 2012 CX-012201: Categorical Exclusion

  3. Categorical Exclusion Determinations: Louisiana | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Louisiana Categorical Exclusion Determinations: Louisiana Location Categorical Exclusion Determinations issued for actions in Louisiana. DOCUMENTS AVAILABLE FOR DOWNLOAD March 4, 2016 CX-100533 Categorical Exclusion Determination Pump Station Improvements (Transcontinental) Award Number: DE-EE0006212 CX(s) Applied: B5.1, B5.4 Weatherization & Intergovernmental Programs Office Date: 07/10/2014 Location(s): LA Office(s): Golden Field Office May 27, 2015 CX-013764: Categorical Exclusion

  4. Categorical Exclusion Determinations: Maryland | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Maryland Categorical Exclusion Determinations: Maryland Location Categorical Exclusion Determinations issued for actions in Maryland. DOCUMENTS AVAILABLE FOR DOWNLOAD September 9, 2016 CX-100748 Categorical Exclusion Determination Advanced Serpentine Heat Exchangers to Minimize the Number of Joints and Leakage in HVAC&R Systems Award Number: DE-EE0007680 CX(s) Applied: A9, B3.6 Building Technologies Office Date: 8/11/2016 Location(s): MD Office(s): Golden Field Office June 12, 2016 CX-100642

  5. Categorical Exclusion Determinations: Massachusetts | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Massachusetts Categorical Exclusion Determinations: Massachusetts Location Categorical Exclusion Determinations issued for actions in Massachusetts. DOCUMENTS AVAILABLE FOR DOWNLOAD September 8, 2016 CX-100732 Categorical Exclusion Determination Achieving Ubiquitous Solar Through Market Transformation and Grid Integration Award Number: DE-EE0007589 CX(s) Applied: A9, A11, B3.6 Solar Energy Technologies Office Date: 8/18/2016 Location(s): MA Office(s): Golden Field Office July 20, 2016 CX-100664

  6. Categorical Exclusion Determinations: Michigan | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Michigan Categorical Exclusion Determinations: Michigan Location Categorical Exclusion Determinations issued for actions in Michigan. DOCUMENTS AVAILABLE FOR DOWNLOAD October 6, 2016 CX-100761 Categorical Exclusion Determination Durable High-Power Membrane Electrode Assemblies with Low-Pt-Loading Award Number: DE-EE0007651 CX(s) Applied: A9, B3.6 Fuel Cell Technologies Office Date: 10/4/2016 Location(s): MI Office(s): Golden Field Office September 16, 2016 CX-100753 Categorical Exclusion

  7. Categorical Exclusion Determinations: Minnesota | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Minnesota Categorical Exclusion Determinations: Minnesota Location Categorical Exclusion Determinations issued for actions in Minnesota. DOCUMENTS AVAILABLE FOR DOWNLOAD August 26, 2016 CX-100703 Categorical Exclusion Determination Creation of an online B2B platform specifically designed for the US solar marketplace that facilitates the brokering and commerce around grey market excess inventory and vintage replacement parts Award Number: DE-EE0007587 CX(s) Applied: A9, A11 Solar Energy

  8. Categorical Exclusion Determinations: Missouri | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Missouri Categorical Exclusion Determinations: Missouri Location Categorical Exclusion Determinations issued for actions in Missouri. DOCUMENTS AVAILABLE FOR DOWNLOAD August 26, 2016 CX-100704 Categorical Exclusion Determination Fundamental Studies of Surface-Functionalized Mesoporous Carbons for Thermodynamic Stabilizationand Reversibility of Metal Hydrides Award Number: DE-EE0007656 CX(s) Applied: A9, B3.6, B3.15 Fuel Cell Technologies Office Date: 8/15/2016 Location(s): MO Office(s): Golden

  9. Categorical Exclusion Determinations: Nationwide | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Nationwide Categorical Exclusion Determinations: Nationwide Location Categorical Exclusion Determinations issued for actions nationwide. DOCUMENTS AVAILABLE FOR DOWNLOAD November 7, 2016 CX-100766 Categorical Exclusion Determination Notice of Final Rule Rulemaking for Energy Conservation Standards for Commercial Packaged Boilers RIN 1904-AD07 CX(s) Applied: B5.1 EERE-Buildings Technology Program Date: 11/7/2016 Location(s): Nationwide Office(s): Golden Field Office October 27, 2016 CX-100764

