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Sample records for dlr gef geospatial

  1. Oncor DLR case study

    Energy Savers [EERE]

    Study: Oncor's Dynamic Line Rating (DLR) Project Page 1 Oncor's Pioneering Transmission Dynamic Line Rating (DLR) Demonstration Lays Foundation for Follow-On Deployments 1. Summary Oncor Electric Delivery Company (Oncor) successfully demonstrated a fully integrated dynamic line rating (DLR) system in its project funded under the U.S. Department of Energy's (DOE's) Smart Grid Demonstration Program (SGDP). 1 The DLR system monitored the real-time capacities of eight transmission lines for use in

  2. German Aerospace Center (DLR) | Open Energy Information

    Open Energy Info (EERE)

    German Aerospace Center (DLR) Name: German Aerospace Center (DLR) Place: Cologne, Germany Number of Employees: 5001-10,000 Website: www.dlr.deendesktopdefault.a Coordinates:...

  3. German Aerospace Center DLR | Open Energy Information

    Open Energy Info (EERE)

    Aerospace Center DLR Jump to: navigation, search Name: German Aerospace Center (DLR) Place: Stuttgart, Germany Zip: 70569 Product: Stuttgart-based, agency that manages the...

  4. China-DLR Resource Assessments | Open Energy Information

    Open Energy Info (EERE)

    DLR Resource Assessments Jump to: navigation, search Name China-DLR Resource Assessments AgencyCompany Organization German Aerospace Center (DLR) Sector Energy Focus Area...

  5. Turkmenistan-GEF Projects | Open Energy Information

    Open Energy Info (EERE)

    Topics Background analysis Website http:www.gefonline.orgproje Country Turkmenistan Central Asia References GEF Climate Projects1 For a list of GEF climate projects in...

  6. Kenya-GEF Projects | Open Energy Information

    Open Energy Info (EERE)

    database1 GEF Climate Projects in Kenya 1780 Kenya Joint Geophysical Imaging (JGI) Methodology for Geothermal Reservoir Assessment Climate Change UNEP Medium Size Project, GEF...

  7. ARM - Campaign Instrument - linet-dlr

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

    govInstrumentslinet-dlr Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Campaign Instrument : DLR Lightning Detection Network (LINET-DLR) Instrument Categories Derived Quantities and Models Campaigns Tropical Warm Pool - International Cloud Experiment (TWP-ICE) [ Download Data ] Tropical Western Pacific, 2006.01.21 - 2006.02.13 Primary Measurements Taken The following measurements are those considered scientifically relevant. Refer to the

  8. Kenya-DLR Cooperation | Open Energy Information

    Open Energy Info (EERE)

    2001 to 2004 the German Aerospace Center (DLR) worked with Kenya on solar resource and GIS analysis as part of UNEP's Solar and Wind Energy Resource Assessment (SWERA) Programme....

  9. geospatial | OpenEI Community

    Open Energy Info (EERE)

    geospatial Home Geospatial Description: Discuss and explore geospatial data available on OpenEI. geospatial GIS spatial analysis...

  10. GE???F1????????? | GE Global Research

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

    GEF1 Click to email this to a friend (Opens in new window) Share on Facebook (Opens in new window) Click to share (Opens in new window) Click...

  11. GEF-Colombia-Geothermal Energy Grant | Open Energy Information

    Open Energy Info (EERE)

    Colombia-Geothermal Energy Grant Jump to: navigation, search Name GEF-Colombia-Geothermal Energy Grant AgencyCompany Organization Global Environment Facility (GEF),...

  12. UNEP-GEF Renewable Energy Project Financial Risk Management in...

    Open Energy Info (EERE)

    GEF Renewable Energy Project Financial Risk Management in Developing Countries Jump to: navigation, search Name UNEP-GEF Renewable Energy Project Financial Risk Management in...

  13. Nepal-DLR Resource Assessments | Open Energy Information

    Open Energy Info (EERE)

    Area Renewable Energy Topics Background analysis, Resource assessment Resource Type Softwaremodeling tools, Dataset, Maps Website http:www.dlr.dettdesktopde Program Start...

  14. Sri Lanka-DLR Cooperation | Open Energy Information

    Open Energy Info (EERE)

    Area Renewable Energy Topics Background analysis, Resource assessment Resource Type Softwaremodeling tools, Dataset, Maps Website http:www.dlr.dettdesktopde Program Start...

  15. Ethiopia-DLR Resource Assessments | Open Energy Information

    Open Energy Info (EERE)

    to 2004 the German Aerospace Center (DLR) worked with Ethiopia on solar resource and GIS analysis as part of UNEP's Solar and Wind Energy Resource Assessment (SWERA) Programme....

  16. Bangladesh-DLR Resource Assessments | Open Energy Information

    Open Energy Info (EERE)

    to 2004 the German Aerospace Center (DLR) worked with Bangladesh on solar resource and GIS analysis as part of UNEP's Solar and Wind Energy Resource Assessment (SWERA) Programme....

  17. Algeria-DLR Resource Assessments | Open Energy Information

    Open Energy Info (EERE)

    for Algeria. The key products included maps of existing ressource assessments, pre feasibility studies for CSP and wind projects. References "DLR Website" Retrieved from...

  18. Jordan-DLR Resource Assessments | Open Energy Information

    Open Energy Info (EERE)

    for Tunisia. The key products included maps of existing resource assessments, pre feasibility studies for CSP and wind projects. References "DLR Website" Retrieved from...

  19. Tunisia-DLR Resource Assessments | Open Energy Information

    Open Energy Info (EERE)

    for Tunisia. The key products included maps of existing resource assessments, pre feasibility studies for CSP and wind projects. References "DLR Website" Retrieved from...

  20. Peru-GEF Nationally Appropriate Mitigation Actions in the Energy...

    Open Energy Info (EERE)

    (Redirected from UNDP-Peru GEF Nationally Appropriate Mitigation Actions in the Energy Generation and End-Use Sectors)...

  1. Ghana-DLR Resource Assessments | Open Energy Information

    Open Energy Info (EERE)

    2001 to 2004 the German Aerospace Center (DLR) worked with Ghana on solar resource and GIS analysis as part of UNEP's Solar and Wind Energy Resource Assessment (SWERA) Programme....

  2. GEF-Knowledge Management Initiative | Open Energy Information

    Open Energy Info (EERE)

    AgencyCompany Organization Global Environment Facility (GEF) Resource Type Dataset, Lessons learnedbest practices Website http:www.thegef.orggefsite Program Start 2010...

  3. Geospatial Science Steering Committee

    Broader source: Energy.gov [DOE]

    The Geospatial Science Steering Committee (GSSC) functions in an advisory role to the DOE national laboratories, major facilities, and to headquarters and field office elements to actively promote...

  4. Geospatial | OpenEI Community

    Open Energy Info (EERE)

    Geospatial > Posts by term Content Group Activity By term Q & A Feeds ask queries (1) compound queries (1) data (1) developer (1) geospatial data (1) GIS (1) GIS data (1) Global...

  5. UNDP-GEF Fuel Cell Bus Programme: Update | Open Energy Information

    Open Energy Info (EERE)

    GEF Fuel Cell Bus Programme: Update Jump to: navigation, search Tool Summary LAUNCH TOOL Name: UNDP-GEF Fuel Cell Bus Programme: Update AgencyCompany Organization: United Nations...

  6. Geospatial Toolkit | Open Energy Information

    Open Energy Info (EERE)

    Laboratory (NREL). It integrates resource data and geographic information systems (GIS) - for integrated resource assessment. The Geospatial Toolkit (GsT) is a map-based...

  7. geospatial data | OpenEI Community

    Open Energy Info (EERE)

    geospatial data Home NickL's picture Submitted by NickL(137) Contributor 25 June, 2012 - 21:45 GIS keyword geospatial data GIS GIS data Explore the geospatial datasets in OpenEI's...

  8. China Renewable Energy Scale up Program CRESP GOC WB GEF | Open...

    Open Energy Info (EERE)

    up Program CRESP GOC WB GEF Jump to: navigation, search Name: China Renewable Energy Scale-up Program (CRESP) GOCWBGEF Place: Beijing, Beijing Municipality, China Zip: 100038...

  9. Geospatial | OpenEI Community

    Open Energy Info (EERE)

    Groups > Groups > Geospatial Content Group Activity By term Q & A Feeds There are no feeds from external sites for this group. Groups Menu You must login in order to post into this...

  10. NREL: International Activities - Geospatial Toolkits

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

    Geospatial Toolkit The Geospatial Toolkit is an NREL-developed map-based software application that integrates resource data and other geographic information systems (GIS) data for integrated resource assessment. The non-resource, country-specific data for each toolkit comes from a variety of agencies within each country as well as from global datasets. Funding for the toolkit was provided by the United States Agency for International Development (USAID), United States Trade and Development

  11. Geospatial Technology Summit | Department of Energy

    Office of Environmental Management (EM)

    Geospatial Technology Summit Geospatial Technology Summit PDF icon Geospatial Technologies from the Ground Up-The State Perspective_0.pdf PDF icon Real Time Monitoring of Energy Infrastructure Status_0.pdf PDF icon Geospatial Analysis and the OpenCarto Framework-Spatial Analysis, Data Provision, and Decision Support_0.pdf PDF icon Flight Planning Tool_0.pdf PDF icon Overview of GIS Groups at DOE_0.pdf PDF icon Developing Renewable Energy Resources and Associated Infrastructure-Location,

  12. Geospatial Science Program | Department of Energy

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

    ... of GSP directives. Addthis Related Articles Statistics Show Bearing Problems Cause the Majority of Wind Turbine Gearbox Failures WENDI Opens the Door to Wind Information Geospatial

  13. Contacts for Geospatial Science Program | Department of Energy

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

    Geospatial Science Program Contacts for Geospatial Science Program LeAnn Oliver Associate Chief Information Officer for IT Policy and Governance US Department of Energy 202-586-0166 Geospatial

  14. Geospatial Decision Making System - Energy Innovation Portal

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

    Biomass and Biofuels Biomass and Biofuels Find More Like This Return to Search Geospatial Decision Making System Idaho National Laboratory Contact INL About This Technology Technology Marketing Summary The INL has developed a geospatial decision making process to assist agricultural producers in optimizing operating conditions of combine harvesters which detects the presence of grain and distinguishes between that and residual plant material. Upon detecting grain in the process, the system sends

  15. FK-DLR properties of a quantum multi-type Bose-gas with a repulsive interaction

    SciTech Connect (OSTI)

    Suhov, Y.; Stuhl, I.

    2014-08-01

    The paper extends earlier results from Suhov and Kelbert [FK-DLR states of a quantum Bose-gas with a hardcore interaction, http://arxiv.org/abs/arXiv:1304.0782 ] and Suhov et al. [Shift-invariance for FK-DLR states of a 2D quantum Bose-gas, http://arxiv.org/abs/arXiv:1304.4177 ] about infinite-volume quantum bosonic states (FK-DLR states) to the case of multi-type particles with non-negative interactions. (An example is a quantum WidomRowlinson model.) Following the strategy from Suhov and Kelbert and Suhov et al., we establish that, for the values of fugacity z?(0, 1) and inverse temperature ? > 0, finite-volume Gibbs states form a compact family in the thermodynamic limit. Next, in dimension two we show that any limit-point state (an FK-DLR state in the terminology adopted in Suhov and Kelbert and Suhov et al.) is translation-invariant.

  16. Wyoming Game and Fish Department Geospatial Data | Open Energy...

    Open Energy Info (EERE)

    Wyoming Game and Fish Department Geospatial Data Jump to: navigation, search OpenEI Reference LibraryAdd to library Map: Wyoming Game and Fish Department Geospatial DataInfo...

  17. Recognition of the Activated States of G[alpha]13 by the rgRGS Domain of PDZRhoGEF

    SciTech Connect (OSTI)

    Chen, Zhe; Singer, William D.; Danesh, Shahab M.; Sternweis, Paul C.; Sprang, Stephen R.

    2009-12-01

    G12 class heterotrimeric G proteins stimulate RhoA activation by RGS-RhoGEFs. However, p115RhoGEF is a GTPase Activating Protein (GAP) toward G{alpha}13, whereas PDZRhoGEF is not. We have characterized the interaction between the PDZRhoGEF rgRGS domain (PRG-rgRGS) and the alpha subunit of G13 and have determined crystal structures of their complexes in both the inactive state bound to GDP and the active states bound to GDP {center_dot} AlF (transition state) and GTP{gamma}S (Michaelis complex). PRG-rgRGS interacts extensively with the helical domain and the effector-binding sites on G{alpha}13 through contacts that are largely conserved in all three nucleotide-bound states, although PRG-rgRGS has highest affinity to the Michaelis complex. An acidic motif in the N terminus of PRG-rgRGS occupies the GAP binding site of G{alpha}13 and is flexible in the GDP {center_dot} AlF complex but well ordered in the GTPS complex. Replacement of key residues in this motif with their counterparts in p115RhoGEF confers GAP activity.

  18. Integrated: Geospatial Toolkit GIS data for Nicaragua from NREL...

    Open Energy Info (EERE)

    Nicaragua from NREL (Abstract): Geographic Information Systems (GIS) data intended for use in the Geospatial toolkit or with any GIS software. (Purpose): The Solar and Wind Energy...

  19. Integrated: Geospatial Toolkit GIS data for Cuba from NREL -...

    Open Energy Info (EERE)

    Cuba from NREL (Abstract): Geographic Information Systems (GIS) data intended for use in the Geospatial toolkit or with any GIS software. (Purpose): The Solar and Wind Energy...

  20. Renewable Energy and Defense Geospatial Database | Open Energy...

    Open Energy Info (EERE)

    Database Jump to: navigation, search OpenEI Reference LibraryAdd to library Web Site: Renewable Energy and Defense Geospatial Database Abstract This database provides GIS data...

  1. NREL: Dynamic Maps, GIS Data, and Analysis Tools - Geospatial...

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

    Team The following are members of NREL's Geospatial Data Science Team: Jon Duckworth Daniel Getman Michael Gleason Nick Grue Pamela Gray-Hann Donna Heimiller Dylan Hettinger Jim...

  2. Geospatial Analysis of Renewable Energy Technical Potential on Tribal Lands

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

    Geospatial Analysis of Renewable Energy Technical Potential on Tribal Lands E. Doris, A. Lopez, and D. Beckley National Renewable Energy Laboratory U.S. Department of Energy | Office of Indian Energy 1000 Independence Ave. SW, Washington DC 20585 | 202-586-1272 energy.gov/indianenergy | indianenergy@hq.doe.gov Geospatial Analysis of Renewable Energy Technical Potential on Tribal Lands NOTICE This report was prepared as an account of work sponsored by an agency of the United States government.

  3. Activated RhoA Binds to the Pleckstrin Homology (PH) Domain of PDZ-RhoGEF, a Potential Site for Autoregulation

    SciTech Connect (OSTI)

    Chen, Zhe; Medina, Frank; Liu, Mu-ya; Thomas, Celestine; Sprang, Stephen R.; Sternweis, Paul C.

    2010-07-19

    Guanine nucleotide exchange factors (GEFs) catalyze exchange of GDP for GTP by stabilizing the nucleotide-free state of the small GTPases through their Dbl homology/pleckstrin homology (DH {center_dot} PH) domains. Unconventionally, PDZ-RhoGEF (PRG), a member of the RGS-RhoGEFs, binds tightly to both nucleotide-free and activated RhoA (RhoA {center_dot} GTP). We have characterized the interaction between PRG and activated RhoA and determined the structure of the PRG-DH {center_dot} PH-RhoA {center_dot} GTP{gamma}S (guanosine 5{prime}-O-[{gamma}-thio]triphosphate) complex. The interface bears striking similarity to a GTPase-effector interface and involves the switch regions in RhoA and a hydrophobic patch in PRG-PH that is conserved among all Lbc RhoGEFs. The two surfaces that bind activated and nucleotide-free RhoA on PRG-DH {center_dot} PH do not overlap, and a ternary complex of PRG-DH {center_dot} PH bound to both forms of RhoA can be isolated by size-exclusion chromatography. This novel interaction between activated RhoA and PH could play a key role in regulation of RhoGEF activity in vivo.

  4. Insights into the Molecular Activation Mechanism of the RhoA-specific Guanine Nucleotide Exchange Factor, PDZRhoGEF

    SciTech Connect (OSTI)

    Bielnicki, Jakub A.; Shkumatov, Alexander V.; Derewenda, Urszula; Somlyo, Avril V.; Svergun, Dmitri I.; Derewenda, Zygmunt S.

    2012-10-09

    PDZRhoGEF (PRG) belongs to a small family of RhoA-specific nucleotide exchange factors that mediates signaling through select G-protein-coupled receptors via G{alpha}{sub 12/13} and activates RhoA by catalyzing the exchange of GDP to GTP. PRG is a multidomain protein composed of PDZ, regulators of G-protein signaling-like (RGSL), Dbl-homology (DH), and pleckstrin-homology (PH) domains. It is autoinhibited in cytosol and is believed to undergo a conformational rearrangement and translocation to the membrane for full activation, although the molecular details of the regulation mechanism are not clear. It has been shown recently that the main autoregulatory elements of PDZRhoGEF, the autoinhibitory 'activation box' and the 'GEF switch,' which is required for full activation, are located directly upstream of the catalytic DH domain and its RhoA binding surface, emphasizing the functional role of the RGSL-DH linker. Here, using a combination of biophysical and biochemical methods, we show that the mechanism of PRG regulation is yet more complex and may involve an additional autoinhibitory element in the form of a molten globule region within the linker between RGSL and DH domains. We propose a novel, two-tier model of autoinhibition where the activation box and the molten globule region act synergistically to impair the ability of RhoA to bind to the catalytic DH-PH tandem. The molten globule region and the activation box become less ordered in the PRG-RhoA complex and dissociate from the RhoA-binding site, which may constitute a critical step leading to PRG activation.

  5. 3-D HYDRODYNAMIC MODELING IN A GEOSPATIAL FRAMEWORK

    SciTech Connect (OSTI)

    Bollinger, J; Alfred Garrett, A; Larry Koffman, L; David Hayes, D

    2006-08-24

    3-D hydrodynamic models are used by the Savannah River National Laboratory (SRNL) to simulate the transport of thermal and radionuclide discharges in coastal estuary systems. Development of such models requires accurate bathymetry, coastline, and boundary condition data in conjunction with the ability to rapidly discretize model domains and interpolate the required geospatial data onto the domain. To facilitate rapid and accurate hydrodynamic model development, SRNL has developed a pre- and post-processor application in a geospatial framework to automate the creation of models using existing data. This automated capability allows development of very detailed models to maximize exploitation of available surface water radionuclide sample data and thermal imagery.

  6. Transforming on-grid renewable energy markets. A review of UNDP-GEF support for feed-in tariffs and related price and market-access instruments

    SciTech Connect (OSTI)

    Glemarec, Yannick; Rickerson, Wilson; Waissbein, Oliver

    2012-11-15

    As a Global Environment Facility (GEF) founding implementing agency, UNDP has worked on over 230 GEF-supported clean energy projects in close to 100 developing countries since 1992. About 100 of these projects in 80 countries have focused on renewable energy, supported by approximately US $ 293 million in GEF funds and leveraging US $1.48 billion in associated co-financing from national governments, international organizations, the private sector and non-governmental organizations. As part of UNDP efforts to codify and share lessons learnt from these initiatives, this report addresses how scarce public resources can be used to catalyze larger private financial flows for renewable energy. It provides an overview of UNDP-GEF’s extensive work supporting development of national renewable energy policies such as feed-in tariffs. In these activities UNDP-GEF assists developing countries to assess key risks and barriers to technology diffusion and then to identify a mix of policy and financial de-risking measures to remove these barriers and drive investment. This approach is illustrated through three case studies in Uruguay, Mauritius and Kazakhstan. This report is complemented by a companion publication presenting an innovative UNDP financial modeling tool to assist policymakers in appraising different public instruments to promote clean energy.

  7. Geospatial Analysis of Renewable Energy Technical Potential on Tribal Lands

    SciTech Connect (OSTI)

    Doris, E.; Lopez, A.; Beckley, D.

    2013-02-01

    This technical report uses an established geospatial methodology to estimate the technical potential for renewable energy on tribal lands for the purpose of allowing Tribes to prioritize the development of renewable energy resources either for community scale on-tribal land use or for revenue generating electricity sales.

  8. Unconventional Energy Resources and Geospatial Information: 2006 Review

    SciTech Connect (OSTI)

    2007-09-15

    This article contains a brief summary of some of the 2006 annual committee reports presented to the Energy Minerals Division (EMD) of the American Association of Petroleum Geologists. The purpose of the reports is to advise EMD leadership and members of the current status of research and developments of energy resources (other than conventional oil and natural gas that typically occur in sandstone and carbonate rocks), energy economics, and geospatial information. This summary presented here by the EMD is a service to the general geologic community. Included in this summary are reviews of the current research and activities related to coal, coalbed methane, gas hydrates, gas shales, geospatial information technology related to energy resources, geothermal resources, oil sands, and uranium resources.

  9. The new geospatial tools: global transparency enhancing safeguards verification

    SciTech Connect (OSTI)

    Pabian, Frank Vincent

    2010-09-16

    This paper focuses on the importance and potential role of the new, freely available, geospatial tools for enhancing IAEA safeguards and how, together with commercial satellite imagery, they can be used to promote 'all-source synergy'. As additional 'open sources', these new geospatial tools have heralded a new era of 'global transparency' and they can be used to substantially augment existing information-driven safeguards gathering techniques, procedures, and analyses in the remote detection of undeclared facilities, as well as support ongoing monitoring and verification of various treaty (e.g., NPT, FMCT) relevant activities and programs. As an illustration of how these new geospatial tools may be applied, an original exemplar case study provides how it is possible to derive value-added follow-up information on some recent public media reporting of a former clandestine underground plutonium production complex (now being converted to a 'Tourist Attraction' given the site's abandonment by China in the early 1980s). That open source media reporting, when combined with subsequent commentary found in various Internet-based Blogs and Wikis, led to independent verification of the reporting with additional ground truth via 'crowdsourcing' (tourist photos as found on 'social networking' venues like Google Earth's Panoramio layer and Twitter). Confirmation of the precise geospatial location of the site (along with a more complete facility characterization incorporating 3-D Modeling and visualization) was only made possible following the acquisition of higher resolution commercial satellite imagery that could be correlated with the reporting, ground photos, and an interior diagram, through original imagery analysis of the overhead imagery.

  10. Geospatial Toolkits and Resource Maps for Selected Countries from the National Renewable Energy Laboratory (NREL)

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

    NREL developed the Geospatial Toolkit (GsT), a map-based software application that integrates resource data and geographic information systems (GIS) for integrated resource assessment. A variety of agencies within countries, along with global datasets, provided country-specific data. Originally developed in 2005, the Geospatial Toolkit was completely redesigned and re-released in November 2010 to provide a more modern, easier-to-use interface with considerably faster analytical querying capabilities. Toolkits are available for 21 countries and each one can be downloaded separately. The source code for the toolkit is also available. [Taken and edited from http://www.nrel.gov/international/geospatial_toolkits.html

  11. Establishment of the Northeast Coastal Watershed Geospatial Data Network (NECWGDN)

    SciTech Connect (OSTI)

    Hannigan, Robyn

    2014-02-17

    The goals of NECWGDN were to establish integrated geospatial databases that interfaced with existing open-source (water.html) environmental data server technologies (e.g., HydroDesktop) and included ecological and human data to enable evaluation, prediction, and adaptation in coastal environments to climate- and human-induced threats to the coastal marine resources within the Gulf of Maine. We have completed the development and testing of a "test bed" architecture that is compatible with HydroDesktop and have identified key metadata structures that will enable seamless integration and delivery of environmental, ecological, and human data as well as models to predict threats to end-users. Uniquely this database integrates point as well as model data and so offers capacities to end-users that are unique among databases. Future efforts will focus on the development of integrated environmental-human dimension models that can serve, in near real time, visualizations of threats to coastal resources and habitats.

  12. Encoding and analyzing aerial imagery using geospatial semantic graphs

    SciTech Connect (OSTI)

    Watson, Jean-Paul; Strip, David R.; McLendon, William C.; Parekh, Ojas D.; Diegert, Carl F.; Martin, Shawn Bryan; Rintoul, Mark Daniel

    2014-02-01

    While collection capabilities have yielded an ever-increasing volume of aerial imagery, analytic techniques for identifying patterns in and extracting relevant information from this data have seriously lagged. The vast majority of imagery is never examined, due to a combination of the limited bandwidth of human analysts and limitations of existing analysis tools. In this report, we describe an alternative, novel approach to both encoding and analyzing aerial imagery, using the concept of a geospatial semantic graph. The advantages of our approach are twofold. First, intuitive templates can be easily specified in terms of the domain language in which an analyst converses. These templates can be used to automatically and efficiently search large graph databases, for specific patterns of interest. Second, unsupervised machine learning techniques can be applied to automatically identify patterns in the graph databases, exposing recurring motifs in imagery. We illustrate our approach using real-world data for Anne Arundel County, Maryland, and compare the performance of our approach to that of an expert human analyst.

  13. Preliminary Geospatial Analysis of Arctic Ocean Hydrocarbon Resources

    SciTech Connect (OSTI)

    Long, Philip E.; Wurstner, Signe K.; Sullivan, E. C.; Schaef, Herbert T.; Bradley, Donald J.

    2008-10-01

    Ice coverage of the Arctic Ocean is predicted to become thinner and to cover less area with time. The combination of more ice-free waters for exploration and navigation, along with increasing demand for hydrocarbons and improvements in technologies for the discovery and exploitation of new hydrocarbon resources have focused attention on the hydrocarbon potential of the Arctic Basin and its margins. The purpose of this document is to 1) summarize results of a review of published hydrocarbon resources in the Arctic, including both conventional oil and gas and methane hydrates and 2) develop a set of digital maps of the hydrocarbon potential of the Arctic Ocean. These maps can be combined with predictions of ice-free areas to enable estimates of the likely regions and sequence of hydrocarbon production development in the Arctic. In this report, conventional oil and gas resources are explicitly linked with potential gas hydrate resources. This has not been attempted previously and is particularly powerful as the likelihood of gas production from marine gas hydrates increases. Available or planned infrastructure, such as pipelines, combined with the geospatial distribution of hydrocarbons is a very strong determinant of the temporal-spatial development of Arctic hydrocarbon resources. Significant unknowns decrease the certainty of predictions for development of hydrocarbon resources. These include: 1) Areas in the Russian Arctic that are poorly mapped, 2) Disputed ownership: primarily the Lomonosov Ridge, 3) Lack of detailed information on gas hydrate distribution, and 4) Technical risk associated with the ability to extract methane gas from gas hydrates. Logistics may control areas of exploration more than hydrocarbon potential. Accessibility, established ownership, and leasing of exploration blocks may trump quality of source rock, reservoir, and size of target. With this in mind, the main areas that are likely to be explored first are the Bering Strait and Chukchi Sea, in spite of the fact that these areas do not have highest potential for future hydrocarbon reserves. Opportunities for improving the mapping and assessment of Arctic hydrocarbon resources include: 1) Refining hydrocarbon potential on a basin-by-basin basis, 2) Developing more realistic and detailed distribution of gas hydrate, and 3) Assessing the likely future scenarios for development of infrastructure and their interaction with hydrocarbon potential. It would also be useful to develop a more sophisticated approach to merging conventional and gas hydrate resource potential that considers the technical uncertainty associated with exploitation of gas hydrate resources. Taken together, additional work in these areas could significantly improve our understanding of the exploitation of Arctic hydrocarbons as ice-free areas increase in the future.

