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  1. 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 ...

  2. Reconnaissance survey of eight bays in Puget Sound

    SciTech Connect (OSTI)

    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.

  3. Bay Area | Open Energy Information

    Open Energy Info (EERE)

    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...

  4. Chesapeake Bay Test Site | Open Energy Information

    Open Energy Info (EERE)

    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...

  5. Bay Solar Power Design | Open Energy Information

    Open Energy Info (EERE)

    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...

  6. Bay Biodiesel LLC | Open Energy Information

    Open Energy Info (EERE)

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

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

    Open Energy Info (EERE)

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

  8. Determination

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

    Determination of a Minimum Soiling Level to Affect Photovoltaic Devices Patrick D. Burton and Bruce H. King Sandia National Laboratories, Albuquerque, NM 87185 USA...

  9. BayWa Group | Open Energy Information

    Open Energy Info (EERE)

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

  10. Tuscola Bay Wind | Open Energy Information

    Open Energy Info (EERE)

    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. Felton Bay Logistics, LLC | Open Energy Information

    Open Energy Info (EERE)

    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,...

  12. Keweenaw Bay Indian Community Presentation

    Energy Savers [EERE]

    - Keweenaw Bay Indian Community PRESENTATION Assessing the Feasibility of Renewable Energy Development and Energy Efficiency Deployment on Tribal Lands DOE Tribal Energy Program Review October 25 29, 2010 Gregg Nominelli, J.D. Economic Developer BACKGROUND INFORMATION  U.S. Department of Justice - Community Capacity Development Office  Alternative & Renewable Energy Committee Established by Tribal Council  Council for Energy Resource Tribes (CERT) - Developed Strategic Energy Plan

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

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

    Order authorizing Great Bay Energy to export electric energy to Canada. PDF icon EA-389 ... Great Bay Energy VI, LLC EA-389-A Great Bay Energy VI, LLC EA-342-A Royal Bank of Canada

  14. Massachusetts Bay Transportation Authority | Open Energy Information

    Open Energy Info (EERE)

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

  15. Hooper Bay Wind Farm | Open Energy Information

    Open Energy Info (EERE)

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

  16. Bay Front Biomass Facility | Open Energy Information

    Open Energy Info (EERE)

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

  17. Glacier Bay Inc | Open Energy Information

    Open Energy Info (EERE)

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

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

    Open Energy Info (EERE)

    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...

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

    Open Energy Info (EERE)

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

  20. Tampa Bay Area Ethanol Consortium | Open Energy Information

    Open Energy Info (EERE)

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

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

    Office of Scientific and Technical Information (OSTI)

    Title: Ecological Forecasting in Chesapeake Bay: Using a Mechanistic-Empirical Modelling Approach The Chesapeake Bay Ecological Prediction System (CBEPS) automatically generates ...

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

    Open Energy Info (EERE)

    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...

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

    Open Energy Info (EERE)

    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. Cold Bay Hot Spring Geothermal Area | Open Energy Information

    Open Energy Info (EERE)

    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...

  5. Near Fish Bay Geothermal Area | Open Energy Information

    Open Energy Info (EERE)

    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...

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

    Open Energy Info (EERE)

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

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

    SciTech Connect (OSTI)

    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.

  8. New and Underutilized Technology: High Bay LED Lighting

    Broader source: Energy.gov [DOE]

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

  9. Bay Area | National Nuclear Security Administration

    National Nuclear Security Administration (NNSA)

    Survey (SAN JOSE and SAN FRANCISCO, California) - A helicopter may be seen flying at ... seen flying at low altitudes around the California Bay Area from September 1 - 6, 2015. ...

  10. SCHEDULE: Bay Area Maker Faire 2016

    Broader source: 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.

  11. Keweenaw Bay Indian Community- 2010 Project

    Broader source: 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

    Broader source: 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. Keeping comets and asteroids at bay

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

    Keeping Comets And Asteroids At Bay Community Connections: Your link to news and opportunities from Los Alamos National Laboratory Latest Issue:May 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 convene at

  14. Really Off the Grid: Hooper Bay, AK

    Energy Savers [EERE]

    Really Off the Grid - Hooper Bay, AK Old Housing - Energy Efficiency Vintage Hooper Bay Renewable Energy - Before & After DOE Tribal Energy Grant * $200,000 - Energy Efficiency Feasibility Study * Hire & train 2-5 local energy assessors * Energy audits of 24 homes with blower doors, etc. - Reduce energy consumption from air leakage - Moisture/mold issues - Reduce drafts * $7/gallon heating fuel * ~ $0.55/kWh - electricity (over half of households behind on utility payments) Is your house

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

    SciTech Connect (OSTI)

    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 (OSTI)

    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. 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 ...

  18. 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 ...

  19. Galveston Bay Biodiesel LP GBB | Open Energy Information

    Open Energy Info (EERE)

    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...

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

    Open Energy Info (EERE)

    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,...

  1. Bay Mills Indian Community Energy Reduction Feasibility Study

    Energy Savers [EERE]

    Tribal Council of Michigan, Inc. Environmental Services Division Chris Kushman Bay Mills Indian Community Energy Reduction Feasibility Study *DOE Tribal Energy Program *Tribal Energy Program Review presenters *Bay Mills Indian Community Thank You * Great relationship between ITCMI and Bay Mills * Proactive in exploring renewable energy alternatives - Bay Mills Community College Alternative Energy Curriculum - Biofuels and the crops to support biofuels - Wind resource data collection * Upper

  2. Bristol Bay Native Corporation- 2003 Project

    Broader source: 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.

  3. Thorne Bay School - A Model in Sustainability

    Energy Savers [EERE]

    Thorne Bay School - A Model in Sustainability 1 2 Community Supported Wood Supply Innovative Operations Plan 3 Embracing the Benefits 4 Beyond an Energy Vision 5 Alaska's Process  Regional Planning  Outreach  Statements of Interest  Pre-feasibility Studies  Sustainable Fuel Supply  Technology Options  Economics  Community Education  Community Decision 6 7 Devany Plentovich dplentovich@aidea.oprg AKEnergyAuthority.org 8

  4. Ecological Forecasting in Chesapeake Bay: Using a Mechanistic-Empirical

    Office of Scientific and Technical Information (OSTI)

    Modelling Approach (Journal Article) | SciTech Connect Ecological Forecasting in Chesapeake Bay: Using a Mechanistic-Empirical Modelling Approach Citation Details In-Document Search Title: Ecological Forecasting in Chesapeake Bay: Using a Mechanistic-Empirical Modelling Approach 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

  5. 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

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

    Open Energy Info (EERE)

    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...

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

    Open Energy Info (EERE)

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

  8. McKay Bay Facility Biomass Facility | Open Energy Information

    Open Energy Info (EERE)

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

  9. U.S. Naval Station, Guantanamo Bay, Cuba

    Broader source: Energy.gov [DOE]

    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.

  10. Computing Sciences Staff Help East Bay High Schoolers Upgrade...

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

    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...

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

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

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

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

    Open Energy Info (EERE)

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

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

    Open Energy Info (EERE)

    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:...

  14. Promising Technology: High Bay Light-Emitting Diodes

    Broader source: 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.

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

    SciTech Connect (OSTI)

    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, cooling, thermostat setting inefficiencies, powering computers, lighting, items linked to weatherization and numerous other items were encountered that can be mitigated with the energy conservation measures developed and specified during the course of this project.

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

    Energy Savers [EERE]

    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. PDF icon EA-389 Great Bay Energy VI, (CN).pdf 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,

  17. 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...

  18. Neutron calibration sources in the Daya Bay experiment

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

    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.

  19. Low-bay Lighting Energy Conservation Measures

    Energy Science and Technology Software Center (OSTI)

    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

  20. Bay Area Maker Faire 2016 | Department of Energy

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

    Bay Area Maker Faire 2016 Bay Area Maker Faire 2016 May 20, 2016 12:00PM PDT to May 22, 2016 6:00PM PDT San Mateo County Event Center 1346 Saratoga Dr. San Mateo, CA 94403 Think. Make. Innovate. That's what the U.S. Department of Energy (DOE) and its national laboratories do every day. By doing so, they help change the world! DOE and its "Makers," including those at nine national labs will be exhibiting at the 11th annual Bay Area Maker Faire, dubbed the "Greatest Show (and Tell)

  1. High-bay Lighting Energy Conservation Measures

    Energy Science and Technology Software Center (OSTI)

    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

  2. Muon Simulation at the Daya Bay SIte

    SciTech Connect (OSTI)

    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.

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

    Open Energy Info (EERE)

    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...

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

    Open Energy Info (EERE)

    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...

  5. Cross-media approach to saving the Chesapeake Bay

    SciTech Connect (OSTI)

    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.

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

    Open Energy Info (EERE)

    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...

  7. Keweenaw Bay Indian Community- 2010 Energy Efficiency Project

    Broader source: 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.

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

    Broader source: 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.

  9. BayWa Sunways JV | Open Energy Information

    Open Energy Info (EERE)

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

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

    Open Energy Info (EERE)

    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...

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

    Open Energy Info (EERE)

    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...

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

    Open Energy Info (EERE)

    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 ...

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

    SciTech Connect (OSTI)

    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.

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

    Broader source: 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.

  15. LISBURNE LISBURNE KUPARUK RIVER PRUDHOE BAY MILNE POINT ALPINE

    U.S. 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 ...

  16. LISBURNE LISBURNE KUPARUK RIVER PRUDHOE BAY MILNE POINT ALPINE

    U.S. 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 ...

  17. LISBURNE LISBURNE KUPARUK RIVER PRUDHOE BAY MILNE POINT ALPINE

    U.S. 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 ...

  18. NREL: Wind Research - Building 251 and High Bay

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

    Building 251 and High Bay Photo of an aerial shot of a large blue and grey building with parking lot and cars in the foreground. Building 251 at the NWTC houses administrative and research support offices and well as a high bay for testing wind turbine components. Building 251 is the hub of the National Wind Technology Center. In addition to housing administrative and research support offices, the facility's conference rooms enable NREL to host international wind power specialists, conferences,

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

    National Nuclear Security Administration (NNSA)

    Nuclear Security Administration 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 a

  20. Cathodic Protection of the Yaquina Bay Bridge

    SciTech Connect (OSTI)

    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.

  1. Replacement of tritiated water from irradiated fuel storage bay

    SciTech Connect (OSTI)

    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%.

  2. 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 ...

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

    SciTech Connect (OSTI)

    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.

  4. 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

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

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

    Energy 2.24.2011]: Dynamical Fingerprints and Daya Bay Geek-Up[2.24.2011]: Dynamical Fingerprints and Daya Bay February 25, 2011 - 4:37pm Addthis Nuclear power plants like the twin Daya Bay reactors, yield large amounts of electron antineutrinos -- millions of quadrillions of them every second. | Photo Courtesy of Roy Kaltschmidt, Lawrence Berkeley National Laboratory Nuclear power plants like the twin Daya Bay reactors, yield large amounts of electron antineutrinos -- millions of

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

    Broader source: 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.