  10. Categorical Exclusion Determinations: Naval Nuclear Propulsion Program |

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Department of Energy Naval Nuclear Propulsion Program Categorical Exclusion Determinations: Naval Nuclear Propulsion Program Categorical Exclusion Determinations issued by Naval Nuclear Propulsion Program. DOCUMENTS AVAILABLE FOR DOWNLOAD September 25, 2015 CX-014279: Categorical Exclusion Determination Lower Level Guard Post Replacement Project CX(s) Applied: B1.11, B1.15, B2.2 Date: 09/25/2015 Location(s): New York Offices(s): Naval Nuclear Propulsion Program July 6, 2015 CX-013878:

  11. Categorical Exclusion Determinations: Nevada | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Nevada Categorical Exclusion Determinations: Nevada Location Categorical Exclusion Determinations issued for actions in Nevada. DOCUMENTS AVAILABLE FOR DOWNLOAD September 9, 2016 CX-100744 Categorical Exclusion Determination A novel approach to map permeability using passive seismic emission tomography Award Number: DE-EE0007698 CX(s) Applied: A9, B3.1 Geothermal Technologies Office Date: 8/29/2016 Location(s): OH Office(s): Golden Field Office April 4, 2016 CX-100588 Categorical Exclusion

  12. Categorical Exclusion Determinations: Pennsylvania | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Pennsylvania Categorical Exclusion Determinations: Pennsylvania Location Categorical Exclusion Determinations issued for actions in Pennsylvania. DOCUMENTS AVAILABLE FOR DOWNLOAD September 9, 2016 CX-100747 Categorical Exclusion Determination Developing a Novel Hydrogen Sponge with Ideal Binding Energy and Hugh Surface Area for Practical Hydrogen Storage Award Number: DE-EE0007655 CX(s) Applied: A9, B3.6 Fuel Cell Technologies Office Date: 8/11/2016 Location(s): PA Office(s): Golden Field Office

  13. Categorical Exclusion Determinations: Portsmouth Paducah Project Office |

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Department of Energy Portsmouth Paducah Project Office Categorical Exclusion Determinations: Portsmouth Paducah Project Office Categorical Exclusion Determinations issued by Portsmouth Paducah Project Office. DOCUMENTS AVAILABLE FOR DOWNLOAD August 9, 2012 CX-009253: Categorical Exclusion Determination Optimization of Electrical Power at the Portsmouth Gaseous Diffusion Facility CX(s) Applied: B4.6, B4.11 Date: 08/09/2012 Location(s): Ohio Offices(s): Portsmouth Paducah Project Office May 9,

  14. Categorical Exclusion Determinations: Savannah River Operations Office |

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Department of Energy Savannah River Operations Office Categorical Exclusion Determinations: Savannah River Operations Office Categorical Exclusion Determinations issued by Savannah River Operations Office. DOCUMENTS AVAILABLE FOR DOWNLOAD February 29, 2016 CX-014636: Categorical Exclusion Determination Micro-encapsulation of PuO2 Surrogates in a Low-water Cement-based Waste Form CX(s) Applied: B3.6 Date: 02/29/2016 Location(s): South Carolina Offices(s): Savannah River Operations Office

  15. Categorical Exclusion Determinations: Southeastern Power Administration |

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Department of Energy Southeastern Power Administration Categorical Exclusion Determinations: Southeastern Power Administration Categorical Exclusion Determinations issued by Southeastern Power Administration. DOCUMENTS AVAILABLE FOR DOWNLOAD August 17, 2016 CX-100674 Categorical Exclusion Determination Monolithic silicon module manufacturing at less than 0.40 $/W Award Number: DE-EE0007538 CX(s) Applied: A9, B3.6 Solar Energy Technology Office Date: 7/25/2016 Location(s): AZ Office(s):

  16. Categorical Exclusion Determinations: Strategic Petroleum Reserve Field

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Office | Department of Energy Strategic Petroleum Reserve Field Office Categorical Exclusion Determinations: Strategic Petroleum Reserve Field Office Categorical Exclusion Determinations issued by Strategic Petroleum Reserve Field Office. DOCUMENTS AVAILABLE FOR DOWNLOAD March 1, 2016 CX-014628: Categorical Exclusion Determination Big Hill Remote Control for Pipeline Valve BH-3 CX(s) Applied: B1.3 Date: 03/01/2016 Location(s): Multiple Locations Offices(s): Strategic Petroleum Reserve Field

