National Library of Energy BETA

Sample records for land-use exclusions scenario

  1. Environmental assessment of spatial plan policies through land use scenarios

    SciTech Connect (OSTI)

    Geneletti, Davide

    2012-01-15

    This paper presents a method based on scenario analysis to compare the environmental effects of different spatial plan policies in a range of possible futures. The study aimed at contributing to overcome two limitations encountered in Strategic Environmental Assessment (SEA) for spatial planning: poor exploration of how the future might unfold, and poor consideration of alternative plan policies. Scenarios were developed through what-if functions and spatial modeling in a Geographical Information System (GIS), and consisted in maps that represent future land uses under different assumptions on key driving forces. The use of land use scenarios provided a representation of how the different policies will look like on the ground. This allowed gaining a better understanding of the policies' implications on the environment, which could be measured through a set of indicators. The research undertook a case-study approach by developing and assessing land use scenarios for the future growth of Caia, a strategically-located and fast-developing town in rural Mozambique. The effects of alternative spatial plan policies were assessed against a set of environmental performance indicators, including deforestation, loss of agricultural land, encroachment of flood-prone areas and wetlands and access to water sources. In this way, critical environmental effects related to the implementation of each policy were identified and discussed, suggesting possible strategies to address them. - Graphical abstract: Display Omitted Research Highlights: Black-Right-Pointing-Pointer The method contributes to two critical issues in SEA: exploration of the future and consideration of alternatives. Black-Right-Pointing-Pointer Future scenarios are used to test the environmental performance of different spatial plan policies in uncertainty conditions. Black-Right-Pointing-Pointer Spatially-explicit land use scenarios provide a representation of how different policies will look like on the ground.

  2. Scenarios of Future Socio-Economics, Energy, Land Use, and Radiative Forcing

    SciTech Connect (OSTI)

    Eom, Jiyong; Moss, Richard H.; Edmonds, James A.; Calvin, Katherine V.; Clarke, Leon E.; Dooley, James J.; Kim, Son H.; Kopp, Roberrt; Kyle, G. Page; Luckow, Patrick W.; Patel, Pralit L.; Thomson, Allison M.; Wise, Marshall A.; Zhou, Yuyu

    2013-04-13

    This chapter explores uncertainty in future scenarios of energy, land use, emissions and radiative forcing that span the range in the literature for radiative forcing, but also consider uncertainty in two other dimensions, challenges to mitigation and challenges to adaptation. We develop a set of six scenarios that we explore in detail including the underlying the context in which they are set, assumptions that drive the scenarios, the Global Change Assessment Model (GCAM), used to produce quantified implications for those assumptions, and results for the global energy and land-use systems as well as emissions, concentrations and radiative forcing. We also describe the history of scenario development and the present state of development of this branch of climate change research. We discuss the implications of alternative social, economic, demographic, and technology development possibilities, as well as potential stabilization regimes for the supply of and demand for energy, the choice of energy technologies, and prices of energy and agricultural commodities. Land use and land cover will also be discussed with the emphasis on the interaction between the demand for bioenergy and crops, crop yields, crop prices, and policy settings to limit greenhouse gas emissions.

  3. Experimental Design for CMIP6: Aerosol, Land Use, and Future Scenarios Final Report

    SciTech Connect (OSTI)

    Arnott, James

    2015-10-30

    The Aspen Global Change Institute hosted a technical science workshop entitled, “Experimental design for CMIP6: Aerosol, Land Use, and Future Scenarios,” on August 3-8, 2014 in Aspen, CO. Claudia Tebaldi (NCAR) and Brian O’Neill (NCAR) served as co-chairs for the workshop. The Organizing committee also included Dave Lawrence (NCAR), Jean-Francois Lamarque (NCAR), George Hurtt (University of Maryland), & Detlef van Vuuren (PBL Netherlands Environmental Change). The meeting included the participation of 22 scientists representing many of the major climate modeling centers for a total of 110 participant days.

  4. Harmonization of Land-Use Scenarios for the Period 1500-2100: 600 Years of Global Gridded Annual Land-Use Transitions, Wood Harvest, and Resulting Secondary Lands

    SciTech Connect (OSTI)

    Hurtt, George; Chini, Louise Parsons; Frolking, Steve; Betts, Richard; Feddema, Johannes; Fischer, Gavin M.; Fisk, J.P.; Hibbard, Kathleen A.; Houghton, R. A.; Janetos, Anthony C.; Jones, C.; Kindermann, G.; Kinoshita, Tsuguki; Goldeweijk, Kees K.; Riahi, Keywan; Shevliakova, Elena; Smith, Steven J.; Stehfest, Eike; Thomson, Allison M.; Thornton, P.; Van Vuuren, Detlef; Wang, Y.

    2011-08-08

    In preparation for the fifth Assessment Report (AR5) of the Intergovernmental Panel on Climate Change (IPCC), the international community is developing new advanced Earth System Models (ESM) to assess the combined effects of human activities (e.g. land use and fossil fuel emissions) on the carbon-climate system. In addition, four Representative Concentration Pathway (RCP) scenarios of the future (2005-2100) are being provided by four Integrated Assessment Model (IAM) teams to be used as input to the ESMs for future carbon-climate projections (Moss et al., 2010). The diversity of approaches and requirements among IAMs and ESMs for tracking land-use change, along with the dependence of model projections on land-use history, presents a challenge for effectively passing data between these communities and for smoothly transitioning from the historical estimates to future projections. Here, a harmonized set of land-use scenarios are presented that smoothly connects historical reconstructions of land use with future projections, in the format required by ESMs.

  5. Accounting for radiative forcing from albedo change in future global land-use scenarios

    SciTech Connect (OSTI)

    Jones, Andrew D.; Calvin, Katherine V.; Collins, William D.; Edmonds, James A.

    2015-08-01

    We demonstrate the effectiveness of a new method for quantifying radiative forcing from land use and land cover change (LULCC) within an integrated assessment model, the Global Change Assessment Model (GCAM). The method relies on geographically differentiated estimates of radiative forcing from albedo change associated with major land cover transitions derived from the Community Earth System Model. We find that conversion of 1 km² of woody vegetation (forest and shrublands) to non-woody vegetation (crops and grassland) yields between 0 and –0.71 nW/m² of globally averaged radiative forcing determined by the vegetation characteristics, snow dynamics, and atmospheric radiation environment characteristic within each of 151 regions we consider globally. Across a set of scenarios designed to span a range of potential future LULCC, we find LULCC forcing ranging from –0.06 to –0.29 W/m² by 2070 depending on assumptions regarding future crop yield growth and whether climate policy favors afforestation or bioenergy crops. Inclusion of this previously uncounted forcing in the policy targets driving future climate mitigation efforts leads to changes in fossil fuel emissions on the order of 1.5 PgC/yr by 2070 for a climate forcing limit of 4.5 Wm–2, corresponding to a 12–67 % change in fossil fuel emissions depending on the scenario. Scenarios with significant afforestation must compensate for albedo-induced warming through additional emissions reductions, and scenarios with significant deforestation need not mitigate as aggressively due to albedo-induced cooling. In all scenarios considered, inclusion of albedo forcing in policy targets increases forest and shrub cover globally.

  6. Future land use plan

    SciTech Connect (OSTI)

    1995-08-31

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

  7. Energy and land use

    SciTech Connect (OSTI)

    Not Available

    1981-12-01

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

  8. Land-use Leakage

    SciTech Connect (OSTI)

    Calvin, Katherine V.; Edmonds, James A.; Clarke, Leon E.; Bond-Lamberty, Benjamin; Kim, Son H.; Wise, Marshall A.; Thomson, Allison M.; Kyle, G. Page

    2009-12-01

    Leakage occurs whenever actions to mitigate greenhouse gas emissions in one part of the world unleash countervailing forces elsewhere in the world so that reductions in global emissions are less than emissions mitigation in the mitigating region. While many researchers have examined the concept of industrial leakage, land-use policies can also result in leakage. We show that land-use leakage is potentially as large as or larger than industrial leakage. We identify two potential land-use leakage drivers, land-use policies and bioenergy. We distinguish between these two pathways and run numerical experiments for each. We also show that the land-use policy environment exerts a powerful influence on leakage and that under some policy designs leakage can be negative. International offsets are a potential mechanism to communicate emissions mitigation beyond the borders of emissions mitigating regions, but in a stabilization regime designed to limit radiative forcing to 3.7 2/m2, this also implies greater emissions mitigation commitments on the part of mitigating regions.

  9. Geothermal/Land Use | Open Energy Information

    Open Energy Info (EERE)

    GeothermalLand Use < Geothermal(Redirected from Land Use) Redirect page Jump to: navigation, search REDIRECT GeothermalLand Use Planning Retrieved from "http:en.openei.orgw...

  10. csp land use | OpenEI Community

    Open Energy Info (EERE)

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

  11. Oak Ridge reservation land-use plan

    SciTech Connect (OSTI)

    Bibb, W. R.; Hardin, T. H.; Hawkins, C. C.; Johnson, W. A.; Peitzsch, F. C.; Scott, T. H.; Theisen, M. R.; Tuck, S. C.

    1980-03-01

    This study establishes a basis for long-range land-use planning to accommodate both present and projected DOE program requirements in Oak Ridge. In addition to technological requirements, this land-use plan incorporates in-depth ecological concepts that recognize multiple uses of land as a viable option. Neither environmental research nor technological operations need to be mutually exclusive in all instances. Unique biological areas, as well as rare and endangered species, need to be protected, and human and environmental health and safety must be maintained. The plan is based on the concept that the primary use of DOE land resources must be to implement the overall DOE mission in Oak Ridge. This document, along with the base map and overlay maps, provides a reasonably detailed description of the DOE Oak Ridge land resources and of the current and potential uses of the land. A description of the land characteristics, including geomorphology, agricultural productivity and soils, water courses, vegetation, and terrestrial and aquatic animal habitats, is presented to serve as a resource document. Essentially all DOE land in the Oak Ridge area is being fully used for ongoing DOE programs or has been set aside as protected areas.

  12. Land-use Scenario Analysis Toolkit | Open Energy Information

    Open Energy Info (EERE)

    and Energy Global Change Assessment Model (GCAM) Dynamic-recursive model GCAM Model Pacific Northwest National Laboratory Resources by Type Tools Click Sort key.JPG to sort by...

  13. Solar Land Use | Open Energy Information

    Open Energy Info (EERE)

    Solar Land Use Jump to: navigation, search (The following text is derived from a National Renewable Energy Laboratory report on solar land use in the United States.)1 One concern...

  14. Land-Use Change and Bioenergy

    SciTech Connect (OSTI)

    2011-07-01

    This publication describes the Biomass Program’s efforts to examine the intersection of land-use change and bioenergy production. It describes legislation requiring land-use change assessments, key data and modeling challenges, and the research needs to better assess and understand the impact of bioenergy policy on land-use decisions.

  15. GCAM Bioenergy and Land Use Modeling

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

    GCAM Bioenergy and Land Use Modeling March 25, 2015 Analysis and Sustainability PI: Marshall Wise Pacific Northwest National Laboratory This presentation does not contain any ...

  16. Land-Use Change Data Analysis

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

    Objective Develop innovative and science-based approaches to estimate changes in land use pattern using data mining and machine learning techniques on satellite data. History- Two ...

  17. Land Use and Land Cover Change

    SciTech Connect (OSTI)

    Brown, Daniel; Polsky, Colin; Bolstad, Paul V.; Brody, Samuel D.; Hulse, David; Kroh, Roger; Loveland, Thomas; Thomson, Allison M.

    2014-05-01

    A contribution to the 3rd National Climate Assessment report, discussing the following key messages: 1. Choices about land-use and land-cover patterns have affected and will continue to affect how vulnerable or resilient human communities and ecosystems are to the effects of climate change. 2. Land-use and land-cover changes affect local, regional, and global climate processes. 3. Individuals, organizations, and governments have the capacity to make land-use decisions to adapt to the effects of climate change. 4. Choices about land use and land management provide a means of reducing atmospheric greenhouse gas levels.

  18. Hawaii State Land Use Commission | Open Energy Information

    Open Energy Info (EERE)

    Hawaii State Land Use Commission Jump to: navigation, search Name: State Land Use Commission Abbreviation: LUC Place: Honolulu, Hawaii References: State Land Use Commission -...

  19. Geothermal/Land Use Planning | Open Energy Information

    Open Energy Info (EERE)

    Land Use Planning < Geothermal(Redirected from GeothermalLand Use) Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Land Use Planning Leasing Exploration Well Field...

  20. Land use and environmental impacts of decentralized solar energy use

    SciTech Connect (OSTI)

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

    1980-01-01

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

  1. solar land use | OpenEI Community

    Open Energy Info (EERE)

    solar land use Home Rosborne318's picture Submitted by Rosborne318(5) Member 2 December, 2013 - 11:06 Request for Information Renewable Energy GenerationProduction Shreveport...

  2. Land Use License | Open Energy Information

    Open Energy Info (EERE)

    navigation, search OpenEI Reference LibraryAdd to library Legal Document- OtherOther: Land Use LicenseLegal Published NA Year Signed or Took Effect 2013 Legal Citation Not...

  3. pv land use | OpenEI Community

    Open Energy Info (EERE)

    pv land use Home Rosborne318's picture Submitted by Rosborne318(5) Member 2 December, 2013 - 11:06 Request for Information Renewable Energy GenerationProduction Shreveport Airport...

  4. Agriculture, land use, and commercial biomass energy

    SciTech Connect (OSTI)

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

    1996-06-01

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

  5. An integrated computer modeling environment for regional land use, air quality, and transportation planning

    SciTech Connect (OSTI)

    Hanley, C.J.; Marshall, N.L.

    1997-04-01

    The Land Use, Air Quality, and Transportation Integrated Modeling Environment (LATIME) represents an integrated approach to computer modeling and simulation of land use allocation, travel demand, and mobile source emissions for the Albuquerque, New Mexico, area. This environment provides predictive capability combined with a graphical and geographical interface. The graphical interface shows the causal relationships between data and policy scenarios and supports alternative model formulations. Scenarios are launched from within a Geographic Information System (GIS), and data produced by each model component at each time step within a simulation is stored in the GIS. A menu-driven query system is utilized to review link-based results and regional and area-wide results. These results can also be compared across time or between alternative land use scenarios. Using this environment, policies can be developed and implemented based on comparative analysis, rather than on single-step future projections. 16 refs., 3 figs., 2 tabs.

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

    SciTech Connect (OSTI)

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

    2010-06-01

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

  7. Land Use Baseline Report Savannah River Site

    SciTech Connect (OSTI)

    Noah, J.C.

    1995-06-29

    This document is to serve as a resource for Savannah River Site managers, planners, and SRS stakeholders by providing a general description of the site and land-use factors important to future use decisions and plans. The intent of this document is to be comprehensive in its review of SRS and the surrounding area.

  8. Agriculture and Land Use National Greenhouse Gas Inventory Software...

    Open Energy Info (EERE)

    Agriculture and Land Use National Greenhouse Gas Inventory Software Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Agriculture and Land Use National Greenhouse Gas...

  9. RAPID/Geothermal/Land Use/Federal | Open Energy Information

    Open Energy Info (EERE)

    RAPIDGeothermalLand UseFederal < RAPID | Geothermal | Land Use Jump to: navigation, search RAPID Regulatory and Permitting Information Desktop Toolkit BETA About Bulk...

  10. ORS 197 - Comprehensive Land Use Planning | Open Energy Information

    Open Energy Info (EERE)

    197 - Comprehensive Land Use Planning Jump to: navigation, search OpenEI Reference LibraryAdd to library Legal Document- StatuteStatute: ORS 197 - Comprehensive Land Use...

  11. California Land Use Planning Information Network | Open Energy...

    Open Energy Info (EERE)

    Land Use Planning Information Network Jump to: navigation, search OpenEI Reference LibraryAdd to library Legal Document- OtherOther: California Land Use Planning Information...

  12. Geothermal/Land Use Planning | Open Energy Information

    Open Energy Info (EERE)

    GeothermalLand Use Planning < Geothermal Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Land Use Planning Leasing Exploration Well Field Power Plant Grid Connection...

  13. Montana - Land Use License Application | Open Energy Information

    Open Energy Info (EERE)

    Land Use License Application Jump to: navigation, search OpenEI Reference LibraryAdd to library General: Montana - Land Use License Application Author Montana Department of Natural...

  14. Soil carbon sequestration and land use change associated with...

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

    Soil carbon sequestration and land use change associated with biofuel production: empirical evidence Title Soil carbon sequestration and land use change associated with biofuel...

  15. Vermont Land Use: Essentials of Local Land Use Planning and Regulation...

    Open Energy Info (EERE)

    Use: Essentials of Local Land Use Planning and Regulation Jump to: navigation, search OpenEI Reference LibraryAdd to library PermittingRegulatory Guidance - GuideHandbook:...

  16. GCAM 3.0 Agriculture and Land Use: Data Sources and Methods

    SciTech Connect (OSTI)

    Kyle, G. Page; Luckow, Patrick; Calvin, Katherine V.; Emanuel, William R.; Nathan, Mayda; Zhou, Yuyu

    2011-12-12

    This report presents the data processing methods used in the GCAM 3.0 agriculture and land use component, starting from all source data used, and detailing all calculations and assumptions made in generating the model inputs. The report starts with a brief introduction to modeling of agriculture and land use in GCAM 3.0, and then provides documentation of the data and methods used for generating the base-year dataset and future scenario parameters assumed in the model input files. Specifically, the report addresses primary commodity production, secondary (animal) commodity production, disposition of commodities, land allocation, land carbon contents, and land values.

  17. File:01LandUseOverview.pdf | Open Energy Information

    Open Energy Info (EERE)

    1LandUseOverview.pdf Jump to: navigation, search File File history File usage Metadata File:01LandUseOverview.pdf Size of this preview: 463 599 pixels. Other resolution: 464 ...

  18. H.R.S. 205 - Land Use | Open Energy Information

    Open Energy Info (EERE)

    5 - Land Use Jump to: navigation, search OpenEI Reference LibraryAdd to library Legal Document- StatuteStatute: H.R.S. 205 - Land UseLegal Published NA Year Signed or Took Effect...

  19. Title 36 CFR 251 Land Uses | Open Energy Information

    Open Energy Info (EERE)

    51 Land Uses Jump to: navigation, search OpenEI Reference LibraryAdd to library Legal Document- Federal RegulationFederal Regulation: Title 36 CFR 251 Land UsesLegal Abstract...

  20. Alaska Department of Natural Resources Land Use Planning Webpage...

    Open Energy Info (EERE)

    OpenEI Reference LibraryAdd to library Web Site: Alaska Department of Natural Resources Land Use Planning Webpage Abstract This webpage provides an overview of Alaska's land use...

  1. Title 50 CFR 29 Land Use Management | Open Energy Information

    Open Energy Info (EERE)

    9 Land Use Management Jump to: navigation, search OpenEI Reference LibraryAdd to library Legal Document- RegulationRegulation: Title 50 CFR 29 Land Use ManagementLegal Abstract...

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

    SciTech Connect (OSTI)

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

    2009-10-14

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

  3. Scenario Jedi

    Broader source: Energy.gov [DOE]

    This document summarizes an overview of the Scenario Solar PV Jobs and Economic Development Impact (JEDI) Model work.

  4. Agriculture, Land Use, Energy and Carbon Emission Impacts of Global Biofuel Mandates to Mid-Century

    SciTech Connect (OSTI)

    Wise, Marshall A.; Dooley, James J.; Luckow, Patrick; Calvin, Katherine V.; Kyle, G. Page

    2014-02-01

    Three potential future scenarios of expanded global biofuel production are presented here utilizing the GCAM integrated assessment model. These scenarios span a range that encompasses on the low end a continuation of existing biofuel production policies to two scenarios that would require an expansion of current targets as well as an extension of biofuels targets to other regions of the world. Conventional oil use is reduced by 4-8% in the expanded biofuel scenarios, which results in a decrease of in CO2 emissions on the order of 1-2 GtCO2/year by mid-century from the global transportation sector. The regional distribution of crop production is relatively unaffected, but the biofuels targets do result in a marked increase in the production of conventional crops used for energy. Producer prices of sugar and corn reach levels about 12% and 7% above year 2005 levels, while the increased competition for land causes the price of food crops such as wheat, although not used for bioenergy in this study, to increase by 1 to 2%. The amount of land devoted to growing all food crops and dedicated bioenergy crops is increased by about 10% by 2050 in the High biofuel case, with concurrent decreases in other uses of land such as forest and pasture. In both of the expanded biofuels cases studied, there is an increase in net cumulative carbon emissions for the first couple of decades due to these induced land use changes. However, the difference in net cumulative emissions from the biofuels expansion decline by about 2035 as the reductions in energy system emissions exceed further increases in emissions from land use change. Even in the absence of a policy that would limit emissions from land use change, the differences in net cumulative emissions from the biofuels scenarios reach zero by 2050, and are decreasing further over time in both cases.

  5. INL Comprehensive Land Use and Environmental Stewardship Report

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

    INL Land Use Committees. For more details, go to: https:inlportal.inl.govportalserver.ptcommunityhome 255cluesreport. Editorial Date September 1, 2011 By Brad Bugger...

  6. Bureau of Land Management - Land Use Planning Handbook | Open...

    Open Energy Info (EERE)

    to library PermittingRegulatory Guidance - GuideHandbook: Bureau of Land Management - Land Use Planning HandbookPermittingRegulatory GuidanceGuideHandbook Abstract...

  7. EIS-0222: Hanford Comprehensive Land-Use Plan

    Broader source: Energy.gov [DOE]

    DOE has prepared the EIS to evaluate the potential environmental impacts associated with implementing a comprehensive land-use plan (CLUP) for the Hanford Site for at least the next 50 years. DOE is expected to use this land-use plan in its decision-making process to establish what is the “highest and best use” of the land (41 Code of Federal Regulations [CFR] 101-47, “Federal Property Management Regulations”). The final selection of a land-use map, land-use policies, and implementing procedures would create the working CLUP when they are adopted through the ROD for the EIS.

  8. Oregon Land Use Compatibility Statement for Onsite Wastewater...

    Open Energy Info (EERE)

    Permits Jump to: navigation, search OpenEI Reference LibraryAdd to library Form: Oregon Land Use Compatibility Statement for Onsite Wastewater Treatment System Permits Abstract...

  9. RAPID/BulkTransmission/Land Use | Open Energy Information

    Open Energy Info (EERE)

    RAPIDBulkTransmissionLand Use < RAPID | BulkTransmission Jump to: navigation, search RAPID Regulatory and Permitting Information Desktop Toolkit BETA About Bulk Transmission...

  10. RAPID/Geothermal/Land Use | Open Energy Information

    Open Energy Info (EERE)

    RAPIDGeothermalLand Use < RAPID | Geothermal Jump to: navigation, search RAPID Regulatory and Permitting Information Desktop Toolkit BETA About Bulk Transmission Geothermal...

  11. Accuracy Assessment for Forest and Land Use Maps (English version...

    Open Energy Info (EERE)

    www.leafasia.orglibraryusaid-leaf-accuracy-assessment-forest-and-lan Cost: Free Language: English Accuracy Assessment for Forest and Land Use Maps (English version)...

  12. Geothermal Direct-Use — Minimizing Land Use and Impact

    Broader source: Energy.gov [DOE]

    With geothermal direct-use applications, land use issues usually only arise during exploration and development when geothermal reservoirs are located in or near urbanized areas, critical habitat...

  13. Oregon Land Use Compatibility Statements Website | Open Energy...

    Open Energy Info (EERE)

    Statements Website Jump to: navigation, search OpenEI Reference LibraryAdd to library Web Site: Oregon Land Use Compatibility Statements Website Author Oregon Department of...

  14. Mitigation Options in Forestry, Land-Use, Change and Biomass Burning in Africa

    SciTech Connect (OSTI)

    Makundi, Willy R.

    1998-06-01

    Mitigation options to reduce greenhouse gas emissions and sequester carbon in land use sectors are describe in some detail. The paper highlights those options in the forestry sector, which are more relevant to different parts of Africa. It briefly outlines a bottom-up methodological framework for comprehensively assessing mitigation options in land use sectors. This method emphasizes the application of end-use demand projections to construct a baseline and mitigation scenarios and explicitly addresses the carbon storage potential on land and in wood products, as well as use of wood to substitute for fossil fuels. Cost-effectiveness indicators for ranking mitigation options are proposed, including those, which account for non-carbon monetary benefits such as those derived from forest products, as well as opportunity cost of pursuing specific mitigation option. The paper finally surveys the likely policies, barriers and incentives to implement such mitigation options in African countries .

  15. Greenhouse gas policy influences climate via direct effects of land-use change

    SciTech Connect (OSTI)

    Jones, Andrew D.; Collins, William D.; Edmonds, James A.; Torn, Margaret S.; Janetos, Anthony C.; Calvin, Katherine V.; Thomson, Allison M.; Chini, Louise M.; Mao, Jiafu; Shi, Xiaoying; Thornton, Peter; Hurtt, George; Wise, Marshall A.