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

    Broader source: 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.

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

    SciTech Connect (OSTI)

    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.

  9. LISBURNE LISBURNE KUPARUK RIVER PRUDHOE BAY MILNE POINT ALPINE

    U.S. 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

  10. LISBURNE LISBURNE KUPARUK RIVER PRUDHOE BAY MILNE POINT ALPINE

    U.S. 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

  11. LISBURNE LISBURNE KUPARUK RIVER PRUDHOE BAY MILNE POINT ALPINE

    U.S. 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

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

    Broader source: 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.

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

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

    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

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

    SciTech Connect (OSTI)

    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.

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

    SciTech Connect (OSTI)

    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.

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

    SciTech Connect (OSTI)

    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 were differences in metal levels among internal tissues. • Brain had the lowest levels of arsenic and cadmium. • Bird weight and arsenic, cadmium, and selenium levels in brain were negatively correlated. • Selenium:mercury molar ratio varied among tissues (21–141, suggesting protection)

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

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

    Neutrinos Turn into Muon Neutrinos | U.S. DOE Office of Science (SC) The Daya Bay Reactor Neutrino Experiment Sees Evidence that Electron Neutrinos Turn into Muon Neutrinos High Energy Physics (HEP) HEP Home About Research Facilities Science Highlights Benefits of HEP Funding Opportunities Advisory Committees Community Resources Contact Information High Energy Physics U.S. Department of Energy SC-25/Germantown Building 1000 Independence Ave., SW Washington, DC 20585 P: (301) 903-3624 F:

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

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

    Neutrinos Turn into Muon Neutrinos | U.S. DOE 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 Benefits of NP Funding Opportunities Nuclear Science Advisory Committee (NSAC) Community Resources Contact Information Nuclear Physics U.S. Department of Energy SC-26/Germantown Building 1000 Independence Ave., SW Washington, DC 20585 P: (301)

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

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

    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

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

    SciTech Connect (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 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.

  1. Microbial diversity in restored wetlands of San Francisco Bay

    SciTech Connect (OSTI)

    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.

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

    Energy Savers [EERE]

    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 -

  3. Inter-Tribal Council of Michigan, Inc. - Bay Mills Indian Community Energy Reduction Feasibility Study

    Energy Savers [EERE]

    --Tribal Council of Michigan, Inc. Environmental Services Division Bay Mills Indian Community Energy Reduc<on Feasibility Study Chris K ushman Thank You *DOE Tribal Energy Program *Tribal Energy Program Review presenters *Bay Mills Indian Community Bay Mills Indian Community * Upper Peninsula of Michigan - Cold temperatures - Prolonged exposure to strong north winds off Lake Superior - Short winter daylight * Fishing and fish consuming community * Electricity largely supplied by coal fired

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

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

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

    Open Energy Info (EERE)

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

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

    SciTech Connect (OSTI)

    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.

  7. 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, ... Multifamily Housing Deep Energy Retrofit, Annapolis, Maryland (Fact Sheet) ...

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

    Office of Environmental Management (EM)

    Green Bay, Wisconsin - September 14, 2006 Session Chaired by: Jay Jones, DOE, Office of Civilian Radioactive Waste Management, OCRWM Regular Members in Attendance: Sandra Alexander...

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

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

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

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

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

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

    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)

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

    SciTech Connect (OSTI)

    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.

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

    SciTech Connect (OSTI)

    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.

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

    SciTech Connect (OSTI)

    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.

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

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

    Find us at the Bay Area Maker Faire Find us at the Bay Area Maker Faire Find us at the Bay Area Maker Faire It's dubbed the "Greatest Show (and Tell) on Earth." Of course we'll be there! From satellites to a 3D-printed Jeep to remote controlled robots to carbon capture microbeads, we'll be displaying some of the coolest technologies from across the Energy Department. We also want to meet innovators like you! Representatives from the Department of Energy's National Labs, the Office of

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

    SciTech Connect (OSTI)

    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 Laboratorys 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 root mean square error values for surface elevation, velocity, temperature, and salinity time series are 0.11 m, 0.10 m/s, 1.28oC, and 1.91 ppt, respectively. The model was able to reproduce the salinity and temperature stratifications inside Bellingham Bay. Wetting and drying processes in tidal flats in Bellingham Bay, Samish Bay, and Padilla Bay were also successfully simulated. Both model results and observed data indicated that water surface elevations inside Bellingham Bay are highly correlated to tides. Circulation inside the bay is weak and complex and is affected by various forcing mechanisms, including tides, winds, freshwater inflows, and other local forcing factors. The Bellingham Bay model solution was successfully linked to the NOAA oil spill trajectory simulation model General NOAA Operational Modeling Environment (GNOME). Overall, the Bellingham Bay model has been calibrated reasonably well and can be used to provide detailed hydrodynamic information in the bay and adjacent water bodies. While there is room for further improvement with more available data, the calibrated hydrodynamic model provides useful hydrodynamic information in Bellingham Bay and can be used to support sediment transport and water quality modeling as well as assist in the design of nearshore restoration scenarios.

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

    Broader source: 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.

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

    SciTech Connect (OSTI)

    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.

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

    Broader source: Energy.gov [DOE]

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

  20. 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. PDF icon EA-389-A ... Energy OE Docket No. EA-389 Great Bay Energy VI, LLC EA-342-A Royal Bank of Canada

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

    Open Energy Info (EERE)

    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...

  2. 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

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

    SciTech Connect (OSTI)

    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.

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

    SciTech Connect (OSTI)

    WADE C. ADAMS

    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.

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

    SciTech Connect (OSTI)

    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%.

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

    SciTech Connect (OSTI)

    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.

  7. HOOPER BAY HOUSING ANALYSIS AND ENERGY FEASIBILITY REPORT

    SciTech Connect (OSTI)

    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.

  8. CX-004312: Categorical Exclusion Determination

    Broader source: 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

  9. CX-007075: Categorical Exclusion Determination

    Broader source: 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

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

    SciTech Connect (OSTI)

    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.

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

    Broader source: Energy.gov [DOE]

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

  12. 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

  13. 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 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 display at the Make |

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

    SciTech Connect (OSTI)

    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.

  15. Fishery Resources Theodore R. Merrell, Jr. Northwest Fisheries Center, Auke Bay Fisheries

    Office of Legacy Management (LM)

    Fishery Resources Theodore R. Merrell, Jr. Northwest Fisheries Center, Auke Bay Fisheries of the ~ a b o r a t o r y , National ~ a r i n e Fisheries Sewice, National Ocear~ic and Atmospl~eric Administration, Vestern Aleutians Auke Bay, Alaska Tlte fishery resources in the zuestent Aleutian Islnnds are diverse, nbtrnrlant, nrid heavily exploited, primarily by Japanese nnd Soviet fishermen. Seven groups make u p the bulk of the crcrrent catch: snlmo~t (sockeye, chum, and pink), king crabs,

  16. DOE Announces JUMP Initiative Winners, Launches New Crowdsourcing Calls at Bay Area Maker Faire

    Broader source: Energy.gov [DOE]

    The Department of Energy’s Buildings Technologies Office announced the latest winners for its JUMP platform, an online crowdsourcing initiative aimed at advancing energy-efficient building technologies, during the 11th annual Bay Area Maker Faire in San Mateo, California.

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

    Broader source: Energy.gov [DOE]

    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.

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

    Broader source: 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.

  19. CX-010149: Categorical Exclusion Determination

    Broader source: 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

  20. CX-009558: Categorical Exclusion Determination

    Broader source: 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

  1. CX-010350: Categorical Exclusion Determination

    Broader source: 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-005035: Categorical Exclusion Determination

    Office of Energy Efficiency and Renewable Energy (EERE)

    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

  3. CX-013489: Categorical Exclusion Determination

    Broader source: 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

  4. CX-001612: Categorical Exclusion Determination

    Broader source: 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

  5. 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

  6. CX-004353: Categorical Exclusion Determination

    Broader source: 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

  7. 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

  8. CX-007990: Categorical Exclusion Determination

    Broader source: 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

  9. CX-000104: Categorical Exclusion Determination

    Broader source: 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

  10. CX-012000: Categorical Exclusion Determination

    Broader source: 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

  11. CX-003416: Categorical Exclusion Determination

    Broader source: 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

  12. 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

  13. CX-000599: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

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

  14. CX-005563: Categorical Exclusion Determination

    Broader source: 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

  15. CX-005555: Categorical Exclusion Determination

    Broader source: 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

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

    SciTech Connect (OSTI)

    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.

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

    SciTech Connect (OSTI)

    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.

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

    SciTech Connect (OSTI)

    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.

  19. Keweenaw Bay Indian Community: 'First Steps' Toward Tribal Weatherization Human Capacity Building

    Energy Savers [EERE]

    Keweenaw Bay Indian Community 'First Steps' Toward Tribal Weatherization Human Capacity Building Denver, CO - October 29 th , 2010 Debra L. Picciano . CAP Administrator Federally Recognized in 1934 Enrolled Members 3,500 - 1,200 on Rez. Land Base 59,071 Acres - 92 Sq. Miles Promote energy sufficiency in the community Increase staff knowledge base through training Expand energy efficiency programs Provide and Evaluate energy audits Collaborative Training Effort Involving: The Community Assistance

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

    Energy Savers [EERE]

    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

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

    Energy Savers [EERE]

    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

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

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

    Hydrogen-Storage Challenge Bay-Area National Labs Team to Tackle Long-Standing Automotive Hydrogen-Storage Challenge - Sandia Energy Energy Search Icon Sandia Home Locations Contact Us Employee Locator Energy & Climate Secure & Sustainable Energy Future Stationary Power Energy Conversion Efficiency Solar Energy Wind Energy Water Power Supercritical CO2 Geothermal Natural Gas Safety, Security & Resilience of the Energy Infrastructure Energy Storage Nuclear Power & Engineering

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

    SciTech Connect (OSTI)

    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.

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

    Broader source: 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.

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

    National Nuclear Security Administration (NNSA)

    storage challenge | National Nuclear Security Administration 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 storage. Sandia

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

    SciTech Connect (OSTI)

    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.

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

    SciTech Connect (OSTI)

    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.

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

    SciTech Connect (OSTI)

    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.

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

    SciTech Connect (OSTI)

    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.