  17. Categorical Exclusion Determinations: Texas | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Texas Categorical Exclusion Determinations: Texas Location Categorical Exclusion Determinations issued for actions in Texas. DOCUMENTS AVAILABLE FOR DOWNLOAD September 7, 2016 CX-100722 Categorical Exclusion Determination Development of a novel, near real time approach to geothermal seismic exploration and Monitoring Via Ambient Seismic Noise Interferometry Award Number: DE-EE0007699 CX(s) Applied: A9, B3.1 Geothermal Technologies Office Date: 8/29/2016 Location(s): TX Office(s): Golden Field

  18. Categorical Exclusion Determinations: Utah | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Utah Categorical Exclusion Determinations: Utah Location Categorical Exclusion Determinations issued for actions in Utah. DOCUMENTS AVAILABLE FOR DOWNLOAD September 8, 2016 CX-100734 Categorical Exclusion Determination Multi-Scale Ordered Cell Structure for Cost Effective Production of Hydrogen by HTWS Award Number: DE-EE0007645 CX(s) Applied: A9, B3.6 Fuel Cell Technologies Office Date: 8/19/2016 Location(s): UT Office(s): Golden Field Office August 11, 2016 CX-100680 Categorical Exclusion

  19. Categorical Exclusion Determinations: Vermont | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Vermont Categorical Exclusion Determinations: Vermont Location Categorical Exclusion Determinations issued for actions in Vermont. DOCUMENTS AVAILABLE FOR DOWNLOAD January 27, 2016 CX-100465 Categorical Exclusion Determination Training for State Officials to Make Solar More Inclusive, Affordable, and Consumer Friendly Award Number: DE-EE0007321 CX(s) Applied: A9, A11 Solar Energy Technologies Office Date: 01/27/2016 Location(s): VT Office(s): Golden Field Office October 2, 2015 CX-100384

  20. Categorical Exclusion Determinations: Virginia | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Virginia Categorical Exclusion Determinations: Virginia Location Categorical Exclusion Determinations issued for actions in Virginia. DOCUMENTS AVAILABLE FOR DOWNLOAD September 7, 2016 CX-100725 Categorical Exclusion Determination Optimization of concentrator photovoltaic solar cell performance through photonic engineering Award Number: DE-EE0007544 CX(s) Applied: A9, B3.6 Solar Energy Technologies Office Date: 8/31/2016 Location(s): VA Office(s): Golden Field Office September 7, 2016 CX-100724

  1. Categorical Exclusion Determinations: Washington | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Washington Categorical Exclusion Determinations: Washington Location Categorical Exclusion Determinations issued for actions in Washington. DOCUMENTS AVAILABLE FOR DOWNLOAD August 11, 2016 CX-100683 Categorical Exclusion Determination Developing a low cost, high volume and scalable manufacturing technology for undoped and heavily p-type doped CdTe feedstock materials Award Number: DE-EE0007537 CX(s) Applied: A9, B3.6 Solar Energy Technologies Office Date: 8/1/2016 Location(s): WA Office(s):

  2. Categorical Exclusion Determinations: Western Area Power

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Administration-Desert Southwest Region | Department of Energy Desert Southwest Region Categorical Exclusion Determinations: Western Area Power Administration-Desert Southwest Region Categorical Exclusion Determinations issued by Western Area Power Administration-Desert Southwest Region. DOCUMENTS AVAILABLE FOR DOWNLOAD March 16, 2016 CX-014718: Categorical Exclusion Determination License Outgrant for the Quarry 187 Road Improvements CX(s) Applied: B1.13 Date: 03/16/2016 Location(s): Nevada

  3. Categorical Exclusion Determinations: Western Area Power

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Administration-Upper Great Plains Region | Department of Energy Upper Great Plains Region Categorical Exclusion Determinations: Western Area Power Administration-Upper Great Plains Region Categorical Exclusion Determinations issued by Western Area Power Administration-Upper Great Plains Region. DOCUMENTS AVAILABLE FOR DOWNLOAD July 15, 2015 CX-014172: Categorical Exclusion Determination Fullerton Tap CX(s) Applied: B4.11 Date: 07/15/2015 Location(s): North Dakota Offices(s): Western Area