  14. UC Davis Models: Geospatial Station Network Design Tool and Hydrogen Infrastructure Rollout Economic Analysis Model

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

    UC Davis Models Geospatial Station Network Design Tool & Hydrogen Infrastructure Rollout Economic Analysis Model (University of California-Davis) Objectives Analyze regional strategies for early rollout of hydrogen infrastructure in support of fuel cell vehicle commercialization. Estimate how many hydrogen fueling stations would be needed and how much it will cost to develop cost competitive hydrogen supply. Compare the cost of hydrogen from different types and sizes of hydrogen stations

  15. Strengthened IAEA Safeguards-Imagery Analysis: Geospatial Tools for Nonproliferation Analysis

    SciTech Connect (OSTI)

    Pabian, Frank V

    2012-08-14

    This slide presentation focuses on the growing role and importance of imagery analysis for IAEA safeguards applications and how commercial satellite imagery, together with the newly available geospatial tools, can be used to promote 'all-source synergy.' As additional sources of openly available information, satellite imagery in conjunction with the geospatial tools can be used to significantly augment and enhance existing information gathering techniques, procedures, and analyses in the remote detection and assessment of nonproliferation relevant activities, facilities, and programs. Foremost of the geospatial tools are the 'Digital Virtual Globes' (i.e., GoogleEarth, Virtual Earth, etc.) that are far better than previously used simple 2-D plan-view line drawings for visualization of known and suspected facilities of interest which can be critical to: (1) Site familiarization and true geospatial context awareness; (2) Pre-inspection planning; (3) Onsite orientation and navigation; (4) Post-inspection reporting; (5) Site monitoring over time for changes; (6) Verification of states site declarations and for input to State Evaluation reports; and (7) A common basis for discussions among all interested parties (Member States). Additionally, as an 'open-source', such virtual globes can also provide a new, essentially free, means to conduct broad area search for undeclared nuclear sites and activities - either alleged through open source leads; identified on internet BLOGS and WIKI Layers, with input from a 'free' cadre of global browsers and/or by knowledgeable local citizens (a.k.a.: 'crowdsourcing'), that can include ground photos and maps; or by other initiatives based on existing information and in-house country knowledge. They also provide a means to acquire ground photography taken by locals, hobbyists, and tourists of the surrounding locales that can be useful in identifying and discriminating between relevant and non-relevant facilities and their associated infrastructure. The digital globes also provide highly accurate terrain mapping for better geospatial context and allow detailed 3-D perspectives of all sites or areas of interest. 3-D modeling software (i.e., Google's SketchUp6 newly available in 2007) when used in conjunction with these digital globes can significantly enhance individual building characterization and visualization (including interiors), allowing for better assessments including walk-arounds or fly-arounds and perhaps better decision making on multiple levels (e.g., the best placement for International Atomic Energy Agency (IAEA) video monitoring cameras).

  16. GIS-and Web-based Water Resource Geospatial Infrastructure for Oil Shale Development

    SciTech Connect (OSTI)

    Zhou, Wei; Minnick, Matthew; Geza, Mengistu; Murray, Kyle; Mattson, Earl

    2012-09-30

    The Colorado School of Mines (CSM) was awarded a grant by the National Energy Technology Laboratory (NETL), Department of Energy (DOE) to conduct a research project en- titled GIS- and Web-based Water Resource Geospatial Infrastructure for Oil Shale Development in October of 2008. The ultimate goal of this research project is to develop a water resource geo-spatial infrastructure that serves as baseline data for creating solutions on water resource management and for supporting decisions making on oil shale resource development. The project came to the end on September 30, 2012. This final project report will report the key findings from the project activity, major accomplishments, and expected impacts of the research. At meantime, the gamma version (also known as Version 4.0) of the geodatabase as well as other various deliverables stored on digital storage media will be send to the program manager at NETL, DOE via express mail. The key findings from the project activity include the quantitative spatial and temporal distribution of the water resource throughout the Piceance Basin, water consumption with respect to oil shale production, and data gaps identified. Major accomplishments of this project include the creation of a relational geodatabase, automated data processing scripts (Matlab) for database link with surface water and geological model, ArcGIS Model for hydrogeologic data processing for groundwater model input, a 3D geological model, surface water/groundwater models, energy resource development systems model, as well as a web-based geo-spatial infrastructure for data exploration, visualization and dissemination. This research will have broad impacts of the devel- opment of the oil shale resources in the US. The geodatabase provides a baseline data for fur- ther study of the oil shale development and identification of further data collection needs. The 3D geological model provides better understanding through data interpolation and visualization techniques of the Piceance Basin structure spatial distribution of the oil shale resources. The sur- face water/groundwater models quantify the water shortage and better understanding the spatial distribution of the available water resources. The energy resource development systems model reveals the phase shift of water usage and the oil shale production, which will facilitate better planning for oil shale development. Detailed descriptions about the key findings from the project activity, major accomplishments, and expected impacts of the research will be given in the sec- tion of ACCOMPLISHMENTS, RESULTS, AND DISCUSSION of this report.

  17. iGlobe: An Interactive Visualization and Analysis Framework for Geospatial Data

    Energy Science and Technology Software Center (OSTI)

    2011-07-22

    The iGlobe system is a desktop-based visualization and analysis environment which allows seamless integration of multiple geospatial data sets from varied sources and provides an interface to interactively analyze the different data sets and apply sophisticated data analysis and mining algorithms in a near real time fashion. The framework is highly desirable in domains such as earth and climate sciences where great emphasis is placed on simultaneous analysis of different data sets such as remotemore » sensing images, climate model simulation outputs, and other environmental and demographic databases, to understand weather and climate systems and the impact of climate change in nature and people.« less

  18. Computing quality scores and uncertainty for approximate pattern matching in geospatial semantic graphs

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

    Stracuzzi, David John; Brost, Randolph C.; Phillips, Cynthia A.; Robinson, David G.; Wilson, Alyson G.; Woodbridge, Diane M. -K.

    2015-09-26

    Geospatial semantic graphs provide a robust foundation for representing and analyzing remote sensor data. In particular, they support a variety of pattern search operations that capture the spatial and temporal relationships among the objects and events in the data. However, in the presence of large data corpora, even a carefully constructed search query may return a large number of unintended matches. This work considers the problem of calculating a quality score for each match to the query, given that the underlying data are uncertain. As a result, we present a preliminary evaluation of three methods for determining both match qualitymore » scores and associated uncertainty bounds, illustrated in the context of an example based on overhead imagery data.« less

  19. Computing quality scores and uncertainty for approximate pattern matching in geospatial semantic graphs

    SciTech Connect (OSTI)

    Stracuzzi, David John; Brost, Randolph C.; Phillips, Cynthia A.; Robinson, David G.; Wilson, Alyson G.; Woodbridge, Diane M. -K.

    2015-09-26

    Geospatial semantic graphs provide a robust foundation for representing and analyzing remote sensor data. In particular, they support a variety of pattern search operations that capture the spatial and temporal relationships among the objects and events in the data. However, in the presence of large data corpora, even a carefully constructed search query may return a large number of unintended matches. This work considers the problem of calculating a quality score for each match to the query, given that the underlying data are uncertain. As a result, we present a preliminary evaluation of three methods for determining both match quality scores and associated uncertainty bounds, illustrated in the context of an example based on overhead imagery data.

  20. Data management for geospatial vulnerability assessment of interdependencies in US power generation

    SciTech Connect (OSTI)

    Shih, C.Y.; Scown, C.D.; Soibelman, L.; Matthews, H.S.; Garrett, J.H.; Dodrill, K.; McSurdy, S.

    2009-09-15

    Critical infrastructures maintain our society's stability, security, and quality of life. These systems are also interdependent, which means that the disruption of one infrastructure system can significantly impact the operation of other systems. Because of the heavy reliance on electricity production, it is important to assess possible vulnerabilities. Determining the source of these vulnerabilities can provide insight for risk management and emergency response efforts. This research uses data warehousing and visualization techniques to explore the interdependencies between coal mines, rail transportation, and electric power plants. By merging geospatial and nonspatial data, we are able to model the potential impacts of a disruption to one or more mines, rail lines, or power plants, and visually display the results using a geographical information system. A scenario involving a severe earthquake in the New Madrid Seismic Zone is used to demonstrate the capabilities of the model when given input in the form of a potentially impacted area. This type of interactive analysis can help decision makers to understand the vulnerabilities of the coal distribution network and the potential impact it can have on electricity production.

  1. Regional scale cropland carbon budgets: evaluating a geospatial agricultural modeling system using inventory data

    SciTech Connect (OSTI)

    Zhang, Xuesong; Izaurralde, Roberto C.; Manowitz, David H.; Sahajpal, Ritvik; West, Tristram O.; Thomson, Allison M.; Xu, Min; Zhao, Kaiguang; LeDuc, Stephen D.; Williams, Jimmy R.

    2015-01-01

    Accurate quantification and clear understanding of regional scale cropland carbon (C) cycling is critical for designing effective policies and management practices that can contribute toward stabilizing atmospheric CO2 concentrations. However, extrapolating site-scale observations to regional scales represents a major challenge confronting the agricultural modeling community. This study introduces a novel geospatial agricultural modeling system (GAMS) exploring the integration of the mechanistic Environmental Policy Integrated Climate model, spatially-resolved data, surveyed management data, and supercomputing functions for cropland C budgets estimates. This modeling system creates spatially-explicit modeling units at a spatial resolution consistent with remotely-sensed crop identification and assigns cropping systems to each of them by geo-referencing surveyed crop management information at the county or state level. A parallel computing algorithm was also developed to facilitate the computationally intensive model runs and output post-processing and visualization. We evaluated GAMS against National Agricultural Statistics Service (NASS) reported crop yields and inventory estimated county-scale cropland C budgets averaged over 20002008. We observed good overall agreement, with spatial correlation of 0.89, 0.90, 0.41, and 0.87, for crop yields, Net Primary Production (NPP), Soil Organic C (SOC) change, and Net Ecosystem Exchange (NEE), respectively. However, we also detected notable differences in the magnitude of NPP and NEE, as well as in the spatial pattern of SOC change. By performing crop-specific annual comparisons, we discuss possible explanations for the discrepancies between GAMS and the inventory method, such as data requirements, representation of agroecosystem processes, completeness and accuracy of crop management data, and accuracy of crop area representation. Based on these analyses, we further discuss strategies to improve GAMS by updating input data and by designing more efficient parallel computing capability to quantitatively assess errors associated with the simulation of C budget components. The modularized design of the GAMS makes it flexible to be updated and adapted for different agricultural models so long as they require similar input data, and to be linked with socio-economic models to understand the effectiveness and implications of diverse C management practices and policies.

  2. GIS-based Geospatial Infrastructure of Water Resource Assessment for Supporting Oil Shale Development in Piceance Basin of Northwestern Colorado

    SciTech Connect (OSTI)

    Zhou, Wei; Minnick, Matthew D; Mattson, Earl D; Geza, Mengistu; Murray, Kyle E.

    2015-04-01

    Oil shale deposits of the Green River Formation (GRF) in Northwestern Colorado, Southwestern Wyoming, and Northeastern Utah may become one of the first oil shale deposits to be developed in the U.S. because of their richness, accessibility, and extensive prior characterization. Oil shale is an organic-rich fine-grained sedimentary rock that contains significant amounts of kerogen from which liquid hydrocarbons can be produced. Water is needed to retort or extract oil shale at an approximate rate of three volumes of water for every volume of oil produced. Concerns have been raised over the demand and availability of water to produce oil shale, particularly in semiarid regions where water consumption must be limited and optimized to meet demands from other sectors. The economic benefit of oil shale development in this region may have tradeoffs within the local and regional environment. Due to these potential environmental impacts of oil shale development, water usage issues need to be further studied. A basin-wide baseline for oil shale and water resource data is the foundation of the study. This paper focuses on the design and construction of a centralized geospatial infrastructure for managing a large amount of oil shale and water resource related baseline data, and for setting up the frameworks for analytical and numerical models including but not limited to three-dimensional (3D) geologic, energy resource development systems, and surface water models. Such a centralized geospatial infrastructure made it possible to directly generate model inputs from the same database and to indirectly couple the different models through inputs/outputs. Thus ensures consistency of analyses conducted by researchers from different institutions, and help decision makers to balance water budget based on the spatial distribution of the oil shale and water resources, and the spatial variations of geologic, topographic, and hydrogeological Characterization of the basin. This endeavor encountered many technical challenging and hasn't been done in the past for any oil shale basin. The database built during this study remains valuable for any other future studies involving oil shale and water resource management in the Piceance Basin. The methodology applied in the development of the GIS based Geospatial Infrastructure can be readily adapted for other professionals to develop database structure for other similar basins.

  3. Global Environment Fund GEF | Open Energy Information

    Open Energy Info (EERE)

    Invests in companies that make positive contributions to environmental quality, human health and sustainable management of resources. References: Global Environment Fund...

  4. German Aerospace Center (DLR)Feed | Open Energy Information

    Open Energy Info (EERE)

    (CER) The Children's Investment Fund Foundation (CIFF) Climate and Development Knowledge Network (CDKN) Climate Technology Initiative (CTI) ClimateWorks Foundation Coalition...

  5. PlanetSense: A Real-time Streaming and Spatio-temporal Analytics Platform for Gathering Geo-spatial Intelligence from Open Source Data

    SciTech Connect (OSTI)

    Thakur, Gautam S; Bhaduri, Budhendra L; Piburn, Jesse O; Sims, Kelly M; Stewart, Robert N; Urban, Marie L

    2015-01-01

    Geospatial intelligence has traditionally relied on the use of archived and unvarying data for planning and exploration purposes. In consequence, the tools and methods that are architected to provide insight and generate projections only rely on such datasets. Albeit, if this approach has proven effective in several cases, such as land use identification and route mapping, it has severely restricted the ability of researchers to inculcate current information in their work. This approach is inadequate in scenarios requiring real-time information to act and to adjust in ever changing dynamic environments, such as evacuation and rescue missions. In this work, we propose PlanetSense, a platform for geospatial intelligence that is built to harness the existing power of archived data and add to that, the dynamics of real-time streams, seamlessly integrated with sophisticated data mining algorithms and analytics tools for generating operational intelligence on the fly. The platform has four main components i) GeoData Cloud a data architecture for storing and managing disparate datasets; ii) Mechanism to harvest real-time streaming data; iii) Data analytics framework; iv) Presentation and visualization through web interface and RESTful services. Using two case studies, we underpin the necessity of our platform in modeling ambient population and building occupancy at scale.

  6. Investing in Sustainable Transport and Urban Systems: The GEF...

    Open Energy Info (EERE)

    expand clean public transportation choices that also have the added benefits of lowering air pollution and reducing traffic congestion. LEDSGP green logo.png This tool is included...

  7. UNDP/GEF-Cambodia-Sustainable Forest Management | Open Energy...

    Open Energy Info (EERE)

    be carried out through community forestry activities to engage rural communities in nature conservation and create markets for sustainable bio-energy technologies to help curb...

  8. Geospatial | OpenEI Community

    Open Energy Info (EERE)

    Blog entry Discussion Document Event Poll Question Keywords Author Apply NickL Hi-Yes, you are correct wi... Posted by: NickL 10 Sep 2013 - 10:02 Hi- Yes, you are correct...

  9. Geospatial Toolkit | Open Energy Information

    Open Energy Info (EERE)

    Ghana, Guatemala, Honduras, India, Nepal, Nicaragua, Oaxaca, Pakistan, Sri Lanka, Turkey Cost: Free Southern Asia, Southern Asia, Southern Asia, South America, Eastern Asia,...

  10. Drainage Algorithm for Geospatial Knowledge

    Energy Science and Technology Software Center (OSTI)

    2006-08-15

    The Pacific Northwest National Laboratory (PNNL) has developed a prototype stream extraction algorithm that semi-automatically extracts and characterizes streams using a variety of multisensor imagery and digital terrain elevation data (DTED) data. The system is currently optimized for three types of single-band imagery: radar, visible, and thermal. Method of Solution: DRAGON: (1) classifies pixels into clumps of water objects based on the classification of water pixels by spectral signatures and neighborhood relationships, (2) uses themore » morphology operations (erosion and dilation) to separate out large lakes (or embayment), isolated lakes, ponds, wide rivers and narrow rivers, and (3) translates the river objects into vector objects. In detail, the process can be broken down into the following steps. A. Water pixels are initially identified using on the extend range and slope values (if an optional DEM file is available). B. Erode to the distance that defines a large water body and then dilate back. The resulting mask can be used to identify large lake and embayment objects that are then removed from the image. Since this operation be time consuming it is only performed if a simple test (i.e. a large box can be found somewhere in the image that contains only water pixels) that indicates a large water body is present. C. All water pixels are ‘clumped’ (in Imagine terminology clumping is when pixels of a common classification that touch are connected) and clumps which do not contain pure water pixels (e.g. dark cloud shadows) are removed D. The resulting true water pixels are clumped and water objects which are too small (e.g. ponds) or isolated lakes (i.e. isolated objects with a small compactness ratio) are removed. Note that at this point lakes have been identified has a byproduct of the filtering process and can be output has vector layers if needed. E. At this point only river pixels are left in the image. To separate out wide rivers all objects in the image are eroded by the half width of narrow rivers. This causes all narrow rivers to be removed and leaves only the core of wide rivers. This core is dilated out by the same distance to create a mask that is used with the original river image to separate out rivers into two separate images of narrow rivers and wide rivers F. If in the image that contains wide rivers there are small isolated short (less than 300 meters if NGA criteria is used) segments these segments are transferred to the narrow river file in order to be treated has parts of single line rivers G. The narrow river file is optionally dilated and eroded. This ‘closing’ has the effect of removing small islands, filling small gaps, and smoothing the outline H. The user also has the option of ‘closing’ objects in the wide river file. However, this depends on the degree to which the user wants to remove small islands in the large rivers. I. To make the translation from raster to single vector easier the objects in the narrow river image are reduced to a single center line (i.e. thinned) with binary morphology operations.« less

  11. Geospatial Toolkit | Open Energy Information

    Open Energy Info (EERE)

    Company Organization: National Renewable Energy Laboratory Sector: Energy Focus Area: Solar, Wind Phase: Determine Baseline Topics: Resource assessment Resource Type: Guide...

  12. NREL: Energy Analysis: Geospatial Analysis

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

    data sets and maps on renewable energy resources, energy infrastructure, demographics and land ownership, and the earth's physical geography (topography, land use,...

  13. Geospatial | OpenEI Community

    Open Energy Info (EERE)

    Groups Content Group Activity By term Q & A Feeds Share your own status updates, and follow the updates & activities of others by creating your own account. Or, remember to log in...

  14. NREL: Energy Analysis: Geospatial Analysis

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

    energy infrastructure, demographics and land ownership, and the earth's physical geography (topography, land use, rivers). NREL's geographic information system models enable...

  15. Geospatial - Q & A | OpenEI Community

    Open Energy Info (EERE)

    - 13:59 1 Groups Menu You must login in order to post into this group. Recent content Hi-Yes, you are correct wi... How do I display the Map of Wind Farms csv coordinates in...

  16. Recent content in Geospatial | OpenEI Community

    Open Energy Info (EERE)

    - 21:45 Discussion Question about Map of Wind Farms Wzeng 13 Jul 2012 - 13:59 Question Hi, there is a button labeled ... NickL 13 Jul 2012 - 14:21 Answer How can I open .ASC...

  17. Geospatial Optimization of Siting Large-Scale Solar Projects

    SciTech Connect (OSTI)

    Macknick, J.; Quinby, T.; Caulfield, E.; Gerritsen, M.; Diffendorfer, J.; Haines, S.

    2014-03-01

    Recent policy and economic conditions have encouraged a renewed interest in developing large-scale solar projects in the U.S. Southwest. However, siting large-scale solar projects is complex. In addition to the quality of the solar resource, solar developers must take into consideration many environmental, social, and economic factors when evaluating a potential site. This report describes a proof-of-concept, Web-based Geographical Information Systems (GIS) tool that evaluates multiple user-defined criteria in an optimization algorithm to inform discussions and decisions regarding the locations of utility-scale solar projects. Existing siting recommendations for large-scale solar projects from governmental and non-governmental organizations are not consistent with each other, are often not transparent in methods, and do not take into consideration the differing priorities of stakeholders. The siting assistance GIS tool we have developed improves upon the existing siting guidelines by being user-driven, transparent, interactive, capable of incorporating multiple criteria, and flexible. This work provides the foundation for a dynamic siting assistance tool that can greatly facilitate siting decisions among multiple stakeholders.

  18. Integrated: Geospatial Toolkit for Honduras from NREL - Datasets...

    Open Energy Info (EERE)

    and easy to use geographic toolkit that allows non-GIS users to relate the renewable energy resource (solar and wind) data to other geographic data, such as land use, protected...

  19. Integrated: Geospatial Toolkit GIS data for Oaxaca from NREL...

    Open Energy Info (EERE)

    show good potential for renewable energy projects. The toolkit displays renewable energy data along with information about the geography, location of population centers,...

  20. Integrated: Geospatial Toolkit GIS data for India from NREL ...

    Open Energy Info (EERE)

    show good potential for renewable energy projects. The toolkit displays renewable energy data along with information about the geography, location of population centers,...

  1. Geospatial Toolkit (GsT) Webinar | Open Energy Information

    Open Energy Info (EERE)

    wikiGsT Equivalent URI: cleanenergysolutions.orgcontentgeospatial-toolkit-gst Language: English Policies: Deployment Programs DeploymentPrograms: Technical Assistance...

  2. Next Generation (NextGen) Geospatial Information System (GIS)

    Broader source: Energy.gov [DOE]

    The U.S. Department of Energy Office of Legacy Management (LM) manages environmental records from Cold War legacy sites spanning nearly 40 years. These records are a key LM asset and must be...

  3. NREL: Dynamic Maps, GIS Data, and Analysis Tools - Hydrogen Data

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

    Biomass Geospatial Toolkits Geothermal Hydrogen International Marine & Hydrokinetic Solar Wind Data Visualization & Geospatial Tools Geospatial Team Publications Contact Us...

  4. Application of Hybrid Geo-Spatially Granular Fragility Curves to Improve Power Outage Predictions

    SciTech Connect (OSTI)

    Fernandez, Steven J; Allen, Melissa R; Omitaomu, Olufemi A; Walker, Kimberly A

    2014-01-01

    Fragility curves depict the relationship between a weather variable (wind speed, gust speed, ice accumulation, precipitation rate) and the observed outages for a targeted infrastructure network. This paper describes an empirical study of the county by county distribution of power outages and one minute weather variables during Hurricane Irene with the objective of comparing 1) as built fragility curves (statistical approach) to engineering as designed (bottom up) fragility curves for skill in forecasting outages during future hurricanes; 2) county specific fragility curves to find examples of significant deviation from average behavior; and 3) the engineering practices of outlier counties to suggest future engineering studies of robustness. Outages in more than 90% of the impacted counties could be anticipated through an average or generic fragility curve. The remaining counties could be identified and handled as exceptions through geographic data sets. The counties with increased or decreased robustness were characterized by terrain more or less susceptible to persistent flooding in areas where above ground poles located their foundations. Land use characteristics of the area served by the power distribution system can suggest trends in the as built power grid vulnerabilities to extreme weather events that would be subjects for site specific studies.

  5. The Earth System Grid Federation: An Open Infrastructure for Access to Distributed Geospatial Data

    SciTech Connect (OSTI)

    Ananthakrishnan, Rachana; Bell, Gavin; Cinquini, Luca; Crichton, Daniel; Danvil, Sebastian; Drach, Bob; Fiore, Sandro; Gonzalez, Estanislao; Harney, John F; Mattmann, Chris; Kershaw, Philip; Morgan, Mark; Pascoe, Stephen; Shipman, Galen M; Wang, Feiyi

    2013-01-01

    The Earth System Grid Federation (ESGF) is a multi-agency, international collaboration that aims at developing the software infrastructure needed to facilitate and empower the study of climate change on a global scale. The ESGF s architecture employs a system of geographically distributed peer nodes, which are independently administered yet united by the adoption of common federation protocols and application programming interfaces (APIs). The cornerstones of its interoperability are the peer-to-peer messaging that is continuously exchanged among all nodes in the federation; a shared architecture and API for search and discovery; and a security infrastructure based on industry standards (OpenID, SSL, GSI and SAML). The ESGF software is developed collaboratively across institutional boundaries and made available to the community as open source. It has now been adopted by multiple Earth science projects and allows access to petabytes of geophysical data, including the entire model output used for the next international assessment report on climate change (IPCC-AR5) and a suite of satellite observations (obs4MIPs) and reanalysis data sets (ANA4MIPs).

  6. The Earth System Grid Federation: An Open Infrastructure for Access to Distributed Geo-Spatial Data

    SciTech Connect (OSTI)

    Cinquini, Luca; Crichton, Daniel; Miller, Neill; Mattmann, Chris; Harney, John F; Shipman, Galen M; Wang, Feiyi; Bell, Gavin; Drach, Bob; Ananthakrishnan, Rachana; Pascoe, Stephen; Fiore, Sandro; Schweitzer, Roland; Danvil, Sebastian; Morgan, Mark

    2012-01-01

    The Earth System Grid Federation (ESGF) is a multi-agency, international collaboration that aims at developing the software infrastructure needed to facilitate and empower the study of climate change on a global scale. The ESGF s architecture employs a system of geographically distributed peer nodes, which are independently administered yet united by the adoption of common federation protocols and application programming interfaces (APIs). The cornerstones of its interoperability are the peer-to-peer messaging that is continuously exchanged among all nodes in the federation; a shared architecture and API for search and discovery; and a security infrastructure based on industry standards (OpenID, SSL, GSI and SAML). The ESGF software is developed collaboratively across institutional boundaries and made available to the community as open source. It has now been adopted by multiple Earth science projects and allows access to petabytes of geophysical data, including the entire model output used for the next international assessment report on climate change (IPCC-AR5) and a suite of satellite observations (obs4MIPs) and reanalysis data sets (ANA4MIPs).

  7. Thermochemical Energy Storage

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

    Thermochemical Energy Storage Overview on German, and European R&D Programs and the work carried out at the German Aerospace Center DLR Dr. Christian Sattler christian.sattler@dlr.de Dr. Antje Wörner antje.woerner@dlr.de Thermochemical Energy Storage > 8 January 2013 www.DLR.de * Chart 1 Contents - Short Introduction of the DLR - Energy Program - Thermochemical Storage - Strategic basis: Germany and European Union - Processes - CaO/Ca(OH) 2 - Metal oxides (restructure) - Sulfur -

  8. spatial analysis | OpenEI Community

    Open Energy Info (EERE)

    spatial analysis Home Geospatial Description: Discuss and explore geospatial data available on OpenEI. geospatial GIS spatial analysis Syndicate content...

  9. A comparison of geospatially modeled fire behavior and potential application to fire and fuels management for the Savannah River Site.

    SciTech Connect (OSTI)

    Kurth, Laurie; Hollingsworth, LaWen; Shea, Dan

    2011-12-20

    This study evaluates modeled fire behavior for the Savannah River Site in the Atlantic Coastal Plain of the southeastern U.S. using three data sources: FCCS, LANDFIRE, and SWRA. The Fuel Characteristic Classification System (FCCS) was used to build fuelbeds from intensive field sampling of 629 plots. Custom fire behavior fuel models were derived from these fuelbeds. LANDFIRE developed surface fire behavior fuel models and canopy attributes for the U.S. using satellite imagery informed by field data. The Southern Wildfire Risk Assessment (SWRA) developed surface fire behavior fuel models and canopy cover for the southeastern U.S. using satellite imagery.

  10. Annual Monitoring Report Interactive Map | Open Energy Information

    Open Energy Info (EERE)

    inception, that are not currently under implementation, data is extracted from the GEF's Project Management Information System (PMIS). The main concept behind the map is to create...

  11. Solar: monthly and annual average direct normal (DNI) GIS data...

    Open Energy Info (EERE)

    Download Carribean Islands Central America DNI GIS Mexico NREL GEF SWERA UNEP atmospheric water v... solar Additional Info Field Value Source www.nrel.gov Author National Renewable...

  12. Promotion of Wind Energy: Lessons Learned from International...

    Open Energy Info (EERE)

    Wind Energy: Lessons Learned from International Experience and United Nations Development Programme Global Environment Facility (UNDP-GEF) Projects Jump to: navigation, search Tool...

  13. Maryland's 8th congressional district: Energy Resources | Open...

    Open Energy Info (EERE)

    8th congressional district Arborview Capital Clean Currents Global Environment Fund GEF National Interest Security Company NISC Formerly Technology Management Services TMS Inc...

  14. Burkina Faso-National Adaptation Plan Global Support Programme...

    Open Energy Info (EERE)

    Global Environment Facility (GEF), United Nations Framework Convention on Climate Change (UNFCCC), Global Water Partnership (GWP), German Society for International Cooperation...

  15. Djibouti-National Adaptation Plan Global Support Programme (NAP...

    Open Energy Info (EERE)

    Global Environment Facility (GEF), United Nations Framework Convention on Climate Change (UNFCCC), Global Water Partnership (GWP), German Society for International Cooperation...