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

    SciTech Connect (OSTI)

    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 of any carbon benefits produced via reforestation--these are outcomes over and above what is currently possible given existing market opportunities. This is reflected and further substantiated in the results of the forest cover change analysis, which demonstrated a decline in area of land in forest use in the study area for the 1987/88-2001 period. The project team collected data necessary to identify sites for reforestation in the study area, environmental data for the determining site suitability for a range of reforestation alternatives and has identified and addressed potential leakage and additionality issues associated with implementing a carbon sequestration project in the Chesapeake Rivers Conservation Area. Furthermore, carbon emissions reductions generated would have strong potential for recognition in existing reporting systems such as the U.S. Department of Energy 1605(b) voluntary reporting requirements and the Chicago Climate Exchange. The study identified 384,398 acres on which reforestation activities could potentially be sited. Of these candidate sites, sites totaling 26,105 acres are an appropriate size for management (> 100 acres) and located in priority conservation areas identified by The Nature Conservancy. Total carbon sequestration potential of reforestation in the study area, realized over a 100 year timeframe, ranges from 58 to 66 million tons of carbon dioxide equivalent, and on the priority sites alone, potential for carbon sequestration approaches or exceeds 4 million tons of carbon dioxide equivalent. In the absence of concerted reforestation efforts, coupled with policy strategies, the region will likely face continued declines in forest land.

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

    SciTech Connect (OSTI)

    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).

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

    SciTech Connect (OSTI)

    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.

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

    SciTech Connect (OSTI)

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

    Energy Savers [EERE]

    a m ESPC Success Stories Environmental Stewardship and Cost Savings These photographs chronicle the installation of the wind turbines at John Paul Jones Hill, Guantanamo Bay. The four wind turbine towers are about 185 feet high. The blade lengths are 90 feet. The top of the blades are about 275 feet off the g round. The blades rotate at a maximum of 22 RPM, or a rotation every three seconds. This translates to a blade tip speed of 140 mph. During construction there were as many as 20 workers on

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

    SciTech Connect (OSTI)

    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 (OSTI)

    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. CX-003544: Categorical Exclusion Determination

    Broader source: 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

  18. CX-002000: Categorical Exclusion Determination

    Broader source: 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

  19. CX-002374: Categorical Exclusion Determination

    Broader source: 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

  20. CX-100157 Categorical Exclusion Determination

    Broader source: 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

  1. CX-011388: Categorical Exclusion Determination

    Broader source: 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

  2. 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

  3. CX-002284: Categorical Exclusion Determination

    Broader source: 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

  4. CX-100195 Categorical Exclusion Determination

    Broader source: 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

  5. CX-000050: Categorical Exclusion Determination

    Broader source: 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

  6. CX-003626: Categorical Exclusion Determination

    Broader source: 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

  7. CX-004651: Categorical Exclusion Determination

    Broader source: 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

  8. CX-008378: Categorical Exclusion Determination

    Broader source: 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

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

    SciTech Connect (OSTI)

    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.

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

    SciTech Connect (OSTI)

    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.

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

    SciTech Connect (OSTI)

    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.

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

    SciTech Connect (OSTI)

    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)

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

    Broader source: 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.

  14. 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

  15. Daya Bay

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

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

    SciTech Connect (OSTI)

    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 from three middle Holocene sites located in the Bodega Dunes, and from three late Holocene sites, including Kili (CASON-299), the oldest known village site in the region. Bodega Bay (38 degrees 19 minutes N, 123 degrees 03 minutes W) is situated about 90 km north of San Francisco Bay, California (Figure 1). The Pacific, in conjunction with prominent geomorphological features, has given rise to a series of coastal habitats (e.g. semi-protected and protected shorelines) around Bodega Bay that are rather unique for the unprotected, surf swept rocky shores of northern California. This stretch of coastline also lies within a zone of particularly strong seasonal upwelling between Point Reyes Peninsula and Cape Mendocino; a region characterized by high Ekman transport (Huyer 1983), and high coastal concentrations of the nutrients silica and phosphate (van Geen and Husby 1996). The interaction between land and sea results in a productive marine ecosystem that has attracted hunter-gatherers for much of the Holocene.

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

    SciTech Connect (OSTI)

    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.

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

    SciTech Connect (OSTI)

    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.

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

    Broader source: 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.

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

    SciTech Connect (OSTI)

    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.

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

    SciTech Connect (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 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.

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

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

    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

  3. 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 (OSTI)

    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)

  4. 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 (OSTI)

    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.

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

    DOE Patents [OSTI]

    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.

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

    DOE Patents [OSTI]

    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.

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

    SciTech Connect (OSTI)

    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.

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

    SciTech Connect (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.; 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. New measurement of θ13 via neutron capture on hydrogen at Daya Bay

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

    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

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

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

    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

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

    SciTech Connect (OSTI)

    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.

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

    SciTech Connect (OSTI)

    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.

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

    SciTech Connect (OSTI)

    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.

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

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

    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

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

    SciTech Connect (OSTI)

    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.

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

    SciTech Connect (OSTI)

    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.

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

    SciTech Connect (OSTI)

    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.

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

    SciTech Connect (OSTI)

    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 storage space to allow the radioactivity to decay. For transport of reactor compartments at the shipyard, at the dock and at the storage facility, hydraulic keel blocks, developed and supplied by German subcontractors, are used. In July 2006 the first stage of the reactor compartment storage facility was commissioned and the first seven reactor compartments have been delivered from Nerpa shipyard. Following transports of reactor compartments to the storage facility are expected in 2007. (authors)

  19. Temperature determination using pyrometry

    DOE Patents [OSTI]

    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.

  20. NEPA Determination Complete

    Broader source: 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 ...

  1. Solids mass flow determination

    DOE Patents [OSTI]

    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.

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

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

    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 values. The modeling yielded a pooled cable depth below the bay floor of 2.06 m (±1.46 std dev), and estimated the angle to the horizontal of the imaginary line connecting the crosssectional center of the cable’s two conductors (0.1143 m apart) as 178.9° ±61.9° (std dev) for Ben, 78.6°±37.0° (std dev) for RSR, and 139.9°±27.4° (std dev) for SP. The mean of the eight daily average currents derived from the regressions was 986 ±185 amperes (A) (std dev), as compared to 722 ±95 A (std dev) provided by Trans Bay Cable LLC. Overall, the regressions based on fundamental principles (Biot Savart law) and the vectorial summation of cable and geomagnetic fields provide estimates of cable characteristics consistent with plausible expectations.« less

  3. 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 ...

  4. Categorical Exclusion Determinations: Minnesota | Department...

    Office of Environmental Management (EM)

    Minnesota Categorical Exclusion Determinations: Minnesota Location Categorical Exclusion Determinations issued for actions in Minnesota. DOCUMENTS AVAILABLE FOR DOWNLOAD December ...

  5. Waste Determination Equivalency - 12172

    SciTech Connect (OSTI)

    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 Secretary of Energy in January of 2006 based on proposed processing techniques with the expectation that it could be revised as new processing capabilities became viable. Once signed, however, it became evident that any changes would require lengthy review and another determination signed by the Secretary of Energy. With the maturation of additional salt removal technologies and the extension of the SWPF start-up date, it becomes necessary to define 'equivalency' to the processes laid out in the original determination. For the purposes of SRS, any waste not processed through Interim Salt Processing must be processed through SWPF or an equivalent process, and therefore a clear statement of the requirements for a process to be equivalent to SWPF becomes necessary. (authors)

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

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

    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. Interim Action Determination

    Energy Savers [EERE]

    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

  8. 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

  9. Award Fee Determination Summary

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

  10. Award Fee Determination Summary

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

  11. Categorical Exclusion Determinations: California | Department...

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

    ... February 25, 2016 CX-100493 Categorical Exclusion Determination Integrated Glass Coating ... February 25, 2016 CX-100514 Categorical Exclusion Determination Crop Protection Utilizing ...

  12. Categorical Exclusion Determinations: Connecticut | Department...

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

    August 11, 2014 CX-100033: Categorical Exclusion Determination "Smart" Matrix Development ... May 22, 2014 CX-012145: Categorical Exclusion Determination Connecticut Clean Cities ...

  13. Categorical Exclusion Determinations: Louisiana | Department...

    Office of Environmental Management (EM)

    March 4, 2016 CX-100533 Categorical Exclusion Determination Pump Station Improvements ... February 18, 2015 CX-100185 Categorical Exclusion Determination Pump Station Improvements ...

  14. 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 ...

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

    SciTech Connect (OSTI)

    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.

  16. 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 (OSTI)

    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.

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

    SciTech Connect (OSTI)

    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.

  18. Categorical Exclusion Determinations: Tennessee | Department...

    Energy Savers [EERE]

    February 26, 2016 CX-100506 Categorical Exclusion Determination Biofuel Micro-Refineries ... Low-Viscosity Oils for Automotive Engine and Rear Axle Lubrication for 4% Improved ...

  19. CX-012200: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

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

  20. CX-010689: Categorical Exclusion Determination

    Broader source: 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

  1. Categorical Exclusion Determinations: Environmental Management...

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

    ... September 13, 2011 CX-006990: Categorical Exclusion Determination Synthesis and Characterization of Coatings by Chemical Solution Deposition Methods CX(s) Applied: B3.6 Date: 09...

  2. Method of determining glass durability

    DOE Patents [OSTI]

    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.

  3. Method of determining glass durability

    DOE Patents [OSTI]

    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.

  4. Categorical Exclusion Determinations: Pennsylvania | Department...

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

    August 3, 2015 CX-100321 Categorical Exclusion Determination VOLTTRON Compatible Whole Building root-Fault Detection and Diagnosis Award Number: DE-EE0007135 CX(s) Applied: A9, ...

  5. CX-100604 Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Final Determination of Coverage for Miscellaneous Refrigeration Products RIN 1904-AC66 CX(s) Applied: A6 EERE-Buildings Technology Program Date: 05/04/2016 Location(s): Nationwide Office(s): Golden Field Office

  6. CX-000768: Categorical Exclusion Determination

    Broader source: 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

  7. 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

  8. CX-010776: Categorical Exclusion Determination

    Broader source: 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

  9. CX-010493: Categorical Exclusion Determination

    Broader source: 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

  10. Categorical Exclusion Determinations: Wisconsin | Department...

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

    ... March 4, 2015 CX-100191 Categorical Exclusion Determination Cost-Optimized Modular Helical Rotors Turbine-Generator System for Small Hydro Power Plants Award Number: DE-EE0006927 ...

  11. Categorical Exclusion Determinations: Nationwide | Department...

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

    March 25, 2016 CX-100584 Categorical Exclusion Determination Data Collection and Comparison with Forecasted Sales of Five Lamp Types RIN NA CX(s) Applied: A6 EERE-Buildings ...

  12. Categorical Exclusion Determinations: Massachusetts | Department...

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

    December 3, 2015 CX-100413 Categorical Exclusion Determination The French Modular Impoundment Award Number: DE-FOA-0007244 CX(s) Applied: A9, B3.6 Wind and Water Power Technologies ...

  13. CX-012121: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    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

  14. CX-004264: Categorical Exclusion Determination

    Broader source: 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

  15. Gender determination of avian embryo

    DOE Patents [OSTI]

    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.