  4. Categorical Exclusion Determinations: Wisconsin | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Wisconsin Categorical Exclusion Determinations: Wisconsin Location Categorical Exclusion Determinations issued for actions in Wisconsin. DOCUMENTS AVAILABLE FOR DOWNLOAD November 2, 2016 CX-100765 Categorical Exclusion Determination SCC Emission-Free and Treaty Resources Protection Clean Energy Initiative Award Number: DE-IE0000036 CX(s) Applied: A9, B5.16 Office of Indian Energy Date: 10/21/2016 Location(s): WI Office(s): Golden Field Office August 22, 2016 CX-100697 Categorical Exclusion

  5. CX-003799: Categorical Exclusion Determination | Department of...

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    DOCUMENT(S) AVAILABLE FOR DOWNLOAD CX-003799.pdf (212.85 KB) More Documents & Publications CX-003728: Categorical Exclusion Determination EA-1645: Finding of No Significant Impact ...

  6. CX-010269: Categorical Exclusion Determination | Department of...

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    CX-010269: Categorical Exclusion Determination Renewable Energy Initiatives for Clark ... The U.S. Department of Energy (DOE) is proposing to provide federal funding to the Clark ...

  7. Electrolux: Compliance Determination (2010-SE-0108)

    Energy.gov [DOE]

    After conducting testing of Electrolux's Frigidaire chest freezer model FFN09M5HWC, DOE determined that the model met the applicable energy conservation standard.

  8. CX-100686 Categorical Exclusion Determination | Department of...

    Energy Saver

    CX-100686 Categorical Exclusion Determination U.S. Photovoltaic Manufacturing ... DOE is proposing to provide federal funding to U.S. Photovoltaic Manufacturing Consortium ...

  9. CX-005846: Categorical Exclusion Determination | Department of...

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    CX-005846: Categorical Exclusion Determination Wood Pole Replacement and Minor Access Road Maintenance Along Various Transmission Line Rights-Of-Way in the Wenatchee District CX(s) ...

  10. CX-001627: Categorical Exclusion Determination | Department of...

    Office of Environmental Management (EM)

    CX-001627: Categorical Exclusion Determination Test Reactor Cask Implementation CX(s) ... This proposed action is a process and facility modification. The Advanced Test Reactor ...

  11. CX-008779: Categorical Exclusion Determination | Department of...

    Office of Environmental Management (EM)

    CX-008779: Categorical Exclusion Determination Curecanti-Poncha-Canon City West-Midway 230-Kilovolt Transmission Line Road Maintenance Gunnison, Chaffee, Fremont, Pueblo, and El ...

  12. CX-009914: Categorical Exclusion Determination | Department of...

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    CX-009914: Categorical Exclusion Determination Plug & Play Solar Photovoltaic for American ... installed cost of residential solar photovoltaic (PV) systems by developing a ...

  13. CX-010509: Categorical Exclusion Determination | Department of...

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    CX-010509: Categorical Exclusion Determination Plug & Play Solar Photovoltaic for American ... installed cost of residential solar photovoltaic (PV) systems by developing a ...

  14. CX-012011: Categorical Exclusion Determination | Department of...

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    CX-012011: Categorical Exclusion Determination Plug and Play Solar Photovoltaic for ... installed cost of residential solar photovoltaic (PV) systems by developing a ...

  15. CX-009430: Categorical Exclusion Determination | Department of...

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    CX-009430: Categorical Exclusion Determination Cascaded Micro Inverter Photovoltaic System ... to develop and demonstrate a cascaded photovoltaic inverter architecture, which would ...

  16. CX-004249: Categorical Exclusion Determination | Department of...

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    CX-004249: Categorical Exclusion Determination Low Cost High Concentration Photovoltaic ... (Amonix 7700 High Concentration Photovoltaic systems) for field testing at SolarTac ...

  17. CX-001856: Categorical Exclusion Determination | Department of...

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Exclusion Determination Rural Cooperative Geothermal Development Electric and Agriculture CX(s) Applied: B3.1 Date: 04282010 Location(s): Paisley, Oregon Office(s): Energy...

  18. CX-003608: Categorical Exclusion Determination | Department of...

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    CX-003608: Categorical Exclusion Determination Sustainable Algal Energy Production and Environmental Remediation CX(s) Applied: A9, B3.6 Date: 08252010 Location(s): Virginia ...