    2013-06-01

    Proposed climate mitigation measures do not account for direct biophysical climate impacts of land-use change (LUC), nor do the stabilization targets modeled for the 5th Climate Model Intercomparison Project (CMIP5) Representative Concentration Pathways (RCPs). To examine the significance of such effects on global and regional patterns of climate change, a baseline and alternative scenario of future anthropogenic activity are simulated within the Integrated Earth System Model, which couples the Global Change Assessment Model, Global Land-use Model, and Community Earth System Model. The alternative scenario has high biofuel utilization and approximately 50% less global forest cover compared to the baseline, standard RCP4.5 scenario. Both scenarios stabilize radiative forcing from atmospheric constituents at 4.5 W/m2 by 2100. Thus, differences between their climate predictions quantify the biophysical effects of LUC. Offline radiative transfer and land model simulations are also utilized to identify forcing and feedback mechanisms driving the coupled response. Boreal deforestation is found to strongly influence climate due to increased albedo coupled with a regional-scale water vapor feedback. Globally, the alternative scenario yields a 21st century warming trend that is 0.5 °C cooler than baseline, driven by a 1 W/m2 mean decrease in radiative forcing that is distributed unevenly around the globe. Some regions are cooler in the alternative scenario than in 2005. These results demonstrate that neither climate change nor actual radiative forcing are uniquely related to atmospheric forcing targets such as those found in the RCP’s, but rather depend on particulars of the socioeconomic pathways followed to meet each target.

  16. Land Use and Water Efficiency in Current and Potential Future...

    Office of Scientific and Technical Information (OSTI)

    Water Efficiency in Current and Potential Future U.S. Corn and Brazilian Sugarcane Ethanol Systems (Poster) Citation Details In-Document Search Title: Land Use and Water Efficiency ...

  17. Town of Chapel Hill- Land-Use Management Ordinance

    Broader source: Energy.gov [DOE]

    In 2003, the Town of Chapel Hill adopted a land-use management ordinance that includes prohibitions against neighborhood or homeowners association covenants or other conditions of sale that...

  18. Application for State Land Use Lease: Commercial/Multi-Family...

    Open Energy Info (EERE)

    CommercialMulti-Family Jump to: navigation, search OpenEI Reference LibraryAdd to library Reference: Application for State Land Use Lease: CommercialMulti-Family Published...

  19. Bureau of Land Management - Land Use Planning | Open Energy Informatio...

    Open Energy Info (EERE)

    Planning Jump to: navigation, search OpenEI Reference LibraryAdd to library Web Site: Bureau of Land Management - Land Use Planning Abstract The BLM's Resource Management Plans...

  20. Alaska Department of Natural Resources Land Use Plans | Open...

    Open Energy Info (EERE)

    Plans Jump to: navigation, search OpenEI Reference LibraryAdd to library Web Site: Alaska Department of Natural Resources Land Use Plans Published Publisher Not Provided, Date Not...

  1. Savannah River Site Land Use Plan - May, 2013 i SRNS-RP-2013-00162

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

    Savannah River Site Land Use Plan - May, 2013 i SRNS-RP-2013-00162 Savannah River Site Land Use Plan - May, 2013 i Table of Contents 1.0 - Purpose p1 2.0 - Executive Summary p1 3.0 - SRS Land Use Overview p5 Assumptions Current Land Use Leases, Transfers and Other Land Use Actions Future Land Use Land Use Issues 4.0 - Land Use Planning and Control for Existing Missions p13 Cleanup, Production and Support Missions Natural and Cultural Resource Management 5.0 - Process for Future Land Use Changes

  2. Integrated Assessment Modeling of Carbon Sequestration and Land Use Emissions Using Detailed Model Results and Observations

    SciTech Connect (OSTI)

    Dr. Atul Jain

    2005-04-17

    This report outlines the progress on the development and application of Integrated Assessment Modeling of Carbon Sequestrations and Land Use Emissions supported by the DOE Office of Biological and Environmental Research (OBER), U.S. Department of Energy, Grant No. DOE-DE-FG02-01ER63069. The overall objective of this collaborative project between the University of Illinois at Urbana-Champaign (UIUC), Oak Ridge National Laboratory (ORNL), Lawrence Livermore National Laboratory (LLNL), and Pacific Northwest National Laboratory (PNNL) was to unite the latest advances in carbon cycle research with scientifically based models and policy-related integrated assessment tools that incorporate computationally efficient representations of the latest knowledge concerning science and emission trajectories, and their policy implications. As part of this research we accomplished the following tasks that we originally proposed: (1) In coordination with LLNL and ORNL, we enhanced the Integrated Science Assessment Model's (ISAM) parametric representation of the ocean and terrestrial carbon cycles that better represent spatial and seasonal variations, which are important to study the mechanisms that influence carbon sequestration in the ocean and terrestrial ecosystems; (2) Using the MiniCAM modeling capability, we revised the SRES (IPCC Special Report on Emission Scenarios; IPCC, 2000) land use emission scenarios; and (3) On the application front, the enhanced version of ISAM modeling capability is applied to understand how short- and long-term natural carbon fluxes, carbon sequestration, and human emissions contribute to the net global emissions (concentrations) trajectories required to reach various concentration (emission) targets. Under this grant, 21 research publications were produced. In addition, this grant supported a number of graduate and undergraduate students whose fundamental research was to learn a disciplinary field in climate change (e.g., ecological dynamics and ocean circulations) and then complete research on how this field could be linked to the other factors we need to consider in its dynamics (e.g., land use, ocean and terrestrial carbon sequestration and climate change).

  3. Idaho National Laboratory Comprehensive Land Use and Environmental Stewardship Report

    SciTech Connect (OSTI)

    No name listed on publication

    2011-08-01

    Land and facility use planning and decisions at the Idaho National Laboratory (INL) Site are guided by a comprehensive site planning process in accordance with Department of Energy Policy 430.1, 'Land and Facility Use Policy,' that integrates mission, economic, ecologic, social, and cultural factors. The INL Ten-Year Site Plan, prepared in accordance with Department of Energy Order 430.1B, 'Real Property Asset Management,' outlines the vision and strategy to transform INL to deliver world-leading capabilities that will enable the Department of Energy to accomplish its mission. Land use planning is the overarching function within real property asset management that integrates the other functions of acquisition, recapitalization, maintenance, disposition, real property utilization, and long-term stewardship into a coordinated effort to ensure current and future mission needs are met. All land and facility use projects planned at the INL Site are considered through a formal planning process that supports the Ten-Year Site Plan. This Comprehensive Land Use and Environmental Stewardship Report describes that process. The land use planning process identifies the current condition of existing land and facility assets and the scope of constraints across INL and in the surrounding region. Current land use conditions are included in the Comprehensive Land Use and Environmental Stewardship Report and facility assets and scope of constraints are discussed in the Ten-Year Site Plan. This report also presents the past, present, and future uses of land at the INL Site that are considered during the planning process, as well as outlining the future of the INL Site for the 10, 30, and 100-year timeframes.

  4. Employment and land-use impacts of resource program elements

    SciTech Connect (OSTI)

    Shankle, S A; Baechler, M C; Blondin, D W; Grover, S E

    1992-03-01

    The Pacific Northwest Laboratory (PNL) evaluated several power resource alternatives under consideration by the Bonneville Power Administration in its Resource Program Environmental Impact Statement (RPEIS). The purpose of this evaluation was to determine the potential impacts of each alternative in terms of land use and employment. We reviewed the literature that describes land-use and employment impacts to derive estimates of each type of effect. These estimates were scaled to a per-megawatt basis for use as multipliers in the RPEIS analysis. Multipliers for employment were taken from the literature and developed from power plant capital cost estimates. Land-use multipliers were taken from the literature or estimated from existing plants. In this report we compared information sources and estimates to develop the most applicable multipliers. Employment levels required (in terms of employee years per MW of plant capacity) for the construction and operation phases of each energy-generating resource alternative analyzed are shown. The amounts of land required (in terms of acres per MW capacity) for the construction and operation phases of each energy-generating resource alternatives analyzed are also shown.

  5. Tropical Africa: Land use, biomass, and carbon estimates for 1980

    SciTech Connect (OSTI)

    Brown, S.; Gaston, G.; Daniels, R.C.

    1996-06-01

    This document describes the contents of a digital database containing maximum potential aboveground biomass, land use, and estimated biomass and carbon data for 1980 and describes a methodology that may be used to extend this data set to 1990 and beyond based on population and land cover data. The biomass data and carbon estimates are for woody vegetation in Tropical Africa. These data were collected to reduce the uncertainty associated with the possible magnitude of historical releases of carbon from land use change. Tropical Africa is defined here as encompassing 22.7 x 10{sup 6} km{sup 2} of the earth`s land surface and includes those countries that for the most part are located in Tropical Africa. Countries bordering the Mediterranean Sea and in southern Africa (i.e., Egypt, Libya, Tunisia, Algeria, Morocco, South Africa, Lesotho, Swaziland, and Western Sahara) have maximum potential biomass and land cover information but do not have biomass or carbon estimate. The database was developed using the GRID module in the ARC/INFO{sup TM} geographic information system. Source data were obtained from the Food and Agriculture Organization (FAO), the U.S. National Geophysical Data Center, and a limited number of biomass-carbon density case studies. These data were used to derive the maximum potential and actual (ca. 1980) aboveground biomass-carbon values at regional and country levels. The land-use data provided were derived from a vegetation map originally produced for the FAO by the International Institute of Vegetation Mapping, Toulouse, France.

  6. Land-use change trajectories up to 2050: insights from a global agro-economic model comparison

    SciTech Connect (OSTI)

    Schmitz, Christoph; van Meijl, Hans; Kyle, G. Page; Nelson, Gerald C.; Fujimori, Shinichiro; Gurgel, Angelo; Havlik, Petr; Heyhoe, Edwina; Mason d'Croz, Daniel; Popp, Alexander; Sands, Ronald; Tabeau, Andrzej; van der Mensbrugghe, Dominique; von Lampe, Martin; Wise, Marshall A.; Blanc, Elodie; Hasegawa, Tomoko; Kavallari, Aikaterini; Valin, Hugo

    2014-01-01

    Changes in agricultural land use have important implications for environmental services. Previous studies of agricultural land-use futures have been published indicating large uncertainty due to different model assumptions and methodologies. In this article we present a first comprehensive comparison of global agro-economic models that have harmonized drivers of population, GDP, and biophysical yields. The comparison allows us to ask two research questions: (1) How much cropland will be used under different socioeconomic and climate change scenarios? (2) How can differences in model results be explained? The comparison includes four partial and six general equilibrium models that differ in how they model land supply and amount of potentially available land. We analyze results of two different socioeconomic scenarios and three climate scenarios (one with constant climate). Most models (7 out of 10) project an increase of cropland of 1025% by 2050 compared to 2005 (under constant climate), but one model projects a decrease. Pasture land expands in some models, which increase the treat on natural vegetation further. Across all models most of the cropland expansion takes place in South America and sub-Saharan Africa. In general, the strongest differences in model results are related to differences in the costs of land expansion, the endogenous productivity responses, and the assumptions about potential cropland.

  7. Assessing the health equity impacts of regional land-use plan making: An equity focussed health impact assessment of alternative patterns of development of the Whitsunday Hinterland and Mackay Regional Plan, Australia (Short report)

    SciTech Connect (OSTI)

    Gunning, Colleen; Harris, Patrick; Mallett, John

    2011-07-15

    Health service and partners completed an equity focussed health impact assessment to influence the consideration of health and equity within regional land-use planning in Queensland, Australia. This project demonstrated how an equity oriented assessment matrix can assist in testing regional planning scenarios. It is hoped that this HIA will contribute to the emerging interest in ensuring that potential differential health impacts continue to be considered as part of land-use planning processes.

  8. File:01NVAStateLandUsePlanning (1).pdf | Open Energy Information

    Open Energy Info (EERE)

    1NVAStateLandUsePlanning (1).pdf Jump to: navigation, search File File history File usage Metadata File:01NVAStateLandUsePlanning (1).pdf Size of this preview: 463 599 pixels....

  9. Solar Land Use Data on OpenEI | OpenEI Community

    Open Energy Info (EERE)

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

  10. IC 67-75 - Local Land Use Planning | Open Energy Information

    Open Energy Info (EERE)

    67-75 - Local Land Use Planning Jump to: navigation, search OpenEI Reference LibraryAdd to library Legal Document- StatuteStatute: IC 67-75 - Local Land Use PlanningLegal Published...

  11. OAR 660-015 - Land Use Planning Statewide Planning Goals | Open...

    Open Energy Info (EERE)

    60-015 - Land Use Planning Statewide Planning Goals Jump to: navigation, search OpenEI Reference LibraryAdd to library Legal Document- RegulationRegulation: OAR 660-015 - Land Use...

  12. Idaho - IS 67-6508 - Land Use Planning Duties | Open Energy Informatio...

    Open Energy Info (EERE)

    IS 67-6508 - Land Use Planning Duties Jump to: navigation, search OpenEI Reference LibraryAdd to library Legal Document- StatuteStatute: Idaho - IS 67-6508 - Land Use Planning...

  13. GIZ Sourcebook Module 2a: Land Use Planning and Urban Transport...

    Open Energy Info (EERE)

    GIZ Sourcebook Module 2a: Land Use Planning and Urban Transport (Espaol) Jump to: navigation, search Tool Summary LAUNCH TOOL Name: GIZ Sourcebook Module 2a: Land Use Planning...

  14. File:01-FD-b - LandUsePlanAmendmentProcess.pdf | Open Energy...

    Open Energy Info (EERE)

    FD-b - LandUsePlanAmendmentProcess.pdf Jump to: navigation, search File File history File usage File:01-FD-b - LandUsePlanAmendmentProcess.pdf Size of this preview: 463 599...

  15. File:01-FD-a - LandUsePlanning.pdf | Open Energy Information

    Open Energy Info (EERE)

    01-FD-a - LandUsePlanning.pdf Jump to: navigation, search File File history File usage File:01-FD-a - LandUsePlanning.pdf Size of this preview: 463 599 pixels. Other resolution:...

  16. Land-use Policy and Program Design Toolkit | Open Energy Information

    Open Energy Info (EERE)

    Pages S251-S264 | Wheater, H.; Evans, E. Exploring land use changes and the role of palm oil production in Indonesia and Malaysia Land Use Policy, Volume 28, Issue 1, Pages...

  17. Biomass Scenario Model Scenario Library: Definitions, Construction...

    Office of Scientific and Technical Information (OSTI)

    S. 09 BIOMASS FUELS; 59 BASIC BIOLOGICAL SCIENCES; 29 ENERGY PLANNING, POLICY AND ECONOMY BIOMASS; BIOFUEL; BSM; SYSTEM DYNAMICS; BIOFUEL INCENTIVES; SCENARIOS; Bioenergy;...

  18. Economic and Physical Modeling of Land Use in GCAM 3.0 and an Application to Agricultural Productivity, Land, and Terrestrial Carbon

    SciTech Connect (OSTI)

    Wise, Marshall A.; Calvin, Katherine V.; Kyle, G. Page; Luckow, Patrick; Edmonds, James A.

    2014-09-01

    We explore the impact of changes in agricultural productivity on global land use and terrestrial carbon using the new agriculture and land use modeling approach developed for Global Change Assessment Model (GCAM) version 3.0. This approach models economic land use decisions with regional, physical, and technological specificity while maintaining economic and physical integration with the rest of the GCAM model. Physical land characteristics and quantities are tracked explicitly, and crop production practices are modeled discretely to facilitate coupling with physical models. Economic land allocation is modeled with non-linear functions in a market equilibrium rather than through a constrained optimization. In this paper, we explore three scenarios of future agriculture productivity in all regions of the globe over this century, ranging from a high growth to a zero growth level. The higher productivity growth scenario leads to lower crop prices, increased production of crops in developing nations, preservation of global forested lands and lower terrestrial carbon emissions. The scenario with no productivity improvement results in higher crop prices, an expansion of crop production in the developed world, loss of forested lands globally, and higher terrestrial carbon emissions.

  19. Land-use transition for bioenergy and climate stabilization: model comparison of drivers, impacts and interactions with other land use based mitigation options

    SciTech Connect (OSTI)

    Popp, Alexander; Rose, Steven K.; Calvin, Katherine V.; Van Vuuren, Detlef; Dietrich, Jan P.; Wise, Marshall A.; Stehfest, Eike; Humpenoder, Florian; Kyle, G. Page; Van Vliet, Jasper; Bauer, Nico; Lotze-Campen, Hermann; Klein, David; Kriegler, Elmar

    2014-04-01

    This study is a model comparison assessing the drivers and impacts of bioenergy production on the global land system and the interaction with other land use based mitigation options in the context of the EMF 27 project. We compare and evaluate results from three integrated assessment models (GCAM, IMAGE, and ReMIND/MAgPIE). All three models project that dedicated bioenergy crops and biomass residues are a potentially important and cost-effective component of the energy system. But bioenergy deployment levels and feedstock composition vary notably across models as do the implications for land-use and greenhouse gas emissions and the interaction with other land use based mitigation measures. Despite numerous model differences, we identify a few that are likely contributing to differences in land-use and emissions attributable to energy crop deployment.

  20. Bureau of Land Management - Table 1.4-1 - Land Use Planning Process...

    Open Energy Info (EERE)

    LibraryAdd to library PermittingRegulatory Guidance - Instructions: Bureau of Land Management - Table 1.4-1 - Land Use Planning Process StepsPermittingRegulatory...

  1. Climate Change Mitigation Through Land-Use Measures in the Agriculture...

    Open Energy Info (EERE)

    and Forestry Sectors Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Climate Change Mitigation Through Land-Use Measures in the Agriculture and Forestry...

  2. Quantitative Analysis of Biofuel Sustainability, Including Land Use Change GHG Emissions

    Broader source: Energy.gov [DOE]

    Plenary V: Biofuels and Sustainability: Acknowledging Challenges and Confronting MisconceptionsQuantitative Analysis of Biofuel Sustainability, Including Land Use Change GHG EmissionsJennifer B....

  3. Land-Use Requirements of Modern Wind Power Plants in the United...

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

    4 August 2009 Land-Use Requirements of Modern Wind Power Plants in the United States Paul Denholm, Maureen Hand, Maddalena Jackson, and Sean Ong National Renewable Energy...

  4. Carbon Calculator for Land Use Change from Biofuels Production (CCLUB). Users' Manual and Technical Documentation

    SciTech Connect (OSTI)

    Dunn, Jennifer B.; Qin, Zhangcai; Mueller, Steffen; Kwon, Ho-young; Wander, Michelle M.; Wang, Michael

    2014-09-01

    The Carbon Calculator for Land Use Change from Biofuels Production (CCLUB) calculates carbon emissions from land use change (LUC) for four different ethanol production pathways including corn grain ethanol and cellulosic ethanol from corn stover, Miscanthus, and switchgrass. This document discusses the version of CCLUB released September 30, 2014 which includes corn and three cellulosic feedstocks: corn stover, Miscanthus, and switchgrass.

  5. Final Hanford Comprehensive Land-Use Plan Environmental Impact Statement, Hanford Site, Richland, Washington

    SciTech Connect (OSTI)

    N /A

    1999-10-01

    This Final ''Hanford Comprehensive Land-Use Plan Environmental Impact Statement'' (HCP EIS) is being used by the Department of Energy (DOE) and its nine cooperating and consulting agencies to develop a comprehensive land-use plan (CLUP) for the Hanford Site. The DOE will use the Final HCP EIS as a basis for a Record of Decision (ROD) on a CLUP for the Hanford Site. While development of the CLUP will be complete with release of the HCP EIS ROD, full implementation of the CLUP is expected to take at least 50 years. Implementation of the CLUP would begin a more detailed planning process for land-use and facility-use decisions at the Hanford Site. The DOE would use the CLUP to screen proposals. Eventually, management of Hanford Site areas would move toward the CLUP land-use goals. This CLUP process could take more than 50 years to fully achieve the land-use goals.

  6. Reinterpreting SMCRA: {open_quotes}Permitting{close_quotes} phased postmining land use

    SciTech Connect (OSTI)

    Merkin, Z.R.; Nieman, T.J.

    1996-12-31

    The coal producing area of Appalachian Kentucky has a shortage of developable land. The majority of mined land in this region has been reclaimed to pastureland or hayland, while narrow interpretation of the Surface Mining Control and Reclamation Act of 1977 (SMCRA) and regulations, especially regarding bond release, has limited alternative postmining land uses which could support economic development. A study of Federal and State of Kentucky laws and regulations shows that postmining land use regulations and their implementation have focussed on preventing and minimizing environmental damage. Land use and land use planning concepts are not well understood, thus permit applications inadequately address land use needs and the {open_quotes}highest and best use{close_quotes} of a site. Required information about pre-mining conditions is not collected and analyzed in a way useful for determining appropriate postmining land use. More comprehensive, higher quality land use information, with information about regional factors such as transportation, utilities, labor market, etc., should be included in the permit application to identify sites with strong development potential. This, combined with a broader interpretation of the law recognizing the validity of a phased implementation of postmined land use, would continue environmental protection while preparing reclaimed land to meet potential future land use needs. The mining plan can be designed so that appropriate areas are prepared and laid out for future buildings or roads, yet are conducive to interim use for pasture, wildlife or recreation. Reclamation to the interim use, sufficient to protect the public and allow bond release, maintains the potential for later development. Land later can be made available in response to development demands, contributing to a more diversified economy.

  7. REF Scenario Viewer

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

    Futures Study Scenario Viewer National Renewable Energy Laboratory Loading Data and Visualizations NREL is a national laboratory of the U.S. Department of Energy, Office of Energy ...

  8. Scenario Analysis Meeting

    Broader source: Energy.gov [DOE]

    Presentation by Sigmund Gronich at the 2010-2025 Scenario Analysis for Hydrogen Fuel Cell Vehicles and Infrastructure meeting on January 31, 2007.

  9. Brazil's biofuels scenario

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

    DO ETANOL Brazil's biofuels scenario: What are the main drivers which will shape investments in the long term? Artur Yabe Milanez Manager BNDES Biofuels Department LIVRO VERDE ...

  10. NREL Report Firms Up Land-Use Requirements of Solar - News Releases | NREL

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

    Report Firms Up Land-Use Requirements of Solar Study shows solar for 1,000 homes would require 32 acres July 30, 2013 The Energy Department's National Renewable Energy Laboratory (NREL) has published a report on the land use requirements of solar power plants based on actual land-use practices from existing solar facilities. "Having real data from a majority of the solar plants in the United States will help people make proper comparisons and informed decisions," lead author Sean Ong

  11. From land use to land cover: Restoring the afforestation signal in a coupled integrated assessment - earth system model and the implications for CMIP5 RCP simulations

    SciTech Connect (OSTI)

    Di Vittorio, Alan; Chini, Louise M.; Bond-Lamberty, Benjamin; Mao, Jiafu; Shi, Xiaoying; Truesdale, John E.; Craig, Anthony P.; Calvin, Katherine V.; Jones, Andrew D.; Collins, William D.; Edmonds, James A.; Hurtt, George; Thornton, Peter E.; Thomson, Allison M.

    2014-11-27

    Climate projections depend on scenarios of fossil fuel emissions and land use change, and the IPCC AR5 parallel process assumes consistent climate scenarios across Integrated Assessment and Earth System Models (IAMs and ESMs). To facilitate consistency, CMIP5 used a novel land use harmonization to provide ESMs with seamless, 1500-2100 land use trajectories generated by historical data and four IAMs. However, we have identified and partially addressed a major gap in the CMIP5 land coupling design. The CMIP5 Community ESM (CESM) global afforestation is only 22% of RCP4.5 afforestation from 2005 to 2100. Likewise, only 17% of the Global Change Assessment Models (GCAMs) 2040 RCP4.5 afforestation signal, and none of the pasture loss, were transmitted to CESM within a newly integrated model. This is a critical problem because afforestation is necessary for achieving the RCP4.5 climate stabilization. We attempted to rectify this problem by modifying only the ESM component of the integrated model, enabling CESM to simulate 66% of GCAMs afforestation in 2040, and 94% of GCAMs pasture loss as grassland and shrubland losses. This additional afforestation increases vegetation carbon gain by 19 PgC and decreases atmospheric CO2 gain by 8 ppmv from 2005 to 2040, implying different climate scenarios between CMIP5 GCAM and CESM. Similar inconsistencies likely exist in other CMIP5 model results, primarily because land cover information is not shared between models, with possible contributions from afforestation exceeding model-specific, potentially viable forest area. Further work to harmonize land cover among models will be required to adequately rectify this problem.

  12. Idaho IC 67-6508, Planning Duties for Local Land Use | Open Energy...

    Open Energy Info (EERE)

    Idaho IC 67-6508, Planning Duties for Local Land Use Jump to: navigation, search OpenEI Reference LibraryAdd to library Legal Document- StatuteStatute: Idaho IC 67-6508, Planning...

  13. Title 10 Chapter 151 State Land Use and Development Plans | Open...

    Open Energy Info (EERE)

    Title 10 Chapter 151 State Land Use and Development Plans Jump to: navigation, search OpenEI Reference LibraryAdd to library Legal Document- StatuteStatute: Title 10 Chapter 151...