  16. Central African Republic-National Adaptation Plan Global Support...

    Open Energy Info (EERE)

    Global Environment Facility (GEF), United Nations Framework Convention on Climate Change (UNFCCC), Global Water Partnership (GWP), German Society for International Cooperation...

  17. Niger-National Adaptation Plan Global Support Programme (NAP...

    Open Energy Info (EERE)

    Global Environment Facility (GEF), United Nations Framework Convention on Climate Change (UNFCCC), Global Water Partnership (GWP), German Society for International Cooperation...

  18. Rwanda-National Adaptation Plan Global Support Programme (NAP...

    Open Energy Info (EERE)

    Global Environment Facility (GEF), United Nations Framework Convention on Climate Change (UNFCCC), Global Water Partnership (GWP), German Society for International Cooperation...

  19. Lesotho-National Adaptation Plan Global Support Programme (NAP...

    Open Energy Info (EERE)

    Global Environment Facility (GEF), United Nations Framework Convention on Climate Change (UNFCCC), Global Water Partnership (GWP), German Society for International Cooperation...

  20. Liberia-National Adaptation Plan Global Support Programme (NAP...

    Open Energy Info (EERE)

    Global Environment Facility (GEF), United Nations Framework Convention on Climate Change (UNFCCC), Global Water Partnership (GWP), German Society for International Cooperation...

  1. Malawi-National Adaptation Plan Global Support Programme (NAP...

    Open Energy Info (EERE)

    Global Environment Facility (GEF), United Nations Framework Convention on Climate Change (UNFCCC), Global Water Partnership (GWP), German Society for International Cooperation...

  2. Comoros-National Adaptation Plan Global Support Programme (NAP...

    Open Energy Info (EERE)

    Global Environment Facility (GEF), United Nations Framework Convention on Climate Change (UNFCCC), Global Water Partnership (GWP), German Society for International Cooperation...

  3. Tanzania-National Adaptation Plan Global Support Programme (NAP...

    Open Energy Info (EERE)

    Global Environment Facility (GEF), United Nations Framework Convention on Climate Change (UNFCCC), Global Water Partnership (GWP), German Society for International Cooperation...

  4. Bangladesh-National Adaptation Plan Global Support Programme...

    Open Energy Info (EERE)

    Global Environment Facility (GEF), United Nations Framework Convention on Climate Change (UNFCCC), Global Water Partnership (GWP), German Society for International Cooperation...

  5. The Gambia-National Adaptation Plan Global Support Programme...

    Open Energy Info (EERE)

    Global Environment Facility (GEF), United Nations Framework Convention on Climate Change (UNFCCC), Global Water Partnership (GWP), German Society for International Cooperation...

  6. Democratic Republic of Congo-National Adaptation Plan Global...

    Open Energy Info (EERE)

    Global Environment Facility (GEF), United Nations Framework Convention on Climate Change (UNFCCC), Global Water Partnership (GWP), German Society for International Cooperation...

  7. Uganda-National Adaptation Plan Global Support Programme (NAP...

    Open Energy Info (EERE)

    Global Environment Facility (GEF), United Nations Framework Convention on Climate Change (UNFCCC), Global Water Partnership (GWP), German Society for International Cooperation...

  8. Mali-National Adaptation Plan Global Support Programme (NAP-GSP...

    Open Energy Info (EERE)

    Global Environment Facility (GEF), United Nations Framework Convention on Climate Change (UNFCCC), Global Water Partnership (GWP), German Society for International Cooperation...

  9. Mozambique-National Adaptation Plan Global Support Programme...

    Open Energy Info (EERE)

    Global Environment Facility (GEF), United Nations Framework Convention on Climate Change (UNFCCC), Global Water Partnership (GWP), German Society for International Cooperation...

  10. Mauritania-National Adaptation Plan Global Support Programme...

    Open Energy Info (EERE)

    Global Environment Facility (GEF), United Nations Framework Convention on Climate Change (UNFCCC), Global Water Partnership (GWP), German Society for International Cooperation...

  11. Sudan-National Adaptation Plan Global Support Programme (NAP...

    Open Energy Info (EERE)

    Global Environment Facility (GEF), United Nations Framework Convention on Climate Change (UNFCCC), Global Water Partnership (GWP), German Society for International Cooperation...

  12. Cambodia-National Adaptation Plan Global Support Programme (NAP...

    Open Energy Info (EERE)

    Global Environment Facility (GEF), United Nations Framework Convention on Climate Change (UNFCCC), Global Water Partnership (GWP), German Society for International Cooperation...

  13. Benin-National Adaptation Plan Global Support Programme (NAP...

    Open Energy Info (EERE)

    Global Environment Facility (GEF), United Nations Framework Convention on Climate Change (UNFCCC), Global Water Partnership (GWP), German Society for International Cooperation...

  14. Ghana-NREL Rural Electrification | Open Energy Information

    Open Energy Info (EERE)

    electrification project in Ghana in cooperation with UNDP and GEF. NREL also piloted a business model for providing energy services in rural areas of Ghana.1 References ...

  15. Gateway:Coordinated Low Emissions Assistance Network (CLEAN)...

    Open Energy Info (EERE)

    Center ClimateTechWiki ESMAP Low Carbon Development Knowledge Products and E-Learning IEA Policies and Measures Database GEF-Knowledge Management Initiative REN21...

  16. Inside Idaho: Interactive Numeric and Spatial Information Data...

    Open Energy Info (EERE)

    GraphicMapChart Abstract Idaho GIS Clearinghouse Organization Idaho Geospatial Office Published Idaho Geospatial Office, Date Not Provided DOI Not Provided Check for DOI...

  17. 06554_GreenRiverGIS | netl.doe.gov

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

    GIS and Web-Based Water Resource Geospatial Infrastructure for Oil Shale Development Last ... GIS- (Geographic Information Systems) and web-based water resource geospatial ...

  18. Global Renewable Energy Database | Open Energy Information

    Open Energy Info (EERE)

    LAUNCH TOOL Name: Global Renewable Energy Database AgencyCompany Organization: German Aerospace Center (DLR) Sector: Energy Focus Area: Renewable Energy, Solar, Wind...

  19. Slide 1

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

    Initial studies: DLR-A Sandia flame D Improved numerical methods allow a fuller treatment of chemistry Future: Comparison with DNS (Chen, Sandia) Premixed...

  20. insert 52005.indd

    Open Energy Info (EERE)

    Solar and Wind Energy Resource Assessment (SWERA) is a US 9.3 million Project, co-financed with US6.8 million from the Global Environment Facility (GEF) and more than 25...

  1. Brazil-World Bank Climate Projects | Open Energy Information

    Open Energy Info (EERE)

    1.1 Sao Paulo Metro Line 5 Project 1.2 BR-GEF Sustainable Transport and Air Quality Project (STAQ) 1.3 First Programmatic Development Policy Loan for Sustainable...

  2. Ecosystem Spectroscopy - Investigating associations between hyperspect...

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

    Yuki's research interests include ecosystem functions and processes, big eco-geospatial data analytics, and geospatial cloud analytics. Yuki holds a B.A. and M.S. degrees in...

  3. GIS data | OpenEI Community

    Open Energy Info (EERE)

    GIS data Home NickL's picture Submitted by NickL(137) Contributor 25 June, 2012 - 21:45 GIS keyword geospatial data GIS GIS data Explore the geospatial datasets in OpenEI's...

  4. Prsentation PowerPoint

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

    ?? The existing European Fleet CATEGORIES OPERATORS 1. Strato. jet 2. Jets 3. Large AC 4. Medium AC 5. Small AC Geophysica EEIG Geophysica DLR HALO Cessna 208B NLR Citation...

  5. Microsoft PowerPoint - 090326_stm_poster_IWV.pptx

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

    Shallow and Organized Convection With Water-Vapor DIAL and DOW as well as Comparisons with Mesoscale Models during COPS Volker Wulfmeyer 1 , Fumiko Aoshima 1 , Andreas Behrendt 1 , Sandip Pal 1 , Tammy Weckwerth 2 , and Martin Hagen 3 1: University of Hohenheim, Stuttgart, Germany; 2: National Center for Atmospheric Research, USA, 3: DLR Oberpfaffenhofen, Germany 1: University of Hohenheim, Stuttgart, Germany; 2: National Center for Atmospheric Research, USA, 3: DLR Oberpfaffenhofen, Germany 1)

  6. 06554_GreenRiverGIS | netl.doe.gov

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

    GIS and Web-Based Water Resource Geospatial Infrastructure for Oil Shale Development Last Reviewed 6/26/2013 DE-NT0006554 Goal The goal of this project is to develop a GIS- (Geographic Information Systems) and web-based water resource geospatial infrastructure, which contains the basin baseline datasets for surface and groundwater, customized analytical toolsets, and user interfaces (UIs). The water resource geospatial infrastructure will provide water management solutions that will facilitate

  7. NREL: Energy Analysis - Capabilities and Expertise

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

    that are used to conduct impact, sustainability, techno-economic, and geospatial anaylsis. ... Sustainability Analysis Projecting the Impacts of REEE and Conventional Energy ...

  8. U.S. OpenLabs - Educational Materials | Open Energy Information

    Open Energy Info (EERE)

    Practices and Application in the U.S. Geospatial Toolkit (GsT) Webinar Introduction to Hydrogen for Code Officials LEDSGPanalysisimpactsDIAWebinar on Development Impact...

  9. NREL: Energy Analysis - Daniel Getman

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

    Daniel Getman Photo of Daniel Getman. Daniel Getman is a member of the Data Analysis and Visualization Group in the Strategic Energy Analysis Center. Geospatial Data Science Team...

  10. Bioenergy Knowledge Discovery Framework Recognized at National...

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

    KDF team members from Oak Ridge National Laboratory. The Bioenergy KDF is an online collaboration and geospatial analysis tool managed by the Bioenergy Technologies Office and...

  11. Keep in mind, that with formality, often comes more of a standing...

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

    ... of wellbore to regional-scale subsurface interpretation of geologic systems through the utilization of petroleum systems, basin analysis, and geospatial and geostatistical ...

  12. USAJobs Search | Department of Energy

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

    integration for applications which: 1) support agencys geospatial information systems (GIS); 2) support Computer Aided Design systems (CAD) and knowledge workers; and 3) support...

  13. Horizontal Plate Plate

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

    Unknown Title: Horizontal Plate Plate GeospatialDataPresentationForm: vector digital data OnlineLinkage:

  14. Washington, D.C. and Tennessee: Bioenergy Technologies Office...

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

    a variety of data sets, publications, and collaboration and ... geospatial data; and browse the site's collection of ... Recognized at National Conference National Bioenergy Day ...

  15. IGLOBE

    Energy Science and Technology Software Center (OSTI)

    002848MLTPL00 iGlobe: An Interactive Visualization and Analysis Framework for Geospatial Data http://www.ornl.gov/~6qz/iglobe/

  16. Sandia Energy - Electric Power Generation and Water Use Data

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

    water withdrawal and consumption. The data can be accessed in two different ways: ArcGIS Online: interact with data in a geospatial context, Excel Spreadsheet: download raw...

  17. San

    Office of Environmental Management (EM)

    (ESRI) software * Dedicated server for repository for all raw geospatial data * ArcGIS for server enterprise concurrent license as platform to network servers * ArcGIS...

  18. Pipeline transportation and underground storage are vital and...

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

    ... for Providing Appropriate Access to Geospatial Data in Response to Security Concerns. Source: Energy Information Administration, GasTran Gas Transportation Information ...

  19. EIA - Natural Gas Pipeline Network - Underground Natural Gas...

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

    raise security concerns, based on the application of the Federal Geographic Data Committee's Guidelines for Providing Appropriate Access to Geospatial Data in Response to Security ...

  20. EIA - Natural Gas Pipeline Network - Region To Region System...

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

    raise security concerns, based on the application of the Federal Geographic Data Committee's Guidelines for Providing Appropriate Access to Geospatial Data in Response to Security ...

  1. U.S. Underground Natural Gas Storage Developments: 1998-2005

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

    ... Providing Appropriate Access to Geospatial Data in Response to Security Concerns. Source: Energy Information Administration, GasTran Natural Gas Transportation Information System. ...

  2. EIA - Natural Gas Pipeline Network - U.S. Natural Gas Pipeline...

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

    raise security concerns, based on the application of the Federal Geographic Data Committee's Guidelines for Providing Appropriate Access to Geospatial Data in Response to Security ...

  3. Additions to Capacity on the U.S. Natural Gas Pipeline Network...

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

    ... for Providing Appropriate Access to Geospatial Data in Response to Security Concerns. Source: Energy Information Administration, GasTran Gas Transportation Information ...

  4. NREL: Energy Analysis - Working with Us

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

    market, policy, sustainability, and geospatial analysis. Also learn more about our data, models and tools, and publications. You can also access the sponsorship page on the...

  5. The Pittsburgh Federal Executive Board Honors NETL with Eight...

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

    his Integrated Geospatial Tools for Search and Rescue (IGT4SAR). The mobility model of IGT4SAR considers the influence of slope, land cover, hydrology, and the...

  6. United Nations Environment Programme: Global Environment Outlook...

    Open Energy Info (EERE)

    more than 500 different variables, as national, subregional, regional and global statistics or as geospatial data sets (maps), covering themes like Freshwater, Population,...

  7. Dynamic Line Rating: Research and Policy Evaluation

    SciTech Connect (OSTI)

    Jake P. Gentle; Kurt S. Myers; Michael R. West

    2014-07-01

    Dynamic Line Rating (DLR) is a smart grid technology that allows the rating of electrical conductors to be increased based on local weather conditions. Overhead lines are conventionally given a conservative rating based on worst case scenarios. We demonstrate that observing the conditions in real time leads to additional capacity and safer operation. This paper provides a report of a pioneering scheme in the United States of America in which DLR has been applied. Thereby, we demonstrate that observing the local weather conditions in real time leads to additional capacity and safer operation. Secondly, we discuss limitations involved. In doing so, we arrive at novel insights which will inform and improve future DLR projects. Third, we provide a policy background and discussion to clarify the technology’s potential and identifies barriers to the imminent adoption of dynamic line rating systems. We provide suggestions for regulatory bodies about possible improvements in policy to encourage adoption of this beneficial technology.

  8. Dynamic Line Rating Oncor Electric Delivery Smart Grid Program

    SciTech Connect (OSTI)

    Johnson, Justin; Smith, Cale; Young, Mike; Donohoo, Ken; Owen, Ross; Clark, Eddit; Espejo, Raul; Aivaliotis, Sandy; Stelmak, Ron; Mohr, Ron; Barba, Cristian; Gonzalez, Guillermo; Malkin, Stuart; Dimitrova, Vessela; Ragsdale, Gary; Mitchem, Sean; Jeirath, Nakul; Loomis, Joe; Trevino, Gerardo; Syracuse, Steve; Hurst, Neil; Mereness, Matt; Johnson, Chad; Bivens, Carrie

    2013-05-04

    Electric transmission lines are the lifeline of the electric utility industry, delivering its product from source to consumer. This critical infrastructure is often constrained such that there is inadequate capacity on existing transmission lines to efficiently deliver the power to meet demand in certain areas or to transport energy from high-generation areas to high-consumption regions. When this happens, the cost of the energy rises; more costly sources of power are used to meet the demand or the system operates less reliably. These economic impacts are known as congestion, and they can amount to substantial dollars for any time frame of reference: hour, day or year. There are several solutions to the transmission constraint problem, including: construction of new generation, construction of new transmission facilities, rebuilding and reconductoring of existing transmission assets, and Dynamic Line Rating (DLR). All of these options except DLR are capital intensive, have long lead times and often experience strong public and regulatory opposition. The Smart Grid Demonstration Program (SGDP) project co-funded by the Department of Energy (DOE) and Oncor Electric Delivery Company developed and deployed the most extensive and advanced DLR installation to demonstrate that DLR technology is capable of resolving many transmission capacity constraint problems with a system that is reliable, safe and very cost competitive. The SGDP DLR deployment is the first application of DLR technology to feed transmission line real-time dynamic ratings directly into the system operation’s State Estimator and load dispatch program, which optimizes the matching of generation with load demand on a security, reliability and economic basis. The integrated Dynamic Line Rating (iDLR)1 collects transmission line parameters at remote locations on the lines, calculates the real-time line rating based on the equivalent conductor temperature, ambient temperature and influence of wind and solar radiation on the stringing section, transmits the data to the Transmission Energy Management System, validates its integrity and passes it on to Oncor and ERCOT (Electric Reliability Council of Texas) respective system operations. The iDLR system is automatic and transparent to ERCOT System Operations, i.e., it operates in parallel with all other system status telemetry collected through Supervisory Control and Data Acquisition (SCADA) employed across the company.

  9. NREL: Dynamic Maps, GIS Data, and Analysis Tools - Data Visualization &

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

    Geospatial Tools MapSearch Searching for maps has never been easier. A screen capture of the MapSearch Map view option Bookmark and Share Data Visualization & Geospatial Tools NREL's Geospatial Data Science Team has developed tools that allow users to apply these data. These tools help determine things such as how much electricity can be produced from solar systems on a house or what renewable resources are available in a specific areas. Please visit http://maps.nrel.gov/ for the most

  10. Evaluation of OGC Standards for Use in LLNL GIS

    SciTech Connect (OSTI)

    Walker, H; Chou, R M; Chubb, K K; Schek, J L

    2006-06-23

    Over the summer of 2005, the Lawrence Livermore National Laboratory (LLNL) Computer Applications and Research Department conducted a small project that examined whether Open Geospatial Consortium (OGC) standards might be useful in meeting program mission requirements more effectively. OGC standards are intended to facilitate interoperability between geospatial processing systems to lower development costs and to avoid duplication of effort and vendor lock-in. Some OGC standards appear to be gaining traction in the geospatial data community, the Federal government, Department of Energy (DOE) and Department of Homeland Security (DHS) and so an evaluation was deemed appropriate.

  11. Spotlights Archive | Department of Energy

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

    as a tribute to the nation's armed forces (see bottom of page for a history of the Blue Star Memorials). July 12, 2013 Next Generation (NextGen) Geospatial Information System...

  12. Map Data: Alternative Fuel Stations

    Broader source: Energy.gov [DOE]

    The geospatial vector data has been compressed into one file.  You will need to uncompress it before using a geographic information systems (GIS) program to view the data.

  13. Sandia Energy - Water Availability, Cost, and Use

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

    were projected over the next 20 years. The data can be accessed in two different ways: ArcGIS Online: interact with data in a geospatial context, Excel Spreadsheet: download raw...

  14. NNSA's G2 Management Information System Wins Association for...

    National Nuclear Security Administration (NNSA)

    The 900-plus current users of the system track 19,000 actions per month in scope, schedule, and financial data including geo-spatial information (maps, diagrams, photos, inventory ...

  15. Forecasting hotspots using predictive visual analytics approach

    DOE Patents [OSTI]

    Maciejewski, Ross; Hafen, Ryan; Rudolph, Stephen; Cleveland, William; Ebert, David

    2014-12-30

    A method for forecasting hotspots is provided. The method may include the steps of receiving input data at an input of the computational device, generating a temporal prediction based on the input data, generating a geospatial prediction based on the input data, and generating output data based on the time series and geospatial predictions. The output data may be configured to display at least one user interface at an output of the computational device.

  16. NREL: Dynamic Maps, GIS Data, and Analysis Tools - Data Resources

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

    Bookmark and Share Data Resources NREL's Geospatial Data Science Team develops technology-specific GIS data maps for a variety of areas, as well as targeted analysis tools that can help determine availability of renewable energy resources. Geographic Information System Data NREL's Geospatial Data Science Team develops technology-specific GIS data maps for a variety of areas, including biomass, geothermal, solar, wind, and renewable hydrogen. The team has made some of our datasets available for

  17. NREL: Dynamic Maps, GIS Data, and Analysis Tools - Webmaster

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

    Webmaster To contact the Webmaster, please provide your name, e-mail address, and message below. When you are finished, click "Send Message." NOTE: If you enter your e-mail address incorrectly, we will be unable to reply. Your name: Your email address: Your message: Send Message Printable Version NREL GIS Home About NREL GIS Renewable Energy Technical Potential Renewable Energy Economic Potential Maps Data Resources Data Visualization & Geospatial Tools Geospatial Data Science Team

  18. Learning from Semantic Interactions

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

    Learning from Semantic Interactions Most machine learning tools used in geospatial mapping can only learn from labels. Learning from Semantic Interactions LANL's new machine learning tools can learn from semantic user interactions to produce more accurate mappings Point of Contact: Reid Porter, ISR Division, 665-7508, rporter@lanl.gov Current Phase - LDRD: * Develop theory and algorithms for tools and demonstrate impact in image analysis applications in materials microscopy. Phase 2 - Geospatial

  19. Introduction to the Office and Programs

    Office of Environmental Management (EM)

    Overview of Tribal Land Opportunities John Nangle, National Renewable Energy Laboratory (NREL) Tribal Leader Forum, Phoenix, AZ - May 30 - 31, 2013 1 RENEWABLE ENERGY POTENTIAL ON TRIBAL LANDS Geospatial Analysis: Renewable Energy Technical Potential * New analysis represents an increase in potential density on tribal lands * Renewable energy technical potential on tribal lands is about 5% of the total national technical potential 3 Why is Geospatial Analysis Different? * A statistical approach

  20. General Observation Period 2007: Concept and first results

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

    and Orographically- induced Precipitation Study (COPS) AMF AMF Volker Wulfmeyer, Andreas Behrendt, and Hans-Stefan Bauer, University of Hohenheim Christoph Kottmeier and Ulrich Corsmeier, FZK Karlsruhe Gerhard Adrian, German Meteorological Service (DWD Alan Blyth, School of Environment, University of Leeds, UK George Craig, Ulrich Schumann, and Martin Hagen, DLR Susanne Crewell, University of Cologne Paolo Di Girolamo, Universita degli Studi della Basilicata, Potenza, Italy Cyrille Flamant,

  1. Colorado State University Video (Text Version) | Department of Energy

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

    Colorado State University Video (Text Version) Colorado State University Video (Text Version) Steve Hultin, Executive Director, Facilities Management Colorado State University: This week in the Drive Leadership Program I drove the Cadillac DLR, a beautiful car and I also drove the Nissan Leaf, a fantastic car for getting around town. Having driven these cars for a week now I enjoyed the quietness. I think the efficiency is attractive but mostly I think our commutes are pretty brief and short

  2. Microsoft PowerPoint - C_pol_lightning_summary.ppt

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

    Pol and Lightning Data Peter May and Hartmut Hoeller BMRC DLR Polarimetric radar Type of weather radar Change polarisation between pulses: Measures: Reflectivity Differential Reflectivity - oblateness Correlation between signals - mixed phase Differential phase on propagation - attenuation rain rates Applications - QPE, Hydrology, Storm microphysics Scan Strategy every 10 minutes 1) Long range low elevation scan 2) 17 tilt Volume scan up to 45 o , range 150 km 3) RHI Scan over ARCS, Profiler

  3. Project Profile: High-Temperature Falling-Particle Receiver | Department of

    Energy Savers [EERE]

    Energy Concentrating Solar Power » Project Profile: High-Temperature Falling-Particle Receiver Project Profile: High-Temperature Falling-Particle Receiver SNL logo Sandia National Laboratories with partners Georgia Tech, Bucknell University, King Saud University, and DLR, are developing a falling-particle receiver and heat-exchanger system to increase efficiency and lower costs under the 2012 Concentrating Solar Power (CSP) SunShot R&D funding opportunity announcement (FOA). Approach

  4. Methods and systems for seed planting management and control

    DOE Patents [OSTI]

    Svoboda, John M. (Idaho Falls, ID); Hess, J. Richard (Idaho Falls, ID); Hoskinson, Reed L. (Rigby, ID); Harker, David J. (Idaho Falls, ID)

    2002-01-01

    A seed planting system providing optimal seed spacing in an agricultural field. The seed planting system includes a mobile seed planter having one or more planting shoes, or members being adapted for towing by a farm vehicle or being self-propelled. Sensors, disposed proximate to respective planting shoes, detect seed planting events and send corresponding signals to a computer. Contemporaneously, a geospatial locator acquires, and transmits to the computer, the geospatial location of each planted seed. The computer correlates the geospatial location data with the seed deposition data and generates a seed distribution profile indicating the location of each seed planted in a zone of interest to enable the control of speed spacing.

  5. Crystal Structure of the C-terminal Domain of the Subunit of Human Translation Initiation Factor eIF2B

    SciTech Connect (OSTI)

    Wei, J.; Jia, M; Zheng, C; Wang, M; Gao, F; Xu, H; Gong, W

    2010-01-01

    Eukaryotic translation initiation factor eIF2B, the guanine nucleotide exchange factor (GEF) for eIF2, catalyzes conversion of eIF2 {center_dot} GDP to eIF2 {center_dot} GTP. The eIF2B is composed of five subunits, {alpha}, {beta}, {gamma}, {delta} and {var_epsilon}, within which the {var_epsilon} subunit is responsible for catalyzing the guanine exchange reaction. Here we present the crystal structure of the C-terminal domain of human eIF2B{var_epsilon} (eIF2B{var_epsilon}-CTD) at 2.0-{angstrom} resolution. The structure resembles a HEAT motif and three charge-rich areas on its surface can be identified. When compared to yeast eIF2B{var_epsilon}-CTD, one area involves highly conserved AA boxes while the other two are only partially conserved. In addition, the previously reported mutations in human eIF2B{var_epsilon}-CTD, which are related to the loss of the GEF activity and human VWM disease, have been discussed. Based on the structure, most of such mutations tend to destabilize the HEAT motif.

  6. The Role of GIS in Decision Support Systems | Department of Energy

    Office of Environmental Management (EM)

    The Role of GIS in Decision Support Systems The Role of GIS in Decision Support Systems PDF icon The Role of GIS in Decision Support Systems More Documents & Publications Microsoft Word - ITSI award doc 06-D0008 conformed to P00001.doc CX-002853: Categorical Exclusion Determination Geospatial Technology Summit

  7. Bioenergy Knowledge Discovery Framework (KDF) Fact Sheet

    SciTech Connect (OSTI)

    2013-07-29

    The Bioenergy Knowledge Discovery Framework (KDF) is an online collaboration and geospatial analysis tool that allows researchers, policymakers, and investors to explore and engage the latest bioenergy research. This publication describes how the KDF harnesses Web 2.0 and social networking technologies to build a collective knowledge system that facilitates collaborative production, integration, and analysis of bioenergy-related information.

  8. The Adversarial Route Analysis Tool: A Web Application

    SciTech Connect (OSTI)

    Casson, William H. Jr.

    2012-08-02

    The Adversarial Route Analysis Tool is a type of Google maps for adversaries. It's a web-based Geospatial application similar to Google Maps. It helps the U.S. government plan operations that predict where an adversary might be. It's easily accessible and maintainble and it's simple to use without much training.

  9. 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

  10. DOE GIS core team - a best practice

    SciTech Connect (OSTI)

    Bollinger, J.; Bhaduri, Budhendra; Bleakly, D. R.; Brady-Sabeff, Liz; Guber, Al; Guziel, K. A.; Hargrove, Susan; Lee, J.; Lee, R.; Mickus, Kurt; Morehouse, David; Moore, K.; Ramsdell, Amy; Rich, P. M.

    2004-01-01

    Large government organizations such as the Department of Energy (DOE) are challenged with identifying and implementing best geospatial information management practices to ensure that operational needs are met and government objectives are achieved. Geographic Information System (GIS) professionals, complex wide within the Department, conduct spatial information management practices on a daily basis to complete a wide variety of science and engineering tasks. The DOE Office of the CIO recognized the wealth of geospatial information management knowledge within the DOE complex and formed the DOE GIS Core Team in 2001 as a result. The team is comprised of GIS experts-representing all major DOE labs, site facilities, and programs-who volunteer their time to address issues impacting the entire complex. These include the President's management agenda (with emphasis on the Geospatial One-Stop), homeland security, emergency response, site management, software and geospatial data licensing, and federal, national, and international standards governing the creation and dissemination of geospatial data. The strength of the DOE GIS Core Team is the wide diversity of GIS and scientific expertise represented on the team, which allows it to provide the DOE CIO's office with sound guidance on complex wide issues from a GIS practitioner's perspective. The Core Team's mission is 'to foster technical excellence and communication, to identify and advocate best business practices, and to provide sound recommendations on policy and standards.' As a first step toward identifying best practices the feam conducted a survey of all known GIS assets across the DOE complex. The survey identified each site's GIS expertise, operating systems architecture and software applications, major project areas supported, and a number of other metrics important to the operation of a GIS organization. Results of the survey will be discussed, along with the mission of the Core Team. A broad overview of best practices utilized by many of the leading GIS organizations across the complex will also be provided.

