National Library of Energy BETA

Sample records for resource datasets modeled

  1. Models Datasets

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration wouldMass map shines light on77 PAGEMission MissionModeling distributed generation in8 May

  2. Models and Datasets

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration wouldMass map shines light on77 PAGEMission MissionModeling distributed generation in8

  3. Bhutan Solar Resources - Datasets - OpenEI Datasets

    Open Energy Info (EERE)

    Bhutan Solar Resources GIS data for Bhutan's direct normal irradiance (DNI), global horizontal irradianc, and latitude tilt. Data and Resources Bhutan Direct normal irradianceZIP...

  4. Afghanistan Pakistan High Resolution Wind Resource - Datasets...

    Open Energy Info (EERE)

    Pakistan High Resolution Wind Resource This shapefile containing 50 meter height data has been validated by NREL and wind energy meteorological consultants. However, the data is...

  5. BP-12 Final Models Datasets

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 OutreachProductswsicloudwsiclouddenDVA N C E D B L O O DBiomassBudget BasicDeliveringOverview: ProgressR8

  6. Rhode Island High Resolution Wind Resource - Datasets - OpenEI...

    Open Energy Info (EERE)

    Detailed license and usage information for this dataset Preview Download 50m GIS NREL Rhode Island energy high resoltuion renewable shapefile wind wind data wind...

  7. test dataset - Datasets - OpenEI Datasets

    Open Energy Info (EERE)

    test dataset Data and Resources Unnamed resourceinp More info Download Additional Info Field Value Package Relationships Relationship Dataset License License Not Specified Share on...

  8. Wind Resources by Class and Country At 50m - Datasets - OpenEI Datasets

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page| Open Energy Information Serbia-EnhancingEtGeorgia:Illinois: Energy ResourcesTurboPower IncHomesWindWind Resources by

  9. Solar Resources by Class and Country - Datasets - OpenEI Datasets

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page| Open Energy Information Serbia-Enhancing Capacity forSilicium deEnergyCompany Limited SPC JumpSolar Resources by

  10. NREL GIS Data: Bhutan High Resolution Wind Resource - Datasets...

    Open Energy Info (EERE)

    NREL GIS Data: Bhutan High Resolution Wind Resource This shapefile containing 50 meter height data has been validated by NREL and wind energy meteorological consultants. However,...

  11. The Earth System Grid Center for Enabling Technologies: Focusing Technologies on Climate Datasets and Resource Needs

    SciTech Connect (OSTI)

    Williams, Dean N. [Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)

    2007-09-26

    This report discusses a project that used prototyping technology to access and analyze climate data. This project was initially funded under the DOE’s Next Generation Internet (NGI) program, with follow-on support from BER and the Mathematical, Information, and Computational Sciences (MICS) office. In this prototype, we developed Data Grid technologies for managing the movement and replication of large datasets, and applied these technologies in a practical setting (i.e., an ESG-enabled data browser based on current climate data analysis tools), achieving cross-country transfer rates of more than 500 Mb/s. Having demonstrated the potential for remotely accessing and analyzing climate data located at sites across the U.S., we won the “Hottest Infrastructure” award in the Network Challenge event. While the ESG I prototype project substantiated a proof of concept (“Turning Climate Datasets into Community Resources”), the SciDAC Earth System Grid (ESG) II project made this a reality. Our efforts targeted the development of metadata technologies (standard schema, XML metadata extraction based on netCDF, and a Metadata Catalog Service), security technologies (Web-based user registration and authentication, and community authorization), data transport technologies (GridFTPenabled OPeNDAP-G for high-performance access, robust multiple file transport and integration with mass storage systems, and support for dataset aggregation and subsetting), as well as web portal technologies to provide interactive access to climate data holdings. At this point, the technology was in place and assembled, and ESG II was poised to make a substantial impact on the climate modelling community.

  12. Dataset used to improve liquid water absorption models in the microwave

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

    Turner, David

    2015-12-14

    Two datasets, one a compilation of laboratory data and one a compilation from three field sites, are provided here. These datasets provide measurements of the real and imaginary refractive indices and absorption as a function of cloud temperature. These datasets were used in the development of the new liquid water absorption model that was published in Turner et al. 2015.

  13. Advancements in Wind Integration Study Data Modeling: The Wind Integration National Dataset (WIND) Toolkit; Preprint

    SciTech Connect (OSTI)

    Draxl, C.; Hodge, B. M.; Orwig, K.; Jones, W.; Searight, K.; Getman, D.; Harrold, S.; McCaa, J.; Cline, J.; Clark, C.

    2013-10-01

    Regional wind integration studies in the United States require detailed wind power output data at many locations to perform simulations of how the power system will operate under high-penetration scenarios. The wind data sets that serve as inputs into the study must realistically reflect the ramping characteristics, spatial and temporal correlations, and capacity factors of the simulated wind plants, as well as be time synchronized with available load profiles. The Wind Integration National Dataset (WIND) Toolkit described in this paper fulfills these requirements. A wind resource dataset, wind power production time series, and simulated forecasts from a numerical weather prediction model run on a nationwide 2-km grid at 5-min resolution will be made publicly available for more than 110,000 onshore and offshore wind power production sites.

  14. A Novel Industry Grade Dataset for Fault Prediction based on Model-Driven Developed

    E-Print Network [OSTI]

    A Novel Industry Grade Dataset for Fault Prediction based on Model-Driven Developed Automotive a novel industry dataset on static software and change metrics for Matlab/Simulink models and their corresponding auto-generated C source code. The data set comprises data of three automotive projects developed

  15. Impact Assessment of Satellite-Derived Leaf Area Index Datasets Using a General Circulation Model

    E-Print Network [OSTI]

    Xue, Yongkang

    Impact Assessment of Satellite-Derived Leaf Area Index Datasets Using a General Circulation Model the impact of two different remote sensing­derived leaf area index (RSLAI) datasets retrieved from the same using the RSLAI and other satellite-derived land surface products showed sub- stantial improvements

  16. Nuclear Mass Datasets and Models at nuclearmasses.org

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

    This online repository for nuclear mass information allows nuclear researchers to upload their own mass values, store then, share them with colleagues, and, in turn, visualize and analyze the work of others. The Resources link provides access to published information or tools on other websites. The Contributions page is where users will find software, documents, experimental mass data sets, and theoretical mass models that have been uploaded for sharing with the scientific community.

  17. Fact #871: May 4, 2015 Most Manufacturers Have Positive CAFE Credit Balances at the End of Model Year 2013 – Dataset

    Broader source: Energy.gov [DOE]

    Excel file and dataset for Most Manufacturers Have Positive CAFE Credit Balances at the End of Model Year 2013

  18. Equilibrium Response and Transient Dynamics Datasets from VEMAP: Vegetation/Ecosystem Modeling and Analysis Project

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

    Users of the VEMAP Portal can access input files of numerical data that include monthly and daily files of geographic data, soil and site files, scenario files, etc. Model results from Phase I, the Equilibrium Response datasets, are available through the NCAR anonymous FTP site at http://www.cgd.ucar.edu/vemap/vresults.html. Phase II, Transient Dynamics, include climate datasets, models results, and analysis tools. Many supplemental files are also available from the main data page at http://www.cgd.ucar.edu/vemap/datasets.html.

  19. Preliminary firn-densification model with 38-site dataset M. K. Spencer,1

    E-Print Network [OSTI]

    Creyts, Timothy T.

    in a simple physical model for different stages of time-dependent firn densification. Our model works as well-dependent uncertainties, and because different models may perform better in different tempera- ture, accumulation, densityPreliminary firn-densification model with 38-site dataset M. K. Spencer,1 R. B. Alley,1 T. T

  20. Combining Weather Data for a Dataset Sufficient for Generating High-Resolution Weather Prediction Models

    SciTech Connect (OSTI)

    Fox, Jared B.; Ghan, Steven J.

    2004-03-01

    Assessments of the effects of climate change typically require information at scales of 10 km or less. In regions with complex terrain, much of the spatial variability in climate (temperature, precipitation, and snow water) occurs on scales below 10 km. Since the typical global climate model simulations grid size is more than 200 km, it is necessary to develop models with much higher resolution. Unfortunately, no datasets currently produced are both highly accurate and provide data at a sufficiently high resolution. As a result, current global climate models are forced to ignore the important climate variations that occur below the 200 km scale. This predicament prompted the creation of a global hybrid dataset with information for precipitation, temperature, and relative humidity. The resulting dataset illustrated the importance of having high-resolution datasets and gives clear proof that regions with complex terrain require a fine resolution grid to give an accurate represent at ion of their climatology. For example, the Andes Mountains in Chile cause a temperature shift of more than 25C within the same area as a single 2.5 grid cell from the NCEP dataset. Fortunately the CRU, U.D., GPCP, and NCEP datasets, when hybridized, are able to provide both precision and satisfactory resolution with global coverage. This composite will enable the development of both high-resolution models and quality empirical downscaling methods--both of which are necessary for scientists to more accurately predict the effects of global climate change. Without accurate long-term forecasts, climatologists and policy makers will not have the tools they need to effectively reduce the negative effects human activity have on the earth.

  1. Nanostructure Determination by Co-Refining Models to Multiple Datasets

    SciTech Connect (OSTI)

    Billinge, Simon

    2011-05-31

    The results of the work are contained in the publications resulting from the grant (which are listed below). Here I summarize the main findings from the last period of the award, 2006-2007: • Published a paper in Science with Igor Levin outlining the “Nanostructure Problem”, our inability to solve structure at the nanoscale. • Published a paper in Nature demonstrating the first ever ab-initio structure determination of a nanoparticle from atomic pair distribution function (PDF) data. • Published one book and 3 overview articles on PDF methods and the nanostructure problem. • Completed a project that sought to find a structural response to the presence of the so-called “intermediate phase” in network glasses which appears close to the rigidity percolation threshold in these systems. The main result was that we did not see convincing evidence for this, which drew into doubt the idea that GexSe1-x glasses were a model system exhibiting rigidity percolation.

  2. Development of Regional Wind Resource and Wind Plant Output Datasets for the Hawaiian Islands

    SciTech Connect (OSTI)

    Manobianco, J.; Alonge, C.; Frank, J.; Brower, M.

    2010-07-01

    In March 2009, AWS Truepower was engaged by the National Renewable Energy Laboratory (NREL) to develop a set of wind resource and plant output data for the Hawaiian Islands. The objective of this project was to expand the methods and techniques employed in the Eastern Wind Integration and Transmission Study (EWITS) to include the state of Hawaii.

  3. Integrated Resource Planning Model (IRPM)

    SciTech Connect (OSTI)

    Graham, T. B.

    2010-04-01

    The Integrated Resource Planning Model (IRPM) is a decision-support software product for resource-and-capacity planning. Users can evaluate changing constraints on schedule performance, projected cost, and resource use. IRPM is a unique software tool that can analyze complex business situations from a basic supply chain to an integrated production facility to a distributed manufacturing complex. IRPM can be efficiently configured through a user-friendly graphical interface to rapidly provide charts, graphs, tables, and/or written results to summarize postulated business scenarios. There is not a similar integrated resource planning software package presently available. Many different businesses (from government to large corporations as well as medium-to-small manufacturing concerns) could save thousands of dollars and hundreds of labor hours in resource and schedule planning costs. Those businesses also could avoid millions of dollars of revenue lost from fear of overcommitting or from penalties and lost future business for failing to meet promised delivery by using IRPM to perform what-if business-case evaluations. Tough production planning questions that previously were left unanswered can now be answered with a high degree of certainty. Businesses can anticipate production problems and have solutions in hand to deal with those problems. IRPM allows companies to make better plans, decisions, and investments.

  4. Modeling renewable energy resources in integrated resource planning

    SciTech Connect (OSTI)

    Logan, D.; Neil, C.; Taylor, A. [RCG/Hagler, Bailly, Inc., Boulder, CO (United States)

    1994-06-01

    Including renewable energy resources in integrated resource planning (IRP) requires that utility planning models properly consider the relevant attributes of the different renewable resources in addition to conventional supply-side and demand-side options. Otherwise, a utility`s resource plan is unlikely to have an appropriate balance of the various resource options. The current trend toward regulatory set-asides for renewable resources is motivated in part by the perception that the capabilities of current utility planning models are inadequate with regard to renewable resources. Adequate modeling capabilities and utility planning practices are a necessary prerequisite to the long-term penetration of renewable resources into the electric utility industry`s resource mix. This report presents a review of utility planning models conducted for the National Renewable Energy Laboratory (NREL). The review examines the capabilities of utility planning models to address key issues in the choice between renewable resources and other options. The purpose of this review is to provide a basis for identifying high priority areas for advancing the state of the art.

  5. Fact #854 January 5, 2015 Driving Ranges for All-Electric Vehicles in Model Year 2014 Vary from 62 to 265 Miles – Dataset

    Broader source: Energy.gov [DOE]

    Excel file with dataset for Driving Ranges for All-Electric Vehicles in Model Year 2014 Vary from 62 to 265 Miles

  6. Development of Eastern Regional Wind Resource and Wind Plant Output Datasets: March 3, 2008 -- March 31, 2010

    SciTech Connect (OSTI)

    Brower, M.

    2009-12-01

    The objective of this project was to provide wind resource inputs to the Eastern Wind Integration and Transmission Study.

  7. A Model to Evaluate Online Educational Resources in Statistics

    E-Print Network [OSTI]

    Ooms, Ann; Garfield, Joan

    2008-01-01

    Improving Online Educational Resources. ” Doctoral Thesis,Model to Evaluate Online Educational Resources in Statisticsusing online educational resources has steadily increased.

  8. Modeling of Customer Adoption of Distributed Energy Resources

    E-Print Network [OSTI]

    Modeling of Customer Adoption of Distributed Energy Resources CALIFORNIA ENERGY COMMISSION Reliability Technology Solutions Modeling of Customer Adoption of Distributed Energy Resources Prepared the consequences. #12;#12;Modeling of Customer Adoption of Distributed Energy Resources iii Table of Contents

  9. New Models Help Optimize Development of Bakken Shale Resources...

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

    New Models Help Optimize Development of Bakken Shale Resources New Models Help Optimize Development of Bakken Shale Resources February 7, 2012 - 12:00pm Addthis Washington, DC -...

  10. World Climate Research Programme (WCRP) Coupled Model Intercomparison Project phase 3 (CMIP3): Multi-Model Dataset Archive at PCMDI (Program for Climate Model Diagnosis and Intercomparison)

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

    In response to a proposed activity of the WCRP's Working Group on Coupled Modelling (WGCM),PCMDI volunteered to collect model output contributed by leading modeling centers around the world. Climate model output from simulations of the past, present and future climate was collected by PCMDI mostly during the years 2005 and 2006, and this archived data constitutes phase 3 of the Coupled Model Intercomparison Project (CMIP3). In part, the WGCM organized this activity to enable those outside the major modeling centers to perform research of relevance to climate scientists preparing the Fourth Asssessment Report (AR4) of the Intergovernmental Panel on Climate Change (IPCC). The IPCC was established by the World Meteorological Organization and the United Nations Environmental Program to assess scientific information on climate change. The IPCC publishes reports that summarize the state of the science. This unprecedented collection of recent model output is officially known as the WCRP CMIP3 multi-model dataset. It is meant to serve IPCC's Working Group 1, which focuses on the physical climate system - atmosphere, land surface, ocean and sea ice - and the choice of variables archived at the PCMDI reflects this focus. A more comprehensive set of output for a given model may be available from the modeling center that produced it. As of November 2007, over 35 terabytes of data were in the archive and over 303 terabytes of data had been downloaded among the more than 1200 registered users. Over 250 journal articles, based at least in part on the dataset, have been published or have been accepted for peer-reviewed publication. Countries from which models have been gathered include Australia, Canada, China, France, Germany and Korea, Italy, Japan, Norway, Russia, Great Britain and the United States. Models, variables, and documentation are collected and stored. Check http://www-pcmdi.llnl.gov/ipcc/data_status_tables.htm to see at a glance the output that is available. (Description taken from http://www-pcmdi.llnl.gov/ipcc/about_ipcc.php)

  11. Distributed Energy Resources Market Diffusion Model

    E-Print Network [OSTI]

    Maribu, Karl Magnus; Firestone, Ryan; Marnay, Chris; Siddiqui, Afzal S.

    2006-01-01

    International Journal of Distributed Energy Resources, 1 (Gas-Fired Distributed Energy Resources Characterizations.Firestone, R. (2004) Distributed Energy Resources Customer

  12. VIVDR -Vortex-induced vibration data repository An overview of available riser datasets

    E-Print Network [OSTI]

    riser model datasets Overview of datasets Uniform Linearly sheared Available datasets #12;ExxonMobil 10m long riser model datasets #12;99 ExxonMobil 10m long riser model datasets Experimental setup: rotating;1010 ExxonMobil 10m long riser model datasets Experimental setup: rotating test rig simulates riser

  13. Distributed Energy Resources Market Diffusion Model

    E-Print Network [OSTI]

    Maribu, Karl Magnus; Firestone, Ryan; Marnay, Chris; Siddiqui, Afzal S.

    2006-01-01

    Efficiency and Renewable Energy, Distributed Energy ProgramDistributed Energy Resources Characterizations. National Renewable Energy

  14. On a resource allocation model with infinite horizon

    E-Print Network [OSTI]

    Wagner, Marcus

    into the model which contains a weight function. The new problem, called now the adapted resource allocationOn a resource allocation model with infinite horizon Valeriya Lykina, Sabine Pickenhain and Marcus 13 44, D-03013 Cottbus, Germany #12;On a Resource Allocation Model with Infinite Horizon Valeriya

  15. Commons and Anticommons in a simple Renewable Resource Harvest Model

    E-Print Network [OSTI]

    Boschetti, Fabio

    Commons and Anticommons in a simple Renewable Resource Harvest Model June 20, 2007 M. Bredea a model where agents harvesting from a renewable resource can impose limita- tions on the harvesting that a fluctuation destabilizes the system into severe overexploitation. key words: renewable resources, commons

  16. J. Geomag. Geoelectr., 45, 1127-1150, 1993 Decomposition and Modelling of the BC87 Dataset

    E-Print Network [OSTI]

    Jones, Alan G.

    a decade is difficult to interpret without recourse to introduction of a layer with differing electrical be identified and removed, as far as possible, prior to interpretation. A galvanic model of these distortions Mountain Trench (see JONES, 1993). 2. Data The recorded MT data exhibit strong site to site variations

  17. Software for facilitating the creation of parametric urban resource models

    E-Print Network [OSTI]

    Cockey, Sean M. (Sean Michael)

    2014-01-01

    This thesis describes a new software tool to facilitate Parametric Urban Resource Modeling, a method for quantitatively studying and improving the distribution of resources in a city. The software is intended to help users ...

  18. Modeling Water Resource Systems under Climate Change: IGSM-WRS

    E-Print Network [OSTI]

    Strzepek, K.

    Through the integration of a Water Resource System (WRS) component, the MIT Integrated Global System Model (IGSM) framework has been enhanced to study the effects of climate change on managed water-resource systems. ...

  19. Energy Modeling Community Resources | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE:FinancingPetroleum12, 2015 Infographic courtesyEducation DataMay 24, 2011 Secretaries

  20. Numerical Modeling of Eastern Connecticut's Visual Resources1

    E-Print Network [OSTI]

    Numerical Modeling of Eastern Connecticut's Visual Resources1 Daniel L. Civco 2/ l Submitted Conservation, The University of Connecticut, Storrs, Connecticut. / Abstract: A numerical model capable of accurately predicting the preference for landscape photographs of selected points in eastern Connecticut

  1. Coupling Groundwater Modeling with Biology to Identify Strategic Water Resources

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Coupling Groundwater Modeling with Biology to Identify Strategic Water Resources Didier Graillot 1 ABSTRACT The identification of hydraulic interactions between rivers and groundwater is part and parcel hinders groundwater modeling everywhere and simulating water management scenarios in every place

  2. Energy Modeling Community Resources | Department of Energy

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

    (Rocky Mountain Institute) published the "Building Energy Modeling Guide for Owners and Managers." The...

  3. Datasets - OpenEI Datasets

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTIONRobertsdale, Alabama (UtilityInstruments Inc JumpIowa: EnergyDarkEnergy2007)DataHub project Find

  4. Improvement of Offshore Wind Resource Modeling in the Mid-

    E-Print Network [OSTI]

    Firestone, Jeremy

    Improvement of Offshore Wind Resource Modeling in the Mid- Atlantic Bight Wind Energy Symposium Sienkiewicz , Chris Hughes 26 February 2013 #12;Improving Atmospheric Models for Offshore Wind Resource Interaction Tower ­ 23 m NOAA Buzzard's Bay Tower ­ 25 m Cape Wind Tower (60 m from 2003-2011; just platform

  5. Representative well models for eight geothermal-resource areas

    SciTech Connect (OSTI)

    Carson, C.C.; Lin, Y.T.; Livesay, B.J.

    1983-02-01

    Representative well models have been constructed for eight major geothermal-resource areas. The models define representative times and costs associated with the individual operations that can be expected during drilling and completion of geothermal wells. The models were made for and have been used to evaluate the impacts of potential new technologies. The nature, construction, and validation of the models are presented.

  6. Resource Planning Model: An Integrated Resource Planning and Dispatch Tool for Regional Electric Systems

    Broader source: Energy.gov [DOE]

    In this report, we introduce a new transparent regional capacity expansion model with high spatio-temporal resolution and detailed representation of dispatch. The development of this model, referred to as the Resource Planning Model (RPM), is motivated by the lack of a tool in the public domain that can be used to characterize optimal regional deployment of resources with detailed dispatch modeling. In particular, RPM is designed to evaluate scenarios of renewable technology deployment to meet renewable portfolio standard (RPS) and emission-reduction goals, and to project possible deployment levels for various projections of future technology and fuel prices.

  7. Modeling Power System Operation with Intermittent Resources

    SciTech Connect (OSTI)

    Marinovici, Maria C.; Kirkham, Harold; Glass, Kevin A.; Carlsen, Leif C.

    2013-02-27

    Electricity generating companies and power system operators face the need to minimize total fuel cost or maximize total profit over a given time period. These issues become optimization problems subject to a large number of constraints that must be satisfied simultaneously. The grid updates due to smart-grid technologies plus the penetration of intermittent re- sources in electrical grid introduce additional complexity to the optimization problem. The Renewable Integration Model (RIM) is a computer model of interconnected power system. It is intended to provide insight and advice on complex power systems management, as well as answers to integration of renewable energy questions. This paper describes RIM basic design concept, solution method, and the initial suite of modules that it supports.

  8. Linear programming model for optimum resource allocation in rural systems

    SciTech Connect (OSTI)

    Devadas, V. [Indian Inst. of Tech., Kharagpur (India)

    1997-07-01

    The article presents a model for optimum resource allocation in a rural system. Making use of linear programming, the objective function of the linear programming model is to maximize the revenue of the rural system, and optimum resource allocation is made subject to a number of energy- and nonenergy-related constraints relevant to the rural system. The model also quantifies the major yields as well as the by-products of different sectors of the rural economic system.

  9. A Parallel Formulation of the Spatial Auto-Regression Model for Mining Large Geo-Spatial Datasets

    E-Print Network [OSTI]

    Boley, Daniel

    , Parallel Formulation, Spatial Data Mining 1 Introduction. Explosive growth in the size of spatial databases-spatial datasets is important for many application domains such as regional economics, ecology and environmental Supercomputing Institute. Electrical and Computer Engineering Department, University of Minnesota, Twin

  10. Wind resource assessment with a mesoscale non-hydrostatic model

    E-Print Network [OSTI]

    Boyer, Edmond

    Wind resource assessment with a mesoscale non- hydrostatic model Vincent Guénard, Center for Energy is developed for assessing the wind resource and its uncertainty. The work focuses on an existing wind farm mast measurements. The wind speed and turbulence fields are discussed. It is shown that the k

  11. SECURITY MODELING FOR MARITIME PORT DEFENSE RESOURCE ALLOCATION

    SciTech Connect (OSTI)

    Harris, S.; Dunn, D.

    2010-09-07

    Redeployment of existing law enforcement resources and optimal use of geographic terrain are examined for countering the threat of a maritime based small-vessel radiological or nuclear attack. The evaluation was based on modeling conducted by the Savannah River National Laboratory that involved the development of options for defensive resource allocation that can reduce the risk of a maritime based radiological or nuclear threat. A diverse range of potential attack scenarios has been assessed. As a result of identifying vulnerable pathways, effective countermeasures can be deployed using current resources. The modeling involved the use of the Automated Vulnerability Evaluation for Risks of Terrorism (AVERT{reg_sign}) software to conduct computer based simulation modeling. The models provided estimates for the probability of encountering an adversary based on allocated resources including response boats, patrol boats and helicopters over various environmental conditions including day, night, rough seas and various traffic flow rates.

  12. Wind Integration Datasets from the National Renewable Energy Laboratory (NREL)

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

    The Wind Integration Datasets provide time-series wind data for 2004, 2005, and 2006. They are intended to be used by energy professionals such as transmission planners, utility planners, project developers, and university researchers, helping them to perform comparisons of sites and estimate power production from hypothetical wind plants. NREL cautions that the information from modeled data may not match wind resource information shown on NREL;s state wind maps as they were created for different purposes and using different methodologies.

  13. Resource Planning Model: An Integrated Resource Planning and Dispatch Tool for Regional Electric Systems

    SciTech Connect (OSTI)

    Mai, T.; Drury, E.; Eurek, K.; Bodington, N.; Lopez, A.; Perry, A.

    2013-01-01

    This report introduces a new capacity expansion model, the Resource Planning Model (RPM), with high spatial and temporal resolution that can be used for mid- and long-term scenario planning of regional power systems. Although RPM can be adapted to any geographic region, the report describes an initial version of the model adapted for the power system in Colorado. It presents examples of scenario results from the first version of the model, including an example of a 30%-by-2020 renewable electricity penetration scenario.

  14. Understanding the Alternate Bearing Phenomenon: Resource Budget Model

    E-Print Network [OSTI]

    Awadhesh Prasad; Kenshi Sakai

    2015-11-17

    We consider here the resource budget model of plant energy resources, which characterizes the ecological alternate bearing phenomenon in fruit crops, in which high and low yields occur in alternate years. The resource budget model is a tent-type map, which we study in detail. An infinite number of chaotic bands are observed in this map, which are separated by periodic unstable fixed points. These $m$ bands chaotic attractors become m/2 bands when the period-m unstable fixed points simultaneously collide with the chaotic bands. The distance between two sets of coexisting chaotic bands that are separated by a period-1 unstable fixed point is discussed. We explore the effects of varying a range of parameters of the model. The presented results explain the characteristic behavior of the alternate bearing estimated from the real field data. Effect of noise are also explored. The significance of these results to ecological perspectives of the alternate bearing phenomenon are highlighted.

  15. Robust Resource Allocations in Parallel Computing Systems: Model and Heuristics

    E-Print Network [OSTI]

    Maciejewski, Anthony A. "Tony"

    Robust Resource Allocations in Parallel Computing Systems: Model and Heuristics Vladimir Shestak1 in parallel computer systems (including heterogeneous clusters) should be allocated to the computational was supported by the Colorado State University Center for Robustness in Computer Systems (funded by the Colorado

  16. "Modeling for effective and sustainable water resources management."

    E-Print Network [OSTI]

    Zhigilei, Leonid V.

    . Current regulations, promulgated at the local and state levels, have focused on impacts of development"Modeling for effective and sustainable water resources management." Teresa Culver Associate Professor tculver@virginia.edu ce.virginia.edu/faculty/culvert.html Dept. of Civil & Environmental

  17. Hydrogen Demand and Resource Analysis (HyDRA) Model

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE:Financing Tool Fits the Bill FinancingDepartment ofPowerScenario Analysis Model (HDSAM)

  18. Matchmaking, datasets and physics analysis

    E-Print Network [OSTI]

    Donno, Flavia; Eulisse, Giulio; Mazzucato, Mirco; Steenberg, Conrad; CERN. Geneva. IT Department; 10.1109/ICPPW.2005.48

    2005-01-01

    Grid enabled physics analysis requires a workload management system (WMS) that takes care of finding suitable computing resources to execute data intensive jobs. A typical example is the WMS available in the LCG2 (also referred to as EGEE-0) software system, used by several scientific experiments. Like many other current grid systems, LCG2 provides a file level granularity for accessing and analysing data. However, application scientists such as high energy physicists often require a higher abstraction level for accessing data, i.e. they prefer to use datasets rather than files in their physics analysis. We have improved the current WMS (in particular the Matchmaker) to allow physicists to express their analysis job requirements in terms of datasets. This required modifications to the WMS and its interface to potential data catalogues. As a result, we propose a simple data location interface that is based on a Web service approach and allows for interoperability of the WMS with new dataset and file catalogues...

  19. EVALUATION OF THE USGS NATIONAL ELEVATION DATASET AND THE KANSAS BIOLOGICAL SURVEY'S FLDPLN ("FLOODPLAIN") MODEL FOR INUNDATION EXTENT ESTIMATION

    E-Print Network [OSTI]

    Dobbs, Kevin Edward

    2010-04-27

    The Kansas Biological Survey has developed a library of modeled flood inundation extents, using the FLDPLN model, for major streams across Kansas that can be accessed in near real-time to provide valuable information to disaster responders...