  14. RCW - 43.21B - Environmental and Land Use Hearings Office - Pollution...

    Open Energy Info (EERE)

    43.21B - Environmental and Land Use Hearings Office - Pollution Control Hearings Board Jump to: navigation, search OpenEI Reference LibraryAdd to library Legal Document-...

  15. Los Alamos National Laboratory Investigates Fenton Hill to Support Future Land Use

    Broader source: Energy.gov [DOE]

    LOS ALAMOS, N.M. – Supporting future land use for the U.S. Forest Service, Los Alamos National Laboratory’s Corrective Actions Program (CAP) completed sampling soil at Fenton Hill in the Jemez Mountains this month.

  16. Land-use change and greenhouse gas emissions from corn and cellulosic...

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

    Land-use change and greenhouse gas emissions from corn and cellulosic ethanol July 16, ... Estimates of LUC GHG emissions focus mainly on corn ethanol and vary widely. Increasing ...

  17. I.C. 67-65 - Local Land Use Planning | Open Energy Information

    Open Energy Info (EERE)

    search OpenEI Reference LibraryAdd to library Legal Document- StatuteStatute: I.C. 67-65 - Local Land Use PlanningLegal Abstract This statute outlines the zoning and...

  18. From land use to land cover: Restoring the afforestation signal in a

    Office of Scientific and Technical Information (OSTI)

    coupled integrated assessment - earth system model and the implications for CMIP5 RCP simulations (Journal Article) | SciTech Connect From land use to land cover: Restoring the afforestation signal in a coupled integrated assessment - earth system model and the implications for CMIP5 RCP simulations Citation Details In-Document Search Title: From land use to land cover: Restoring the afforestation signal in a coupled integrated assessment - earth system model and the implications for CMIP5

  19. Wind Power Siting: Public Acceptance and Land Use; NREL (National Renewable Energy Laboratory)

    SciTech Connect (OSTI)

    Tegen, Suzanne

    2015-06-17

    Suzanne Tegen presented this information as part of the June 17, 2015 WINDExchange webinar: Overcoming Wind Siting Challenges III: Public Acceptance and Land Use. This presentation provides an overview of current NREL research related to wind energy deployment considerations, the DOE Wind Vision as it relates to public acceptance and land use, why public acceptance of wind power matters, where the U.S. wind resource is best, and how those rich resource areas overlay with population centers.

  20. Implications of High Renewable Electricity Penetration in the U.S. for Water Use, Greenhouse Gas Emissions, Land-Use, and Materials Supply

    Broader source: Energy.gov [DOE]

    Recent work found that renewable energy could supply 80% of electricity demand in the contiguous United States in 2050 at the hourly level. This paper explores some of the implications of achieving such high levels of renewable electricity for supply chains and the environment in scenarios with renewable supply up to such levels. Transitioning to high renewable electricity supply would lead to significant reductions in greenhouse gas emissions and water use, with only modest land-use implications. While renewable energy expansion implies moderate growth of the renewable electricity supply chains, no insurmountable long-term constraints to renewable electricity technology manufacturing capacity or materials supply are identified.

  1. Effects of climate change, land-use change, and invasive species on the ecology of the Cumberland forests

    SciTech Connect (OSTI)

    Dale, Virginia H; Lannom, Karen O.; Hodges, Donald G.; Tharp, M Lynn; Fogel, Jonah

    2009-02-01

    Effects of climate change, land-use change, and invasive species on the ecology of the Cumberland forests

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

    SciTech Connect (OSTI)

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

    2013-06-01

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

  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. Biomass Scenario Model

    SciTech Connect (OSTI)

    2015-09-01

    The Biomass Scenario Model (BSM) is a unique, carefully validated, state-of-the-art dynamic model of the domestic biofuels supply chain which explicitly focuses on policy issues, their feasibility, and potential side effects. It integrates resource availability, physical/technological/economic constraints, behavior, and policy. The model uses a system dynamics simulation (not optimization) to model dynamic interactions across the supply chain.

  6. A top-down assessment of energy, water and land use in uranium mining, milling, and refining

    SciTech Connect (OSTI)

    E. Schneider; B. Carlsen; E. Tavrides; C. van der Hoeven; U. Phathanapirom

    2013-11-01

    Land, water and energy use are key measures of the sustainability of uranium production into the future. As the most attractive, accessible deposits are mined out, future discoveries may prove to be significantly, perhaps unsustainably, more intensive consumers of environmental resources. A number of previous attempts have been made to provide empirical relationships connecting these environmental impact metrics to process variables such as stripping ratio and ore grade. These earlier attempts were often constrained by a lack of real world data and perform poorly when compared against data from modern operations. This paper conditions new empirical models of energy, water and land use in uranium mining, milling, and refining on contemporary data reported by operating mines. It shows that, at present, direct energy use from uranium production represents less than 1% of the electrical energy produced by the once-through fuel cycle. Projections of future energy intensity from uranium production are also possible by coupling the empirical models with estimates of uranium crustal abundance, characteristics of new discoveries, and demand. The projections show that even for the most pessimistic of scenarios considered, by 2100, the direct energy use from uranium production represents less than 3% of the electrical energy produced by the contemporary once-through fuel cycle.

  7. Categorical Exclusions | Department of Energy

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

    Exclusions Categorical Exclusions Selected documents on the topic of Categorical Exclusions under NEPA. December 6, 2010 Guidance for Federal Departments and Agencies on Establishing, Applying, and Revising Categorical Exclusions Under the National Environmental Policy Act (CEQ, 2010) This guidance from the Council on Environmental Quality provides methods for substantiating categorical exclusions, clarifies the process for establishing categorical exclusions, outlines how agencies should engage

  8. ANL/AA-19 Land Use and Energy K. E. Robeck, S. W. Ballou, D....

    Office of Scientific and Technical Information (OSTI)

    Matheny. CONTENTS EXECUTIVE SUMMARY xi ABSTRACT 1 1 INTRODUCTION 1 2 EXTRACTION 9 2.1 Coal 9 2.1.1 Land Requirements 11 2.1.2 Past and Future Land Use 13 2.2 Oil and Oil Shale 16...

  9. Ecological perspectives of land use history: The Arid Lands Ecology (ALE) Reserve

    SciTech Connect (OSTI)

    Hinds, N R; Rogers, L E

    1991-07-01

    The objective of this study was to gather information on the land use history of the Arid Land Ecology (ALE) Reserve so that current ecological research could be placed within a historical perspective. The data were gathered in the early 1980s by interviewing former users of the land and from previously published research (where available). Interviews with former land users of the ALE Reserve in Benton County, Washington, revealed that major land uses from 1880 to 1940 were homesteading, grazing, oil/gas production, and road building. Land use practices associated with grazing and homesteading have left the greatest impact on the landscape. Disturbed sites where succession is characterized by non-native species, plots where sagebrush was railed away, and sheep trails are major indications today of past land uses. Recent estimates of annual bunchgrass production do ALE do not support the widespread belief that bunchgrass were more productive during the homesteading era, though the invasion of cheatgrass (Bromus tectorum), Jim Hill mustard (Sisymbrium altissium), and other European alien plant species has altered pre-settlement succession patterns. 15 refs., 6 figs., 1 tab.

  10. Land-use history alters contemporary insect herbivore community composition and decouples plant-herbivore relationships.

    SciTech Connect (OSTI)

    Hahn, Philip G.; Orrock, John L.

    2015-04-01

    1. Past land use can create altered soil conditions and plant communities that persist for decades, although the effects of these altered conditions on consumers are rarely investigated. 2. Using a large-scale field study at 36 sites in longleaf pine (Pinus palustris) woodlands, we examined whether historic agricultural land use leads to differences in the abundance and community composition of insect herbivores (grasshoppers, families Acrididae and Tettigoniidae). 3. We measured the cover of six plant functional groups and several environmental variables to determine whether historic agricultural land use affects the relationships between plant cover or environmental conditions and grasshopper assemblages. 4. Land-use history had taxa-specific effects and interacted with herbaceous plant cover to alter grasshopper abundances, leading to significant changes in community composition. Abundance of most grasshopper taxa increased with herbaceous cover in woodlands with no history of agriculture, but there was no relationship in post-agricultural woodlands. We also found that grasshopper abundance was negatively correlated with leaf litter cover. Soil hardness was greater in post-agricultural sites (i.e. more compacted) and was associated with grasshopper community composition. Both herbaceous cover and leaf litter cover are influenced by fire frequency, suggesting a potential indirect role of fire on grasshopper assemblages. 5. Our results demonstrate that historic land use may create persistent differences in the composition of grasshopper assemblages, while contemporary disturbances (e.g. prescribed fire) may be important for determining the abundance of grasshoppers, largely through the effect of fire on plants and leaf litter. Therefore, our results suggest that changes in the contemporary management regimes (e.g. increasing prescribed fire) may not be sufficient to shift the structure of grasshopper communities in post-agricultural sites towards communities in nonagricultural habitats. Rather, repairing degraded soil conditions and restoring plant communities are likely necessary for restoring grasshopper assemblages in post-agricultural woodlands.

  11. Description of GPRA08 scenarios

    SciTech Connect (OSTI)

    None, None

    2009-01-18

    Background information for the FY 2007 GPRA methodology review providing a description of GPRA08 scenarios.

  12. Standard Scenarios Annual Report

    Broader source: Energy.gov [DOE]

    The National Renewable Energy Laboratory is conducting a study sponsored by the U.S. Department of Energy DOE, Office of Energy Efficiency and Renewable Energy (EERE), that aims to document and implement an annual process designed to identify a realistic and timely set of input assumptions (e.g., technology cost and performance, fuel costs), and a diverse set of potential futures (standard scenarios), initially for electric sector analysis.

  13. Meeting the Demand for Biofuels: Impact on Land Use and Carbon Mitigation

    SciTech Connect (OSTI)

    Khanna, Madhu; Jain, Atul; Onal, Hayri; Scheffran, Jurgen; Chen, Xiaoguang; Erickson, Matt; Huang, Haixiao; Kang, Seungmo.

    2011-08-14

    The purpose of this research was to develop an integrated, interdisciplinary framework to investigate the implications of large scale production of biofuels for land use, crop production, farm income and greenhouse gases. In particular, we examine the mix of feedstocks that would be viable for biofuel production and the spatial allocation of land required for producing these feedstocks at various gasoline and carbon emission prices as well as biofuel subsidy levels. The implication of interactions between energy policy that seeks energy independence from foreign oil and climate policy that seeks to mitigate greenhouse gas emissions for the optimal mix of biofuels and land use will also be investigated. This project contributes to the ELSI research goals of sustainable biofuel production while balancing competing demands for land and developing policy approaches needed to support biofuel production in a cost-effective and environmentally friendly manner.

  14. Developing a methodology and building a team to ensure objectivity in future land use planning

    SciTech Connect (OSTI)

    Cusick, L.T.

    1995-12-01

    The paper describes the steps involved in the development of an integrated methodology for identifying future land use options on Department of Energy (DOE) property and the establishment of a team to undertake the analysis. Three sources of information are considered: (1) internal and external stakeholder preferences, (2) economic data, and (3) environmental data. The analysis is part of a DOE process to propose future land use options for its real property while considering DOE missions and the expressed preferences of stakeholders. The process is presently ongoing at several DOE facilities; the analysis described herein is taking place on the Oak Ridge Reservation (ORR) in Oak Ridge, Tennessee. Further described in this paper are the benefits of considering stakeholder preferences in determining future land uses and the necessity of weighing economic factors and their effects on stakeholder preferences. Similarly, this paper details the need for considering environmental information to ascertain the value of the ORR`s ecological resources. During the analysis taking place on the ORR, a methodology will be developed to integrate these varied data sets and to address both the individual and the combined effects of economic and environmental factors on stakeholders preferences. Several future land use options which will result form the analysis must be: (1) technically sound and promote informed decision-making, (2) understood by the parties involved, and (3) options that can be supported by the parties involved. This framework may be used in combination with defined technical, regulatory, and legal requirements to define achievable remediation goals for the ORR.

  15. EVALUATION OF LAND USE/LAND COVER DATASETS FOR URBAN WATERSHED MODELING

    SciTech Connect (OSTI)

    S.J. BURIAN; M.J. BROWN; T.N. MCPHERSON

    2001-08-01

    Land use/land cover (LULC) data are a vital component for nonpoint source pollution modeling. Most watershed hydrology and pollutant loading models use, in some capacity, LULC information to generate runoff and pollutant loading estimates. Simple equation methods predict runoff and pollutant loads using runoff coefficients or pollutant export coefficients that are often correlated to LULC type. Complex models use input variables and parameters to represent watershed characteristics and pollutant buildup and washoff rates as a function of LULC type. Whether using simple or complex models an accurate LULC dataset with an appropriate spatial resolution and level of detail is paramount for reliable predictions. The study presented in this paper compared and evaluated several LULC dataset sources for application in urban environmental modeling. The commonly used USGS LULC datasets have coarser spatial resolution and lower levels of classification than other LULC datasets. In addition, the USGS datasets do not accurately represent the land use in areas that have undergone significant land use change during the past two decades. We performed a watershed modeling analysis of three urban catchments in Los Angeles, California, USA to investigate the relative difference in average annual runoff volumes and total suspended solids (TSS) loads when using the USGS LULC dataset versus using a more detailed and current LULC dataset. When the two LULC datasets were aggregated to the same land use categories, the relative differences in predicted average annual runoff volumes and TSS loads from the three catchments were 8 to 14% and 13 to 40%, respectively. The relative differences did not have a predictable relationship with catchment size.

  16. Tropical Africa: Land Use, Biomass, and Carbon Estimates for 1980 (NDP-055)

    SciTech Connect (OSTI)

    Brown, S.

    2002-04-16

    This document describes the contents of a digital database containing maximum potential aboveground biomass, land use, and estimated biomass and carbon data for 1980. The biomass data and carbon estimates are associated with woody vegetation in Tropical Africa. These data were collected to reduce the uncertainty associated with estimating historical releases of carbon from land use change. Tropical Africa is defined here as encompassing 22.7 x 10{sup 6} km{sup 2} of the earth's land surface and is comprised of countries that are located in tropical Africa (Angola, Botswana, Burundi, Cameroon, Cape Verde, Central African Republic, Chad, Congo, Benin, Equatorial Guinea, Ethiopia, Djibouti, Gabon, Gambia, Ghana, Guinea, Ivory Coast, Kenya, Liberia, Madagascar, Malawi, Mali, Mauritania, Mozambique, Namibia, Niger, Nigeria, Guinea-Bissau, Zimbabwe (Rhodesia), Rwanda, Senegal, Sierra Leone, Somalia, Sudan, Tanzania, Togo, Uganda, Burkina Faso (Upper Volta), Zaire, and Zambia). The database was developed using the GRID module in the ARC/INFO{trademark} geographic information system. Source data were obtained from the Food and Agriculture Organization (FAO), the U.S. National Geophysical Data Center, and a limited number of biomass-carbon density case studies. These data were used to derive the maximum potential and actual (ca. 1980) aboveground biomass values at regional and country levels. The land-use data provided were derived from a vegetation map originally produced for the FAO by the International Institute of Vegetation Mapping, Toulouse, France.

  17. Biomass Scenario Model Scenario Library: Definitions, Construction, and Description

    SciTech Connect (OSTI)

    Inman, D.; Vimmerstedt, L.; Bush, B.; Peterson, S.

    2014-04-01

    Understanding the development of the biofuels industry in the United States is important to policymakers and industry. The Biomass Scenario Model (BSM) is a system dynamics model of the biomass-to-biofuels system that can be used to explore policy effects on biofuels development. Because of the complexity of the model, as well as the wide range of possible future conditions that affect biofuels industry development, we have not developed a single reference case but instead developed a set of specific scenarios that provide various contexts for our analyses. The purpose of this report is to describe the scenarios that comprise the BSM scenario library. At present, we have the following policy-focused scenarios in our library: minimal policies, ethanol-focused policies, equal access to policies, output-focused policies, technological diversity focused, and the point-of-production- focused. This report describes each scenario, its policy settings, and general insights gained through use of the scenarios in analytic studies.

  18. DEPARTMENT OF ENERGY EXCLUSIVE OR PARTIALLY EXCLUSIVE PATENT...

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

    in appropriate circumstances to applicants with satisfactory plans for development andor marketing of the invention. PDF icon EXCLUSIVE OR PARTIALLY EXCLUSIVE PATENT LICENSE...

  19. 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 ...

  20. 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 ...

  1. 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 ...

  2. 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 ...

  3. Baselines For Land-Use Change In The Tropics: Application ToAvoided Deforestation Projects

    SciTech Connect (OSTI)

    Brown, Sandra; Hall, Myrna; Andrasko, Ken; Ruiz, Fernando; Marzoli, Walter; Guerrero, Gabriela; Masera, Omar; Dushku, Aaron; Dejong,Ben; Cornell, Joseph

    2007-06-01

    Although forest conservation activities particularly in thetropics offer significant potential for mitigating carbon emissions,these types of activities have faced obstacles in the policy arena causedby the difficulty in determining key elements of the project cycle,particularly the baseline. A baseline for forest conservation has twomain components: the projected land-use change and the correspondingcarbon stocks in the applicable pools such as vegetation, detritus,products and soil, with land-use change being the most difficult toaddress analytically. In this paper we focus on developing and comparingthree models, ranging from relatively simple extrapolations of pasttrends in land use based on simple drivers such as population growth tomore complex extrapolations of past trends using spatially explicitmodels of land-use change driven by biophysical and socioeconomicfactors. The three models of the latter category used in the analysis atregional scale are The Forest Area Change (FAC) model, the Land Use andCarbon Sequestration (LUCS) model, and the Geographical Modeling (GEOMOD)model. The models were used to project deforestation in six tropicalregions that featured different ecological and socioeconomic conditions,population dynamics, and uses of the land: (1) northern Belize; (2) SantaCruz State, Bolivia; (3) Parana State in Brazil; (4) Campeche, Mexico;(5) Chiapas, Mexico; and (6) Michoacan, Mexico. A comparison of all modeloutputs across all six regions shows that each model produced quitedifferent deforestation baseline. In general, the simplest FAC model,applied at the national administrative-unit scale, projected the highestamount of forest loss (four out of six) and the LUCS model the leastamount of loss (four out of five). Based on simulations of GEOMOD, wefound that readily observable physical and biological factors as well asdistance to areas of past disturbance were each about twice as importantas either sociological/demographic or economic/infrastructure factors(less observable) in explaining empirical land-use patterns. We proposefrom the lessons learned, a methodology comprised of three main steps andsix tasks can be used to begin developing credible baselines. We alsopropose that the baselines be projected over a 10-year period because,although projections beyond 10 years are feasible, they are likely to beunrealistic for policy purposes. In the first step, an historic land-usechange and deforestation estimate is made by determining the analyticdomain (size of the region relative to the size of proposed project),obtaining historic data, analyzing candidate historic baseline drivers,and identifying three to four major drivers. In the second step, abaseline of where deforestation is likely to occur --a potential land-usechange (PLUC) map is produced using a spatial model such as GEOMOD thatuses the key drivers from step one. Then rates of deforestation areprojected over a 10-year baseline period using any of the three models.Using the PLUC maps, projected rates of deforestation, and carbon stockestimates, baselineprojections are developed that can be used for projectGHG accounting and crediting purposes: The final step proposes that, atagreed interval (eg, +10 years), the baseline assumptions about baselinedrivers be re-assessed. This step reviews the viability of the 10-yearbaseline in light of changes in one or more key baseline drivers (e.g.,new roads, new communities, new protected area, etc.). The potentialland-use change map and estimates of rates of deforestation could beredone at the agreed interval, allowing the rates and changes in spatialdrivers to be incorporated into a defense of the existing baseline, orderivation of a new baseline projection.

  4. A state-impact-state methodology for assessing environmental impact in land use planning

    SciTech Connect (OSTI)

    Chen, Longgao; Yang, Xiaoyan; Chen, Longqian; Potter, Rebecca; Li, Yingkui

    2014-04-01

    The implementation of land use planning (LUP) has a large impact on environmental quality. There lacks a widely accepted and consolidated approach to assess the LUP environmental impact using Strategic Environmental Assessment (SEA). In this paper, we developed a state-impact-state (SIS) model employed in the LUP environmental impact assessment (LUPEA). With the usage of Matter-element (ME) and Extenics method, the methodology based on the SIS model was established and applied in the LUPEA of Zoucheng County, China. The results show that: (1) this methodology provides an intuitive and easy understanding logical model for both the theoretical analysis and application of LUPEA; (2) the spatial multi-temporal assessment from base year, near-future year to planning target year suggests the positive impact on the environmental quality in the whole County despite certain environmental degradation in some towns; (3) besides the spatial assessment, other achievements including the environmental elements influenced by land use and their weights, the identification of key indicators in LUPEA, and the appropriate environmental mitigation measures were obtained; and (4) this methodology can be used to achieve multi-temporal assessment of LUP environmental impact of County or Town level in other areas. - Highlights: A State-Impact-State model for Land Use Planning Environmental Assessment (LUPEA). Matter-element (ME) and Extenics methods were embedded in the LUPEA. The model was applied to the LUPEA of Zoucheng County. The assessment shows improving environment quality since 2000 in Zoucheng County. The method provides a useful tool for the LUPEA in the county level.

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

    SciTech Connect (OSTI)

    Denholm, P.; Margolis, R. M.

    2008-05-01

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

  6. Land Use and Ecosystems Data from the Carbon Dioxide Information Analysis Center (CDIAC)

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

    CDIAC products are indexed and searchable through a customized interface powered by ORNL's Mercury search engine. Products include numeric data packages, publications, trend data, atlases, models, etc. and can be searched for by subject area, keywords, authors, product numbers, time periods, collection sites, spatial references, etc. Some of the collections may also be included in the CDIAC publication titled Trends Online: A Compendium of Global Change Data. Most data sets, many with numerous data files, are free to download from CDIAC's ftp area. Land Use and Ecosystems information includes Terrestrial Carbon Sequestration Data Sets, data sets from Africa and Asia, the Worldwide Organic Soil Carbon and Nitrogen Dataset, and much more.

  7. DOE/EIS-0222-SA-O1 Supplement Analysis Hanford Comprehensive Land-Use Plan Environmental Impact

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

    O1 Supplement Analysis Hanford Comprehensive Land-Use Plan Environmental Impact Statement U.S. Department of Energy Richland Operations Office Richland, Washington 99352 June 2008 DOE/EIS-0222-SA-0 1 SUMMARY In September 1999 the U.S. Department of Energy (DOE) issued the Final Hanford Comprehensive Land-Use Plan (HCP) Environmental Impact Statement (EIS) (DOE/EIS-0222-F). The HCP EIS analyzed the impacts of alternatives for implementing a land-use plan for the DOE's Hanford Site for at least

  8. FE Categorical Exclusions

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

    CX-011993.pdf" class"">CX-011993.pdf

  9. Impact of land use change on the local climate over the Tibetan Plateau

    SciTech Connect (OSTI)

    Jin, J.; Lu, S.; Li, S.; Miller, N.L.

    2010-04-01

    Observational data show that the remotely sensed leaf area index (LAI) has a significant downward trend over the east Tibetan Plateau (TP), while a warming trend is found in the same area. Further analysis indicates that this warming trend mainly results from the nighttime warming. The Single-Column Atmosphere Model (SCAM) version 3.1 developed by the National Center for Atmospheric Research is used to investigate the role of land use change in the TP local climate system and isolate the contribution of land use change to the warming. Two sets of SCAM simulations were performed at the Xinghai station that is located near the center of the TP Sanjiang (three rivers) Nature Reserve where the downward LAI trend is largest. These simulations were forced with the high and low LAIs. The modeling results indicate that, when the LAI changes from high to low, the daytime temperature has a slight decrease, while the nighttime temperature increases significantly, which is consistent with the observations. The modeling results further show that the lower surface roughness length plays a significant role in affecting the nighttime temperature increase.

  10. Energy Transition Initiative Energy Scenario Tool | Department...

    Energy Savers [EERE]

    Energy Transition Initiative Energy Scenario Tool Energy Transition Initiative Energy Scenario Tool The ETI Energy Scenario Tool helps communities analyze different pathways to ...

  11. 2015 Standard Scenarios Annual Report...

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

    Authors Preface This report is one of several products ... and (2) assessing these scenarios in NREL's market models ... energy prices, and carbon dioxide (CO 2 ) emissions. ...

  12. Land use change and carbon exchange in the tropics. I. Detailed estimates for Costa Rice, Panama, Peru, and Bolivia

    SciTech Connect (OSTI)

    Hall, C.A.S.; Detwiler, R.P.; Bogdonoff, P.; Underhill, S.