  19. CX-006863: Categorical Exclusion Determination | Department of...

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    CX-006863: Categorical Exclusion Determination Production ... Minnesota Office(s): Energy Efficiency and Renewable ... aims to establish a sustainable supply of ...

  20. Categorical Exclusion Determinations: Golden Field Office | Department...

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Categorical Exclusion Determination U.S. Department of Energy Collegiate Entrepreneurship Prize Award Number: TBD FOA CX(s) Applied: A9 Date: 12222014 Location(s): CO...

  1. CX-006520: Categorical Exclusion Determination | Department of...

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    CX-006520: Categorical Exclusion Determination High Energy Density Distributed Hydrostatic Direct Drive for Large Wind Turbine and Marine Hydro-Kinetic Device Applications CX(s) ...

  2. CX-100343 Categorical Exclusion Determination | Department of...

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    CX-100343 Categorical Exclusion Determination RPM Solar Asset Management Software Award ... Management to develop a cloud based software platform that manages the financial and ...

  3. CX-008761: Categorical Exclusion Determination | Department of...

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    CX-008761: Categorical Exclusion Determination Surface Water and Groundwater Sampling Near the Naturita, Colorado Title I Uranium Mill Tailings Radiation Control Act (UMTRCA) ...

  4. Methods for threshold determination in multiplexed assays

    DOEpatents

    Tammero, Lance F. Bentley; Dzenitis, John M; Hindson, Benjamin J

    2014-06-24

    Methods for determination of threshold values of signatures comprised in an assay are described. Each signature enables detection of a target. The methods determine a probability density function of negative samples and a corresponding false positive rate curve. A false positive criterion is established and a threshold for that signature is determined as a point at which the false positive rate curve intersects the false positive criterion. A method for quantitative analysis and interpretation of assay results together with a method for determination of a desired limit of detection of a signature in an assay are also described.

  5. CX-100274 Categorical Exclusion Determination | Department of...

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    CX-100274 Categorical Exclusion Determination An Integrated Approach to Offshore Wind ... University to develop best practices for offshore wind measurements that are used to ...

  6. Zoe Industries: Noncompliance Determination (2011-SW-2912)

    Energy.gov [DOE]

    DOE issued a Notice of Noncompliance Determination to Zoe Industries, Inc. finding that Giessdorf 150043 model, a showerhead, does not comport with the water conservation standards.

  7. Categorical Exclusion Determinations: RMOTC | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    RMOTC Categorical Exclusion Determinations: RMOTC Categorical Exclusion Determinations issued by RMOTC. DOCUMENTS AVAILABLE FOR DOWNLOAD December 30, 2013 CX-011724: Categorical Exclusion Determination Repair Corroded Flow Line Near 33-SX-11 CX(s) Applied: B5.4, B5.6 Date: 12/30/2013 Location(s): Wyoming Offices(s): RMOTC July 26, 2013 CX-010688: Categorical Exclusion Determination Optimization Project #3 CX(s) Applied: B2.5, B5.2, B5.4, B5.5 Date: 07/26/2013 Location(s): Wyoming Offices(s):

  8. Categorical Exclusion Determinations: National Energy Technology...

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Laboratory September 9, 2014 CX-012155: Categorical Exclusion Determination Subsea High Voltage Direct Current Connectors for Environmentally Safe and Reliable Powering of UDW... ...

  9. CX-013314: Categorical Exclusion Determination | Department of...

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    CX-013314: Categorical Exclusion Determination Advanced Reactor Technologies Tristructural ... in INL-08-082 (OA 7) as Very High Temperature Reactor (VHTR) Technology Development. ...

  10. Categorical Exclusion Determinations: Ohio | Department of Energy

    Energy.gov [DOE] (indexed site)

    September 9, 2016 CX-100743 Categorical Exclusion Determination Biomass Gasification for Chemicals Production Using Chemical Looping Techniques Award Number: DE-EE0007530 CX(s) ...

  11. CX-004656: Categorical Exclusion Determination | Department of...

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    CX-004656: Categorical Exclusion Determination Small Wind Turbine Regional Test Center - ... RTCs that would offer small wind turbine certification testing to the industry by ...

  12. CX-002995: Categorical Exclusion Determination | Department of...

    Office of Environmental Management (EM)

    CX-002995: Categorical Exclusion Determination Defense Waste Processing Facility Water ... 1-liter frit decon wet solids samples from Defense Waste Processing Facility (DWPF). ...