  11. PANTHER. Pattern ANalytics To support High-performance Exploitation and Reasoning.

    SciTech Connect (OSTI)

    Czuchlewski, Kristina Rodriguez; Hart, William E.

    2015-09-01

    Sandia has approached the analysis of big datasets with an integrated methodology that uses computer science, image processing, and human factors to exploit critical patterns and relationships in large datasets despite the variety and rapidity of information. The work is part of a three-year LDRD Grand Challenge called PANTHER (Pattern ANalytics To support High-performance Exploitation and Reasoning). To maximize data analysis capability, Sandia pursued scientific advances across three key technical domains: (1) geospatial-temporal feature extraction via image segmentation and classification; (2) geospatial-temporal analysis capabilities tailored to identify and process new signatures more efficiently; and (3) domain- relevant models of human perception and cognition informing the design of analytic systems. Our integrated results include advances in geographical information systems (GIS) in which we discover activity patterns in noisy, spatial-temporal datasets using geospatial-temporal semantic graphs. We employed computational geometry and machine learning to allow us to extract and predict spatial-temporal patterns and outliers from large aircraft and maritime trajectory datasets. We automatically extracted static and ephemeral features from real, noisy synthetic aperture radar imagery for ingestion into a geospatial-temporal semantic graph. We worked with analysts and investigated analytic workflows to (1) determine how experiential knowledge evolves and is deployed in high-demand, high-throughput visual search workflows, and (2) better understand visual search performance and attention. Through PANTHER, Sandia's fundamental rethinking of key aspects of geospatial data analysis permits the extraction of much richer information from large amounts of data. The project results enable analysts to examine mountains of historical and current data that would otherwise go untouched, while also gaining meaningful, measurable, and defensible insights into overlooked relationships and patterns. The capability is directly relevant to the nation's nonproliferation remote-sensing activities and has broad national security applications for military and intelligence- gathering organizations.

  12. Assessment of fission product yields data needs in nuclear reactor applications

    SciTech Connect (OSTI)

    Kern, K.; Becker, M.; Broeders, C.

    2012-07-01

    Studies on the build-up of fission products in fast reactors have been performed, with particular emphasis on the effects related to the physics of the nuclear fission process. Fission product yields, which are required for burn-up calculations, depend on the proton and neutron number of the target nucleus as well as on the incident neutron energy. Evaluated nuclear data on fission product yields are available for all relevant target nuclides in reactor applications. However, the description of their energy dependence in evaluated data is still rather rudimentary, which is due to the lack of experimental fast fission data and reliable physical models. Additionally, physics studies of evaluated JEFF-3.1.1 fission yields data have shown potential improvements, especially for various fast fission data sets of this evaluation. In recent years, important progress in the understanding of the fission process has been made, and advanced model codes are currently being developed. This paper deals with the semi-empirical approach to the description of the fission process, which is used in the GEF code being developed by K.-H. Schmidt and B. Jurado on behalf of the OECD Nuclear Energy Agency, and with results from the corresponding author's diploma thesis. An extended version of the GEF code, supporting the calculation of spectrum weighted fission product yields, has been developed. It has been applied to the calculation of fission product yields in the fission rate spectra of a MOX fuelled sodium-cooled fast reactor. Important results are compared to JEFF-3.1.1 data and discussed in this paper. (authors)

  13. The PANTHER User Experience

    SciTech Connect (OSTI)

    Coram, Jamie L.; Morrow, James D.; Perkins, David Nikolaus

    2015-09-01

    This document describes the PANTHER R&D Application, a proof-of-concept user interface application developed under the PANTHER Grand Challenge LDRD. The purpose of the application is to explore interaction models for graph analytics, drive algorithmic improvements from an end-user point of view, and support demonstration of PANTHER technologies to potential customers. The R&D Application implements a graph-centric interaction model that exposes analysts to the algorithms contained within the GeoGraphy graph analytics library. Users define geospatial-temporal semantic graph queries by constructing search templates based on nodes, edges, and the constraints among them. Users then analyze the results of the queries using both geo-spatial and temporal visualizations. Development of this application has made user experience an explicit driver for project and algorithmic level decisions that will affect how analysts one day make use of PANTHER technologies.

  14. Distributed Object Oriented Geographic Information System

    Energy Science and Technology Software Center (OSTI)

    1997-02-01

    This interactive, object-oriented, distributed Geographic Information System (GIS) uses the World Wibe Web (WWW) as application medium and distribution mechanism. The software provides distributed access to multiple geo-spatial databases and presents them as if they came from a single coherent database. DOOGIS distributed access comes not only in the form of multiple geo-spatial servers but can break down a single logical server into the constituent physical servers actually storing the data. The program provides formore » dynamic protocol resolution and content handling allowing unknown objects from a particular server to download their handling code. Security and access privileges are negotiated dynamically with each server contacted and each access attempt.« less

  15. Method for spatially distributing a population

    DOE Patents [OSTI]

    Bright, Edward A [Knoxville, TN; Bhaduri, Budhendra L [Knoxville, TN; Coleman, Phillip R [Knoxville, TN; Dobson, Jerome E [Lawrence, KS

    2007-07-24

    A process for spatially distributing a population count within a geographically defined area can include the steps of logically correlating land usages apparent from a geographically defined area to geospatial features in the geographically defined area and allocating portions of the population count to regions of the geographically defined area having the land usages, according to the logical correlation. The process can also include weighing the logical correlation for determining the allocation of portions of the population count and storing the allocated portions within a searchable data store. The logically correlating step can include the step of logically correlating time-based land usages to geospatial features of the geographically defined area. The process can also include obtaining a population count for the geographically defined area, organizing the geographically defined area into a plurality of sectors, and verifying the allocated portions according to direct observation.

  16. National Air & Space Intelligence Center Holds Program About Empowering

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

    Women in the Workplace | Department of Energy Dot Harris, Director of the Office of Economic Impact and Diversity, speaks with Aurea Rivera, President and CEO of Imagineering Results Analysis Corp., Kathleen Tucker, Director of the Information Exploitation Squadron, Global Exploitation Intelligence Group, NAISC, and Ann Carbonell, Chief of the National Geospatial Intelligence Agency Support Team in September 2013. Photo by National Air and Space Intelligence Center. Dot Harris, Director of

  17. Geographic Information System Tools for Management of US DOE Sites - 13489

    SciTech Connect (OSTI)

    Carpenter, Cliff; Pilz, Elaine; Pawel, Steve

    2013-07-01

    The DOE Office of Legacy Management (LM) uses a variety of GIS tools to support long-term surveillance and maintenance (LTS and M) activities at DOE closure sites. These geo-spatial applications provide access to data both for external public viewing and for internal analysis and decision making. LM uses a custom geo-spatial application called geo-spatial Environmental Mapping System (GEMS) that draws validated information from a database of 4.6 million analytical results and 232,000 water level measurements for 58 LTS and M sites. These data were collected from transferred sites over a period of 40 years. The database is used to capture and store historical environmental information such as analytical chemistry data, groundwater depths and elevations, well logs, well construction data, geo-referenced boundaries, site physical features, and sampling locations from LTS and M sites. Stakeholders, regulators, and project personnel can use this Web-based application and data to display information in several forms, such as a tabular report, a graph, and a geo-spatial display, or the data can be labeled or highlighted in a map view. Institutional controls, with their LTS and M requirements and documentation, have recently been incorporated into a prototype GEMS Web page for the Weldon Spring, Missouri, Site. LM uses multiple internal GIS viewers to help ensure the future protection of human health and the environment. For example, at the Rocky Flats, Colorado, Site, LM uses a GIS application to display real property interests on authoritative maps. Another project is used to facilitate discussions at stakeholder meetings for the Rocky Flats site's Original Landfill. The Uranium Leasing Program uses multiple interactive maps that assist in ongoing monitoring and the oversight of lease-holders' activities. (authors)

  18. Albany, OR * Archorage, AK * Morgantown, WV * Pittsburgh, PA * Sugar Land, TX

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

    CONTACTS OFFICE OF RESEARCH AND DEVELOPMENT Kelly Rose Principal Investigator Research Physical Scientist 541-967-5883 kelly.rose@netl.doe.gov Jennifer Bauer Geospatial Researcher 541-918-4507 jennifer.bauer@contr.netl.doe.gov Cynthia Powell Acting Focus Area Lead 541-967-5803 cynthia.powell@netl.doe.gov RESEARCH PARTNERS AECOM ORISE Oregon State University Pacific Northwest National Laboratory Spatio-Temporal Tools & Geostatistical Approaches for Engineered-Natural Systems Risk Reduction

  19. Program Update: 2nd Quarter 2013 | Department of Energy

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

    3 Program Update: 2nd Quarter 2013 Inside this Update: Blue Star Memorial By-Way Dedication: Weldon Spring Interpretive Center; LM Progressing with Uranium Mines Report to Congress; Next Generation (NextGen) Geospatial Information System (GIS); State and Tribal Government Working Group Visits the Fernald Preserve; Lakeview GCAP Acceptance; LM Support Services Contract Extended; Release of American Burying Beetles at the Fernald Preserve; Electronic Equipment Donated to Elementary Schools on Hopi

  20. kelly rose | netl.doe.gov

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

    kelly rose kelly-rose.jpg Renaissance woman Kelly Rose fulfills many roles at NETL. She is a research scientist, lead for the Geology & Geospatial Team, Technical Coordinator for Offshore Energy Resources Research Portfolio, coordinator and systems integrator for NETL's EDX (Energy Data eXchange), and a member of NETL's SFIRE group (Synergistic Fossil Integration for Renewable Energy). Outside of NETL, she serves on advisory committees including the United Nations Environmental Programme's

  1. Renewable Energy Economic Potential

    Broader source: Energy.gov [DOE]

    The report describes a geospatial analysis method to estimate the economic potential of several renewable resources available for electricity generation in the United States. Economic potential, one measure of renewable generation potential, is defined in this report as the subset of the available resource technical potential where the cost required to generate the electricity (which determines the minimum revenue requirements for development of the resource) is below the revenue available in terms of displaced energy and displaced capacity.

  2. NREL: Dynamic Maps, GIS Data, and Analysis Tools - Federal Energy

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

    Management Program (FEMP) Maps Federal Energy Management Program The Federal Energy Management Program (FEMP) teamed with Geospatial Analysis staff at NREL to update the analysis for this project and created an interactive FEMP Screening Map application. The previous maps have been archived. If you have a need for one of the archived maps, please contact the Webmaster. This new application examines the viability of three solar technologies in the United States with a high-level annualized

  3. NREL: Dynamic Maps, GIS Data, and Analysis Tools - Maps

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

    Bookmark and Share Maps NREL's Geospatial Data Science Team develops maps for various renewable resources and for specific projects. As a benefit to the public, a majority of static maps are offered and Google Map (KML/KMZ) files on a tool called MapSearch. Biomass Maps Maps showing the biomass resources available in the United States by county. Feedstock categories include crop residues; forest residues; primary and secondary mill residues; urban wood waste; and methane emissions from manure

  4. NREL: Dynamic Maps, GIS Data, and Analysis Tools - Renewable Energy

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

    Economic Potential Economic Potential Types of Renewable Generation Potential An image of a overlapping circles labelled Resource, Technical, Economic, and Market Potential that include the key assumptions for each segment on a bullet list inside it. Enlarge image The report Estimating Renewable Energy Economic Potential in the United States: Methodology and Initial Results describes a geospatial analysis method to estimate the economic potential of several renewable resources available for

  5. NREL: Dynamic Maps, GIS Data, and Analysis Tools - Wind Maps

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

    Additional Resources Wind Prospector A web-based GIS applications designed to support resource assessment and data exploration associated with wind development. Wind Maps NREL's Geospatial Data Science Team offers both a national wind resource assessment of the United States and high-resolution wind data. The national wind resource assessment was created for the U.S. Department of Energy in 1986 by the Pacific Northwest Laboratory and is documented in the Wind Energy Resource Atlas of the United

  6. NREL: Energy Analysis - Anelia Milbrandt

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

    Anelia Milbrandt Photo of Anelia Milbrandt. Anelia Milbrandt is a member of the Technology Systems and Sustainability Analysis Group in the Strategic Energy Analysis Center. She is also a member of the NREL International Studies Team. Senior Energy Resources Analyst On staff since 2003 Phone number: 303-275-4633 Email: anelia.milbrandt@nrel.gov Areas of expertise Biomass resource assessment Geospatial modeling and analysis Integrated resource, infrastructure, and market analysis Primary research

  7. NREL: Energy Analysis - Anthony Lopez

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

    Anthony Lopez Photo of Anthony Lopez Anthony Lopez is the section supervisor of the Data Analysis and Visualization Group in the Strategic Energy Analysis Center. GIS Scientist IV - Section Supervisor On staff since April 2009 Phone number: 303-275-3654 E-mail: anthony.lopez@nrel.gov Areas of expertise Spatial Database Design and Utilization High Performance Computing Parallel Processing and Analysis of Large Geospatial Datasets Visualization of Complex Spatial-Temporal Datasets Renewable

  8. NREL: Energy Analysis - Data Analysis and Visualization Staff

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

    Data Analysis and Visualization Group The following includes summary bios of staff expertise and interests in analysis relating to geospatial analytics and integrated resource assessment; our energy efficiency and renewable energy data warehouse; advanced visualization; and market enabling applications. Team Lead: Ann H. Brennan Administrative Support: Elizabeth Torres Jørn Aabakken Michael Bahl Debbie Brodt-Giles Trish Cozart Jon Duckworth Rob Eger Michael Gleason Pamela Gray-Hann Nick Grue

  9. NREL: Energy Analysis - Jessica Katz

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

    Jessica Katz Photo of Jessica Katz Jessica Katz is a member of the Market and Policy Impact Group in the Strategic Energy Analysis Center. Analyst On staff since 2009 Phone number: 303-275-4330 E-mail: Jessica.Katz@nrel.gov Areas of expertise Low emission development strategies Greenhouse gas accounting and mitigation analysis Primary research interests Grid integration of variable renewable energy Application of renewable energy resource assessment and geospatial mapping to inform clean energy

  10. NREL: Energy Analysis - Michael Gleason

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

    Gleason Michael Gleason is a member of the Data Analysis and Visualization Group in the Strategic Energy Analysis Center. Scientist III - GIS On staff since April 2014 Phone number: 303-275-4109 E-mail: Michael.Gleason@nrel.gov Areas of expertise Geospatial analysis and modeling Scientific programming Multivariate data visualization Technical writing and editing Primary research interests Modeling technical resource potential for renewable technologies Modeling market diffusion of distributed

  11. NREL: Energy Analysis - Nick Langle

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

    Langle Photo of Nick Langle. Nick Langle is a member of the Data Analysis and Visualization Group in the Strategic Energy Analysis Center. Front End Web Engineer On staff since July 2010 Phone number: 303-275-3775 E-mail: nicholas.langle@nrel.gov Areas of expertise HTML / CSS / Javascript / jQuery UI / UX Responsive Web Design Semantic MediaWiki SEO Primary research interests Web Design & Usability Data Visualization & Analytics Geospatial Analysis Transportation & Alternative Fuels

  12. NREL: Energy Analysis: Resource Assessment

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

    Resource Assessment NREL has developed maps and tools to conduct renewable energy resource assessments at the state, national and international level. Around the world, interest is growing in renewable energy as a strategy to mitigate greenhouse gas emissions and increase energy security. The starting point for new renewable energy projects is a characterization of the renewable resources available across a region, a resource assessment. NREL uses geospatial data sets to identify regions that

  13. NREL: International Activities - Philippines Wind Resource Maps and Data

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

    A map depicting wind resources at 100 meters of the republic of the Philippines. Additional Resources Wind Prospector A web-based GIS applications designed to support resource assessment and data exploration associated with wind development. Philippines Wind Viewer Tutorial Learn how to navigate, display, query and download Philippines data in the Wind Prospector. Philippines Geospatial Toolkit EXE 926.5 MB Philippines Wind Resource Maps and Data In 2014, under the Enhancing Capacity for Low

  14. Bioenergy Knowledge Discovery Framework (KDF)

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

    DOE Bioenergy Technologies Office (BETO) 2015 Project Peer Review Bioenergy Knowledge Discovery Framework (KDF) April 1, 2015 Analysis & Sustainability Aaron Myers Oak Ridge National Laboratory This presentation does not contain any proprietary, confidential, or otherwise restricted information Managed by UT-Battelle for the Department of Energy Goal Statement  Creation and enhancement of geo-spatial, temporal decision support system to connect researchers, industry, and sponsors to share

  15. The Bioenergy Knowledge Discovery Framework (KDF) | Department of Energy

    Energy Savers [EERE]

    The Bioenergy Knowledge Discovery Framework (KDF) The Bioenergy Knowledge Discovery Framework (KDF) The Bioenergy Knowledge Discovery Framework (KDF) is an online collaboration and geospatial analysis tool that allows researchers, policymakers, and investors to explore and engage the latest bioenergy research. The KDF harnesses Web 2.0 and social networking technologies to build a collective knowledge system that facilitates collaborative production, integration, and analysis of

  16. EERE Webinar: The Economic Potential of Renewable Power | Department of

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

    Energy EERE Webinar: The Economic Potential of Renewable Power EERE Webinar: The Economic Potential of Renewable Power September 1, 2015 11:00AM to 12:00PM MDT Please join the Office of Energy Efficiency and Renewable Energy for a webinar discussing their recent report analyzing the economic potential of renewable power in the United States. Estimating Renewable Energy Economic Potential in the United States: Methodology and Initial Results describes a geospatial analysis method to estimate

  17. New Stream-Reach Hydropower Development Fact Sheet | Department of Energy

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

    New Stream-Reach Hydropower Development Fact Sheet New Stream-Reach Hydropower Development Fact Sheet New Stream-Reach Hydropower Development Fact Sheet Funded by the Department of Energy and executed by Oak Ridge National Laboratory, the New Stream-reach Development (NSD) project implemented an advanced geo-spatial approach to analyze the potential for new hydropower development in U.S. stream-reaches that do not currently have hydroelectric facilities or other forms of infrastructure. PDF icon

  18. Second generation sodium heat pipe receiver for a USAB V-160 Stirling engine: Evaluation of on-sun test results using the proposed IEA guidelines and analysis of heat pipe damage

    SciTech Connect (OSTI)

    Laing, D.; Traebing, C.

    1997-11-01

    Dish/Stirling technology has demonstrated the highest conversion efficiencies of all solar thermal conversion systems. At the DLR a second generation sodium heat pipe receiver for the Schlaich Bergermann und Partner (SBP) 9-kW{sub e} dish/Stirling system has been developed and constructed. Long-term operation occurred from Oct. 1992 until Aug. 1993 at the Plataforma Solar de Almeria (PSA) in Spain, accumulating 950 operating hours. The performance of the SBP 9-kW{sub e} system with a sodium heat pipe receiver is evaluated according to the guidelines for dish/Stirling performance evaluation by Stine and Powel, as proposed to the International Energy Agency (IEA). Tests were stopped due to a leak in the receiver absorber surface. The analysis of this damage is reported.

  19. A cascaded model of spectral distortions due to spectral response effects and pulse pileup effects in a photon-counting x-ray detector for CT

    SciTech Connect (OSTI)

    Cammin, Jochen E-mail: ktaguchi@jhmi.edu; Taguchi, Katsuyuki E-mail: ktaguchi@jhmi.edu; Xu, Jennifer; Barber, William C.; Iwanczyk, Jan S.; Hartsough, Neal E.

    2014-04-15

    Purpose: Energy discriminating, photon-counting detectors (PCDs) are an emerging technology for computed tomography (CT) with various potential benefits for clinical CT. The photon energies measured by PCDs can be distorted due to the interactions of a photon with the detector and the interaction of multiple coincident photons. These effects result in distorted recorded x-ray spectra which may lead to artifacts in reconstructed CT images and inaccuracies in tissue identification. Model-based compensation techniques have the potential to account for the distortion effects. This approach requires only a small number of parameters and is applicable to a wide range of spectra and count rates, but it needs an accurate model of the spectral distortions occurring in PCDs. The purpose of this study was to develop a model of those spectral distortions and to evaluate the model using a PCD (model DXMCT-1; DxRay, Inc., Northridge, CA) and various x-ray spectra in a wide range of count rates. Methods: The authors hypothesize that the complex phenomena of spectral distortions can be modeled by: (1) separating them into count-rate independent factors that we call the spectral response effects (SRE), and count-rate dependent factors that we call the pulse pileup effects (PPE), (2) developing separate models for SRE and PPE, and (3) cascading the SRE and PPE models into a combined SRE+PPE model that describes PCD distortions at both low and high count rates. The SRE model describes the probability distribution of the recorded spectrum, with a photo peak and a continuum tail, given the incident photon energy. Model parameters were obtained from calibration measurements with three radioisotopes and then interpolated linearly for other energies. The PPE model used was developed in the authors previous work [K. Taguchi et al., Modeling the performance of a photon counting x-ray detector for CT: Energy response and pulse pileup effects, Med. Phys. 38(2), 10891102 (2011)]. The agreement between the x-ray spectra calculated by the cascaded SRE+PPE model and the measured spectra was evaluated for various levels of deadtime loss ratios (DLR) and incident spectral shapes, realized using different attenuators, in terms of the weighted coefficient of variation (COV{sub W}), i.e., the root mean square difference weighted by the statistical errors of the data and divided by the mean. Results: At low count rates, when DLR < 10%, the distorted spectra measured by the DXMCT-1 were in agreement with those calculated by SRE only, with COV{sub W}'s less than 4%. At higher count rates, the measured spectra were also in agreement with the ones calculated by the cascaded SRE+PPE model; with PMMA as attenuator, COV{sub W} was 5.6% at a DLR of 22% and as small as 6.7% for a DLR as high as 55%. Conclusions: The x-ray spectra calculated by the proposed model agreed with the measured spectra over a wide range of count rates and spectral shapes. The SRE model predicted the distorted, recorded spectra with low count rates over various types and thicknesses of attenuators. The study also validated the hypothesis that the complex spectral distortions in a PCD can be adequately modeled by cascading the count-rate independent SRE and the count-rate dependent PPE.

  20. Satellite-based snow identification and its impact on monitoring photovoltaic systems

    SciTech Connect (OSTI)

    Wirth, Georg; Zehner, Mike; Becker, Gerd [University of Applied Sciences - Munich, Department of Electrical Engineering, Solar Technology Laboratory, Lothstrasse. 64, 80323 Munich (Germany); Schroedter-Homscheidt, Marion [German Aerospace Center (DLR), German Remote Sensing Data Center (DFD), Oberpfaffenhofen, P.O. Box 1116, 82234 Wessling (Germany)

    2010-02-15

    Earth observation allows the separation of snow cover and cloudiness using multispectral measurements. Several satellite-based snow monitoring services are available, ranging from regional to world-wide scales. Using these data enables photovoltaic (PV) plant management to differentiate between failures due to snow coverage on a PV system and other error sources. Additionally, yield estimates for solar siting are improved. This paper presents a validation study from January to April 2006 comparing satellite-based datasets with ground measurements from German and Swiss meteorological stations. A false alarm rate, an error due to irradiance underestimation, the availability of daily data, and the classification accuracy are introduced as quality metrics. Compared to Switzerland, generally a higher accuracy is found in all datasets for Southern Germany. The most significant difference among the datasets is found in the error pattern shifting from too much snow (which results in an error due to underestimation of irradiance) to too little snow detection, causing a false alarm in PV monitoring. Overall, the data records of the Land Surface Analysis Satellite Application Facility (LSA SAF), the German Aerospace Center (DLR) and the Interactive Multisensor Snow and Ice Mapping System (IMS) are found to be most suitable for solar energy purposes. The IMS dataset has a low false alarm rate (4%) and a good data availability (100%) making it a good choice for power plant monitoring, but the error due to underestimation relevant in site auditing is large with 59%. If a cumulative snow cover algorithm is applied to achieve information every day as needed both for power plant monitoring and site auditing, both the DLR and the LSA SAF datasets are comparable with classification accuracies of 70%, false alarm rates of 37% and 34%, respectively, and errors due to irradiance underestimation in 26% and 27% of all coincidences. (author)

  1. Digital Mapping and Environmental Characterization of National Wild and Scenic River Systems

    SciTech Connect (OSTI)

    McManamay, Ryan A; Bosnall, Peter; Hetrick, Shelaine L; Smith, Brennan T

    2013-09-01

    Spatially accurate geospatial information is required to support decision-making regarding sustainable future hydropower development. Under a memorandum of understanding among several federal agencies, a pilot study was conducted to map a subset of National Wild and Scenic Rivers (WSRs) at a higher resolution and provide a consistent methodology for mapping WSRs across the United States and across agency jurisdictions. A subset of rivers (segments falling under the jurisdiction of the National Park Service) were mapped at a high resolution using the National Hydrography Dataset (NHD). The spatial extent and representation of river segments mapped at NHD scale were compared with the prevailing geospatial coverage mapped at a coarser scale. Accurately digitized river segments were linked to environmental attribution datasets housed within the Oak Ridge National Laboratory s National Hydropower Asset Assessment Program database to characterize the environmental context of WSR segments. The results suggest that both the spatial scale of hydrography datasets and the adherence to written policy descriptions are critical to accurately mapping WSRs. The environmental characterization provided information to deduce generalized trends in either the uniqueness or the commonness of environmental variables associated with WSRs. Although WSRs occur in a wide range of human-modified landscapes, environmental data layers suggest that they provide habitats important to terrestrial and aquatic organisms and recreation important to humans. Ultimately, the research findings herein suggest that there is a need for accurate, consistent, mapping of the National WSRs across the agencies responsible for administering each river. Geospatial applications examining potential landscape and energy development require accurate sources of information, such as data layers that portray realistic spatial representations.

  2. Framework for an Information Visualization System

    Energy Science and Technology Software Center (OSTI)

    2006-08-11

    The Program is a suite of Windows-based software applications and services for ingesting, storing, and analyzing large quantities of disparate inforamtion. The software supports the ingestion and storage of any information that can be represented in eXtensible Markup Language (XML) format. Stored information can be subsequently retrieved via search operations, then "visualized" in multiple ways using a client application that supports a variety of analytical functions. Visualization capabilities include tools for depicting a variety ofmore » relationships that may be present in the information, including geospatial, temporal, topical, categorical, and network relationships.« less

  3. QER- Comment of John R. Schmidt

    Broader source: Energy.gov [DOE]

    "Quadrennial Energy Review: Comment on the Public Meeting "Enhancing Infrastructure Resiliency," held April 11, 2014, Washington, DC". Why would this meeting not be conducted live onLine? or, at least, recorded for later access. Thank you, sincerely, john r schmidt, master (lover) of Science understanding GOD president, NCAD Corporation www.NCAD.net owner, schmidtPro www.schmidtPro.com dedicated River-straddler Erlanger, KY 41018 Cincinnati, OH 45202-0931 computer engineering Network Communications Geospatial Integrative Service Business engineering schmidtPro professional green improv improving earth and health for better world earth Model Do http://emoDo.net

  4. MAp GENeralization COntroller

    Energy Science and Technology Software Center (OSTI)

    1995-02-24

    MAGENCO is a geographic information systems (GIS) tool for managing geospatial data. It assists in choosing an appropriate level of cartographic simplification (removal of vertices while preserving line character). While an effective algorithm for this task exists (Douglas-Peucker, published in 1973), the tolerance parameter depends on the fractal dimension or the natural or manmade feature, the scale of mapping, and the uses to which the data will be put. It is thus necessary to iterativelymore » test different parameters until an acceptable one is found.« less

  5. Analyst-Driven Knowledge Enhancement & Analysis version 1.0

    Energy Science and Technology Software Center (OSTI)

    2008-06-27

    AKEA provides tools for the creation, maintenance, visualization, and analysis of information expressed in semantic graph form. It is capable of taking information expressed in unstructured text documents or structured data documents (e.g., spreadsheets, databases), ingesting it and extracting entities and relationships of interest, then presenting said information in graphical form. In addition, it contains tools for applying traditional social network analysis algorithms to the generated graphs in order to identify key players or entitiesmore » with particular characteristics, geospatial and temporal visualization of said data, and user-controlled storage of information to support future analysis needs.« less

  6. The Oncor Geodatabase for the Columbia Estuary Ecosystem Restoration Program: Annual Report, 2012

    SciTech Connect (OSTI)

    Coleman, Andre M.; Johnson, Gary E.; Borde, Amy B.; Diefenderfer, Heida L.; Sather, Nichole K.; Seiple, Timothy E.; Serkowski, John A.