    1985-01-01

    This group, composed of modelers working in conjunction with tropical ecologists, has produced a simulation model that quantifies the net carbon exchange between tropical vegetation and the atmosphere due to land use change. The model calculates this net exchange by combining estimates of land use change with several estimates of the carbon stored in tropical vegetation and general assumptions about the fate of cleared vegetation. In this report, the authors use estimates of land use and carbon of land use and carbon storage organized into six life zone (sensu Holdridge) categories to calculate the exchange between the atmosphere and the vegetation of four tropical countries. Their analyses of these countries indicate that this life zone approach has several advantages because (a) the carbon content of vegetation varies significantly among life zones, (b) much of the land use change occurs in life zones of only moderate carbon storage, and (c) the fate of cleared vegetation varies among life zones. Their analyses also emphasize the importance of distinguishing between temporary and permanent land use change, as the recovery of vegetation on abandoned areas decreases the net release of carbon due to clearing. They include sensitivity analysis of those factors that they found to be important but are difficult to quantify at present.

  13. Greenhouse gas emissions from forest, land use and biomass burning in Tanzania

    SciTech Connect (OSTI)

    Matitu, M.R.

    1994-12-31

    Carbon dioxide (CO{sub 2}) and methane (CH{sub 4}) gases are the main contributors to the greenhouse effect that consequently results in global warming. This paper examines the sources and sinks of these gases from/to forest, land use and biomass burning and their likely contribution to climate change using IPCC/OECD methodology. Emissions have been calculated in mass units of carbon and nitrogen Emissions and uptake have been summed for each gas and the emissions converted to full molecular weights. Mismanagement of forests and land misuse have contributed much to greenhouse gas emissions in Tanzania. For example, cultivation methods, forest clearing, burning of savannah grass and indiscriminate logging (non-sustainable logging) have contributed significantly to greenhouse gas emissions. These categories contribute more than 90% of total CO{sub 2} emissions. However, the study shows that shifting cultivation, savannah burning and forest clearing for conversion to permanent crop land and pasture are the main contributors.

  14. Carbon Calculator for Land Use Change from Biofuels Production (CCLUB). Users' manual and technical documentation.

    SciTech Connect (OSTI)

    Mueller, S; Dunn, JB; Wang, M

    2012-06-07

    The Carbon Calculator for Land Use Change from Biofuels Production (CCLUB) calculates carbon emissions from land use change (LUC) for four different ethanol production pathways including corn grain ethanol and cellulosic ethanol from corn stover, miscanthus, and switchgrass. This document discusses the version of CCLUB released May 31, 2012 which includes corn, as did the previous CCLUB version, and three cellulosic feedstocks: corn stover, miscanthus, and switchgrass. CCLUB calculations are based upon two data sets: land change areas and above- and below-ground carbon content. Table 1 identifies where these data are stored and used within the CCLUB model, which is built in MS Excel. Land change area data is from Purdue University's Global Trade Analysis Project (GTAP) model, a computable general equilibrium (CGE) economic model. Section 2 describes the GTAP data CCLUB uses and how these data were modified to reflect shrubland transitions. Feedstock- and spatially-explicit below-ground carbon content data for the United States were generated with a surrogate model for CENTURY's soil organic carbon sub-model (Kwon and Hudson 2010) as described in Section 3. CENTURY is a soil organic matter model developed by Parton et al. (1987). The previous CCLUB version used more coarse domestic carbon emission factors. Above-ground non-soil carbon content data for forest ecosystems was sourced from the USDA/NCIAS Carbon Online Estimator (COLE) as explained in Section 4. We discuss emission factors used for calculation of international greenhouse gas (GHG) emissions in Section 5. Temporal issues associated with modeling LUC emissions are the topic of Section 6. Finally, in Section 7 we provide a step-by-step guide to using CCLUB and obtaining results.

  15. FE Categorical Exclusions | Department of Energy

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

    FE Categorical Exclusions FE Categorical Exclusions RSS June 4, 2014 CX-011993: Categorical Exclusion Determination Cheniere Marketing, LLC CX(s) Applied: B5.7 Date: 06042014...

  16. Rooftop Photovoltaics Market Penetration Scenarios

    SciTech Connect (OSTI)

    Paidipati, J.; Frantzis, L.; Sawyer, H.; Kurrasch, A.

    2008-02-01

    The goal of this study was to model the market penetration of rooftop photovoltaics (PV) in the United States under a variety of scenarios, on a state-by-state basis, from 2007 to 2015.

  17. Inclusive and Exclusive |Vub|

    SciTech Connect (OSTI)

    Petrella, Antonio; /Ferrara U. /INFN, Ferrara

    2011-11-17

    The current status of the determinations of CKM matrix element |V{sub ub}| via exclusive and inclusive charmless semileptonic B decays is reviewed. The large datasets collected at the B-Factories, and the increased precision of theoretical calculations have allowed an improvement in the determination of |V{sub ub}|. However, there are still significant uncertainties. In the exclusive approach, the most precise measurement of the pion channel branching ratio is obtained by an untagged analysis. This very good precision can be reached by tagged analyses with more data. The problem with exclusive decays is that the strong hadron dynamics can not be calculated from first principles and the determination of the form factor has to rely on light-cone sum rules or lattice QCD calculations. The current data samples allow a comparison of different FF models with data distributions. With further developments on lattice calculations, the theoretical error should shrink to reach the experimental one. The inclusive approach still provides the most precise |V{sub ub}| determinations. With new theoretical calculations, the mild (2.5{sigma}) discrepancy with respect to the |V{sub ub}| value determined from the global UT fit has been reduced. As in the exclusive approach, theoretical uncertainties represent the limiting factor to the precision of the measurement. Reducing the theoretical uncertainties to a level comparable with the statistical error is challenging. New measurements in semileptonic decays of charm mesons could increase the confidence in theoretical calculations and related uncertainties.

  18. Long-term Differences in Tillage and Land Use Affect Intra-aggregate Pore Heterogeneity

    SciTech Connect (OSTI)

    Kravchenko, A.N.; Wang, A.N.W.; Smucker, A.J.M.; Rivers, M.L.

    2012-10-25

    Recent advances in computed tomography provide measurement tools to study internal structures of soil aggregates at micrometer resolutions and to improve our understanding of specific mechanisms of various soil processes. Fractal analysis is one of the data analysis tools that can be helpful in evaluating heterogeneity of the intra-aggregate internal structures. The goal of this study was to examine how long-term tillage and land use differences affect intra-aggregate pore heterogeneity. The specific objectives were: (i) to develop an approach to enhance utility of box-counting fractal dimension in characterizing intra-aggregate pore heterogeneity; (ii) to examine intra-aggregate pores in macro-aggregates (4-6 mm in size) using the computed tomography scanning and fractal analysis, and (iii) to compare heterogeneity of intra-aggregate pore space in aggregates from loamy Alfisol soil subjected to 20 yr of contrasting management practices, namely, conventional tillage (chisel plow) (CT), no-till (NT), and native succession vegetation (NS). Three-dimensional images of the intact aggregates were obtained with a resolution of 14.6 {micro}m at the Advanced Photon Source, Argonne National Laboratory, Argonne, IL. Proposed box-counting fractal dimension normalization was successfully implemented to estimate heterogeneity of pore voxel distributions without bias associated with different porosities in soil aggregates. The aggregates from all three studied treatments had higher porosity associated with large (>100 {micro}m) pores present in their centers than in their exteriors. Pores 15 to 60 {micro}m were equally abundant throughout entire aggregates but their distributions were more heterogeneous in aggregate interiors. The CT aggregates had greater numbers of pores 15 to 60 {micro}m than NT and NS. Distribution of pore voxels belonging to large pores was most heterogeneous in the aggregates from NS, followed by NT and by CT. This result was consistent with presence of very large pores associated with former root channels in NT and NS aggregates. Our findings indicate that mechanisms of macro-aggregate formation might differ in their importance in different land use and management practices.

  19. Scenarios, targets, gaps, and costs

    SciTech Connect (OSTI)

    Edmonds, James A.; Joos, Fortunat; Nakicenovic, Nebojsa; Richels, Richard G.; Sarmiento, Jorge L.

    2005-03-30

    This paper explores the connection between human activities and the concentration of carbon dioxide in the atmosphere. t explores the implication of the wide range of emissions scenarios developed by the IPCC in the Special Report on Emissions Scenarios and concludes that a robust finding is that major changes will be required in the global energy system if the concentration of carbon dioxide is eventually to be stabilized.

  20. CX-010722: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Soos Creek Water & Sewer District Land Use Review Request Case No. 20120040 CX(s) Applied: B4.9 Date: 08/20/2013 Location(s): Washington Offices(s): Bonneville Power Administration

  1. CX-010145: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    City of Sherwood Sewer Line Replacement Land Use Review Request CX(s) Applied: B4.9 Date: 04/25/2013 Location(s): Oregon Offices(s): Bonneville Power Administration

  2. CX-012659: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Approval of a Land Use Review Request for Fending in Right-of-Way in Klickitat County CX(s) Applied: B4.9Date: 41843 Location(s): WashingtonOffices(s): Bonneville Power Administration

  3. CX-009697: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Tualatin Valley Water District Waterline Land Use Review Request CX(s) Applied: B4.9 Date: 12/31/2012 Location(s): Oregon Offices(s): Bonneville Power Administration

  4. CX-012657: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Approval of a Land Use Review Request for Fending in Right-of-Way in Washington County CX(s) Applied: B4.9Date: 41848 Location(s): OregonOffices(s): Bonneville Power Administration

  5. CX-010147: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Tualatin Valley Water District Waterline Land Use Review Request CX(s) Applied: B4.9 Date: 04/19/2013 Location(s): Oregon Offices(s): Bonneville Power Administration

  6. CX-007988: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Clark County Harding Farms Land Use Review Request CX(s) Applied: B4.9 Date: 02/14/2012 Location(s): Washington Offices(s): Bonneville Power Administration

  7. CX-009200: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Respond to the Town of Eatonville’s Land Use Review Request (LURR) CX(s) Applied: B4.7 Date: 09/19/2012 Location(s): Washington Offices(s): Bonneville Power Administration

  8. CX-009701: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Williams Northwest Pipeline Land Use Review Request CX(s) Applied: B4.9 Date: 12/27/2012 Location(s): Washington Offices(s): Bonneville Power Administration

  9. CX-006313: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Cascade Networks, Inc. Land Use Review Request at Allston SubstationCX(s) Applied: B1.7, B4.7Date: 07/15/2011Location(s): Columbia County, OregonOffice(s): Bonneville Power Administration

  10. CX-008163: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Portland General Electric 13-Kilovolt Overhead Electrical Line Land Use Review Request CX(s) Applied: B4.9 Date: 03/28/2012 Location(s): Oregon Offices(s): Bonneville Power Administration

  11. CX-010723: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Douglas County Public Utility District (PUD) Fiber Land Use Review Request; Case #20130491 CX(s) Applied: B4.9 Date: 08/19/2013 Location(s): Washington Offices(s): Bonneville Power Administration

  12. CX-004253: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Northwest Natural Devine Road Land Use Review RequestCX(s) Applied: B4.9Date: 10/13/2010Location(s): Clark County, WashingtonOffice(s): Bonneville Power Administration

  13. Carbon Flux to the Atmosphere from Land-Use Changes: 1850 to 1990

    SciTech Connect (OSTI)

    Houghton, R.A.

    2001-02-22

    The database documented in this numeric data package, a revision to a database originally published by the Carbon Dioxide Information Analysis Center (CDIAC) in 1995, consists of annual estimates, from 1850 through 1990, of the net flux of carbon between terrestrial ecosystems and the atmosphere resulting from deliberate changes in land cover and land use, especially forest clearing for agriculture and the harvest of wood for wood products or energy. The data are provided on a year-by-year basis for nine regions (North America, South and Central America, Europe, North Africa and the Middle East, Tropical Africa, the Former Soviet Union, China, South and Southeast Asia, and the Pacific Developed Region) and the globe. Some data begin earlier than 1850 (e.g., for six regions, areas of different ecosystems are provided for the year 1700) or extend beyond 1990 (e.g., fuelwood harvest in South and Southeast Asia, by forest type, is provided through 1995). The global net flux during the period 1850 to 1990 was 124 Pg of carbon (1 petagram = 10{sup 15} grams). During this period, the greatest regional flux was from South and Southeast Asia (39 Pg of carbon), while the smallest regional flux was from North Africa and the Middle East (3 Pg of carbon). For the year 1990, the global total net flux was estimated to be 2.1 Pg of carbon.

  14. Land Use and Watersheds: Human Influence on Hydrology and Geomorphology in Urban and Forest Areas. Water Science and Application Series

    SciTech Connect (OSTI)

    Wigmosta, Mark S.; Burges, S J.

    2001-10-01

    What is the effect of urbanization and forest use on hydrologic and geomorphic processes? How can we develop land use policies that minimize adverse impacts on ecosystems while sustaining biodiversity? Land Use and Watersheds: Human Influence on Hydrology and Geomorphology in Urban and Forest Areas addresses these issues and more. By featuring watersheds principally in the American Pacific Northwest, and the effects of timber harvesting and road construction on stream flow, sediment yield and landslide occurrence, scientists can advance their understanding of what constitutes appropriate management of environments with similar hydro-climatic-geomorphic settings worldwide.

  15. 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. ...

  16. 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 ...

  17. 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...

  18. 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 ...

  19. 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...

  20. 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 ...

  1. 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...

  2. 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 ...

  3. 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 ...

  4. 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 ...

  5. Alternative Geothermal Power Production Scenarios

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

    Sullivan, John

    The information given in this file pertains to Argonne LCAs of the plant cycle stage for a set of ten new geothermal scenario pairs, each comprised of a reference and improved case. These analyses were conducted to compare environmental performances among the scenarios and cases. The types of plants evaluated are hydrothermal binary and flash and Enhanced Geothermal Systems (EGS) binary and flash plants. Each scenario pair was developed by the LCOE group using GETEM as a way to identify plant operational and resource combinations that could reduce geothermal power plant LCOE values. Based on the specified plant and well field characteristics (plant type, capacity, capacity factor and lifetime, and well numbers and depths) for each case of each pair, Argonne generated a corresponding set of material to power ratios (MPRs) and greenhouse gas and fossil energy ratios.

  6. Alternative Geothermal Power Production Scenarios

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

    Sullivan, John

    2014-03-14

    The information given in this file pertains to Argonne LCAs of the plant cycle stage for a set of ten new geothermal scenario pairs, each comprised of a reference and improved case. These analyses were conducted to compare environmental performances among the scenarios and cases. The types of plants evaluated are hydrothermal binary and flash and Enhanced Geothermal Systems (EGS) binary and flash plants. Each scenario pair was developed by the LCOE group using GETEM as a way to identify plant operational and resource combinations that could reduce geothermal power plant LCOE values. Based on the specified plant and well field characteristics (plant type, capacity, capacity factor and lifetime, and well numbers and depths) for each case of each pair, Argonne generated a corresponding set of material to power ratios (MPRs) and greenhouse gas and fossil energy ratios.

  7. Modeling the impact of agricultural land use and management on US carbon budgets

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

    Drewniak, B. A.; Mishra, U.; Song, J.; Prell, J.; Kotamarthi, V. R.

    2014-09-22

    Cultivation of the terrestrial land surface can create either a source or sink of atmospheric CO2, depending on land management practices. The Community Land Model (CLM) provides a useful tool to explore how land use and management impact the soil carbon pool at regional to global scales. CLM was recently updated to include representation of managed lands growing maize, soybean, and spring wheat. In this study, CLM-Crop is used to investigate the impacts of various management practices, including fertilizer use and differential rates of crop residue removal, on the soil organic carbon (SOC) storage of croplands in the continental Unitedmore » States over approximately a 170 year period. Results indicate that total US SOC stocks have already lost over 8 Pg C (10%) due to land cultivation practices (e.g., fertilizer application, cultivar choice, and residue removal), compared to a land surface composed of native vegetation (i.e., grasslands). After long periods of cultivation, individual plots growing maize and soybean lost up to 65% of the carbon stored, compared to a grassland site. Crop residue management showed the greatest effect on soil carbon storage, with low and medium residue returns resulting in additional losses of 5% and 3.5%, respectively, in US carbon storage, while plots with high residue returns stored 2% more carbon. Nitrogenous fertilizer can alter the amount of soil carbon stocks significantly. Under current levels of crop residue return, not applying fertilizer resulted in a 5% loss of soil carbon. Our simulations indicate that disturbance through cultivation will always result in a loss of soil carbon, and management practices will have a large influence on the magnitude of SOC loss.« less

  8. Soil carbon sequestration and land use change associated with biofuel production: Empirical evidence

    SciTech Connect (OSTI)

    Qin, Zhangcai; Dunn, Jennifer B.; Kwon, Hoyoung; Mueller, Steffen; Wander, Michelle M.

    2016-01-01

    Soil organic carbon (SOC) change can be a major impact of land use change (LUC) associated with biofuel feedstock production. By collecting and analyzing data from worldwide field observations with major LUCs from cropland, grassland and forest to lands producing biofuel crops (i.e., corn, switchgrass, Miscanthus, poplar and willow), we were able to estimate SOC response ratios and sequestration rates and evaluate the effects of soil depth and time scale on SOC change. Both the amount and rate of SOC change were highly dependent on the specific land transition. Irrespective of soil depth or time horizon, cropland conversions resulted in an overall SOC gain of 6-14% relative to initial SOC level, while conversion from grassland or forest to corn (without residue removal) or poplar caused significant carbon loss (9-35%). No significant SOC changes were observed in land converted from grasslands or forests to switchgrass, Miscanthus or willow. The SOC response ratios were similar in both 0-30 and 0-100 cm soil depths in most cases, suggesting SOC changes in deep soil and that use of top soil only for SOC accounting in biofuel life cycle analysis (LCA) might underestimate total SOC changes. Soil carbon sequestration rates varied greatly among studies and land transition types. Generally, the rates of SOC change tended to be the greatest during the 10 years following land conversion, and had declined to approach 0 within about 20 years for most LUCs. Observed trends in SOC change were generally consistent with previous reports. Soil depth and duration of study significantly influence SOC change rates and so should be considered in carbon emission accounting in biofuel LCA. High uncertainty remains for many perennial systems, field trials and modeling efforts are needed to determine the site- and system-specific rates and direction of change associated with their production.

  9. Modeling the impact of agricultural land use and management on US carbon budgets

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

    Drewniak, B. A.; Mishra, U.; Song, J.; Prell, J.; Kotamarthi, V. R.

    2015-04-09

    Cultivation of the terrestrial land surface can create either a source or sink of atmospheric CO2, depending on land management practices. The Community Land Model (CLM) provides a useful tool for exploring how land use and management impact the soil carbon pool at regional to global scales. CLM was recently updated to include representation of managed lands growing maize, soybean, and spring wheat. In this study, CLM-Crop is used to investigate the impacts of various management practices, including fertilizer use and differential rates of crop residue removal, on the soil organic carbon (SOC) storage of croplands in the continental Unitedmore » States over approximately a 170-year period. Results indicate that total US SOC stocks have already lost over 8 Pg C (10%) due to land cultivation practices (e.g., fertilizer application, cultivar choice, and residue removal), compared to a land surface composed of native vegetation (i.e., grasslands). After long periods of cultivation, individual subgrids (the equivalent of a field plot) growing maize and soybean lost up to 65% of the carbon stored compared to a grassland site. Crop residue management showed the greatest effect on soil carbon storage, with low and medium residue returns resulting in additional losses of 5 and 3.5%, respectively, in US carbon storage, while plots with high residue returns stored 2% more carbon. Nitrogenous fertilizer can alter the amount of soil carbon stocks significantly. Under current levels of crop residue return, not applying fertilizer resulted in a 5% loss of soil carbon. Our simulations indicate that disturbance through cultivation will always result in a loss of soil carbon, and management practices will have a large influence on the magnitude of SOC loss.« less

  10. A Dynamic Simulation of the Indirect Land Use Implications of Recent Biofuel Production and Use in the United States.

    SciTech Connect (OSTI)

    Oladosu, Gbadebo A; Kline, Keith L

    2013-01-01

    The global indirect land use change (ILUC) implications of biofuel use in the United States of America (USA) from 2001 to 2010 are evaluated with a dynamic general equilibrium model. The effects of biofuels production on agricultural land area vary by year; from a net expansion of 0.17 ha per 1000 gallons produced (2002) to a net contraction of 0.13 ha per 1000 gallons (2018) in Case 1 of our simulation. In accordance with the general narrative about the implications of biofuel policy, agricultural land area increased in many regions of the world. However, oil-export dependent economies experienced agricultural land contraction because of reductions in their revenues. Reducing crude oil imports is a major goal of biofuel policy, but the land use change implications have received little attention in the literature. Simulations evaluating the effects of doubling supply elasticities for land and fossil resources show that these parameters can significantly influence the land use change estimates. Therefore, research that provides empirically-based and spatially-detailed agricultural land-supply curves and capability to project future fossil energy prices is critical for improving estimates of the effects of biofuel policy on land use.

  11. Transportation scenarios for risk analysis.

    SciTech Connect (OSTI)

    Weiner, Ruth F.

    2010-09-01

    Transportation risk, like any risk, is defined by the risk triplet: what can happen (the scenario), how likely it is (the probability), and the resulting consequences. This paper evaluates the development of transportation scenarios, the associated probabilities, and the consequences. The most likely radioactive materials transportation scenario is routine, incident-free transportation, which has a probability indistinguishable from unity. Accident scenarios in radioactive materials transportation are of three different types: accidents in which there is no impact on the radioactive cargo, accidents in which some gamma shielding may be lost but there is no release of radioactive material, and accident in which radioactive material may potentially be released. Accident frequencies, obtainable from recorded data validated by the U.S. Department of Transportation, are considered equivalent to accident probabilities in this study. Probabilities of different types of accidents are conditional probabilities, conditional on an accident occurring, and are developed from event trees. Development of all of these probabilities and the associated highway and rail accident event trees are discussed in this paper.

  12. 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 ...

  13. 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...

  14. RECORD OF CATEGORICAL EXCLUSION DETERMINATION

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

    . Categorical Exclusion for erosion repair and cactus relocation along the existing ... the existing right-of-way and to repair erosion damage at transmission line structures. ...

  15. Spatial decision support for strategic environmental assessment of land use plans. A case study in southern Italy

    SciTech Connect (OSTI)

    Geneletti, Davide . E-mail: davide.geneletti@ing.unitn.it; Bagli, Stefano . E-mail: home@gecosistema.it; Napolitano, Paola . E-mail: home@gecosistema.it

    2007-07-15

    This paper presents and discusses the construction of a spatial decision-support tool for the Strategic Environmental Assessment (SEA) of a land use plan: the spatial coordination plan of the Province of Naples, in southern Italy. The decision-support tool organises the relevant information, spatially resolves the actions of the plan, predicts their environmental impacts, and generates overall performance maps. Its final goal is to provide a suitable technical support to a formal SEA procedure. The expected implications of the plan, such as changes in land use and traffic flows and urban expansion, were modelled and assessed against a set of environmental criteria using SWOT (Strengths, Weaknesses, Opportunities and Threats) analysis and mapping. It was found that the SWOT analysis provided a good basis for assessment and strategy formulation. The paper also intends to contribute to the topic of data and scale issues in SEA, by exemplifying the role played by spatial data and spatial analyses to support informative SEA.

  16. THE ROLE OF LAND USE IN ENVIRONMENTAL DECISION MAKING AT THREE DOE MEGA-CLEANUP SITES FERNALD & ROCKY FLATS & MOUND

    SciTech Connect (OSTI)

    JEWETT MA

    2011-01-14

    This paper explores the role that future land use decisions have played in the establishment of cost-effective cleanup objectives and the setting of environmental media cleanup levels for the three major U.S. Department of Energy (DOE) sites for which cleanup has now been successfully completed: the Rocky Flats, Mound, and Fernald Closure Sites. At each site, there are distinct consensus-building histories throughout the following four phases: (1) the facility shut-down and site investigation phase, which took place at the completion of their Cold War nuclear-material production missions; (2) the decision-making phase, whereby stakeholder and regulatory-agency consensus was achieved for the future land-use-based environmental decisions confronting the sites; (3) the remedy selection phase, whereby appropriate remedial actions were identified to achieve the future land-use-based decisions; and (4) the implementation phase, whereby the selected remedial actions for these high-profile sites were implemented and successfully closed out. At each of the three projects, there were strained relationships and distrust between the local community and the DOE as a result of site contamination and potential health effects to the workers and local residents. To engage citizens and interested stakeholder groups - particularly in the role of final land use in the decision-making process, the site management teams at each respective site developed new public-participation strategies to open stakeholder communication channels with site leadership, technical staff, and the regulatory agencies. This action proved invaluable to the success of the projects and reaching consensus on appropriate levels of cleanup. With the implementation of the cleanup remedies now complete, each of the three DOE sites have become models for future environmental-remediation projects and associated decision making.

  17. Energy and greenhouse gas emission effects of corn and cellulosic ethanol with technology improvements and land use changes.

    SciTech Connect (OSTI)

    Wang, M.; Han, J.; Haq, Z; Tyner, .W.; Wu, M.; Elgowainy, A.