  20. Modeling of customer adoption of distributed energy resources

    E-Print Network [OSTI]

    2001-01-01

    of Dispersed Energy Resources Deployment. Berkeley, LawrenceAdoption of Distributed Energy Resources Ozbek, A. 2001.Adoption of Distributed Energy Resources Figure 39. Figure

  1. Modeling of customer adoption of distributed energy resources

    E-Print Network [OSTI]

    2001-01-01

    Customer Adoption of Distributed Energy Resources Ozbek, A.Customer Adoption of Distributed Energy Resources Figure 39.Customer Adoption of Distributed Energy Resources REFERENCES

  2. Resources

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of NaturalDukeWakefieldSulfateSciTechtail.Theory ofDid youOxygen Generation |Publications| BlandineResearchResources

  3. Resources

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of NaturalDukeWakefieldSulfateSciTechtail.Theory ofDid youOxygen Generation |Publications| BlandineResearch

  4. Resources

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration wouldMassR&D100Nationalquestionnaires 0serial codes on loginResonant

  5. Optimal Control of Distributed Energy Resources using Model Predictive Control

    SciTech Connect (OSTI)

    Mayhorn, Ebony T.; Kalsi, Karanjit; Elizondo, Marcelo A.; Zhang, Wei; Lu, Shuai; Samaan, Nader A.; Butler-Purry, Karen

    2012-07-22

    In an isolated power system (rural microgrid), Distributed Energy Resources (DERs) such as renewable energy resources (wind, solar), energy storage and demand response can be used to complement fossil fueled generators. The uncertainty and variability due to high penetration of wind makes reliable system operations and controls challenging. In this paper, an optimal control strategy is proposed to coordinate energy storage and diesel generators to maximize wind penetration while maintaining system economics and normal operation. The problem is formulated as a multi-objective optimization problem with the goals of minimizing fuel costs and changes in power output of diesel generators, minimizing costs associated with low battery life of energy storage and maintaining system frequency at the nominal operating value. Two control modes are considered for controlling the energy storage to compensate either net load variability or wind variability. Model predictive control (MPC) is used to solve the aforementioned problem and the performance is compared to an open-loop look-ahead dispatch problem. Simulation studies using high and low wind profiles, as well as, different MPC prediction horizons demonstrate the efficacy of the closed-loop MPC in compensating for uncertainties in wind and demand.

  6. Modeling, Analysis, and Control of Demand Response Resources

    E-Print Network [OSTI]

    Mathieu, Johanna L.

    2013-01-01

    balancing, especially important in power systems with high penetrations of intermittent renewable resources like wind

  7. Modeling, Analysis, and Control of Demand Response Resources

    E-Print Network [OSTI]

    Mathieu, Johanna L.

    2012-01-01

    balancing, especially important in power systems with high penetrations of intermittent renewable resources like wind

  8. Reference Inflow Characterization for River Resource Reference Model (RM2)

    SciTech Connect (OSTI)

    Neary, Vincent S [ORNL

    2011-12-01

    Sandia National Laboratory (SNL) is leading an effort to develop reference models for marine and hydrokinetic technologies and wave and current energy resources. This effort will allow the refinement of technology design tools, accurate estimates of a baseline levelized cost of energy (LCoE), and the identification of the main cost drivers that need to be addressed to achieve a competitive LCoE. As part of this effort, Oak Ridge National Laboratory was charged with examining and reporting reference river inflow characteristics for reference model 2 (RM2). Published turbulent flow data from large rivers, a water supply canal and laboratory flumes, are reviewed to determine the range of velocities, turbulence intensities and turbulent stresses acting on hydrokinetic technologies, and also to evaluate the validity of classical models that describe the depth variation of the time-mean velocity and turbulent normal Reynolds stresses. The classical models are found to generally perform well in describing river inflow characteristics. A potential challenge in river inflow characterization, however, is the high variability of depth and flow over the design life of a hydrokinetic device. This variation can have significant effects on the inflow mean velocity and turbulence intensity experienced by stationary and bottom mounted hydrokinetic energy conversion devices, which requires further investigation, but are expected to have minimal effects on surface mounted devices like the vertical axis turbine device designed for RM2. A simple methodology for obtaining an approximate inflow characterization for surface deployed devices is developed using the relation umax=(7/6)V where V is the bulk velocity and umax is assumed to be the near-surface velocity. The application of this expression is recommended for deriving the local inflow velocity acting on the energy extraction planes of the RM2 vertical axis rotors, where V=Q/A can be calculated given a USGS gage flow time-series and stage vs. cross-section area rating relationship.

  9. A Risk-aware Trust Based Secure Resource Discovery (RTSRD) Model for Pervasive Computing

    E-Print Network [OSTI]

    Madiraju, Praveen

    security threat to them. Thus, the resource discovery process demands models that ensure the privacyA Risk-aware Trust Based Secure Resource Discovery (RTSRD) Model for Pervasive Computing Sheikh I-hoc network of pervasive computing, a resource discovery model is needed that can resolve security and privacy

  10. Modelling renewable electric resources: A case study of wind

    SciTech Connect (OSTI)

    Bernow, S.; Biewald, B.; Hall, J.; Singh, D.

    1994-07-01

    The central issue facing renewables in the integrated resource planning process is the appropriate assessment of the value of renewables to utility systems. This includes their impact on both energy and capacity costs (avoided costs), and on emissions and environmental impacts, taking account of the reliability, system characteristics, interactions (in dispatch), seasonality, and other characteristics and costs of the technologies. These are system-specific considerations whose relationships may have some generic implications. In this report, we focus on the reliability contribution of wind electric generating systems, measured as the amount of fossil capacity they can displace while meeting the system reliability criterion. We examine this issue for a case study system at different wind characteristics and penetration, for different years, with different system characteristics, and with different modelling techniques. In an accompanying analysis we also examine the economics of wind electric generation, as well as its emissions and social costs, for the case study system. This report was undertaken for the {open_quotes}Innovative IRP{close_quotes} program of the U.S. Department of Energy, and is based on work by both Union of Concerned Scientists (UCS) and Tellus Institute, including America`s Energy Choices and the UCS Midwest Renewables Project.

  11. Information Infrastructure for Publishing and Integrating Water Resource Data from Pacific Rim Universities in Support of Hydrologic Modeling and Integrated Water Resource Management

    E-Print Network [OSTI]

    Zaslavsky, Ilya

    2010-01-01

    Publishing and Integrating Water Resource Data from PacificModeling and Integrated Water Resource Management Finalin publishing and analyzing local water data, configuring a

  12. Modeling, Analysis, and Control of Demand Response Resources

    E-Print Network [OSTI]

    Mathieu, Johanna L.

    2013-01-01

    E.1 ACs . . . . . . E.2 Heat pumps . . E.3 Water heaters .heterogeneous ACs or heat pumps. Resource duration curvesas air conditioners, heat pumps, electric water heaters, and

  13. Modeling, Analysis, and Control of Demand Response Resources

    E-Print Network [OSTI]

    Mathieu, Johanna L.

    2012-01-01

    E.1 ACs . . . . . . E.2 Heat pumps . . E.3 Water heaters .heterogeneous ACs or heat pumps. Resource duration curvesas air conditioners, heat pumps, electric water heaters, and

  14. A Resource Conceptual Model for the Ngatamariki Geothermal Field...

    Open Energy Info (EERE)

    a permeable 280C resource. However, economic and access complications halted further drilling. After initial access was obtained in 2004, RJV conducted MT surveys and...

  15. Resource Planning Model: An Integrated Resource Planning and Dispatch Tool for Regional Electric Systems

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration wouldMassR&D100Nationalquestionnaires 0serial codes on loginResonant SoftResource

  16. Modeling access to wind resources in the United States

    SciTech Connect (OSTI)

    Short, W.D.

    1999-10-20

    To project the US potential to meet future electricity demands with wind energy, estimates of available wind resource and costs to access that resource are critical. The US Department of Energy (DOE) Energy Information Administration (EIA) annually estimates the US market penetration of wind in its Annual Energy Outlook series. For these estimates, the EIA uses wind resource data developed by the Pacific Northwest National Laboratory for each region of the country. However, the EIA multiplies the cost of windpower by several factors, some as large as 3, to account for resource quality, market factors associated with accessing the resource, electric grid impacts, and rapid growth in the wind industry. This paper examines the rationale behind these additional costs and suggests alternatives.

  17. Massive Datasets in Astronomy

    E-Print Network [OSTI]

    Robert J. Brunner; S. George Djorgovski; Thomas A. Prince; Alex S. Szalay

    2001-06-26

    Astronomy has a long history of acquiring, systematizing, and interpreting large quantities of data. Starting from the earliest sky atlases through the first major photographic sky surveys of the 20th century, this tradition is continuing today, and at an ever increasing rate. Like many other fields, astronomy has become a very data-rich science, driven by the advances in telescope, detector, and computer technology. Numerous large digital sky surveys and archives already exist, with information content measured in multiple Terabytes, and even larger, multi-Petabyte data sets are on the horizon. Systematic observations of the sky, over a range of wavelengths, are becoming the primary source of astronomical data. Numerical simulations are also producing comparable volumes of information. Data mining promises to both make the scientific utilization of these data sets more effective and more complete, and to open completely new avenues of astronomical research. Technological problems range from the issues of database design and federation, to data mining and advanced visualization, leading to a new toolkit for astronomical research. This is similar to challenges encountered in other data-intensive fields today. These advances are now being organized through a concept of the Virtual Observatories, federations of data archives and services representing a new information infrastructure for astronomy of the 21st century. In this article, we provide an overview of some of the major datasets in astronomy, discuss different techniques used for archiving data, and conclude with a discussion of the future of massive datasets in astronomy.

  18. Modeling U.S. water resources under climate change*

    E-Print Network [OSTI]

    -driven, the Program uses extensive Earth system and economic data and models to produce quantitative analysis of the Program's work lies MIT's Integrated Global System Model. Through this integrated model, the Program seeks interactions. We demonstrate a new modeling system that integrates cli- matic and hydrological determinants

  19. SSRD+: A Privacy-aware Trust and Security Model for Resource Discovery in Pervasive Computing Environment

    E-Print Network [OSTI]

    Madiraju, Praveen

    discovery process lightweight and secure. In this paper we present details of the trust and risk models. We of devices running in a pervasive computing environment [10]. The resource discovery process demands modelsSSRD+: A Privacy-aware Trust and Security Model for Resource Discovery in Pervasive Computing

  20. Biofuel Enduse Datasets from the Bioenergy Knowledge Discovery Framework (KDF)

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

    The Bioenergy Knowledge Discovery Framework invites users to discover the power of bioenergy through an interface that provides extensive access to research data and literature, GIS mapping tools, and collaborative networks. The Bioenergy KDF supports efforts to develop a robust and sustainable bioenergy industry. The KDF facilitates informed decision making by providing a means to synthesize, analyze, and visualize vast amounts of information in a relevant and succinct manner. It harnesses Web 2.0 and social networking technologies to build a collective knowledge system that can better examine the economic and environmental impacts of development options for biomass feedstock production, biorefineries, and related infrastructure. [copied from https://www.bioenergykdf.net/content/about]

    Holdings include datasets, models, and maps. This is a very new resource, but the collections will grow due to both DOE contributions and individualsĆ data uploads. Currently the Biofuel Enduse collection includes 133 items. Most of these are categorized as literature, but 36 are listed as datasets and ten as models.

  1. Andrew Ford BWeb for Modeling the Environment 1 Resource Economics

    E-Print Network [OSTI]

    Ford, Andrew

    on Natural Gas in the United States Natural gas is a surprisingly important source of energy in the United as a potentially important fuel for clean vehicles (see chapter 16 on feebates),and it has already emerged cycle of a non- renewable resource. Natural gas may be the most important source of energy in the United

  2. Comprehensive ecosystem model-experiment synthesis using multiple datasets at two temperate forest free-air CO2 enrichment experiments: model performance and compensating biases

    SciTech Connect (OSTI)

    Walker, Anthony P [ORNL] [ORNL; Hanson, Paul J [ORNL] [ORNL; DeKauwe, Martin G [Macquarie University] [Macquarie University; Medlyn, Belinda [Macquarie University] [Macquarie University; Zaehle, S [Max Planck Institute for Biogeochemistry] [Max Planck Institute for Biogeochemistry; Asao, Shinichi [Colorado State University, Fort Collins] [Colorado State University, Fort Collins; Dietze, Michael [University of Illinois, Urbana-Champaign] [University of Illinois, Urbana-Champaign; Hickler, Thomas [Goethe University, Frankfurt, Germany] [Goethe University, Frankfurt, Germany; Huntinford, Chris [Centre for Ecology and Hydrology, Wallingford, United Kingdom] [Centre for Ecology and Hydrology, Wallingford, United Kingdom; Iversen, Colleen M [ORNL] [ORNL; Jain, Atul [University of Illinois, Urbana-Champaign] [University of Illinois, Urbana-Champaign; Lomas, Mark [University of Sheffield] [University of Sheffield; Luo, Yiqi [University of Oklahoma] [University of Oklahoma; McCarthy, Heather R [Duke University] [Duke University; Parton, William [Colorado State University, Fort Collins] [Colorado State University, Fort Collins; Prentice, I. Collin [Macquarie University] [Macquarie University; Thornton, Peter E [ORNL] [ORNL; Wang, Shusen [Canada Centre for Remote Sensing (CCRS)] [Canada Centre for Remote Sensing (CCRS); Wang, Yingping [CSIRO Marine and Atmospheric Research] [CSIRO Marine and Atmospheric Research; Warlind, David [Lund University, Sweden] [Lund University, Sweden; Weng, Ensheng [University of Oklahoma, Norman] [University of Oklahoma, Norman; Warren, Jeffrey [ORNL] [ORNL; Woodward, F. Ian [University of Sheffield] [University of Sheffield; Oren, Ram [Duke University] [Duke University; Norby, Richard J [ORNL] [ORNL

    2014-01-01

    Free Air CO2 Enrichment (FACE) experiments provide a remarkable wealth of data to test the sensitivities of terrestrial ecosystem models (TEMs). In this study, a broad set of 11 TEMs were compared to 22 years of data from two contrasting FACE experiments in temperate forests of the south eastern US the evergreen Duke Forest and the deciduous Oak Ridge forest. We evaluated the models' ability to reproduce observed net primary productivity (NPP), transpiration and Leaf Area index (LAI) in ambient CO2 treatments. Encouragingly, many models simulated annual NPP and transpiration within observed uncertainty. Daily transpiration model errors were often related to errors in leaf area phenology and peak LAI. Our analysis demonstrates that the simulation of LAI often drives the simulation of transpiration and hence there is a need to adopt the most appropriate of hypothesis driven methods to simulate and predict LAI. Of the three competing hypotheses determining peak LAI (1) optimisation to maximise carbon export, (2) increasing SLA with canopy depth and (3) the pipe model the pipe model produced LAI closest to the observations. Modelled phenology was either prescribed or based on broader empirical calibrations to climate. In some cases, simulation accuracy was achieved through compensating biases in component variables. For example, NPP accuracy was sometimes achieved with counter-balancing biases in nitrogen use efficiency and nitrogen uptake. Combined analysis of parallel measurements aides the identification of offsetting biases; without which over-confidence in model abilities to predict ecosystem function may emerge, potentially leading to erroneous predictions of change under future climates.

  3. Geothermal Resource Conceptual Models Using Surface Exploration Data | Open

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QAsource History View New PagesSustainable UrbanKentucky:Bore Technologies IncEnergy2002)Open

  4. Geothermal resource conceptual models using surface exploration data | Open

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QAsource History View New PagesSustainable UrbanKentucky:Bore TechnologiesAssessment Insetting of

  5. Decoupling and Utility Business Model Resources | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE:FinancingPetroleum Based| Department8, 20153Daniel Boff AboutofPlumbingUtilities, Clean

  6. National Strategic Unconventional Resource Model | Department of Energy

    Energy Savers [EERE]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on DeliciousMathematicsEnergyInterested Parties -Department ofDepartment ofEnergyIncreased RenewableNational

  7. P&P: a Combined Push-Pull Model for Resource Monitoring in Cloud Computing Environment

    E-Print Network [OSTI]

    Wang, Liqiang

    P&P: a Combined Push-Pull Model for Resource Monitoring in Cloud Computing Environment He Huang, various platforms and software. Resource monitoring involves collecting information of system resources to facilitate decision making by other components in Cloud environ- ment. It is the foundation of many major

  8. Modeling of Thermal Storage Systems in MILP Distributed Energy Resource Models

    E-Print Network [OSTI]

    Steen, David

    2014-01-01

    and a Ph.D. in Energy and Resources, all from the Universityof distributed energy resources," in Power and EnergyPouresmaeil, "Distributed energy resources and benefits to

  9. Modeling of Thermal Storage Systems in MILP Distributed Energy Resource Models

    E-Print Network [OSTI]

    Steen, David

    2014-01-01

    Advanced integration of distributed energy resources," inE. Pouresmaeil, "Distributed energy resources and benefitsinteractions of multiple distributed energy resources in

  10. PET: A PErsonalized Trust Model with Reputation and Risk Evaluation for P2P Resource Sharing

    E-Print Network [OSTI]

    Shi, Weisong

    PET: A PErsonalized Trust Model with Reputation and Risk Evaluation for P2P Resource Sharing the construction of a good cooperation, especially in the context of economic-based solutions for the P2P resource sharing. The trust model consists of two parts: reputation evaluation and risk evaluation. Reputation

  11. Reference Model #1 - Tidal Energy: Resource Dr. Brian Polagye

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration wouldMassR&D100 Winners * Impactsand engineersAcquisition Officereference

  12. Modeling Through Shared Resources, No High-Fashion Experience Required |

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustmentsShirleyEnergyTher i nAand DOE SafetyofDepartment.Efficiency RebateDepartmentCladdings: A

  13. New Models Help Optimize Development of Bakken Shale Resources | Department

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustmentsShirley Ann JacksonDepartment ofOffice|in the subsurface is better6, 2015Energy,Announce Settlement

  14. NREL: Energy Analysis - The Resource Planning Model (RPM)

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home Room NewsInformationJessework usesof EnergyY-12 NationalNOHydrogenWebmasterRelatedBookmark

  15. Microgrid modeling using the stochastic Distributed Energy Resources Customer Adoption Model DER-CAM

    E-Print Network [OSTI]

    Stadler, Michael

    2014-01-01

    using the stochastic Distributed Energy Resources CustomerEnergy Reliability, Distributed Energy Program of the U.S.Lab • Motivation • The Distributed Energy Resources Customer

  16. Category:Datasets | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIX E LISTStar Energy LLCLtd Jump to: navigation, searchsource History View NewCleanDatasets

  17. Widget:DatasetsRedirect | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION JEnvironmental Jump to:EA EISTJThinWarsaw,What Is a SmallAnchorTextDatasetsRedirect Jump to:

  18. Category:Datasets | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION JEnvironmentalBowerbank,Cammack Village,8199089°,AnalyticalCuttings Analysis JumpDCDataDatasets

  19. Final Map Draft Comparison Report WIND ENERGY RESOURCE MODELING AND MEASUREMENT PROJECT

    E-Print Network [OSTI]

    II Final Map Draft Comparison Report #12;WIND ENERGY RESOURCE MODELING AND MEASUREMENT PROJECT Tel: 978-749-9591 Fax: 978-749-9713 mbrower@awstruewind.com August 10, 2004 #12;2 WIND ENERGY RESOURCE issues. 1 Background In Task 2 of the project, five promising areas of the state for wind energy

  20. Modeling Resource-Aware Virtualized Applications for the Cloud in Real-Time ABS

    E-Print Network [OSTI]

    Johnsen, Einar Broch

    S or increase cost. Virtualized applications need to manage their acquisition of resources. In this paper available on de- mand. When its work load increases, the application must decide whether to reduce Qo of the Montage system then demonstrates how to use such a model to compare resource manage- ment strategies

  1. Capturing Natural Resource Dynamics in Top-Down Energy?Economic Equilibrium Models

    E-Print Network [OSTI]

    Zhang, Da

    2015-10-20

    Top-down energy-economic modeling approaches often use deliberately simple techniques to represent heterogeneous resource inputs to production. We show that for some policies, such as feed-in tariffs (FIT) for renewable ...

  2. Project Title Economic Modeling & Unconventional Gas Resource Appraisal Program Line Tough Gas

    E-Print Network [OSTI]

    Santos, Juan

    support to assess the economic viability of new tough gas plays (tight gas, shale gas, CBM). Project are illustrated using the US shale gas plays as case templates. Discounted cash flow models are applied1 Project Title Economic Modeling & Unconventional Gas Resource Appraisal Program Line Tough Gas

  3. The Catalog View Feature dataset

    E-Print Network [OSTI]

    The Catalog View Feature dataset Hydrography Geometric network HYDRO_NET Polygon feature class defines by FIPS 103, next six digits is a randomly assigned sequential number unique within a CatalogingSeep FCode 485 Water IntakeOutflow Resolution Resolution FCode 48500 Water IntakeOutflow FCode 487 Waterfall

  4. Models, Simulators, and Data-driven Resources for Oil and Natural Gas Research

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

    NETL provides a number of analytical tools to assist in conducting oil and natural gas research. Software, developed under various DOE/NETL projects, includes numerical simulators, analytical models, databases, and documentation.[copied from http://www.netl.doe.gov/technologies/oil-gas/Software/Software_main.html] Links lead users to methane hydrates models, preedictive models, simulators, databases, and other software tools or resources.

  5. The Wind Integration National Dataset (WIND) toolkit (Presentation)

    SciTech Connect (OSTI)

    Caroline Draxl: NREL

    2014-01-01

    Regional wind integration studies require detailed wind power output data at many locations to perform simulations of how the power system will operate under high penetration scenarios. The wind datasets that serve as inputs into the study must realistically reflect the ramping characteristics, spatial and temporal correlations, and capacity factors of the simulated wind plants, as well as being time synchronized with available load profiles.As described in this presentation, the WIND Toolkit fulfills these requirements by providing a state-of-the-art national (US) wind resource, power production and forecast dataset.

  6. Modeling of Thermal Storage Systems in MILP Distributed Energy Resource Models

    E-Print Network [OSTI]

    Steen, David

    2014-01-01

    with electric and thermal storage technologies," presentedModeling of Thermal Storage Systems in MILP Distributedof California. Modeling of thermal storage systems in MILP

  7. Modeling the Global Water Resource System in an Integrated Assessment Modeling Framework: IGSM-WRS

    E-Print Network [OSTI]

    Strzepek, Kenneth M.

    The availability of water resources affects energy, agricultural and environmental systems, which are linked together as well as to climate via the water cycle. As such, watersheds and river basins are directly impacted ...

  8. Resource planning for gas utilities: Using a model to analyze pivotal issues

    SciTech Connect (OSTI)

    Busch, J.F.; Comnes, G.A.

    1995-11-01

    With the advent of wellhead price decontrols that began in the late 1970s and the development of open access pipelines in the 1980s and 90s, gas local distribution companies (LDCs) now have increased responsibility for their gas supplies and face an increasingly complex array of supply and capacity choices. Heretofore this responsibility had been share with the interstate pipelines that provide bundled firm gas supplies. Moreover, gas supply an deliverability (capacity) options have multiplied as the pipeline network becomes increasing interconnected and as new storage projects are developed. There is now a fully-functioning financial market for commodity price hedging instruments and, on interstate Pipelines, secondary market (called capacity release) now exists. As a result of these changes in the natural gas industry, interest in resource planning and computer modeling tools for LDCs is increasing. Although in some ways the planning time horizon has become shorter for the gas LDC, the responsibility conferred to the LDC and complexity of the planning problem has increased. We examine current gas resource planning issues in the wake of the Federal Energy Regulatory Commission`s (FERC) Order 636. Our goal is twofold: (1) to illustrate the types of resource planning methods and models used in the industry and (2) to illustrate some of the key tradeoffs among types of resources, reliability, and system costs. To assist us, we utilize a commercially-available dispatch and resource planning model and examine four types of resource planning problems: the evaluation of new storage resources, the evaluation of buyback contracts, the computation of avoided costs, and the optimal tradeoff between reliability and system costs. To make the illustration of methods meaningful yet tractable, we developed a prototype LDC and used it for the majority of our analysis.

  9. Applying the Alaska model in a Resource-Poor State: The Example of Vermont

    E-Print Network [OSTI]

    Vermont, University of

    gas, oil shale and other minerals, and Texas has a fund based on royalties and rents from oil, gas with great oil wealth such as Abu Dhabi, Saudi Arabia, Norway, Alberta, and Alaska. The Alaska model might be perceived to apply only to states with oil. Yet SWFs can be based on other valuable resources such as copper

  10. North West Hydro Resource Model Research to identify potential capacity and assist NW hydro power development

    E-Print Network [OSTI]

    Meju, Max

    North West Hydro Resource Model Research to identify potential capacity and assist NW hydro power University wide research, aims to develop a system to promote the exploitation of hydro power in North with regard to hydro schemes Reviewing and re-formulating ill defined requirements for environmental

  11. Market Power in Nonrenewable Resource Markets: An Empirical Dynamic Model1

    E-Print Network [OSTI]

    Lin, C.-Y. Cynthia

    , iron, lead, tin, and zinc were characterized by oligopolistic behavior. Our model enables us find that the demand for copper, iron, lead, and zinc is relatively inelastic, while the demand for tin nonrenewable resources with excessive capacities in both mining and processing (Auty, 2000). Since the world

  12. Modeling of Thermal Storage Systems in MILP Distributed Energy Resource Models

    E-Print Network [OSTI]

    Steen, David

    2014-01-01

    and . Mehling, Review on thermal energy storage with phaseModelling of thermal energy storage in industrial energyOptimal deployment of thermal energy storage under diverse

  13. Modeling of Thermal Storage Systems in MILP Distributed Energy Resource Models

    E-Print Network [OSTI]

    Steen, David

    2014-01-01

    in latent heat energy storage systems: A review," Renewableof thermal energy storage systems," International Journal ofModeling of Thermal Storage Systems in MILP Distributed

  14. Distributed energy resources customer adoption modeling with combined heat and power applications

    E-Print Network [OSTI]

    Siddiqui, Afzal S.; Firestone, Ryan M.; Ghosh, Srijay; Stadler, Michael; Edwards, Jennifer L.; Marnay, Chris

    2003-01-01

    of Microgrid Distributed Energy Resource Potential Usingon Integration of Distributed Energy Resources: The CERTSof Customer Adoption of Distributed Energy Resources. ”

  15. Visualization of Very Large Oceanography Time-Varying Volume Datasets

    E-Print Network [OSTI]

    Laidlaw, David

    Visualization of Very Large Oceanography Time-Varying Volume Datasets Sanghun Park1 , Chandrajit://grmanet.sogang.ac.kr/~ihm Abstract. This paper presents two visualization techniques suitable for huge oceanography time generated in the field of oceanography. The model has a resolution of 1/6 degree (2160 by 960 points

  16. Metering Best Practices Applied in the National Renewable Energy Laboratory's Research Support Facility: A Primer to the 2011 Measured and Modeled Energy Consumption Datasets

    SciTech Connect (OSTI)

    Sheppy, M.; Beach, A.; Pless, S.

    2013-04-01

    Modern buildings are complex energy systems that must be controlled for energy efficiency. The Research Support Facility (RSF) at the National Renewable Energy Laboratory (NREL) has hundreds of controllers -- computers that communicate with the building's various control systems -- to control the building based on tens of thousands of variables and sensor points. These control strategies were designed for the RSF's systems to efficiently support research activities. Many events that affect energy use cannot be reliably predicted, but certain decisions (such as control strategies) must be made ahead of time. NREL researchers modeled the RSF systems to predict how they might perform. They then monitor these systems to understand how they are actually performing and reacting to the dynamic conditions of weather, occupancy, and maintenance.

  17. A Hydro-Economic Approach to Representing Water Resources Impacts in Integrated Assessment Models

    SciTech Connect (OSTI)

    Kirshen, Paul H.; Strzepek, Kenneth, M.