    2013-11-10

    Pacific Northwest National Laboratory (PNNL) conducted this project for the U.S. Army Corps of Engineers, Portland District (Corps). The purpose of the project is to develop a geospatial, web-accessible database (called Oncor) for action effectiveness and related data from monitoring and research efforts for the Columbia Estuary Ecosystem Restoration Program (CEERP). The intent is for the Oncor database to enable synthesis and evaluation, the results of which can then be applied in subsequent CEERP decision-making. This is the first annual report in what is expected to be a 3- to 4-year project, which commenced on February 14, 2012.

  7. Analyst-Driven Knowledge Enhancement & Analysis version 1.0

    SciTech Connect (OSTI)

    2008-06-27

    AKEA provides tools for the creation, maintenance, visualization, and analysis of information expressed in semantic graph form. It is capable of taking information expressed in unstructured text documents or structured data documents (e.g., spreadsheets, databases), ingesting it and extracting entities and relationships of interest, then presenting said information in graphical form. In addition, it contains tools for applying traditional social network analysis algorithms to the generated graphs in order to identify key players or entities with particular characteristics, geospatial and temporal visualization of said data, and user-controlled storage of information to support future analysis needs.

  8. Broad area search for regions and objects of interest

    SciTech Connect (OSTI)

    Skurikhin, Alexei N; Pope, Paul A

    2011-01-12

    A quad chart provides an overview on the on-going project 'Broad Area Search for Regions and Objects of Interest' funded by the DOE Office of Nonproliferation and Verification Research and Development. Specifically, the quad chart shows: (1) Project title 'Broad Area Search for Regions and Objects of Interest'; (2) PI and Co-investigators; (3) Concept Panel outlining the project's approach built upon front-end scale-space image analysis; (4) Technical Challenges posed by the project, such as robustness, non-conformities, disparate spatial configuration and weak correlation between presence of objects of interest and low-level description of the surrounding geospatial background; and (5) Planned Accomplishment.

  9. Demand-Side Response from Industrial Loads

    SciTech Connect (OSTI)

    Starke, Michael R; Alkadi, Nasr E; Letto, Daryl; Johnson, Brandon; Dowling, Kevin; George, Raoule; Khan, Saqib

    2013-01-01

    Through a research study funded by the Department of Energy, Smart Grid solutions company ENBALA Power Networks along with the Oak Ridge National Laboratory (ORNL) have geospatially quantified the potential flexibility within industrial loads to leverage their inherent process storage to help support the management of the electricity grid. The study found that there is an excess of 12 GW of demand-side load flexibility available in a select list of top industrial facilities in the United States. Future studies will expand on this quantity of flexibility as more in-depth analysis of different industries is conducted and demonstrations are completed.

  10. The Oncor Geodatabase for the Columbia Estuary Ecosystem Restoration Program: Handbook of Data Reduction Procedures, Workbooks, and Exchange Templates

    SciTech Connect (OSTI)

    Sather, Nichole K.; Borde, Amy B.; Diefenderfer, Heida L.; Serkowski, John A.; Coleman, Andre M.; Johnson, Gary E.

    2013-12-31

    This Handbook of Data Reduction Procedures, Workbooks, and Exchange Templates is designed to support the Oncor geodatabase for the Columbia Estuary Ecosystem Restoration Program (CEERP). The following data categories are covered: water-surface elevation and temperature, sediment accretion rate, photo points, herbaceous wetland vegetation cover, tree plots and site summaries, fish catch and density, fish size, fish diet, fish prey, and Chinook salmon genetic stock identification. The handbook is intended for use by scientists collecting monitoring and research data for the CEERP. The ultimate goal of Oncor is to provide quality, easily accessible, geospatial data for synthesis and evaluation of the collective performance of CEERP ecosystem restoration actions at a program scale.

  11. The BNL Smarter Grid Research Strategy

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

    BNL Smarter Grid Research Strategy: Plans and Status Brookhaven National Laboratory Dr. Gerald Stokes, Global & Regional Solutions STEAB October 10,2012 Building the Smarter Grid R&D Vision  The heart of BNL's approach to grid R&D for a Smarter Grid is begins with a geospatially referenced model with access to historical and real time data and measurements.  Next, as a federal enclave, BNL has the ability to perform certain experiments and test new equipment on its grid prior

  12. Chad Rowan | netl.doe.gov

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

    Chad Rowan chad-rowan.png Chad Rowan joined NETL in the fall of 2011 to organize data and help brainstorm for the product that would one day become the Energy Data eXchange, or EDX. He joined the EDX project at its inception and has been a leader in its development ever since. His specialized background in GIS and geospatial analysis-fields that gave him a thorough grounding in data management, storing, and analysis-has been a strong asset for EDX. As the EDX Operations Manager, Chad assists

  13. Electronic Atlas Maps U.S. Renewable Energy Resources - News Releases |

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

    NREL Electronic Atlas Maps U.S. Renewable Energy Resources January 6, 2012 A new geospatial application developed by the U.S. Department of Energy's National Renewable Energy Laboratory (NREL) allows users to easily and accurately map potential renewable energy resources in the United States. The interactive tool, RE Atlas, is free to use and available online at http://maps.nrel.gov/re_atlas. "Ease of use and breadth of data make RE Atlas an excellent tool for policymakers, planners,

  14. NREL: Dynamic Maps, GIS Data, and Analysis Tools - International Maps

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

    International Maps Below are some examples of how geographic information system (GIS) modeling is used in international resource analyses. The JPG images are samples of the maps available. Refer to the Geospatial Toolkits for further information. Map of the Republic of the Philippines Wind Speed at 100m Map of Republic of the Philippines Wind Power Density at 80m Map of Flat Plate Tilted at Latitude Resource of China Map of Republic of the Philippines Wind Speed at 100m JPG 6,336 KB Map of

  15. NREL: Dynamic Maps, GIS Data, and Analysis Tools - MapSearch

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

    Bookmark and Share MapSearch MapSearch Logo is a computer monitor with a magnifying glass suspended in the air before it. Use our MapSearch to easily search our collection of maps created by the Geospatial Data Science Team. Please use the search box and the filters on the left of the screen to limit results. June 2013 - The NREL GIS team released a new version of the Mapsearch tool. This new version should eliminate some of the browser issues experienced with the previous tool. This latest

  16. NREL: Energy Analysis - Nick Grue

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

    Nick Grue Nick Grue is a member of the Data Analysis and Visualization Group in the Strategic Energy Analysis Center. Scientist II - GIS On staff since June 2014 Phone number: 303-384-7278 E-mail: nick.grue@nrel.gov Areas of expertise Geospatial analysis Web GIS Primary research interests Open source energy data Web visualization of energy data Renewable energy policy Education and background training B.A. in Geography and Environmental Science, University of Colorado at Denver, Denver, CO, 2012

  17. Analyst-Driven Knowledge Enhancement & Analysis version 1.0

    Energy Science and Technology Software Center (OSTI)

    2008-06-27

    AKEA provides tools for the creation, maintenance, visualization, and analysis of information expressed in semantic graph form. It is capable of taking information expressed in unstructured text documents or structured data documents (e.g., spreadsheets, databases), ingesting it and extracting entities and relationships of interest, then presenting said information in graphical form. In addition, it contains tools for applying traditional social network analysis algorithms to the generated graphs in order to identify key players or entitiesmorewith particular characteristics, geospatial and temporal visualization of said data, and user-controlled storage of information to support future analysis needs.less

  18. Ocean Thermal Extractable Energy Visualization

    SciTech Connect (OSTI)

    Ascari, Matthew

    2012-10-28

    The Ocean Thermal Extractable Energy Visualization (OTEEV) project focuses on assessing the Maximum Practicably Extractable Energy (MPEE) from the world’s ocean thermal resources. MPEE is defined as being sustainable and technically feasible, given today’s state-of-the-art ocean energy technology. Under this project the OTEEV team developed a comprehensive Geospatial Information System (GIS) dataset and software tool, and used the tool to provide a meaningful assessment of MPEE from the global and domestic U.S. ocean thermal resources.

  19. Energy Emergency Energy Emergency Preparedness Quarterly Preparedness Quarterly

    Office of Environmental Management (EM)

    2 A P R I L 1 5 , 2 0 1 2 U.S. DEPARTMENT OF ENERGY In January, OE's energy infrastructure monitoring capability was offically given the name Environment for Analysis of Geo-Located Energy Information (EAGLE-I). Through EAGLE-I, OE's Infrastructure Security and Energy Restoration (ISER) division has developed the capability to monitor the Nation's energy infrastructure in near real-time and to geospatially map energy assets and systems, tying together a variety of data sources into one

  20. Structural Evidence for a Sequential Release Mechanism for Activation of Heterotrimeric G Proteins

    SciTech Connect (OSTI)

    Kapoor, Neeraj; Menon, Santosh T.; Chauhan, Radha; Sachdev, Pallavi; Sakmar, Thomas P.

    2010-01-12

    Heptahelical G-protein (heterotrimeric guanine nucleotide-binding protein)-coupled receptors couple to heterotrimeric G proteins to relay extracellular signals to intracellular signaling networks, but the molecular mechanism underlying guanosine 5'-diphosphate (GDP) release by the G protein {alpha}-subunit is not well understood. Amino acid substitutions in the conserved {alpha}5 helix of Gi, which extends from the C-terminal region to the nucleotide-binding pocket, cause dramatic increases in basal (receptor-independent) GDP release rates. For example, mutant G{alpha}{sub i1}-T329A shows an 18-fold increase in basal GDP release rate and, when expressed in culture, it causes a significant decrease in forskolin-stimulated cAMP accumulation. The crystal structure of G{alpha}{sub i1}-T329A {center_dot} GDP shows substantial conformational rearrangement of the switch I region and additional striking alterations of side chains lining the catalytic pocket that disrupt the Mg{sup +2} coordination sphere and dislodge bound Mg{sup +2}. We propose a 'sequential release' mechanism whereby a transient conformational change in the {alpha}5 helix alters switch I to induce GDP release. Interestingly, this mechanistic model for heterotrimeric G protein activation is similar to that suggested for the activation of the plant small G protein Rop4 by RopGEF8.

  1. Solar and Wind Energy Resource Assessment (SWERA) Data from the National Renewable Energy Library and the United Nations Environment Program (UNEP)

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

    The SWERA Programme provides easy access to credible renewable energy data to stimulate investment in, and development of, renewable energy technologies. The Solar and Wind Energy Resource Assessment (SWERA) started in 2001 to advance the large-scale use of renewable energy technologies by increasing the availability and accessibility of high-quality solar and wind resource information. SWERA began as a pilot project with funding from the Global Environment Facility (GEF) and managed by the United Nations Environment Programme's (UNEP) Division of Technology, Industry and Economics (DTIE) in collaboration with more than 25 partners around the world. With the success of the project in 13 pilot countries SWERA expanded in 2006 into a full programme. Its expanded mission is to provide high quality information on renewable energy resources for countries and regions around the world, along with the tools needed to apply these data in ways that facilitate renewable energy policies and investments.[from the SWERA Guide at http://swera.unep.net/index.php?id=sweraguide_chp1] DOE and, in particular, the National Renewable Energy Laboratory, has been a functioning partner from the beginning. NREL was part of the original technical team involved in mapping, database, and GIS activities. Solar, wind, and meteorological data for selected countries can be accessed through a variety of different tools and interfaces.

  2. Estimating Renewable Energy Economic Potential in the United States. Methodology and Initial Results

    SciTech Connect (OSTI)

    Brown, Austin; Beiter, Philipp; Heimiller, Donna; Davidson, Carolyn; Denholm, Paul; Melius, Jennifer; Lopez, Anthony; Hettinger, Dylan; Mulcahy, David; Porro, Gian

    2015-07-30

    This report describes a geospatial analysis method to estimate the economic potential of several renewable resources available for electricity generation in the United States. Economic potential, one measure of renewable generation potential, may be defined in several ways. For example, one definition might be expected revenues (based on local market prices) minus generation costs, considered over the expected lifetime of the generation asset. Another definition might be generation costs relative to a benchmark (e.g., a natural gas combined cycle plant) using assumptions of fuel prices, capital cost, and plant efficiency. Economic potential in this report is defined as the subset of the available resource technical potential where the cost required to generate the electricity (which determines the minimum revenue requirements for development of the resource) is below the revenue available in terms of displaced energy and displaced capacity. The assessment is conducted at a high geospatial resolution (more than 150,000 technology-specific sites in the continental United States) to capture the significant variation in local resource, costs, and revenue potential. This metric can be a useful screening factor for understanding the economic viability of renewable generation technologies at a specific location. In contrast to many common estimates of renewable energy potential, economic potential does not consider market dynamics, customer demand, or most policy drivers that may incent renewable energy generation.

  3. Strategy for the Identification of an INL Comprehensive Utility Corridor

    SciTech Connect (OSTI)

    John Reisenauer

    2011-05-01

    This report documents the strategy developed to identify a comprehensive utility corridor (CUC) on the Idaho National Laboratory (INL) Site. The strategy established the process for which the Campus Development Office will evaluate land management issues. It is a process that uses geographical information system geospatial technology to layer critical INL mission information in a way that thorough evaluations can be conducted and strategies developed. The objective of the CUC Project was to develop a process that could be implemented to identify potential utility corridor options for consideration. The process had to take into account all the missions occurring on the INL and other land-related issues. The process for developing a CUC strategy consists of the following four basic elements using geographical information system capabilities: 1. Development of an INL base layer map; this base layer map geospatially references all stationary geographical features on INL and sitewide information. 2. Development of current and future mission land-use need maps; this involved working with each directorate to identify current mission land use needs and future land use needs that project 30 years into the future. 3. Development of restricted and potential constraint maps; this included geospatially mapping areas such as wells, contaminated areas, firing ranges, cultural areas, ecological areas, hunting areas, easement, and grazing areas. 4. Development of state highway and power line rights of way map; this included geospatially mapping rights-of-way along existing state highways and power lines running through the INL that support INL operations. It was determined after completing and evaluating the geospatial information that the area with the least impact to INL missions was around the perimeter of the INL Site. Option 1, in this document, identifies this perimeter; however, it does not mean the entire perimeter is viable. Many places along the perimeter corridor cannot be used or are not economically viable. Specific detailed studies will need to be conducted on a case-by-case basis to clearly identify which sections along the perimeter can and cannot be used. Option 2, in this document, identifies areas along existing highways that could be a viable option. However, discussions would have to take place with the State of Idaho to use their easement as part of the corridor and mission impact would need to be evaluated if a specific request was made to the Department of Energy, Idaho Operations Office. Option 3, in this document, is a combination of Options 1 and 2. This option provides the most flexibility to minimize impacts to INL missions. As with the other two options, discussions and agreements with the State of Idaho would be needed and any specific route would need to be thoroughly evaluated for impact, implementation, and operability beyond just a strategy.

  4. INVESTIGATION OF A DYNAMIC POWER LINE RATING CONCEPT FOR IMPROVED WIND ENERGY INTEGRATION OVER COMPLEX TERRAIN

    SciTech Connect (OSTI)

    Jake P. Gentle; Kurt S Myers; Tyler B Phillips; Inanc Senocak; Phil Anderson

    2014-08-01

    Dynamic Line Rating (DLR) is a smart grid technology that allows the rating of power line to be based on real-time conductor temperature dependent on local weather conditions. In current practice overhead power lines are generally given a conservative rating based on worst case weather conditions. Using historical weather data collected over a test bed area, we demonstrate there is often additional transmission capacity not being utilized with the current static rating practice. We investigate a new dynamic line rating methodology using computational fluid dynamics (CFD) to determine wind conditions along transmission lines at dense intervals. Simulated results are used to determine conductor temperature by calculating the transient thermal response of the conductor under variable environmental conditions. In calculating the conductor temperature, we use both a calculation with steady-state assumption and a transient calculation. Under low wind conditions, steady-state assumption predicts higher conductor temperatures that could lead to curtailments, whereas transient calculations produce conductor temperatures that are significantly lower, implying the availability of additional transmission capacity.

  5. One-point fitting of the flux density produced by a heliostat

    SciTech Connect (OSTI)

    Collado, Francisco J.

    2010-04-15

    Accurate and simple models for the flux density reflected by an isolated heliostat should be one of the basic tools for the design and optimization of solar power tower systems. In this work, the ability and the accuracy of the Universidad de Zaragoza (UNIZAR) and the DLR (HFCAL) flux density models to fit actual energetic spots are checked against heliostat energetic images measured at Plataforma Solar de Almeria (PSA). Both the fully analytic models are able to acceptably fit the spot with only one-point fitting, i.e., the measured maximum flux. As a practical validation of this one-point fitting, the intercept percentage of the measured images, i.e., the percentage of the energetic spot sent by the heliostat that gets the receiver surface, is compared with the intercept calculated through the UNIZAR and HFCAL models. As main conclusions, the UNIZAR and the HFCAL models could be quite appropriate tools for the design and optimization, provided the energetic images from the heliostats to be used in the collector field were previously analyzed. Also note that the HFCAL model is much simpler and slightly more accurate than the UNIZAR model. (author)

  6. PRE-DISCOVERY OBSERVATIONS OF CoRoT-1b AND CoRoT-2b WITH THE BEST SURVEY

    SciTech Connect (OSTI)

    Rauer, H.; Erikson, A.; Kabath, P.; Hedelt, P.; Csizmadia, Sz.; Paris, P. v.; Renner, S.; Titz, R.; Voss, H.; Boer, M.; Tournois, G.; Carone, L.; Eigmueller, P.

    2010-01-15

    The Berlin Exoplanet Search Telescope (BEST) wide-angle telescope installed at the Observatoire de Haute-Provence and operated in remote control from Berlin by the Institut fuer Planetenforschung, DLR, has observed the CoRoT target fields prior to the mission. The resulting archive of stellar photometric light curves is used to search for deep transit events announced during CoRoT's alarm mode to aid in fast photometric confirmation of these events. The 'initial run' field of CoRoT (IRa01) was observed with BEST in 2006 November and December for 12 nights. The first 'long run' field (LRc01) was observed from 2005 June to September for 35 nights. After standard CCD data reduction, aperture photometry has been performed using the ISIS image subtraction method. About 30,000 light curves were obtained in each field. Transits of the first detected planets by the CoRoT mission, CoRoT-1b and CoRoT-2b, were found in archived data of the BEST survey and their light curves are presented here. Such detections provide useful information at the early stage of the organization of follow-up observations of satellite alarm-mode planet candidates. In addition, no period change was found over {approx}4 years between the first BEST observation and last available transit observations.

  7. Incident Management Preparedness and Coordination Toolkit

    Energy Science and Technology Software Center (OSTI)

    2013-04-01

    As with many professions, safety planners and first responders tend to be specialists in certain areas. To be truly useful, tools should be tailored to meet their specific needs. Thus, general software suites aimed at the professional geographic information system (GIS) community might not be the best solution for a first responder with little training in GIS terminology and techniques. On the other hand, commonly used web-based map viewers may not have the capability tomore » be customized for the planning, response, and recovery (PR&R) mission. Data formats should be open and foster easy information flow among local, state, and federal partners. Tools should be free or low-cost to address real-world budget constraints at the local level. They also need to work both with and without a network connection to be robust. The Incident Management Preparedness and Coordination Toolkit (IMPACT) can satisfy many of these needs while working in harmony with established systems at the local, state, and federal levels. The IMPACT software framework, termed the Geospatial Integrated Problem Solving Environment (GIPSE), organizes tasks, tools, and resources for the end user. It uses the concept of software wizards to both customize and extend its functionality. On the Tasks panel are a number of buttons used to initiate various operations. Similar to macros, these task buttons launch scripts that utilize the full functionality of the underlying foundational components such as the SQL spatial database and ORNL-developed map editor. The user is presented with a series of instruction pages which are implemented with HTML for interactivity. On each page are links which initiate specific actions such as creating a map showing various features. Additional tasks may be quickly programmed and added to the panel. The end user can customize the graphical interface to faciltate its use during an emergency. One of the major components of IMPACT is the ORNL Geospatial Viewer (OGV). It is used to provide various map displays for the Tasks and Maps panels. Unlike typical maps however, the OGV display is highly interactive and can be customized, automated, and animated to meet the needs of the user. It is also a means to both import and export geospatial data from or to existing GIS systems. The built-in simulation capability can be used as the basis of table-top exercises.« less

  8. Shift in the Equilibrium between On and Off States of the Allosteric Switch in Ras-GppNHp Affected by Small Molecules and Bulk Solvent Composition

    SciTech Connect (OSTI)

    Holzapfel, Genevieve; Buhrman, Greg; Mattos, Carla

    2012-08-31

    Ras GTPase cycles between its active GTP-bound form promoted by GEFs and its inactive GDP-bound form promoted by GAPs to affect the control of various cellular functions. It is becoming increasingly apparent that subtle regulation of the GTP-bound active state may occur through promotion of substates mediated by an allosteric switch mechanism that induces a disorder to order transition in switch II upon ligand binding at an allosteric site. We show with high-resolution structures that calcium acetate and either dithioerythritol (DTE) or dithiothreitol (DTT) soaked into H-Ras-GppNHp crystals in the presence of a moderate amount of poly(ethylene glycol) (PEG) can selectively shift the equilibrium to the 'on' state, where the active site appears to be poised for catalysis (calcium acetate), or to what we call the 'ordered off' state, which is associated with an anticatalytic conformation (DTE or DTT). We also show that the equilibrium is reversible in our crystals and dependent on the nature of the small molecule present. Calcium acetate binding in the allosteric site stabilizes the conformation observed in the H-Ras-GppNHp/NOR1A complex, and PEG, DTE, and DTT stabilize the anticatalytic conformation observed in the complex between the Ras homologue Ran and Importin-{beta}. The small molecules are therefore selecting biologically relevant conformations in the crystal that are sampled by the disordered switch II in the uncomplexed GTP-bound form of H-Ras. In the presence of a large amount of PEG, the ordered off conformation predominates, whereas in solution, in the absence of PEG, switch regions appear to remain disordered in what we call the off state, unable to bind DTE.

  9. Modeling the U.S. Rooftop Photovoltaics Market

    SciTech Connect (OSTI)

    Drury, E.; Denholm, P.; Margolis, R.

    2010-09-01

    Global rooftop PV markets are growing rapidly, fueled by a combination of declining PV prices and several policy-based incentives. The future growth, and size, of the rooftop market is highly dependent on continued PV cost reductions, financing options, net metering policy, carbon prices and future incentives. Several PV market penetration models, sharing a similar structure and methodology, have been developed over the last decade to quantify the impacts of these factors on market growth. This study uses a geospatially rich, bottom-up, PV market penetration model--the Solar Deployment Systems (SolarDS) model developed by the National Renewable Energy Laboratory--to explore key market and policy-based drivers for residential and commercial rooftop PV markets. The identified drivers include a range of options from traditional incentives, to attractive customer financing options, to net metering and carbon policy.

  10. Renewable Energy Atlas of the United States

    SciTech Connect (OSTI)

    Kuiper, J.; Hlava, K.; Greenwood, H.; Carr, A.

    2013-12-13

    The Renewable Energy Atlas (Atlas) of the United States is a compilation of geospatial data focused on renewable energy resources, federal land ownership, and base map reference information. This report explains how to add the Atlas to your computer and install the associated software. The report also includes: A description of each of the components of the Atlas; Lists of the Geographic Information System (GIS) database content and sources; and A brief introduction to the major renewable energy technologies. The Atlas includes the following: A GIS database organized as a set of Environmental Systems Research Institute (ESRI) ArcGIS Personal GeoDatabases, and ESRI ArcReader and ArcGIS project files providing an interactive map visualization and analysis interface.

  11. Predicting the Response of Electricity Load to Climate Change

    SciTech Connect (OSTI)

    Sullivan, Patrick; Colman, Jesse; Kalendra, Eric

    2015-07-28

    Our purpose is to develop a methodology to quantify the impact of climate change on electric loads in the United States. We perform simple linear regression, assisted by geospatial smoothing, on paired temperature and load time-series to estimate the heating- and coolinginduced sensitivity to temperature across 300 transmission zones and 16 seasonal and diurnal time periods. The estimated load sensitivities can be coupled with climate scenarios to quantify the potential impact of climate change on load, with a primary application being long-term electricity scenarios. The method allows regional and seasonal differences in climate and load response to be reflected in the electricity scenarios. While the immediate product of this analysis was designed to mesh with the spatial and temporal resolution of a specific electricity model to enable climate change scenarios and analysis with that model, we also propose that the process could be applied for other models and purposes.

  12. Text Stream Trend Analysis using Multiscale Visual Analytics with Applications to Social Media Systems

    SciTech Connect (OSTI)

    Steed, Chad A; Beaver, Justin M; BogenII, Paul L.; Drouhard, Margaret MEG G; Pyle, Joshua M

    2015-01-01

    In this paper, we introduce a new visual analytics system, called Matisse, that allows exploration of global trends in textual information streams with specific application to social media platforms. Despite the potential for real-time situational awareness using these services, interactive analysis of such semi-structured textual information is a challenge due to the high-throughput and high-velocity properties. Matisse addresses these challenges through the following contributions: (1) robust stream data management, (2) automated sen- timent/emotion analytics, (3) inferential temporal, geospatial, and term-frequency visualizations, and (4) a flexible drill-down interaction scheme that progresses from macroscale to microscale views. In addition to describing these contributions, our work-in-progress paper concludes with a practical case study focused on the analysis of Twitter 1% sample stream information captured during the week of the Boston Marathon bombings.

  13. 2007-2008 Annual Progress Report for BPA Grant Exp Restore Walla Walla River Flow

    SciTech Connect (OSTI)

    Bower, Bob

    2009-07-10

    WWBWC and its partners have been working on a wide variety of conservation and aquifer recharge related activities including: monitoring groundwater and surface water conditions, creating a geospatial database for the Walla Walla River valley (project focal area), expanding aquifer recharge testing at the HBDIC site and conducting an extensive outreach/education program by which to share the information, ideas and potential solutions to our current water management issues in this basin. This report is an outline of those activities and is accompanied by individual program-component (attached as appendices) reports for the areas that BPA is assisting to fund these on-the-ground projects along with the innovative research and monitoring being done to further aquifer recharge as a water management tool for the Pacific Northwest.

  14. Development of a GIS Based Dust Dispersion Modeling System.

    SciTech Connect (OSTI)

    Rutz, Frederick C.; Hoopes, Bonnie L.; Crandall, Duard W.; Allwine, K Jerry

    2004-08-12

    With residential areas moving closer to military training sites, the effects upon the environment and neighboring civilians due to dust generated by training exercises has become a growing concern. Under a project supported by the Strategic Environmental Research and Development Program (SERDP) of the Department of Defense, a custom application named DUSTRAN is currently under development that integrates a system of EPA atmospheric dispersion models with the ArcGIS application environment in order to simulate the dust dispersion generated by a planned training maneuver. This integration between modeling system and GIS application allows for the use of real world geospatial data such as terrain, land-use, and domain size as input by the modeling system. Output generated by the modeling system, such as concentration and deposition plumes, can then be displayed upon accurate maps representing the training site. This paper discusses the development of this integration between modeling system and Arc GIS application.

  15. Estimating Rooftop Suitability for PV: A Review of Methods, Patents, and Validation Techniques

    SciTech Connect (OSTI)

    Melius, J.; Margolis, R.; Ong, S.

    2013-12-01

    A number of methods have been developed using remote sensing data to estimate rooftop area suitable for the installation of photovoltaics (PV) at various geospatial resolutions. This report reviews the literature and patents on methods for estimating rooftop-area appropriate for PV, including constant-value methods, manual selection methods, and GIS-based methods. This report also presents NREL's proposed method for estimating suitable rooftop area for PV using Light Detection and Ranging (LiDAR) data in conjunction with a GIS model to predict areas with appropriate slope, orientation, and sunlight. NREL's method is validated against solar installation data from New Jersey, Colorado, and California to compare modeled results to actual on-the-ground measurements.