    2011-05-01

    Use of ethanol as a transportation fuel in the United States has grown from 76 dam{sup 3} in 1980 to over 40.1 hm{sup 3} in 2009 - and virtually all of it has been produced from corn. It has been debated whether using corn ethanol results in any energy and greenhouse gas benefits. This issue has been especially critical in the past several years, when indirect effects, such as indirect land use changes, associated with U.S. corn ethanol production are considered in evaluation. In the past three years, modeling of direct and indirect land use changes related to the production of corn ethanol has advanced significantly. Meanwhile, technology improvements in key stages of the ethanol life cycle (such as corn farming and ethanol production) have been made. With updated simulation results of direct and indirect land use changes and observed technology improvements in the past several years, we conducted a life-cycle analysis of ethanol and show that at present and in the near future, using corn ethanol reduces greenhouse gas emission by more than 20%, relative to those of petroleum gasoline. On the other hand, second-generation ethanol could achieve much higher reductions in greenhouse gas emissions. In a broader sense, sound evaluation of U.S. biofuel policies should account for both unanticipated consequences and technology potentials. We maintain that the usefulness of such evaluations is to provide insight into how to prevent unanticipated consequences and how to promote efficient technologies with policy intervention.

  18. On linking an Earth system model to the equilibrium carbon representation of an economically optimizing land use model

    SciTech Connect (OSTI)

    Bond-Lamberty, Benjamin; Calvin, Katherine V.; Jones, Andrew D.; Mao, Jiafu; Patel, Pralit L.; Shi, Xiaoying; Thomson, Allison M.; Thornton, Peter E.; Zhou, Yuyu

    2014-01-01

    Human activities are significantly altering biogeochemical cycles at the global scale, posing a significant problem for earth system models (ESMs), which may incorporate static land-use change inputs but do not actively simulate policy or economic forces. One option to address this problem is a to couple an ESM with an economically oriented integrated assessment model. Here we have implemented and tested a coupling mechanism between the carbon cycles of an ESM (CLM) and an integrated assessment (GCAM) model, examining the best proxy variables to share between the models, and quantifying our ability to distinguish climate- and land-use-driven flux changes. CLMs net primary production and heterotrophic respiration outputs were found to be the most robust proxy variables by which to manipulate GCAMs assumptions of long-term ecosystem steady state carbon, with short-term forest production strongly correlated with long-term biomass changes in climate-change model runs. By leveraging the fact that carbon-cycle effects of anthropogenic land-use change are short-term and spatially limited relative to widely distributed climate effects, we were able to distinguish these effects successfully in the model coupling, passing only the latter to GCAM. By allowing climate effects from a full earth system model to dynamically modulate the economic and policy decisions of an integrated assessment model, this work provides a foundation for linking these models in a robust and flexible framework capable of examining two-way interactions between human and earth system processes.

  19. ETI Energy Scenario Tool User Guide About the ETI Energy Scenario Tool

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

    ETI Energy Scenario Tool User Guide About the ETI Energy Scenario Tool The ETI Energy Scenario Tool is an Excel-based scenario model that calculates the cost of electricity for custom generation profiles. This tool is intended to model scenarios in Hawaii and other islands. Data Entry Screens Scenario Details The Scenario Details screen serves as the main menu for the Scenario Tool and the starting point for using the tool. On this screen, users can create a new scenario, copy and modify an

  20. CX-002746: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Sustainable Biomass Production on Marginal Lands Using a Novel Legume/Grass MixtureCX(s) Applied: B3.6, B5.1Date: 06/16/2010Location(s): Urbana-Champaign, IllinoisOffice(s): Energy Efficiency and Renewable Energy, Golden Field Office

  1. CX-013306: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Approval of Land Use Review Request for Sewer Installation and Park Construction in a BPA Right-of-Way in Clark County CX(s) Applied: B4.9Date: 01/26/2015 Location(s): WashingtonOffices(s): Bonneville Power Administration

  2. APPLICATION OF A CATEGORICAL EXCLUSION

    Energy Savers [EERE]

    categorical exclusion (451.1a-015) involve conducting Site Characterization, Investigation and Environmental Monitoring Activities at the Portsmouth Gaseous Diffusion Facility located performing in Piketon, Ohio and the Paducah Gaseous Diffusion Plant located in Paducah, Kentucky. Number and Title of the Categorical Exclusions Applied: 10 CFR 1021, Appendix B to Subpart D. B3.1 Site Characterization and Environmental Monitoring

  3. 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 ...

  4. 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 ...

  5. 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 ...

  6. 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):...

  7. 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...

  8. 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...

  9. 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...

  10. 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 ...

  11. 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...

  12. 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,...

  13. 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...

  14. EA-1936: Proposed Changes to Parcel ED-1 Land Uses, Utility Infrastructure, and Natural Area Management Responsibility, Oak Ridge, Tennessee

    Broader source: Energy.gov [DOE]

    NOTE: This EA has been cancelled. This EA will evaluate the environmental impacts of DOE’s proposed modifications to the allowable land uses, utility infrastructure, and Natural Area management responsibility for Parcel ED-1. The purpose of the modifications is to enhance the development potential of the Horizon Center business/industrial park, while ensuring protection of the adjacent Natural Area. The area addressed by the proposed action was evaluated for various industrial/business uses in the Environmental Assessment Addendum for the Proposed Title Transfer of Parcel ED-1, DOE/EA-1113-A.

  15. Assessment of Uncertainties in the Response of the African Monsoon Precipitation to Land Use change simulated by a regional model

    SciTech Connect (OSTI)

    Hagos, Samson M.; Leung, Lai-Yung Ruby; Xue, Yongkang; Boone, Aaron; de Sales, Fernando; Neupane, Naresh; Huang, Maoyi; Yoon, Jin-Ho

    2014-02-22

    Land use and land cover over Africa have changed substantially over the last sixty years and this change has been proposed to affect monsoon circulation and precipitation. This study examines the uncertainties on the effect of these changes on the African Monsoon system and Sahel precipitation using an ensemble of regional model simulations with different combinations of land surface and cumulus parameterization schemes. Although the magnitude of the response covers a broad range of values, most of the simulations show a decline in Sahel precipitation due to the expansion of pasture and croplands at the expense of trees and shrubs and an increase in surface air temperature.

  16. Radiation Detection Computational Benchmark Scenarios

    SciTech Connect (OSTI)

    Shaver, Mark W.; Casella, Andrew M.; Wittman, Richard S.; McDonald, Ben S.

    2013-09-24

    Modeling forms an important component of radiation detection development, allowing for testing of new detector designs, evaluation of existing equipment against a wide variety of potential threat sources, and assessing operation performance of radiation detection systems. This can, however, result in large and complex scenarios which are time consuming to model. A variety of approaches to radiation transport modeling exist with complementary strengths and weaknesses for different problems. This variety of approaches, and the development of promising new tools (such as ORNL’s ADVANTG) which combine benefits of multiple approaches, illustrates the need for a means of evaluating or comparing different techniques for radiation detection problems. This report presents a set of 9 benchmark problems for comparing different types of radiation transport calculations, identifying appropriate tools for classes of problems, and testing and guiding the development of new methods. The benchmarks were drawn primarily from existing or previous calculations with a preference for scenarios which include experimental data, or otherwise have results with a high level of confidence, are non-sensitive, and represent problem sets of interest to NA-22. From a technical perspective, the benchmarks were chosen to span a range of difficulty and to include gamma transport, neutron transport, or both and represent different important physical processes and a range of sensitivity to angular or energy fidelity. Following benchmark identification, existing information about geometry, measurements, and previous calculations were assembled. Monte Carlo results (MCNP decks) were reviewed or created and re-run in order to attain accurate computational times and to verify agreement with experimental data, when present. Benchmark information was then conveyed to ORNL in order to guide testing and development of hybrid calculations. The results of those ADVANTG calculations were then sent to PNNL for compilation. This is a report describing the details of the selected Benchmarks and results from various transport codes.

  17. 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, ...

  18. CX-007513: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Record of Categorical Exclusion for Driver Inspection of Bryan Mound 36 inch Raw Water Pipeline CX(s) Applied: B1.3 Date: 12/20/2011 Location(s): Texas Offices(s): Strategic Petroleum Reserve Field Office

  19. 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 ...

  20. CX-002907: Categorical Exclusion Determination

    Office of Energy Efficiency and Renewable Energy (EERE)

    Clean Start Propane Refueling, Vehicle Incentive and Outreach (Summary Categorical Exclusion)CX(s) Applied: B5.1Date: 07/06/2010Location(s): TexasOffice(s): Energy Efficiency and Renewable Energy, National Energy Technology Laboratory

  1. CX-010896: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    California Low Carbon Fuels Infrastructure Investment Initiative (SUMMARY Categorical Exclusion) CX(s) Applied: B5.22 Date: 06/27/2013 Location(s): California Offices(s): National Energy Technology Laboratory

  2. 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 ...

  3. CX-011434: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Midwest Regional Carbon Sequestration Partnership - Phase III (Categorical Exclusion (CX)-A Tasks) CX(s) Applied: A1, A9 Date: 11/21/2013 Location(s): Ohio Offices(s): National Energy Technology Laboratory

  4. CX-003549: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Request for Categorical Exclusion-A for Computer ModelingCX(s) Applied: A9Date: 08/25/2010Location(s): Bloomington, IndianaOffice(s): Fossil Energy, National Energy Technology Laboratory

  5. CX-007511: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Record of Categorical Exclusion for Repair Erosion Problems at Big Hill Raw Water Intake Structure CX(s) Applied: B1.3 Date: 12/05/2011 Location(s): Texas Offices(s): Strategic Petroleum Reserve Field Office

  6. CX-007505: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Record of Categorical Exclusion for Big Hill Raw Water Brine header Piping Inspection CX(s) Applied: B1.3 Date: 11/28/2011 Location(s): Texas Offices(s): Strategic Petroleum Reserve Field Office

  7. CX-007514: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Record of Categorical Exclusion for Big Hill Anhydrite Pond Liner Replacement CX(s) Applied: B1.3 Date: 12/20/2011 Location(s): Texas Offices(s): Strategic Petroleum Reserve Field Office

  8. CX-013663: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Site-Wide Categorical Exclusion: Routine Maintenance CX(s) Applied: B3.1Date: 04/23/2015 Location(s): IllinoisOffices(s): Fermi Site Office

  9. 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 ...

  10. CX-001806: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Midwest Region Alternative Fuels Project (Summary Categorical Exclusion)CX(s) Applied: B5.1Date: 04/20/2010Location(s): KansasOffice(s): Energy Efficiency and Renewable Energy, National Energy Technology Laboratory

  11. CX-010788: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Fossil Fleet Transition with Fuel Changes and Large Scale Variable Renewable Integration - SUMMARY Categorical Exclusion (CX) CX(s) Applied: A9 Date: 08/14/2013 Location(s): Multiple States Offices(s): National Energy Technology Laboratory

  12. CX-008181: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Sitewide Categorical Exclusion for Research Activities in Aquatic Environments CX(s) Applied: B3.16 Date: 03/28/2012 Location(s): Oregon, Washington, Idaho Offices(s): Pacific Northwest Site Office

  13. NEPA - Categorical Exclusions - Hanford Site

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

    Documents Environmental NEPA - Categorical Exclusions Documents Documents Hanford Site Cleanup Completion Framework Tri-Party Agreement Freedom of Information and Privacy Act Hanford Site Budget Hanford Site Safety Standards DOE - ORP Contracts/Procurements DOE - RL Contracts/Procurements Integrated Waste Feed Delivery Plan Single-Shell Tank Evaluations Deep Vadose Zone 100-F RI/FS Sitewide Probabilistic Seismic Hazard Analysis Environmental CERCLA Five-Year Review NEPA - Categorical Exclusions

  14. Categorical Exclusions | Department of Energy

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

    Categorical Exclusions Categorical Exclusions The documents included on the Environmental Compliance Division webpages have been posted to comply with applicable environmental requirements as part of LPO's due diligence process for issuing a Department of Energy loan or loan guarantee. With the exception of a Record of Decision, the posting of these documents should not be construed as recommending a decision about the issuance of a loan or loan guarantee. May 6, 2014 CX: Categorical

  15. A spatially distributed model for the assessment of land use impacts on stream temperature in small urban watersheds

    SciTech Connect (OSTI)

    Sun, Ning; Yearsley, John; Voisin, Nathalie; Lettenmaier, D. P.

    2015-05-15

    Stream temperatures in urban watersheds are influenced to a high degree by anthropogenic impacts related to changes in landscape, stream channel morphology, and climate. These impacts can occur at small time and length scales, hence require analytical tools that consider the influence of the hydrologic regime, energy fluxes, topography, channel morphology, and near-stream vegetation distribution. Here we describe a modeling system that integrates the Distributed Hydrologic Soil Vegetation Model, DHSVM, with the semi-Lagrangian stream temperature model RBM, which has the capability to simulate the hydrology and water temperature of urban streams at high time and space resolutions, as well as a representation of the effects of riparian shading on stream energetics. We demonstrate the modeling system through application to the Mercer Creek watershed, a small urban catchment near Bellevue, Washington. The results suggest that the model is able both to produce realistic streamflow predictions at fine temporal and spatial scales, and to provide spatially distributed water temperature predictions that are consistent with observations throughout a complex stream network. We use the modeling construct to characterize impacts of land use change and near-stream vegetation change on stream temperature throughout the Mercer Creek system. We then explore the sensitivity of stream temperature to land use changes and modifications in vegetation along the riparian corridor.

  16. Transport Test Problems for Radiation Detection Scenarios

    SciTech Connect (OSTI)

    Shaver, Mark W.; Miller, Erin A.; Wittman, Richard S.; McDonald, Benjamin S.

    2012-09-30

    This is the final report and deliverable for the project. It is a list of the details of the test cases for radiation detection scenarios.

  17. Energy Transition Initiative Energy Scenario Tool Transcript

    Broader source: Energy.gov [DOE]

    This video demonstrates the Island Energy Scenario Tool developed for the Department of Energy’s Office of Energy Efficiency and Renewable Energy's Technology-to-Market program.

  18. Scenario Evaluation, Regionalization & Analysis (SERA) | Open...

    Open Energy Info (EERE)

    analysis model that determines the optimal production and delivery scenarios for hydrogen, given resource availability and technology cost. Given annual H2 demands on a...

  19. Assessment of Uncertainties in the Response of the African Monsoon Precipitation to Land Use change simulated by a regional model

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

    Hagos, Samson M.; Leung, Lai-Yung Ruby; Xue, Yongkang; Boone, Aaron; de Sales, Fernando; Neupane, Naresh; Huang, Maoyi; Yoon, Jin-Ho

    2014-02-22

    Land use and land cover over Africa have changed substantially over the last sixty years and this change has been proposed to affect monsoon circulation and precipitation. This study examines the uncertainties on the effect of these changes on the African Monsoon system and Sahel precipitation using an ensemble of regional model simulations with different combinations of land surface and cumulus parameterization schemes. Although the magnitude of the response covers a broad range of values, most of the simulations show a decline in Sahel precipitation due to the expansion of pasture and croplands at the expense of trees and shrubsmore » and an increase in surface air temperature.« less

  20. Final Report for ''SOURCES AND SINKS OF CARBON FROM LAND-USE CHANGE AND MANAGEMENT: A GLOBAL SYNTHESIS'' Project Period September 15, 2001--September 14, 2003

    SciTech Connect (OSTI)

    Houghton, R.A.

    2003-12-12

    Land management and land-use change can either release carbon (as CO{sub 2}) to the atmosphere, for example when forests are converted to agricultural lands, or withdraw carbon from the atmosphere as forests grow on cleared lands or as management practices sequester carbon in soil. The purpose of this work was to calculate the annual sources and sinks of carbon from changes in land use and management, globally and for nine world regions, over the period 1850 to 2000. The approach had three components. First, rates of land-use change were reconstructed from historical information on the areas of croplands, pastures, forests, and other lands and from data on wood harvests. In most regions, land-use change included the conversion of natural ecosystems to cultivated lands and pastures, including shifting cultivation, harvest of wood (for timber and fuel), and the establishment of tree plantations. In the U.S., woody encroachment and woodland thickening as a result of fire suppression were also included. Second, the amount of carbon per hectare in vegetation and soils and changes in that carbon as a result of land-use change were determined from data obtained in the ecological and forestry literature. These data on land-use change and carbon stocks were then used in a bookkeeping model (third component) to calculate regional and global changes in terrestrial carbon. The results indicate that for the period 1850-2000 the net flux of carbon from changes in land use was 156 PgC. For comparison, emissions of carbon from combustion of fossil fuels were approximately 280 PgC during the same interval. Annual emissions from land-use change exceeded emissions from fossil fuels before about 1920. Somewhat more that half (60%) of the long-term flux was from the tropics. Average annual fluxes during the 1980s and 1990s were 2.0 and 2.2 ({+-}0.8) PgC yr{sup -1} (30-40% of fossil fuel emissions), respectively. In these decades, the global sources of carbon were almost entirely from the tropics. Outside the tropics, the average net flux of carbon attributable to land-use change and management decreased from a source of 0.06 PgC yr{sup -1} during the 1980s to a sink of 0.03 PgC yr{sup -1} during the 1990s. According to these analyses, changes in land use were responsible for sinks in North America and Europe and for small sources in other non-tropical regions.

  1. APPLICATION OF A CATEGORICAL EXCLUSION

    Energy Savers [EERE]

    actions that would occur under this generic categorical exclusion (451.1a- 014) include the performance of routine maintenance activities occurring at the Portsmouth Gaseous Diffusion Facility located in Piketon, Ohio and the Paducah Gaseous Diffusion Plant located in Paducah, Kentucky. Number and Title of the Categorical Exclusions Applied: 10 CFR 1021, Appendix B to Subpart D. B1.3 Routine Maintenance; B1.27 Disconnection of Utilities; B2.1 Workplace Enhancements; B2.3 Personnel Safety and

  2. Property:NEPA CategoricalExclusion | Open Energy Information

    Open Energy Info (EERE)

    CategoricalExclusion Jump to: navigation, search Property Name NEPA CategoricalExclusion Property Type Page Description Files documenting Categorical Exclusion Environmental Review...

  3. CX-005807: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Radiological Evidence Examination Facility (REEF) Full Activation Scenario Training ExerciseCX(s) Applied: B3.6Date: 03/29/2011Location(s): Aiken, South CarolinaOffice(s): Environmental Management, Savannah River Operations Office

  4. integrated-land-use

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

    institutional research Sniffing out danger from above NNSA's efforts to prevent, counter, and respond to the dangers of nuclear proliferation and terrorism are vital to U.S. national security. Terrorist attacks in the past year in Europe and the United States have highlighted the evolving and unpredictable nature of the threat. Science,... Institutional Research & Development Functions The Office of Advanced Simulation and Computing and Institutional R&D, a program office part of the

  5. Tank waste remediation system operational scenario

    SciTech Connect (OSTI)

    Johnson, M.E.

    1995-05-01

    The Tank Waste Remediation System (TWRS) mission is to store, treat, and immobilize highly radioactive Hanford waste (current and future tank waste and the strontium and cesium capsules) in an environmentally sound, safe, and cost-effective manner (DOE 1993). This operational scenario is a description of the facilities that are necessary to remediate the Hanford Site tank wastes. The TWRS Program is developing technologies, conducting engineering analyses, and preparing for design and construction of facilities necessary to remediate the Hanford Site tank wastes. An Environmental Impact Statement (EIS) is being prepared to evaluate proposed actions of the TWRS. This operational scenario is only one of many plausible scenarios that would result from the completion of TWRS technology development, engineering analyses, design and construction activities and the TWRS EIS. This operational scenario will be updated as the development of the TWRS proceeds and will be used as a benchmark by which to evaluate alternative scenarios.

  6. CX-010914: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Pilot Testing of a Highly Efficient Pre-Combustion Sorbent-Based Carbon Capture System (SUMMARY Categorical Exclusion (CX)) CX(s) Applied: A9, A11, B3.6 Date: 09/24/2013 Location(s): Multiple States, China, Canada Offices(s): National Energy Technology Laboratory

  7. CX-011602: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Mission Support Alliance Annual Categorical Exclusion for Disconnection of Utilities under 10 CFR 1021, Subpart D, Appendix B, B1.27 for Calendar Year 2014 CX(s) Applied: B1.27 Date: 12/02/2013 Location(s): Washington Offices(s): River Protection-Richland Operations Office

  8. Exclusive processes in quantum chromodynamics

    SciTech Connect (OSTI)

    Brodsky, S.J.; Lepage, G.P.

    1981-06-01

    Large momentum transfer exclusive processes and the short distance structure of hadronic wave functions can be systematically analyzed within the context of perturbative QCD. Predictions for meson form factors, two-photon processes ..gamma gamma.. ..-->.. M anti M, hadronic decays of heavy quark systems, and a number of other related QCD phenomena are reviewed.

  9. CX-011607: Categorical Exclusion Determination

    Office of Energy Efficiency and Renewable Energy (EERE)

    Mission Support Alliance Annual Categorical Exclusion for Air Conditioning Systems for Existing Equipment under 10 CFR 1021, Subpart D, Appendix B, B1.4 for Calendar Year 2014 CX(s) Applied: B1.4 Date: 12/02/2013 Location(s): Washington Offices(s): River Protection-Richland Operations Office

  10. CX-011606: Categorical Exclusion Determination

    Office of Energy Efficiency and Renewable Energy (EERE)

    Mission Support Alliance Annual Categorical Exclusion for Support Buildings under 10 CFR 1021, Subpart D, Appendix B, B1.15 for Calendar Year 2014 CX(s) Applied: B1.15 Date: 12/02/2013 Location(s): Washington Offices(s): River Protection-Richland Operations Office

  11. CX-011592: Categorical Exclusion Determination

    Office of Energy Efficiency and Renewable Energy (EERE)

    Mission Support Alliance Annual Categorical Exclusion for Facilities to Store Packaged Hazardous Waste for 90 Days or Less under 10 CFR 1021, Subpart D, Appendix B, B6.4 for Calendar Year 2014 CX(s) Applied: B6.4 Date: 12/02/2013 Location(s): Washington Offices(s): River Protection-Richland Operations Office

  12. CX-011595: Categorical Exclusion Determination

    Office of Energy Efficiency and Renewable Energy (EERE)

    Mission Support Alliance Annual Categorical Exclusion for Small-Scale Research and Development, Laboratory Operations, and Pilot Projects under 10 CFR 1021, Subpart D, Appendix B, B3.6 for Calendar Year 2014 CX(s) Applied: B3.6 Date: 12/02/2013 Location(s): Washington Offices(s): River Protection-Richland Operations Office

  13. CX-011594: Categorical Exclusion Determination

    Office of Energy Efficiency and Renewable Energy (EERE)

    Mission Support Alliance Annual Categorical Exclusion for Actions to Conserve Energy or Water under 10 CFR 1021, Subpart D, Appendix B, B5.1 for Calendar Year 2014 CX(s) Applied: B5.1 Date: 12/02/2013 Location(s): Washington Offices(s): River Protection-Richland Operations Office

  14. CX-011610: Categorical Exclusion Determination

    Office of Energy Efficiency and Renewable Energy (EERE)

    Mission Support Alliance Annual Categorical Exclusion for Training Exercises and Simulations under 10 CFR 1021, Subpart D, Appendix B, B1.2 for Calendar Year 2014 CX(s) Applied: B1.2 Date: 12/02/2013 Location(s): Washington Offices(s): River Protection-Richland Operations Office

  15. CX-011600: Categorical Exclusion Determination

    Office of Energy Efficiency and Renewable Energy (EERE)

    Mission Support Alliance Annual Categorical Exclusion for Traffic Flow Adjustments under 10 CFR 1021, Subpart D, Appendix B, B1.32 for Calendar Year 2014 CX(s) Applied: B1.32 Date: 12/02/2013 Location(s): Washington Offices(s): River Protection-Richland Operations Office

  16. CX-011601: Categorical Exclusion Determination

    Office of Energy Efficiency and Renewable Energy (EERE)

    Mission Support Alliance Annual Categorical Exclusion for Installation or Relocation of Machinery and Equipment under 10 CFR 1021, Subpart D, Appendix B, B1.31 for Calendar Year 2014 CX(s) Applied: B1.31 Date: 12/02/2013 Location(s): Washington Offices(s): River Protection-Richland Operations Office

  17. CX-009668: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Mission Support Alliance Annual Categorical Exclusion for Polychlorinated Biphenyl Removal under 10 CFR 1021, Subpart D, Appendix B CX(s) Applied: B1.17 Date: 12/05/2012 Location(s): Washington Offices(s): River Protection-Richland Operations Office

  18. CX-009666: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Mission Support Alliance Annual Categorical Exclusion for Support Buildings under 10 CFR 1021, Subpart D, Appendix B CX(s) Applied: B1.15 Date: 12/05/2012 Location(s): Washington Offices(s): River Protection-Richland Operations Office

  19. CX-009664: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Mission Support Alliance Annual Categorical Exclusion for Routine Maintenance and Custodial Services under 10 CFR 1021, Subpart D, Appendix B CX(s) Applied: B1.3 Date: 12/05/2012 Location(s): Washington Offices(s): River Protection-Richland Operations Office