    2004-01-14

    Grant Number DE-FG02-98ER62665 Office of Energy Research of the U.S. Department of Energy Abstract Many Integrated Assessment Models (IAM) divide the world into a small number of highly aggregated regions. Non-OECD countries are aggregated geographically into continental and multiple-continental regions or economically by development level. Current research suggests that these large scale aggregations cannot accurately represent potential water resources-related climate change impacts. In addition, IAMs do not explicitly model the flow regulation impacts of reservoir and ground water systems, the economics of water supply, or the demand for water in economic activities. Using the International Model for Policy Analysis of Agricultural Commodities and Trade (IMPACT) model of the International Food Policy Research Institute (IFPRI) as a case study, this research implemented a set of methodologies to provide accurate representation of water resource climate change impacts in Integrated Assessment Models. There were also detailed examinations of key issues related to aggregated modeling including: modeling water consumption versus water withdrawals; ground and surface water interactions; development of reservoir cost curves; modeling of surface areas of aggregated reservoirs for estimating evaporation losses; and evaluating the importance of spatial scale in river basin modeling. The major findings include: - Continental or national or even large scale river basin aggregation of water supplies and demands do not accurately capture the impacts of climate change in the water and agricultural sector in IAMs. - Fortunately, there now exist gridden approaches (0.5 X 0.5 degrees) to model streamflows in a global analysis. The gridded approach to hydrologic modeling allows flexibility in aligning basin boundaries with national boundaries. This combined with GIS tools, high speed computers, and the growing availability of socio-economic gridded data bases allows assignment of demands to river basins to create hydro-economic zones that respect as much as possible both political and hydrologic integrity in different models. - To minimize pre-processing of data and add increased flexibility to modeling water resources and uses, it is recommended that water withdrawal demands be modeled, not consumptive requirements even though this makes the IAM more complex. - IAMs must consider changes in water availability for irrigation under climate change; ignoring them is more inaccurate than ignoring yield changes in crops under climate change. - Determining water availability and cost in river basins must include modeling streamflows, reservoirs and their operations, and ground water and its interaction with surface water. - Scale issues are important. The results from condensing demands and supplies in a large complex river basin to one node can be misleading for all uses under low flow conditions and instream flow uses under all conditions. Monthly is generally the most accurate scale for modeling river flows and demands. Challenges remain in integrating hydrologic units with political boundaries but the gridded approach to hydrologic modeling allows flexibility in aligning basin boundaries with political boundaries. - Using minimal reservoir cost data, it is possible to use basin topography to estimate reservoir storage costs. - Reservoir evaporation must be considered when assessing the usable water in a watershed. Several methods are available to estimate the relationship between aggregated storage surface area and storage volume. - For existing or future IAMs that can not use the appropriate aggregation for water, a water preprocessor may be required due the finer scale of hydrologic impacts.

  18. Fall 2012 focal follow FAD GPS dataset 

    E-Print Network [OSTI]

    Alvard, Michael

    2014-06-11

    Dataset includes 23 GPS files that describe fishing trips made by Dominican fishers to fish aggregating devices. Files are in RData file format....

  19. STIL2 Swedish Office Buildings Survey - Datasets - OpenEI Datasets

    Open Energy Info (EERE)

    Relationship Dataset Dataset extent Map data OpenStreetMap contributors Tiles by MapQuest License License Not Specified Author Swedish Energy Agency Contact OpenEI User...

  20. DOE Facility Database - Datasets - OpenEI Datasets

    Open Energy Info (EERE)

    DOE Facility Database Data and Resources DOE Facility DatabaseCSV Preview Download Research and Develo... User Facilities Additional Info Field Value Author U.S. Office of...

  1. Distributed energy resources in practice: A case study analysis and validation of LBNL's customer adoption model

    E-Print Network [OSTI]

    Bailey, Owen; Creighton, Charles; Firestone, Ryan; Marnay, Chris; Stadler, Michael

    2003-01-01

    Pharmingen Distributed Energy Resources in Practice Tablemany regions. Distributed Energy Resources in Practice 10.of µGrid Distributed Energy Resource Potential Using DER-CAM

  2. Distributed energy resources customer adoption modeling with combined heat and power applications

    E-Print Network [OSTI]

    Siddiqui, Afzal S.; Firestone, Ryan M.; Ghosh, Srijay; Stadler, Michael; Edwards, Jennifer L.; Marnay, Chris

    2003-01-01

    Alex Farrell of the Energy and Resources Group, UniversityMicrogrid Distributed Energy Resource Potential Using DER-of Distributed Energy Resources: The CERTS MicroGrid

  3. Carrots and Sticks: A Comprehensive Business Model for the Successful Achievement of Energy Efficiency Resource Standards

    E-Print Network [OSTI]

    Satchwell, Andrew

    2013-01-01

    Achievement of Energy Efficiency Resource Standards AndrewEfficiency; EERS=Energy Efficiency Resource Standard; EES=different energy efficiency and demand response resource

  4. Distributed energy resources in practice: A case study analysis and validation of LBNL's customer adoption model

    E-Print Network [OSTI]

    Bailey, Owen; Creighton, Charles; Firestone, Ryan; Marnay, Chris; Stadler, Michael

    2003-01-01

    BD Biosciences Pharmingen Distributed Energy Resources inin many regions. Distributed Energy Resources in PracticeAssessment of µGrid Distributed Energy Resource Potential

  5. Model Predictive Control-based Optimal Coordination of Distributed Energy Resources

    SciTech Connect (OSTI)

    Mayhorn, Ebony T.; Kalsi, Karanjit; Lian, Jianming; Elizondo, Marcelo A.

    2013-01-07

    Distributed energy resources, such as renewable energy resources (wind, solar), energy storage and demand response, can be used to complement conventional generators. The uncertainty and variability due to high penetration of wind makes reliable system operations and controls challenging, especially in isolated systems. In this paper, an optimal control strategy is proposed to coordinate energy storage and diesel generators to maximize wind penetration while maintaining system economics and normal operation performance. The goals of the optimization problem are to minimize fuel costs and maximize the utilization of wind while considering equipment life of generators and energy storage. Model predictive control (MPC) is used to solve a look-ahead dispatch optimization problem and the performance is compared to an open loop look-ahead dispatch problem. Simulation studies are performed to demonstrate the efficacy of the closed loop MPC in compensating for uncertainties and variability caused in the system.

  6. Model Predictive Control-based Optimal Coordination of Distributed Energy Resources

    SciTech Connect (OSTI)

    Mayhorn, Ebony T.; Kalsi, Karanjit; Lian, Jianming; Elizondo, Marcelo A.

    2013-04-03

    Distributed energy resources, such as renewable energy resources (wind, solar), energy storage and demand response, can be used to complement conventional generators. The uncertainty and variability due to high penetration of wind makes reliable system operations and controls challenging, especially in isolated systems. In this paper, an optimal control strategy is proposed to coordinate energy storage and diesel generators to maximize wind penetration while maintaining system economics and normal operation performance. The goals of the optimization problem are to minimize fuel costs and maximize the utilization of wind while considering equipment life of generators and energy storage. Model predictive control (MPC) is used to solve a look-ahead dispatch optimization problem and the performance is compared to an open loop look-ahead dispatch problem. Simulation studies are performed to demonstrate the efficacy of the closed loop MPC in compensating for uncertainties and variability caused in the system.

  7. Resource Letter NSM-1: New insights into the nuclear shell model

    SciTech Connect (OSTI)

    Dean, David Jarvis [ORNL; Hamilton, J. H. [Vanderbilt University

    2011-01-01

    This Resource Letter provides a guide to the literature on the spherical shell model as applied to nuclei. The nuclear shell model describes the structure of nuclei starting with a nuclear core developed by the classical neutron and proton magic numbers N,Z=2,8,20,28,50,82, 126, where gaps occur in the single-particle energies as a shell is filled, and the interactions of valence nucleons that reside beyond that core. Various modern extensions of this model for spherical nuclei are likewise described. Significant extensions of the nuclear shell model include new magic numbers for spherical nuclei and now for deformed nuclei as well. When both protons and neutrons have shell gaps at the same spherical or deformed shapes, they can reinforce each other to give added stability to that shape and lead to new magic numbers. The vanishings of the classical spherical shell model energy gaps and magic numbers in new neutron-rich nuclei are described. Spherical and deformed shell gaps are seen to be critical for the existence of elements with Z > 100.

  8. CIM-EARTH: Community integrated model of economic and resource trajectories for humankind.

    SciTech Connect (OSTI)

    Elliott, J.; Foster, I.; Judd, K.; Moyer, E.; Munson, T.; Univ. of Chicago; Hoover Inst.

    2010-01-01

    Climate change is a global problem with local climatic and economic impacts. Mitigation policies can be applied on large geographic scales, such as a carbon cap-and-trade program for the entire U.S., on medium geographic scales, such as the NOx program for the northeastern U.S., or on smaller scales, such as statewide renewable portfolio standards and local gasoline taxes. To enable study of the environmental benefits, transition costs, capitalization effects, and other consequences of mitigation policies, we are developing dynamic general equilibrium models capable of incorporating important climate impacts. This report describes the economic framework we have developed and the current Community Integrated Model of Economic and Resource Trajectories for Humankind (CIM-EARTH) instance.

  9. NREL RSF Weather Data 2011 - Datasets - OpenEI Datasets

    Open Energy Info (EERE)

    RSF Weather Data 2011 A csv containing hourly weather data at NREL's Research and Support Facility (RSF) for 2011. Data and Resources NREL RSF Weather Data 2011CSV Preview Download...

  10. Robust Machine Learning Applied to Terascale Astronomical Datasets

    E-Print Network [OSTI]

    Nicholas M. Ball; Robert J. Brunner; Adam D. Myers

    2007-10-24

    We present recent results from the Laboratory for Cosmological Data Mining (http://lcdm.astro.uiuc.edu) at the National Center for Supercomputing Applications (NCSA) to provide robust classifications and photometric redshifts for objects in the terascale-class Sloan Digital Sky Survey (SDSS). Through a combination of machine learning in the form of decision trees, k-nearest neighbor, and genetic algorithms, the use of supercomputing resources at NCSA, and the cyberenvironment Data-to-Knowledge, we are able to provide improved classifications for over 100 million objects in the SDSS, improved photometric redshifts, and a full exploitation of the powerful k-nearest neighbor algorithm. This work is the first to apply the full power of these algorithms to contemporary terascale astronomical datasets, and the improvement over existing results is demonstrable. We discuss issues that we have encountered in dealing with data on the terascale, and possible solutions that can be implemented to deal with upcoming petascale datasets.

  11. Methodology for Clustering High-Resolution Spatiotemporal Solar Resource Data

    SciTech Connect (OSTI)

    Getman, Dan; Lopez, Anthony; Mai, Trieu; Dyson, Mark

    2015-09-01

    In this report, we introduce a methodology to achieve multiple levels of spatial resolution reduction of solar resource data, with minimal impact on data variability, for use in energy systems modeling. The selection of an appropriate clustering algorithm, parameter selection including cluster size, methods of temporal data segmentation, and methods of cluster evaluation are explored in the context of a repeatable process. In describing this process, we illustrate the steps in creating a reduced resolution, but still viable, dataset to support energy systems modeling, e.g. capacity expansion or production cost modeling. This process is demonstrated through the use of a solar resource dataset; however, the methods are applicable to other resource data represented through spatiotemporal grids, including wind data. In addition to energy modeling, the techniques demonstrated in this paper can be used in a novel top-down approach to assess renewable resources within many other contexts that leverage variability in resource data but require reduction in spatial resolution to accommodate modeling or computing constraints.

  12. On an improved sub-regional water resources management representation for integration into earth system models

    SciTech Connect (OSTI)

    Voisin, Nathalie; Li, Hongyi; Ward, Duane L.; Huang, Maoyi; Wigmosta, Mark S.; Leung, Lai-Yung R.

    2013-09-30

    Human influence on the hydrologic cycle includes regulation and storage, consumptive use and overall redistribution of water resources in space and time. Representing these processes is essential for applications of earth system models in hydrologic and climate predictions, as well as impact studies at regional to global scales. Emerging large-scale research reservoir models use generic operating rules that are flexible for coupling with earth system models. Those generic operating rules have been successful in reproducing the overall regulated flow at large basin scales. This study investigates the uncertainties of the reservoir models from different implementations of the generic operating rules using the complex multi-objective Columbia River Regulation System in northwestern United States as an example to understand their effects on not only regulated flow but also reservoir storage and fraction of the demand that is met. Numerical experiments are designed to test new generic operating rules that combine storage and releases targets for multi-purpose reservoirs and to compare the use of reservoir usage priorities, withdrawals vs. consumptive demand, as well as natural vs. regulated mean flow for calibrating operating rules. Overall the best performing implementation is the use of the combined priorities (flood control storage targets and irrigation release targets) operating rules calibrated with mean annual natural flow and mean monthly withdrawals. The challenge of not accounting for groundwater withdrawals, or on the contrary, assuming that all remaining demand is met through groundwater extractions, is discussed.

  13. Community Wind Handbook/Understand Your Wind Resource and Conduct...

    Open Energy Info (EERE)

    Help Apps Datasets Community Login | Sign Up Search Page Edit History Community Wind HandbookUnderstand Your Wind Resource and Conduct a Preliminary Estimate < Community...

  14. Welcome - OpenEI Datasets

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page| Open Energy Information Serbia-EnhancingEtGeorgia: Energy Resources Jump to:Search Your Data Search Popular Tags

  15. A Coupled Modeling System to Simulate Water Resources in the Rio Grande Basin

    SciTech Connect (OSTI)

    Bossert, J.E.; Breshears, D.D.; Campbell, K.; Costigan, K.R.; Greene, R.K.; Keating, E.H.; Kleifgen, L.M.; Langley, D.L.; Martens, S.N.; Sanderson, J.G.; Springer, E.P.; Stalker, J.R.; Tartakovsky, D.M.; Winter, C.L.; Zyvoloski, G.A.

    1999-01-11

    Limited availability of fresh water in arid and semi-arid regions of the world requires prudent management strategies from accurate, science-based assessments. These assessments demand a thorough understanding of the hydrologic cycle over long time periods within the individual water-sheds that comprise large river basins. Measurement and simulation of the hydrologic cycle is a tremendous challenge, involving a coupling between global to regional-scale atmospheric precipitation processes with regional to local-scale land surface and subsurface water transport. Los Alamos National Laboratory is developing a detailed modeling system of the hydrologic cycle and applying this tool at high resolution to assess the water balance within the upper Rio Grande river basin. The Rio Grande is a prime example of a river system in a semiarid environment, with a high demand from agricultural, industrial, recreational, and municipal interests for its water supply. Within this river basin, groundwater supplies often augment surface water. With increasing growth projected throughout the river basin, however, these multiple water users have the potential to significantly deplete groundwater resources, thereby increasing the dependence on surface water resources.

  16. Model Solar Guidelines: A Resource for North Carolina Homeowners Associations to Facilitate Solar Projects

    Broader source: Energy.gov [DOE]

    As North Carolina's residential solar market grows, more homeowners associations are facing uncertainties about how to deal with solar installations in their communities. As part of an effort between the State Energy Program, NC Department of Environment and Natural Resources, and members of the U.S. Department of Energy's SunShot Solar Outreach Partnership (The Solar Foundation and the NC Clean Energy Technology Center), two new resources have been developed to help North Carolina homeowners associations (HOAs) and their architectural review committees work through these issues. The first is a short brochure detailing the benefits of solar energy, with particular emphasis on benefits to HOAs and homeowners, as well as the role that HOAs can play in facilities solar installations in their communities. The second is Model HOA solar design guidelines, developed specifically for North Carolina communities, which allow for solar installations to occur in a way that balances a homeowner's ability to install a solar energy system and legitimate community concerns about these systems.

  17. NREL Residential Buildings Group Partners - Datasets - OpenEI Datasets

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QAsource History ViewMayo, Maryland:NPI Ventures Ltd Jump to: navigation, search Name: NPIProgram

  18. 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

  19. OpenEI:Projects/Datasets Patterns | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIX ECoop Inc Jump to:Newberg, Oregon:OGE EnergyOklahoma:VisualizingOpenEIDatasetsDatasets

  20. Distributed energy resources in practice: A case study analysis and validation of LBNL's customer adoption model

    SciTech Connect (OSTI)

    Bailey, Owen; Creighton, Charles; Firestone, Ryan; Marnay, Chris; Stadler, Michael

    2003-02-01

    This report describes a Berkeley Lab effort to model the economics and operation of small-scale (<500 kW) on-site electricity generators based on real-world installations at several example customer sites. This work builds upon the previous development of the Distributed Energy Resource Customer Adoption Model (DER-CAM), a tool designed to find the optimal combination of installed equipment, and idealized operating schedule, that would minimize the site's energy bills, given performance and cost data on available DER technologies, utility tariffs, and site electrical and thermal loads over a historic test period, usually a recent year. This study offered the first opportunity to apply DER-CAM in a real-world setting and evaluate its modeling results. DER-CAM has three possible applications: first, it can be used to guide choices of equipment at specific sites, or provide general solutions for example sites and propose good choices for sites with similar circumstances; second, it can additionally provide the basis for the operations of installed on-site generation; and third, it can be used to assess the market potential of technologies by anticipating which kinds of customers might find various technologies attractive. A list of approximately 90 DER candidate sites was compiled and each site's DER characteristics and their willingness to volunteer information was assessed, producing detailed information on about 15 sites of which five sites were analyzed in depth. The five sites were not intended to provide a random sample, rather they were chosen to provide some diversity of business activity, geography, and technology. More importantly, they were chosen in the hope of finding examples of true business decisions made based on somewhat sophisticated analyses, and pilot or demonstration projects were avoided. Information on the benefits and pitfalls of implementing a DER system was also presented from an additional ten sites including agriculture, education, health care, airport, and manufacturing facilities.

  1. Carrots and Sticks: A Comprehensive Business Model for the Successful Achievement of Energy Efficiency Resource Standards Environmental Energy Technologies Division March 2011

    E-Print Network [OSTI]

    Satchwell, Andrew

    2011-01-01

    calculation of resource benefits, we include the avoided cost of energy,energy costs. Model Inputs Utility Characterization Business-as-Usual Scenario Analysis Model Calculations

  2. Time Utility Functions for Modeling and Evaluating Resource Allocations in a Heterogeneous Computing System

    SciTech Connect (OSTI)

    Briceno, Luis Diego [Colorado State University, Fort Collins; Khemka, Bhavesh [Colorado State University, Fort Collins; Siegel, Howard Jay [Colorado State University, Fort Collins; Maciejewski, Anthony A [ORNL; Groer, Christopher S [ORNL; Koenig, Gregory A [ORNL; Okonski, Gene D [ORNL; Poole, Stephen W [ORNL

    2011-01-01

    This study considers a heterogeneous computing system and corresponding workload being investigated by the Extreme Scale Systems Center (ESSC) at Oak Ridge National Laboratory (ORNL). The ESSC is part of a collaborative effort between the Department of Energy (DOE) and the Department of Defense (DoD) to deliver research, tools, software, and technologies that can be integrated, deployed, and used in both DOE and DoD environments. The heterogeneous system and workload described here are representative of a prototypical computing environment being studied as part of this collaboration. Each task can exhibit a time-varying importance or utility to the overall enterprise. In this system, an arriving task has an associated priority and precedence. The priority is used to describe the importance of a task, and precedence is used to describe how soon the task must be executed. These two metrics are combined to create a utility function curve that indicates how valuable it is for the system to complete a task at any given moment. This research focuses on using time-utility functions to generate a metric that can be used to compare the performance of different resource schedulers in a heterogeneous computing system. The contributions of this paper are: (a) a mathematical model of a heterogeneous computing system where tasks arrive dynamically and need to be assigned based on their priority, precedence, utility characteristic class, and task execution type, (b) the use of priority and precedence to generate time-utility functions that describe the value a task has at any given time, (c) the derivation of a metric based on the total utility gained from completing tasks to measure the performance of the computing environment, and (d) a comparison of the performance of resource allocation heuristics in this environment.

  3. Distributed energy resources customer adoption modeling with combined heat and power applications

    SciTech Connect (OSTI)

    Siddiqui, Afzal S.; Firestone, Ryan M.; Ghosh, Srijay; Stadler, Michael; Edwards, Jennifer L.; Marnay, Chris

    2003-07-01

    In this report, an economic model of customer adoption of distributed energy resources (DER) is developed. It covers progress on the DER project for the California Energy Commission (CEC) at Berkeley Lab during the period July 2001 through Dec 2002 in the Consortium for Electric Reliability Technology Solutions (CERTS) Distributed Energy Resources Integration (DERI) project. CERTS has developed a specific paradigm of distributed energy deployment, the CERTS Microgrid (as described in Lasseter et al. 2002). The primary goal of CERTS distributed generation research is to solve the technical problems required to make the CERTS Microgrid a viable technology, and Berkeley Lab's contribution is to direct the technical research proceeding at CERTS partner sites towards the most productive engineering problems. The work reported herein is somewhat more widely applicable, so it will be described within the context of a generic microgrid (mGrid). Current work focuses on the implementation of combined heat and power (CHP) capability. A mGrid as generically defined for this work is a semiautonomous grouping of generating sources and end-use electrical loads and heat sinks that share heat and power. Equipment is clustered and operated for the benefit of its owners. Although it can function independently of the traditional power system, or macrogrid, the mGrid is usually interconnected and exchanges energy and possibly ancillary services with the macrogrid. In contrast to the traditional centralized paradigm, the design, implementation, operation, and expansion of the mGrid is meant to optimize the overall energy system requirements of participating customers rather than the objectives and requirements of the macrogrid.

  4. Molten Regolith Electrolysis reactor modeling and optimization of in-situ resource utilization systems

    E-Print Network [OSTI]

    Schreiner, Samuel Steven

    2015-01-01

    In-Situ Resource Utilization (ISRU), the practice of leveraging space resources to support space exploration, has long been considered as a possible avenue for reducing the mass and cost of exploration architectures. In ...

  5. Continuous-Model Communication Complexity with Application in Distributed Resource Allocation in

    E-Print Network [OSTI]

    Dai, Huaiyu

    , is studied and the resource allocation is considered to be the procedure of computing a common function whose is provided based on the first order differentiation of the output function of resource allocation]. In this paper, we consider the distributed resource allocation as computing a multi-input-multi-output function

  6. dataset | OpenEI Community

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIX ECoop IncIowa (UtilityMichigan)data book Home Graham7781's picture Submitted

  7. datasets | OpenEI Community

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIX ECoop IncIowa (UtilityMichigan)data book Home Graham7781's picture Submitteddatasets

  8. OpenEI Community - dataset

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIXsourceII JumpQuarterly Smart Grid Data available for download onst,/0 en BigArtby

  9. OpenEI Community - datasets

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIXsourceII JumpQuarterly Smart Grid Data available for download onst,/0 en BigArtby

  10. Distributed energy resources customer adoption modeling with combined heat and power applications

    E-Print Network [OSTI]

    Siddiqui, Afzal S.; Firestone, Ryan M.; Ghosh, Srijay; Stadler, Michael; Edwards, Jennifer L.; Marnay, Chris

    2003-01-01

    Modeling with Combined Heat and Power Applications SCE, S.Modeling with Combined Heat and Power Applications FigureModeling with Combined Heat and Power Applications Figure

  11. Carrots and Sticks: A Comprehensive Business Model for the Successful Achievement of Energy Efficiency Resource Standards

    E-Print Network [OSTI]

    Satchwell, Andrew

    2013-01-01

    energy efficiency business model on utility earnings EES w/energy efficiency business model on utility ROE EES w/RPCand alternative utility business model components to align

  12. FTT:Power : A global model of the power sector with induced technological change and natural resource depletion

    E-Print Network [OSTI]

    Mercure, J -F

    2012-01-01

    This work introduces a model of Future Technology Transformations for the power sector (FTT:Power), a representation of global power systems based on market competition, induced technological change (ITC) and natural resource use and depletion. It is the first component of a family of sectoral bottom-up models of technology, designed for integration into the global macroeconometric model E3MG. ITC occurs as a result of technological learning produced by cumulative investment and leads to highly nonlinear, irreversible and path dependent technological transitions. The model uses a dynamic coupled set of logistic differential equations. As opposed to traditional bottom-up energy models based on systems optimisation, such differential equations offer an appropriate treatment of the times and structure of change involved in sectoral technology transformations, as well as a much reduced computational load. Resource use and depletion are represented by local cost-supply curves, which give rise to different regional...

  13. Pbm: A new dataset for blog mining

    E-Print Network [OSTI]

    Aziz, Mehwish

    2012-01-01

    Text mining is becoming vital as Web 2.0 offers collaborative content creation and sharing. Now Researchers have growing interest in text mining methods for discovering knowledge. Text mining researchers come from variety of areas like: Natural Language Processing, Computational Linguistic, Machine Learning, and Statistics. A typical text mining application involves preprocessing of text, stemming and lemmatization, tagging and annotation, deriving knowledge patterns, evaluating and interpreting the results. There are numerous approaches for performing text mining tasks, like: clustering, categorization, sentimental analysis, and summarization. There is a growing need to standardize the evaluation of these tasks. One major component of establishing standardization is to provide standard datasets for these tasks. Although there are various standard datasets available for traditional text mining tasks, but there are very few and expensive datasets for blog-mining task. Blogs, a new genre in web 2.0 is a digital...

  14. Bionimbus: a cloud for managing, analyzing and sharing large genomics datasets

    E-Print Network [OSTI]

    Grossman, Robert

    Bionimbus: a cloud for managing, analyzing and sharing large genomics datasets Allison P Heath,1 petabyte-scale cloud- based computing platforms containing these data, along with tools and resources to analyze it. Methods Bionimbus is an open source cloud- computing platform that is based primarily upon

  15. Injecting Utility into Anonymized Datasets Daniel Kifer

    E-Print Network [OSTI]

    Kifer, Dan

    Injecting Utility into Anonymized Datasets Daniel Kifer Department of Computer Science Cornell@cs.cornell.edu ABSTRACT Limiting disclosure in data publishing requires a careful balance between privacy and utility. On the other hand, the utility of such data has not been well-studied. In this paper we will discuss

  16. Graduate Opportunities in Earth Systems Modeling and Climate Impacts on Hydrology and Water Resources

    E-Print Network [OSTI]

    Graduate Opportunities in Earth Systems Modeling and Climate Impacts on Hydrology and Water research assistantships available in the general area of earth systems modeling and climate impacts

  17. Multiprocessor Resource Estimation Using a Stochastic Modeling Approach D. L. Andrews, M. A. Thornton, J. D. Bullard

    E-Print Network [OSTI]

    Thornton, Mitchell

    required resources.. The accuracy of the model is measured by validation using parallelism profiles under functions is presented. By using a data dependence graph, or alternatively, an available parallelism profile to a finite number of processing elements. 1 Introduction Parallelism profiles have been used in the past

  18. Model for Sustainable Urban Design With Expanded Sections on Distributed Energy Resources, February 2004

    Office of Energy Efficiency and Renewable Energy (EERE)

    Document describing a model design for urban development and redevelopment that will reduce urban energy consumption

  19. Water resources: sustainable water supply management and basin wide modelling Internationally it has been recognized that the most important challenge to ensuring sustainable

    E-Print Network [OSTI]

    Barthelat, Francois

    Water resources: sustainable water supply management and basin wide modelling Internationally it has been recognized that the most important challenge to ensuring sustainable water use is implementing integrated water resources management (IWRM). It provides the best framework for balancing

  20. Draft Fourth Northwest Conservation and Electric Power Plan, Appendix H DESCRIPTION OF RESOURCE ANALYSIS MODEL -ISAAC

    E-Print Network [OSTI]

    .................................................................................................................................................16 SYSTEM OPERATION AND PRODUCTION COSTING TO THE PACIFIC NORTHWEST HYDROPOWER SYSTEM'S EXTENDED HOURLY PEAKING CAPABILITY USING LINEAR PROGRAMMING #12;H-2 uses for analysis of resource cost- effectiveness and the quantitative treatment of uncertainty. ISAAC

  1. Modeling the resource consumption of Housing in New Orleans using System Dynamics

    E-Print Network [OSTI]

    Quinn, David James, Ph. D. Massachusetts Institute of Technology

    2008-01-01

    This work uses Systems Dynamics as a methodology to analyze the resource requirements of New Orleans as it recovers from Hurricane Katrina. It examines the behavior of the city as a system of stocks, flows and time delays ...

  2. Carrots and Sticks: A Comprehensive Business Model for the Successful Achievement of Energy Efficiency Resource Standards

    E-Print Network [OSTI]

    Satchwell, Andrew

    2013-01-01

    resource planning: electric and gas utilities in the USA.programs that the utility is planning or consideringPlanning. Report prepared by the National Association of Regulatory Utility

  3. Development of the resource model for the Decision Aids for Tunneling (DAT)

    E-Print Network [OSTI]

    Min, Sangyoon, 1973-

    2008-01-01

    The Decision Aids for Tunneling (DAT) are a computer based method with which distributions of tunnel construction time and cost as well as required and produced resources can be estimated considering uncertainties in ...