  16. 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

    Broader source: 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.

  17. Molecular Foundry Bay Cam

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

    Broader source: 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 FOR DETERMINING CENTRIFUGE ALIGNMENT

    DOE Patents [OSTI]

    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.

  20. Categorical Exclusion Determinations: Health, Safety, and Security...

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

    Health, Safety, and Security Categorical Exclusion Determinations: Health, Safety, and Security Categorical Exclusion Determinations issued by Health, Safety, and Security. ...

  1. 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 ...

  2. 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...

  3. Categorical Exclusion Determinations: Strategic Petroleum Reserve...

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

    Strategic Petroleum Reserve Field Office Categorical Exclusion Determinations: Strategic Petroleum Reserve Field Office Categorical Exclusion Determinations issued by Strategic ...

  4. 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...

  5. 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 ...

  6. 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...

  7. Categorical Exclusion Determinations: Natural Gas Regulation...

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

    Natural Gas Regulation Categorical Exclusion Determinations: Natural Gas Regulation Categorical Exclusion Determinations issued by Natural Gas Regulation. DOCUMENTS AVAILABLE FOR ...

  8. Adjudicative Guidelines for Determining Eligibility for Access...

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

    Adjudicative Guidelines for Determining Eligibility for Access to Classified Information Adjudicative Guidelines for Determining Eligibility for Access to Classified Information ...

  9. 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 ...

  10. Categorical Exclusion Determinations: Energy Technology Engineering...

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

    Energy Technology Engineering Center Categorical Exclusion Determinations: Energy Technology Engineering Center Categorical Exclusion Determinations issued by Energy Technology ...

  11. Plasma digital density determining device

    DOE Patents [OSTI]

    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.

  12. 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

  13. 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

  14. 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

  15. CX-002598: Categorical Exclusion Determination

    Broader source: 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

  16. 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

  17. CX-011193: Categorical Exclusion Determination

    Broader source: 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

  18. 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

  19. CX-013440: Categorical Exclusion Determination

    Broader source: 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

  20. CX-000373: Categorical Exclusion Determination

    Broader source: 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

  1. CX-100312 Categorical Exclusion Determination

    Broader source: 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

  2. CX-012693: Categorical Exclusion Determination

    Broader source: 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

  3. CX-100019: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    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

  4. CX-100558 Categorical Exclusion Determination

    Broader source: 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

  5. 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 (OSTI)

    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).

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

    SciTech Connect (OSTI)

    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.

  7. Range determination for scannerless imaging

    DOE Patents [OSTI]

    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.

  8. Method for determining gene knockouts

    DOE Patents [OSTI]

    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.

  9. Method for determining gene knockouts

    DOE Patents [OSTI]

    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.

  10. Liquid chromatographic determination of water

    DOE Patents [OSTI]

    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.

  11. Liquid chromatographic determination of water

    DOE Patents [OSTI]

    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.

  12. RECORD OF CATEGORICAL EXCLUSION DETERMINATION

    Energy Savers [EERE]

    geological boring near 9 structure locations along the existing ED2-ED5 230-kV transmission line located in Pinal County, Arizona RECORD OF CATEGORICAL EXCLUSION DETERMINATION A, Proposed Action: Western proposes to do geologic borings within our right-of-way near structures 21/5,22/5,23/6,25/4,26/5,27/6,28/5,29/5 & 30/4 along the existing ED2-ED5 230-kV transmission line. This project involves accessing each bore hole location with a auger/drill rig and light crew trucks, setting up the

  13. Crystal face temperature determination means

    DOE Patents [OSTI]

    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.

  14. Determination of a mutational spectrum

    DOE Patents [OSTI]

    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.

  15. NREL: Climate Neutral Research Campuses - Determine Baseline...

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

    Determine Baseline Energy Consumption To create a climate action plan for your research campus, begin by determining current energy consumption and the resulting greenhouse gas ...

  16. 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 ...

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

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

    September 8, 2011 CX-009529: Categorical Exclusion Determination WVDP-2011-01 Erdman Brook ... September 8, 2011 CX-006811: Categorical Exclusion Determination Erdman Brook Erosion ...

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

    Office of Environmental Management (EM)

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

  19. Determinations and Coverage Rulemakings | Department of Energy

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

    Determinations and Coverage Rulemakings Determinations and Coverage Rulemakings The Energy Policy and Conservation Act (EPCA) (42 U.S.C. 6292(a)) contains a list of 19 consumer ...

  20. CX-011104: Categorical Exclusion Determination | Department of...

    Energy Savers [EERE]

    Coupled Thermo-Mechanical and Photo-Chemical Degradation Mechanisms that Determine ... coupled thermo-mechanical and photo-chemical degradation mechanisms that determine ...

  1. CX-007095: Categorical Exclusion Determination | Department of...

    Office of Environmental Management (EM)

    Determination CX-007095: Categorical Exclusion Determination Paving the Way with Propane: The AutoGas Corridor Development Program CX(s) Applied: B5.1 Date: 10132011...

  2. CX-007096: Categorical Exclusion Determination | Department of...

    Office of Environmental Management (EM)

    Determination CX-007096: Categorical Exclusion Determination Paving the Way with Propane: The AutoGas Corridor Development Program CX(s) Applied: B5.1 Date: 10132011...

  3. CX-011970: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-011970: Categorical Exclusion Determination Tuscarora Phase II Geothermal Observation Wells CX(s) Applied: B3.7 Date: 02222013 Location(s):...

  4. CX-001087: Categorical Exclusion Determination | Department of...

    Office of Environmental Management (EM)

    87: Categorical Exclusion Determination CX-001087: Categorical Exclusion Determination State of Nevada Energy Efficiency and Conservation Block Grant - American Recovery and...

  5. 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...

  6. 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...

  7. Categorical Exclusion Determinations: Florida | Department of...

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

    September 16, 2015 CX-100377 Categorical Exclusion Determination US-INDIA CONSORTIUM FOR ... September 8, 2015 CX-100367 Categorical Exclusion Determination US-India Consortium for ...

  8. 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...

  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. CX-008810: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-008810: Categorical Exclusion Determination One Nevada Optimization of Microwave Telecommunication System CX(s) Applied: B1.19, B4.6 Date: 05292012...

  11. Categorical Exclusion Determinations: Kentucky | Department of...

    Office of Environmental Management (EM)

    ... May 14, 2013 CX-010281: Categorical Exclusion Determination Low Temperature Nitrous Oxide ... Determination Cost-Effective Treatment of Flowback and Produced Water via an ...

  12. Crystal face temperature determination means

    DOE Patents [OSTI]

    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).

  13. 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 (OSTI)

    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.

  14. Ballistic projectile trajectory determining system

    DOE Patents [OSTI]

    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.

  15. Ballistic projectile trajectory determining system

    DOE Patents [OSTI]

    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.

  16. 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

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

    SciTech Connect (OSTI)

    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.

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

    SciTech Connect (OSTI)

    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 .

  19. Categorical Exclusion Determinations: B1.36

    Broader source: Energy.gov [DOE]

    B1.36: Determinations of excess real propertyDeterminations that real property is excess to the needs of DOE and, in the case of acquired real property, the subsequent reporting of such...

  20. CX-004531: Categorical Exclusion Determination | Department of...

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

    Determination CX-004531: Categorical Exclusion Determination Surprise Valley Multiple Use Geothermal Development CX(s) Applied: A9, B3.1, B5.12 Date: 11242010 Location(s):...

  1. 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...

  2. 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...

  3. Categorical Exclusion Determinations: Intelligence and Counterintelligence

    Energy Savers [EERE]

    | 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 |

    Energy Savers [EERE]

    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-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...

  6. Categorical Exclusion Determinations: Program and Field Offices |

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

    Department of Energy Determinations: Program and Field Offices Categorical Exclusion Determinations: Program and Field Offices This page contains links (below) to pages on DOE Program, Field, or Site Office websites containing the CX determinations required to be posted under this policy, and also some for which documentation and posting are optional, i.e., determinations involving classes of actions listed in Appendix A or made before the policy's effective date of November 2, 2009. You may

  7. 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

  8. POLICY GUIDANCE MEMORANDUM #26 Official Worksite Determinations |

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

    Department of Energy 6 Official Worksite Determinations POLICY GUIDANCE MEMORANDUM #26 Official Worksite Determinations The following information is provided to assist in determinations of official worksites for remote workers. This guidance applies to Federal employees and employees hired under the Intergovernmental Personnel Act (IPA). PDF icon POLICY GUIDANCE MEMORANDUM #26 Official Worksite Determinations Responsible Contacts Ahtora Brooks Human Resource Specialists E-mail

  9. Categorical Exclusion Determinations: Oregon | Department of...

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

    Recovery Act: Crump Geyser - High Precision Geophysics & ... Novel Hybrid Microbial Electrochemical System for Efficient ... Determination Microchannel Solar Receiver Development Award ...

  10. Categorical Exclusion Determinations: Advanced Technology Vehicles

    Energy Savers [EERE]

    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

  11. Categorical Exclusion Determinations: NNSA-Proliferation Detection |

    Energy Savers [EERE]

    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

  12. Marbled murrelet abundance and breeding activity at Naked Island, Prince William Sound, and Kachemak Bay, Alaska, before and after the Exxon Valdez oil spill. Bird study number 6. Exxon Valdez oil spill state/federal natural resource damage assessment final report

    SciTech Connect (OSTI)

    Kuletz, K.J.

    1994-08-01

    The author compared pre- and post-spill abundance and breeding activity of murrelets near the Naked Island group in central Prince William Sound, and in Kachemak Bay in lower Cook Inlet. Murrelet numbers at Naked Island were lower in 1989 than in 1978-1980 but not in 1990-1992. At Kachemak Bay, where oiling was minimal, murrelet densities did not change between 1988 and 1989. The results suggest that the murrelet population at Kachemak Bay, further removed temporally and spatially from the spill epicenter, was not affected as the Naked Island populations in 1989. Murrelet numbers were negatively correlated to numbers of boats at both study sites, and cleanup activities likely contributed to disruption in 1989.

  13. Categorical Exclusion Determinations: Southeastern Power Administration |

    Energy Savers [EERE]

    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 3, 2009 CX-000478: Categorical Exclusion Determination Proposed rate adjustment for the Jim Woodruff System CX(s) Applied: B4.3 Date: 08/03/2009 Location(s): Panhandle, Florida Office(s): Southeastern Power Administration

  14. 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)...

  15. CX-009019: Categorical Exclusion Determination | Department of...

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

    DEVELOPMENT AND FULL-SCALE TESTING CX-009001: Categorical Exclusion Determination Ammonia Sensors Based on Doped-Sol-Gel-Tipped Optical Fibers for Catalyst System Diagnostics

  16. Perlick: Noncompliance Determination (2013-SE-14001)

    Broader source: 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.