  16. MATCH: Metadata Access Tool for Climate and Health Datasets

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

    MATCH is a searchable clearinghouse of publicly available Federal metadata (i.e. data about data) and links to datasets. Most metadata on MATCH pertain to geospatial data sets ranging from local to global scales. The goals of MATCH are to: 1) Provide an easily accessible clearinghouse of relevant Federal metadata on climate and health that will increase efficiency in solving research problems; 2) Promote application of research and information to understand, mitigate, and adapt to the health effects of climate change; 3) Facilitate multidirectional communication among interested stakeholders to inform and shape Federal research directions; 4) Encourage collaboration among traditional and non-traditional partners in development of new initiatives to address emerging climate and health issues. [copied from http://match.globalchange.gov/geoportal/catalog/content/about.page

  17. Military Base Off-Taker Opportunities for Tribal Renewable Energy Projects

    SciTech Connect (OSTI)

    Nangle, J.

    2013-05-01

    This white paper surveys DOD installations that could have an increased potential interest in the purchase of energy from renewable energy projects on tribal lands. Identification of likely purchasers of renewable energy is a first step in the energy project development process, and this paper aims to identify likely electricity customers that tribal commercial-scale projects could serve. This white paper builds on a geospatial analysis completed in November 2012 identifying 53 reservations within 10 miles of military bases (DOE 2012). This analysis builds on those findings by further refining the list of potential opportunity sites to 15 reservations (Table ES-1), based on five additional factors: 1) The potential renewable resources required to meet the installation energy loads; 2) Proximity to transmission lines; 3) Military installation energy demand; 4) State electricity prices; 5) Local policy and regulatory environment.

  18. Emerging Technologies in the Built Environment: Geographic Information Science (GIS), 3D Printing, and Additive Manufacturing

    SciTech Connect (OSTI)

    New, Joshua Ryan

    2014-01-01

    Abstract 1: Geographic information systems emerged as a computer application in the late 1960s, led in part by projects at ORNL. The concept of a GIS has shifted through time in response to new applications and new technologies, and is now part of a much larger world of geospatial technology. This presentation discusses the relationship of GIS and estimating hourly and seasonal energy consumption profiles in the building sector at spatial scales down to the individual parcel. The method combines annual building energy simulations for city-specific prototypical buildings and commonly available geospatial data in a GIS framework. Abstract 2: This presentation focuses on 3D printing technologies and how they have rapidly evolved over the past couple of years. At a basic level, 3D printing produces physical models quickly and easily from 3D CAD, BIM (Building Information Models), and other digital data. Many AEC firms have adopted 3D printing as part of commercial building design development and project delivery. This presentation includes an overview of 3D printing, discusses its current use in building design, and talks about its future in relation to the HVAC industry. Abstract 3: This presentation discusses additive manufacturing and how it is revolutionizing the design of commercial and residential facilities. Additive manufacturing utilizes a broad range of direct manufacturing technologies, including electron beam melting, ultrasonic, extrusion, and laser metal deposition for rapid prototyping. While there is some overlap with the 3D printing talk, this presentation focuses on the materials aspect of additive manufacturing and also some of the more advanced technologies involved with rapid prototyping. These technologies include design of carbon fiber composites, lightweight metals processing, transient field processing, and more.

  19. Utah Heavy Oil Program

    SciTech Connect (OSTI)

    J. Bauman; S. Burian; M. Deo; E. Eddings; R. Gani; R. Goel; C.K. Huang; M. Hogue; R. Keiter; L. Li; J. Ruple; T. Ring; P. Rose; M. Skliar; P.J. Smith; J.P. Spinti; P. Tiwari; J. Wilkey; K. Uchitel

    2009-10-20

    The Utah Heavy Oil Program (UHOP) was established in June 2006 to provide multidisciplinary research support to federal and state constituents for addressing the wide-ranging issues surrounding the creation of an industry for unconventional oil production in the United States. Additionally, UHOP was to serve as an on-going source of unbiased information to the nation surrounding technical, economic, legal and environmental aspects of developing heavy oil, oil sands, and oil shale resources. UHOP fulGilled its role by completing three tasks. First, in response to the Energy Policy Act of 2005 Section 369(p), UHOP published an update report to the 1987 technical and economic assessment of domestic heavy oil resources that was prepared by the Interstate Oil and Gas Compact Commission. The UHOP report, entitled 'A Technical, Economic, and Legal Assessment of North American Heavy Oil, Oil Sands, and Oil Shale Resources' was published in electronic and hard copy form in October 2007. Second, UHOP developed of a comprehensive, publicly accessible online repository of unconventional oil resources in North America based on the DSpace software platform. An interactive map was also developed as a source of geospatial information and as a means to interact with the repository from a geospatial setting. All documents uploaded to the repository are fully searchable by author, title, and keywords. Third, UHOP sponsored Give research projects related to unconventional fuels development. Two projects looked at issues associated with oil shale production, including oil shale pyrolysis kinetics, resource heterogeneity, and reservoir simulation. One project evaluated in situ production from Utah oil sands. Another project focused on water availability and produced water treatments. The last project considered commercial oil shale leasing from a policy, environmental, and economic perspective.

  20. Development of an IAEA Training Course for Future U.S. Inspectors

    SciTech Connect (OSTI)

    Savannah Avgerinos Fitzwater; Amanda R. Rynes; David S. Bracken; Richard R. M. Metcalf; James D. West

    2011-07-01

    U.S. citizens currently make up only 12% of the positions held in the IAEAs Department of Safeguards. While the United States has maintained a high level of support for the Agency over the duration of its history, the number of American inspectors currently in the field does not reflect this level of involvement. As a result, the National Nuclear Security Administrations Office of International Relations, as part of the Next Generation Safeguards Initiative (NGSI) mission, has tasked Idaho National Laboratory (INL) to develop a rigorous two week hands-on training program to encourage and operationally acclimatize U.S. Citizens who are interested in applying for IAEA inspector positions using IAEA authorized equipment at INL. Idaho National Laboratory is one-of-a-kind in its ability to train IAEA inspectors by including training at nuclear facilities on site and includes, for example, direct measurement of an active spent fuel storage cooling pond. This accredited course will introduce and train attendees on the major IAEA systems used in collecting nuclear safeguards data and performing safeguards inspections. Unique in the United States, these classes will give attendees direct hands-on training and will address equipment purpose, function, operating principles, application, and troubleshooting, based upon what would be expected of an IAEA Safeguards Inspector in the field and in the office. Upon completion, U.S. applicants will be better qualified to pursue a position in the IAEA Department of Safeguards Operational Divisions. In support, INL has recently established a new laboratory space to house state of the art nuclear safeguards instrumentation. Currently, equipment installed in the laboratory space includes attended systems: 3DLR (3-D Imaging Laser) for design information verification, a Digital Cerenkov Viewing Device for measurement of spent fuel, HM-5 handheld radiation detectors, quantitative neutron and gamma systems; unattended monitoring systems including: NGAM and MiniGRAND radiation systems and a DMOS camera system, and VACOSS/EOSS Optical Sealing Systems..

  1. An Adaptive Landscape Classification Procedure using Geoinformatics and Artificial Neural Networks

    SciTech Connect (OSTI)

    Coleman, Andre M.

    2008-08-01

    The Adaptive Landscape Classification Procedure (ALCP), which links the advanced geospatial analysis capabilities of Geographic Information Systems (GISs) and Artificial Neural Networks (ANNs) and particularly Self-Organizing Maps (SOMs), is proposed as a method for establishing and reducing complex data relationships. Its adaptive and evolutionary capability is evaluated for situations where varying types of data can be combined to address different prediction and/or management needs such as hydrologic response, water quality, aquatic habitat, groundwater recharge, land use, instrumentation placement, and forecast scenarios. The research presented here documents and presents favorable results of a procedure that aims to be a powerful and flexible spatial data classifier that fuses the strengths of geoinformatics and the intelligence of SOMs to provide data patterns and spatial information for environmental managers and researchers. This research shows how evaluation and analysis of spatial and/or temporal patterns in the landscape can provide insight into complex ecological, hydrological, climatic, and other natural and anthropogenic-influenced processes. Certainly, environmental management and research within heterogeneous watersheds provide challenges for consistent evaluation and understanding of system functions. For instance, watersheds over a range of scales are likely to exhibit varying levels of diversity in their characteristics of climate, hydrology, physiography, ecology, and anthropogenic influence. Furthermore, it has become evident that understanding and analyzing these diverse systems can be difficult not only because of varying natural characteristics, but also because of the availability, quality, and variability of spatial and temporal data. Developments in geospatial technologies, however, are providing a wide range of relevant data, and in many cases, at a high temporal and spatial resolution. Such data resources can take the form of high-dimensional data arrays, which can difficult to fully use. Establishing relationships among high-dimensional datasets through neurocomputing based patterning methods can help 1) resolve large volumes of data into a meaningful form; 2) provide an approach for inferring landscape processes in areas that have limited data available but that exhibit similar landscape characteristics; and 3) discover the value of individual variables or groups of variables that contribute to specific processes in the landscape.

  2. Geothermal Data from the National Geothermal Data System (NGDS)

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

    The National Geothermal Data System (NGDS) is a distributed data system providing access to information resources related to geothermal energy from a network of data providers. Data are contributed by academic researchers, private industry, and state and federal agencies. Built on a scalable and open platform through the U.S. Geoscience Information Network (USGIN), NGDS respects data provenance while promoting shared resources.Since NGDS is built using a set of open protocols and standards, relying on the Open Geospatial Consortium (OGC) and International Organization for Standardization (ISO), members of the community may access the data in a variety of proprietary and open-source applications and software. In addition, developers can add functionality to the system by creating new applications based on the open protocols and standards of the NGDS. The NGDS, supported by the U.S. Department of Energys Geothermal Technology Program, is intended to provide access to all types of geothermal data to enable geothermal analysis and widespread public use in an effort to reduce the risk of geothermal energy development [copied from http://www.geothermaldata.org/page/about]. See the long list of data contributors at http://geothermaldata.org/page/data-types-and-contributors#data-contributors.

  3. Automating Natural Disaster Impact Analysis: An Open Resource to Visually Estimate a Hurricane s Impact on the Electric Grid

    SciTech Connect (OSTI)

    Barker, Alan M; Freer, Eva B; Omitaomu, Olufemi A; Fernandez, Steven J; Chinthavali, Supriya; Kodysh, Jeffrey B

    2013-01-01

    An ORNL team working on the Energy Awareness and Resiliency Standardized Services (EARSS) project developed a fully automated procedure to take wind speed and location estimates provided by hurricane forecasters and provide a geospatial estimate on the impact to the electric grid in terms of outage areas and projected duration of outages. Hurricane Sandy was one of the worst US storms ever, with reported injuries and deaths, millions of people without power for several days, and billions of dollars in economic impact. Hurricane advisories were released for Sandy from October 22 through 31, 2012. The fact that the geoprocessing was automated was significant there were 64 advisories for Sandy. Manual analysis typically takes about one hour for each advisory. During a storm event, advisories are released every two to three hours around the clock, and an analyst capable of performing the manual analysis has other tasks they would like to focus on. Initial predictions of a big impact and landfall usually occur three days in advance, so time is of the essence to prepare for utility repair. Automated processing developed at ORNL allowed this analysis to be completed and made publicly available within minutes of each new advisory being released.

  4. A Simple Evacuation Modeling and Simulation Tool for First Responders

    SciTech Connect (OSTI)

    Koch, Daniel B; Payne, Patricia W

    2015-01-01

    Although modeling and simulation of mass evacuations during a natural or man-made disaster is an on-going and vigorous area of study, tool adoption by front-line first responders is uneven. Some of the factors that account for this situation include cost and complexity of the software. For several years, Oak Ridge National Laboratory has been actively developing the free Incident Management Preparedness and Coordination Toolkit (IMPACT) to address these issues. One of the components of IMPACT is a multi-agent simulation module for area-based and path-based evacuations. The user interface is designed so that anyone familiar with typical computer drawing tools can quickly author a geospatially-correct evacuation visualization suitable for table-top exercises. Since IMPACT is designed for use in the field where network communications may not be available, quick on-site evacuation alternatives can be evaluated to keep pace with a fluid threat situation. Realism is enhanced by incorporating collision avoidance into the simulation. Statistics are gathered as the simulation unfolds, including most importantly time-to-evacuate, to help first responders choose the best course of action.

  5. Distribution of the Chuckwalla, Western Burrowing Owl, and Six Bat Species on the Nevada Test Site

    SciTech Connect (OSTI)

    Cathy A. Willis

    1997-05-01

    Field Surveys were conducted in 1996 to determine the current distribution of several animal species of concern on the Nevada Test Site (NTS). They included the chuckwall (Sauromalus obesus), western burrowing owl (Speotyto cunicularia), and six species of bats. Nineteen chuckwallas and 118 scat locations were found during the chuckwalla field study. Eighteen western burrowing owls were found at 12 sighting locations during the 1996 field study. Of the eleven bat species of concern which might occur on the NTS, five, and possibly six, were captured during this survey. The U.S. Department of Energy, Nevada Operations Office, takes certain management actions to protect and conserve the chuckwalla, western burrowing owl, and bats on the NTS. These actions are described and include: (1) conducting surveys at sites of proposed land-disturbing activities (2) altering projects whenever possible to avoid or minimize impacts to these species (3) maintaining a geospatial database of known habitat for species of concern (4) sharing sighting and trap location data gathered on the NTS with other local land and resource managers, and (5) conducting periodic field surveys to monitor these species distribution and relative abundance on the NTS.

  6. Design and application of a mobile ground-based observatory for continuous measurements of atmospheric trace-gas and criteria pollutant species

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

    Bush, S. E.; Hopkins, F. M.; Randerson, J. T.; Lai, C.-T.; Ehleringer, J. R.

    2015-01-06

    Ground-based measurements of atmospheric trace gas species and criteria pollutants are essential for understanding emissions dynamics across space and time. Gas composition in the surface 50 m has the greatest direct impacts on human health as well as ecosystem processes, hence data at this level is necessary for addressing carbon cycle and public health related questions. However, such surface data are generally associated with stationary measurement towers, where spatial representation is limited due to the high cost of establishing and maintaining an extensive network of measurement stations. We describe here a compact mobile laboratory equipped to provide high-precision, high-frequency, continuous,more » on-road synchronous measurements of CO2, CO, CH4, H2O, NOx, O3, aerosol, meteorological, and geospatial position data. The mobile laboratory has been deployed across the western USA. In addition to describing the vehicle and its capacity, we present data that illustrate the use of the laboratory as a powerful tool for investigating the spatial structure of urban trace gas emissions and criteria pollutants at spatial scales ranging from single streets to whole ecosystem and regional scales. We identify fugitive urban CH4 emissions and assess the magnitude of CH4 emissions from known point sources. We illustrate how such a mobile laboratory can be used to better understand emissions dynamics and quantify emissions ratios associated with trace gas emissions from wildfire incidents. Lastly, we discuss additional mobile laboratory applications in health and urban metabolism.« less

  7. Integrating multi-criteria decision analysis for a GIS-based hazardous waste landfill sitting in Kurdistan Province, western Iran

    SciTech Connect (OSTI)

    Sharifi, Mozafar Hadidi, Mosslem Vessali, Elahe Mosstafakhani, Parasto Taheri, Kamal Shahoie, Saber Khodamoradpour, Mehran

    2009-10-15

    The evaluation of a hazardous waste disposal site is a complicated process because it requires data from diverse social and environmental fields. These data often involve processing of a significant amount of spatial information which can be used by GIS as an important tool for land use suitability analysis. This paper presents a multi-criteria decision analysis alongside with a geospatial analysis for the selection of hazardous waste landfill sites in Kurdistan Province, western Iran. The study employs a two-stage analysis to provide a spatial decision support system for hazardous waste management in a typically under developed region. The purpose of GIS was to perform an initial screening process to eliminate unsuitable land followed by utilization of a multi-criteria decision analysis (MCDA) to identify the most suitable sites using the information provided by the regional experts with reference to new chosen criteria. Using 21 exclusionary criteria, as input layers, masked maps were prepared. Creating various intermediate or analysis map layers a final overlay map was obtained representing areas for hazardous waste landfill sites. In order to evaluate different landfill sites produced by the overlaying a landfill suitability index system was developed representing cumulative effects of relative importance (weights) and suitability values of 14 non-exclusionary criteria including several criteria resulting from field observation. Using this suitability index 15 different sites were visited and based on the numerical evaluation provided by MCDA most suitable sites were determined.

  8. Matisse: A Visual Analytics System for Exploring Emotion Trends in Social Media Text Streams

    SciTech Connect (OSTI)

    Steed, Chad A; Drouhard, Margaret MEG G; Beaver, Justin M; Pyle, Joshua M; BogenII, Paul L.

    2015-01-01

    Dynamically mining textual information streams to gain real-time situational awareness is especially challenging with social media systems where throughput and velocity properties push the limits of a static analytical approach. In this paper, we describe an interactive visual analytics system, called Matisse, that aids with the discovery and investigation of trends in streaming text. Matisse addresses the challenges inherent to text stream mining through the following technical contributions: (1) robust stream data management, (2) automated sentiment/emotion analytics, (3) interactive coordinated visualizations, and (4) a flexible drill-down interaction scheme that accesses multiple levels of detail. In addition to positive/negative sentiment prediction, Matisse provides fine-grained emotion classification based on Valence, Arousal, and Dominance dimensions and a novel machine learning process. Information from the sentiment/emotion analytics are fused with raw data and summary information to feed temporal, geospatial, term frequency, and scatterplot visualizations using a multi-scale, coordinated interaction model. After describing these techniques, we conclude with a practical case study focused on analyzing the Twitter sample stream during the week of the 2013 Boston Marathon bombings. The case study demonstrates the effectiveness of Matisse at providing guided situational awareness of significant trends in social media streams by orchestrating computational power and human cognition.

  9. Assessment of Industrial Load for Demand Response across Western Interconnect

    SciTech Connect (OSTI)

    Alkadi, Nasr E; Starke, Michael R; Ma, Ookie

    2013-11-01

    Demand response (DR) has the ability to both increase power grid reliability and potentially reduce operating system costs. Understanding the role of demand response in grid modeling has been difficult due to complex nature of the load characteristics compared to the modeled generation and the variation in load types. This is particularly true of industrial loads, where hundreds of different industries exist with varying availability for demand response. We present a framework considering industrial loads for the development of availability profiles that can provide more regional understanding and can be inserted into analysis software for further study. The developed framework utilizes a number of different informational resources, algorithms, and real-world measurements to perform a bottom-up approach in the development of a new database with representation of the potential demand response resource in the industrial sector across the U.S. This tool houses statistical values of energy and demand response (DR) potential by industrial plant and geospatially locates the information for aggregation for different territories without proprietary information. This report will discuss this framework and the analyzed quantities of demand response for Western Interconnect (WI) in support of evaluation of the cost production modeling with power grid modeling efforts of demand response.

  10. Intelligent Object-Oriented GIS Engine W/dynamic Coupling to Modeled Objects

    Energy Science and Technology Software Center (OSTI)

    1997-02-12

    The GEOVIEWER is an intelligent object-oriented Geographic Information System (GIS) engine that provides not only a spatially-optimized object representation, but also direct linkage to the underlying object, its data and behaviors. Tools are incorporated to perform tasks involving typical GIS functionality, data ingestion, linkage to external models, and integration with other application frameworks. The GOEVIEWER module was designed to provide GIS functionality to create, query, view, and manipulate software objects within a selected area undermore » investigation in a simulation system. Many of these objects are not stored in a format conductive to efficient GIS usage. Their dynamic nature, complexity, and the sheer number of possible entity classes preclude effective integration with traditional GIS technologies due to the loosely coupled nature of their data representations. The primary difference between GEOVIEWER and standard GIS packages is that standard GIS packages offer static views of geospatial data while GEOVIEWER can be dynamically coupled to models and/or applications producing data and, therefore, display changes in geometry, attributes or behavior as they occur in the simulation.« less

  11. Object-oriented Geographic Information System Framework

    Energy Science and Technology Software Center (OSTI)

    2003-03-01

    JeoViewer is an intelligent object-oriented geographic information system (GIS) framework written in Java that provides transparent linkage to any object’s data, behaviors, and optimized spatial geometry representation. Tools are provided for typical GIS functionality, data ingestion, data export, and integration with other frameworks. The primary difference between Jeo Viewer and traditional GIS systems is that traditional GIS systems offer static views of geo-spatial data while JeoViewer can be dynamically coupled to models and live datamore » streams which dynamically change the state of the object which can be immediately represented in JeoViewer. Additionally, JeoViewer’s object-oriented paradigm provides a more natural representation of spatial data. A rich layer hierarchy allows arbitrary grouping of objects based on any relationship as well as the traditional GIS vertical ordering of objects. JeoViewer can run as a standalone product, extended with additional analysis functionality, or embedded in another framework.« less

  12. Regional Economic Accounting (REAcct). A software tool for rapidly approximating economic impacts

    SciTech Connect (OSTI)

    Ehlen, Mark Andrew; Vargas, Vanessa N.; Loose, Verne William; Starks, Shirley J.; Ellebracht, Lory A.

    2011-07-01

    This paper describes the Regional Economic Accounting (REAcct) analysis tool that has been in use for the last 5 years to rapidly estimate approximate economic impacts for disruptions due to natural or manmade events. It is based on and derived from the well-known and extensively documented input-output modeling technique initially presented by Leontief and more recently further developed by numerous contributors. REAcct provides county-level economic impact estimates in terms of gross domestic product (GDP) and employment for any area in the United States. The process for using REAcct incorporates geospatial computational tools and site-specific economic data, permitting the identification of geographic impact zones that allow differential magnitude and duration estimates to be specified for regions affected by a simulated or actual event. Using these data as input to REAcct, the number of employees for 39 directly affected economic sectors (including 37 industry production sectors and 2 government sectors) are calculated and aggregated to provide direct impact estimates. Indirect estimates are then calculated using Regional Input-Output Modeling System (RIMS II) multipliers. The interdependent relationships between critical infrastructures, industries, and markets are captured by the relationships embedded in the inputoutput modeling structure.

  13. Improved Offshore Wind Resource Assessment in Global Climate Stabilization Scenarios

    SciTech Connect (OSTI)

    Arent, D.; Sullivan, P.; Heimiller, D.; Lopez, A.; Eurek, K.; Badger, J.; Jorgensen, H. E.; Kelly, M.; Clarke, L.; Luckow, P.

    2012-10-01

    This paper introduces a technique for digesting geospatial wind-speed data into areally defined -- country-level, in this case -- wind resource supply curves. We combined gridded wind-vector data for ocean areas with bathymetry maps, country exclusive economic zones, wind turbine power curves, and other datasets and relevant parameters to build supply curves that estimate a country's offshore wind resource defined by resource quality, depth, and distance-from-shore. We include a single set of supply curves -- for a particular assumption set -- and study some implications of including it in a global energy model. We also discuss the importance of downscaling gridded wind vector data to capturing the full resource potential, especially over land areas with complex terrain. This paper includes motivation and background for a statistical downscaling methodology to account for terrain effects with a low computational burden. Finally, we use this forum to sketch a framework for building synthetic electric networks to estimate transmission accessibility of renewable resource sites in remote areas.

  14. Deformation analysis of Aceh April 11{sup th} 2012 earthquake using GPS observation data

    SciTech Connect (OSTI)

    Maulida, Putra; Meilano, Irwan; Sarsito, Dina A.; Susilo

    2015-04-24

    This research tries to estimate the co-seismic deformation of intraplate earthquake occurred off northern Sumatra coast which is about 100-200 km southwest of Sumatrasubduction zone. The earthquake mechanism was strike-slip with magnitude 8.6 and triggering aftershock with magnitude 8.2 two hours later. We estimated the co-seismic deformation by using the GPS (Global Positioning System) continuous data along western Sumatra coast. The GPS observation derived from Sumatran GPS Array (SuGAr) and Geospatial Information Agency (BIG). For data processing we used GPS Analyze at Massachusetts Institute of Technology (GAMIT) software and Global Kalman Filter (GLOBK) to estimate the co-seismic deformation. From the GPS daily solution, the result shows that the earthquake caused displacement for the GPS stations in Sumatra. GPS stations in northern Sumatra showed the displacement to the northeast with the average displacement was 15 cm. The biggest displacement was found at station BSIM which is located at Simeuleu Island off north west Sumatra coast. GPS station in middle part of Sumatra, the displacement was northwest. The earthquake also caused subsidence for stations in northern Sumatra, but from the time series there was not sign of subsidence was found at middle part of Sumatra. In addition, the effect of the earthquake was worldwide and affected the other GPS Stations around Hindia oceanic.

  15. The Future Potential of Waver Power in the United States

    SciTech Connect (OSTI)

    Mirko Previsic; Jeff Epler; Maureen Hand; Donna Heimiller; Walter Short; Kelly Eurek

    2012-09-20

    The theoretical ocean wave energy resource potential exceeds 50% of the annual domestic energy demand of the United States, is located close to coastal population centers, and, although variable in nature, may be more consistent and predictable than some other renewable generation technologies. As a renewable electricity generation technology, ocean wave energy offers a low air pollutant option for diversifying the U.S. electricity generation portfolio. Furthermore, the output characteristics of these technologies may complement other renewable technologies. This study addresses the following: (1) The theoretical, technical and practical potential for electricity generation from wave energy (2) The present lifecycle cost profile (Capex, Opex, and Cost of Electricity) of wave energy conversion technology at a reference site in Northern California at different plant scales (3) Cost of electricity variations as a function of deployment site, considering technical, geo-spatial and and electric grid constraints (4) Technology cost reduction pathways (5) Cost reduction targets at which the technology will see significant deployment within US markets, explored through a series of deployment scenarios RE Vision Consulting, LLC (RE Vision), engaged in various analyses to establish current and future cost profiles for marine hydrokinetic (MHK) technologies, quantified the theoretical, technical and practical resource potential, performed electricity market assessments and developed deployment scenarios. RE Vision was supported in this effort by NREL analysts, who compiled resource information, performed analysis using the ReEDSa model to develop deployment scenarios, and developed a simplified assessment of the Alaska and Hawaii electricity markets.

  16. Risks to global biodiversity from fossil-fuel production exceed those from biofuel production

    SciTech Connect (OSTI)

    Dale, Virginia H; Parish, Esther S; Kline, Keith L

    2015-01-01

    Potential global biodiversity impacts from near-term gasoline production are compared to biofuel, a renewable liquid transportation fuel expected to substitute for gasoline in the near term (i.e., from now until c. 2030). Petroleum exploration activities are projected to extend across more than 5.8 billion ha of land and ocean worldwide (of which 3.1 billion is on land), much of which is in remote, fragile terrestrial ecosystems or off-shore oil fields that would remain relatively undisturbed if not for interest in fossil fuel production. Future biomass production for biofuels is projected to fall within 2.0 billion ha of land, most of which is located in areas already impacted by human activities. A comparison of likely fuel-source areas to the geospatial distribution of species reveals that both energy sources overlap with areas with high species richness and large numbers of threatened species. At the global scale, future petroleum production areas intersect more than double the area and higher total number of threatened species than future biofuel production. Energy options should be developed to optimize provisioning of ecosystem services while minimizing negative effects, which requires information about potential impacts on critical resources. Energy conservation and identifying and effectively protecting habitats with high-conservation value are critical first steps toward protecting biodiversity under any fuel production scenario.

  17. Renewable energy atlas of the United States.

    SciTech Connect (OSTI)

    Kuiper, J.A.; Hlava, K.Greenwood, H.; Carr, A.

    2012-05-01

    The Renewable Energy Atlas (Atlas) of the United States is a compilation of geospatial data focused on renewable energy resources, federal land ownership, and base map reference information. It is designed for the U.S. Department of Agriculture Forest Service (USFS) and other federal land management agencies to evaluate existing and proposed renewable energy projects. Much of the content of the Atlas was compiled at Argonne National Laboratory (Argonne) to support recent and current energy-related Environmental Impact Statements and studies, including the following projects: (1) West-wide Energy Corridor Programmatic Environmental Impact Statement (PEIS) (BLM 2008); (2) Draft PEIS for Solar Energy Development in Six Southwestern States (DOE/BLM 2010); (3) Supplement to the Draft PEIS for Solar Energy Development in Six Southwestern States (DOE/BLM 2011); (4) Upper Great Plains Wind Energy PEIS (WAPA/USFWS 2012, in progress); and (5) Energy Transport Corridors: The Potential Role of Federal Lands in States Identified by the Energy Policy Act of 2005, Section 368(b) (in progress). This report explains how to add the Atlas to your computer and install the associated software; describes each of the components of the Atlas; lists the Geographic Information System (GIS) database content and sources; and provides a brief introduction to the major renewable energy technologies.