  4. Resource Optimization for CSDF-modeled Streaming Applications with Latency Constraints

    E-Print Network [OSTI]

    Stefanov, Todor Plamenov

    to execute the application should be minimized for better resource usage and energy efficiency. A few efforts Chen Institute of Robotics and Embedded Systems Technical University of Munich, Munich, Germany Email

  5. Implications of Model Structure and Detail for Utility Planning. Scenario Case Studies using the Resource Planning Model

    SciTech Connect (OSTI)

    Mai, Trieu; Barrows, Clayton; Lopez, Anthony; Hale, Elaine; Dyson, Mark; Eurek, Kelly

    2015-04-23

    We examine how model investment decisions change under different model configurations and assumptions related to renewable capacity credit, the inclusion or exclusion of operating reserves, dispatch period sampling, transmission power flow modeling, renewable spur line costs, and the ability of a planning region to import and export power. For all modeled scenarios, we find that under market conditions where new renewable deployment is predominantly driven by renewable portfolio standards, model representations of wind and solar capacity credit and interactions between balancing areas are most influential in avoiding model investments in excess thermal capacity. We also compare computation time between configurations to evaluate tradeoffs between computational burden and model accuracy. From this analysis, we find that certain advanced dispatch representations (e.g., DC optimal power flow) can have dramatic adverse effects on computation time but can be largely inconsequential to model investment outcomes, at least at the renewable penetration levels modeled. Finally, we find that certain underappreciated aspects of new capacity investment decisions and model representations thereof, such as spur lines for new renewable capacity, can influence model outcomes particularly in the renewable technology and location chosen by the model. Though this analysis is not comprehensive and results are specific to the model region, input assumptions, and optimization-modeling framework employed, the findings are intended to provide a guide for model improvement opportunities.

  6. Computer resources Computer resources

    E-Print Network [OSTI]

    Yang, Zong-Liang

    Computer resources 1 Computer resources available to the LEAD group Cédric David 30 September 2009 #12;Ouline · UT computer resources and services · JSG computer resources and services · LEAD computers· LEAD computers 2 #12;UT Austin services UT EID and Password 3 https://utdirect.utexas.edu #12;UT Austin

  7. Integration of Water Resource Models with Fayetteville Shale Decision Support and Information System

    SciTech Connect (OSTI)

    Cothren, Jackson; Thoma, Greg; DiLuzio, Mauro; Limp, Fred

    2013-06-30

    Significant issues can arise with the timing, location, and volume of surface water withdrawals associated with hydraulic fracturing of gas shale reservoirs as impacted watersheds may be sensitive, especially in drought years, during low flow periods, or during periods of the year when activities such as irrigation place additional demands on the surface supply of water. Significant energy production and associated water withdrawals may have a cumulative impact to watersheds over the short-term. Hence, hydraulic fracturing based on water withdrawal could potentially create shifts in the timing and magnitude of low or high flow events or change the magnitude of river flow at daily, monthly, seasonal, or yearly time scales. These changes in flow regimes can result in dramatically altered river systems. Currently little is known about the impact of fracturing on stream flow behavior. Within this context the objective of this study is to assess the impact of the hydraulic fracturing on the water balance of the Fayetteville Shale play area and examine the potential impacts of hydraulic fracturing on river flow regime at subbasin scale. This project addressed that need with four unique but integrated research and development efforts: 1) Evaluate the predictive reliability of the Soil and Water Assessment Tool (SWAT) model based at a variety of scales (Task/Section 3.5). The Soil and Water Assessment Tool (SWAT) model was used to simulate the across-scale water balance and the respective impact of hydraulic fracturing. A second hypothetical scenario was designed to assess the current and future impacts of water withdrawals for hydraulic fracturing on the flow regime and on the environmental flow components (EFCs) of the river. The shifting of these components, which present critical elements to water supply and water quality, could influence the ecological dynamics of river systems. For this purpose, we combined the use of SWAT model and Richter et al.’s (1996) methodology to assess the shifting and alteration of the flow regime within the river and streams of the study area. 2) Evaluate the effect of measurable land use changes related to gas development (well-pad placement, access road completion, etc.) on surface water flow in the region (Task/Section 3.7). Results showed that since the upsurge in shale-gas related activities in the Fayetteville Shale Play (between 2006 and 2010), shale-gas related infrastructure in the region have increase by 78%. This change in land-cover in comparison with other land-cover classes such as forest, urban, pasture, agricultural and water indicates the highest rate of change in any land-cover category for the study period. A Soil and Water Assessment Tool (SWAT) flow model of the Little Red River watershed simulated from 2000 to 2009 showed a 10% increase in storm water runoff. A forecast scenario based on the assumption that 2010 land-cover does not see any significant change over the forecast period (2010 to 2020) also showed a 10% increase in storm water runoff. Further analyses showed that this change in the stream-flow regime for the forecast period is attributable to the increase in land-cover as introduced by the shale-gas infrastructure. 3) Upgrade the Fayetteville Shale Information System to include information on watershed status. (Tasks/Sections 2.1 and 2.2). This development occurred early in the project period, and technological improvements in web-map API’s have made it possible to further improve the map. The current sites (http://lingo.cast.uark.edu) is available but is currently being upgraded to a more modern interface and robust mapping engine using funds outside this project. 4) Incorporate the methodologies developed in Tasks/Sections 3.5 and 3.7 into a Spatial Decision Support System for use by regulatory agencies and producers in the play. The resulting system is available at http://fayshale.cast.uark.edu and is under review the Arkansas Natural Resources Commission.

  8. Reliability Modeling and Simulation of Composite Power Systems with Renewable Energy Resources and Storage 

    E-Print Network [OSTI]

    Kim, Hagkwen

    2013-05-24

    This research proposes an efficient reliability modeling and simulation methodology in power systems to include photovoltaic units, wind farms and storage. Energy losses by wake effect in a wind farm are incorporated. Using the wake model, wind...

  9. Research project on CO2 geological storage and groundwater resources: Large-scale hydrological evaluation and modeling of impact on groundwater systems

    E-Print Network [OSTI]

    Birkholzer, Jens; Zhou, Quanlin; Rutqvist, Jonny; Jordan, Preston; Zhang, K.; Tsang, Chin-Fu

    2008-01-01

    storage on shallow groundwater and pressure-controlled72 5.2. Modeling of Regional Groundwater2 Geological Storage and Groundwater Resources Large-Scale

  10. Distributed energy resources in practice: A case study analysis and validation of LBNL's customer adoption model

    E-Print Network [OSTI]

    Bailey, Owen; Creighton, Charles; Firestone, Ryan; Marnay, Chris; Stadler, Michael

    2003-01-01

    California rebate increases optimal yearly energy costs fromCalifornia. http://www.powerlight.com Distributed Energy Resources in Practice CostCalifornia. 93 Figure 33: Cumulative Energy Expense Projections from BD Biosciences Pharmingen. 96 Figure 34: Aggregated Yearly Energy Cost

  11. Assimilating GRACE, hydrology and hydro-meteorology datasets for estimating

    E-Print Network [OSTI]

    Stuttgart, Universität

    1 Assimilating GRACE, hydrology and hydro-meteorology datasets for estimating monthly water storage from grace (M/t) #12;Datasets for assimilation: Geodesy 7 Power-law of the time-variable gravity field [mm/month] #12;Datasets for assimilation: Hydro-meteorology 9 Evapotranspiration (ETa) from era

  12. Implications of Model Configurations on Capacity Planning Decisions: Scenario Case Studies of the Western Interconnection and Colorado Region using the Resource Planning Model

    Broader source: Energy.gov [DOE]

    In this report, we analyze the impacts of model configuration and detail in capacity expansion models, computational tools used by utility planners looking to find the least cost option for planning the system and by researchers or policy makers attempting to understand the effects of various policy implementations. The present analysis focuses on the importance of model configurations—particularly those related to capacity credit, dispatch modeling, and transmission modeling—to the construction of scenario futures. Our analysis is primarily directed toward advanced tools used for utility planning and is focused on those impacts that are most relevant to decisions with respect to future renewable capacity deployment. To serve this purpose, we develop and employ the NREL Resource Planning Model to conduct a case study analysis that explores 12 separate capacity expansion scenarios of the Western Interconnection through 2030.

  13. Information Infrastructure for Publishing and Integrating Water Resource Data from Pacific Rim Universities in Support of Hydrologic Modeling and Integrated Water Resource Management

    E-Print Network [OSTI]

    Zaslavsky, Ilya

    2010-01-01

    Water Resource Data from Pacific Rim Universities in Supportbeen building capacity of Pacific Rim University partners inof the Association of Pacific Rim Universities (APRU). The

  14. Implications of Model Structure and Detail for Utility Planning: Scenario Case Studies Using the Resource Planning Model

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration would likeUniverseIMPACT EVALUATION PLAN FOR THE SITE- SPECIFICImplications of

  15. A general model of resource production and exchange in systems of interdependent specialists.

    SciTech Connect (OSTI)

    Conrad, Stephen Hamilton; Finley, Patrick D.; Beyeler, Walter Eugene; Brown, Theresa Jean; Glass, Robert John, Jr.; Breen, Peter; Kuypers, Marshall; Norton, Matthew David; Quach, Tu-Thach; Antognoli, Matthew; Mitchell, Michael David

    2011-11-01

    Infrastructures are networks of dynamically interacting systems designed for the flow of information, energy, and materials. Under certain circumstances, disturbances from a targeted attack or natural disasters can cause cascading failures within and between infrastructures that result in significant service losses and long recovery times. Reliable interdependency models that can capture such multi-network cascading do not exist. The research reported here has extended Sandia's infrastructure modeling capabilities by: (1) addressing interdependencies among networks, (2) incorporating adaptive behavioral models into the network models, and (3) providing mechanisms for evaluating vulnerability to targeted attack and unforeseen disruptions. We have applied these capabilities to evaluate the robustness of various systems, and to identify factors that control the scale and duration of disruption. This capability lays the foundation for developing advanced system security solutions that encompass both external shocks and internal dynamics.

  16. A Unifying Platform for Water Resources Management Using Physically-Based Model and Remote Sensing Data 

    E-Print Network [OSTI]

    Shin, Yongchul

    2012-12-07

    In recent years, physically-based hydrological models provided a robust approach to better understand the cause-effect relationships of effective hydraulic properties in soil hydrology. These have increased the flexibility ...

  17. Adaptive Management and Planning Models for Cultural Resources in Oil and Gas Fields in New Mexico and Wyoming

    SciTech Connect (OSTI)

    Eckerle, William; Hall, Stephen

    2005-12-30

    In 2002, Gnomon, Inc., entered into a cooperative agreement with the U.S. Department of Energy (DOE) National Energy Technology Laboratory (NETL) for a project entitled, Adaptive Management and Planning Models for Cultural Resources in Oil and Gas Fields in New Mexico and Wyoming (DE-FC26-02NT15445). This project, funded through DOE’s Preferred Upstream Management Practices grant program, examined cultural resource management practices in two major oil- and gas-producing areas, southeastern New Mexico and the Powder River Basin of Wyoming (Figure 1). The purpose of this project was to examine how cultural resources have been investigated and managed and to identify more effective management practices. The project also was designed to build information technology and modeling tools to meet both current and future management needs. The goals of the project were described in the original proposal as follows: Goal 1. Create seamless information systems for the project areas. Goal 2. Examine what we have learned from archaeological work in the southeastern New Mexico oil fields and whether there are better ways to gain additional knowledge more rapidly or at a lower cost. Goal 3. Provide useful sensitivity models for planning, management, and as guidelines for field investigations. Goal 4. Integrate management, investigation, and decision- making in a real-time electronic system. Gnomon, Inc., in partnership with the Wyoming State Historic Preservation Office (WYSHPO) and Western GeoArch Research, carried out the Wyoming portion of the project. SRI Foundation, in partnership with the New Mexico Historic Preservation Division (NMHPD), Statistical Research, Inc., and Red Rock Geological Enterprises, completed the New Mexico component of the project. Both the New Mexico and Wyoming summaries concluded with recommendations how cultural resource management (CRM) processes might be modified based on the findings of this research.

  18. ORNL/TM-2011/360 Reference Inflow Characterization for River Resource Reference Model:

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration wouldMass map shinesSolarNewsusceptometer underIRossybelle PeralesORN L/TM-- 1217

  19. Toward The Development Of Occurrence Models For Geothermal Resources In The

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION JEnvironmental Jump to:EA EISTJThin Film Solar TechnologiesCFRTopTen EnergyTorayWestern United

  20. A Resource Conceptual Model for the Ngatamariki Geothermal Field Based on

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION JEnvironmental Jump to:EAand Dalton JumpProgram |Recent Exploration Well Drilling and 3D MT

  1. Renewable Diesel from Algal Lipids: An Integrated Baseline for Cost, Emissions, and Resource Potential from a Harmonized Model

    SciTech Connect (OSTI)

    Davis, R.; Fishman, D.; Frank, E. D.; Wigmosta, M. S.; Aden, A.; Coleman, A. M.; Pienkos, P. T.; Skaggs, R. J.; Venteris, E. R.; Wang, M. Q.

    2012-06-01

    The U.S. Department of Energy's Biomass Program has begun an initiative to obtain consistent quantitative metrics for algal biofuel production to establish an 'integrated baseline' by harmonizing and combining the Program's national resource assessment (RA), techno-economic analysis (TEA), and life-cycle analysis (LCA) models. The baseline attempts to represent a plausible near-term production scenario with freshwater microalgae growth, extraction of lipids, and conversion via hydroprocessing to produce a renewable diesel (RD) blendstock. Differences in the prior TEA and LCA models were reconciled (harmonized) and the RA model was used to prioritize and select the most favorable consortium of sites that supports production of 5 billion gallons per year of RD. Aligning the TEA and LCA models produced slightly higher costs and emissions compared to the pre-harmonized results. However, after then applying the productivities predicted by the RA model (13 g/m2/d on annual average vs. 25 g/m2/d in the original models), the integrated baseline resulted in markedly higher costs and emissions. The relationship between performance (cost and emissions) and either productivity or lipid fraction was found to be non-linear, and important implications on the TEA and LCA results were observed after introducing seasonal variability from the RA model. Increasing productivity and lipid fraction alone was insufficient to achieve cost and emission targets; however, combined with lower energy, less expensive alternative technology scenarios, emissions and costs were substantially reduced.

  2. Sensing the Air We Breathe the OpenSense Zurich Dataset Jason Jingshi Li1

    E-Print Network [OSTI]

    Dalang, Robert C.

    pollution is a signifi- cant challenge for the sustainability of our environment. We quickly survey the air pollution modeling problem, introduce a new dataset of mobile air quality measurements in Zurich, and discuss the challenges of making sense of these data. Introduction Urban outdoor air pollution currently

  3. Segmentation of Biological Volume Datasets Using a Level-Set Framework

    E-Print Network [OSTI]

    Breen, David E.

    from standard 3D imaging devices, and are all noisy samplings of complex biological struc- tures models of complex structures from noisy datasets generated from 3D imaging ??? Support from NSF #ACI-00-20219 and #ACI-99-82273, the NIH/NSF Human Brain Project, and the Caltech SURF Program. Thanks also go to Dr

  4. SMART: A Stochastic Multiscale Model for the Analysis of Energy Resources, Technology and Policy

    E-Print Network [OSTI]

    Powell, Warren B.

    -use strategies (level of demand, demand response). A major component will be renewable energy that depend from wind, demands, prices and rainfall. We also wish to model long-term investment decisions demonstrate the methodology using both spatially aggregate and disaggregate representations of energy supply

  5. An Equal Opportunity / Affirmative Action Institution MODELS OF FOREST WATER RESOURCES

    E-Print Network [OSTI]

    Hill, Jeffrey E.

    MATERIALS (available at course reserve in Marston Science Library) - Hydrology and the Management - Handbook of Hydrology. 1992. D. Maidment PERFORMANCE EVALUATION Grading Scale: A = 100-90 C = 75-70 B+ = 89, if the goal is to predict the effects of clear-cutting vs. selective logging on watershed output, the model

  6. Renewable Resources: a national catalog of model projects. Volume 4. Western Solar Utilization Network Region

    SciTech Connect (OSTI)

    1980-07-01

    This compilation of diverse conservation and renewable energy projects across the United States was prepared through the enthusiastic participation of solar and alternate energy groups from every state and region. Compiled and edited by the Center for Renewable Resources, these projects reflect many levels of innovation and technical expertise. In many cases, a critique analysis is presented of how projects performed and of the institutional conditions associated with their success or failure. Some 2000 projects are included in this compilation; most have worked, some have not. Information about all is presented to aid learning from these experiences. The four volumes in this set are arranged in state sections by geographic region, coinciding with the four Regional Solar Energy Centers. The table of contents is organized by project category so that maximum cross-referencing may be obtained. This volume includes information on the Western Solar Utilization Network Region. (WHK)

  7. Renewable Resources: a national catalog of model projects. Volume 1. Northeast Solar Energy Center Region

    SciTech Connect (OSTI)

    1980-07-01

    This compilation of diverse conservation and renewable energy projects across the United States was prepared through the enthusiastic participation of solar and alternate energy groups from every state and region. Compiled and edited by the Center for Renewable Resources, these projects reflect many levels of innovation and technical expertise. In many cases, a critique analysis is presented of how projects performed and of the institutional conditions associated with their success or failure. Some 2000 projects are included in this compilation; most have worked, some have not. Information about all is presented to aid learning from these experiences. The four volumes in this set are arranged in state sections by geographic region, coinciding with the four Regional Solar Energy Centers. The table of contents is organized by project category so that maximum cross-referencing may be obtained. This volume includes information on the Northeast Solar Energy Center Region. (WHK).

  8. Renewable Resources: a national catalog of model projects. Volume 3. Southern Solar Energy Center Region

    SciTech Connect (OSTI)

    1980-07-01

    This compilation of diverse conservation and renewable energy projects across the United States was prepared through the enthusiastic participation of solar and alternate energy groups from every state and region. Compiled and edited by the Center for Renewable Resources, these projects reflect many levels of innovation and technical expertise. In many cases, a critique analysis is presented of how projects performed and of the institutional conditions associated with their success or failure. Some 2000 projects are included in this compilation; most have worked, some have not. Information about all is presented to aid learning from these experiences. The four volumes in this set are arranged in state sections by geographic region, coinciding with the four Regional Solar Energy Centers. The table of contents is organized by project category so that maximum cross-referencing may be obtained. This volume includes information on the Southern Solar Energy Center Region. (WHK)

  9. Multi-resolution integrated modeling for basin-scale water resources management and policy analysis

    SciTech Connect (OSTI)

    Gupta, Hoshin V. (Hoshin Vijai),; Brookshire, David S.; Springer, E. P.; Wagener, Thorsten

    2004-01-01

    Approximately one-third of the land surface of the Earth is considered to be arid or semi-arid with an annual average of less than 12-14 inches of rainfall. The availability of water in such regions is of course, particularly sensitive to climate variability while the demand for water is experiencing explosive population growth. The competition for available water is exerting considerable pressure on the water resources management. Policy and decision makers in the southwestern U.S. increasingly have to cope with over-stressed rivers and aquifers as population and water demands grow. Other factors such as endangered species and Native American water rights further complicate the management problems. Further, as groundwater tables are drawn down due to pumping in excess of natural recharge, considerable (potentially irreversible) environmental impacts begin to be felt as, for example, rivers run dry for significant portions of the year, riparian habitats disappear (with consequent effects on the bio-diversity of the region), aquifers compact resulting in large scale subsidence, and water quality begins to suffer. The current drought (1999-2002) in the southwestern U.S. is raising new concerns about how to sustain the combination of agricultural, urban and in-stream uses of water that underlie the socio-economic and ecological structure in the region. The water stressed nature of arid and semi-arid environments means that competing water uses of various kinds vie for access to a highly limited resource. If basin-scale water sustainability is to be achieved, managers must somehow achieve a balance between supply and demand throughout the basin, not just for the surface water or stream. The need to move water around a basin such as the Rio Grande or Colorado River to achieve this balance has created the stimulus for water transfers and water markets, and for accurate hydrologic information to sustain such institutions [Matthews et al. 2002; Brookshire et al 2003; Krause, Chermak Brookshire, 2003].

  10. Open Educational Resources from Performance Task using Video Analysis and Modeling - Tracker and K12 science education framework

    E-Print Network [OSTI]

    Wee, Loo Kang

    2014-01-01

    This invited paper discusses why Physics performance task by grade 9 students in Singapore is worth participating in for two reasons; 1) the video analysis and modeling are open access, licensed creative commons attribution for advancing open educational resources in the world and 2) allows students to be like physicists, where the K12 science education framework is adopted. Personal reflections on how physics education can be made more meaningful in particular Practice 1: Ask Questions, Practice 2: Use Models and Practice 5: Mathematical and Computational Thinking using Video Modeling supported by evidence based data from video analysis. This paper hopes to spur fellow colleagues to look into open education initiatives such as our Singapore Tracker community open educational resources curate on http://weelookang.blogspot.sg/p/physics-applets-virtual-lab.html as well as digital libraries http://iwant2study.org/lookangejss/ directly accessible through Tracker 4.86, EJSS reader app on Android and iOS and EJS 5....

  11. Design as a strategic resource : design's contributions to competitive advantage aligned with strategy models

    E-Print Network [OSTI]

    Stevens, John Simon

    2010-03-16

    of customer experience are managed by separate operational divisions, a service design approach seeks to unite them [Kimbell, 2009]. In attending to the intangible aspects that characterise services, the emerging practice of service design follows and draws... et al., 2009]. It is observed that a service design approach is likely to involve discussion of “value, busi- ness models and strategy” [Kimbell, 2009], and may indeed provoke a re-examination of the firm’s long-term direction or structure...

  12. Modeling the Impacts of Solar Distributed Generation on U.S. Water Resources

    SciTech Connect (OSTI)

    Amanda, Smith; Omitaomu, Olufemi A; Jaron, Peck

    2015-01-01

    Distributed electric power generation technologies typically use little or no water per unit of electrical energy produced; in particular, renewable energy sources such as solar PV systems do not require cooling systems and present an opportunity to reduce water usage for power generation. Within the US, the fuel mix used for power generation varies regionally, and certain areas use more water for power generation than others. The need to reduce water usage for power generation is even more urgent in view of climate change uncertainties. In this paper, we present an example case within the state of Tennessee, one of the top four states in water consumption for power generation and one of the states with little or no potential for developing centralized renewable energy generations. The potential for developing PV generation within Knox County, Tennessee, is studied, along with the potential for reducing water withdrawal and consumption within the Tennessee Valley stream region. Electric power generation plants in the region are quantified for their electricity production and expected water withdrawal and consumption over one year, where electrical generation data is provided over one year and water usage is modeled based on the cooling system(s) in use. Potential solar PV electrical production is modeled based on LiDAR data and weather data for the same year. Our proposed methodology can be summarized as follows: First, the potential solar generation is compared against the local grid demand. Next, electrical generation reductions are specified that would result in a given reduction in water withdrawal and a given reduction in water consumption, and compared with the current water withdrawal and consumption rates for the existing fuel mix. The increase in solar PV development that would produce an equivalent amount of power, is determined. In this way, we consider how targeted local actions may affect the larger stream region through thoughtful energy development. This model can be applied to other regions, other types of distributed generation, and used as a framework for modeling alternative growth scenarios in power production capacity in addition to modeling adjustments to existing capacity.

  13. Feedstock Logistics Datasets from DOE's Bioenergy Knowledge Discovery Framework (KDF)

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

    The Bioenergy Knowledge Discovery Framework invites users to discover the power of bioenergy through an interface that provides extensive access to research data and literature, GIS mapping tools, and collaborative networks. The Bioenergy KDF supports efforts to develop a robust and sustainable bioenergy industry. The KDF facilitates informed decision making by providing a means to synthesize, analyze, and visualize vast amounts of information in a relevant and succinct manner. It harnesses Web 2.0 and social networking technologies to build a collective knowledge system that can better examine the economic and environmental impacts of development options for biomass feedstock production, biorefineries, and related infrastructure. Holdings include datasets, models, and maps. [from https://www.bioenergykdf.net/content/about

  14. Feedstock Production Datasets from the Bioenergy Knowledge Discovery Framework

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

    The Bioenergy Knowledge Discovery Framework invites users to discover the power of bioenergy through an interface that provides extensive access to research data and literature, GIS mapping tools, and collaborative networks. The Bioenergy KDF supports efforts to develop a robust and sustainable bioenergy industry. The KDF facilitates informed decision making by providing a means to synthesize, analyze, and visualize vast amounts of information in a relevant and succinct manner. It harnesses Web 2.0 and social networking technologies to build a collective knowledge system that can better examine the economic and environmental impacts of development options for biomass feedstock production, biorefineries, and related infrastructure. [copied from https://www.bioenergykdf.net/content/about] Holdings include datasets, models, and maps and the collections are growing due to both DOE contributions and data uploads from individuals.

  15. Biofuel Distribution Datasets from the Bioenergy Knowledge Discovery Framework

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

    The Bioenergy Knowledge Discovery Framework invites users to discover the power of bioenergy through an interface that provides extensive access to research data and literature, GIS mapping tools, and collaborative networks. The Bioenergy KDF supports efforts to develop a robust and sustainable bioenergy industry. The KDF facilitates informed decision making by providing a means to synthesize, analyze, and visualize vast amounts of information in a relevant and succinct manner. It harnesses Web 2.0 and social networking technologies to build a collective knowledge system that can better examine the economic and environmental impacts of development options for biomass feedstock production, biorefineries, and related infrastructure. [copied from https://www.bioenergykdf.net/content/about] Holdings include datasets, models, and maps and the collections are growing due to both DOE contributions and individuals' data uploads.

  16. Biofuel Production Datasets from DOE's Bioenergy Knowledge Discovery Framework (KDF)

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

    The Bioenergy Knowledge Discovery Framework invites users to discover the power of bioenergy through an interface that provides extensive access to research data and literature, GIS mapping tools, and collaborative networks. The Bioenergy KDF supports efforts to develop a robust and sustainable bioenergy industry. The KDF facilitates informed decision making by providing a means to synthesize, analyze, and visualize vast amounts of information in a relevant and succinct manner. It harnesses Web 2.0 and social networking technologies to build a collective knowledge system that can better examine the economic and environmental impacts of development options for biomass feedstock production, biorefineries, and related infrastructure. [copied from https://www.bioenergykdf.net/content/about]

    Holdings include datasets, models, and maps and the collections arel growing due to both DOE contributions and data uploads from individuals.

  17. Fact #888: August 31, 2015 Historical Gas Prices - Dataset | Department of

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE:FinancingPetroleum12, 2015Executive Order14, 20111,FY 2007TrafficDepartmentin 2014 - Dataset

  18. Framework for Interactive Parallel Dataset Analysis on the Grid

    SciTech Connect (OSTI)

    Alexander, David A.; Ananthan, Balamurali; /Tech-X Corp.; Johnson, Tony; Serbo, Victor; /SLAC

    2007-01-10

    We present a framework for use at a typical Grid site to facilitate custom interactive parallel dataset analysis targeting terabyte-scale datasets of the type typically produced by large multi-institutional science experiments. We summarize the needs for interactive analysis and show a prototype solution that satisfies those needs. The solution consists of desktop client tool and a set of Web Services that allow scientists to sign onto a Grid site, compose analysis script code to carry out physics analysis on datasets, distribute the code and datasets to worker nodes, collect the results back to the client, and to construct professional-quality visualizations of the results.

  19. Evaluating socio-economic state of a country analyzing airtime credit and mobile phone datasets

    E-Print Network [OSTI]

    Gutierrez, Thoralf; Blondel, Vincent D

    2013-01-01

    Reliable statistical information is important to make political decisions on a sound basis and to help measure the impact of policies. Unfortunately, statistics offices in developing countries have scarce resources and statistical censuses are therefore conducted sporadically. Based on mobile phone communications and history of airtime credit purchases, we estimate the relative income of individuals, the diversity and inequality of income, and an indicator for socioeconomic segregation for fine-grained regions of an African country. Our study shows how to use mobile phone datasets as a starting point to understand the socio-economic state of a country, which can be especially useful in countries with few resources to conduct large surveys.

  20. One-way coupling of an integrated assessment model and a water resources model: evaluation and implications of future changes over the US Midwest

    SciTech Connect (OSTI)

    Voisin, Nathalie; Liu, Lu; Hejazi, Mohamad I.; Tesfa, Teklu K.; Li, Hongyi; Huang, Maoyi; Liu, Ying; Leung, Lai-Yung R.

    2013-11-18

    An integrated model is being developed to advance our understanding of the interactions between human activities, terrestrial system and water cycle, and how system interactions will be affected by a changing climate at the regional scale. As a first step towards that goal, a global integrated assessment model including a waterdemand model is coupled offline with a land surface hydrology – routing – water resources management model. A spatial and temporal disaggregation approach is developed to project the annual regional water demand simulations into a daily time step and subbasin representation. The model demonstrated reasonable ability to represent the historical flow regulation and water supply over the Midwest (Missouri, Upper Mississippi and Ohio). Implications for the future flow regulation, water supply and supply deficit are investigated using a climate change projection with the B1 emission scenario which affects both natural flow and water demand. Over the Midwest, changes in flow regulation are mostly driven by the change in natural flow due to the limited storage capacity over the Ohio and Upper Mississippi river basins. The changes in flow and demand have a combined effect on the Missouri Summer regulated flow. The supply deficit tends to be driven by the change in flow over the region. Spatial analysis demonstrates the relationship between the supply deficit and the change in demand over urban areas not along a main river or with limited storage, and over areas upstream of groundwater dependent fields with therefore overestimated demand.

  1. Wind Integration National Dataset (WIND) Toolkit

    Office of Energy Efficiency and Renewable Energy (EERE)

    For utility companies, grid operators and other stakeholders interested in wind energy integration, collecting large quantities of high quality data on wind energy resources is vitally important....