  17. Perlick: Noncompliance Determination (2013-SE-14002)

    Broader source: 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.

  18. Hydac: Noncompliance Determination (2012-SE-4107)

    Broader source: 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.

  19. Mueller Streamline: Noncompliance Determination (2011-SW-2802)

    Broader source: 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.

  20. Whirlpool: Noncompliance Determination (2013-SE-1420)

    Broader source: 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.

  1. 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):...

  2. CX-003980: Categorical Exclusion Determination | Department of...

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

    CX-003980: Categorical Exclusion Determination Integration of Advanced Logistical Systems ... a comprehensive biomass supply chain system through collecting and deliver of ...

  3. 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...

  4. 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) ...

  5. 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 ...

  6. 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 ...

  7. 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 ...

  8. Methods for threshold determination in multiplexed assays

    DOE Patents [OSTI]

    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.

  9. Categorical Exclusion Determinations: Idaho | Department of Energy

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

    ... June 18, 2015 CX-013839: Categorical Exclusion Determination Materials and Fuels Complex (MFC)-752 Analytical Laboratory Casting Laboratory Glovebox Heat Detection CX(s) Applied: ...

  10. 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) ...

  11. CX-100596 Categorical Exclusion Determination | Department of...

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

    by DOE under the Assisting Federal Facilities with Energy Conservation ... This conditional NEPA determination applies solely to preliminary design and project planning ...

  12. 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 ...

  13. 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 ...

  14. CX-000322: Categorical Exclusion Determination | Department of...

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

    CX-000322: Categorical Exclusion Determination Kentucky Revision 2 - Green Bank of Kentucky Date: 11232009 Location(s): Kentucky Office(s): Energy Efficiency and Renewable ...

  15. 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... ...

  16. CX-004649: Categorical Exclusion Determination | Department of...

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

    The Painesville Municipal Power Vanadium Redox Battery Demonstration Program CX(s) ... CX-006145: Categorical Exclusion Determination Fact Sheet: Vanadium Redox Battery ...

  17. Categorical Exclusion Determinations: Oklahoma | Department of...

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

    ... June 17, 2013 CX-010520: Categorical Exclusion Determination Silica Polymer Initiator ... PetrophysicsTight Rock Characterization for Improved Stimulation and Production ...

  18. Felix Storch: Noncompliance Determination (2010-SCE-0111)

    Broader source: 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.

  19. Morris: Noncompliance Determination (2013-SE-5403)

    Broader source: 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.

  20. 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):...

  1. CX-013404: Categorical Exclusion Determination | Department of...

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

    CX-013404: Categorical Exclusion Determination NARUCDOE Natural Gas Infrastructure and Liquefied Natural Gas Partnership CX(s) Applied: A9, A11 Date: 02092015 Location(s): ...

  2. CX-000294: Categorical Exclusion Determination | Department of...

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

    CX-000294: Categorical Exclusion Determination A Novel Biogas Desulphurization Sorbent ... gas, providing an essentially sulfur-free biogas for Direct Fuel Cell? power plants. ...

  3. CX-000293: Categorical Exclusion Determination | Department of...

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

    CX-000293: Categorical Exclusion Determination A Novel Biogas Desulphurization Sorbent ... gas, providing an essentially sulfur-free biogas for Direct Fuel Cell? power plants. ...

  4. 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...

  5. Categorical Exclusion Determinations: Bonneville Power Administration...

    Energy Savers [EERE]

    Power Administration July 9, 2015 CX-013781: Categorical Exclusion Determination Acquisition of Multiple Access Road Easements for the Holcomb-Naselle No. 1 Transmission Line ...

  6. 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 ...

  7. CX-003703: Categorical Exclusion Determination | Department of...

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

    Determination Florida Hydrogen Initiative - Florida Institute of Technology (Interdisciplinary Hydrogen and Fuel Cell Technology Academic Program) CX(s) Applied: A9 Date: 09...

  8. 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...

  9. CX-100138 Categorical Exclusion Determination | Department of...

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

    CX-100138 Categorical Exclusion Determination Sacrificial Protective Coating Materials ... a chemically resistant and anti-fouling coating for low-cost Weak Black Liquor (WBL) ...

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

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

    ... Texas, Massachusetts Offices(s): Golden Field Office November 27, 2013 CX-011733: Categorical Exclusion Determination Research Triangle Institute - High Operating Temperature ...

  11. Zoe Industries: Noncompliance Determination (2011-SW-2912)

    Broader source: 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.

  12. Arelik A.?: Compliance Determination (2010-SE-0105)

    Broader source: 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.

  13. Categorical Exclusion Determinations: Nuclear Energy | Department...

    Energy Savers [EERE]

    ... June 17, 2015 CX-013826: Categorical Exclusion Determination Assessment of Aging Degradation Mechanisms of Alloy 709 for Sodium Fast Reactors - Colorado School of Mines CX(s) ...

  14. 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...

  15. CX-006215: Categorical Exclusion Determination | Department of...

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

    CX-006215: Categorical Exclusion Determination Oklahoma State Energy Program American Recovery and Reinvestment Act - Oklahoma Department of Commerce Large System Application ...

  16. 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 ...

  17. CX-005432: Categorical Exclusion Determination | Department of...

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

    CX-005432: Categorical Exclusion Determination Oklahoma State Energy Program American Recovery and Reinvestment Act - Oklahoma Municipal Power Authority Large System Rebate Request ...

  18. CX-003838: Categorical Exclusion Determination | Department of...

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

    CX-003838: Categorical Exclusion Determination Demolition of the X-605 H Booster Pump ... The proposed action involves the demolition of the X-605 H Booster Pump House Building, ...

  19. ET Industries: Noncompliance Determination (2012-SE-2902)

    Broader source: 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.

  20. CX-009166: Categorical Exclusion Determination | Department of...

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

    CX-009166: Categorical Exclusion Determination Bioelectrochemical Integration of Waste Heat Recovery, Waste-to-Energy Conversion, and Waste-to-Chemical Conversion with Industrial ...

  1. Categorical Exclusion Determinations: New Jersey | Department...

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

    August 1, 2014 CX-012497: Categorical Exclusion Determination Geophysical and Mineralogical Controls on the Rheology of Fracture Slip... CX(s) Applied: B3.6 Date: 41852 ...

  2. 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. ...

  3. CX-002506: Categorical Exclusion Determination | Department of...

    Energy Savers [EERE]

    CX-002506: Categorical Exclusion Determination Rhode Island Commercial and Industrial Energy Efficiency Initiative CX(s) Applied: A9, A11, B5.1 Date: 06012010...

  4. CX-010272: Categorical Exclusion Determination | Department of...

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

    CX-010272: Categorical Exclusion Determination Chesapeake Light Tower Survey, ... The U.S. Department of Energy's (DOE) National Renewable Energy Laboratory is proposing to ...

  5. CX-001068: Categorical Exclusion Determination | Department of...

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

    CX-001068: Categorical Exclusion Determination Analysis of Energy, Environmental, and Life Cycle Cost Reduction Potential of Ground Source Heat Pumps in Hot and Humid Climate CX(s) ...

  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. 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) ...

  8. CX-100229 Categorical Exclusion Determination | Department of...

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

    CX-100229 Categorical Exclusion Determination Center for Ocean Renewable Energy (CORE) ... of New Hampshire (UNH) Center for Ocean Renewable Energy (CORE) to develop a tidal ...

  9. Categorical Exclusion Determinations: Missouri | Department of...

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

    March 7, 2016 CX-100535 Categorical Exclusion Determination Large Scale GSHP as Alternative Energy for American Farmers: Technical Demonstration & Business Approach Award Number: ...

  10. 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 - Otisco, New York; National Renewable Energy Laboratory Tracking Number 10-028 CX(s) ...

  11. Electrolux: Compliance Determination (2010-SE-0108)

    Broader source: 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.

  12. 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...

  13. 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...

  14. Categorical Exclusion Determinations: Alabama | Department of...

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

    ... September 17, 2013 CX-010944: Categorical Exclusion Determination Daikin Advanced Lithium Ion Battery Technology - High Voltage Electrolyte CX(s) Applied: B3.6 Date: 09172013 ...

  15. Categorical Exclusion Determinations: Illinois | Department of...

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

    ... March 9, 2015 CX-013445: Categorical Exclusion Determination Scale Up of Lithium Ion Battery Material Recycling, Building 369 CX(s) Applied: B3.6 Date: 03092015 ...

  16. Watermark: Noncompliance Determination (2011-SW-2908)

    Broader source: 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.

  17. Categorical Exclusion Determinations: Savannah River Operations...

    Office of Environmental Management (EM)

    Savannah River Operations Office Categorical Exclusion Determinations: Savannah River ... Install Concrete Block Bins for Additional Rock Storage at MOX Batch Plant CX(s) Applied: ...

  18. Caldicellulosiruptor Core and Pangenomes Reveal Determinants...

    Office of Scientific and Technical Information (OSTI)

    Journal Article: Caldicellulosiruptor Core and Pangenomes Reveal Determinants for Citation Details In-Document Search Title: Caldicellulosiruptor Core and Pangenomes Reveal ...

  19. Determining Memory Use | Argonne Leadership Computing Facility

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

  20. Categorical Exclusion Determinations: Maryland | Department of...

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

    ... May 27, 2014 CX-012134: Categorical Exclusion Determination Development of Advanced CFD Tools for Enhanced Prediction of Explosion Pressure Development and ... CX(s) Applied: A9, ...

  1. Categorical Exclusion Determinations: Ohio | Department of Energy

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

    ... August 12, 2014 CX-012681: Categorical Exclusion Determination Experimental Investigation and CFD Analysis of Steam Ingress Accidents in HTGRs - Ohio State University CX(s) ...

  2. CX-001207: Categorical Exclusion Determination | Department of...

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

    CX-001207: Categorical Exclusion Determination Grid-Scale Energy Storage Demonstration for ... of UltraBattery modules, integrated in a turnkey battery energy storage system (BESS). ...

  3. CX-009199: Categorical Exclusion Determination | Department of...

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

    CX-009199: Categorical Exclusion Determination Access Road Improvement For the ... Bonneville Power Administration proposes to perform access road maintenance on several ...

  4. Categorical Exclusion Determinations: Idaho Operations Office...

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

    May 5, 2015 CX-013679: Categorical Exclusion Determination In situ Raman Spectroscopy to Enhance Nuclear Materials Research and Education- University of Nevada Reno CX(s) Applied: ...

  5. Categorical Exclusion Determinations: Advanced Research Projects...

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

    ... November 19, 2013 CX-011740: Categorical Exclusion Determination Stanford University - Robust Multifunctional Battery Chassis Systems for Automotive Applications CX(s) Applied: ...

  6. Categorical Exclusion Determinations: Arkansas | Department of...

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

    ... February 7, 2011 CX-007795: Categorical Exclusion Determination Easement Acquisition, Carroll County, Arkansas CX(s) Applied: B1.24 Date: 02072011 Location(s): Arkansas ...