  20. CX-009657: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Mission Support Alliance Annual Categorical Exclusion for Site Characterization and Environmental Monitoring under 10 CFR 1021, Subpart D, Appendix B CX(s) Applied: B3.1 Date: 12/05/2012 Location(s): Washington Offices(s): River Protection-Richland Operations Office

  1. CX-009662: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Mission Support Alliance Annual Categorical Exclusion for Training Exercises and Simulations under 10 CFR 1021, Subpart D, Appendix B CX(s) Applied: B1.2 Date: 12/05/2012 Location(s): Washington Offices(s): River Protection-Richland Operations Office

  2. CX-009665: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Mission Support Alliance Annual Categorical Exclusion for Air Conditioning Systems for Existing Equipment under 10 CFR 1021, Subpart o, Appendix B CX(s) Applied: B1.4 Date: 12/05/2012 Location(s): Washington Offices(s): River Protection-Richland Operations Office

  3. CX-009658: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Mission Support Alliance Annual Categorical Exclusion for Small-Scale Research and Development, Laboratory Operations, and Pilot Projects under 10 CFR 1021, Subpart D, Appendix B CX(s) Applied: B3.6 Date: 12/05/2012 Location(s): Washington Offices(s): River Protection-Richland Operations Office

  4. CX-009669: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Mission Support Alliance Annual Categorical Exclusion for Relocation of Buildings under 10 CFR 1021, Subpart D, Appendix B CX(s) Applied: B1.22 Date: 12/05/2012 Location(s): Washington Offices(s): River Protection-Richland Operations Office

  5. CX-009654: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Mission Support Alliance Annual Categorical Exclusion for Drop-Off, Collection, and Transfer Facilities for Recyclable Materials under 10 CFR 1021, Subpart D, Appendix B CX(s) Applied: B1.35 Date: 12/05/2012 Location(s): Washington Offices(s): River Protection-Richland Operations Office

  6. CX-009655: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Mission Support Alliance Annual Categorical Exclusion for Building and Equipment Instrumentation under 10 CFR 1021, Subpart D, Appendix B CX(s) Applied: B2.2 Date: 12/05/2012 Location(s): Washington Offices(s): River Protection-Richland Operations Office

  7. CX-009659: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Mission Support Alliance Annual Categorical Exclusion for Actions to Conserve Energy or Water under 10 CFR 1021, Subpart D, Appendix B CX(s) Applied: B5.1 Date: 12/05/2012 Location(s): Washington Offices(s): River Protection-Richland Operations Office

  8. CX-009663: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Mission Support Alliance Annual Categorical Exclusion for Transfer Actions under 10 CFR 1021, Subpart D, Appendix B CX(s) Applied: B1.30 Date: 12/05/2012 Location(s): Washington Offices(s): River Protection-Richland Operations Office

  9. CX-009661: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Mission Support Alliance Annual Categorical Exclusion for Installation or Relocation of Machinery and Equipment under 10 CFR 1021, Subpart D, Appendix B CX(s) Applied: B1.31 Date: 12/05/2012 Location(s): Washington Offices(s): River Protection-Richland Operations Office

  10. CX-009670: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Mission Support Alliance Annual Categorical Exclusion for Disconnection of Utilities under 10 CFR 1021, Subpart D, Appendix B CX(s) Applied: B1.27 Date: 12/05/2012 Location(s): Washington Offices(s): River Protection-Richland Operations Office

  11. CX-009667: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Mission Support Alliance Annual Categorical Exclusion for Asbestos Removal under 10 CFR 1021, Subpart D, Appendix B CX(s) Applied: B1.16 Date: 12/05/2012 Location(s): Washington Offices(s): River Protection-Richland Operations Office

  12. CX-009660: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Mission Support Alliance Annual Categorical Exclusion for Traffic Flow Adjustments under 10 CFR 1021, Subpart D, Appendix B CX(s) Applied: B1.32 Date: 12/05/2012 Location(s): Washington Offices(s): River Protection-Richland Operations Office

  13. CX-009656: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Mission Support Alliance Annual Categorical Exclusion for Facility Safety and Environmental Improvements under10 CFR 1021, Subpart D CX(s) Applied: B2.5 Date: 12/05/2012 Location(s): Washington Offices(s): River Protection-Richland Operations Office

  14. CX-009653: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Mission Support Alliance Annual Categorical Exclusion for Oil Spill Cleanup under 10 CFR 1021, Subpart D, Appendix B CX(s) Applied: B5.6 Date: 12/15/2012 Location(s): Washington Offices(s): River Protection-Richland Operations Office

  15. CX-009681: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Mission Support Alliance Annual Categorical Exclusion for Electronic Equipment under 10 CFR 1021, Subpart D, Appendix B CX(s) Applied: B1.7 Date: 12/05/2012 Location(s): Washington Offices(s): River Protection-Richland Operations Office

  16. CX-011598: Categorical Exclusion Determination

    Office of Energy Efficiency and Renewable Energy (EERE)

    Mission Support Alliance Annual Categorical Exclusion for Building and Equipment Instrumentation under 10 CFR 1021, Subpart D, Appendix B, B2.2 for Calendar Year 2014 CX(s) Applied: B2.2 Date: 12/02/2013 Location(s): Washington Offices(s): River Protection-Richland Operations Office

  17. CX-008024: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    CATEGORICAL EXCLUSION (CX) FOR REDUCTION AND CAPTURE OF METHANE AND GREENHOUSE GASES (CX-EECBG-010)CX(s) Applied: B3.6, B3.9, B5.12Date: 11/16/2011Location(s): NationwideOffice(s): Energy Efficiency & Renewable Energy (EERE) / Oak Ridge Office (ORO)

  18. CX-011604: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Mission Support Alliance Annual Categorical Exclusion for Polychlorinated Biphenyl Removal under 10 CFR 1021, Subpart D, Appendix B, B1.17 for Calendar Year 2014 CX(s) Applied: B1.17 Date: 12/02/2013 Location(s): Washington Offices(s): River Protection-Richland Operations Office

  19. CX-011605: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Mission Support Alliance Annual Categorical Exclusion for Asbestos Removal under 10 CFR 1021, Subpart D, Appendix B, B1.16 for Calendar Year 2014 CX(s) Applied: B1.16 Date: 12/02/2013 Location(s): Washington Offices(s): River Protection-Richland Operations Office

  20. CX-001691: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    New York State Retail E85 Fueling Station Project (Summary Categorical Exclusion)CX(s) Applied: B5.1Date: 04/22/2010Location(s): New YorkOffice(s): Energy Efficiency and Renewable Energy, National Energy Technology Laboratory

  1. CX-003389: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Today's Leaders for a Sustainable Tomorrow (Summary Categorical Exclusion)CX(s) Applied: A9, A11, B5.1Date: 08/11/2010Location(s): MinnesotaOffice(s): Energy Efficiency and Renewable Energy, National Energy Technology Laboratory

  2. CX-008015: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    CATEGORICAL EXCLUSION (CX) FOR DEVELOPMENT AND IMPLEMENTATION OF ENERGY EFFICIENCY AND CONSERVATION STRATEGIES (CX-EECBG-001) CX(s) Applied: A9, A11, B5.1 Date: 10/15/2011 Location(s): Nationwide Office(s): Energy Efficiency & Renewable Energy (EERE) / Oak Ridge Office (ORO)

  3. CX-008023: Categorical Exclusion Determination

    Office of Energy Efficiency and Renewable Energy (EERE)

    CATEGORICAL EXCLUSION (CX) FOR MATERIAL CONSERVATION PROGRAMS (CX-EECBG-009)CX(s) Applied: A9, B3.6, B5.1Date: 11/16/2011Location(s): NationwideOffice(s): Energy Efficiency & Renewable Energy (EERE) / Oak Ridge Office (ORO)

  4. CX-007510: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Record of Categorical Exclusion for Tear Down, Inspect and Repair Bayou Choctaw Brine Filters at BDW Pad 1 CX(s) Applied: B1.3 Date: 11/29/2011 Location(s): Louisiana Offices(s): Strategic Petroleum Reserve Field Office

  5. CX-011608: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Mission Support Alliance Annual Categorical Exclusion for Routine Maintenance and Custodial Services under 10 CFR 1021, Subpart D, Appendix B, B1.3 for Calendar Year 2014 CX(s) Applied: B1.3 Date: 12/02/2013 Location(s): Washington Offices(s): River Protection-Richland Operations Office

  6. CX-008022: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    CATEGORICAL EXCLUSION (CX) FOR ENERGY DISTRIBUTION (CX-EECBG-008)CX(s) Applied: A1, B5.1Date: 11/16/2011Location(s): NationwideOffice(s): Energy Efficiency & Renewable Energy (EERE) / Oak Ridge Office (ORO)

  7. 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

  8. 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

  9. CX-004976: Categorical Exclusion Determination

    Office of Energy Efficiency and Renewable Energy (EERE)

    New York State Retail Ethanol Fueling Station Project (Summary Categorical Exclusion - Seven Sites)CX(s) Applied: B5.1Date: 01/12/2011Location(s): Kings Park, New YorkOffice(s): Energy Efficiency and Renewable Energy, National Energy Technology Laboratory

  10. CX-007509: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Record of Categorical Exclusion for Use of RW Surge Line to Big Hill Anhydrite Pond for Raw Water Intake Structure Recycle CX(s) Applied: B1.3 Date: 11/28/2011 Location(s): Texas Offices(s): Strategic Petroleum Reserve Field Office

  11. CX-007508: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Record of Categorical Exclusion for Rework Bryan Mound Seaway Dock Terminal Bypass Valve MOV-C308 CX(s) Applied: B1.3 Date: 11/16/2011 Location(s): Texas Offices(s): Strategic Petroleum Reserve Field Office

  12. CX-001591: Categorical Exclusion Determination

    Office of Energy Efficiency and Renewable Energy (EERE)

    E85/B20 for I-65 and Beyond: Replication Biofuels (Summary Categorical Exclusion (CX))CX(s) Applied: B5.1Date: 04/15/2010Location(s): IndianaOffice(s): Energy Efficiency and Renewable Energy, National Energy Technology Laboratory

  13. CX-011596: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Mission Support Alliance Annual Categorical Exclusion for Site Characterization and Environmental Monitoring under 10 CFR 1021, Subpart D, Appendix B, B3.1 for Calendar Year 2014 CX(s) Applied: B3.1 Date: 12/02/2013 Location(s): Washington Offices(s): River Protection-Richland Operations Office

  14. CX-008021: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    CATEGORICAL EXCLUSION (CX) FOR DEVELOPMENT AND IMPLEMENTATION OF TRANSPORTATION PROGRAMS TO CONSERVE ENERGY AND REDUCE ENVIRONMENTAL IMPACTS (CX-EECBG-006)CX(s) Applied: A1, B1.13, B1.32, B5.1, B5.16Date: 11/16/2011Location(s): NationwideOffice(s): Energy Efficiency & Renewable Energy (EERE) / Oak Ridge Office (ORO)

  15. CX-008025: Categorical Exclusion Determination

    Office of Energy Efficiency and Renewable Energy (EERE)

    CATEGORICAL EXCLUSION (CX) FOR TRAFFIC SIGNALS AND STREET LIGHTING (CX-EECBG-011)CX(s) Applied: B1.32, B5.1Date: 11/16/2011Location(s): NationwideOffice(s): Energy Efficiency & Renewable Energy (EERE) / Oak Ridge Office (ORO)

  16. CX-013879: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Generic Categorical Exclusion for Small-Scale Renewable Energy Research and Development and Pilot Projects in Aquatic Environments CX(s) Applied: B5.25Date: 06/04/2015 Location(s): WashingtonOffices(s): Pacific Northwest Site Office

  17. CX-003056: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Synchrophasor Based Tracking Three Phase State Estimator and Its Applications (Summary Categorical Exclusion)CX(s) Applied: B1.31, B4.6Date: 07/19/2010Location(s): VirginiaOffice(s): Electricity Delivery and Energy Reliability, National Energy Technology Laboratory

  18. CX-011599: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Mission Support Alliance Annual Categorical Exclusion for Drop-Off, Collection, and Transfer Facilities for Recyclable Materials under 10 CFR 1021, Subpart D, Appendix B, B1.35 for Calendar Year 2014 CX(s) Applied: B1.35 Date: 12/02/2013 Location(s): Washington Offices(s): River Protection-Richland Operations Office

  19. CX-011603: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Mission Support Alliance Annual Categorical Exclusion for Relocation of Buildings under 10 CFR 1021, Subpart D, Appendix B, B1.22 for Calendar Year 2014 CX(s) Applied: B1.22 Date: 12/02/2013 Location(s): Washington Offices(s): River Protection-Richland Operations Office

  20. CX-011609: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Mission Support Alliance Annual Categorical Exclusion for Transfer Actions under 10 CFR 1021, Subpart D, Appendix B, B1.30 for Calendar Year 2014 CX(s) Applied: B1.30 Date: 12/02/2013 Location(s): Washington Offices(s): River Protection-Richland Operations Office

  1. CX-011597: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Mission Support Alliance Annual Categorical Exclusion for Facility Safety and Environmental Improvements under 10 CFR 1021, Subpart D, Appendix B, B2.5 for Calendar Year 2014 CX(s) Applied: B2.5 Date: 12/02/2013 Location(s): Washington Offices(s): River Protection-Richland Operations Office

  2. CX-011593: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Mission Support Alliance Annual Categorical Exclusion for Oil Spill Cleanup under 10 CFR 1021, Subpart D, Appendix B, B5.6 for Calendar Year 2014 CX(s) Applied: B5.6 Date: 12/02/2013 Location(s): Washington Offices(s): River Protection-Richland Operations Office

  3. CX-011611: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Mission Support Alliance Annual Categorical Exclusion for Electronic Equipment under 10 CFR 1021, Subpart D, Appendix B, B1.7 for Calendar Year 2014 CX(s) Applied: B1.7 Date: 12/02/2013 Location(s): Washington Offices(s): River Protection-Richland Operations Office

  4. CX-010094: Categorical Exclusion Determination

    Office of Energy Efficiency and Renewable Energy (EERE)

    Activity-Specific Categorical Exclusion for Deep Borehole Drilling, Sampling, and Characterization for the Proposed Natural Gas Pipeline from Pasco, Washington to the Hanford Site 200 East Area CX(s) Applied: B3.1 Date: 04/03/2013 Location(s): Washington Offices(s): River Protection-Richland Operations Office

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

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

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

  6. CX-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...

  7. 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.

  8. 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.

  9. Southwestern Power Administration Categorical Exclusion Determination...

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

    Categorical Exclusion(s) Applied: 10 CFR 1021 , Appendix B to Subpart D, Part B 1.33- Stormwater runoff control. For the complete DOE National Environmental Policy Act regulations ...

  10. 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...

  11. National Environmental Policy Act - Categorical Exclusions |...

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

    Categorical Exclusion - Site Characterization Activities PDF icon Portsmouth... of Polychlorinated Biphenyl Containing Materials PDF icon Portsmouth Categorical ...

  12. 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

  13. 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

  14. Categorical Exclusion Determinations | U.S. DOE Office of Science...

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

    Categorical Exclusion Determinations New Brunswick Laboratory (NBL) NBL Home About Programs Certified Reference Materials (CRMs) Training NEPA Documents Categorical Exclusion ...

  15. Hydrogen and FCV Implementation Scenarios, 2010- 2025

    Broader source: Energy.gov [DOE]

    Presentation by DOE's Sig Gronich at the 2010 - 2025 Scenario Analysis for Hydrogen Fuel Cell Vehicles and Infrastructure Meeting on August 9 - 10, 2006 in Washington, D.C.

  16. Sustainable Transport Illustrative Scenarios Tool | Open Energy...

    Open Energy Info (EERE)

    Scenarios Tool has been developed as a high-level calculator (not an in-depth model) to help provide indicative estimates of the possible impacts of policy on transport...

  17. NREL: Energy Analysis - BSM: Biomass Scenario Model

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

    BSM - Biomass Scenario Model Energy Analysis The Biomass Scenario Model (BSM) is a unique, carefully validated, state-of-the-art, dynamic model of the domestic biofuels supply chain. BSM explicitly focuses on policy issues, their feasibility, and potential side effects. It integrates resource availability, physical/technological/economic constraints, behavior, and policy. BSM uses a system dynamics simulation (not optimization) to model dynamic interactions across the supply chain. The model

  18. APPLICATION OF A CATEGORICAL EXCLUSION

    Energy Savers [EERE]

    optimization of electric power at the Portsmouth Gaseous Diffusion Facility to support the Decontamination and Demolition and remediation of the X-530 Switchyard while satisfying the existing electrical needs of site lessees and occupants. Number and Title of the Categorical Exclusion Applied: 10 CFR Part 1021, Appendix B to Subpart D. B4.6. Addition and Modification to Transmission Facilities B4.11. Electrical Power Substations and Interconnecting Facilities Determination: The proposed action

  19. APPLICATION OF A CATEGORICAL EXCLUSION

    Energy Savers [EERE]

    disposition of U. S. Department of Energy (DOE) surplus or excess personal property at the Portsmouth, Ohio and/or the Paducah Kentucky, Gaseous Diffusion Plants. "Personal property" means property of any kind, except real property and records of the Federal Government Number and Title of the Categorical Exclusion Applied: 10 CFR Part 1021, Appendix B to Subpart D. B1.24. Property Transfers Determination: The proposed action was reviewed and was determined to fit within the specified

  20. APPLICATION OF A CATEGORICAL EXCLUSION

    Energy Savers [EERE]

    an easement to the Pike County Board of Commissioner for the installation, operation and maintenance of a four inch pressurized sanitary sewer line on PORTS land along the existing roadway right-of-way to the existing X-6619 waste water treatment facility and executing an agreement to treat the sewage transported by this four inch pressurized sewer line at a permitted waste water treatment facility Number and Title of the Categorical Exclusions Applied: 10 CFR 1021, Appendix A & B to Subpart

  1. APPLICATION OF A CATEGORICAL EXCLUSION

    Energy Savers [EERE]

    6) involve the alteration of existing buildings, construction of small scale structures and the relocation of machinery, equipment and utilities at the Portsmouth Gaseous Diffusion Facility located in Piketon, Ohio and the Paducah Gaseous Diffusion Plant located in Paducah, Kentucky Number and Title of the Categorical Exclusions Applied: 10 CFR 1021, Appendix B to Subpart D. B1.15 Support Buildings B1.31 Installation or Relocation of Machinery and Equipment;

  2. Preliminary identification of potentially disruptive scenarios at the Greater Confinement Disposal Facility, Area 5 of the Nevada Test Site

    SciTech Connect (OSTI)

    Guzowski, R.V.; Newman, G.

    1993-12-01

    The Greater Confinement Disposal location is being evaluated to determine whether defense-generated transuranic waste buried at this location complies with the Containment Requirements established by the US Environmental Protection Agency. One step in determining compliance is to identify those combinations of events and processes (scenarios) that define possible future states of the disposal system for which performance assessments must be performed. An established scenario-development procedure was used to identify a comprehensive set of mutually exclusive scenarios. To assure completeness, 761 features, events, processes, and other listings (FEPS) were compiled from 11 references. This number was reduced to 205 primarily through the elimination of duplications. The 205 FEPs were screened based on site-specific, goal-specific, and regulatory criteria. Four events survived screening and were used in preliminary scenario development: (1) exploratory drilling penetrates a GCD borehole, (2) drilling of a withdrawal/injection well penetrates a GCD borehole, (3) subsidence occurs at the RWMS, and (4) irrigation occurs at the RWMS. A logic diagram was used to develop 16 scenarios from the four events. No screening of these scenarios was attempted at this time. Additional screening of the currently retained events and processes will be based on additional data and information from site-characterization activities. When screening of the events and processes is completed, a final set of scenarios will be developed and screened based on consequence and probability of occurrence.

  3. Forecasting the response of Earth's surface to future climatic and land use changes: A review of methods and research needs

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

    Pelletier, Jon D.; Murray, A. Brad; Pierce, Jennifer L.; Bierman, Paul R.; Breshears, David D.; Crosby, Benjamin T.; Ellis, Michael; Foufoula-Georgiou, Efi; Heimsath, Arjun M.; Houser, Chris; et al

    2015-07-14

    In the future, Earth will be warmer, precipitation events will be more extreme, global mean sea level will rise, and many arid and semiarid regions will be drier. Human modifications of landscapes will also occur at an accelerated rate as developed areas increase in size and population density. We now have gridded global forecasts, being continually improved, of the climatic and land use changes (C&LUC) that are likely to occur in the coming decades. However, besides a few exceptions, consensus forecasts do not exist for how these C&LUC will likely impact Earth-surface processes and hazards. In some cases, we havemore » the tools to forecast the geomorphic responses to likely future C&LUC. Fully exploiting these models and utilizing these tools will require close collaboration among Earth-surface scientists and Earth-system modelers. This paper assesses the state-of-the-art tools and data that are being used or could be used to forecast changes in the state of Earth's surface as a result of likely future C&LUC. We also propose strategies for filling key knowledge gaps, emphasizing where additional basic research and/or collaboration across disciplines are necessary. The main body of the paper addresses cross-cutting issues, including the importance of nonlinear/threshold-dominated interactions among topography, vegetation, and sediment transport, as well as the importance of alternate stable states and extreme, rare events for understanding and forecasting Earth-surface response to C&LUC. Five supplements delve into different scales or process zones (global-scale assessments and fluvial, aeolian, glacial/periglacial, and coastal process zones) in detail.« less

  4. Forecasting the response of Earth's surface to future climatic and land use changes: A review of methods and research needs

    SciTech Connect (OSTI)

    Pelletier, Jon D.; Murray, A. Brad; Pierce, Jennifer L.; Bierman, Paul R.; Breshears, David D.; Crosby, Benjamin T.; Ellis, Michael; Foufoula-Georgiou, Efi; Heimsath, Arjun M.; Houser, Chris; Lancaster, Nick; Marani, Marco; Merritts, Dorothy J.; Moore, Laura J.; Pederson, Joel L.; Poulos, Michael J.; Rittenour, Tammy M.; Rowland, Joel C.; Ruggiero, Peter; Ward, Dylan J.; Wickert, Andrew D.; Yager, Elowyn M.

    2015-07-14

    In the future, Earth will be warmer, precipitation events will be more extreme, global mean sea level will rise, and many arid and semiarid regions will be drier. Human modifications of landscapes will also occur at an accelerated rate as developed areas increase in size and population density. We now have gridded global forecasts, being continually improved, of the climatic and land use changes (C&LUC) that are likely to occur in the coming decades. However, besides a few exceptions, consensus forecasts do not exist for how these C&LUC will likely impact Earth-surface processes and hazards. In some cases, we have the tools to forecast the geomorphic responses to likely future C&LUC. Fully exploiting these models and utilizing these tools will require close collaboration among Earth-surface scientists and Earth-system modelers. This paper assesses the state-of-the-art tools and data that are being used or could be used to forecast changes in the state of Earth's surface as a result of likely future C&LUC. We also propose strategies for filling key knowledge gaps, emphasizing where additional basic research and/or collaboration across disciplines are necessary. The main body of the paper addresses cross-cutting issues, including the importance of nonlinear/threshold-dominated interactions among topography, vegetation, and sediment transport, as well as the importance of alternate stable states and extreme, rare events for understanding and forecasting Earth-surface response to C&LUC. Five supplements delve into different scales or process zones (global-scale assessments and fluvial, aeolian, glacial/periglacial, and coastal process zones) in detail.

  5. Land-use legacies and present fire regimes interact to mediate herbivory by altering the neighboring plant community.

    SciTech Connect (OSTI)

    Hahn, Philip G.; Orrock, John L.

    2015-04-01

    Past and present human activities, such as historic agriculture and fire suppression, are widespread and can create depauperate plant communities. Although many studies show that herbivory on focal plants depends on the density of herbivores or the composition of the surrounding plant community, it is unclear whether anthropogenic changes to plant communities alter herbivory. We tested the hypothesis that human activities that alter the plant community lead to subsequent changes in herbivory. At 20 sites distributed across 80 300 hectares, we conducted a field experiment that manipulated insect herbivore access (full exclosures and pseudo-exclosures) to four focal plant species in longleaf pine woodlands with diff erent land-use histories (post-agricultural sites or non-agricultural sites) and degrees of fi re frequency (frequent and infrequent). Plant cover, particularly herbaceous cover, was lower in post-agricultural and fi re suppressed woodlands. Density of the dominant insect herbivore at our site (grasshoppers) was positively related to plant cover. Herbivore access reduced biomass of the palatable forb Solidago odora in frequently burned post-agricultural sites and in infrequently burned non-agricultural woodlands and increased mortality of another forb (Pityopsis graminifolia ), but did not aff ect two other less palatable species ( Schizachyrium scoparium and Tephrosia virginiana ). Herbivory on S. odora exhibited a hump-shaped response to plant cover, with low herbivory at low and high levels of plant cover. Herbivore density had a weak negative effect on herbivory. These findings suggest that changes in plant cover related to past and present human activities can modify damage rates on focal S. odora plants by altering grasshopper foraging behavior rather than by altering local grasshopper density. The resulting changes in herbivory may have the potential to limit natural recovery or restoration eff orts by reducing the establishment or performance of palatable plant species.