  2. A Dataset availability The ``public domain'' datasets are listed below with an anonymous ftp address. If you do

    E-Print Network [OSTI]

    Taylor, Charles C.

    APPENDICES A Dataset availability The ``public domain'' datasets are listed below with an anonymous of the classical statistical algorithms are available in standard statistical packages. Here we list some public is a Fortran program available from J. Hermans, Dept. of Medical Statistics, Niels Bohrweg 1, 2333 CA Leiden

  3. Pathway and Resource Overview

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

    using the Macro-System Model (MSM) * Resource and pathway analysis using the Hydrogen Demand and Resource Analysis Tool (HyDRA) * Status of water-electrolysis technology 2...

  4. Solar Resource Assessment

    SciTech Connect (OSTI)

    Renne, D.; George, R.; Wilcox, S.; Stoffel, T.; Myers, D.; Heimiller, D.

    2008-02-01

    This report covers the solar resource assessment aspects of the Renewable Systems Interconnection study. The status of solar resource assessment in the United States is described, and summaries of the availability of modeled data sets are provided.

  5. Seer: A Chemistry Web Portal for Scientific Literature and Datasets

    E-Print Network [OSTI]

    Mitra, Prasenjit

    SQL for datasets and Fedora as a storage middleware that connects to both front- end (application servers) and back-end (physical storage). Search and management of objects in Fedora is achieved by OAI-PMH compliant

  6. Activity Stream - STIL2 Swedish Office Buildings Survey - Datasets...

    Open Energy Info (EERE)

    over 1 year ago Jay Huggins created the dataset STIL2 Swedish Office Buildings Survey over 1 year ago License License Not Specified Author Swedish Energy Agency Contact OpenEI User...

  7. Index of /datasets/files/39

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QAsource History View NewTexas: Energy ResourcesOrder at 8, 13 (Vt. Water Res. Bd.County, Arkansas:

  8. Index of /datasets/files/41

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QAsource History View NewTexas: Energy ResourcesOrder at 8, 13 (Vt. Water Res. Bd.County, Arkansas:documentation

  9. Index of /datasets/files/961/pub

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QAsource History View NewTexas: Energy ResourcesOrder at 8, 13 (Vt. Water Res.:01 - 429 ThrottledARCHIVE/

  10. COMPUTATIONAL RESOURCES FOR BIOFUEL FEEDSTOCK SPECIES

    SciTech Connect (OSTI)

    Buell, Carol Robin [Michigan State University; Childs, Kevin L [Michigan State University

    2013-05-07

    While current production of ethanol as a biofuel relies on starch and sugar inputs, it is anticipated that sustainable production of ethanol for biofuel use will utilize lignocellulosic feedstocks. Candidate plant species to be used for lignocellulosic ethanol production include a large number of species within the Grass, Pine and Birch plant families. For these biofuel feedstock species, there are variable amounts of genome sequence resources available, ranging from complete genome sequences (e.g. sorghum, poplar) to transcriptome data sets (e.g. switchgrass, pine). These data sets are not only dispersed in location but also disparate in content. It will be essential to leverage and improve these genomic data sets for the improvement of biofuel feedstock production. The objectives of this project were to provide computational tools and resources for data-mining genome sequence/annotation and large-scale functional genomic datasets available for biofuel feedstock species. We have created a Bioenergy Feedstock Genomics Resource that provides a web-based portal or �clearing house� for genomic data for plant species relevant to biofuel feedstock production. Sequence data from a total of 54 plant species are included in the Bioenergy Feedstock Genomics Resource including model plant species that permit leveraging of knowledge across taxa to biofuel feedstock species.We have generated additional computational analyses of these data, including uniform annotation, to facilitate genomic approaches to improved biofuel feedstock production. These data have been centralized in the publicly available Bioenergy Feedstock Genomics Resource (http://bfgr.plantbiology.msu.edu/).

  11. 3D Covalent Organic Framework Materials database (Dataset) | SciTech

    Office of Scientific and Technical Information (OSTI)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of NaturalDukeWakefield MunicipalTechnicalInformation4563 LLNL Small-scale Friction(TechnicalRandomConnect Dataset: 3D

  12. Upload Data - OpenEI Datasets

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page| Open Energy Information Serbia-EnhancingEt Al.,Turin, New York:Power CompanyCROSS-VALIDATION OF

  13. Template:DatasetValue | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page| Open Energy Information Serbia-EnhancingEt Al., 2013) | Open EnergyDBpediaValue Jump to: navigation,

  14. NREL: Transmission Grid Integration - Wind Integration Datasets

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration wouldMass map shines lightGeospatial ToolkitSMARTS

  15. This paper evaluates and compares four volume rendering algorithms that have become rather popular for rendering datasets

    E-Print Network [OSTI]

    Bartz, Dirk

    popular for rendering datasets described on uniform rectilinear grids: raycasting, splatting, shear, and (ii) that with the infinitely thin surface the polygon mesh models the true object structures cloud-like phenomena, (ii) smoothly varying flow fields, or (iii) structures of varying depth (and

  16. BioEarth: Envisioning and developing a new regional earth system model to inform natural and agricultural resource management

    E-Print Network [OSTI]

    2015-01-01

    systems, coupled earth system models (EaSMs) are essential.a new regional earth system model to inform natural andthe Community Earth System Model (CESM; www2.cesm.ucar.edu)

  17. BioEarth: Envisioning and developing a new regional earth system model to inform natural and agricultural resource management

    E-Print Network [OSTI]

    2015-01-01

    a new regional earth system model to inform natural andsystems, coupled earth system models (EaSMs) are essential.coupled regional earth system models (EaSMs). Decision

  18. Final report for %22High performance computing for advanced national electric power grid modeling and integration of solar generation resources%22, LDRD Project No. 149016.

    SciTech Connect (OSTI)

    Reno, Matthew J.; Riehm, Andrew Charles; Hoekstra, Robert John; Munoz-Ramirez, Karina; Stamp, Jason Edwin; Phillips, Laurence R.; Adams, Brian M.; Russo, Thomas V.; Oldfield, Ron A.; McLendon, William Clarence, III; Nelson, Jeffrey Scott; Hansen, Clifford W.; Richardson, Bryan T.; Stein, Joshua S.; Schoenwald, David Alan; Wolfenbarger, Paul R.

    2011-02-01

    Design and operation of the electric power grid (EPG) relies heavily on computational models. High-fidelity, full-order models are used to study transient phenomena on only a small part of the network. Reduced-order dynamic and power flow models are used when analysis involving thousands of nodes are required due to the computational demands when simulating large numbers of nodes. The level of complexity of the future EPG will dramatically increase due to large-scale deployment of variable renewable generation, active load and distributed generation resources, adaptive protection and control systems, and price-responsive demand. High-fidelity modeling of this future grid will require significant advances in coupled, multi-scale tools and their use on high performance computing (HPC) platforms. This LDRD report demonstrates SNL's capability to apply HPC resources to these 3 tasks: (1) High-fidelity, large-scale modeling of power system dynamics; (2) Statistical assessment of grid security via Monte-Carlo simulations of cyber attacks; and (3) Development of models to predict variability of solar resources at locations where little or no ground-based measurements are available.

  19. 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.

  20. WATER RESOURCES RESEARCH, VOL. 29, NO. 11, PAGES 3727-3740, NOVEMBER 1993 Modeling of Multiphase Transport of Multicomponent Organic Contaminants

    E-Print Network [OSTI]

    Patzek, Tadeusz W.

    WATER RESOURCES RESEARCH, VOL. 29, NO. 11, PAGES 3727-3740, NOVEMBER 1993 Modeling of Multiphase. Although these organic liquids are designatedas "nonaque- ous," i.e., immiscible with water, their solubilities in water are, in fact, sufficientto render large quantities of ground- water unfit for human use

  1. Modelling and Management of Sustainable Basin-scale Water Resource Systems (Proceedings of a Boulder Symposium, July 1995). IAHS Publ. no. 231, 1995. 359

    E-Print Network [OSTI]

    Tesfatsion, Leigh

    Modelling and Management of Sustainable Basin-scale Water Resource Systems (Proceedings is based on a cost efficient frontier and is called the generalized flexible least squares method. The objective of this study is to apply the FLS method to hydrological time series. Data from the Green River

  2. There is a clear need in the public health and water resource management communities to develop modeling systems which provide robust predictions of water quality

    E-Print Network [OSTI]

    contribution to the nearshore water quality. Specifically, it assumes that pollution introducedBackground There is a clear need in the public health and water resource management communities to develop modeling systems which provide robust predictions of water quality and water quality standard

  3. Form:Dataset | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIX ECoopButtePowerEdistoWhiskeyFootprint Ventures Jump to:45 - Well PermitCountry Jump

  4. Index of /datasets/files/39/pub

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIXsource History View NewGuam:on Openei |source Historypub [ICO] Name Last modified Size

  5. Index of /datasets/files/41/pub

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIXsource History View NewGuam:on Openei |source Historypub [ICO] Name Last modified Size/

  6. Closing the loop: Linking Datasets to Publications and Back

    E-Print Network [OSTI]

    Alberto Accomazzi; Guenther Eichhorn; Arnold Rots

    2006-11-17

    With the mainstream adoption of references to datasets in astronomical manuscripts, researchers today are able to provide direct links from their papers to the original data that were used in their study. Following a process similar to the verification of references in manuscripts, publishers have been working with the NASA Astrophysics Data System (ADS) to validate and maintain links to these datasets. Similarly, many astronomical data centers have been tracking publications based on the observations that they archive, and have been working with the ADS to maintain links between their datasets and the bibliographic records in question. In addition to providing a valuable service to ADS users, maintaining these correlations allows the data centers to evaluate the scientific impact of their missions. Until recently, these two activities have evolved in parallel on independent tracks, with ADS playing a central role in bridging the connection between publishers and data centers. However, the ADS is now implementing the capability for all parties involved to find out which data links have been published with which manuscripts, and vice versa. This will allow data centers to periodically harvest the ADS to find out if there are new papers which reference datasets available in their archives. In this paper we summarize the state of the dataset linking project and describe the new harvesting interface.

  7. A Survey of Current Datasets for Vision and Language Research

    E-Print Network [OSTI]

    Francis Ferraro; Nasrin Mostafazadeh; Ting-Hao; Huang; Lucy Vanderwende; Jacob Devlin; Michel Galley; Margaret Mitchell

    2015-08-19

    Integrating vision and language has long been a dream in work on artificial intelligence (AI). In the past two years, we have witnessed an explosion of work that brings together vision and language from images to videos and beyond. The available corpora have played a crucial role in advancing this area of research. In this paper, we propose a set of quality metrics for evaluating and analyzing the vision & language datasets and categorize them accordingly. Our analyses show that the most recent datasets have been using more complex language and more abstract concepts, however, there are different strengths and weaknesses in each.

  8. NEASC Accreditation Resources Resource Topic

    E-Print Network [OSTI]

    Chandy, John A.

    Resources Info Source Weblink / Electronic Source Paper Academic Planning 2 E 2.1 X X Academic Plan Office.8, 4.9 REP 3 S4.17 Planning Activities Examples College of Agriculture and Natural Resources Website/ Appendix Number Weblink/ Electronic Source Paper Source Additional Resources Info Source Weblink

  9. BioEarth: Envisioning and developing a new regional earth system model to inform natural and agricultural resource management

    E-Print Network [OSTI]

    2015-01-01

    model for complex terrain. Water Resour Res 30:1665–1679systems (e.g. , land, air, or water). The interconnectednessof nitrogen, carbon, and water present daunting management

  10. A Dataset Search Engine for the Research Document Corpus

    E-Print Network [OSTI]

    Cormode, Graham

    -paper relationships, and find relevant datasets and their properties. I. INTRODUCTION Progress in science is made, PubMed, arXiv, Citeseer, Google Scholar, ACM Digital Library and IEEE CS Digital library. These present a search-engine like interface which allows users to search papers via keywords, or via faceted

  11. A Dataset Search Engine for the Research Document Corpus

    E-Print Network [OSTI]

    Greenberg, Albert

    -paper relationships, and find relevant datasets and their properties. I. INTRODUCTION Progress in science is made, PubMed, arXiv, Citeseer, Google Scholar, ACM Digital Library and IEEE CS Digital library. These present a search-engine like interface which allow users to search papers via keywords, or via faceted

  12. Global Sediment Thickness Dataset updated for the Australian-Antarctic

    E-Print Network [OSTI]

    Müller, Dietmar

    Global Sediment Thickness Dataset updated for the Australian-Antarctic Southern Ocean Joanne author: jo.whittaker@utas.edu.au Key Points - Global minimum sediment thickness compilation updated for Australia Antarctica - Sediment thicknesses computed from seismic reflection and refraction data - Sediment

  13. Estimating Dataset Size Requirements for Classifying DNA Microarray Data

    E-Print Network [OSTI]

    Poggio, Tomaso

    + . + Whitehead Institute / Massachusetts Institute of Technology Center for Genome Research, Cambridge, MA 02139 approaches based on machine learning algorithms applied to DNA microarray data have been shown to have to extrapolate error statistics for larger datasets. Power calculations [Adcock 1997] are a standard approach

  14. Eastern Renewable Generation Integration Study Solar Dataset (Presentation)

    SciTech Connect (OSTI)

    Hummon, M.

    2014-04-01

    The National Renewable Energy Laboratory produced solar power production data for the Eastern Renewable Generation Integration Study (ERGIS) including "real time" 5-minute interval data, "four hour ahead forecast" 60-minute interval data, and "day-ahead forecast" 60-minute interval data for the year 2006. This presentation provides a brief overview of the three solar power datasets.

  15. Sensitivity of Steel Casting Simulation Results to Alloy Property Datasets

    E-Print Network [OSTI]

    Beckermann, Christoph

    1 Sensitivity of Steel Casting Simulation Results to Alloy Property Datasets Kent D. Carlson these groupings to other casting simulation results, because such grouping neglects property variation effects. The effects of four property variations are studied here: (1) solidification shrinkage; (2) liquidus

  16. WATER RESOURCES RESEARCH, VOL. 24, NO.9, PAGES 1483-1490,SEPTEMBER 1988 The Value of Stochastic Streamflow Models in

    E-Print Network [OSTI]

    Vogel, Richard M.

    that this uncertainty should be We consider two alternatives for calculating reservoir incorporated into the analysis Streamflow Models in Overyear Reservoir Design Applications RICHARD M. VOGEL Departmentof Civil EngineeringEngineering,Cornell University, New York The design of storage reservoirs using stochastic streamflow models and synthetic

  17. Water Resources Milind Sohoni

    E-Print Network [OSTI]

    Sohoni, Milind

    TD 603 Water Resources Milind Sohoni www.cse.iitb.ac.in/sohoni/ Building Numerical Models () August of surface flow of water and infiltration which may include time to flow, movement of solids etc. () August

  18. Additional Resources

    Broader source: Energy.gov [DOE]

    The following resources are focused on Federal new construction and major renovation projects, sustainable construction, and the role of renewable energy technologies in such facilities. These...

  19. Hawaii demand-side management resource assessment. Final report, Reference Volume 4: The DBEDT DSM assessment model user`s manual

    SciTech Connect (OSTI)

    1995-04-01

    The DBEDT DSM Assessment Model (DSAM) is a spreadsheet model developed in Quattro Pro for Windows that is based on the integration of the DBEDT energy forecasting model, ENERGY 2020, with the output from the building energy use simulation model, DOE-2. DOE-2 provides DSM impact estimates for both energy and peak demand. The ``User`s Guide`` is designed to assist DBEDT staff in the operation of DSAM. Supporting information on model structure and data inputs are provided in Volumes 2 and 3 of the Final Report. DSAM is designed to provide DBEDT estimates of the potential DSM resource for each county in Hawaii by measure, program, sector, year, and levelized cost category. The results are provided for gas and electric and for both energy and peak demand. There are two main portions of DSAM, the residential sector and the commercial sector. The basic underlying logic for both sectors are the same. However, there are some modeling differences between the two sectors. The differences are primarily the result of (1) the more complex nature of the commercial sector, (2) memory limitations within Quattro Pro, and (3) the fact that the commercial sector portion of the model was written four months after the residential sector portion. The structure for both sectors essentially consists of a series of input spreadsheets, the portion of the model where the calculations are performed, and a series of output spreadsheets. The output spreadsheets contain both detailed and summary tables and graphs.

  20. Resource Adequacy Standard for the Pacific Northwest

    E-Print Network [OSTI]

    and are limited to non-modeled resources and load management operations that are contractually available

  1. Organic aerosol components observed in Northern Hemispheric datasets from Aerosol Mass Spectrometry

    E-Print Network [OSTI]

    Kroll, Jesse

    In this study we compile and present results from the factor analysis of 43 Aerosol Mass Spectrometer (AMS) datasets (27 of the datasets are reanalyzed in this work). The components from all sites, when taken together, ...

  2. An Update of the Analytical Groundwater Modeling to Assess Water Resource Impacts at the Afton Solar Energy Zone

    SciTech Connect (OSTI)

    Quinn, John J.; Greer, Christopher B.; Carr, Adrianne E.

    2014-10-01

    The purpose of this study is to update a one-dimensional analytical groundwater flow model to examine the influence of potential groundwater withdrawal in support of utility-scale solar energy development at the Afton Solar Energy Zone (SEZ) as a part of the Bureau of Land Management’s (BLM’s) Solar Energy Program. This report describes the modeling for assessing the drawdown associated with SEZ groundwater pumping rates for a 20-year duration considering three categories of water demand (high, medium, and low) based on technology-specific considerations. The 2012 modeling effort published in the Final Programmatic Environmental Impact Statement for Solar Energy Development in Six Southwestern States (Solar PEIS; BLM and DOE 2012) has been refined based on additional information described below in an expanded hydrogeologic discussion.

  3. Carrots and Sticks: A Comprehensive Business Model for the Successful Achievement of Energy Efficiency Resource Standards Environmental Energy Technologies Division March 2011

    E-Print Network [OSTI]

    Satchwell, Andrew

    2011-01-01

    Achievement of Energy Efficiency Resource Standards AndrewAchievement of Energy Efficiency Resource Standardsthe same as an Energy Efficiency Resource Standard (EERS).

  4. Water Resources Development, Vol. 14, No. 3, 315 325, 1998 Hydrologic Modelling of the United States with the

    E-Print Network [OSTI]

    , water demands, point- sources of pollution, and land management affecting non-point pollution planning related to water and land management issues. Models are often required to assess the impacts and risks of management alternatives on the availability and quality of water in large and complex river

  5. Published in A. Drexl and A. Kimms (Eds), "Beyond Manufacturing Resource Planning (MRP II), Advanced Models and Methods for

    E-Print Network [OSTI]

    ), Advanced Models and Methods for Production Planning", Springer-Verlag, 1998, 379-411. Copyright, Springer (IDSS) to the lowest level of the PMS, namely the production activity control (PAC) subsystem. The IDSS the primitive Material Requirements Planning (MRP) features [22]. A production management system (PMS

  6. Semi-Markov modeling of dependability of VoIP network in the presence of resource degradation and security attacks

    E-Print Network [OSTI]

    Dharmaraja, S.

    of Technology, Delhi, India a r t i c l e i n f o Article history: Received 19 August 2010 Received in revised models. & 2011 Elsevier Ltd. All rights reserved. 1. Introduction Voice over Internet Protocol (VoIP), also known as Internet telephony, is the technology that enables people to use the Internet

  7. Volunteers - Resources

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

    SciClips Video Contest Sponsors Volunteers - Resources About Science Bowl Curriculum and Activities How to Build a Motor The Great Marble Drop How to Build a Turbine How...

  8. Renewable Resources: a national catalog of model projects. Volume 2. Mid-American Solar Energy Complex Region

    SciTech Connect (OSTI)

    1980-07-01

    This compilation of diverse conservation and renewable energy projects across the United States was prepared through the enthusiastic participation of solar and alternate energy groups from every state and region. Compiled and edited by the Center for Renewable Resources, these projects reflect many levels of innovation and technical expertise. In many cases, a critique analysis is presented of how projects performed and of the institutional conditions associated with their success or failure. Some 2000 projects are included in this compilation; most have worked, some have not. Information about all is presented to aid learning from these experiences. The four volumes in this set are arranged in state sections by geographic region, coinciding with the four Regional Solar Energy Centers. The table of contents is organized by project category so that maximum cross-referencing may be obtained. This volume includes information on the Mid-American Solar Energy Complex Region. (WHK)

  9. Volume Wires : A Framework for Empirical Non-linear Deformation of Volumetric Datasets

    E-Print Network [OSTI]

    Jones, Mark W.

    Volume Wires : A Framework for Empirical Non-linear Deformation of Volumetric Datasets S.J. Walton a new framework for non-linear, non-reconstructive deformation of volumetric datasets. Traditional techniques for deforming volumetric datasets non-linearly usually involve a reconstruction stage, where a new

  10. FTT:Power : A global model of the power sector with induced technological change and natural resource depletion

    E-Print Network [OSTI]

    Mercure, Jean-Francois

    2011-08-25

    to reproduce the sigmoid (S -shaped) character of techno- logical transitions that stem from their dynamic nature. Most models use instead procedures of energy systems optimisation based on cost minimisation, which produces optimal equilib- rium solutions... at every second, and therefore some flexibility must exist to make both meet. This is done with power plants which have the ability to vary their output rapidly, such as combined cycle gas turbines (CCGT) or hydroelectric dams. However, a large fraction...

  11. Teacher Resources

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home RoomPreservationBio-Inspired Solar Fuel ProductionRecoverable UserTeacher Resource Kit This

  12. Archaeological Resources

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home Room News Publications TraditionalWithAntiferromagnetic Spins DoApplyArchaeological Resources

  13. Resource Program

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration wouldMassR&D100Nationalquestionnaires 0serial codes on loginResonant SoftResource0

  14. Supplemental Note 1. Access to datasets.................................................................pg. 5 Table S1: Accession IDs and internet URLs for access to datasets

    E-Print Network [OSTI]

    Lonardi, Stefano

    SI Guide Supplemental Note 1. Access to datasets.................................................................pg. 5 Table S1: Accession IDs and internet URLs for access to datasets Supplemental Note 2. Physical map statistics of barley HICF map S2.2 Selection of "gene-bearing" BAC clones Supplemental Note 3. Genomic

  15. Fact #858 February 2, 2015 Retail Gasoline Prices in 2014 Experienced the Largest Decline since 2008 – Dataset

    Office of Energy Efficiency and Renewable Energy (EERE)

    Excel file with dataset for Retail Gasoline Prices in 2014 Experienced the Largest Decline since 2008

  16. Computing Resources

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration would like submit the following commentsMethodsCompositional6EnergyComputing

  17. Cultural Resources

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration would like submit theCovalent Bonding in ActinideRail betweenProtection and Control |

  18. Business resources

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 OutreachProductswsicloudwsiclouddenDVA N C E D B L OBransenBusiness networking and coaching at your

  19. Volunteers - Resources

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home RoomPreservationBio-Inspired SolarAbout /Two0 -UsingHeat & CoolVolker Urban

  20. Subcontractor Resources

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home RoomPreservation ofAlbuquerque|SensitiveAprilPhotonStructureStudents today.Please

  1. Online Resources

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of NaturalDukeWakefieldSulfateSciTechtail.Theory ofDid you notHeatMaRIEdioxideUser WorkEPVisitingOil & GasAdsorptionOnline

  2. Privacy Resources

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration wouldMass mapSpeedingProgramExemptions | National Nuclear SecurityRecords | Department

  3. Utility Resources

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power AdministrationRobust,Field-effectWorking WithTelecentric viewing system forPortal Building EnergyPages

  4. Internal Resources

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration would likeUniverseIMPACT EVALUATION PLANIsProcess RelevantInternal AuditDrawings/Photos | Links

  5. Marketing Resources

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home Room NewsInformationJesse BergkampCentermillion toMSDS onBudget ||EnergyMark Holecek |Mark

  6. Mobile Resources

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home Room NewsInformationJessework uses concrete7 AssessmentBusinessAlternative Fueling StationMobile

  7. Distributed energy resources at naval base ventura county building 1512

    E-Print Network [OSTI]

    Bailey, Owen C.; Marnay, Chris

    2004-01-01

    system. Distributed Energy Resources at Naval Base Ventura2003. “Distributed Energy Resources in Practice: A Case2004. “Distributed Energy Resources Customer Adoption Model

  8. Protein interaction network topology uncovers melanogenesis regulatory network components within functional genomics datasets

    E-Print Network [OSTI]

    Ho, Hsiang; Milenkovic, Tijana; Memisevic, Vesna; Aruri, Jayavani; Przulj, Natasa; Ganesan, Anand K

    2010-01-01

    components within functional genomics datasets BMC SystemssiRNA-based functional genomics of pigmentation identifiesrelated functional genomics data. J R Soc Interface Motulsky

  9. 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

  10. Carrots and Sticks: A Comprehensive Business Model for the Successful Achievement of Energy Efficiency Resource Standards Environmental Energy Technologies DivisionMarch 2011

    SciTech Connect (OSTI)

    Satchwell, Andrew; Cappers, Peter; Goldman, Charles

    2011-03-22

    Energy efficiency resource standards (EERS) are a prominent strategy to potentially achieve rapid and aggressive energy savings goals in the U.S. As of December 2010, twenty-six U.S. states had some form of an EERS with savings goals applicable to energy efficiency (EE) programs paid for by utility customers. The European Union has initiated a similar type of savings goal, the Energy End-use Efficiency and Energy Services Directive, where it is being implemented in some countries through direct partnership with regulated electric utilities. U.S. utilities face significant financial disincentives under traditional regulation which affects the interest of shareholders and managers in aggressively pursuing cost-effective energy efficiency. Regulators are considering some combination of mandated goals ('sticks') and alternative utility business model components ('carrots' such as performance incentives) to align the utility's business and financial interests with state and federal energy efficiency public policy goals. European countries that have directed their utilities to administer EE programs have generally relied on non-binding mandates and targets; in the U.S., most state regulators have increasingly viewed 'carrots' as a necessary condition for successful achievement of energy efficiency goals and targets. In this paper, we analyze the financial impacts of an EERS on a large electric utility in the State of Arizona using a pro-forma utility financial model, including impacts on utility earnings, customer bills and rates. We demonstrate how a viable business model can be designed to improve the business case while retaining sizable ratepayer benefits. Quantifying these concerns and identifying ways they can be addressed are crucial steps in gaining the support of major stakeholder groups - lessons that can apply to other countries looking to significantly increase savings targets that can be achieved from their own utility-administered EE programs.

  11. Visualization and quantification of evolving datasets. Final report: 8-1-93 - 4-30-97

    SciTech Connect (OSTI)

    Zabusky, N.; Silver, D.

    1999-07-20

    The material below is the final technical/progress report of the Laboratory for Visiometrics and Modeling (Vizlab) in visiometrics for the grant entitled Visualization and Quantification of Evolving Phenomena. This includes coordination with DOE supported scientists at Los Alamos National Laboratory (LANL) and Princeton Plasma Physics Laboratory (PPPL), and with theoretical and computational physicists at the National Institute of Fusion Science (NIFS) in Nagoya, Japan and the Institute of Laser Engineering (ILE) in Osaka, Japan. The authors research areas included: Enhancement and distribution of the DAVID environment, this is a 2D visualization environment incorporating many advanced quantifications and diagnostics useful for prediction, understanding, and reduced model formation; Feature extraction, tracking and quantification of 3D time-dependent datasets of non-linear and turbulent simulations both compressible and incompressible. This work is applicable to all 3D time-varying simulations; Visiometrics in shock-interface interactions and mixing for the Richtmyer-Meshkov (RM) environment. This work highlights reduced models for nonlinear evolutions and the role of density stratified interfaces (contact discontinuities) and has application to supernova physics, laser fusion and supersonic combustion. The collaborative projects included areas of (1) Feature extraction, tracking and quantification in 3D turbulence: compressible and incompressible; (2) Numerical Tokamak Project (NTP); (3) Data projection and reduced modeling for shock-interface interactions and mixing. (The Richtmyer-Meshkov (RM) environment relevant to laser fusion and combustion).

  12. Research project on CO2 geological storage and groundwater resources: Large-scale hydrological evaluation and modeling of impact on groundwater systems

    E-Print Network [OSTI]

    Birkholzer, Jens; Zhou, Quanlin; Rutqvist, Jonny; Jordan, Preston; Zhang, K.; Tsang, Chin-Fu

    2008-01-01

    1995. 1995 National Oil and Gas Assessment: Sacramento BasinNational assessment of United States oil and gas resources -

  13. A First Look at Inter-Data Center Traffic Characteristics via Yahoo! Datasets

    E-Print Network [OSTI]

    Zhang, Zhi-Li

    A First Look at Inter-Data Center Traffic Characteristics via Yahoo! Datasets Yingying Chen1 2 Arizona State University Abstract--Effectively managing multiple data centers and their traffic the anonymized NetFlow datasets collected at the border routers of five major Yahoo! data centers. Our

  14. Value-based Customer Grouping from Large Retail Data-sets Alexander Strehl and Joydeep Ghosh

    E-Print Network [OSTI]

    Strehl, Alexander

    on a real retail industry data-set of several thousand customers and products, to demonstrate the power of the proposed technique. Keywords: Data mining, clustering, graph partitioning, retail marketing 1. INTRODUCTIONValue-based Customer Grouping from Large Retail Data-sets Alexander Strehl and Joydeep Ghosh

  15. Comparing GPU Implementations of Bilateral and Anisotropic Diffusion Filters for 3D Biomedical Datasets

    SciTech Connect (OSTI)

    Howison, Mark

    2010-05-06

    We compare the performance of hand-tuned CUDA implementations of bilateral and anisotropic diffusion filters for denoising 3D MRI datasets. Our tests sweep comparable parameters for the two filters and measure total runtime, memory bandwidth, computational throughput, and mean squared errors relative to a noiseless reference dataset.