  7. Categorical Exclusion Determinations: Southwestern Power Administratio...

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

    ... February 7, 2011 CX-007795: Categorical Exclusion Determination Easement Acquisition, Carroll County, Arkansas CX(s) Applied: B1.24 Date: 02072011 Location(s): Arkansas ...

  8. 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 ...

  9. 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,...

  10. Categorical Exclusion Determinations: Vermont | Department of...

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

    January 27, 2016 CX-100465 Categorical Exclusion Determination Training for State Officials to Make Solar More Inclusive, Affordable, and Consumer Friendly Award Number: ...

  11. CX-002955: Categorical Exclusion Determination | Department of...

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

    CX-002955: Categorical Exclusion Determination Hawaii Hydrogen Power Park - Technology ... for use in the Hawaii Volcano National Park system (HAVO) on the Big Island of Hawaii. ...

  12. SOURCE AND PATHWAY DETERMINATION FOR BERYLLIUM FOUND IN BECHTEL NEVADA NORTH LAS VEGAS FACILITIES

    SciTech Connect (OSTI)

    BECHTEL NEVADA

    2004-07-01

    In response to the report ''Investigation of Beryllium Exposure Cases Discovered at the North Las Vegas Facility of the National Nuclear Security Administration'', published by the U.S. Department of Energy (DOE), National Nuclear Security Administration (NNSA) in August 2003, Bechtel Nevada (BN) President and General Manager Dr. F. A. Tarantino appointed the Beryllium Investigation & Assessment Team (BIAT) to identify both the source and pathway for the beryllium found in the North Las Vegas (NLV) B-Complex. From September 8 to December 18, 2003, the BIAT investigated the pathway for beryllium and determined that a number of locations existed at the Nevada Test Site (NTS) which could have contained sufficient quantities of beryllium to result in contamination if transported. Operations performed in the B-1 Building as a result of characterization activities at the Engine Maintenance, Assembly, and Disassembly (EMAD); Reactor Maintenance, Assembly, and Disassembly (RMAD); Test Cells A and C; and the Central Support Facility in Area 25 had the greatest opportunity for transport of beryllium. Investigative monitoring and sampling was performed at these sites with subsequent transport of sample materials, equipment, and personnel from the NTS to the B-1 Building. The timeline established by the BIAT for potential transport of the beryllium contamination into the B-1 Building was from September 1997 through November 2002. Based on results of recently completed swipe sampling, no evidence of transport of beryllium from test areas has been confirmed. Results less than the DOE beryllium action level of 0.2 ???g/100 cm2 were noted for work support facilities located in Area 25. All of the identified sites in Area 25 worked within the B-1 tenant's residency timeline have been remediated. Legacy contaminants have either been disposed of or capped with clean borrow material. As such, no current opportunity exists for release or spread of beryllium contamination. Historical records indicate that there are locations at the NTS which contain hazardous quantities of beryllium; however, because beryllium was not always considered a contaminant of concern, complete characterization was not performed prior to remediation efforts. Today, it is not practical to characterize Area 25 for beryllium due to the successful remediation. Analysis of sample data collected in B-1 for the BIAT was performed for the purpose of confirming past results and identifying a source of beryllium through the use of markers. The results confirmed the presence of man-made beryllium contamination in the B-1 High Bay at levels consistent with the NNSA Report. No source markers were found that would be associated with NTS historical nuclear rocket or weapons-related operations. Beryllium contamination was identified in the southwest area of the B-1 High Bay in characteristic association with materials handled during historic metal-working operations. Use of source marker analysis suggests a contributor of beryllium found in carpeted areas of the B-Complex may be naturally occurring. Naturally occurring beryllium is not regulated by Title 10 Code of Federal Regulations Part 850 (10 CFR 850) (see Appendix A). No current uncontrolled beryllium source or transport pathways have been identified as available for spread of contamination to uncontrolled areas from the NTS.

  13. Determination Of Ph Including Hemoglobin Correction

    DOE Patents [OSTI]

    Maynard, John D.; Hendee, Shonn P.; Rohrscheib, Mark R.; Nunez, David; Alam, M. Kathleen; Franke, James E.; Kemeny, Gabor J.

    2005-09-13

    Methods and apparatuses of determining the pH of a sample. A method can comprise determining an infrared spectrum of the sample, and determining the hemoglobin concentration of the sample. The hemoglobin concentration and the infrared spectrum can then be used to determine the pH of the sample. In some embodiments, the hemoglobin concentration can be used to select an model relating infrared spectra to pH that is applicable at the determined hemoglobin concentration. In other embodiments, a model relating hemoglobin concentration and infrared spectra to pH can be used. An apparatus according to the present invention can comprise an illumination system, adapted to supply radiation to a sample; a collection system, adapted to collect radiation expressed from the sample responsive to the incident radiation; and an analysis system, adapted to relate information about the incident radiation, the expressed radiation, and the hemoglobin concentration of the sample to pH.

  14. Determining Price Reasonableness in Federal ESPCs

    SciTech Connect (OSTI)

    Shonder, J.A.

    2005-03-08

    This document reports the findings and implementation recommendations of the Price Reasonableness Working Group to the Federal ESPC Steering Committee. The working group was formed to address concerns of agencies and oversight organizations related to pricing and fair and reasonable price determination in federal energy savings performance contracts (ESPCs). This report comprises the working group's recommendations and is the proposed draft of a training curriculum on fair and reasonable price determination for users of federal ESPCs. The report includes: (1) A review of federal regulations applicable to determining price reasonableness of federal ESPCs (section 2), (2) Brief descriptions of the techniques described in Federal Acquisition Regulations (FAR) 15.404-1 and their applicability to ESPCs (section 3), and (3) Recommended strategies and procedures for cost-effectively completing price reasonableness determinations (sections 4). Agencies have struggled with fair and reasonable price determinations in their ESPCs primarily because this alternative financing vehicle is relatively new and relatively rare in the federal sector. The methods of determining price reasonableness most familiar to federal contracting officers (price competition based on the government's design and specifications, in particular) are generally not applicable to ESPCs. The regulatory requirements for determining price reasonableness in federal ESPCs have also been misunderstood, as federal procurement professionals who are inexperienced with ESPCs are further confused by multiple directives, including Executive Order 13123, which stresses life-cycle cost-effectiveness. Uncertainty about applicable regulations and inconsistent practice and documentation among agencies have fueled claims that price reasonableness determinations have not been sufficiently rigorous in federal ESPCs or that the prices paid in ESPCs are generally higher than the prices paid for similar goods and services obtained through conventional procurements. While claims of excessive prices are largely unsubstantiated and based on anecdotal evidence, the perception that there is a problem is shared by many in the ESPC community and has been noted by auditors and oversight organizations. The Price Reasonableness Working Group determined that a more formal emphasis on FAR 15.404-1 in the ESPC process could remove much of the doubt about price reasonableness determinations. The working group's recommended consensus policy on price reasonableness stresses the price analysis techniques described in the FAR that are applicable to ESPCs and includes guidance for agencies use of these techniques in determining price reasonableness for their ESPC delivery orders. The recommended policy and guidance, if communicated to federal ESPC stakeholders, can ensure that agencies will comply with the FAR in awarding ESPCs, obtain fair and reasonable prices and best value for the government, and follow procedures that provide auditable documentation of due diligence in price reasonableness determinations.

  15. Haier: Noncompliance Determination (2011-SE-1408)

    Broader source: Energy.gov [DOE]

    DOE issued a Notice of Noncompliance Determination to Haier America Trading, L.L.C. finding that model number HNCM070, a chest freezer, does not comport with the energy conservation standards.

  16. Categorical Exclusion Determinations | Department of Energy

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

    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 ...

  17. CX-001862: Categorical Exclusion Determination | Department of...

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

    CX-001862: Categorical Exclusion Determination Clearwater Campus District Cooling - Activity 3 CX(s) Applied: B3.6, A1, B5.1 Date: 04192010 Location(s): Pinellas County, Florida ...

  18. Central Moloney: Noncompliance Determination (2013-SE-4702)

    Broader source: Energy.gov [DOE]

    DOE issued a Notice of Noncompliance Determination to Central Moloney, Inc. finding that liquid-immersed distribution transformer basic models 30300150 and 32500095 do not comport with the energy conservation standards.

  19. Everest Refrigeration: Noncompliance Determination (2015-SE-42001)

    Broader source: Energy.gov [DOE]

    DOE issued a Notice of Noncompliance Determination to Bu Sung America Corporation (dba Everest Refrigeration) finding that commercial refrigeration equipment model number ESGR3 does not comport with the energy conservation standards.

  20. Universal: Noncompliance Determination (2013-SE-26004)

    Broader source: Energy.gov [DOE]

    DOE issued a Notice of Noncompliance Determination to Universal Lighting Technologies, Inc. finding that fluorescent lamp ballast model B140R277HP does not comport with the energy conservation standards.

  1. Cooper: Noncompliance Determination (2012-SE-4701)

    Broader source: Energy.gov [DOE]

    DOE issued a Notice of Noncompliance Determination to Cooper Power Systems, LLC finding that basic models 277-99.28, 277-99.26, and 277-99.22 of distribution transformers do not comport with the energy conservation standards.

  2. Harrington: Noncompliance Determination (2014-SW-28011)

    Broader source: Energy.gov [DOE]

    DOE issued a Notice of Noncompliance Determination to Harrington Brass Works finding that kitchen faucet individual model 20-210-026 does not comport with the water conservation standards.

  3. Whirlpool: Compliance Determination (2010-SE-0103)

    Broader source: Energy.gov [DOE]

    DOE issued a Notice of Compliance Determination to Whirlpool Corporation after DOE testing confirmed that the Maytag refrigerator-freezer model MSD2578VE comports with the applicable energy conservation standard.

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

    Broader source: Energy.gov [DOE]

    DOE issued a Notice of Noncompliance Determination to Islandaire, Inc. finding that the Islandaire package terminal air conditioner basic model CPZ-07ANR1-B, which includes model EZDR07B, does not comport with the applicable energy conservation standards.

  5. Utility: Noncompliance Determination (2016-SE-42003)

    Broader source: Energy.gov [DOE]

    DOE issued a Notice of Noncompliance Determination to Utility Refrigerator finding that commercial refrigeration equipment basic model number PT-R-75-SS-3S-3S-N does not comport with the energy conservation standards.

  6. Bigwall: Noncompliance Determination (2014-SE-15006)

    Broader source: Energy.gov [DOE]

    DOE issued a Notice of Noncompliance Determination to Bigwall Enterprises, Inc. finding that PerfectAire brand model PACH8000 ("Bigwall model PACH8000") of room air conditioners do not comport with the energy conservation standards.