  18. Establishing a Secure Data Center with Remote Access: Preprint

    SciTech Connect (OSTI)

    Gonder, J.; Burton, E.; Murakami, E.

    2012-04-01

    Access to existing travel data is critical for many analysis efforts that lack the time or resources to support detailed data collection. High-resolution data sets provide particular value, but also present a challenge for preserving the anonymity of the original survey participants. To address this dilemma of providing data access while preserving privacy, the National Renewable Energy Laboratory and the U.S. Department of Transportation have launched the Transportation Secure Data Center (TSDC). TSDC data sets include those from regional travel surveys and studies that increasingly use global positioning system devices. Data provided by different collecting agencies varies with respect to formatting, elements included and level of processing conducted in support of the original purpose. The TSDC relies on a number of geospatial and other analysis tools to ensure data quality and to generate useful information outputs. TSDC users can access the processed data in two different ways. The first is by downloading summary results and second-by-second vehicle speed profiles (with latitude/longitude information removed) from a publicly-accessible website. The second method involves applying for a remote connection account to a controlled-access environment where spatial analysis can be conducted, but raw data cannot be removed.

  19. Geothermal Data from the National Geothermal Data System (NGDS)

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

    The National Geothermal Data System (NGDS) is a distributed data system providing access to information resources related to geothermal energy from a network of data providers. Data are contributed by academic researchers, private industry, and state and federal agencies. Built on a scalable and open platform through the U.S. Geoscience Information Network (USGIN), NGDS respects data provenance while promoting shared resources.Since NGDS is built using a set of open protocols and standards, relying on the Open Geospatial Consortium (OGC) and International Organization for Standardization (ISO), members of the community may access the data in a variety of proprietary and open-source applications and software. In addition, developers can add functionality to the system by creating new applications based on the open protocols and standards of the NGDS. The NGDS, supported by the U.S. Department of Energy’s Geothermal Technology Program, is intended to provide access to all types of geothermal data to enable geothermal analysis and widespread public use in an effort to reduce the risk of geothermal energy development [copied from http://www.geothermaldata.org/page/about]. See the long list of data contributors at http://geothermaldata.org/page/data-types-and-contributors#data-contributors.

  20. Ocean Thermal Extractable Energy Visualization- Final Technical Report on Award DE-EE0002664. October 28, 2012

    SciTech Connect (OSTI)

    Ascari, Matthew B.; Hanson, Howard P.; Rauchenstein, Lynn; Van Zwieten, James; Bharathan, Desikan; Heimiller, Donna; Langle, Nicholas; Scott, George N.; Potemra, James; Nagurny, N. John; Jansen, Eugene

    2012-10-28

    The Ocean Thermal Extractable Energy Visualization (OTEEV) project focuses on assessing the Maximum Practicably Extractable Energy (MPEE) from the world's ocean thermal resources. MPEE is defined as being sustainable and technically feasible, given today's state-of-the-art ocean energy technology. Under this project the OTEEV team developed a comprehensive Geospatial Information System (GIS) dataset and software tool, and used the tool to provide a meaningful assessment of MPEE from the global and domestic U.S. ocean thermal resources. The OTEEV project leverages existing NREL renewable energy GIS technologies and integrates extractable energy estimated from quality-controlled data and projected optimal achievable energy conversion rates. Input data are synthesized from a broad range of existing in-situ measurements and ground-truthed numerical models with temporal and spatial resolutions sufficient to reflect the local resource. Energy production rates are calculated for regions based on conversion rates estimated for current technology, local energy density of the resource, and sustainable resource extraction. Plant spacing and maximum production rates are then estimated based on a default plant size and transmission mechanisms. The resulting data are organized, displayed, and accessed using a multi-layered GIS mapping tool, http://maps.nrel.gov/mhk_atlas with a user-friendly graphical user interface.

  1. A Bayesian Machine Learning Model for Estimating Building Occupancy from Open Source Data

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

    Stewart, Robert N.; Urban, Marie L.; Duchscherer, Samantha E.; Kaufman, Jason; Morton, April M.; Thakur, Gautam; Piburn, Jesse; Moehl, Jessica

    2016-01-01

    Understanding building occupancy is critical to a wide array of applications including natural hazards loss analysis, green building technologies, and population distribution modeling. Due to the expense of directly monitoring buildings, scientists rely in addition on a wide and disparate array of ancillary and open source information including subject matter expertise, survey data, and remote sensing information. These data are fused using data harmonization methods which refer to a loose collection of formal and informal techniques for fusing data together to create viable content for building occupancy estimation. In this paper, we add to the current state of the artmore » by introducing the Population Data Tables (PDT), a Bayesian based informatics system for systematically arranging data and harmonization techniques into a consistent, transparent, knowledge learning framework that retains in the final estimation uncertainty emerging from data, expert judgment, and model parameterization. PDT probabilistically estimates ambient occupancy in units of people/1000ft2 for over 50 building types at the national and sub-national level with the goal of providing global coverage. The challenge of global coverage led to the development of an interdisciplinary geospatial informatics system tool that provides the framework for capturing, storing, and managing open source data, handling subject matter expertise, carrying out Bayesian analytics as well as visualizing and exporting occupancy estimation results. We present the PDT project, situate the work within the larger community, and report on the progress of this multi-year project.Understanding building occupancy is critical to a wide array of applications including natural hazards loss analysis, green building technologies, and population distribution modeling. Due to the expense of directly monitoring buildings, scientists rely in addition on a wide and disparate array of ancillary and open source information including subject matter expertise, survey data, and remote sensing information. These data are fused using data harmonization methods which refer to a loose collection of formal and informal techniques for fusing data together to create viable content for building occupancy estimation. In this paper, we add to the current state of the art by introducing the Population Data Tables (PDT), a Bayesian model and informatics system for systematically arranging data and harmonization techniques into a consistent, transparent, knowledge learning framework that retains in the final estimation uncertainty emerging from data, expert judgment, and model parameterization. PDT probabilistically estimates ambient occupancy in units of people/1000 ft2 for over 50 building types at the national and sub-national level with the goal of providing global coverage. The challenge of global coverage led to the development of an interdisciplinary geospatial informatics system tool that provides the framework for capturing, storing, and managing open source data, handling subject matter expertise, carrying out Bayesian analytics as well as visualizing and exporting occupancy estimation results. We present the PDT project, situate the work within the larger community, and report on the progress of this multi-year project.« less

  2. Expansion and Enhacement of the Wyoming Coalbed Methane Clearinghouse Website to the Wyoming Energy Resources Information Clearinghouse.

    SciTech Connect (OSTI)

    Hulme, Diana; Hamerlinck, Jeffrey; Bergman, Harold; Oakleaf, Jim

    2010-03-26

    Energy development is expanding across the United States, particularly in western states like Wyoming. Federal and state land management agencies, local governments, industry and non-governmental organizations have realized the need to access spatially-referenced data and other non-spatial information to determine the geographical extent and cumulative impacts of expanding energy development. The Wyoming Energy Resources Information Clearinghouse (WERIC) is a web-based portal which centralizes access to news, data, maps, reports and other information related to the development, management and conservation of Wyoming??s diverse energy resources. WERIC was established in 2006 by the University of Wyoming??s Ruckelshaus Institute of Environment and Natural Resources (ENR) and the Wyoming Geographic Information Science Center (WyGISC) with funding from the US Department of Energy (DOE) and the US Bureau of Land Management (BLM). The WERIC web portal originated in concept from a more specifically focused website, the Coalbed Methane (CBM) Clearinghouse. The CBM Clearinghouse effort focused only on coalbed methane production within the Powder River Basin of northeast Wyoming. The CBM Clearinghouse demonstrated a need to expand the effort statewide with a comprehensive energy focus, including fossil fuels and renewable and alternative energy resources produced and/or developed in Wyoming. WERIC serves spatial data to the greater Wyoming geospatial community through the Wyoming GeoLibrary, the WyGISC Data Server and the Wyoming Energy Map. These applications are critical components that support the Wyoming Energy Resources Information Clearinghouse (WERIC). The Wyoming GeoLibrary is a tool for searching and browsing a central repository for metadata. It provides the ability to publish and maintain metadata and geospatial data in a distributed environment. The WyGISC Data Server is an internet mapping application that provides traditional GIS mapping and analysis functionality via the web. It is linked into various state and federal agency spatial data servers allowing users to visualize multiple themes, such as well locations and core sage grouse areas, in one domain. Additionally, this application gives users the ability to download any of the data being displayed within the web map. The Wyoming Energy Map is the newest mapping application developed directly from this effort. With over a 100 different layers accessible via this mapping application, it is the most comprehensive Wyoming energy mapping application available. This application also provides the public with the ability to create cultural and wildlife reports based on any location throughout Wyoming and at multiple scales. The WERIC website also allows users to access links to federal, state, and local natural resource agency websites and map servers; research documents about energy; and educational information, including information on upcoming energy-relate conferences. The WERIC website has seen significant use by energy industry consultants, land management agencies, state and local decision-makers, non-governmental organizations and the public. Continued service to these sectors is desirable but some challenges remain in keeping the WERIC site viable. The most pressing issue is finding the human and financial resources to keep the site continually updated. Initially, the concept included offering users the ability to maintain the site themselves; however, this has proven not to be a viable option since very few people contributed. Without user contributions, the web page relied on already committed university staff to publish and link to the appropriate documents and web-pages. An option that is currently being explored to address this issue is development of a partnership with the University of Wyoming, School of Energy Resources (SER). As part of their outreach program, SER may be able to contribute funding for a full-time position dedicated to maintenance of WERIC.

  3. Final report : PATTON Alliance gazetteer evaluation project.

    SciTech Connect (OSTI)

    Bleakly, Denise Rae

    2007-08-01

    In 2005 the National Ground Intelligence Center (NGIC) proposed that the PATTON Alliance provide assistance in evaluating and obtaining the Integrated Gazetteer Database (IGDB), developed for the Naval Space Warfare Command Research group (SPAWAR) under Advance Research and Development Activity (ARDA) funds by MITRE Inc., fielded to the text-based search tool GeoLocator, currently in use by NGIC. We met with the developers of GeoLocator and identified their requirements for a better gazetteer. We then validated those requirements by reviewing the technical literature, meeting with other members of the intelligence community (IC), and talking with both the United States Geologic Survey (USGS) and the National Geospatial Intelligence Agency (NGA), the authoritative sources for official geographic name information. We thus identified 12 high-level requirements from users and the broader intelligence community. The IGDB satisfies many of these requirements. We identified gaps and proposed ways of closing these gaps. Three important needs have not been addressed but are critical future needs for the broader intelligence community. These needs include standardization of gazetteer data, a web feature service for gazetteer information that is maintained by NGA and USGS but accessible to users, and a common forum that brings together IC stakeholders and federal agency representatives to provide input to these activities over the next several years. Establishing a robust gazetteer web feature service that is available to all IC users may go a long way toward resolving the gazetteer needs within the IC. Without a common forum to provide input and feedback, community adoption may take significantly longer than anticipated with resulting risks to the war fighter.

  4. Feasibility Study for Photovoltaics, Wind, solar Hot Water and Hybrid Systems

    SciTech Connect (OSTI)

    Hooks, Ronald; Montoya, Valerie

    2008-03-26

    Southwestern Indian Polytechnic Institute (SIPI) located in Albuquerque New Mexico is a community college that serves American Indians and Alaska Natives. SIPIs student body represents over 100 Native American Tribes. SIPI completed a renewable energy feasibility study program and established renewable energy hardware on the SIPI campus, which supplements and creates an educational resource to teach renewable energy courses. The SIPI campus is located, and has as student origins, areas, in which power is an issue in remote reservations. The following hardware was installed and integrated into the campus facilities: small wind turbine, large photovoltaic array that is grid-connected, two photovoltaic arrays, one thin film type, and one polycrystalline type, one dual-axis active tracker and one passive tracker, a hot air system for heating a small building, a portable hybrid photovoltaic system for remote power, and a hot water system to preheat water used in the SIPI Child Care facility. Educational curriculum has been developed for two renewable energy courses one being the study of energy production and use, and especially the roles renewable energy forms like solar, wind, geothermal, hydro, and biomass plays, and the second course being a more advanced in-depth study of renewable energy system design, maintenance, installation, and applications. Both courses rely heavily on experiential learning techniques so that installed renewable energy hardware is continuously utilized in hand-on laboratory activities and are part of the Electronics program of studies. Renewable energy technologies and science has also been included in other SIPI programs of study such as Environmental Science, Natural Resources, Agriculture, Engineering, Network Management, and Geospatial Technology.

  5. Emission assessment at the Burj Hammoud inactive municipal landfill: Viability of landfill gas recovery under the clean development mechanism

    SciTech Connect (OSTI)

    El-Fadel, Mutasem; Abi-Esber, Layale; Salhab, Samer

    2012-11-15

    Highlights: Black-Right-Pointing-Pointer LFG emissions are measured at an abandoned landfill with highly organic waste. Black-Right-Pointing-Pointer Mean headspace and vent emissions are 0.240 and 0.074 l CH{sub 4}/m{sup 2} hr, respectively. Black-Right-Pointing-Pointer At sites with high food waste content, LFG generation drops rapidly after site closure. Black-Right-Pointing-Pointer The viability of LFG recovery for CDMs in developing countries is doubtful. - Abstract: This paper examines landfill gas (LFG) emissions at a large inactive waste disposal site to evaluate the viability of investment in LFG recovery through the clean development mechanism (CDM) initiative. For this purpose, field measurements of LFG emissions were conducted and the data were processed by geospatial interpolation to estimate an equivalent site emission rate which was used to calibrate and apply two LFG prediction models to forecast LFG emissions at the site. The mean CH{sub 4} flux values calculated through tessellation, inverse distance weighing and kriging were 0.188 {+-} 0.014, 0.224 {+-} 0.012 and 0.237 {+-} 0.008 l CH{sub 4}/m{sup 2} hr, respectively, compared to an arithmetic mean of 0.24 l/m{sup 2} hr. The flux values are within the reported range for closed landfills (0.06-0.89 l/m{sup 2} hr), and lower than the reported range for active landfills (0.42-2.46 l/m{sup 2} hr). Simulation results matched field measurements for low methane generation potential (L{sub 0}) values in the range of 19.8-102.6 m{sup 3}/ton of waste. LFG generation dropped rapidly to half its peak level only 4 yrs after landfill closure limiting the sustainability of LFG recovery systems in similar contexts and raising into doubt promoted CDM initiatives for similar waste.

  6. An Integrated Modeling and Data Management Strategy for Cellulosic Biomass Production Decisions

    SciTech Connect (OSTI)

    David J. Muth Jr.; K. Mark Bryden; Joshua B. Koch

    2012-07-01

    Emerging cellulosic bioenergy markets can provide land managers with additional options for crop production decisions. Integrating dedicated bioenergy crops such as perennial grasses and short rotation woody species within the agricultural landscape can have positive impacts on several environmental processes including increased soil organic matter in degraded soils, reduced sediment loading in watersheds, lower green house gas (GHG) fluxes, and reduced nutrient loading in watersheds. Implementing this type of diverse bioenergy production system in a way that maximizes potential environmental benefits requires a dynamic integrated modeling and data management strategy. This paper presents a strategy for designing diverse bioenergy cropping systems within the existing row crop production landscape in the midwestern United States. The integrated model developed quantifies a wide range environmental processes including soil erosion from wind and water, soil organic matter changes, and soil GHG fluxes within a geospatial data management framework. This framework assembles and formats information from multiple spatial and temporal scales. The data assembled includes yield and productivity data from harvesting equipment at the 1m scale, surface topography data from LiDAR mapping at the less than 1m scale, soil data from US soil survey databases at the 10m to 100m scale, and climate data at the county scale. These models and data tools are assembled into an integrated computational environment that is used to determine sustainable removal rates for agricultural residues for bioenergy production at the sub-field scale under a wide range of land management practices. Using this integrated model, innovative management practices including cover cropping are then introduced and evaluated for their impact on bioenergy production and important environmental processes. The impacts of introducing dedicated energy crops onto high-risk landscape positions currently being manage in row crop production are also investigated.

  7. Design and application of a mobile ground-based observatory for continuous measurements of atmospheric trace gas and criteria pollutant species

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

    Bush, S. E.; Hopkins, F. M.; Randerson, J. T.; Lai, C.-T.; Ehleringer, J. R.

    2015-08-26

    Ground-based measurements of atmospheric trace gas species and criteria pollutants are essential for understanding emissions dynamics across space and time. Gas composition in the lower 50 m of the atmosphere has the greatest direct impacts on human health as well as ecosystem processes; hence data at this level are necessary for addressing carbon-cycle- and public-health-related questions. However, such surface data are generally associated with stationary measurement towers, where spatial representation is limited due to the high cost of establishing and maintaining an extensive network of measurement stations. We describe here a compact mobile laboratory equipped to provide high-precision, high-frequency, continuous,more » on-road synchronous measurements of CO2, CO, CH4, H2O, NOx, O3, aerosol, meteorological, and geospatial position data. The mobile laboratory has been deployed across the western USA. In addition to describing the vehicle and its capacity, we present data that illustrate the use of the laboratory as a powerful tool for investigating the spatial structure of urban trace gas emissions and criteria pollutants at spatial scales ranging from single streets to whole ecosystem and regional scales. We assess the magnitude of known point sources of CH4 and also identify fugitive urban CH4 emissions. We illustrate how such a mobile laboratory can be used to better understand emissions dynamics and quantify emissions ratios associated with trace gas emissions from wildfire incidents. Lastly, we discuss additional mobile laboratory applications in health and urban metabolism.« less

  8. Active Management of Integrated Geothermal-CO2 Storage Reservoirs in Sedimentary Formations

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

    Buscheck, Thomas A.

    The purpose of phase 1 is to determine the feasibility of integrating geologic CO2 storage (GCS) with geothermal energy production. Phase 1 includes reservoir analyses to determine injector/producer well schemes that balance the generation of economically useful flow rates at the producers with the need to manage reservoir overpressure to reduce the risks associated with overpressure, such as induced seismicity and CO2 leakage to overlying aquifers. Based on a range of well schemes, techno-economic analyses of the levelized cost of electricity (LCOE) are conducted to determine the economic benefits of integrating GCS with geothermal energy production. In addition to considering CO2 injection, reservoir analyses are conducted for nitrogen (N2) injection to investigate the potential benefits of incorporating N2 injection with integrated geothermal-GCS, as well as the use of N2 injection as a potential pressure-support and working-fluid option. Phase 1 includes preliminary environmental risk assessments of integrated geothermal-GCS, with the focus on managing reservoir overpressure. Phase 1 also includes an economic survey of pipeline costs, which will be applied in Phase 2 to the analysis of CO2 conveyance costs for techno-economics analyses of integrated geothermal-GCS reservoir sites. Phase 1 also includes a geospatial GIS survey of potential integrated geothermal-GCS reservoir sites, which will be used in Phase 2 to conduct sweet-spot analyses that determine where promising geothermal resources are co-located in sedimentary settings conducive to safe CO2 storage, as well as being in adequate proximity to large stationary CO2 sources.

  9. An Ontology Design Pattern for Surface Water Features

    SciTech Connect (OSTI)

    Sinha, Gaurav; Mark, David; Kolas, Dave; Varanka, Dalia; Romero, Boleslo E; Feng, Chen-Chieh; Usery, Lynn; Liebermann, Joshua; Sorokine, Alexandre

    2014-01-01

    Surface water is a primary concept of human experience but concepts are captured in cultures and languages in many different ways. Still, many commonalities can be found due to the physical basis of many of the properties and categories. An abstract ontology of surface water features based only on those physical properties of landscape features has the best potential for serving as a foundational domain ontology. It can then be used to systematically incor-porate concepts that are specific to a culture, language, or scientific domain. The Surface Water ontology design pattern was developed both for domain knowledge distillation and to serve as a conceptual building-block for more complex surface water ontologies. A fundamental distinction is made in this on-tology between landscape features that act as containers (e.g., stream channels, basins) and the bodies of water (e.g., rivers, lakes) that occupy those containers. Concave (container) landforms semantics are specified in a Dry module and the semantics of contained bodies of water in a Wet module. The pattern is imple-mented in OWL, but Description Logic axioms and a detailed explanation is provided. The OWL ontology will be an important contribution to Semantic Web vocabulary for annotating surface water feature datasets. A discussion about why there is a need to complement the pattern with other ontologies, es-pecially the previously developed Surface Network pattern is also provided. Fi-nally, the practical value of the pattern in semantic querying of surface water datasets is illustrated through a few queries and annotated geospatial datasets.

  10. Estimating contact rates at a mass gathering by using video analysis: a proof-of-concept project

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

    Rainey, Jeanette J.; Cheriyadat, Anil; Radke, Richard J.; Crumly, Julie; Koch, Daniel B.

    2014-10-24

    Current approaches for estimating social mixing patterns and infectious disease transmission at mass gatherings have been limited by various constraints, including low participation rates for volunteer-based research projects and challenges in quantifying spatially and temporally accurate person-to-person interactions. We developed a proof-of-concept project to assess the use of automated video analysis for estimating contact rates of attendees of the GameFest 2013 event at Rensselaer Polytechnic Institute (RPI) in Troy, New York. Video tracking and analysis algorithms were used to estimate the number and duration of contacts for 5 attendees during a 3-minute clip from the RPI video. Attendees were consideredmore » to have a contact event if the distance between them and another person was ≤1 meter. Contact duration was estimated in seconds. We also simulated 50 attendees assuming random mixing using a geospatially accurate representation of the same GameFest location. The 5 attendees had an overall median of 2 contact events during the 3-minute video clip (range: 0 6). Contact events varied from less than 5 seconds to the full duration of the 3- minute clip. The random mixing simulation was visualized and presented as a contrasting example. We were able to estimate the number and duration of contacts for five GameFest attendees from a 3-minute video clip that can be compared to a random mixing simulation model at the same location. In conclusion, the next phase will involve scaling the system for simultaneous analysis of mixing patterns from hours-long videos and comparing our results with other approaches for collecting contact data from mass gathering attendees.« less

  11. Active Management of Integrated Geothermal-CO2 Storage Reservoirs in Sedimentary Formations

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

    Buscheck, Thomas A.

    2012-01-01

    The purpose of phase 1 is to determine the feasibility of integrating geologic CO2 storage (GCS) with geothermal energy production. Phase 1 includes reservoir analyses to determine injector/producer well schemes that balance the generation of economically useful flow rates at the producers with the need to manage reservoir overpressure to reduce the risks associated with overpressure, such as induced seismicity and CO2 leakage to overlying aquifers. Based on a range of well schemes, techno-economic analyses of the levelized cost of electricity (LCOE) are conducted to determine the economic benefits of integrating GCS with geothermal energy production. In addition to considering CO2 injection, reservoir analyses are conducted for nitrogen (N2) injection to investigate the potential benefits of incorporating N2 injection with integrated geothermal-GCS, as well as the use of N2 injection as a potential pressure-support and working-fluid option. Phase 1 includes preliminary environmental risk assessments of integrated geothermal-GCS, with the focus on managing reservoir overpressure. Phase 1 also includes an economic survey of pipeline costs, which will be applied in Phase 2 to the analysis of CO2 conveyance costs for techno-economics analyses of integrated geothermal-GCS reservoir sites. Phase 1 also includes a geospatial GIS survey of potential integrated geothermal-GCS reservoir sites, which will be used in Phase 2 to conduct sweet-spot analyses that determine where promising geothermal resources are co-located in sedimentary settings conducive to safe CO2 storage, as well as being in adequate proximity to large stationary CO2 sources.

  12. Comparing large scale CCS deployment potential in the USA and China: a detailed analysis based on country-specific CO2 transport & storage cost curves

    SciTech Connect (OSTI)

    Dahowski, Robert T.; Davidson, Casie L.; Dooley, James J.

    2011-04-18

    The United States and China are the two largest emitters of greenhouse gases in the world and their projected continued growth and reliance on fossil fuels, especially coal, make them strong candidates for CCS. Previous work has revealed that both nations have over 1600 large electric utility and other industrial point CO2 sources as well as very large CO2 storage resources on the order of 2,000 billion metric tons (Gt) of onshore storage capacity. In each case, the vast majority of this capacity is found in deep saline formations. In both the USA and China, candidate storage reservoirs are likely to be accessible by most sources with over 80% of these large industrial CO2 sources having a CO2 storage option within just 80 km. This suggests a strong potential for CCS deployment as a meaningful option to efforts to reduce CO2 emissions from these large, vibrant economies. However, while the USA and China possess many similarities with regards to the potential value that CCS might provide, including the range of costs at which CCS may be available to most large CO2 sources in each nation, there are a number of more subtle differences that may help us to understand the ways in which CCS deployment may differ between these two countries in order for the USA and China to work together - and in step with the rest of the world - to most efficiently reduce greenhouse gas emissions. This paper details the first ever analysis of CCS deployment costs in these two countries based on methodologically comparable CO2 source and sink inventories, economic analysis, geospatial source-sink matching and cost curve modeling. This type of analysis provides a valuable insight into the degree to which early and sustained opportunities for climate change mitigation via commercial-scale CCS are available to the two countries, and could facilitate greater collaboration in areas where those opportunities overlap.

  13. The ORNL Basemapping and Imagery Project: Data collection, processing and dissemination

    SciTech Connect (OSTI)

    Tuttle, M.; Pace, P.

    1996-04-01

    Over the past three years, the GIS and Computer Modeling (GCM) Group at Oak Ridge National Laboratory (ORNL), has been engaged in creating a very comprehensive geospatial data base for Department of Energy (DOE) installations managed by the DOE Oak Ridge Operations Office (DOE-ORO). This effort encompasses topographic, planimetric, land use/land cover, flood plain, digital elevation, and digital imagery data for the Oak Ridge Reservation (ORR) and surrounding areas. The ORR covers approximately 34,800 acres and includes ORNL, the K-25 Site and the Y-12 Plant. The geographic extent of the Base Mapping and Imagery Project covers the ORR and surrounding area and two other DOE plants (Portsmouth, Ohio and Paducah, Kentucky) for a total of 166,000 acres. The resulting data represent a major improvement in the spatial accuracy and currency of data which are used as a foundation for environmental restoration, facility studies, and other GIS data applications. A GIS data server was also created in order to store and disseminate the new basemapping data. This paper describes the history of the Base Mapping and Imagery Project with emphasis on the logistical aspects of data quality assessment. data tracking, and data product work flow for a large comprehensive spatial data base. The paper then describes the evolution of the GIS data server including its design from an FTP server to a NetScape-based World Wide Web interface. This combination of data and data access provides the ORR environmental community with a carefully configured and managed GIS dataset.