  16. World of Warcraft Avatar History Dataset Yeng-Ting Lee12

    E-Print Network [OSTI]

    Chen, Sheng-Wei

    World of Warcraft Avatar History Dataset Yeng-Ting Lee12 , Kuan-Ta Chen2 , Yun-Maw Cheng3 History (WoWAH) dataset, which comprises the records of 91, 065 avatars. The data includes the avatars on the Internet. In [26], it is reported that over 55% of Internet users are also online Permission to make

  17. Haptic Navigation in Volumetric Datasets Dirk Bartz1 and Ozlem Gurvit2

    E-Print Network [OSTI]

    Bartz, Dirk

    Haptic Navigation in Volumetric Datasets Dirk Bartz1 and ¨Ozlem G¨urvit2 1 WSI/GRIS, University for the interactive visual exploration of volumetric datasets. However, the usual display is oriented on surface information, such as the surface of volumetric objects. The actual volumetric information is difficult

  18. Resource Interfaces Arindam Chakrabarti1

    E-Print Network [OSTI]

    Henzinger, Thomas A.

    Resource Interfaces Arindam Chakrabarti1 , Luca de Alfaro2 , Thomas A. Henzinger1 , and Mari Abstract. We present a formalism for specifying component interfaces that expose component requirements? To solve these questions, we model interfaces with resource requirements as games with quantitative

  19. Fact #901: November 30, 2015 States Assessing Fees on Electric Vehicles to Make Up For Lost Fuel Tax Revenue- Dataset

    Broader source: Energy.gov [DOE]

    Excel file and dataset for States Assessing Fees on Electric Vehicles to Make Up For Lost Fuel Tax Revenue

  20. Fact #868: April 13, 2015 Automotive Technology Has Improved Performance and Fuel Economy of New Light Vehicles – Dataset

    Broader source: Energy.gov [DOE]

    Excel file and dataset for Automotive Technology Has Improved Performance and Fuel Economy of New Light Vehicles

  1. Fact #844: October 27, 2014 Electricity Generated from Coal has Declined while Generation from Natural Gas has Grown – Dataset

    Broader source: Energy.gov [DOE]

    Excel file with dataset for Fact #844: Electricity Generated from Coal has Declined while Generation from Natural Gas has Grown

  2. Fact #857 January 26, 2015 Number of Partner Workplaces Offering Electric Vehicle Charging More Than Tripled Since 2011 – Dataset

    Broader source: Energy.gov [DOE]

    Excel file with dataset for Number of Partner Workplaces Offering Electric Vehicle Charging More Than Tripled Since 2011

  3. Fact #834: August 18, 2014 About Two-Thirds of Transportation Energy Use is Gasoline for Light Vehicles – Dataset

    Broader source: Energy.gov [DOE]

    Excel file with dataset for Fact #834: About Two-Thirds of Transportation Energy Use is Gasoline for Light Vehicles

  4. Fact #845: November 3, 2014 From 1970 to 2013 the Share of Older Vehicles in Operation has Increased – Dataset

    Broader source: Energy.gov [DOE]

    Excel file with dataset for Fact #845: From 1970 to 2013 the Share of Older Vehicles in Operation has Increased

  5. Resource allocation using risk analysis

    SciTech Connect (OSTI)

    Bott, T. F. (Terrence F.); Eisenhawer, S. W. (Stephen W.)

    2003-01-01

    Allocating limited resources among competing priorities is an important problem in management. In this paper we describe an approach to resource allocation using risk as a metric. We call this approach the Logic-Evolved Decision (LED) approach because we use logic-models to generate an exhaustive set of competing options and to describe the often highly complex model used for evaluating the risk reduction achieved by different resource allocations among these options. The risk evaluation then proceeds using probabilistic or linguistic input data.

  6. 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...

  7. Energy Generation by State and Technology (2009) - Datasets ...

    Open Energy Info (EERE)

    2009, reported in MWh. Also includes facility-level data (directly from EIA Form 923). Data and Resources Energy Generation by Fuel Source and State, 2009XLS Energy Generation by...

  8. Page 1 TXCRDC Notes on Datasets Available in CRDCs Texas A&M University Census Research Data Center

    E-Print Network [OSTI]

    Bermúdez, José Luis

    Center Datasets Available in Census Research Data Centers Overview This document brings together short descriptions of many of the data sets that are widely used in Census research data centers around the country Datasets General Data Sets (including most Census Data Sets) Datasets from the National Center for Health

  9. The solar rotation rate from inversion of the first GONG datasets T. Corbard 1 , G. Berthomieu 1 , J. Provost 1

    E-Print Network [OSTI]

    Corbard, Thierry

    The solar rotation rate from inversion of the first GONG datasets T. Corbard 1 , G. Berthomieu 1 gives some results obtained by inverting the first GONG datasets for the rotational splittings of the so called averaging kernels Ÿ(r 0 ; ¯ 0 ; r; ¯) defined in Corbard et al. (1996). 2. GONG datasets

  10. Carrots and Sticks: A Comprehensive Business Model for the Successful Achievement of Energy Efficiency Resource Standards Environmental Energy Technologies Division March 2011

    E-Print Network [OSTI]

    Satchwell, Andrew

    2011-01-01

    of the energy efficiency business model in further detail.7   4.3 Business Modelenergy efficiency business model on utility earnings .

  11. The Development of a Coordinated Database for Water Resources and Flow Model in the Paso Del Norte Watershed (Phase III) Part I Lower Rio Grande Flood Control Model [LRGFCM] RiverWare Model Development 

    E-Print Network [OSTI]

    Tillery, Sue; Sheng, Zhuping; King, J. Phillip; Creel, Bobby; Brown, Christopher; Michelsen, Ari; Srinivasan, Raghavan; Granados, Alfredo

    2009-01-01

    of Las Cruces, Elephant Butte Irrigation District, El Paso County Water Improvement District #1 (EPCWID No. 1), El Paso Water Utilities, New Mexico Water Resources Research Institute (NMWRRI, which also houses the Project on its data server), Project... ..... . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 20 FIGURE 17. Correlations for Del Rio and La Mesa Drain s ..... . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 20 F I G U R E 18. Correl a t i o n s for East and Montoy a Dr ain...

  12. Economic regulation of electricity distribution utilities under high penetration of distributed energy resources : applying an incentive compatible menu of contracts, reference network model and uncertainty mechanisms

    E-Print Network [OSTI]

    Jenkins, Jesse D. (Jesse David)

    2014-01-01

    Ongoing changes in the use and management of electricity distribution systems - including the proliferation of distributed energy resources, smart grid technologies (i.e., advanced power electronics and information and ...

  13. INTERANNUAL VARIABILITY OF THE MARS THERMOSPHERE: NEW SIMULATIONS AND COMPARISONS WITH RECENT MARS DATASETS.

    E-Print Network [OSTI]

    Bougher, Stephen W.

    . R. Mur- phy, Department of Astronomy, New Mexico State University, USA (murphy@nmsu.edu), R. Lillis sense the atmosphere. These datasets provide a limited (spatial and temporal) clima- tological database

  14. Evaluation and integration of ancillary datasets for coastal wetland landcover classification using Landsat TM Imagery 

    E-Print Network [OSTI]

    Hinson, James Mithland

    1993-01-01

    Ancillary data were compared with ground-truth data for use in separating saline and fresh wetland-landcover classes exhibiting similar spectral signatures. Two ancillary datasets, United States Fish and Wildlife Service (USFWS) National Wetland...

  15. Multivariate Visual Explanation for High Dimensional Datasets Scott Barlowe, Tianyi Zhang, Yujie Liu, Jing Yang

    E-Print Network [OSTI]

    Ras, Zbigniew W.

    Multivariate Visual Explanation for High Dimensional Datasets Scott Barlowe, Tianyi Zhang, Yujie at Charlotte djacobs1@uncc.edu ABSTRACT Understanding multivariate relationships is an important task in multivariate data analysis. Unfortunately, existing multivariate vi- sualization systems lose effectiveness

  16. Precipitation climatology over India: validation with observations and reanalysis datasets and spatial trends

    E-Print Network [OSTI]

    2015-01-01

    long-term daily gridded precipitation dataset for asia based10.1007/s00382-015-2597-y Precipitation climatology over DP (2012) Urban precipitation extremes: how reliable are

  17. Index of /datasets/files/39/pub/documentation

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QAsource History View NewTexas: Energy ResourcesOrder at 8, 13 (Vt. Water Res. Bd.County, Arkansas:documentation

  18. DATASET BRIEF Proteomic characterization of the major arthropod

    E-Print Network [OSTI]

    Gotelli, Nicholas J.

    of biomolecules generated by a functioning ecosystem represents both a potential resource for sustainable harvest services in the form of plant and animal products that can be sustainably harvested [2]. Furthermore, plant. The leaves of this plant form a simple, open tube that fills with roughly 10 mL of rainwater and functions

  19. The! Community! Earth! System! Model! (CESM)! Large! Ensemble! Project:! A! Community!3! Resource!for!Studying!Climate!Change!in!the!Presence!of!Internal!Climate!Variability!4!

    E-Print Network [OSTI]

    Kay, Jennifer

    !1! !2! The! Community! Earth! System! Model! (CESM)! Large! Ensemble! Project:! A! Community!3!Earth!System!Model!(CESM)!community!designed!the!CESM!Large!Ensemble!39! (CESMWLE)!with!the!explicit

  20. 1 Environmental Resource Policy ENVIRONMENTAL RESOURCE

    E-Print Network [OSTI]

    Vertes, Akos

    1 Environmental Resource Policy ENVIRONMENTAL RESOURCE POLICY GRADUATE Master's program · Master of Arts in the field of environmental resource policy (http://bulletin.gwu.edu/arts-sciences/environmental CERTIFICATE · Graduate certificate in contexts of environmental policy (http://bulletin.gwu.edu/arts-sciences/environmental

  1. Digital Elevation Model, 0.5-m, Barrow Environmental Observatory, Alaska, 2012

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

    Gangodagamage, Chandana; Wilson, Cathy; Rowland, Joel

    The dataset is a digital elevation model, DEM, of a 2km by 7km region in the vicinity of the Barrow Environmental Observatory near Barrow, Ak.

  2. Digital Elevation Model, 0.5-m, Barrow Environmental Observatory, Alaska, 2012

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

    Wilson,Cathy; Rowland,Joel; Gangodagamage,Chandana

    2013-12-08

    The dataset is a digital elevation model, DEM, of a 2km by 7km region in the vicinity of the Barrow Environmental Observatory near Barrow, Ak.

  3. National Geothermal Resource Assessment and Classification |...

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

    This work will enable lower riskcost deployment of conventional and EGS geothermal power. USGS is also supporting GTP input to DOE National Energy Modeling by providing resource...

  4. Session: Wind resources and site characterisation 2 (DW3.5) Track: Technical

    E-Print Network [OSTI]

    Session: Wind resources and site characterisation 2 (DW3.5) Track: Technical THE BOLUND EXPERIMENT - A NEW DATASET OF LOCAL WIND CONDITIONS IN COMPLEX TERRAIN (abstract-ID: 357) Jeppe Johansen (Risř DTU, Wind Energy, Denmark) Haej Jřrgensen, Denmark (1) Andreas Bechman, Denmark (1) Mike Coutney, Denmark (1

  5. Texas Water Resources: Vulnerability from Contaminants 

    E-Print Network [OSTI]

    Dwivedi, Dipankar

    2012-10-02

    Numerical models of flow and transport are commonly applied for the sustainable management of water resources and for the selection of appropriate remediation techniques. However, these numerical models are not always ...

  6. Supply-side Resources & Planning Assumptions

    E-Print Network [OSTI]

    : ­ Central-station and distributedCentral station and distributed ­ Energy ­ Capacity (peaking and flex) ­ Storage Resource assessment data needs and applications R d f t Resources proposed for assessment Portfolio Model (RPM)­ Evaluate cost and risk of alternative resource portfolios 36/19/2013 Information flow

  7. NREL: Transmission Grid Integration - Solar Integration National Dataset

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration wouldMass map shines lightGeospatial ToolkitSMARTS -BeingFutureResearch Staff NREL'sToolkit

  8. OpenEI:Projects/Datasets Improvements | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIX ECoop Inc Jump to:Newberg, Oregon:OGE EnergyOklahoma:VisualizingOpenEIDatasets

  9. Energy API and dataset overview | OpenEI Community

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIX ECoopButtePowerEdisto Electric Coop, Inc JumpElko,Servizi Engineering SpA EEnergy API

  10. Colorado thermal spring water geothermometry (public dataset) | Open Energy

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIX ECoopButtePower Ventures Jump to: navigation,EnergyColoradoBank

  11. Clock Agreement Among Parallel Supercomputer Nodes (Dataset) | SciTech

    Office of Scientific and Technical Information (OSTI)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of NaturalDukeWakefieldSulfate Reducing Bacteria (TechnicalTransmission,TextitSciTechinRequirements fordioxide inputs to

  12. Conservation Conservation ResourcesConservation Resources

    E-Print Network [OSTI]

    sequestration,, coal gasification, carbon sequestration, energy storage, highenergy storage, highConfirm cost & availability of promising resources ­­ Oil sandsOil sands cogencogen, coal gasification, carbon

  13. Resources | Jefferson Lab

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

    Resources Resources Machine Control Center Display Jefferson Lab's accelerator is operated from the Machine Control Center. The MCC features a full-wall display that allows...

  14. Jefferson Lab Human Resources

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

    Human Resources The Human Resources team is fully integrated with Jefferson Lab's mission, committed to providing quality customer service based on expertise, innovation and...

  15. Solar Resource Assessment

    Broader source: Energy.gov [DOE]

    DOE solar resource research focuses on understanding historical solar resource patterns and making future predictions, both of which are needed to support reliable power system operation. As solar...

  16. Hawaii demand-side management resource assessment. Final report, Reference Volume 5: The DOETRAN user`s manual; The DOE-2/DBEDT DSM forecasting model interface

    SciTech Connect (OSTI)

    1995-04-01

    The DOETRAN model is a DSM database manager, developed to act as an intermediary between the whole building energy simulation model, DOE-2, and the DBEDT DSM Forecasting Model. DOETRAN accepts output data from DOE-2 and TRANslates that into the format required by the forecasting model. DOETRAN operates in the Windows environment and was developed using the relational database management software, Paradox 5.0 for Windows. It is not necessary to have any knowledge of Paradox to use DOETRAN. DOETRAN utilizes the powerful database manager capabilities of Paradox through a series of customized user-friendly windows displaying buttons and menus with simple and clear functions. The DOETRAN model performs three basic functions, with an optional fourth. The first function is to configure the user`s computer for DOETRAN. The second function is to import DOE-2 files with energy and loadshape data for each building type. The third main function is to then process the data into the forecasting model format. As DOETRAN processes the DOE-2 data, graphs of the total electric monthly impacts for each DSM measure appear, providing the user with a visual means of inspecting DOE-2 data, as well as following program execution. DOETRAN provides three tables for each building type for the forecasting model, one for electric measures, gas measures, and basecases. The optional fourth function provided by DOETRAN is to view graphs of total electric annual impacts by measure. This last option allows a comparative view of how one measure rates against another. A section in this manual is devoted to each of the four functions mentioned above, as well as computer requirements and exiting DOETRAN.

  17. Fact #839: September 22, 2014 World Petroleum Consumption Continues to Rise despite Declines from the United States and Europe- Dataset

    Broader source: Energy.gov [DOE]

    Excel file with dataset for Fact #839: World Petroleum Consumption Continues to Rise despite Declines from the United States and Europe

  18. Fact #851: December 15, 2014 The Average Number of Gears used in Transmissions Continues to Rise – Dataset

    Broader source: Energy.gov [DOE]

    Excel file with dataset for Fact #851: December 15, 2014 The Average Number of Gears used in Transmissions Continues to Rise

  19. Fact #838: September 15, 2014 Net Imports of Petroleum were Only 33% of U.S. Consumption in 2013- Dataset

    Broader source: Energy.gov [DOE]

    Excel file with dataset for Fact #838: Net Imports of Petroleum were Only 33% of U.S. Consumption in 2013

  20. Fact #846: November 10, 2014 Trucks Move 70% of all Freight by Weight and 74% of Freight by Value – Dataset

    Broader source: Energy.gov [DOE]

    Excel file with dataset for Fact #846: Trucks Move 70% of all Freight by Weight and 74% of Freight by Value

  1. Fact #853 December 29, 2014 Stop/Start Technology is in nearly 5% of All New Light Vehicles Produced- Dataset

    Broader source: Energy.gov [DOE]

    Excel file with dataset for Fact #853: December  29, 2014 Stop/Start Technology is in nearly 5% of All New Light Vehicles Produced

  2. Fact #850: December 8, 2014 Automatic Transmissions have closed the Fuel Economy Gap with Manual Transmissions- Dataset

    Broader source: Energy.gov [DOE]

    Excel file with dataset for Fact #850: December 8, 2014 Automatic Transmissions have closed the Fuel Economy Gap with Manual Transmissions

  3. Exploiting Compositionality to Explore a Large Space of Model Structures

    E-Print Network [OSTI]

    Grosse, Roger Baker

    The recent proliferation of richly structured probabilistic models raises the question of how to automatically determine an appropriate model for a dataset. We investigate this question for a space of matrix decomposition ...

  4. Distributed Energy Resources at Naval Base Ventura County Building 1512: A Sensitivity Analysis

    E-Print Network [OSTI]

    Bailey, Owen C.; Marnay, Chris

    2005-01-01

    2003. “Distributed Energy Resources in Practice: A Case2004. “Distributed Energy Resources Customer Adoption ModelDistributed Energy Resource Technology Characterizations”

  5. NREL: Renewable Resource Data Center - Wind Resource Information

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration wouldMass map shines lightGeospatial ToolkitSMARTS - Simple Model of theWind Resource

  6. NREL: Resource Assessment and Forecasting - Data and Resources

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration wouldMass map shines lightGeospatial ToolkitSMARTS - Simple Model ofData and Resources National

  7. Water Energy Resources of the United States with Emphasis on Low Head/Low Power Resources: Appendix A - Assessment Results by Hydrologic Region

    SciTech Connect (OSTI)

    Hall, Douglas

    2004-04-01

    Analytical assessments of the water energy resources in the 20 hydrologic regions of the United States were performed using state-of-the-art digital elevation models and geographic information system tools. The principal focus of the study was on low head (less than 30 ft)/low power (less than 1 MW) resources in each region. The assessments were made by estimating the power potential of all the stream segments in a region, which averaged 2 miles in length. These calculations were performed using hydrography and hydraulic heads that were obtained from the U.S. Geological Survey’s Elevation Derivatives for National Applications dataset and stream flow predictions from a regression equation or equations developed specifically for the region. Stream segments excluded from development and developed hydropower were accounted for to produce an estimate of total available power potential. The total available power potential was subdivided into high power (1 MW or more), high head (30 ft or more)/low power, and low head/low power total potentials. The low head/low power potential was further divided to obtain the fractions of this potential corresponding to the operating envelopes of three classes of hydropower technologies: conventional turbines, unconventional systems, and microhydro (less than 100 kW). Summing information for all the regions provided total power potential in various power classes for the entire United States. Distribution maps show the location and concentrations of the various classes of low power potential. No aspect of the feasibility of developing these potential resources was evaluated. Results for each of the 20 hydrologic regions are presented in Appendix A

  8. Principal Patterns on Graphs: Discovering Coherent Structures in Datasets

    E-Print Network [OSTI]

    Benzi, Kirell; Vandergheynst, Pierre

    2015-01-01

    In this work, we propose a fast, robust and scalable method for retrieving and analyzing recurring patterns of activity induced by a causal process, typically modeled as time series on a graph. We introduce a particular type of multilayer graph as a model for the data. This graph is structured for emphasizing causal relations between connected nodes and their successive time series values. Within the data, the patterns of activity are assumed to be dynamic, sparse or small compared to the size of the network. For some applications they are also expected to appear in a repeated manner over time but are allowed to differ from an exact copy. The analysis of the activity within a social network and within a transportation network illustrates the power and efficiency of the method. Relevant information can be extracted, giving insights on the behavior of group of persons in social networks and on traffic congestion patterns. Moreover, in this era of big data, it is crucial to design tools able to handle large data...

  9. Hawaii demand-side management resource assessment. Final report, Reference Volume 3 -- Residential and commercial sector DSM analyses: Detailed results from the DBEDT DSM assessment model; Part 1, Technical potential

    SciTech Connect (OSTI)

    1995-04-01

    The Hawaii Demand-Side Management Resource Assessment was the fourth of seven projects in the Hawaii Energy Strategy (HES) program. HES was designed by the Department of Business, Economic Development, and Tourism (DBEDT) to produce an integrated energy strategy for the State of Hawaii. The purpose of Project 4 was to develop a comprehensive assessment of Hawaii`s demand-side management (DSM) resources. To meet this objective, the project was divided into two phases. The first phase included development of a DSM technology database and the identification of Hawaii commercial building characteristics through on-site audits. These Phase 1 products were then used in Phase 2 to identify expected energy impacts from DSM measures in typical residential and commercial buildings in Hawaii. The building energy simulation model DOE-2.1E was utilized to identify the DSM energy impacts. More detailed information on the typical buildings and the DOE-2.1E modeling effort is available in Reference Volume 1, ``Building Prototype Analysis``. In addition to the DOE-2.1E analysis, estimates of residential and commercial sector gas and electric DSM potential for the four counties of Honolulu, Hawaii, Maui, and Kauai through 2014 were forecasted by the new DBEDT DSM Assessment Model. Results from DBEDTs energy forecasting model, ENERGY 2020, were linked with results from DOE-2.1E building energy simulation runs and estimates of DSM measure impacts, costs, lifetime, and anticipated market penetration rates in the DBEDT DSM Model. Through its algorithms, estimates of DSM potential for each forecast year were developed. Using the load shape information from the DOE-2.1E simulation runs, estimates of electric peak demand impacts were developed. Numerous tables and figures illustrating the technical potential for demand-side management are included.

  10. The role of metadata in managing large environmental science datasets. Proceedings

    SciTech Connect (OSTI)

    Melton, R.B.; DeVaney, D.M.; French, J. C.

    1995-06-01

    The purpose of this workshop was to bring together computer science researchers and environmental sciences data management practitioners to consider the role of metadata in managing large environmental sciences datasets. The objectives included: establishing a common definition of metadata; identifying categories of metadata; defining problems in managing metadata; and defining problems related to linking metadata with primary data.

  11. Investigating Gait Recognition in the Short-Wave Infrared (SWIR) Spectrum: Dataset and Challenges

    E-Print Network [OSTI]

    Ross, Arun Abraham

    Investigating Gait Recognition in the Short-Wave Infrared (SWIR) Spectrum: Dataset and Challenges that can confound recognition accuracy. In the context of automated human gait recognition, evaluation has literature has explored recognition in the passive thermal band. The advent of sophisticated sensors has

  12. Eective detection of remote homologues by searching in sequence dataset of a protein domain fold

    E-Print Network [OSTI]

    Srinivasan, N.

    Eˇective detection of remote homologues by searching in sequence dataset of a protein domain fold S in protein sequence databases to detect evolutionary relationships. We describe here a sensitive protocol to a fold. We have assessed this protocol by exploring the relationships we detect among sequences known

  13. Unbiased Metric Learning: On the Utilization of Multiple Datasets and Web Images for Softening Bias

    E-Print Network [OSTI]

    Torresani, Lorenzo

    collectors. Biases like these can have downstream effects in the use of vision datasets in the construction.g., Caltech 101 [7], PASCAL VOC [4], LabelMe [20] and SUN09 [3]) that en- able researchers to evaluate, such as illumination condition, different imaging sys- tem and preference of database collectors. Bias inevitably leads

  14. Experience with 3D Optical Flow on Gated MRI Cardiac Datasets

    E-Print Network [OSTI]

    Barron, John

    ventricular chamber which pumps oxygenated blood to the body, as these are good indicators of heart function of points on a surface while generic 3D optical ow is 3D volumetric motion. We present two sim- ple contain 20 volumes of 3D volumetric data for one synchronized heart beat, with each 3D vol- ume dataset

  15. Designing a Secure Storage Repository for Sharing Scientific Datasets using Public Clouds

    E-Print Network [OSTI]

    Hwang, Kai

    Designing a Secure Storage Repository for Sharing Scientific Datasets using Public Clouds Alok present an architecture for a secure data repository service designed on top of a public Cloud and Protection General Terms Public Clouds, Secure Cloud Storage, Access Control, Data Repository, eEngineering 1

  16. Exploring a Geographical Dataset with GEOLIS Olivier Bedel, Sebastien Ferre and Olivier Ridoux

    E-Print Network [OSTI]

    Ferré, Sébastien

    process of geographical data. GEOLIS re- lies on Logical Information Systems (LIS), which are based, Geographical Information Systems (GIS) provide tools to explore and analyse it. Geographical informationExploring a Geographical Dataset with GEOLIS Olivier Bedel, S´ebastien Ferr´e and Olivier Ridoux

  17. Nitrogen concentration and isotope dataset for environmental samples from 2012 and 2013, Barrow, Alaska

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

    Jeff Heikoop; Heather Throckmorton

    2015-05-15

    Dataset includes nitrate concentrations for polygonal active layer samples, snowmelt; ammonium concentrations for active layer samples; nitrate isotopes for active layer samples, snowmelt, permafrost; ammonium isotopes for active layer samples; and nitrogen isotopes for soils and dissolved organic nitrogen extracted from soil pore waters.

  18. Nitrogen concentration and isotope dataset for environmental samples from 2012 and 2013, Barrow, Alaska

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

    Jeff Heikoop; Heather Throckmorton

    Dataset includes nitrate concentrations for polygonal active layer samples, snowmelt; ammonium concentrations for active layer samples; nitrate isotopes for active layer samples, snowmelt, permafrost; ammonium isotopes for active layer samples; and nitrogen isotopes for soils and dissolved organic nitrogen extracted from soil pore waters.

  19. Sharing and integration of cognitive neuroscience data: Metric and pattern matching across heterogeneous ERP datasets

    E-Print Network [OSTI]

    Dou, Dejing

    heterogeneous ERP datasets Haishan Liu a,n , Gwen Frishkoff b , Robert Frank c , Dejing Dou a a Department in the sharing and integration of data from electrophysiological (ERP) studies of human brain function. The first challenge, ERP metric matching, is to identify correspondences among distinct summary features (``metrics

  20. TRICTRAC Video Dataset: Public HDTV Synthetic Soccer Video Sequences With Ground Truth.

    E-Print Network [OSTI]

    Piater, Justus H.

    monitoring, marketing and sport analysis. In order to enhance these technologies, an objective performance with the ground truth. One of the contributions of the TRICTRAC project is the supply to the video processing and Surveillance (PETS) workshop deals with these issues since 2000. It proposes datasets for surveillance, sports

  1. damidseq pipeline: an automated pipeline for processing DamID sequencing datasets

    E-Print Network [OSTI]

    Marshall, Owen J.; Brand, Andrea H.

    2015-06-25

    of DamID-seq datasets with normalisation based on read-counts alone can lead to high background and the loss of bound signal. DamID-seq thus presents novel challenges in terms of normalisation and background minimisation. We describe here damidseq_pipeline...