  7. Mile High: Noncompliance Determination (2012-SE-4501)

    Broader source: Energy.gov [DOE]

    DOE issued a Notice of Noncompliance Determination to Mile High Equipment, LLC finding that Ice-O-Matic brand automatic commercial ice maker basic model ICE2106 FW, HW does not comport with the energy conservation standards.

  8. Sunshine Lighting: Noncompliance Determination (2014-SE-54008)

    Broader source: Energy.gov [DOE]

    DOE issued a Notice of Noncompliance Determination to Sunshine Lighting Company finding that Sunlite brand metal halide lamp fixture basic models 04937-SU, 04938-SU, 04952 SU, and 04956 SU do not comport with the energy conservation standards.

  9. Engineered Products: Noncompliance Determination (2012-SE-5401)

    Broader source: Energy.gov [DOE]

    DOE issued a Notice of Noncompliance Determination to Engineered Products Company finding that basic model 15701 of metal halide lamp fixture does not comport with the energy conservation standards.

  10. CX-007373: Categorical Exclusion Determination | Department of...

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

    CX-007373: Categorical Exclusion Determination Minnesota-City-Lakeville CX(s) Applied: B1.32, B2.5, B5.1 Date: 11222011 Location(s): Minnesota Offices(s): Energy Efficiency and ...

  11. CX-006218: Categorical Exclusion Determination | Department of...

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

    CX-006218: Categorical Exclusion Determination Aptera All-Electric and Hybrid Electric Vehicles CX(s) Applied: B1.31, B5.1 Date: 06202011 Location(s): Grand Rapids, Michigan ...

  12. CX-007065: Categorical Exclusion Determination | Department of...

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

    Categorical Exclusion Determination Slipstream Pilot-Scale Demonstration of a Novel Amine-Based Post-Combustion Technology for Carbon Dioxide Capture CX(s) Applied: B3.6...

  13. Categorical Exclusion Determinations: Other Location | Department...

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

    Propulsion Program March 27, 2015 CX-013774: Categorical Exclusion Determination Contra Costa Soil Testing and Equipment Upgrades CX(s) Applied: B4.6, B4.11 Date: 03272015 ...

  14. CX-002794: Categorical Exclusion Determination | Department of...

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

    CX-002794: Categorical Exclusion Determination Advanced Implementation of A123's Community Energy Storage (CES) System for Grid Support CX(s) Applied: B4.6, B5.1 Date: 06252010 ...

  15. CX-010745: Categorical Exclusion Determination | Department of...

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

    CX-010745: Categorical Exclusion Determination America Saves Energizing Main Street Small Businesses CX(s) Applied: A9, A11 Date: 08162013 Location(s): CX: none Offices(s): ...

  16. Fuzhou Sunlight: Noncompliance Determination (2010-SE-1402)

    Broader source: Energy.gov [DOE]

    DOE issued a Notice of Noncompliance Determination to Fuzhou Sunlight Lighting Electrical Appliance Co., Ltd. finding that a variety of models of incandescent reflector lamps do not comport with the energy conservation standards.

  17. Haier: Noncompliance Determination (2011-SE-1428)

    Broader source: Energy.gov [DOE]

    DOE issued a Notice of Noncompliance Determination to Haier America Trading, LLC finding that Haier model HMCM106EA, a freezer, does not comport with the energy conservation standards.

  18. Aspen: Noncompliance Determination (2010-SE-0305)

    Broader source: Energy.gov [DOE]

    DOE issued a Notice of Noncompliance Determination to Aspen Manufacturing finding that a variety of basic models of split-system air conditioning heat pumps do not comport with the energy conservation standards.

  19. CX-007529: Categorical Exclusion Determination | Department of...

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

    CX-007529: Categorical Exclusion Determination Missouri-City-St. Charles CX(s) Applied: ... efficient lighting at City Hall, 2) develop and write "green" building codes for the city. ...

  20. Categorical Exclusion Determinations: Golden Field Office | Department...

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

    31, 2015 CX-100349 Categorical Exclusion Determination Advanced Trough with Lower-cost System-architecture (ATLAS) Award Number: DE-EE0007121 CX(s) Applied: A9, B3.6, B5.17...

  1. Categorical Exclusion (CX) Determinations By Date | Department...

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

    31, 2015 CX-100349 Categorical Exclusion Determination Advanced Trough with Lower-cost System-architecture (ATLAS) Award Number: DE-EE0007121 CX(s) Applied: A9, B3.6, B5.17...

  2. Categorical Exclusion Determinations: Kansas City Site Office...

    Energy Savers [EERE]

    April 1, 2014 CX-012094: Categorical Exclusion Determination Project 1612B Removal and Disposal of Polychlorinated Biphenyls Contaminated Equipment CX(s) Applied: B1.17 Date: 04...

  3. Categorical Exclusion Determinations: West Virginia | Department...

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

    September 2, 2014 CX-012402: Categorical Exclusion Determination B-33 Roof Replacement and Fall Protection System Installation CX(s) Applied: B1.3, B2.2, B2.3 Date: 41884 ...

  4. YMGI: Noncompliance Determination (2011-SCE-1605)

    Broader source: Energy.gov [DOE]

    DOE issued a Notice of Noncompliance Determination to YMGI Group, LLC, finding that YMGI's through-the-wall split system central air conditioner basic model TTWC-18K-31B fails to meet applicable DOE energy conservation standards.

  5. Categorical Exclusion Determinations: Golden Field Office | Department...

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

    Determination Current Energy Harnessing using Synergistic Kinematics of Schools of Fish-Shaped Bodies Award Number: DE-EE0006780 CX(s) Applied: A9, B3.6 Date: 12112014...

  6. Categorical Exclusion Determinations: NNSA-Headquarters | Department...

    Energy Savers [EERE]

    February 8, 2013 CX-010705: Categorical Exclusion Determination National Laser Facility Program Funding Opportunity CX(s) Applied: A1, A9, A11, B3.6 Date: 02082013 Location(s): ...

  7. Categorical Exclusion Determinations: Lawrence Livermore Site...

    Energy Savers [EERE]

    April 16, 2015 CX-013666: Categorical Exclusion Determination Ground-Based Laser Field Experiments CX(s) Applied: B3.11 Date: 04162015 Location(s): California Offices(s): ...

  8. CX-010658: Categorical Exclusion Determination | Department of...

    Office of Environmental Management (EM)

    CX-010658: Categorical Exclusion Determination Analytical Development Laser Maintenance CX(s) Applied: B3.6 Date: 06172013 Location(s): South Carolina Offices(s): Savannah River ...

  9. Cone Penetrometer N Factor Determination Testing Results

    SciTech Connect (OSTI)

    Follett, Jordan R.

    2014-03-05

    This document contains the results of testing activities to determine the empirical 'N Factor' for the cone penetrometer in kaolin clay simulant. The N Factor is used to releate resistance measurements taken with the cone penetrometer to shear strength.

  10. Felix Storch: Noncompliance Determination (2011-SE-1420)

    Broader source: Energy.gov [DOE]

    DOE issued a Notice of Noncompliance Determination to Felix Storch, Inc., finding that model number CF11ES, a chest freezer does not comport with the energy conservation standards.

  11. SRS FTF Section 3116 Basis for Determination

    Broader source: Energy.gov [DOE]

    Basis for Section 3116 Determination for Closure of F-Tank Farm at the Savannah River Site. In accordance with NDAA Section 3116, certain waste from reprocessing of spent nuclear fuel is not high...

  12. Categorical Exclusion Determinations: Nebraska | Department of...

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

    June 23, 2014 CX-012279: Categorical Exclusion Determination Vertically Aligned Carbon-Nanotubes Embedded in Ceramic Matrices for Hot Electrode Applications CX(s) Applied: B3.6 ...

  13. CX-100101: Categorical Exclusion Determination | Department of...

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

    CX-100101: Categorical Exclusion Determination Laufer Wind Group NWTC Structure Lighting Tests; NREL Tracking No. 13-014 Award Number: DE-AC36-08GO28308 CX(s) Applied: A9, B1.31, ...

  14. CX-100252 Categorical Exclusion Determination | Department of...

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

    CX-100252 Categorical Exclusion Determination NREL - NWTC Site 3.3 Cable Repair; NREL Tracking No. 15-019 Award Number: DE-AC36-08GO28308 DOEEA 1914 (NREL NWTC) National Renewable ...

  15. CX-001062: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination High-Temperature, High-Pressure Devices for Zonal Isolation in Geothermal Wells CX(s) Applied: A9, B3.6 Date: 03102010 Location(s): Lafayette, Colorado...

  16. CX-009921: Categorical Exclusion Determination | Department of...

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

    CX-009921: Categorical Exclusion Determination Technology Research, Development and Tools for Clean Biomass Cookstoves CX(s) Applied: A9, B3.6, B5.15 Date: 01072013...

  17. CX-100270 Categorical Exclusion Determination | Department of...

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

    Determination Proposed Rulemaking for Energy Conservation Standards for Ceiling Fan Light Kits RIN: 1904-AC87 CX(s) Applied: B5.1 EERE- Buildings Technology Program Date:...

  18. CX-100231 Categorical Exclusion Determination | Department of...

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

    CX-100231 Categorical Exclusion Determination STM FTLB Groundwater Monitoring Wells, NREL Tracking No. 15-016 Award Number: DE-AC36-08GO28308 CX(s) Applied: B3.1 National...

  19. Lutron Electronics: Noncompliance Determination (2012-SE-3796)

    Broader source: Energy.gov [DOE]

    DOE issued a Notice of Noncompliance Determination to Lutron Electronics Co., Inc. finding that a variety of Class A external power supply basic models do not comport with the energy conservation standards.

  20. Categorical Exclusion Determinations: Nevada Site Office | Department...

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

    October 28, 2009 CX-001377: Categorical Exclusion Determination Nevada Test Site, Area 12 Camp Cafeteria Renovation CX(s) Applied: B1.3 Date: 10282009 Location(s): Nevada ...

  1. Hicon: Noncompliance Determination (2013-SE-1426)

    Broader source: Energy.gov [DOE]

    DOE issued a Notice of Noncompliance Determination to Ningbo Hicon International Industry Company, Ltd. finding that model number BD-200, a compact chest freezer, does not comport with the energy conservation standards.

  2. Categorical Exclusion Determinations: Alaska | Department of...

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

    ... July 19, 2012 CX-008577: Categorical Exclusion Determination Acoustic Monitoring of Beluga Whale Interactions with Cook Inlet Tidal Energy Project CX(s) Applied: B3.3 Date: 0719...

  3. Precision: Noncompliance Determination (2013-SE-1410)

    Broader source: Energy.gov [DOE]

    DOE issued a Notice of Noncompliance Determination to Precision Trading Corp. finding that Precision brand model Premium PFR515M, a freezer, does not comport with the energy conservation standards.