  13. Vitrification Melter Waste Incidental to Reprocessing Determination...

    Office of Environmental Management (EM)

    Reprocessing Determination For The West Valley Demonstration Project Concentrator Feed Makeup Tank and Melter Feed Hold Tank Responses to Public Comments on Draft Vitrification...

  14. POLICY GUIDANCE MEMORANDUM #26 Official Worksite Determinations...

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    MEMORANDUM 26 Official Worksite Determinations Responsible Contacts Ahtora Brooks Human Resource Specialists E-mail Ahtora.Brooks@Hq.Doe.Gov Phone 202-586-1239 More...

  15. CX-100664 Categorical Exclusion Determination | Department of...

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    CX-100664 Categorical Exclusion Determination Physics-Based Interval Data Models to ... to provide federal funding to Fraunhofer USA, Inc. to develop, demonstrate, and validate ...

  16. CX-007391: Categorical Exclusion Determination | Department of...

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    CX-007391: Categorical Exclusion Determination Time-lapse Joint Inversion of Geophysical ... reservoirs by developing joint inversion of several geophysical techniques to ...

  17. CX-007889: Categorical Exclusion Determination | Department of...

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    CX-007889: Categorical Exclusion Determination Time-lapse Joint Inversion of Geophysical ... reservoirs by developing joint inversion of several geophysical techniques to ...

  18. CX-011580: Categorical Exclusion Determination | Department of...

    Office of Environmental Management (EM)

    CX-011580: Categorical Exclusion Determination Model Validation Using Computational Fluid Dynamics (CFD)-Grade Experimental Database for Next Generation Nuclear Plant (NGNP) ...

  19. Arelik A.?: Compliance Determination (2010-SE-0105)

    Energy.gov [DOE]

    DOE issued a Notice of Compliance Determination after test results revealed that Arelik's Blomberg BRFB1450 refrigerator-freezer complies with the applicable energy conservation standards.

  20. CX-100526 Categorical Exclusion Determination | Department of...

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    This NEPA determination applies to the remaining Tasks 2.0-6.0, including outdoor test support, strain improvement, control optimization, preprocessing unit operations and ...

  1. Adjudicative Guidelines for Determining Eligibility for Access...

    Energy Saver

    to include sensitive compartmented information and special access programs, and are to be used by government departments and agencies in all final clearance determinations. ...

  2. CX-011250: Categorical Exclusion Determination | Department of...

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Determination Transforming Photovoltaic Installations Toward Dispatchable, Schedulable Energy Solutions CX(s) Applied: B3.6, B5.15 Date: 10172013 Location(s): Oregon...

  3. DNA Sequence Determinants Controlling Affinity, Stability and...

    Office of Scientific and Technical Information (OSTI)

    the Nucleoid Protein Fis Citation Details In-Document Search Title: DNA Sequence Determinants Controlling Affinity, Stability and Shape of DNA Complexes Bound by the Nucleoid ...

  4. CX-007901: Categorical Exclusion Determination | Department of...

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    CX-007901: Categorical Exclusion Determination Improving Atmospheric Models for Offshore Wind Resource Mapping and Prediction Using LIDAR, Aircraft, and In-Ocean...

  5. ET Industries: Noncompliance Determination (2012-SE-2902)

    Energy.gov [DOE]

    DOE issued a Notice of Noncompliance Determination to ET Industries, Inc. finding that showerhead basic model TH-1 does not comport with the water conservation standards.

  6. Computational Procedures for Determining Parameters in Ramberg...

    Office of Scientific and Technical Information (OSTI)

    2 RAMBO: A Computer Code for Determining Parameters in Ramberg-Osgood Elastoplastic Model Based on Modulus and Damping Versus Strain ABSTRACT A computer code, RAMBO, is ...

  7. Watermark: Noncompliance Determination (2011-SW-2908)

    Energy.gov [DOE]

    DOE issued a Notice of Noncompliance Determination to Watermark Designs, Ltd. finding that model SH-FAL-90, a showerhead, does not comport with the water conservation standards.

  8. Quantitative Experimental Determination of the Solid Solution...

    Office of Scientific and Technical Information (OSTI)

    Quantitative Experimental Determination of the Solid Solution Hardening Potential of Rhenium, Tungsten and Molybdenum in Single Crystal Nickel-based Superalloys Citation Details ...