  2. The Natural Materials Browser: Using a Tablet Interface for Exploring Volumetric Materials Science Datasets

    E-Print Network [OSTI]

    California at Santa Barbara, University of

    The Natural Materials Browser: Using a Tablet Interface for Exploring Volumetric Materials Science, that allows a user to interact with volumetric datasets cre- ated from a series of natural materials samples. The data samples ­ high resolution meso-scale volumetric images of nutshells gath- ered via micro

  3. Capabilities of satellite precipitation datasets to estimate heavy precipitation rates at different temporal accumulations

    E-Print Network [OSTI]

    AghaKouchak, Amir

    Capabilities of satellite precipitation datasets to estimate heavy precipitation rates at different as alternative sources of precipitation information has been argued in numerous studies. Future developments in satellite precipitation algorithms as well as utilization of satellite data in operational applications rely

  4. Precipitation Characteristics of the South American Monsoon System Derived from Multiple Datasets

    E-Print Network [OSTI]

    Bookhagen, Bodo

    Precipitation Characteristics of the South American Monsoon System Derived from Multiple Datasets and is characterized by pronounced seasonality in precipitation during the austral summer. This study compares several statistical properties of daily gridded precipitation from different data (1998­2008): 1) Physical Sci- ences

  5. Department Head Resource Portal

    E-Print Network [OSTI]

    Salvaggio, Carl

    1 Department Head Resource Portal CREATING DEPARTMENT GOALS A goal is a condition we envision;2 Department Head Resource Portal NO DO YOU HAVE IT? YES ffff Achieve Preserve Avoid Eliminate NO DO YOU HAVE

  6. Geosciences: Integrated Analysis for Development of 3D Models of Earth

    E-Print Network [OSTI]

    Ward, Karen

    Geosciences: Integrated Analysis for Development of 3D Models of Earth Structure PI: Aaron A Potrillo Seismic Experiment Gravity and Magnetics #12; Joint inversion of several datasets allows Employ optimization schemes to improve current methods Single inversion dataset #2 Improved model

  7. Hydrothermal Resources Fact Sheet

    SciTech Connect (OSTI)

    U.S. Department of Energy, Office of Energy Efficiency and Renewable Energy

    2012-08-31

    This two-page fact sheet provides an overview of hydrothermal resources and hydrothermal reservoir creation and operation.

  8. Business Planning Resources

    Broader source: Energy.gov [DOE]

    Business Planning Resources, a presentation of the U.S. Department of Energy's Better Buildings Neighborhood Program.

  9. Sandia Energy - Solar Resource Assessment

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

    Solar Resource Assessment Home Stationary Power Energy Conversion Efficiency Solar Energy Photovoltaics Solar Resource Assessment Solar Resource AssessmentTara...

  10. RESOURCE DIRECTORY Students, Staff

    E-Print Network [OSTI]

    COMMUNITY RESOURCE DIRECTORY For MSU Students, Staff and Faculty #12;April 2010 Dear Colleague: I am pleased to provide you with the enclosed copy of a new Community Resource Directory recently updated by the MSU Family Resource Center (FRC). In these difficult economic times, some MSU employees

  11. Department Head Resource Portal

    E-Print Network [OSTI]

    Salvaggio, Carl

    1 Department Head Resource Portal NEW EMPLOYEE CHECKLIST New Staff Member Name: Department: Start Appearance expectations (e.g., business casual) #12;2 Department Head Resource Portal First Day Prep://myinfo.rit.edu (pay stub, benefits info, emergency contact, etc) Emergency exits #12;3 Department Head Resource Portal

  12. Energy Efficient Radio Resource

    E-Print Network [OSTI]

    Yanikomeroglu, Halim

    Energy Efficient Radio Resource Management in a Coordinated Multi-Cell Distributed Antenna System Hacettepe University 5 September 2014 Omer HALILOGLU (Hacettepe University) Energy Efficient Radio Resource mobility , 1 Gb/s at high mobility). Omer HALILOGLU (Hacettepe University) Energy Efficient Radio Resource

  13. environmental and resource

    E-Print Network [OSTI]

    environmental and resource management the polytechnic school innovation.asu.edu #12;undergraduate degree program B.S., environmental and resource management an optional accelerated program offers high The bachelor of science in Environmental and Resource Management (ERM) provides students the critical

  14. Federating LHCb datasets using the DIRAC File catalog

    E-Print Network [OSTI]

    Haen, Christophe; Frank, Markus; Tsaregorodtsev, Andrei

    2015-01-01

    In the distributed computing model of LHCb the File Catalog (FC) is a central component that keeps track of each file and replica stored on the Grid. It is federating the LHCb data files in a logical namespace used by all LHCb applications. As a replica catalog, it is used for brokering jobs to sites where their input data is meant to be present, but also by jobs for finding alternative replicas if necessary. The LCG File Catalog (LFC) used originally by LHCb and other experiments is now being retired and needs to be replaced. The DIRAC File Catalog (DFC) was developed within the framework of the DIRAC Project and presented during CHEP 2012. From the technical point of view, the code powering the DFC follows an Aspect oriented programming (AOP): each type of entity that is manipulated by the DFC (Users, Files, Replicas, etc) is treated as a separate 'concern' in the AOP terminology. Hence, the database schema can also be adapted to the needs of a Virtual Organization. LHCb opted for a highly tuned MySQL datab...

  15. Inference-based Geometric Modeling for the Generation of Complex Cluttered Virtual Environments 

    E-Print Network [OSTI]

    Biggers, Keith Edward

    2012-07-16

    . : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : 2 2 Surface splatting applied to a point cloud dataset. : : : : : : : : : : : 3 3 Moving Least Squares and contouring applied to a point cloud dataset. 4 4 Our solid modeling algorithm applied to a point cloud dataset. : : : 5 5 Overview... scanner-based point cloud of a cluttered environment. : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : 19 11 An example of a photo-based point cloud of a cluttered environment. 19 12 Point cloud samples and tted surface splats...

  16. Treatment Planning Constraints to Avoid Xerostomia in Head-and-Neck Radiotherapy: An Independent Test of QUANTEC Criteria Using a Prospectively Collected Dataset

    SciTech Connect (OSTI)

    Moiseenko, Vitali, E-mail: vmoiseenko@bccancer.bc.ca [Department of Medical Physics, Vancouver Cancer Centre, British Columbia Cancer Agency, Vancouver, BC (Canada); Wu, Jonn [Department of Radiation Oncology, Vancouver Cancer Centre, British Columbia Cancer Agency, Vancouver, BC (Canada); Hovan, Allan [Department of Oral Oncology, Vancouver Cancer Centre, British Columbia Cancer Agency, Vancouver, BC (Canada); Saleh, Ziad; Apte, Aditya; Deasy, Joseph O. [Department of Medical Physics, Memorial Sloan-Kettering Cancer Center, New York, NY (United States); Harrow, Stephen [Department of Radiation Oncology, Vancouver Cancer Centre, British Columbia Cancer Agency, Vancouver, BC (Canada); Rabuka, Carman; Muggli, Adam [Department of Oral Oncology, Vancouver Cancer Centre, British Columbia Cancer Agency, Vancouver, BC (Canada); Thompson, Anna [Department of Radiation Oncology, Vancouver Cancer Centre, British Columbia Cancer Agency, Vancouver, BC (Canada)

    2012-03-01

    Purpose: The severe reduction of salivary function (xerostomia) is a common complication after radiation therapy for head-and-neck cancer. Consequently, guidelines to ensure adequate function based on parotid gland tolerance dose-volume parameters have been suggested by the QUANTEC group and by Ortholan et al. We perform a validation test of these guidelines against a prospectively collected dataset and compared with a previously published dataset. Methods and Materials: Whole-mouth stimulated salivary flow data from 66 head-and-neck cancer patients treated with radiotherapy at the British Columbia Cancer Agency (BCCA) were measured, and treatment planning data were abstracted. Flow measurements were collected from 50 patients at 3 months, and 60 patients at 12-month follow-up. Previously published data from a second institution, Washington University in St. Louis (WUSTL), were used for comparison. A logistic model was used to describe the incidence of Grade 4 xerostomia as a function of the mean dose of the spared parotid gland. The rate of correctly predicting the lack of xerostomia (negative predictive value [NPV]) was computed for both the QUANTEC constraints and Ortholan et al. recommendation to constrain the total volume of both glands receiving more than 40 Gy to less than 33%. Results: Both datasets showed a rate of xerostomia of less than 20% when the mean dose to the least-irradiated parotid gland is kept to less than 20 Gy. Logistic model parameters for the incidence of xerostomia at 12 months after therapy, based on the least-irradiated gland, were D{sub 50} = 32.4 Gy and and {gamma} = 0.97. NPVs for QUANTEC guideline were 94% (BCCA data), and 90% (WUSTL data). For Ortholan et al. guideline NPVs were 85% (BCCA) and 86% (WUSTL). Conclusion: These data confirm that the QUANTEC guideline effectively avoids xerostomia, and this is somewhat more effective than constraints on the volume receiving more than 40 Gy.

  17. 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.

  18. Model- Waco Project 

    E-Print Network [OSTI]

    Unknown

    2011-08-17

    for their particular dataset. The remaining chapters list variables by file and discuss methods used to measure or calculate values for the input parameters. SWAT is a public domain model jointly developed by USDA Agricultural Research Service (USDA-ARS) and Texas A...

  19. Gibraltar: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    Energy Company 0 Research Institutions Add a Research Institution References UN Statistics Division CIA World Factbook, Appendix D Reegle Clean Energy Datasets...

  20. Bermuda: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    Energy Company 0 Research Institutions Add a Research Institution References UN Statistics Division CIA World Factbook, Appendix D Reegle Clean Energy Datasets Bermuda...

  1. Falkland Islands: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    Energy Company 0 Research Institutions Add a Research Institution References UN Statistics Division CIA World Factbook, Appendix D Reegle Clean Energy Datasets The...

  2. Water Resources Research Center Annual Technical Report

    E-Print Network [OSTI]

    Water Resources Research Center Annual Technical Report FY 1999 Introduction The period covered by this report has seen several changes at the University of Hawaii Water Resources Research Center. First. Robert, "In situ experimental analysis and modeling of diesel fuel bioremediation in a tidally influenced

  3. RICE UNIVERSITY Context for System Resource Management

    E-Print Network [OSTI]

    Zhong, Lin

    University. He is a great model of a caring advisor and hard working researcher. I am in debt to many greatRICE UNIVERSITY Context for System Resource Management: An Application in Wireless Data Management brings new opportunities for efficient and effective system resource management of mobile devices

  4. Arkansas Water Resources Center Annual Technical Report

    E-Print Network [OSTI]

    quality of surface water and groundwater, especially non-point source pollution and sensitive ecosystems wastewater disposal systems, ground water modeling and land use mapping, erosion and pollution, water qualityArkansas Water Resources Center Annual Technical Report FY 2012 Arkansas Water Resources Center

  5. Primer on gas integrated resource planning

    SciTech Connect (OSTI)

    Goldman, C.; Comnes, G.A.; Busch, J.; Wiel, S. [Lawrence Berkeley Lab., CA (United States)

    1993-12-01

    This report discusses the following topics: gas resource planning: need for IRP; gas integrated resource planning: methods and models; supply and capacity planning for gas utilities; methods for estimating gas avoided costs; economic analysis of gas utility DSM programs: benefit-cost tests; gas DSM technologies and programs; end-use fuel substitution; and financial aspects of gas demand-side management programs.

  6. Arctic energy resources

    SciTech Connect (OSTI)

    Rey, L.

    1983-01-01

    The Arctic is a vulnerable region with immense resources. These range from the replenishable (tidal energy, hydroelectricity, wood, biomass, fish, game, and geothermal energy) to the non-replenishable (coal, minerals, natural gas, hydrocarbon deposits). But the problems of exploiting such resources without damaging the environment of the Arctic are formidable. In this book all aspects are considered: occurrence of energy resources; the technological and economic aspects of exploration and exploitation; the environmental and social impact of technological development.

  7. Resources | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE: Alternative FuelsofProgram: Report AppendicesA Token Requesting A TokenResearchResourcesResources

  8. Jefferson Lab Information Resources

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

    Services Search Online Catalog Subject Pathfinders Databases E-Books Online Journals Print JournalsBackfiles Ask a Librarian Interlibrary Loan Request Additional Resources Library...

  9. Jefferson Lab - Resources

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

    https:www.jlab.orgresources

    Resources04.png"...

  10. Resources | Jefferson Lab

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

    Resources Machine Control Center Display Jefferson Lab's accelerator is operated from the Machine Control Center. The MCC features a full-wall display that allows operators to...

  11. Visual Resource Report

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

    Assessment Visual Resource Report in Support of the I-5 Corridor Reinforcement Project Environmental Impact Statement Prepared for: Bonneville Power Administration P.O. Box 3621...

  12. Sandia Energy - Resource Characterization

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

    siting and device deployment. Sandia develops and compiles resource assessments for potential and existing wave energy converter test and deployment sites. We utilize consistent,...

  13. Central American resource studies

    SciTech Connect (OSTI)

    Van Eeckhout, E.; Laughlin, A.W.

    1989-01-01

    Los Alamos National Laboratory has been working with five Central American countries to assist in the development of their energy and mineral resources. Since 1985, mineral resources in Costa Rica, peat resources in Costa Rica and Panama, geothermal energy resources in Honduras and Guatemala, and geothermal field development in El Salvador and Costa Rica have been topics of study. This paper presents an overview of this work -- within these proceedings are papers that deal with specific aspects of each topic, and these will be duly noted. 15 refs., 4 figs.

  14. Resources for Local Policymakers

    SciTech Connect (OSTI)

    SEE Action

    2012-06-01

    Provides a summary of State and Local Energy Efficiency Action Network (SEE Action) information resources available to local policymakers, organized by topic.

  15. Resources for Utility Regulators

    SciTech Connect (OSTI)

    SEE Action

    2012-06-01

    Provides a summary of State and Local Energy Efficiency Action Network (SEE Action) information resources available to utility regulators, organized by topic.

  16. Jefferson Lab Human Resources

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

    JLab Diversity Policies 200 Human Resources 202 Equal Employment Opportunity and Affirmative Action 203 Employment 208 Employee Performance and Conduct 209 Staff Development 210...

  17. Chapter 13 Cultural Resources

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

    Rural Electrification Administration, many rural cooperatives. Such efforts delivered low-cost power, expanded electric service regionally, and Chapter 13 Cultural Resources I-5...

  18. Energy Efficiency Resource Standard

    Office of Energy Efficiency and Renewable Energy (EERE)

    Washington voters passed Initiative 937 in 2006, creating a renewable energy standard and an energy efficiency resource standard for the state's electric utilities. Initiative 937, enacted as th...

  19. Estimation of two-parameter multilevel item response models with predictor variables: simulation and substantiation for an urban school district 

    E-Print Network [OSTI]

    Natesan, Prathiba

    2009-05-15

    IRT models. However, models such as 2-PL MLIRT models have not been studied yet. This dissertation consists of two studies, a simulation and a substantiation for an urban school district dataset. The simulation study tested the performance...

  20. Fact #869: April 20, 2015 Gasoline Direct Injection Captures 38% Market Share in Just Seven Years from First Significant Use – Dataset

    Broader source: Energy.gov [DOE]

    Excel file and dataset for Gasoline Direct Injection Captures 38% Market Share in Just Seven Years from First Significant Use

  1. Toward a Data Scalable Solution for Facilitating Discovery of Scientific Data Resources

    SciTech Connect (OSTI)

    Chappell, Alan R.; Choudhury, Sutanay; Feo, John T.; Haglin, David J.; Morari, Alessandro; Purohit, Sumit; Schuchardt, Karen L.; Tumeo, Antonino; Weaver, Jesse R.; Villa, Oreste

    2013-11-18

    Science is increasingly motivated by the need to process larger quantities of data. It is facing severe challenges in data collection, management, and processing, so much so that the computational demands of "data scaling" are competing with, and in many fields surpassing, the traditional objective of decreasing processing time. Example domains with large datasets include astronomy, biology, genomic, climate and weather, and material sciences. This paper presents a real-world use case in which we wish to answer queries provided by domain scientists in order to facilitate discovery of relevant science resources. The problem is that the metadata for these science resources is very large and is growing quickly, rapidly increasing the need for a data scaling solution. We propose the use of our SGEM stack -- a system designed for answering graph-based queries over large datasets on cluster architectures -- for answering complex queries over the metadata, and we report early results for our current capability.

  2. Physics Resources for Teachers

    E-Print Network [OSTI]

    Collar, Juan I.

    Physics Resources for Teachers University of Wisconsin ­ Madison Department of Physics 1150 University Ave. Madison, WI 53706 wonders@physics.wisc.edu (608) 262-2927 Plasma Physics Web Resources Center Plasma Physics Lab http://science-education.pppl.gov/ Coalition for Plasma Science http

  3. Water Resources Research Center

    E-Print Network [OSTI]

    District of Columbia, University of the

    Water Resources Research Center WASHINGTON, DISTRICT Of COLUMBIA #12;ASSESSMENT OF THE STATE OF THE ART AND DEVELOPMENT OF PROPOSED IMPROVEMENTS IN RECREATION BENEFIT, VALUATION FOR WATER RESOURCES PLANNING conducted by Robert C. Waters Vassilios Moustakis Department of Engineering Administration School

  4. ENVIRONMENTAL AND RESOURCE SCIENCE/

    E-Print Network [OSTI]

    Fox, Michael

    ENVIRONMENTAL AND RESOURCE SCIENCE/ STUDIES BUILDING ENVIRONMENTAL CITIZENSHIP trentu.ca/ers #12 Science/Studies. WHY TRENT? · Study in the first environmental science program to be accredited's Environmental and Resource Science program was the first to be accredited by ECO Canada Accessible versions

  5. Transmission/Resource Library/Enviromental Resources and Mitigation...

    Open Energy Info (EERE)

    Enviromental Resources and Mitigation < Transmission | Resource Library(Redirected from TransmissionResource LibraryMitigation) Redirect page Jump to: navigation, search...

  6. EFRC Resources-Resources-PHaSe-EFRC

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home Room NewsInformation Current HAB PacketDieselAbsorptionPowering the Future AsProcess

  7. ORISE Resources: Consumer Health Resource Information Service

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home Room NewsInformationJesseworkSURVEY UNIVERSE The 2014 surveyNuclearHow to Work With Us The

  8. Hydrogen Resources | Department of Energy

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

    Resources Hydrogen Resources Hydrogen can be produced from diverse, domestic resources. Currently, most hydrogen is produced from fossil fuels, specifically natural gas....

  9. Selected Blog Sites Related to Water Resources and Environmental Resources

    E-Print Network [OSTI]

    James, L. Allan

    Selected Blog Sites Related to Water Resources and Environmental Resources Water News: Circle Water Resources Association (JAWRA) - http://awramedia.org/mainblog/ WaterWired ­ personal blog (IWRM) ­ personal blog site of a water resources professional - http

  10. Parameterization of Urban Characteristics for Global Climate Modeling

    E-Print Network [OSTI]

    Jackson, Trisha L.

    2011-10-31

    The data presented here are part of a global dataset developed specifically for use in climate models to simulate urban climates for specific regions of the globe. Article abstract: To help understand potential effects of urbanization on climates...

  11. Resources | Argonne National Laboratory

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home RoomPreservation of Fe(II) byMultiday ProductionDesigning ResilientResources Available withResources

  12. Resources | Critical Materials Institute

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home RoomPreservation of Fe(II) byMultiday ProductionDesigning ResilientResources AvailableResources

  13. On Optimizing Joint Inversion of Constrained Geophysical Datasets Anibal Sosa1 Leticia Velazquez1;2, Aaron Velasco3,

    E-Print Network [OSTI]

    Ward, Karen

    of Texas at El Paso, El Paso, Texas 79968-0514, USA 3Department of Geological Sciences, The University) algorithm to characterize 1D earth structure using geophysical datasets with two different optimization

  14. FY13 Summary Report on the Augmentation of the Spent Fuel Composition Dataset for Nuclear Forensics: SFCOMPO/NF

    SciTech Connect (OSTI)

    Brady Raap, Michaele C.; Lyons, Jennifer A.; Collins, Brian A.; Livingston, James V.

    2014-03-31

    This report documents the FY13 efforts to enhance a dataset of spent nuclear fuel isotopic composition data for use in developing intrinsic signatures for nuclear forensics. A review and collection of data from the open literature was performed in FY10. In FY11, the Spent Fuel COMPOsition (SFCOMPO) excel-based dataset for nuclear forensics (NF), SFCOMPO/NF was established and measured data for graphite production reactors, Boiling Water Reactors (BWRs) and Pressurized Water Reactors (PWRs) were added to the dataset and expanded to include a consistent set of data simulated by calculations. A test was performed to determine whether the SFCOMPO/NF dataset will be useful for the analysis and identification of reactor types from isotopic ratios observed in interdicted samples.

  15. Datasets - OpenEI Datasets

    Open Energy Info (EERE)

    matter smaller than 2.5m and smaller than... CSV State Energy Efficient Appliance Rebate Program (SEEARP) reports database The State Energy Efficient Appliance Rebate Program...

  16. Datasets - OpenEI Datasets

    Open Energy Info (EERE)

    License Info DISCLAIMER NOTICE This GIS data was developed by the National Renewable Energy Laboratory... ZIP Wind: wind power density maps at 50m above ground and 1km...

  17. Distributed Energy Resources Market Diffusion Model

    E-Print Network [OSTI]

    Maribu, Karl Magnus; Firestone, Ryan; Marnay, Chris; Siddiqui, Afzal S.

    2006-01-01

    power generation with combined heat and power applications."central stations, combined heat and power (CHP) applicationsgeneration and combined heat and power (CHP) technologies,

  18. Distributed Energy Resources Market Diffusion Model

    E-Print Network [OSTI]

    Maribu, Karl Magnus; Firestone, Ryan; Marnay, Chris; Siddiqui, Afzal S.

    2006-01-01

    s database of U.S. electricity rates [8]. The three main2 shows the 2004 electricity rates for all four cities. The2: Assumed 2004 electricity rates for commercial buildings (

  19. Distributed Energy Resources Market Diffusion Model

    E-Print Network [OSTI]

    Maribu, Karl Magnus; Firestone, Ryan; Marnay, Chris; Siddiqui, Afzal S.

    2006-01-01

    to produce without any heat recovery if prices justify suchelectricity generation, heat recovery and absorption coolingcomes with systems for heat recovery, as can be seen in

  20. Distributed Energy Resources Market Diffusion Model

    E-Print Network [OSTI]

    Maribu, Karl Magnus; Firestone, Ryan; Marnay, Chris; Siddiqui, Afzal S.

    2006-01-01

    including patterns of heat recovery. Building energy loadsmarket potential the South. Heat recovery, especially withgeneration unit with heat recovery for space and water

  1. Distributed Energy Resources Market Diffusion Model

    E-Print Network [OSTI]

    Maribu, Karl Magnus; Firestone, Ryan; Marnay, Chris; Siddiqui, Afzal S.

    2006-01-01

    ratio Micro- turbines Reciprocating Engines The 2004 naturalreciprocating engines, gas turbines, and microturbines. Costreciprocating engines, microturbines, gas turbines, and fuel

  2. Wave Energy Resource Analysis for Use in Wave Energy Conversion 

    E-Print Network [OSTI]

    Pastor, J.; Liu, Y.; Dou, Y.

    2014-01-01

    In order to predict the response of wave energy converters an accurate representation of the wave climate resource is crucial. This paper gives an overview of wave resource modeling techniques as well as detailing a methodology for estimating...

  3. Ocean Energy Resource Basics

    Broader source: Energy.gov [DOE]

    Although the potential for ocean energy technologies is believed to be very large, no comprehensive studies have been conducted to date to determine an accurate resource assessment for the United States.

  4. Water Resources Policy & Economics

    E-Print Network [OSTI]

    Buehrer, R. Michael

    Water Resources Policy & Economics FOR 4984 Selected Course Topics · Appropriative and riparian water institutions · Incentives for conservation · Water rights for in-stream environmental use · Surface water-groundwater management · Water quality regulations · Water markets · Economic and policy

  5. Community Outreach Resources | ORNL

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

    For information on ORNL and its community outreach activities, please refer to the resources listed below or to one of our Community Outreach Contacts. If you have a general...

  6. Resource Adequacy INTRODUCTION

    E-Print Network [OSTI]

    whether there are sufficient non-hydro resources available to meet loads when the "fuel" for hydroelectric the amount of water for hydroelectric generation) and temperature (which affects the demand for electricity

  7. Human Resources & Rebecca Leinen

    E-Print Network [OSTI]

    Huang, Wei

    -Grounds Zone 4 Maintenance Health Systems Engineering Hospital Zone 1 Maintenance Operations Research Zone 2 Maintenance Environmental Resources Operations Cheryl Gomez Housing Facilities #12; Smeds Programs & Informatics Mark Webb Systems Engineering Office for Sustainability Maintenance

  8. Human Resource Management Delegation

    Broader source: Directives, Delegations, and Requirements [Office of Management (MA)]

    1996-06-28

    The notice is to clarifies and updates existing Human Resource Management Delegation Authorities and the levels to which they are delegated. Expired 6-28-97. Does not cancel any directives.

  9. Marine Conservation Resource overexploitation

    E-Print Network [OSTI]

    Marine Conservation · Overview · Resource overexploitation % Impacts on target spp % Impacts on non'target spp, % Impacts on community/ecosystem % Marine protected areas Friday: · Global climate change · Invasive species · Solutions · Study Guide: Monday !" April · Discussion: Wednesday# !$ April % Marine

  10. NREL: Renewable Resource Data Center - Solar Resource Data

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration wouldMass map shines lightGeospatial ToolkitSMARTS - Simple Model of the Atmospheric

  11. NREL: Renewable Resource Data Center - Solar Resource Information

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration wouldMass map shines lightGeospatial ToolkitSMARTS - Simple Model of the AtmosphericInformation

  12. Wind Resource Maps (Postcard)

    SciTech Connect (OSTI)

    Not Available

    2011-07-01

    The U.S. Department of Energy's Wind Powering America initiative provides high-resolution wind maps and estimates of the wind resource potential that would be possible from development of the available windy land areas after excluding areas unlikely to be developed. This postcard is a marketing piece that stakeholders can provide to interested parties; it will guide them to Wind Powering America's online wind energy resource maps.

  13. Wood Resources International

    E-Print Network [OSTI]

    ;Wood Resources International Production of energy from wood fuels in 2000 Source: EUBIONET 0 50 100 150.3% Sweden 5.3% Finland 4.1% Russia 13.8% US 37.3% Germany 3.3% France 2.8% Poland 2.1% Other Europe 14 #12;Wood Resources International Global Industrial Roundwood Production in 2002 Other Europe 6.9% CIS

  14. Resources | Department of Energy

    Energy Savers [EERE]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on DeliciousMathematicsEnergyInterestedReplacement-2-A Wholesale PowerNatural GasBreakout Sessions NotesResources

  15. Resources | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE: Alternative FuelsofProgram: Report AppendicesA Token Requesting A TokenResearchResources »

  16. Resources | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE: Alternative FuelsofProgram: Report AppendicesA Token Requesting A TokenResearchResources

  17. NATURAL RESOURCES ASSESSMENT

    SciTech Connect (OSTI)

    D.F. Fenster

    2000-12-11

    The purpose of this report is to summarize the scientific work that was performed to evaluate and assess the occurrence and economic potential of natural resources within the geologic setting of the Yucca Mountain area. The extent of the regional areas of investigation for each commodity differs and those areas are described in more detail in the major subsections of this report. Natural resource assessments have focused on an area defined as the ''conceptual controlled area'' because of the requirements contained in the U.S. Nuclear Regulatory Commission Regulation, 10 CFR Part 60, to define long-term boundaries for potential radionuclide releases. New requirements (proposed 10 CFR Part 63 [Dyer 1999]) have obviated the need for defining such an area. However, for the purposes of this report, the area being discussed, in most cases, is the previously defined ''conceptual controlled area'', now renamed the ''natural resources site study area'' for this report (shown on Figure 1). Resource potential can be difficult to assess because it is dependent upon many factors, including economics (demand, supply, cost), the potential discovery of new uses for resources, or the potential discovery of synthetics to replace natural resource use. The evaluations summarized are based on present-day use and economic potential of the resources. The objective of this report is to summarize the existing reports and information for the Yucca Mountain area on: (1) Metallic mineral and mined energy resources (such as gold, silver, etc., including uranium); (2) Industrial rocks and minerals (such as sand, gravel, building stone, etc.); (3) Hydrocarbons (including oil, natural gas, tar sands, oil shales, and coal); and (4) Geothermal resources. Groundwater is present at the Yucca Mountain site at depths ranging from 500 to 750 m (about 1,600 to 2,500 ft) below the ground surface. Groundwater resources are not discussed in this report, but are planned to be included in the hydrology section of future revisions of the ''Yucca Mountain Site Description'' (CRWMS M&O 2000c).

  18. A Dual-Paradigm Assessment of a Model to Guide the Formulation of National Human Resource Development (NHRD) Policy for Practice: National Learning for Economic, Political, and Socio-Cultural Performance and Wellbeing 

    E-Print Network [OSTI]

    Frank, Christine A.

    2015-05-13

    ) national resources (including human resources), (c) governance and power structure amongst actors, stakeholders, and potential partners, (d) national economic, political, and socio-cultural environment, and (e) integration at the individual...

  19. International H2O Project (IHOP) 2002: Datasets Related to Atmospheric Moisture and Rainfall Prediction

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

    Schanot, Allen [IHOP 2002 PI; Friesen, Dick [IHOP 2002 PI

    IHOP 2002 was a field experiment that took place over the Southern Great Plains of the United States from 13 May to 25 June 2002. The chief aim of IHOP_2002 was improved characterization of the four-dimensional (4-D) distribution of water vapor and its application to improving the understanding and prediction of convection. The region was an optimal location due to existing experimental and operational facilities, strong variability in moisture, and active convection [copied from http://www.eol.ucar.edu/projects/ihop/]. The project's master list of data identifies 146 publicly accessible datasets.