  4. Patterson: Noncompliance Determination (2011-SW-2911)

    Broader source: Energy.gov [DOE]

    DOE issued a Notice of Noncompliance Determination to Dan Patterson finding that the "ThunderHead" showerhead basic model manufactured by ET Industries, Inc. and imported by Dan Patterson does not comport with the water conservation standards.

  5. Categorical Exclusion Determinations: Loan Guarantee Program...

    Energy Savers [EERE]

    January 24, 2012 CX-007677: Categorical Exclusion Determination Project Eagle Phase 1 Direct WaferCell Solar Facility CX(s) Applied: B1.31 Date: 01242012 Location(s): ...

  6. Categorical Exclusion Determinations: Delaware | Department of...

    Office of Environmental Management (EM)

    ... August 26, 2011 CX-006578: Categorical Exclusion Determination Delaware State Energy Office Sub GranteeBridgeville Well Pump Replacement CX(s) Applied: B5.1 Date: 08262011 ...

  7. Categorical Exclusion Determinations: Iowa | Department of Energy

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

    October 25, 2013 CX-011288: Categorical Exclusion Determination 2009 National Biodiesel Foundation Biodiesel Infrastructure Project CX(s) Applied: B5.2, B5.22 Date: 10252013 ...

  8. Bigwall: Noncompliance Determination (2013-SE-1412)

    Broader source: Energy.gov [DOE]

    DOE issued a Notice of Noncompliance Determination to Bigwall Enterprises, Inc. finding that freezer model W1CF106 under the Wellington brand (''the Wellington W1CF106") does not comport with the energy conservation standards.

  9. Categorical Exclusion (CX) Determinations By Date | Department...

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

    Categorical Exclusion Determination Reducing Soft Costs through Hardware Innovation - Phase II Award Number: DE- EE-0007199 CX(s) Applied: A9, B3.6 Solar Energy Technologies...

  10. CX-003841: Categorical Exclusion Determination | Department of...

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

    CX-003841: Categorical Exclusion Determination Demolition and Removal of the X-230J9 North ... Office The demolition and removal of the X-230J9 North Environmental Sampling Building ...

  11. CX-008246: Categorical Exclusion Determination | Department of...

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

    Determination Recovery Act: Tennessee Energy Efficient Schools Initiative Ground Source Heat Pump Program CX(s) Applied: A9, B2.1, B5.19 Date: 05152012 Location(s): Tennessee...

  12. CX-008246: Categorical Exclusion Determination | Department of...

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

    CX-008246: Categorical Exclusion Determination Recovery Act: Tennessee Energy Efficient Schools Initiative Ground Source Heat Pump Program CX(s) Applied: A9, B2.1, B5.19 Date: 05...

  13. Categorical Exclusion Determinations: Michigan | Department of...

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

    March 3, 2016 CX-100561 Categorical Exclusion Determination Current Energy Harnessing using Synergistic Kinematics of Schools of Fish-Shaped Bodies Award Number: DE-EE0006780 CX(s) ...

  14. Categorical Exclusion Determinations: Texas | Department of Energy

    Office of Environmental Management (EM)

    ... June 17, 2015 CX-100294 Categorical Exclusion Determination Texturizing Wind Turbine Towers ... Convert BMT-4 to External Floating Roof Tank (BM-MM-740) (BMT-4) CX(s) Applied: B1.3 ...

  15. Categorical Exclusion Determinations: New Hampshire | Department...

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

    ... November 15, 2011 CX-007727: Categorical Exclusion Determination Dartmouth College - Nanocrystalline T-MnAl Permanent Magnets CX(s) Applied: A9, B3.6 Date: 11152011 Location(s): ...

  16. CX-009154: Categorical Exclusion Determination | Department of...

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

    CX-009154: Categorical Exclusion Determination Scale-up of Novel Low-Cost Carbon Fibers Leading to High-Volume Commercial Launch CX(s) Applied: A9, B3.6 Date: 09052012 ...

  17. Midea: Noncompliance Determination (2010-SE-0110)

    Broader source: Energy.gov [DOE]

    DOE issued a Notice of Noncompliance Determination to Midea America Corporation finding that basic model number HS-390C, a chest freezer, does not comport with the energy conservation standards.

  18. FY 14 Award Fee Determination Scorecard

    Office of Environmental Management (EM)

    14 Award Fee Determination Scorecard Contractor: Swift and Staley Inc. (SST) Contract: DE-AC30-10CC40021 Award Period: October 1,2013 - September 30,2014 Basis of Evaluation: FY 14 ...

  19. Categorical Exclusion (CX) Determinations By Date | Department...

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

    Categorical Exclusion Determination Highly Active, Durable, and Ultra-low PGM NSTF Thin Film ORR Catalysts and Supports Award Number: DE-FOA-0007270 CX(s) Applied: A9, B3.6...

  20. Categorical Exclusion Determinations: Golden Field Office | Department...

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

    Categorical Exclusion Determination Highly Active, Durable, and Ultra-low PGM NSTF Thin Film ORR Catalysts and Supports Award Number: DE-FOA-0007270 CX(s) Applied: A9, B3.6...

  1. Golden Opportunity: Noncompliance Determination (2013-SE-1418)

    Broader source: Energy.gov [DOE]

    DOE issued a Notice of Noncompliance Determination to Golden Opportunity, Inc. finding that freezer models Golden GFC51 and Golden GFC69 do not comport with the energy conservation standards.

  2. Simkar: Noncompliance Determination (2012-SE-5408)

    Broader source: Energy.gov [DOE]

    DOE issued a Notice of Noncompliance Determination to Simkar Corporation finding that magnetic probe-start and pulse-start basic models of metal halide lamp fixtures do not comport with the energy conservation standards.

  3. Categorical Exclusion Determinations: Colorado | Department of...

    Office of Environmental Management (EM)

    March 7, 2016 CX-100538 Categorical Exclusion Determination ESIF Window Retrofit; NREL Tracking No. 14-018 Award Number: DE-AC36-08GO28308 CX(s) Applied: B1.20 National Renewable ...

  4. Categorical Exclusion Determinations: Hawaii | Department of...

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

    April 6, 2016 CX-100590 Categorical Exclusion Determination Ocean Energy Demonstration of the Ocean Energy (OE) Buoy at US Navy's Wave Energy Test Site Award Number: DE-EE0006924 ...

  5. CX-002682: Categorical Exclusion Determination | Department of...

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

    CX-002682: Categorical Exclusion Determination Landfill Gas Utilization Project CX(s) Applied: B5.1 Date: 06082010 Location(s): Madison County, New York Office(s): Energy ...

  6. CX-006627: Categorical Exclusion Determination | Department of...

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

    CX-006627: Categorical Exclusion Determination Elverta Maintenance Facility Remodel CX(s) Applied: B1.4, B1.15, B2.1, B2.3, B2.5 Date: 08242011 Location(s): Sacramento County, ...

  7. Categorical Exclusion Determinations: RMOTC | Department of Energy

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

    Applied: B5.4, B5.6 Date: 12302013 Location(s): Wyoming Offices(s): RMOTC July 26, 2013 CX-010688: Categorical Exclusion Determination Optimization Project 3 CX(s) Applied: ...

  8. CX-006232: Categorical Exclusion Determination | Department of...

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

    CX-006232: Categorical Exclusion Determination Town of Glocester CX(s) Applied: B5.1 Date: 07012011 Location(s): Chapachet, Rhode Island Office(s): Energy Efficiency and ...

  9. CX-002776: Categorical Exclusion Determination | Department of...

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

    CX-002776: Categorical Exclusion Determination California-City-Elk Grove CX(s) Applied: B2.5, A9, A11, B5.1 Date: 06152010 Location(s): Elk Grove, California Office(s): Energy ...

  10. CX-006217: Categorical Exclusion Determination | Department of...

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

    CX-006217: Categorical Exclusion Determination OPOC Engine Manufacturing Project CX(s) Applied: B1.31, B5.1 Date: 06162011 Location(s): Troy, Michigan Office(s): Advanced ...

  11. CX-003520: Categorical Exclusion Determination | Department of...

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

    CX-003520: Categorical Exclusion Determination Pontiac High School Geothermal CX(s) Applied: B5.1 Date: 08262010 Location(s): Pontiac, Illinois Office(s): Energy Efficiency and ...

  12. CX-008030: Categorical Exclusion Determination | Department of...

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

    CX-008030: Categorical Exclusion Determination Energy Retrofits CX(s) Applied: B5.1 Date: 12012011 Location(s): Nationwide Offices(s): Energy Efficiency and Renewable Energy ...

  13. Midea: Noncompliance Determination (2012-SE-1404)

    Office of Energy Efficiency and Renewable Energy (EERE)

    DOE issued a Notice of Noncompliance Determination to Midea America Corp. finding that basic models UL-WD195-D and UL-WD145-D of freezers do not comport with the energy conservation standards.

  14. CX-012666: Categorical Exclusion Determination | Department of...

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

    CX-012666: Categorical Exclusion Determination Carib Energy (USA) LLC CX(s) Applied: B5.7 Date: 41789 Location(s): Florida Offices(s): Fossil Energy Carib Energy (USA), LLC, a ...

  15. CX-009911: Categorical Exclusion Determination | Department of...

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

    CX-009911: Categorical Exclusion Determination Geothermal Retrofit of Illinois National Guard's State Headquarters Building CX(s) Applied: A9, B2.1, B5.19 Date: 01142013 ...

  16. CX-004355: Categorical Exclusion Determination | Department of...

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

    CX-004355: Categorical Exclusion Determination Performance Contracting Energy AuditsRetrofitting City Buildings CX(s) Applied: A1, A9, B1.2, B1.4, B2.5, B5.1 Date: 11022010 ...

  17. Philips: Noncompliance Determination (2012-SE-2605)

    Broader source: Energy.gov [DOE]

    DOE issued a Notice of Noncompliance Determination to Philips Lighting Electronics N. A. finding that basic model VEL-I S40-SC, a fluorescent lamp ballast, does not comport with the energy conservation standards.

  18. LG: Noncompliance Determination (2014-SE-15011)

    Broader source: Energy.gov [DOE]

    DOE issued a Notice of Noncompliance Determination to LG Electronics USA, Inc. finding that room air conditioner basic model LT143CNR does not comport with the energy conservation standards.

  19. Categorical Exclusion Determinations: New Mexico | Department...

    Office of Environmental Management (EM)

    ... July 1, 2014 CX-012357: Categorical Exclusion Determination Shiprock Substation Stormwater Erosion Control Maintenance, San Juan County, New Mexico CX(s) Applied: B1.33 Date: 07...

  20. Categorical Exclusion Determinations: Montana | Department of...

    Energy Savers [EERE]

    March 11, 2015 CX-013448: Categorical Exclusion Determination Taft Substation Retaining Wall and Stormwater Maintenance Project CX(s) Applied: B1.3 Date: 03112015 Location(s): ...