  9. Determining Memory Use | Argonne Leadership Computing Facility

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Allinea DDT Core File Settings Determining Memory Use Using VNC with a Debugger bgqstack gdb Coreprocessor Runjob termination TotalView Performance Tools & APIs Software &...

  10. CX-006216: Categorical Exclusion Determination | Department of...

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    CX-006216: Categorical Exclusion Determination Oklahoma State Energy Program American Recovery and Reinvestment Act - Oklahoma Municipal Power Authority Large System Request R ...

  11. CX-005301: Categorical Exclusion Determination | Department of...

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    wind turbine(s); conducting business and organizational planning to determine whether a wind-diesel plant is feasible; developing and conducting educational and informational...

  12. CX-006830: Categorical Exclusion Determination | Department of...

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    CX-006830: Categorical Exclusion Determination Hydrogen Storage System Cost Assessment CX(s) Applied: A9 Date: 09222011 Location(s): Virginia Office(s): Energy Efficiency and ...

  13. CX-100658 Categorical Exclusion Determination | Department of...

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    CX-100658 Categorical Exclusion Determination Hydrogen Storage System Cost Assessment Award Number: DE-EE0007601 CX(s) Applied: A9 Fuel Cell Technologies Office Date: 7122016 ...

  14. Determinations and Coverage Rulemakings | Department of Energy

    Energy Saver

    Determinations and Coverage Rulemakings The Energy Policy and Conservation Act (EPCA) (42 ... which the Secretary of Energy is authorized to establish energy conservation standards. ...

  15. CX-011753: Categorical Exclusion Determination | Department of...

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    CX-011753: Categorical Exclusion Determination LanzaTech Inc. - Process Intensification of Biological Natural Gas Conversion through Novel Bioreactors Designs CX(s) Applied: B3.6 ...

  16. CABLE TECHNOLOGY LABORATORIES, INC. DETERMINATION OF THRESHOLD...

    Office of Scientific and Technical Information (OSTI)

    CABLE TECHNOLOGY LABORATORIES, INC. DETERMINATION OF THRESHOLD AND MAXIMUM OPERATING ELECTRIC STRESSES FOR SELECTED HIGH VOLTAGE INSULATIONS Investigation of Aged Polymeric ...

  17. CX-002452: Categorical Exclusion Determination | Department of...

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Assessment of the Environmental Effects of Hydrokinetic Turbines on Fish CX(s) Applied: ... to determine injury and survival rates for fish passing through hydrokinetic turbines. ...

  18. CX-006211: Categorical Exclusion Determination | Department of...

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Exclusion Determination Missouri Independent Energy Efficiency Program: Henniges Automotive - Process Air Compressor Upgrades CX(s) Applied: B5.1 Date: 07182011 Location(s):...

  19. CX-100451 Categorical Exclusion Determination | Department of...

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    CX-100451 Categorical Exclusion Determination Integrated ... A9, B3.6 Advanced Manufacturing Date: 01192016 ... power converters using computer-aided engineering tools. ...

  20. CX-100327 Categorical Exclusion Determination | Department of...

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    CX-100327 Categorical Exclusion Determination Proposed Rulemaking for Energy Conservation Standards for Commercial Water Heating Equipment RIN: 1904-AD34 CX(s)...

  1. Felix Storch: Noncompliance Determination (2010-SCE-0111)

    Energy.gov [DOE]

    DOE issued a Notice of Noncompliance Determination to Felix Storch finding that basic model FS62, a compact upright freezer, does not comport with the energy conservation standards.

  2. Morris: Noncompliance Determination (2013-SE-5403)

    Energy.gov [DOE]

    DOE issued a Notice of Noncompliance Determination to Morris Products, Inc. finding that various models of metal halide lamp fixtures do not comport with the energy conservation standards.

  3. CX-009549: Categorical Exclusion Determination | Department of...

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    CX-009549: Categorical Exclusion Determination Vapor Transport Deposition for Thin Film ... to conduct research and development activities that advance solar photovoltaic technology. ...

  4. Zinc Speciation in Contaminated Sediments: Quantitative Determination...

    Office of Scientific and Technical Information (OSTI)

    Zinc Speciation in Contaminated Sediments: Quantitative Determination of Zinc Coordination by X-ray Absorption Spectroscopy Citation Details In-Document Search Title: Zinc ...