  20. Storage resource manager

    SciTech Connect (OSTI)

    Perelmutov, T.; Bakken, J.; Petravick, D.; /Fermilab

    2004-12-01

    Storage Resource Managers (SRMs) are middleware components whose function is to provide dynamic space allocation and file management on shared storage components on the Grid[1,2]. SRMs support protocol negotiation and reliable replication mechanism. The SRM standard supports independent SRM implementations, allowing for a uniform access to heterogeneous storage elements. SRMs allow site-specific policies at each location. Resource Reservations made through SRMs have limited lifetimes and allow for automatic collection of unused resources thus preventing clogging of storage systems with ''orphan'' files. At Fermilab, data handling systems use the SRM management interface to the dCache Distributed Disk Cache [5,6] and the Enstore Tape Storage System [15] as key components to satisfy current and future user requests [4]. The SAM project offers the SRM interface for its internal caches as well.

  1. 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

  2. World Shale Resource Assessments

    Reports and Publications (EIA)

    2015-01-01

    Four countries: Chad, Kazakhstan, Oman and the United Arab Emirates (UAE) have been added to report “Technically Recoverable Shale Oil and Shale Gas Resources.” The report provides an estimate of shale resources in selected basins around the world. The new chapters cover shale basins from the Sub-Saharan Africa region, represented by Chad; the Caspian region, represented by Kazakhstan; and the Middle East region, represented by Oman and the United Arab Emirates (UAE) and are available as supplemental chapters to the 2013 report.

  3. Teacher Resource Kit

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home RoomPreservationBio-Inspired Solar Fuel ProductionRecoverable UserTeacher Resource Kit This kit

  4. Resources | Critical Materials Institute

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of NaturalDukeWakefieldSulfateSciTechtail.Theory ofDid youOxygen Generation |Publications| BlandineResearchResourcesIn

  5. ARM - CHAPS: Campaign Resources

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of NaturalDukeWakefieldSulfateSciTechtail.TheoryTuesday, August 10, 20102016StudyCHAPS: Campaign Resources Campaign Details

  6. Resources & Links

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration wouldMassR&D100Nationalquestionnaires 0serial codes on loginResonantResources-and-Links

  7. Hydrothermal Resources Fact Sheet

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustmentsShirleyEnergyTher i nA Guide to TappingWORKof71 Hydrogen and Fuel Cells Successone of theResources

  8. Employee, Retiree Resources

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of NaturalDukeWakefieldSulfateSciTechtail.Theory ofDid you not find what youSummer InternshipPowerEmergingResources

  9. Manhattan Project: Resources

    Office of Scientific and Technical Information (OSTI)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of NaturalDukeWakefieldSulfate Reducing(Journalspectroscopy ofArticle)SciTechNorris Bradbury,Cubes of1945 RESOURCES

  10. LANSCE | Lujan Center | Resources

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home Room NewsInformationJesse Bergkamp Graduate student Subtask2 J.N.openNeutronUser Resources The links

  11. Energy Resource Potential

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration would like submitKansasCommunities EnergyU.S. DOE Office of99 Diagram4th, 2014Resource Potential

  12. Sandia Energy - Resource Assessment

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home RoomPreservation of Fe(II)Geothermal EnergyRenewable Energy Integration HomeResilientResource

  13. Bedmap2: improved ice bed, surface and thickness datasets for Antarctica

    E-Print Network [OSTI]

    2013-01-01

    Geography, Swansea University, Swansea, UK 11 Federal Institute for Geosciences and Natural Resources,

  14. Sumpter, Oregon: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page| Open Energy Information Serbia-Enhancing CapacityVectren)Model for the EntireOpenSumpter, Oregon: Energy Resources

  15. Symerton, Illinois: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page| Open Energy Information Serbia-Enhancing CapacityVectren)Model forTechnologies95Symerton, Illinois: Energy Resources

  16. Tallmadge, Ohio: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page| Open Energy Information Serbia-Enhancing CapacityVectren)ModelTalbotts Ltd Jump to:Tallmadge, Ohio: Energy Resources

  17. Tarlton, Ohio: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page| Open Energy Information Serbia-Enhancing CapacityVectren)ModelTalbotts LtdTarlton, Ohio: Energy Resources Jump to:

  18. Forest Resources and Management

    E-Print Network [OSTI]

    the forest resource. Our aim is that British forests ­ from their creation to maturity and regeneration and harvesting, and the physical properties of stands, trees and timber. Scope of our work Our research focuses expertise in forecasting forest growth is now applied to carbon assessment and management. We also work

  19. Water Resources Milind Sohoni

    E-Print Network [OSTI]

    Sohoni, Milind

    TD 603 Water Resources Milind Sohoni www.cse.iitb.ac.in/sohoni/ Lecture 6: Mathematics, z). velocity vx (x, y, z, t) : in the x-direction. vx = Kx h/x saturated/water- table. Continuity Equation What is vx x + vy y + vz z ? It is the rate of accumulation of water at the point (x, y

  20. Water Resources Milind Sohoni

    E-Print Network [OSTI]

    Sohoni, Milind

    TD 603 Water Resources Milind Sohoni www.cse.iitb.ac.in/sohoni/ Lecture 1: A Perspective () July 20, 2012 1 / 17 #12;Outline Two parts: The technical side to water. -M. Sohoni The basic hydrological cycle. The societal side to water. -N. C. Narayanan () July 20, 2012 2 / 17 #12;Texts Applied Hydrogeology, by C. W

  1. Generating Resources Advisory Committee

    E-Print Network [OSTI]

    Generating Resources Advisory Committee May 28, 2014 Steve Simmons Gillian Charles #12;2 9:30 AM plants 10:45 AM Break 11:00 AM Peaking Technologies Continued... 11:30 AM Combined Cycle Combustion Turbine and Utility Scale Solar PV Reference plant updates Levelized cost of energy 12:00 PM Lunch

  2. Generating Resources Advisory Committee

    E-Print Network [OSTI]

    Generating Resources Advisory Committee February 27, 2014 Steven Simmons and Gillian Charles Upcoming Symposium 9:15 am Natural Gas Peaking Technologies Technology Trends Proposed reference plant Costing, Economies of Scale, Normalizations Reference Plants 12:30 pm Discussion of Next GRAC Meetings

  3. Resources for medical student

    E-Print Network [OSTI]

    Leistikow, Bruce N.

    -mail. Resources for veterans UC Davis Veterans Affairs Office 1210 Dutton Hall Davis, CA 95616 Hours: 9 a.m. to 4 Davis School of Medicine Financial Aid Office 916-734-4120 financialaid@ucdmc.ucdavis.edu Sacramento/11 GI Bill (Chapter 33) military.com/education/gi-bill/new- post-911-gi-bill-overview.html Joining

  4. Water Resources Milind Sohoni

    E-Print Network [OSTI]

    Sohoni, Milind

    TD 603 Water Resources Milind Sohoni www.cse.iitb.ac.in/sohoni/ Lecture 8: Wells () August 28, 2012 project, utilizing enhanced ground-water. Water lifted from storage, to accumulate overnight from aquifer. Water from shallow aquifer, of about 7-8m thickness. accounts for about 30% of irrigation Unique

  5. Water Resources Milind Sohoni

    E-Print Network [OSTI]

    Sohoni, Milind

    TD 603 Water Resources Milind Sohoni www.cse.iitb.ac.in/sohoni/ Lecture 4: Groundwater () December in dried sample. Saturation: When these voids are fully filled with water. Specific Yield Sy : the ration of the colume of water that drains from a rock owing to gravity, to the total rock volumne. 00000000

  6. Water Resources Milind Sohoni

    E-Print Network [OSTI]

    Sohoni, Milind

    TD 603 Water Resources Milind Sohoni www.cse.iitb.ac.in/sohoni/ Lecture 10: Minor Structures for Ground and Surface Water () March 23, 2010 1 / 31 #12;Classification by Purpose We may classify the velocity of water-flow (ii) increasing the infiltration coefficient (iii) explicit groundwater recharge

  7. Water Resources Milind Sohoni

    E-Print Network [OSTI]

    Sohoni, Milind

    TD 603 Water Resources Milind Sohoni www.cse.iitb.ac.in/sohoni/ Lecture 2: Water cycle, stocks and flows () July 28, 2013 1 / 30 #12;The basic movement of water source: USGS. () July 28, 2013 2 / 30 #12, humidity and air flow. Formation of liquid-water in the Atmosphere-Cloud-Formation Coming Down Rain

  8. Water Resources Milind Sohoni

    E-Print Network [OSTI]

    Sohoni, Milind

    TD 603 Water Resources Milind Sohoni www.cse.iitb.ac.in/sohoni/ Lecture 7: Regional Groundwater than the unit situations that we saw. Surface water/Groundwater interactions. lakes and streams springs (seepage) Ambient water-table movements Seasonal changes Inteference with other water end-users. Inherent

  9. Water Resources Milind Sohoni

    E-Print Network [OSTI]

    Sohoni, Milind

    TD 603 Water Resources Milind Sohoni www.cse.iitb.ac.in/sohoni/ Lecture 5: Aquifer () August 16 above and below the ground, which affect the water balance. surface features affect infiltration parameters related to water: Porosity, specific yield n, Sy : the maximum volume fraction of water

  10. Water Resources Milind Sohoni

    E-Print Network [OSTI]

    Sohoni, Milind

    TD 603 Water Resources Milind Sohoni www.cse.iitb.ac.in/sohoni/ Analysis Framework for the 2009 / 16 #12;Vol II and Vol III Vol. II 1 Annexure I, Chap. 1: Bulk-water and tariffs-Principles. 2 Annexure I, Chap. 2: International Case Studies. 3 Annexure II: Report on water conservation technologies

  11. Water Resources Forests & Water

    E-Print Network [OSTI]

    Water Resources Forests & Water More than half of the nation's freshwater supply originates on forestland. Healthy and sustainable forests can help ensure a continuous supply of clean and abundant water. Not only does forestland provide the cleanest water of any land use, it also helps absorb rainfall

  12. Water Resources Milind Sohoni

    E-Print Network [OSTI]

    Sohoni, Milind

    TD 603 Water Resources Milind Sohoni www.cse.iitb.ac.in/sohoni/ Lecture 9: Water in Agriculture () January 13, 2010 1 / 14 #12;Water in Agriculture Historically: Biggest consumer of water, in developed kilos of sugar. Though the source of water in all the three cases is usually different. Agriculture

  13. WORKING PAPER Resource Economics

    E-Print Network [OSTI]

    WORKING PAPER 2008-07 REPA Resource Economics & Policy Analysis Research Group Department of Economics University of Victoria Forest-mill integration: a transaction costs perspective Kurt Niquidet, Moeltne, and Johnson) 2003-06 ­ Climate Change and Forest Ecosystem Sinks: Economic Analysis (van Kooten

  14. Engineering and Mineral Resources

    E-Print Network [OSTI]

    Mohaghegh, Shahab

    News ????????????????? ® College of Engineering and Mineral Resources Winter 2008 table of contents. . . . . . . . . . . . . . . . . . . . 7 wvCROSSROADS DepartmentofCivilandEnvironmentalEngineering Civil engineering exchange program and environmental engineering with a focus in transportation will have the opportunity to study abroad as part

  15. LIBRARY RESOURCES FOR FACULTY

    E-Print Network [OSTI]

    LIBRARY RESOURCES FOR FACULTY #12;Meet Us Pictured here are just a few of the people at the University of Toronto Libraries who support teaching, learning and research every day. Come in and say hello, Information Technology Services and OCUL Scholars Portal staff, Library Instruction, Information Commons Help

  16. ResourceBounded Information

    E-Print Network [OSTI]

    Raja, Anita

    Query Input l Word processing package for aMac. l $200 price limit. l Search process should take 10 min Features l Active search and discovery. l Resource Bounded Reasoning. l Goal­driven and) C (75% 6) (25% 4) enables Subtask Relation Enables NLE Q = Quality D = Duration C = Cost Task

  17. Groundwater Everybody's Resource

    E-Print Network [OSTI]

    Groundwater Everybody's Resource Everybody's Responsibility Take Action Now! Michigan Groundwater Stewardship Program Check Inside I Water Cycle . . . . . . . 2 I Groundwater Quiz . . 3 I Risky Practice/ Safe for the benefit of people today and tomorrow. Groundwater is the water that fills spaces between rocks and soil

  18. Toward a Data Scalable Solution for Facilitating Discovery of Science Resources

    SciTech Connect (OSTI)

    Weaver, Jesse R.; Castellana, Vito G.; Morari, Alessandro; Tumeo, Antonino; Purohit, Sumit; Chappell, Alan R.; Haglin, David J.; Villa, Oreste; Choudhury, Sutanay; Schuchardt, Karen L.; Feo, John T.

    2014-12-31

    Science is increasingly motivated by the need to process larger quantities of data. It is facing severe challenges in data collection, management, and processing, so much so that the computational demands of “data scaling” are competing with, and in many fields surpassing, the traditional objective of decreasing processing time. Example domains with large datasets include astronomy, biology, genomics, climate/weather, and material sciences. This paper presents a real-world use case in which we wish to answer queries pro- vided by domain scientists in order to facilitate discovery of relevant science resources. The problem is that the metadata for these science resources is very large and is growing quickly, rapidly increasing the need for a data scaling solution. We propose a system – SGEM – designed for answering graph-based queries over large datasets on cluster architectures, and we re- port performance results for queries on the current RDESC dataset of nearly 1.4 billion triples, and on the well-known BSBM SPARQL query benchmark.

  19. Evaluation of Global Monsoon Precipitation Changes based on Five Reanalysis Datasets

    SciTech Connect (OSTI)

    Lin, Renping; Zhou, Tianjun; Qian, Yun

    2014-02-01

    With the motivation to identify whether or not a reasonably simulated atmospheric circulation would necessarily lead to a successful reproduction of monsoon precipitation, the performances of five sets of reanalysis data (NCEP2, ERA40, JRA25, ERA-Interim and MERRA) in reproducing the climatology, interannual variation and long-term trend of global monsoon (GM) precipitation are comprehensively evaluated. In order to better understand the variability and long-term trend of GM precipitation, we also examined the major components of water budget, including evaporation, water vapor convergence and the change in local water vapor storage, based on five reanalysis datasets. The results show that all five reanalysis data reasonably reproduce the climatology of GM precipitation. The ERA-Interim (NCEP2) shows the highest (lowest) skill among the five datasets. The observed GM precipitation shows an increasing tendency during 1979-2001 along with a strong interannual variability, which is reasonably reproduced by the five sets of reanalysis data. The observed increasing trend of GM precipitation is dominated by the contribution from the North African, North American and Australian monsoons. All five data fail in reproducing the increasing tendency of North African monsoon precipitation. The wind convergence term in water budget equation dominate the GM precipitation variation, indicating a consistency between the GM precipitation and the seasonal change of prevailing wind.

  20. Geothermal resources of Montana

    SciTech Connect (OSTI)

    Metesh, J.

    1994-06-01

    The Montana Bureau of Mines and Geology has updated its inventory of low and moderate temperature resources for the state and has assisted the Oregon Institute of Technology - GeoHeat Center and the University of Utah Research Institute in prioritizing and collocating important geothermal resource areas. The database compiled for this assessment contains information on location, flow, water chemistry, and estimated reservoir temperatures for 267 geothermal well and springs in Montana. For this assessment, the minimum temperature for low-temperature resource is defined as 10{degree} C above the mean annual air temperature at the surface. The maximum temperature for a moderate-temperature resource is defined as greater than 50{degree} C. Approximately 12% of the wells and springs in the database have temperatures above 50{degree} C, 17% are between 30{degree} and 50{degree} C, 29% are between 20{degree} and 30{degree}C, and 42% are between 10{degree} and 20{degree} C. Low and moderate temperature wells and springs can be found in nearly all areas of Montana, but most are in the western third of the state. Information sources for the current database include the MBMG Ground Water Information Center, the USGS statewide database, the USGS GEOTHERM database, and new information collected as part of this program. Five areas of Montana were identified for consideration in future investigations of geothermal development. The areas identified are those near Bozeman, Ennis, Butte, Boulder, and Camas Prairie. These areas were chosen based on the potential of the resource and its proximity to population centers.

  1. Valuation of ecological resources

    SciTech Connect (OSTI)

    Scott, M.J.; Bilyard, G.R.; Link, S.O.; Ricci, P.F.; Seely, H.E.; Ulibarri, C.A.; Westerdahl, H.E.

    1995-04-01

    Ecological resources are resources that have functional value to ecosystems. Frequently, these functions are overlooked in terms of the value they provide to humans. Environmental economics is in search of an appropriate analysis framework for such resources. In such a framework, it is essential to distinguish between two related subsets of information: (1) ecological processes that have intrinsic value to natural ecosystems; and (2) ecological functions that are values by humans. The present study addresses these concerns by identifying a habitat that is being displaced by development, and by measuring the human and ecological values associated with the ecological resources in that habitat. It is also essential to determine which functions are mutually exclusive and which are, in effect, complementary or products of joint production. The authors apply several resource valuation tools, including contingent valuation methodology (CVM), travel cost methodology (TCM), and hedonic damage-pricing (HDP). One way to derive upper-limit values for more difficult-to-value functions is through the use of human analogs, because human-engineered systems are relatively inefficient at supplying the desired services when compared with natural systems. Where data on the relative efficiencies of natural systems and human analogs exist, it is possible to adjust the costs of providing the human analog by the relative efficiency of the natural system to obtain a more realistic value of the function under consideration. The authors demonstrate this approach in an environmental economic case study of the environmental services rendered by shrub-steppe habitats of Benton County, Washington State.

  2. The significance of local water resources captured in small reservoirs for crop production A global-scale analysis

    E-Print Network [OSTI]

    Douglas, Ellen M.

    modelling Food security Crop yield s u m m a r y Rainwater harvesting, broadly defined as the collection significance, rainwater harvesting in small reser- voirs has previously been overlooked in large data and other physical datasets to explore the potential role of small, localized rainwater harvesting

  3. Accounting for species taxonomy improves distribution models Aidin Niamir a

    E-Print Network [OSTI]

    models, multispecies models, species distribution models Abstract: The use of species atlas data of species distribution models. Using atlas data, two taxonomically enhanced datasets were created for 356. Enhancement of atlas data by excluding irrelevant absences based on species taxonomy significantly improved

  4. Water Resources Milind Sohoni

    E-Print Network [OSTI]

    Sohoni, Milind

    TD 603 Water Resources Milind Sohoni www.cse.iitb.ac.in/sohoni/ Lecture 3: Watershed and Maps () July 23, 2013 1 / 18 #12;Domain Decomposition p1 p2 p3 p5 p4 surface water A1 A2 A3 A4 A5 salinity ingress water table q W(q) W(p2) The watershed W (x) of a point x is W (x) = {all points y from where

  5. Lignocellulosic feedstock resource assessment

    SciTech Connect (OSTI)

    Rooney, T.

    1998-09-01

    This report provides overall state and national information on the quantity, availability, and costs of current and potential feedstocks for ethanol production in the United States. It characterizes end uses and physical characteristics of feedstocks, and presents relevant information that affects the economic and technical feasibility of ethanol production from these feedstocks. The data can help researchers focus ethanol conversion research efforts on feedstocks that are compatible with the resource base.

  6. Office of Information Resources

    Energy Savers [EERE]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on DeliciousMathematics AndBeryllium Disease | DepartmentOLED Stakeholder MeetingWeatherizationFreedom of

  7. Response Resources Demonstration

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious RankADVANCED MANUFACTURINGEnergy BillsNo. 195 - Oct.7,Breakout Sessions Notes andRespondRESPONDING

  8. Evaluating New Hydropower Resources

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE:FinancingPetroleum12, 2015 InfographiclighbulbsDepartmentDeveloping new measures forand

  9. Evaluating New Hydropower Resources

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE:FinancingPetroleum12, 2015 InfographiclighbulbsDepartmentDeveloping new measures forandpotential

  10. Office of Information Resources

    Energy Savers [EERE]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on DeliciousMathematicsEnergyInterested Parties -DepartmentAvailableHighOffice of Indian Energy Policy andSubpart

  11. General Resources - Hanford Site

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home Room NewsInformation Current HABFESOpportunities Nuclearlong

  12. Resources | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE: Alternative Fuels Data CenterFinancialInvesting inServicesRecovery ActIntegration

  13. Using wastes as resources

    SciTech Connect (OSTI)

    Prakasam, T.B.S.; Lue-Hing, C. )

    1992-09-01

    The collection, treatment, and disposal of domestic and industrial wastewater, garbage, and other wastes present considerable problems in urban and semiurban areas of developing countries. Major benefits of using integrated treatment and resource recovery systems include waste stabilization, recovering energy as biogas, producing food from algae and fish, irrigation, improved public health, and aquatic weed control and use. Information and research are needed, however, to assesss the appropriateness, benefits, and limitations of such technology on a large scale. System configuration depends on the types and quantities of wastes available for processing. There must be enough collectable waste for the system to be viable. Information should be gathered to asses whether there is a net public health benefit by implementing a waste treatment and resource recovery system. Benefits such as savings in medical expenses and increased worker productivity due to improved health may be difficult to quantify. The potential health risks created by implementing a resource recovery system should be studied. The most difficult issues to contend with are socioeconomic in nature. Often, the poor performance of a proven technology is attributed to a lack of proper understanding of its principles by the operators, lack of community interest, improper operator training, and poor management. Public education to motivate people to accept technologies that are beneficial to them is important.

  14. A Java Middleware Platform for Resource-Aware Distributed Applications

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    A Java Middleware Platform for Resource-Aware Distributed Applications Frédéric Guidec, Yves Mahéo.Guidec|Yves.Maheo|Luc.Courtrai}@univ-ubs.fr Abstract This paper reports the development of D-RAJE (Dis- tributed Resource-Aware Java Environment), a Java-based middleware platform that makes it possible to model and to monitor resources

  15. Monaco: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    Datasets Monaco is a country in Europe. External Links Monaco Renewable Energy Data from IEA Monaco Contacts from Climate-Eval LowCarbonWorld Profile for Monaco Retrieved from...

  16. Protection of the Groundwater Resource

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

    Protection of the Groundwater Resource Protection of the Groundwater Resource Monitoring wells act as sentinels between suspected LANL contamination and the water supply. August 1,...

  17. Fact #849: December 1, 2014 Midsize Hybrid Cars Averaged 51% Better Fuel Economy than Midsize Non-Hybrid Cars in 2014- Dataset

    Broader source: Energy.gov [DOE]

    Excel file with dataset for Fact #849: December 1, 2014 Midsize Hybrid Cars Averaged 51% Better Fuel Economy than Midsize Non-Hybrid Cars in 2014

  18. Fact #852 December 22, 2014 Turbocharged Engines Account for 64.7% of all Four-Cylinder Gasoline Car Engines in 2014- Dataset

    Broader source: Energy.gov [DOE]

    Excel file with dataset for Fact #852 December 22, 2014 Turbocharged Engines Account for 64.7% of all Four-Cylinder Gasoline Car Engines in 2014

  19. Fact #832: August 4, 2014 Over Half of the Refueling Stations in the U.S. and Canada Sell Diesel Fuel- Dataset

    Broader source: Energy.gov [DOE]

    Excel file with dataset for Fact #832: Over Half of the Refueling Stations in the U.S. and Canada Sell Diesel Fuel

  20. Neutron-g Pulse Shape Discrimination with NE213 Liquid Scintillator: Comparison of Different Sampling Rate/Bit Resolution Digital Acquisition Systems Datasets

    E-Print Network [OSTI]

    Neutron-g Pulse Shape Discrimination with NE213 Liquid Scintillator: Comparison of Different Sampling Rate/Bit Resolution Digital Acquisition Systems Datasets

  1. Low-altitude remote sensing dataset of DEM and RGB mosaic for AB corridor on July 13 2013 and L2 corridor on July 21 2013

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

    Baptiste Dafflon

    Low-altitude remote sensing dataset including DEM and RGB mosaic for AB (July 13 2013) and L2 corridor (July 21 2013)

  2. Low-altitude remote sensing dataset of DEM and RGB mosaic for AB corridor on July 13 2013 and L2 corridor on July 21 2013

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

    Baptiste Dafflon

    2015-04-07

    Low-altitude remote sensing dataset including DEM and RGB mosaic for AB (July 13 2013) and L2 corridor (July 21 2013)

  3. Fact #848: November 24, 2014 Nearly Three-Fourths of New Cars have Fuel Economy above 25 Miles per Gallon- Dataset

    Broader source: Energy.gov [DOE]

    Excel file with dataset for Fact #848: November 24, 2014 Nearly Three-Fourths of New Cars have Fuel Economy above 25 Miles per Gallon

  4. Contributions of Renewable Energy Resources to Re-source Diversity

    E-Print Network [OSTI]

    Gross, George

    1 Contributions of Renewable Energy Resources to Re- source Diversity George Gross, Fellow, IEEE Abstract This is a summary of the presentation on the panel entitled "Energy Resource Flexibility and Di, Resource Diversity, Resource Economics, Energy security, Inte- gration and Interconnection of Distributed

  5. Biomass Resource Allocation among Competing End Uses

    SciTech Connect (OSTI)

    Newes, E.; Bush, B.; Inman, D.; Lin, Y.; Mai, T.; Martinez, A.; Mulcahy, D.; Short, W.; Simpkins, T.; Uriarte, C.; Peck, C.

    2012-05-01

    The Biomass Scenario Model (BSM) is a system dynamics model developed by the U.S. Department of Energy as a tool to better understand the interaction of complex policies and their potential effects on the biofuels industry in the United States. However, it does not currently have the capability to account for allocation of biomass resources among the various end uses, which limits its utilization in analysis of policies that target biomass uses outside the biofuels industry. This report provides a more holistic understanding of the dynamics surrounding the allocation of biomass among uses that include traditional use, wood pellet exports, bio-based products and bioproducts, biopower, and biofuels by (1) highlighting the methods used in existing models' treatments of competition for biomass resources; (2) identifying coverage and gaps in industry data regarding the competing end uses; and (3) exploring options for developing models of biomass allocation that could be integrated with the BSM to actively exchange and incorporate relevant information.

  6. Idaho Water Resources Research Institute Annual Technical Report

    E-Print Network [OSTI]

    and Management Model for the Eastern Snake River Plain Basic Information Title: Developing a Conjunctive Water Resources Planning and Management Model for the Eastern Snake River Plain Project Number: 2012ID178B Start., Tracy, J. 2012. System Dynamics to Sustainable Water Resources Management in the Eastern Snake Plain

  7. Quantifying Quantum Resource Sharing

    E-Print Network [OSTI]

    Xiao-Feng Qian; Miguel A. Alonso; J. H. Eberly

    2015-11-13

    Entanglement is a key resource of quantum science for tasks that require it to be shared among participants. Within atomic, condensed matter and photonic many-body systems the distribution and sharing of entanglement is of particular importance for information processing by progressively larger and larger quantum networks. Here we report a singly-bipartitioned qubit entanglement inequality that applies to any N-party qubit pure state and is completely tight. It provides the first prescription for a direct calculation of the amount of entanglement sharing that is possible among N qubit parties. A geometric representation of the measure is easily visualized via polytopes within entanglement hypercubes.

  8. Utilize Available Resources

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home RoomPreservationBio-Inspired SolarAbout /Two0 -Using supercritical carbon dioxide as aGraphsUtilize

  9. Contacts & Resources

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home Room News PublicationsAuditsClusterInformation AdministrationContact Us -Contacts Contact

  10. WINDExchange: Information Resources

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of NaturalDukeWakefieldSulfateSciTechtail.Theory ofDidDevelopmentat LENA|UpcomingVisit Us

  11. Office of Information Resources

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustmentsShirleyEnergy AEnergy Managing853926 NewsORMAT NEVADAEnergyA chart EMIndianEnergyBureau of

  12. Office of Information Resources

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustmentsShirleyEnergy AEnergy Managing853926 NewsORMAT NEVADAEnergyA chart EMIndianEnergyBureau

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustmentsShirleyEnergy AEnergy Managing853926 NewsORMAT NEVADAEnergyA chart EMIndianEnergyBureauand

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustmentsShirleyEnergy AEnergy Managing853926 NewsORMAT NEVADAEnergyA chart EMIndianEnergyBureauand

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    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustmentsShirleyEnergy AEnergy Managing853926 NewsORMAT NEVADAEnergyA chart

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustmentsShirleyEnergy AEnergy Managing853926 NewsORMAT NEVADAEnergyA chart Billing System Bureau:

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustmentsShirleyEnergy AEnergy Managing853926 NewsORMAT NEVADAEnergyA chart Billing System Bureau:m ~ a

  18. Office of Information Resources

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    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustmentsShirleyEnergy AEnergy Managing853926 NewsORMAT NEVADAEnergyA chart Billing System Bureau:m ~

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    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustmentsShirleyEnergy AEnergy Managing853926 NewsORMAT NEVADAEnergyA chart Billing System Bureau:m

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustmentsShirleyEnergy AEnergy Managing853926 NewsORMAT NEVADAEnergyA chart Billing System