  6. Development of An Empirical Water Quality Model for Stormwater Based on Watershed Land Use in Puget Sound

    SciTech Connect (OSTI)

    Cullinan, Valerie I.; May, Christopher W.; Brandenberger, Jill M.; Judd, Chaeli; Johnston, Robert K.

    2007-03-29

    The Sinclair and Dyes Inlet watershed is located on the west side of Puget Sound in Kitsap County, Washington, U.S.A. (Figure 1). The Puget Sound Naval Shipyard (PSNS), U.S Environmental Protection Agency (USEPA), the Washington State Department of Ecology (WA-DOE), Kitsap County, City of Bremerton, City of Bainbridge Island, City of Port Orchard, and the Suquamish Tribe have joined in a cooperative effort to evaluate water-quality conditions in the Sinclair-Dyes Inlet watershed and correct identified problems. A major focus of this project, known as Project ENVVEST, is to develop Water Clean-up (TMDL) Plans for constituents listed on the 303(d) list within the Sinclair and Dyes Inlet watershed. Segments within the Sinclair and Dyes Inlet watershed were listed on the State of Washington’s 1998 303(d) because of fecal coliform contamination in marine water, metals in sediment and fish tissue, and organics in sediment and fish tissue (WA-DOE 2003). Stormwater loading was identified by ENVVEST as one potential source of sediment contamination, which lacked sufficient data for a contaminant mass balance calculation for the watershed. This paper summarizes the development of an empirical model for estimating contaminant concentrations in all streams discharging into Sinclair and Dyes Inlets based on watershed land use, 18 storm events, and wet/dry season baseflow conditions between November 2002 and May 2005. Stream pollutant concentrations along with estimates for outfalls and surface runoff will be used in estimating the loading and ultimately in establishing a Water Cleanup Plan (TMDL) for the Sinclair-Dyes Inlet watershed.

  7. A technical review of urban land use - transportation models as tools for evaluating vehicle travel reduction strategies

    SciTech Connect (OSTI)

    Southworth, F.

    1995-07-01

    The continued growth of highway traffic in the United States has led to unwanted urban traffic congestion as well as to noticeable urban air quality problems. These problems include emissions covered by the 1990 Clean Air Act Amendments (CAAA) and 1991 Intermodal Surface Transportation Efficiency Act (ISTEA), as well as carbon dioxide and related {open_quotes}greenhouse gas{close_quotes} emissions. Urban travel also creates a major demand for imported oil. Therefore, for economic as well as environmental reasons, transportation planning agencies at both the state and metropolitan area level are focussing a good deal of attention on urban travel reduction policies. Much discussed policy instruments include those that encourage fewer trip starts, shorter trip distances, shifts to higher-occupancy vehicles or to nonvehicular modes, and shifts in the timing of trips from the more to the less congested periods of the day or week. Some analysts have concluded that in order to bring about sustainable reductions in urban traffic volumes, significant changes will be necessary in the way our households and businesses engage in daily travel. Such changes are likely to involve changes in the ways we organize and use traffic-generating and-attracting land within our urban areas. The purpose of this review is to evaluate the ability of current analytic methods and models to support both the evaluation and possibly the design of such vehicle travel reduction strategies, including those strategies involving the reorganization and use of urban land. The review is organized into three sections. Section 1 describes the nature of the problem we are trying to model, Section 2 reviews the state of the art in operational urban land use-transportation simulation models, and Section 3 provides a critical assessment of such models as useful urban transportation planning tools. A number of areas are identified where further model development or testing is required.

  8. CX-013831: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Experimental Investigation of Forced Convection and Natural Circulation Cooling of a GHIR Core under Normal Operation and Accident Scenarios - City College of New York CX(s) Applied: B3.6Date: 06/17/2015 Location(s): IdahoOffices(s): Nuclear Energy

  9. The Future of Scenarios: Issues in Developing New Climate Change Scenarios

    SciTech Connect (OSTI)

    Pitcher, Hugh M.

    2009-06-01

    Research, analysis and commnetary since the release of the Special Report on Emissions Scenarios has suggested a number of areas, e.g. rates of economic growth, downscaling and scenario likelihood, where additional research would make the next set of scenarios of greater use and increased credibility. This essary reviews the work on the areas mentioned above and makes suggestions about possible ways to improve the next set of climate scenarios, to be developed by the research community without a specific IPCC terms of reference to guide the work.

  10. Development of nonproliferation and assessment scenarios.

    SciTech Connect (OSTI)

    Finley, Melissa; Barnett, Natalie Beth

    2005-10-01

    The overall objective of the Nonproliferation and Assessments Scenario Development project is to create and analyze potential and plausible scenarios that would lead to an adversary's ability to acquire and use a biological weapon. The initial three months of funding was intended to be used to develop a scenario to demonstrate the efficacy of this analysis methodology; however, it was determined that a substantial amount of preliminary data collection would be needed before a proof of concept scenario could be developed. We have dedicated substantial effort to determine the acquisition pathways for Foot and Mouth Disease Virus, and similar processes will be applied to all pathogens of interest. We have developed a biosecurity assessments database to capture information on adversary skill locales, available skill sets in specific regions, pathogen sources and regulations involved in pathogen acquisition from legitimate facilities. FY06 funding, once released, will be dedicated to data collection on acquisition, production and dissemination requirements on a pathogen basis. Once pathogen data has been collected, scenarios will be developed and scored.

  11. Energy Transition Initiative Energy Scenario Tool | Department of Energy

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

    Energy Transition Initiative Energy Scenario Tool Energy Transition Initiative Energy Scenario Tool The ETI Energy Scenario Tool helps communities analyze different pathways to meet a given energy transition goal by modeling the levelized cost of electricity for custom, user-defined scenarios of supply and demand. Download the tool and user guide below. For step-by-step instructions on how to use the tool, watch the video. Package icon ETI Energy Scenario Tool PDF icon ETI Energy Scenario Tool

  12. 2010 - 2025 Scenario Analysis and Transition Strategies | Department of

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

    Energy - 2025 Scenario Analysis and Transition Strategies 2010 - 2025 Scenario Analysis and Transition Strategies Presentation by Sig Gronich at the 2010 - 2025 Scenario Analysis for Hydrogen Fuel Cell Vehicles and Infrastructure Meeting on August 9 - 10, 2006 in Washington, D.C. PDF icon gronich_scenario_analysis.pdf More Documents & Publications Hydrogen and FCV Implementation Scenarios, 2010 - 2025 Agenda for the 2010-2025 Scenario Analysis for Hydrogen Fuel Cell Vehicles and

  13. APPLICATION OF A CATEGORICAL EXCLUSION

    Energy Savers [EERE]

    the conveyance of four groundwater wells and well pumps from the Department of Energy Portsmouth Gaseous Diffusion Plant to the Village of Piketon. The wells, well pumps and related underground piping are located within the X-608 well field on the south bank of the Scioto River within the Village of Piketon, Ohio. Number and Title of the Categorical Exclusions Applied: 10 CFR Part 1021, Appendix B to Subpart D. B1.24 - Property Transfer. The regulatory requirements from 10 CFR Part 1021, Subpart

  14. APPLICATION OF A CATEGORICAL EXCLUSION

    Energy Savers [EERE]

    a permit to American Electric Power (AEP) for the installation and maintenance of an overhead 7.2kv electrical power line from an existing AEP power pole located on U S Department of Energy Portsmouth Gaseous Diffusion Plant (PORTS) property. Number and Title of the Categorical Exclusions Applied: 10 CFR 1021,B to Subpart D. B1.24 Property Transfer (easement) The regulatory requirements from 10 CFR Part 1021, Subpart D, Section 410(B) have been met by the proposed action. Determination: The

  15. 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

  16. CX-000787: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Generic Categorical Exclusion for Site-Wide Miscellaneous Installation and Maintenance ActivitiesCX(s) Applied: B1.3, B1.4, B1.5, B1.9, B1.11, B1.15, B1.16, B1.17, B1.22, B1.27, B1.31, B2.1, B2.2, B2.3, B2.5Date: 02/08/2010Location(s): IllinoisOffice(s): Science, Argonne Site Office

  17. Request For Information Regarding Categorical Exclusions: Guidelines |

    Energy Savers [EERE]

    Department of Energy Exclusions: Guidelines Request For Information Regarding Categorical Exclusions: Guidelines The U.S. Department of Energy (DOE) intends to update its National Environmental Policy Act (NEPA) categorical exclusions (CXs), and through this request for information (RFI), seeks input from interested individuals and organizations (interested parties) regarding existing, new, or revised CXs. PDF icon CXR-RFI_Guidelines-2009.pdf More Documents & Publications Request For

  18. 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

  19. Misrepresentation of the IPCC CO2 emission scenarios (Journal...

    Office of Scientific and Technical Information (OSTI)

    Journal Article: Misrepresentation of the IPCC CO2 emission scenarios Citation Details In-Document Search Title: ... with the IPCC SRES (Special Report on Emission Scenarios) ...

  20. SERA Scenarios of Early Market Fuel Cell Electric Vehicle Introduction...

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

    for Sustainable Energy, LLC. Presentation Overview 1. SERA model overview 2. Methodology Scenarios for hydrogen infrastructure development 3. Scenario example A "Hydrogen ...

  1. 2010 - 2025 Scenario Analysis Meeting Agenda for August 9 - 10...

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

    - 2025 Scenario Analysis Meeting Agenda for August 9 - 10, 2006 2010 - 2025 Scenario Analysis Meeting Agenda for August 9 - 10, 2006 This agenda provides information about the 2010 ...

  2. Improvements to Hydrogen Delivery Scenario Analysis Model (HDSAM...

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

    Improvements to Hydrogen Delivery Scenario Analysis Model (HDSAM) and Results Improvements to Hydrogen Delivery Scenario Analysis Model (HDSAM) and Results This presentation by ...

  3. Mitigation Action Plans and Scenarios (MAPS) | Open Energy Information

    Open Energy Info (EERE)

    Mitigation Action Plans and Scenarios (MAPS) (Redirected from CIFF-Chile-Mitigation Action Plans and Scenarios (MAPS)) Jump to: navigation, search Retrieved from "http:...

  4. 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)...

  5. 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

  6. 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):...

  7. 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 ...

  8. 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...

  9. 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) ...

  10. 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 ...

  11. 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 ...

  12. 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 ...

  13. 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: ...

  14. 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) ...

  15. 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 ...

  16. 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 ...

  17. 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 ...

  18. 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... ...

  19. 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 ...

  20. 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 ...

  1. 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):...

  2. 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): ...

  3. 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. ...

  4. 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. ...

  5. 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...

  6. 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 ...

  7. Categorical Exclusion 4497: Lithium Wet Chemistry Project

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

    Department of Energy Categorical Exclusion Detennination Form Proposed Action Tills: Lithium W@t Chemistry Project (4597) Program or Fild Oftke: Y-12 Site Office L&cationfs)...

  8. 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) ...

  9. 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 ...

  10. 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...

  11. 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...

  12. 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) ...

  13. 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 ...

  14. 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 ...

  15. 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 ...

  16. 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, ...

  17. FE Categorical Exclusions | Department of Energy

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

    28, 2011 CX-006916: Categorical Exclusion Determination Combining Space Geodesy, Seismology, and Geochemistry for Monitoring Verification and Accounting of Carbon Dioxide CX(s)...

  18. 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 ...

  19. 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 ...

  20. 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...

  1. 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 ...

  2. 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) ...

  3. 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 ...

  4. FE Categorical Exclusions | Department of Energy

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

    8, 2011 CX-006459: Categorical Exclusion Determination Analytical Physics - Transmission Electron Microscopy (TEM) CX(s) Applied: B3.6 Date: 08082011 Location(s): Albany, Oregon...

  5. 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) ...

  6. NREL: Technology Transfer - Nonexclusive and Exclusive Licenses

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

    sold utilizing the licensed technology. The fees and payments vary depending on the business model, market(s), and the number of patents licensed. Exclusive NREL grants an...

  7. FE Categorical Exclusions | Department of Energy

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

    Operations Office September 22, 2011 CX-006991: Categorical Exclusion Determination Prototyping and Testing a New Volumetric Curvature Tool for Modeling Reservoir Compartments...

  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. 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...

  12. 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 ...

  13. 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 ...

  14. 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: ...

  15. 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 ...

  16. 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, ...

  17. 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) ...

  18. 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). ...

  19. 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 ...

  20. 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: ...

  1. 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: ...

  2. 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 ...

  3. 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 ...

  4. CX-005991: Categorical Exclusion Determination | Department of...

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

    A prior categorical exclusion was awarded to this ground source heat pump (GSHP) systemproject on 972010. The location of the project has been changed to accommodate salvage of ...

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

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

    Program Date: 03252015 Location(s): Nationwide Office(s): Golden Field Office March 24, 2015 CX-100203 Categorical Exclusion Determination Solar Hot Water Project in Greenburgh,...

  6. 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: ...

  7. 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. ...

  8. Scenario Evaluation and Regionalization Analysis (SERA) Model

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

    Scenario Evaluation and Regionalization Analysis (SERA) Model (National Renewable Energy Laboratory) Objectives Determine optimal regional infrastructure development patterns for hydrogen and other transportation fuels, given resource availability and technology cost estimates. Geospatially and temporally resolve the expansion of production, transmission, and distribution infrastructure components. Identify and characterize niche markets and synergies related to refueling station placement and

  9. Application of satellite and GIS technologies for land-cover and land-use mapping at the rural-urban fringe - A case study

    SciTech Connect (OSTI)

    Treitz, P.M.; Howarth, P.J.; Gong, Peng )

    1992-04-01

    SPOT HRV multispectral and panchromatic data were recorded and coregistered for a portion of the rural-urban fringe of Toronto, Canada. A two-stage digital analysis algorithm incorporating a spectral-class frequency-based contextual classification of eight land-cover and land-use classes resulted in an overall Kappa coefficient of 82.2 percent for training-area data and a Kappa coefficient of 70.3 percent for test-area data. A matrix-overlay analysis was then performed within the geographic information system (GIS) to combine the land-cover and land-use classes generated from the SPOT digital classification with zoning information for the area. The map that was produced has an estimated interpretation accuracy of 78 percent. Global Positioning System (GPS) data provided a positional reference for new road networks. These networks, in addition to the new land-cover and land-use map derived from the SPOT HRV data, provide an up-to-date synthesis of change conditions in the area. 51 refs.

  10. Central exclusive production at RHIC

    SciTech Connect (OSTI)

    Adamczyk, Leszek; Guryn, W?odek; Turnau, Jacek

    2014-11-10

    The present status and future plans of the physics program of Central Exclusive Production (CEP) at RHIC are described. The measurements are based on the detection of the forward protons from the Double Pomeron Exchange (DPE) process in the Roman Pot system and of the recoil system of charged particles from the DPE process measured in the STAR experiments Time Projection Chamber (TPC). The data described here were taken using polarized proton-proton collisions at ps = 200 GeV. The preliminary spectra of two pion and four pion invariant mass reconstructed by STAR TPC in central region of pseudo-rapidity |#17;| < 1, are presented. Near future plans to take data with the current system at center-of-mass energy ps = 200 GeV and plans to upgrade the forward proton tagging sys- tem are presented. Also a possible addition of the Roman Pots to the sPHENIX detector is discussed.

  11. Central Exclusive Production at the Tevatron

    SciTech Connect (OSTI)

    Albrow, Michael

    2009-03-23

    In CDF we have observed several exclusive processes: {gamma}{gamma}{yields}e{sup +}e{sup -} and {mu}{sup +}{mu}{sup -}, {gamma}+IP{yields}J/{psi}, {psi}(2S) and IP+IP{yields}{chi}{sub c}. The cross sections agree with QED, HERA photoproduction data, and theoretical estimates of gg{yields}{chi}{sub c} with another gluon exchanged to screen the color. This observation of exclusive {chi}{sub c}, together with earlier observations of exclusive dijets and exclusive {gamma}{gamma} candidates, support some theoretical predictions for p+p{yields}p+SMH+p at the LHC. Exclusive dileptons offer the best means of precisely calibrating forward proton spectrometers.

  12. Central exclusive production at the Tevatron

    SciTech Connect (OSTI)

    Albrow, Michael G.; /Fermilab

    2008-12-01

    In CDF we have observed several exclusive processes: 2-photon {yields} e{sup +}e{sup -} and {mu}{sup +}{mu}{sup -}, photon+pomeron {yields} J/{psi} and {psi}(2S), and pomeron+pomeron {yields} {chi}{sub c}. The cross sections agree with QED, HERA photoproduction data, and theoretical estimates of gg {yields} {chi}{sub c} with another gluon exchanged to screen the color. This observation of exclusive {chi}{sub c}, together with earlier observations of exclusive dijets and exclusive 2-photon candidates, support some theoretical predictions for p+p {yields} p+H+p at the LHC. Exclusive dileptons offer the best means of precisely calibrating forward proton spectrometers.

  13. Rolling in the modulated reheating scenario

    SciTech Connect (OSTI)

    Kobayashi, Naoya; Kobayashi, Takeshi; Erickcek, Adrienne L. E-mail: takeshi@cita.utoronto.ca

    2014-01-01

    In the modulated reheating scenario, the field that drives inflation has a spatially varying decay rate, and the resulting inhomogeneous reheating process generates adiabatic perturbations. We examine the statistical properties of the density perturbations generated in this scenario. Unlike earlier analyses, we include the dynamics of the field that determines the inflaton decay rate. We show that the dynamics of this modulus field can significantly alter the amplitude of the power spectrum and the bispectrum, even if the modulus field has a simple potential and its effective mass is smaller than the Hubble rate. In some cases, the evolution of the modulus amplifies the non-Gaussianity of the perturbations to levels that are excluded by recent observations of the cosmic microwave background. Therefore, a proper treatment of the modulus dynamics is required to accurately calculate the statistical properties of the perturbations generated by modulated reheating.

  14. A new scenario framework for Climate Change Research: Scenario matrix architecture

    SciTech Connect (OSTI)

    Van Vuuren, Detlef; Kriegler, Elmar; O'Neill, Brian; Ebi, Kristie L.; Riahi, Keywan; Carter, Tim; Edmonds, James A.; Hallegatte, Stephane; Kram, Tom; Mathur, Ritu; Winkler, Harald

    2014-02-01

    In this paper, we present the scenario matrix architecture as part of the new scenario framework for climate change research. The matrix architecture focuses on a key question of current climate research, namely the identification of trade-offs and synergies (in terms of risks, costs and other consequences) of different adaptation and mitigation strategies. The framework has two main axes: 1) the level of forcing (as represented by the RCPs) and 2) different socio-economic reference pathways. The matrix can be used as a tool to guide new scenario development and analytical analysis. It can also be used as a heuristic tool for classifying new and existing scenarios for assessment. Key elements of the architecture, in particular the shared socio-economic reference pathways and the shared policy assumptions, are elaborated in other papers in this special issue.

  15. 2015 Standard Scenarios Annual Report: U.S. Electric Sector Scenario Exploration

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

    2015 Standard Scenarios Annual Report: U.S. Electric Sector Scenario Exploration Patrick Sullivan, Wesley Cole, Nate Blair, Eric Lantz, Venkat Krishnan, Trieu Mai, David Mulcahy, and Gian Porro National Renewable Energy Laboratory Technical Report NREL/TP-6A20-64072 July 2015 NREL is a national laboratory of the U.S. Department of Energy Office of Energy Efficiency & Renewable Energy Operated by the Alliance for Sustainable Energy, LLC This report is available at no cost from the National

  16. CP violation in heavy MSSM Higgs scenarios

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

    Carena, M.; Ellis, J.; Lee, J. S.; Pilaftsis, A.; Wagner, C. E. M.

    2016-02-18

    We introduce and explore new heavy Higgs scenarios in the Minimal Supersymmetric Standard Model (MSSM) with explicit CP violation, which have important phenomenological implications that may be testable at the LHC. For soft supersymmetry-breaking scales MS above a few TeV and a charged Higgs boson mass MH+ above a few hundred GeV, new physics effects including those from explicit CP violation decouple from the light Higgs boson sector. However, such effects can significantly alter the phenomenology of the heavy Higgs bosons while still being consistent with constraints from low-energy observables, for instance electric dipole moments. To consider scenarios with amore » charged Higgs boson much heavier than the Standard Model (SM) particles but much lighter than the supersymmetric particles, we revisit previous calculations of the MSSM Higgs sector. We compute the Higgs boson masses in the presence of CP violating phases, implementing improved matching and renormalization-group (RG) effects, as well as two-loop RG effects from the effective two-Higgs Doublet Model (2HDM) scale MH± to the scale MS. Here, we illustrate the possibility of non-decoupling CP-violating effects in the heavy Higgs sector using new benchmark scenarios named.« less

  17. Estimating Carbon Supply Curves for Global Forests and Other Land Uses April 2001, Discussion Paper 01-19

    SciTech Connect (OSTI)

    Sedjo, Roger; Sohngen, Brent; Mendelsohn, Robert

    2001-04-05

    This study develops cumulative carbon ''supply curves'' for global forests utilizing a dynamic timber supply model for sequestration of forest carbon. Because the period of concern is the next century, and particular time points within that century, the curves are not traditional Marshallian supply curves or steady-state supply curves. Rather, the focus is on cumulative carbon cost curves (quasi-supply curves) at various points in time over the next 100 years. The research estimates a number of long-term, cumulative, carbon quasi-supply curves under different price scenarios and for different time periods. The curves trace out the relationship between an intertemporal price path for carbon, as given by carbon shadow prices, and the cumulative carbon sequestered from the initiation of the shadow prices, set at 2000, to a selected future year (2010, 2050, 2100). The timber supply model demonstrates that cumulative carbon quasi-supply curves that can be generated through forestry significantly depend on initial carbon prices and expectations regarding the time profile of future carbon prices. Furthermore, long-run quasi-supply curves generated from a constant price will have somewhat different characteristics from quasi-supply curves generated with an expectation of rising carbon prices through time.The ?least-cost? curves vary the time periods under consideration and the time profile of carbon prices. The quasi-supply curves suggest that a policy of gradually increasing carbon prices will generate the least costly supply curves in the shorter periods of a decade or so. Over longer periods of time, however, such as 50 or 100 years, these advantages appear to dissipate.

  18. Categorical Exclusion Determinations: B5.22 | Department of Energy

    Energy Savers [EERE]

    stations (such as for compressed natural gas, hydrogen, ethanol and other ... Covered actions would be in accordance with applicable requirements (such as local land use and ...

  19. Categorical Exclusion Determinations: A8 | Department of Energy

    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 ...

  20. Categorical Exclusion Determinations: B3.2 | Department of Energy

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

    December 23, 2014 CX-013312: Categorical Exclusion Determination Aerial Photography and ... April 4, 2013 CX-010350: Categorical Exclusion Determination Aerial Photography Activity ...

  1. Categorical Exclusion Determinations: B3.11 | Department of Energy

    Energy Savers [EERE]

    ... April 16, 2015 CX-013666: Categorical Exclusion Determination Ground-Based Laser Field ... December 1, 2014 CX-100123 Categorical Exclusion Determination High Power Laser Tool and ...

  2. Categorical Exclusion Determinations: B5.20 | Department of Energy

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

    February 25, 2016 CX-100497 Categorical Exclusion Determination Placer County Biomass ... January 22, 2016 CX-100454 Categorical Exclusion Determination State Energy Program - ...

  3. Categorical Exclusion Determinations: Western Area PowerAdministratio...

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

    January 5, 2015 CX-013361: Categorical Exclusion Determination Medicine Bow Substation ... August 29, 2014 CX-012768: Categorical Exclusion Determination Poncha Substation Access ...

  4. Categorical Exclusion Determinations: B5.15 | Department of Energy

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

    ... June 3, 2015 CX-100267 Categorical Exclusion Determination Next Generation Logistics ... April 6, 2015 CX-100213 Categorical Exclusion Determination St. Petersburg College Green ...

  5. Categorical Exclusion Determinations: Western Area PowerAdministratio...

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

    Categorical Exclusion Determinations: Western Area Power Administration-Upper Great Plains Region Categorical Exclusion Determinations issued by Western Area Power Administration-U...

  6. Categorical Exclusion Determinations: Western Area PowerAdministratio...

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

    Categorical Exclusion Determinations: Western Area Power Administration-Sierra Nevada Region Categorical Exclusion Determinations issued by Western Area Power Administration-Sierra ...

  7. Categorical Exclusion Determinations: Western Area PowerAdministratio...

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

    Categorical Exclusion Determinations: Western Area Power Administration-Desert Southwest Region Categorical Exclusion Determinations issued by Western Area Power Administration-Des...

  8. Categorical Exclusion Determinations: B1.10 | Department of Energy

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

    0 Categorical Exclusion Determinations: B1.10 Existing Regulations B1.10: Onsite storage ... Previous Regulations Categorical Exclusion Determinations dated before November 14th, 2011 ...