  5. Categorical Exclusion Determinations: Golden Field Office | Department...

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Program Date: 03252015 Location(s): Nationwide Office(s): Golden Field Office March 24, 2015 CX-100203 Categorical Exclusion Determination Solar Hot Water Project in Greenburgh,...

  6. Perlick: Noncompliance Determination (2013-SE-14002)

    Energy.gov [DOE]

    DOE issued a Notice of Noncompliance Determination to Perlick Corporation finding that refrigerator basic model HP48RR does not comport with the energy conservation standards.

  7. CX-010763: Categorical Exclusion Determination | Department of...

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    CX-010763: Categorical Exclusion Determination Nevada Desert Research Institute- Photovoltaic Installation CX(s) Applied: B5.16 Date: 07172013 Location(s): Nevada Offices(s):...

  8. Perlick: Noncompliance Determination (2013-SE-14001)

    Energy.gov [DOE]

    DOE issued a Notice of Noncompliance Determination to Perlick Corporation finding that freezer basic model HP24F does not comport with the energy conservation standards.

  9. Categorical Exclusion Determinations: Sandia Site Office | Department...

    Office of Environmental Management (EM)

    ... May 25, 2011 CX-007089: Categorical Exclusion Determination Dynamic Integrated Compression Experimental Facility: Three-Inch Light Gas Gun & Small Pulser - Operations CX(s) ...

  10. CX-007147: Categorical Exclusion Determination | Department of...

    Office of Environmental Management (EM)

    CX-007147: Categorical Exclusion Determination Flagstaff Substation Breaker Replacement & Control Cable Addition CX(s) Applied: B2.5 Date: 02182011 Location(s): Coconino County, ...

  11. Categorical Exclusion Determinations: Wyoming | Department of...

    Office of Environmental Management (EM)

    Amended Boysen-Thermopolis 115 Kilovolt Transmission Line Structure Replacement Project ... Determination Happy Jack 230 Kilovolt Substation Fiber Optic Installation Laramie ...

  12. Categorical Exclusion Determinations: Bonneville Power Administration...

    Office of Environmental Management (EM)

    Coyote Hills Radio Station Electrical Service Replacement Project CX(s) Applied: B4.13 ... November 12, 2015 CX-014377: Categorical Exclusion Determination Olympia Substation ...

  13. Categorical Exclusion Determinations: Montana | Department of...

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    ... BPA Idaho Falls District 2015 Wood Pole Replacement and Access Road Maintenance CX(s) ... March 11, 2015 CX-013448: Categorical Exclusion Determination Taft Substation Retaining ...

  14. Categorical Exclusion Determinations: Nebraska | Department of...

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    ... February 10, 2014 CX-012081: Categorical Exclusion Determination Kimball Substation KY1A Transformer Replacement and Road Maintenance CX(s) Applied: B1.3 Date: 02102014 ...

  15. Categorical Exclusion Determinations: Southwestern Power Administratio...

    Office of Environmental Management (EM)

    NERC Alert Phase III Transmission Line Structure Replacement Project CX(s) Applied: B4.6 ... May 5, 2014 CX-012212: Categorical Exclusion Determination Doniphan Substation Backup ...

  16. Hydac: Noncompliance Determination (2012-SE-4107)

    Energy.gov [DOE]

    DOE issued a Notice of Noncompliance Determination to Hydac Technology Corporation finding that a variety of electric motor basic models do not comport with the energy conservation standards.

  17. Mueller Streamline: Noncompliance Determination (2011-SW-2802)

    Energy.gov [DOE]

    DOE issued a Notice of Noncompliance Determination to Mueller Streamline Co. finding that faucet model 120-003NL does not comport with the water conservation standards.

  18. Whirlpool: Noncompliance Determination (2013-SE-1420)

    Energy.gov [DOE]

    DOE issued a Notice of Noncompliance Determination to Whirlpool Corporation finding that refrigerator-freezer basic model 8TAR81 does not comport with the energy conservation standards.

  19. CX-100654 Categorical Exclusion Determination | Department of...

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    CX-100654 Categorical Exclusion Determination Fuel Cell Systems Analysis Award Number: ... Proton Exchange Membrane (PEM) fuel cell power plants for vehicles and buses. ...

  20. CX-000321: Categorical Exclusion Determination | Department of...

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    CX-000321: Categorical Exclusion Determination Kentucky Revision 2 - Green and Healthy ...232009 Location(s): Kentucky Office(s): Energy Efficiency and Renewable Energy, National ...