  14. Coastal Ohio Wind Project

    SciTech Connect (OSTI)

    Gorsevski, Peter; Afjeh, Abdollah; Jamali, Mohsin; Bingman, Verner

    2014-04-04

    The Coastal Ohio Wind Project intends to address problems that impede deployment of wind turbines in the coastal and offshore regions of Northern Ohio. The project evaluates different wind turbine designs and the potential impact of offshore turbines on migratory and resident birds by developing multidisciplinary research, which involves wildlife biology, electrical and mechanical engineering, and geospatial science. Firstly, the project conducts cost and performance studies of two- and three-blade wind turbines using a turbine design suited for the Great Lakes. The numerical studies comprised an analysis and evaluation of the annual energy production of two- and three-blade wind turbines to determine the levelized cost of energy. This task also involved wind tunnel studies of model wind turbines to quantify the wake flow field of upwind and downwind wind turbine-tower arrangements. The experimental work included a study of a scaled model of an offshore wind turbine platform in a water tunnel. The levelized cost of energy work consisted of the development and application of a cost model to predict the cost of energy produced by a wind turbine system placed offshore. The analysis found that a floating two-blade wind turbine presents the most cost effective alternative for the Great Lakes. The load effects studies showed that the two-blade wind turbine model experiences less torque under all IEC Standard design load cases considered. Other load effects did not show this trend and depending on the design load cases, the two-bladed wind turbine showed higher or lower load effects. The experimental studies of the wake were conducted using smoke flow visualization and hot wire anemometry. Flow visualization studies showed that in the downwind turbine configuration the wake flow was insensitive to the presence of the blade and was very similar to that of the tower alone. On the other hand, in the upwind turbine configuration, increasing the rotor blade angle of attack reduced the wake size and enhanced the vortices in the flow downstream of the turbine-tower compared with the tower alone case. Mean and rms velocity distributions from hot wire anemometer data confirmed that in a downwind configuration, the wake of the tower dominates the flow, thus the flow fields of a tower alone and tower-turbine combinations are nearly the same. For the upwind configuration, the mean velocity shows a narrowing of the wake compared with the tower alone case. The downwind configuration wake persisted longer than that of an upwind configuration; however, it was not possible to quantify this difference because of the size limitation of the wind tunnel downstream of the test section. The water tunnel studies demonstrated that the scale model studies could be used to adequately produce accurate motions to model the motions of a wind turbine platform subject to large waves. It was found that the important factors that affect the platform is whether the platform is submerged or surface piercing. In the former, the loads on the platform will be relatively reduced whereas in the latter case, the structure pierces the wave free surface and gains stiffness and stability. The other important element that affects the movement of the platform is depth of the sea in which the wind turbine will be installed. Furthermore, the wildlife biology component evaluated migratory patterns by different monitoring systems consisting of marine radar, thermal IR camera and acoustic recorders. The types of radar used in the project are weather surveillance radar and marine radar. The weather surveillance radar (1988 Doppler), also known as Next Generation Radar (NEXRAD), provides a network of weather stations in the US. Data generated from this network were used to understand general migratory patterns, migratory stopover habitats, and other patterns caused by the effects of weather conditions. At a local scale our marine radar was used to complement the datasets from NEXRAD and to collect additional monitoring parameters such as passage rates, flight paths, flight directions, and flight altitudes of nocturnal migrating species. Our work focused on the design and development of custom built marine radar that used t-bar and parabolic dish antennas. The marine radar used in the project was Furuno (XANK250) which was coupled with a XIR3000B digitizing card from Russell Technologies for collection of the radar data. The radar data was processed by open source radR processing software using different computational techniques and methods. Additional data from thermal IR imaging cameras were collected to detect heat emitted from objects and provide information on movements of birds and bats, data which we used for different animal flight behavior analysis. Lastly, the data from the acoustic recorders were used to provide the number of bird calls for assessing patterns and peak passage rates during migration. The development of the geospatial database included collection of different data sources that are used to support offshore wind turbine development. Many different data sets were collected and organized using initial version of web-based repository software tools that can accommodate distribution of rectified pertinent data sets such as the lake depth, lake bottom engineering parameters, extent of ice, navigation pathways, wind speed, important bird habitats, fish efforts and other layers that are relevant for supporting robust offshore wind turbine developments. Additional geospatial products developed during the project included few different prototypes for offshore wind farm suitability which can involve different stakeholders and participants for solving complex planning problems and building consensus. Some of the prototypes include spatial decision support system (SDSS) for collaborative decision making, a web-based Participatory Geographic Information System (PGIS) framework for evaluating importance of different decision alternatives using different evaluation criteria, and an Android application for collection of field data using mobile and tablet devices . In summary, the simulations of two- and three-blade wind turbines suggested that two-bladed machines could produce comparable annual energy as the three-blade wind turbines but have a lighter tower top weight, which leads to lower cost of energy. In addition, the two-blade rotor configuration potentially costs 20% less than a three blade configuration that produces the same power at the same site. The cost model analysis predicted a potential cost savings of approximately 15% for offshore two-blade wind turbines. The foundation design for a wind turbine in Lake Erie is likely to be driven by ice loads based on the currently available ice data and ice mechanics models. Hence, for Lake Eire, the cost savings will be somewhat smaller than the other lakes in the Great Lakes. Considering the size of cranes and vessels currently available in the Great Lakes, the cost optimal wind turbine size should be 3 MW, not larger. The surveillance data from different monitoring systems suggested that bird and bat passage rates per hour were comparable during heavy migrations in both spring and fall seasons while passage rates were significantly correlated to wind directions and wind speeds. The altitude of migration was higher during heavy migrations and higher over water relative to over land. Notable portions of migration on some spring nights occurred parallel the shoreline, often moving perpendicular to southern winds. The birds approaching the Western basin have a higher propensity to cross than birds approaching the Central basin of Lake Erie and as such offshore turbine development might be a better option further east towards Cleveland than in the Western basin. The high stopover density was more strongly associated with migration volume the following night rather than the preceding night. The processed mean scalar wind speeds with temporal resolutions as fine as 10-minute intervals near turbine height showed that August is the month with the weakest winds while December is the month, which typically has the strongest winds. The ice data suggests that shallow western basin of Lake Erie has higher ice cover duration many times exceeding 90 days during some winters.

  15. Climate policy implications for agricultural water demand

    SciTech Connect (OSTI)

    Chaturvedi, Vaibhav; Hejazi, Mohamad I.; Edmonds, James A.; Clarke, Leon E.; Kyle, G. Page; Davies, Evan; Wise, Marshall A.; Calvin, Katherine V.

    2013-03-28

    Energy, water and land are scarce resources, critical to humans. Developments in each affect the availability and cost of the others, and consequently human prosperity. Measures to limit greenhouse gas concentrations will inevitably exact dramatic changes on energy and land systems and in turn alter the character, magnitude and geographic distribution of human claims on water resources. We employ the Global Change Assessment Model (GCAM), an integrated assessment model to explore the interactions of energy, land and water systems in the context of alternative policies to limit climate change to three alternative levels: 2.5 Wm-2 (445 ppm CO2-e), 3.5 Wm-2 (535 ppm CO2-e) and 4.5 Wm-2 (645 ppm CO2-e). We explore the effects of two alternative land-use emissions mitigation policy options—one which taxes terrestrial carbon emissions equally with fossil fuel and industrial emissions, and an alternative which only taxes fossil fuel and industrial emissions but places no penalty on land-use change emissions. We find that increasing populations and economic growth could be anticipated to almost triple demand for water for agricultural systems across the century even in the absence of climate policy. In general policies to mitigate climate change increase agricultural demands for water still further, though the largest changes occur in the second half of the century, under both policy regimes. The two policies examined profoundly affected both the sources and magnitudes of the increase in irrigation water demands. The largest increases in agricultural irrigation water demand occurred in scenarios where only fossil fuel emissions were priced (but not land-use change emission) and were primarily driven by rapid expansion in bioenergy production. In these scenarios water demands were large relative to present-day total available water, calling into question whether it would be physically possible to produce the associated biomass energy. We explored the potential of improved water delivery and irrigation system efficiencies. These could potentially reduce demands substantially. However, overall demands remained high under our fossil-fuel-only tax policy. In contrast, when all carbon was priced, increases in agricultural water demands were smaller than under the fossil-fuel-only policy and were driven primarily by increased demands for water by non-biomass crops such as rice. Finally we estimate the geospatial pattern of water demands and find that regions such as China, India and other countries in south and east Asia might be expected to experience greatest increases in water demands. 

  16. Climate Mitigation Policy Implications for Global Irrigation Water Demand

    SciTech Connect (OSTI)

    Chaturvedi, Vaibhav; Hejazi, Mohamad I.; Edmonds, James A.; Clarke, Leon E.; Kyle, G. Page; Davies, Evan; Wise, Marshall A.

    2013-08-22

    Energy, water and land are scarce resources, critical to humans. Developments in each affect the availability and cost of the others, and consequently human prosperity. Measures to limit greenhouse gas concentrations will inevitably exact dramatic changes on energy and land systems and in turn alter the character, magnitude and geographic distribution of human claims on water resources. We employ the Global Change Assessment Model (GCAM), an integrated assessment model to explore the interactions of energy, land and water systems in the context of alternative policies to limit climate change to three alternative levels: 2.5 Wm-2 (445 ppm CO2-e), 3.5 Wm-2 (535 ppm CO2-e) and 4.5 Wm-2 (645 ppm CO2-e). We explore the effects of alternative land-use emissions mitigation policy optionsone which values terrestrial carbon emissions equally with fossil fuel and industrial emissions, and an alternative which places no penalty on land-use change emissions. We find that increasing populations and economic growth could be anticipated to lead to increased demand for water for agricultural systems (+200%), even in the absence of climate change. In general policies to mitigate climate change will increase agricultural demands for water, regardless of whether or not terrestrial carbon is valued or not. Burgeoning demands for water are driven by the demand for bioenergy in response to emissions mitigation policies. We also find that the policy matters. Increases in the demand for water when terrestrial carbon emissions go un-prices are vastly larger than when terrestrial system carbon emissions are prices at the same rate as fossil fuel and industrial emissions. Our estimates for increased water demands when terrestrial carbon systems go un-priced are larger than earlier studies. We find that the deployment of improved irrigation delivery systems could mitigate some of the increase in water demands, but cannot reverse the increases in water demands when terrestrial carbon emissions go un-priced. Finally we estimates that the geospatial pattern of water demands could stress some parts of the world, e.g. China, India and other countries in south and east Asia, earlier and more intensely than in other parts of the world, e.g. North America.

  17. Identifying and Mitigating Potential Nutrient and Sediment Hot Spots under a Future Scenario in the Missouri River Basin

    SciTech Connect (OSTI)

    Wu, May; Zhang, Zhonglong

    2015-09-01

    Using the Soil and Water Assessment Tool (SWAT) for large-scale watershed modeling could be useful for evaluating the quality of the water in regions that are dominated by nonpoint sources in order to identify potential “hot spots” for which mitigating strategies could be further developed. An analysis of water quality under future scenarios in which changes in land use would be made to accommodate increased biofuel production was developed for the Missouri River Basin (MoRB) based on a SWAT model application. The analysis covered major agricultural crops and biofuel feedstock in the MoRB, including pasture land, hay, corn, soybeans, wheat, and switchgrass. The analysis examined, at multiple temporal and spatial scales, how nitrate, organic nitrogen, and total nitrogen; phosphorus, organic phosphorus, inorganic phosphorus, and total phosphorus; suspended sediments; and water flow (water yield) would respond to the shifts in land use that would occur under proposed future scenarios. The analysis was conducted at three geospatial scales: (1) large tributary basin scale (two: Upper MoRB and Lower MoRB); (2) regional watershed scale (seven: Upper Missouri River, Middle Missouri River, Middle Lower Missouri River, Lower Missouri River, Yellowstone River, Platte River, and Kansas River); and (3) eight-digit hydrologic unit (HUC-8) subbasin scale (307 subbasins). Results showed that subbasin-level variations were substantial. Nitrogen loadings decreased across the entire Upper MoRB, and they increased in several subbasins in the Lower MoRB. Most nitrate reductions occurred in lateral flow. Also at the subbasin level, phosphorus in organic, sediment, and soluble forms was reduced by 35%, 45%, and 65%, respectively. Suspended sediments increased in 68% of the subbasins. The water yield decreased in 62% of the subbasins. In the Kansas River watershed, the water quality improved significantly with regard to every nitrogen and phosphorus compound. The improvement was clearly attributable to the conversion of a large amount of land to switchgrass. The Middle Lower Missouri River and Lower Missouri River were identified as hot regions. Further analysis identified four subbasins (10240002, 10230007, 10290402, and 10300200) as being the most vulnerable in terms of sediment, nitrogen, and phosphorus loadings. Overall, results suggest that increasing the amount of switchgrass acreage in the hot spots should be considered to mitigate the nutrient loads. The study provides an analytical method to support stakeholders in making informed decisions that balance biofuel production and water sustainability.

  18. Crowdsourcing, citizen sensing and Sensor Web technologies for public and environmental health surveillance and crisis management: trends, OGC standards and application examples

    SciTech Connect (OSTI)

    Kamel Boulos, Maged; Resch, Bernd; Crowley, David N.; Breslin, John G.; Sohn, Gunho; Burtner, Edwin R.; Pike, William A.; Jeziersk, Eduardo; Slayer Chuang, Kuo Yu

    2011-12-21

    The PIE Activity Awareness Environment is designed to be an adaptive data triage and decision support tool that allows role and activity based situation awareness through a dynamic, trainable filtering system. This paper discusses the process and methodology involved in the application as well as some of its capabilities. 'Wikification of GIS by the masses' is a phrase-term first coined by Kamel Boulos in 2005, two years earlier than Goodchild's term 'Volunteered Geographic Information'. Six years later (2005-2011), OpenStreetMap and Google Earth (GE) are now full-fledged, crowdsourced 'Wikipedias of the Earth' par excellence, with millions of users contributing their own layers to GE, attaching photos, videos, notes and even 3-D (three dimensional) models to locations in GE. From using Twitter in participatory sensing and bicycle-mounted sensors in pervasive environmental sensing, to creating a 100,000-sensor geo-mashup using Semantic Web technology, to the 3-D visualisation of indoor and outdoor surveillance data in real-time and the development of next-generation, collaborative natural user interfaces that will power the spatially-enabled public health and emergency situation rooms of the future, where sensor data and citizen reports can be triaged and acted upon in real-time by distributed teams of professionals, this paper offers a comprehensive state-of-the-art review of the overlapping domains of the Sensor Web, citizen sensing and 'human-in-the-loop sensing' in the era of the Mobile and Social Web, and the roles these domains can play in environmental and public health surveillance and crisis/disaster informatics. We provide an in-depth review of the key issues and trends in these areas, the challenges faced when reasoning and making decisions with real-time crowdsourced data (such as issues of information overload, 'noise', misinformation, bias and trust), the core technologies and Open Geospatial Consortium (OGC) standards involved (Sensor Web Enablement and Open GeoSMS), as well as a few outstanding project implementation examples from around the world.

  19. Final Report Phase I Study to Characterize the Market Potential for Non-Motorized Travel

    SciTech Connect (OSTI)

    Hwang, Ho-Ling [ORNL; Reuscher, Tim [Macrosys; Wilson, Daniel W [ORNL; Schmoyer, Richard L [ORNL

    2012-06-01

    The idea of livable communities suggests that people should have the option to utilize non-motorized travel (NMT), specifically walking and bicycling, to conduct their daily tasks. Forecasting personal travel by walk and bike is necessary as part of regional transportation planning, and requires fine detail not only about individual travel, but also on transportation and neighborhood infrastructure. In an attempt to characterize the 'market' potential for NMT, the Office of Planning, Federal Highway Administration (FHWA) funded the Center for Transportation Analysis (CTA) of the Oak Ridge National Laboratory (ORNL) to conduct a study. The objectives of this effort were to identify factors that influence communities to walk and bike and to examine why, or why not, travelers walk and bike in their communities. This study relied on information collected under the 2009 National Household Travel Survey (NHTS) as the major source of data, and was supplemented with data from the American Community Survey (ACS), educational survey, health, employment, and others. Initial statistical screening methods were applied to sort through over 400 potential predictor variables, and examined with various measures (e.g., walk trip per person, walk mileage per person, bike trip per person, bike mileage per person) as the dependent variables. The best geographic level of detail used in the modeling for this study was determined to be the Census block group level for walking and Census tract level for biking. The need for additional supplemental private data (i.e., Walk Scores and Nielsen employment data), and geospatial information that reflects land use and physical environments, became evident after an examination of findings from the initial screening models. To be feasible, in terms of costs and time, the geographic scale of the study region was scaled down to nine selected NHTS add-on regions. These regions were chosen based on various criteria including transit availability, population size, and a mix of geographic locations across the nation. Given the similarities in modeling results from walk trips and walk mileages, additional modeling efforts conducted under the later part of this study were focused on walk trips per person. Bike models were limited only with the stepwise logistic models using Census tracts in the selected regions. Due to NHTS sampling limitations, only about 12% of these tracts have bike trips recorded from NHTS sampled households. The modeling with NHTS bike data proved to be more challenging and time consuming than what was anticipated. Along with the late arrival of Nielsen employment data, the project team had to limit the modeling effort to focus on walking. Therefore, the final modeling and discriminant analysis was conducted only for walking trips.

  20. THE NEW ONLINE METADATA EDITOR FOR GENERATING STRUCTURED METADATA

    SciTech Connect (OSTI)

    Devarakonda, Ranjeet; Shrestha, Biva; Palanisamy, Giri; Hook, Leslie A; Killeffer, Terri S; Boden, Thomas A; Cook, Robert B; Zolly, Lisa; Hutchison, Viv; Frame, Mike; Cialella, Alice; Lazer, Kathy

    2014-01-01

    Nobody is better suited to describe data than the scientist who created it. This description about a data is called Metadata. In general terms, Metadata represents the who, what, when, where, why and how of the dataset [1]. eXtensible Markup Language (XML) is the preferred output format for metadata, as it makes it portable and, more importantly, suitable for system discoverability. The newly developed ORNL Metadata Editor (OME) is a Web-based tool that allows users to create and maintain XML files containing key information, or metadata, about the research. Metadata include information about the specific projects, parameters, time periods, and locations associated with the data. Such information helps put the research findings in context. In addition, the metadata produced using OME will allow other researchers to find these data via Metadata clearinghouses like Mercury [2][4]. OME is part of ORNL s Mercury software fleet [2][3]. It was jointly developed to support projects funded by the United States Geological Survey (USGS), U.S. Department of Energy (DOE), National Aeronautics and Space Administration (NASA) and National Oceanic and Atmospheric Administration (NOAA). OME s architecture provides a customizable interface to support project-specific requirements. Using this new architecture, the ORNL team developed OME instances for USGS s Core Science Analytics, Synthesis, and Libraries (CSAS&L), DOE s Next Generation Ecosystem Experiments (NGEE) and Atmospheric Radiation Measurement (ARM) Program, and the international Surface Ocean Carbon Dioxide ATlas (SOCAT). Researchers simply use the ORNL Metadata Editor to enter relevant metadata into a Web-based form. From the information on the form, the Metadata Editor can create an XML file on the server that the editor is installed or to the user s personal computer. Researchers can also use the ORNL Metadata Editor to modify existing XML metadata files. As an example, an NGEE Arctic scientist use OME to register their datasets to the NGEE data archive and allows the NGEE archive to publish these datasets via a data search portal (http://ngee.ornl.gov/data). These highly descriptive metadata created using OME allows the Archive to enable advanced data search options using keyword, geo-spatial, temporal and ontology filters. Similarly, ARM OME allows scientists or principal investigators (PIs) to submit their data products to the ARM data archive. How would OME help Big Data Centers like the Oak Ridge National Laboratory Distributed Active Archive Center (ORNL DAAC)? The ORNL DAAC is one of NASA s Earth Observing System Data and Information System (EOSDIS) data centers managed by the Earth Science Data and Information System (ESDIS) Project. The ORNL DAAC archives data produced by NASA's Terrestrial Ecology Program. The DAAC provides data and information relevant to biogeochemical dynamics, ecological data, and environmental processes, critical for understanding the dynamics relating to the biological, geological, and chemical components of the Earth's environment. Typically data produced, archived and analyzed is at a scale of multiple petabytes, which makes the discoverability of the data very challenging. Without proper metadata associated with the data, it is difficult to find the data you are looking for and equally difficult to use and understand the data. OME will allow data centers like the NGEE and ORNL DAAC to produce meaningful, high quality, standards-based, descriptive information about their data products in-turn helping with the data discoverability and interoperability. Useful Links: USGS OME: http://mercury.ornl.gov/OME/ NGEE OME: http://ngee-arctic.ornl.gov/ngeemetadata/ ARM OME: http://archive2.ornl.gov/armome/ Contact: Ranjeet Devarakonda (devarakondar@ornl.gov) References: [1] Federal Geographic Data Committee. Content standard for digital geospatial metadata. Federal Geographic Data Committee, 1998. [2] Devarakonda, Ranjeet, et al. "Mercury: reusable metadata management, data discovery and access system." Earth Science Informatics 3.1-2 (2010): 87-94. [3] Wilson, B. E., Palanisamy, G., Devarakonda, R., Rhyne, B. T., Lindsley, C., & Green, J. (2010). Mercury Toolset for Spatiotemporal Metadata. [4] Pouchard, L. C., Branstetter, M. L., Cook, R. B., Devarakonda, R., Green, J., Palanisamy, G., ... & Noy, N. F. (2013). A Linked Science investigation: enhancing climate change data discovery with semantic technologies. Earth science informatics, 6(3), 175-185.

  1. Integrated Synthesis of the Permian Basin: Data and Models for Recovering Existing and Undiscovered Oil Resources from the Largest Oil-Bearing Basin in the U.S.

    SciTech Connect (OSTI)

    John Jackson; Katherine Jackson

    2008-09-30

    Large volumes of oil and gas remain in the mature basins of North America. This is nowhere more true than in the Permian Basin of Texas and New Mexico. A critical barrier to recovery of this vast remaining resource, however, is information. Access to accurate geological data and analyses of the controls of hydrocarbon distribution is the key to the knowledge base as well as the incentives needed by oil and gas companies. The goals of this project were to collect, analyze, synthesize, and deliver to industry and the public fundamental information and data on the geology of oil and gas systems in the Permian Basin. This was accomplished in two ways. First we gathered all available data, organized it, and placed it on the web for ready access. Data include core analysis data, lists of pertinent published reports, lists of available cores, type logs, and selected PowerPoint presentations. We also created interpretive data such as type logs, geological cross sections, and geological maps and placed them in a geospatially-registered framework in ARC/GIS. Second, we created new written syntheses of selected reservoir plays in the Permian basin. Although only 8 plays were targeted for detailed analysis in the project proposal to DOE, 14 were completed. These include Ellenburger, Simpson, Montoya, Fusselman, Wristen, Thirtyone, Mississippian, Morrow, Atoka, Strawn, Canyon/Cisco, Wolfcamp, Artesia Group, and Delaware Mountain Group. These fully illustrated reports include critical summaries of published literature integrated with new unpublished research conducted during the project. As such these reports provide the most up-to-date analysis of the geological controls on reservoir development available. All reports are available for download on the project website and are also included in this final report. As stated in our proposal, technology transfer is perhaps the most important component of the project. In addition to providing direct access to data and reports through the web, we published 29 papers dealing with aspects of Permian Basin and Fort Worth Basin Paleozoic geology, and gave 35 oral and poster presentations at professional society meetings, and 116 oral and poster presentations at 10 project workshops, field trips, and short courses. These events were attended by hundreds of scientists and engineers representing dozens of oil and gas companies. This project and the data and interpretations that have resulted from it will serve industry, academic, and public needs for decades to come. It will be especially valuable to oil and gas companies in helping to better identify opportunities for development and exploration and reducing risk. The website will be continually added to and updated as additional data and information become available making it a long term source of key information for all interested in better understanding the Permian Basin.

  2. Final Report: Phase II Nevada Water Resources Data, Modeling, and Visualization (DMV) Center

    SciTech Connect (OSTI)

    Jackman, Thomas; Minor, Timothy; Pohll, Gregory

    2013-07-22

    Water is unquestionably a critical resource throughout the United States. In the semi-arid west -- an area stressed by increase in human population and sprawl of the built environment -- water is the most important limiting resource. Crucially, science must understand factors that affect availability and distribution of water. To sustain growing consumptive demand, science needs to translate understanding into reliable and robust predictions of availability under weather conditions that could be average but might be extreme. These predictions are needed to support current and long-term planning. Similar to the role of weather forecast and climate prediction, water prediction over short and long temporal scales can contribute to resource strategy, governmental policy and municipal infrastructure decisions, which are arguably tied to the natural variability and unnatural change to climate. Change in seasonal and annual temperature, precipitation, snowmelt, and runoff affect the distribution of water over large temporal and spatial scales, which impact the risk of flooding and the groundwater recharge. Anthropogenic influences and impacts increase the complexity and urgency of the challenge. The goal of this project has been to develop a decision support framework of data acquisition, digital modeling, and 3D visualization. This integrated framework consists of tools for compiling, discovering and projecting our understanding of processes that control the availability and distribution of water. The framework is intended to support the analysis of the complex interactions between processes that affect water supply, from controlled availability to either scarcity or deluge. The developed framework enables DRI to promote excellence in water resource management, particularly within the Lake Tahoe basin. In principle, this framework could be replicated for other watersheds throughout the United States. Phase II of this project builds upon the research conducted during Phase I, in which the hydrologic framework was investigated and the development initiated. Phase II concentrates on practical implementation of the earlier work but emphasizes applications to the hydrology of the Lake Tahoe basin. Phase 1 efforts have been refined and extended by creating a toolset for geographic information systems (GIS) that is usable for disparate types of geospatial and geo-referenced data. The toolset is intended to serve multiple users for a variety of applications. The web portal for internet access to hydrologic and remotely sensed product data, prototyped in Phase I, has been significantly enhanced. The portal provides high performance access to LANDSAT-derived data using techniques developed during the course of the project. The portal is interactive, and supports the geo-referenced display of hydrologic information derived from remotely sensed data, such as various vegetative indices used to calculate water consumption. The platform can serve both internal and external constituencies using inter-operating infrastructure that spans both sides of the DRI firewall. The platform is intended grow its supported data assets and to serve as a template for replication to other geographic areas. An unanticipated development during the project was the use of ArcGIS software on a new computer system, called the IBM PureSytems, and the parallel use of the systems for faster, more efficient image processing. Additional data, independent of the portal, was collected within the Sagehen basin and provides detailed information regarding the processes that control hydrologic responses within mountain watersheds. The newly collected data include elevation, evapotranspiration, energy balance and remotely sensed snow-pack data. A Lake Tahoe basin hydrologic model has been developed, in part to help predict the hydrologic impacts of climate change. The model couples both the surface and subsurface hydrology, with the two components having been independently calibrated. Results from the coupled simulations involving both surface water and groundwater processes

  3. A Holistic Framework for Environmental Flows Determination in Hydropower Contexts

    SciTech Connect (OSTI)

    McManamay, Ryan A; Bevelhimer, Mark S

    2013-05-01

    Among the ecological science community, the consensus view is that the natural flow regime sustains the ecological integrity of river systems. This prevailing viewpoint by many environmental stakeholders has progressively led to increased pressure on hydropower dam owners to change plant operations to affect downstream river flows with the intention of providing better conditions for aquatic biological communities. Identifying the neccessary magnitude, frequency, duration, timing, or rate of change of stream flows to meet ecological needs in a hydropower context is challenging because the ecological responses to changes in flows may not be fully known, there are usually a multitude of competing users of flow, and implementing environmental flows usually comes at a price to energy production. Realistically, hydropower managers must develop a reduced set of goals that provide the most benefit to the identified ecological needs. As a part of the Department of Energy (DOE) Water Power Program, the Instream Flow Project (IFP) was carried out by Oak Ridge National Laboratory (ORNL), Pacific Northwest National Laboratory (PNNL), and Argon National Laboratory (ANL) as an attempt to develop tools aimed at defining environmental flow needs for hydropower operations. The application of these tools ranges from national to site-specific scales; thus, the utility of each tool will depend on various phases of the environmental flow process. Given the complexity and sheer volume of applications used to determine environmentally acceptable flows for hydropower, a framework is needed to organize efforts into a staged process dependent upon spatial, temporal, and functional attributes. By far, the predominant domain for determining environmental flows related to hydropower is within the Federal Energy Regulatory Commission (FERC) relicensing process. This process can take multiple years and can be very expensive depending on the scale of each hydropower project. The utility of such a framework is that it can expedite the environmental flow process by 1) organizing data and applications to identify predictable relationships between flows and ecology, and 2) suggesting when and where tools should be used in the environmental flow process. In addition to regulatory procedures, a framework should also provide the coordination for a comprehensive research agenda to guide the science of environmental flows. This research program has further reaching benefits than just environmental flow determination by providing modeling applications, data, and geospatial layers to inform potential hydropower development. We address several objectives within this document that highlight the limitations of existing environmental flow paradigms and their applications to hydropower while presenting a new framework catered towards hydropower needs. Herein, we address the following objectives: 1) Provide a brief overview of the Natural Flow Regime paradigm and existing environmental flow frameworks that have been used to determine ecologically sensitive stream flows for hydropower operations. 2) Describe a new conceptual framework to aid in determining flows needed to meet ecological objectives with regard to hydropower operations. The framework is centralized around determining predictable relationships between flow and ecological responses. 3) Provide evidence of how efforts from ORNL, PNNL, and ANL have filled some of the gaps in this broader framework, and suggest how the framework can be used to set the stage for a research agenda for environmental flow.