  9. Categorical Exclusion Determinations: NNSA-Service Center | Department...

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

    Service Center Categorical Exclusion Determinations: NNSA-Service Center Categorical Exclusion Determinations issued by NNSA-Service Center. DOCUMENTS AVAILABLE FOR DOWNLOAD May 9, ...

  10. Categorical Exclusion Determinations: A3 | Department of Energy

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

    A3 Categorical Exclusion Determinations: A3 Existing Regulations A3: Certain actions by ... Previous Regulations Categorical Exclusion Determinations dated before November 14th, 2011 ...

  11. Categorical Exclusion Determinations: B6.4 | Department of Energy

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

    4 Categorical Exclusion Determinations: B6.4 Existing Regulations B6.4: Facilities for ... Previous Regulations Categorical Exclusion Determinations dated before November 14th, 2011 ...

  12. Rapidity gap survival in central exclusive diffraction: Dynamical...

    Office of Scientific and Technical Information (OSTI)

    Rapidity gap survival in central exclusive diffraction: Dynamical mechanisms and uncertainties Citation Details In-Document Search Title: Rapidity gap survival in central exclusive ...

  13. Central exclusive production at RHIC

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

    Adamczyk, Leszek; Guryn, Włodek; Turnau, Jacek

    2014-11-10

    The present status and future plans of the physics program of Central Exclusive Production (CEP) at RHIC are described. The measurements are based on the detection of the forward protons from the Double Pomeron Exchange (DPE) process in the Roman Pot system and of the recoil system of charged particles from the DPE process measured in the STAR experiment’s Time Projection Chamber (TPC). The data described here were taken using polarized proton-proton collisions at ps = 200 GeV. The preliminary spectra of two pion and four pion invariant mass reconstructed by STAR TPC in central region of pseudo-rapidity |#17;|

  14. Underground infrastructure damage for a Chicago scenario

    SciTech Connect (OSTI)

    Dey, Thomas N; Bos, Rabdall J

    2011-01-25

    Estimating effects due to an urban IND (improvised nuclear device) on underground structures and underground utilities is a challenging task. Nuclear effects tests performed at the Nevada Test Site (NTS) during the era of nuclear weapons testing provides much information on how underground military structures respond. Transferring this knowledge to answer questions about the urban civilian environment is needed to help plan responses to IND scenarios. Explosions just above the ground surface can only couple a small fraction of the blast energy into an underground shock. The various forms of nuclear radiation have limited penetration into the ground. While the shock transmitted into the ground carries only a small fraction of the blast energy, peak stresses are generally higher and peak ground displacement is lower than in the air blast. While underground military structures are often designed to resist stresses substantially higher than due to the overlying rocks and soils (overburden), civilian structures such as subways and tunnels would generally only need to resist overburden conditions with a suitable safety factor. Just as we expect the buildings themselves to channel and shield air blast above ground, basements and other underground openings as well as changes of geology will channel and shield the underground shock wave. While a weaker shock is expected in an urban environment, small displacements on very close-by faults, and more likely, soils being displaced past building foundations where utility lines enter could readily damaged or disable these services. Immediately near an explosion, the blast can 'liquefy' a saturated soil creating a quicksand-like condition for a period of time. We extrapolate the nuclear effects experience to a Chicago-based scenario. We consider the TARP (Tunnel and Reservoir Project) and subway system and the underground lifeline (electric, gas, water, etc) system and provide guidance for planning this scenario.

  15. 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 ...

  16. 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 ...

  17. 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 ...

  18. 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 ...

  19. 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...

  20. 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 ...

  1. 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 ...

  2. 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): ...

  3. 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. ...

  4. 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...

  5. 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...

  6. 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...

  7. 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 ...

  8. 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): ...

  9. 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): ...

  10. 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 ...

  11. 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 ...

  12. 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, ...

  13. 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 ...

  14. 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...

  15. 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...

  16. 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...

  17. 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 ...

  18. 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...

  19. 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):...

  20. 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): ...

  1. 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 ...

  2. 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 ...

  3. Property Tax Exclusion for Solar Energy Systems

    Broader source: Energy.gov [DOE]

    Section 73 of the California Revenue and Taxation Code allows a property tax exclusion for certain types of solar energy systems installed between January 1, 1999, and December 31, 2016. This sec...

  4. FE Categorical Exclusions | Department of Energy

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

    Categorical Exclusion Determination Coal-Based Integrated Gasification Fuel Cell Project: Phase II CX(s) Applied: B3.6 Date: 09162011 Location(s): South Windsor, Connecticut...

  5. 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...

  6. 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 ...

  7. 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...

  8. 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) ...

  9. 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 ...

  10. 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): ...

  11. 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 ...

  12. 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...

  13. 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...

  14. 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 ...

  15. 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 ...

  16. 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 ...

  17. 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, ...

  18. 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: ...

  19. 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 ...

  20. 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 ...

  1. 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 ...

  2. 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 ...

  3. 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 ...

  4. FE Categorical Exclusions | Department of Energy

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

    23, 2011 CX-006518: Categorical Exclusion Determination Fabrication Lab CX(s) Applied: B3.6 Date: 08232011 Location(s): Albany, Oregon Office(s): Fossil Energy, National Energy...

  5. 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 ...

  6. 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 ...

  7. 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 ...

  8. 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...

  9. 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): ...

  10. CX-011991: Categorical Exclusion Determination | Department of...

    Office of Environmental Management (EM)

    CX-011991: Categorical Exclusion Determination SoloPower, Inc. Electrodeposition-based Solar Panel Manufacturing Facilities CX(s) Applied: B1.31 Date: 08152011 Location(s): ...

  11. CX-010792: Categorical Exclusion Determination | Department of...

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

    CX-010792: Categorical Exclusion Determination Gulf of Mexico Miocene Carbon Dioxide (CO2) Site Characterization Mega Transect - Task 8 CX(s) Applied: A1, A9, A11 Date: 08142013 ...

  12. CX-003720: Categorical Exclusion Determination | Department of...

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

    Categorical Exclusion Determination Recovery Act - Los Angeles Department of Water and Power Smart Grid Regional Demonstration Project CX(s) Applied: A9, A11, B3.6, B4.4, B5.1...

  13. Categorical Exclusion Determinations: Maine | Department of Energy

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

    ... November 30, 2011 CX-007739: Categorical Exclusion Determination University of Colorado - Boulder - Wafer-Level Sub-Module Integrated DCDC Converter CX(s) Applied: A9, B3.6 Date: ...

  14. CX-008824: Categorical Exclusion Determination | Department of...

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

    CX-008824: Categorical Exclusion Determination X-608 Well Field Transfer CX(s) Applied: ... The wells, well pumps and related underground piping are located within the X-608 well ...

  15. CX-006213: Categorical Exclusion Determination | Department of...

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

    CX-006213: Categorical Exclusion Determination Recovery Act: Conducting a 3D Converted Shear Wave Project to Reduce Exploration Risk at Wister, California CX(s) Applied: A9, B3.1, ...

  16. 2015 Standard Scenarios Annual Report: U.S. Electric Sector Scenario Exploration

    SciTech Connect (OSTI)

    Sullivan, Patrick; Cole, Wesley; Blair, Nate; Lantz, Eric; Krishnan, Venkat; Mai, Trieu; Mulcahy, David; Porro, Gian

    2015-07-16

    This report is one of several products resulting from an initial effort to provide a consistent set of technology cost and performance data and to define a conceptual and consistent scenario framework that can be used in the National Renewable Energy Laboratory’s (NREL’s) future analyses. The long-term objective of this effort is to identify a range of possible futures of the U.S. electricity sector in which to consider specific energy system issues through (1) defining a set of prospective scenarios that bound ranges of key technology, market, and policy assumptions and (2) assessing these scenarios in NREL’s market models to understand the range of resulting outcomes, including energy technology deployment and production, energy prices, and carbon dioxide (CO2) emissions.

  17. Biomass Scenario Model Documentation: Data and References

    SciTech Connect (OSTI)

    Lin, Y.; Newes, E.; Bush, B.; Peterson, S.; Stright, D.

    2013-05-01

    The Biomass Scenario Model (BSM) is a system dynamics model that represents the entire biomass-to-biofuels supply chain, from feedstock to fuel use. The BSM is a complex model that has been used for extensive analyses; the model and its results can be better understood if input data used for initialization and calibration are well-characterized. It has been carefully validated and calibrated against the available data, with data gaps filled in using expert opinion and internally consistent assumed values. Most of the main data sources that feed into the model are recognized as baseline values by the industry. This report documents data sources and references in Version 2 of the BSM (BSM2), which only contains the ethanol pathway, although subsequent versions of the BSM contain multiple conversion pathways. The BSM2 contains over 12,000 total input values, with 506 distinct variables. Many of the variables are opportunities for the user to define scenarios, while others are simply used to initialize a stock, such as the initial number of biorefineries. However, around 35% of the distinct variables are defined by external sources, such as models or reports. The focus of this report is to provide insight into which sources are most influential in each area of the supply chain.

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

    Broader source: Energy.gov [DOE]

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

  19. Categorical Exclusion Determinations: Native American and Alaskan Native Area

    Broader source: Energy.gov [DOE]

    Categorical Exclusion Determinations issued for actions in Native American and/or Alaskan Native areas.

  20. Future climate change under RCP emission scenarios with GISS...

    Office of Scientific and Technical Information (OSTI)

    Future climate change under RCP emission scenarios with GISS ModelE2 Citation Details In-Document Search Title: Future climate change under RCP emission scenarios with GISS ModelE2 ...

  1. An Experiment on Graph Analysis Methodologies for Scenarios

    SciTech Connect (OSTI)

    Brothers, Alan J.; Whitney, Paul D.; Wolf, Katherine E.; Kuchar, Olga A.; Chin, George

    2005-09-30

    Visual graph representations are increasingly used to represent, display, and explore scenarios and the structure of organizations. The graph representations of scenarios are readily understood, and commercial software is available to create and manage these representations. The purpose of the research presented in this paper is to explore whether these graph representations support quantitative assessments of the underlying scenarios. The underlying structure of the scenarios is the information that is being targeted in the experiment and the extent to which the scenarios are similar in content. An experiment was designed that incorporated both the contents of the scenarios and analysts’ graph representations of the scenarios. The scenarios’ content was represented graphically by analysts, and both the structure and the semantics of the graph representation were attempted to be used to understand the content. The structure information was not found to be discriminating for the content of the scenarios in this experiment; but, the semantic information was discriminating.

  2. NREL: Energy Analysis - Annual Technology Baseline and Standard Scenarios

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

    Legacy Versions Annual Technology Baseline and Standard Scenarios - Legacy Versions This section contains earlier versions of NREL's Annual Technology Baseline and Standard Scenarios products. Looking for the latest versions of the ATB? Spring 2015 Draft Versions Annual Technology Baseline (ATB) Spreadsheet ATB Summary Presentation Standard Scenarios Annual Report

  3. U.S. Department of Energy Categorical Exclusion Determination Form

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

    Categorical Exclusion Determination Form Proposed Action Title: Program or Field Office: Location(s) (City/County/State): Proposed Action Description: Categorical Exclusion(s) Applied: For the complete DOE National Environmental Policy Act regulations regarding categorical exclusions, including the full text of each categorical exclusion, see Subpart D of 10 CFR Part 1021. Regulatory Requirements in 10 CFR 1021.410(b): (See full text in regulation) The proposal fits within a class of actions

  4. U.S. Department of Energy Categorical Exclusion Determination Form

    National Nuclear Security Administration (NNSA)

    Categorical Exclusion Determination Form Proposed Action Title: Program or Field Office: Location(s) (City/County/State): Proposed Action Description: Categorical Exclusion(s) Applied: For the complete DOE National Environmental Policy Act regulations regarding categorical exclusions, including the full text of each categorical exclusion, see Subpart D of 10 CFR Part 1021. Regulatory Requirements in 10 CFR 1021.410(b): (See full text in regulation) The proposal fits within a class of actions

  5. Categorical Exclusion (CX) Determination Form | Department of Energy

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

    Categorical Exclusion (CX) Determination Form Categorical Exclusion (CX) Determination Form The NEPA Office revised a model categorical exclusion determination form for optional use by NEPA Compliance Officers. The fillable pdf form uses pull-down menus to list the categorical exclusions invoked and contains model regulatory requirements text. It also features an electronic means to submit categorical exclusion determinations for web posting. PDF icon CXD-Form-2011_Ver2.pdf More Documents &

  6. U.S. Department of Energy Categorical Exclusion Determination Form

    Energy Savers [EERE]

    (This form will be locked for editing upon signature) U.S. Department of Energy Categorical Exclusion Determination Form Proposed Action Title: Program or Field Office: Location(s) (City/County/State): Proposed Action Description: Categorical Exclusion(s) Applied: For the complete DOE National Environmental Policy Act regulations regarding categorical exclusions, including the full text of each categorical exclusion, see Subpart D of 10 CFR Part 1021. Regulatory Requirements in 10 CFR

  7. National Nuclear Security Administration Categorical Exclusion Determination Form

    National Nuclear Security Administration (NNSA)

    National Nuclear Security Administration Categorical Exclusion Determination Form NEPA ID#: Proposed Action Title: Program or Field Office: Location(s) (City/County/State): Proposed Action Description: Categorical Exclusion(s) Applied: For the complete DOE National Environmental Policy Act regulations regarding categorical exclusions, including the full text of each categorical exclusion, see Subpart D of 10 CFR Part 1021. Regulatory Requirements in 10 CFR 1021.410(b): (See full text in

  8. HIPPS concepts for a subsea field scenario

    SciTech Connect (OSTI)

    Lund, B.F.; Onshus, T.; Aaroe, R.

    1995-12-31

    This paper is based on a feasibility study investigating the possibilities of using a HIPPS (High Integrity Pressure Protection System) to protect a subsea pipeline which is not rated for full wellhead shut-in pressure. Several different HIPPS configurations have been evaluated with respect to safety, production regularity and various qualitative criteria for use in a specific subsea field scenario containing six wells. A preliminary review of the feasibility of current technology for HIPPS applications has been made. The conclusion is that a subsea HIPPS can be designed with satisfactory safety performance based on current technology. The paper also covers requirements posed to the HIPPS equipment as well as general requirements for process design and operation when a pipeline not rated for full well shut-in pressure is present.

  9. Overview of the Biomass Scenario Model

    SciTech Connect (OSTI)

    Peterson, Steve

    2015-09-01

    This report describes the structure of the October 2012 version of the Biomass Scenario Model (BSM) in considerable detail, oriented towards readers with a background or interest in the underlying modeling structures. Readers seeking a less-detailed summary of the BSM may refer to Peterson (2013). BSM aims to provide a framework for exploring the potential contribution of biofuel technologies to the transportation energy supply for the United States over the next several decades. The model has evolved significantly from the prototype developed as part of the Role of Biomass in America" tm s Energy Future (RBAEF) project. BSM represents the supply chain surrounding conversion pathways for multiple fuel products, including ethanol, butanol, and infrastructure-compatible biofuels such as diesel, jet fuel, and gasoline.

  10. Archaeology in the Kilauea East Rift Zone: Part 1, Land-use model and research design, Kapoho, Kamaili and Kilauea Geothermal Subzones, Puna District, Hawaii Island

    SciTech Connect (OSTI)

    Burtchard, G.C.; Moblo, P.

    1994-07-01

    The Puna Geothermal Resource Subzones (GRS) project area encompasses approximately 22,000 acres centered on the Kilauea East Rift Zone in Puna District, Hawaii Island. The area is divided into three subzones proposed for geothermal power development -- Kilauea Middle East Rift, Kamaili and Kapoho GRS. Throughout the time of human occupation, eruptive episodes along the rift have maintained a dynamic landscape. Periodic volcanic events, for example, have changed the coastline configuration, altered patterns of agriculturally suitable sediments, and created an assortment of periodically active, periodically quiescent, volcanic hazards. Because of the active character of the rift zone, then, the area`s occupants have always been obliged to organize their use of the landscape to accommodate a dynamic mosaic of lava flow types and ages. While the specific configuration of settlements and agricultural areas necessarily changed in response to volcanic events, it is possible to anticipate general patterns in the manner in which populations used the landscape through time. This research design offers a model that predicts the spatial results of long-term land-use patterns and relates them to the character of the archaeological record of that use. In essence, the environmental/land-use model developed here predicts that highest population levels, and hence the greatest abundance and complexity of identifiable prehistoric remains, tended to cluster near the coast at places that maximized access to productive fisheries and agricultural soils. With the possible exception of a few inland settlements, the density of archaeological remains expected to decrease with distance from the coastline. The pattern is generally supported in the regions existing ethnohistoric and archaeological record.

  11. The role of plant-soil feedbacks and land-use legacies in restoration of a temperate steppe in northern China

    SciTech Connect (OSTI)

    Jiang, Lili; Han, Xingguo; Zhang, Guangming; Kardol, Paul

    2010-11-01

    Plant soil feedbacks affect plant performance and plant community dynamics; however, little is known about their role in ecological restoration. Here, we studied plant soil feedbacks in restoration of steppe vegetation after agricultural disturbance in northern China. First, we analyzed abiotic and biotic soil properties under mono-dominant plant patches in an old-field restoration site and in a target steppe site. Second, we tested plant soil feedbacks by growing plant species from these two sites on soils from con- and heterospecific origin. Soil properties generally did not differ between the old-field site and steppe site, but there were significant differences among mono-dominant plant patches within the sites. While soil species origin (i.e., the plant species beneath which the soil was collected) affected biomass of individual plant species in the feedback experiment, species-level plant soil feedbacks were neutral . Soil site origin (old-field, steppe) significantly affected biomass of old-field and steppe species. For example, old-field species had higher biomass in old-field soils than in steppe soils, indicating a positive land-use legacy. However, soil site origin effects depended on the plant species beneath which the soils were collected. The predictive value of abiotic and biotic soil properties in explaining plant biomass differed between and within groups of old-field and steppe species. We conclude that the occurrence of positive land-use legacies for old-field species may retard successional replacement of old-field species by steppe species. However, high levels of idiosyncrasy in responses of old-field and steppe plant species to con- and heterospecific soils indicate interspecific variation in the extent to which soil legacies and plant soil feedbacks control successional species replacements in Chinese steppe ecosystems.

  12. Undulator Hall Air Temperature Fault Scenarios

    SciTech Connect (OSTI)

    Sevilla, J.; Welch, J.; ,

    2010-11-17

    Recent experience indicates that the LCLS undulator segments must not, at any time following tuning, be allowed to change temperature by more than about {+-}2.5 C or the magnetic center will irreversibly shift outside of acceptable tolerances. This vulnerability raises a concern that under fault conditions the ambient temperature in the Undulator Hall might go outside of the safe range and potentially could require removal and retuning of all the segments. In this note we estimate changes that can be expected in the Undulator Hall air temperature for three fault scenarios: (1) System-wide power failure; (2) Heating Ventilation and Air Conditioning (HVAC) system shutdown; and (3) HVAC system temperature regulation fault. We find that for either a system-wide power failure or an HVAC system shutdown (with the technical equipment left on), the short-term temperature changes of the air would be modest due to the ability of the walls and floor to act as a heat ballast. No action would be needed to protect the undulator system in the event of a system-wide power failure. Some action to adjust the heat balance, in the case of the HVAC power failure with the equipment left on, might be desirable but is not required. On the other hand, a temperature regulation failure of the HVAC system can quickly cause large excursions in air temperature and prompt action would be required to avoid damage to the undulator system.

  13. Biomass Scenario Model Documentation: Data and References (Technical

    Office of Scientific and Technical Information (OSTI)

    Report) | SciTech Connect Technical Report: Biomass Scenario Model Documentation: Data and References Citation Details In-Document Search Title: Biomass Scenario Model Documentation: Data and References The Biomass Scenario Model (BSM) is a system dynamics model that represents the entire biomass-to-biofuels supply chain, from feedstock to fuel use. The BSM is a complex model that has been used for extensive analyses; the model and its results can be better understood if input data used for

  14. Scenario-Driven Training | Y-12 National Security Complex

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

    Scenario-Driven Training Scenario-Driven Training An initial entry team member assesses the overall hazards in a clandestine lab. Y-12's Nuclear and Radiological Field Training Center equips military units, as well as federal, state and local emergency response agencies with the hands-on skills and knowledge they need to safely detect, safeguard and handle real nuclear and radiological sources. To test their skills, Y-12 has developed training exercises that include the following scenarios:

  15. Toward Interactive Scenario Analysis and Exploration

    SciTech Connect (OSTI)

    Gayle, Thomas R.; Summers, Kenneth Lee; Jungels, John; Oppel III, Fred J.

    2015-01-01

    As Modeling and Simulation (M&S) tools have matured, their applicability and importance have increased across many national security challenges. In particular, they provide a way to test how something may behave without the need to do real world testing. However, current and future changes across several factors including capabilities, policy, and funding are driving a need for rapid response or evaluation in ways that many M&S tools cannot address. Issues around large data, computational requirements, delivery mechanisms, and analyst involvement already exist and pose significant challenges. Furthermore, rising expectations, rising input complexity, and increasing depth of analysis will only increase the difficulty of these challenges. In this study we examine whether innovations in M&S software coupled with advances in ''cloud'' computing and ''big-data'' methodologies can overcome many of these challenges. In particular, we propose a simple, horizontally-scalable distributed computing environment that could provide the foundation (i.e. ''cloud'') for next-generation M&S-based applications based on the notion of ''parallel multi-simulation''. In our context, the goal of parallel multi- simulation is to consider as many simultaneous paths of execution as possible. Therefore, with sufficient resources, the complexity is dominated by the cost of single scenario runs as opposed to the number of runs required. We show the feasibility of this architecture through a stable prototype implementation coupled with the Umbra Simulation Framework [6]. Finally, we highlight the utility through multiple novel analysis tools and by showing the performance improvement compared to existing tools.

  16. Advanced ST Plasma Scenario Simulations for NSTX

    SciTech Connect (OSTI)

    C.E. Kessel; E.J. Synakowski; D.A. Gates; R.W. Harvey; S.M. Kaye; T.K. Mau; J. Menard; C.K. Phillips; G. Taylor; R. Wilson; the NSTX Research Team

    2004-10-28

    Integrated scenario simulations are done for NSTX [National Spherical Torus Experiment] that address four primary milestones for developing advanced ST configurations: high {beta} and high {beta}{sub N} inductive discharges to study all aspects of ST physics in the high-beta regime; non-inductively sustained discharges for flattop times greater than the skin time to study the various current-drive techniques; non-inductively sustained discharges at high {beta} for flattop times much greater than a skin time which provides the integrated advanced ST target for NSTX; and non-solenoidal start-up and plasma current ramp-up. The simulations done here use the Tokamak Simulation Code (TSC) and are based on a discharge 109070. TRANSP analysis of the discharge provided the thermal diffusivities for electrons and ions, the neutral-beam (NB) deposition profile, and other characteristics. CURRAY is used to calculate the High Harmonic Fast Wave (HHFW) heating depositions and current drive. GENRAY/CQL3D is used to establish the heating and CD [current drive] deposition profiles for electron Bernstein waves (EBW). Analysis of the ideal-MHD stability is done with JSOLVER, BALMSC, and PEST2. The simulations indicate that the integrated advanced ST plasma is reachable, obtaining stable plasmas with {beta} {approx} 40% at {beta}{sub N}'s of 7.7-9, I{sub P} = 1.0 MA, and B{sub T} = 0.35 T. The plasma is 100% non-inductive and has a flattop of 4 skin times. The resulting global energy confinement corresponds to a multiplier of H{sub 98(y,2)} = 1.5. The simulations have demonstrated the importance of HHFW heating and CD, EBW off-axis CD, strong plasma shaping, density control, and early heating/H-mode transition for producing and optimizing these plasma configurations.

  17. Climate Change Mitigation: An Analysis of Advanced Technology Scenarios

    SciTech Connect (OSTI)

    Clarke, Leon E.; Wise, Marshall A.; Placet, Marylynn; Izaurralde, R Cesar; Lurz, Joshua P.; Kim, Son H.; Smith, Steven J.; Thomson, Allison M.

    2006-09-18

    This report documents a scenario analysis that explores three advanced technology pathways toward climate stabilization using the MiniCAM model.

  18. Ethiopia-National Greenhouse Gas Emissions Baseline Scenarios...

    Open Energy Info (EERE)

    National Greenhouse Gas Emissions Baseline Scenarios: Learning from Experiences in Developing Countries Jump to: navigation, search Name Ethiopia-National Greenhouse Gas Emissions...

  19. NREL: Energy Analysis - 2015 Standard Scenarios Annual Report...

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

    energy technology deployment and production, energy prices, and CO2 emissions. NREL intends to consistently apply this scenario framework in its ongoing electric sector ...

  20. NREL's Enhanced Scenario Framework for Electricity Sector Analysis...

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

    NREL's Enhanced Scenario Framework for Electricity Sector Analysis Provides Cost, ... October 19, 2015 Projections of potential energy futures are highly dependent on the ...