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)

    iteration by iteration. RevSim is an Excel 2010 based model. Much of the logic is VBA code (Visual Basic for Applications); the user does not need to know VBA to run the...

  2. Models and Datasets

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

    iteration by iteration. RevSim is an Excel 2010 based model. Much of the logic is VBA code (Visual Basic for Applications); the user does not need to know VBA to run the...

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

    Open Energy Info (EERE)

    high resolution wind resource datasets modeled for specific countries with low resolution data originating from the National Centers for Environmental Prediction (United States)...

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

    Open Energy Info (EERE)

    Solar Resources by Class and Country These estimates are derived from the best available solar resource data available to NREL. Resources are organized by class and country....

  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. 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,...

  8. Climate Model Datasets on Earth System Grid II (ESG II)

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

    Earth System Grid (ESG) is a project that combines the power and capacity of supercomputers, sophisticated analysis servers, and datasets on the scale of petabytes. The goal is to provide a seamless distributed environment that allows scientists in many locations to work with large-scale data, perform climate change modeling and simulation,and share results in innovative ways. Though ESG is more about the computing environment than the data, still there are several catalogs of data available at the web site that can be browsed or search. Most of the datasets are restricted to registered users, but several are open to any access.

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

    Office of Scientific and Technical Information (OSTI)

    (Dataset) | Data Explorer Data Explorer Search Results Dataset used to improve liquid water absorption models in the microwave Title: Dataset used to improve liquid water absorption models in the microwave 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

  10. 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.

  11. 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.

  12. ARM Climate Modeling Best Estimate Lamont, OK (ARMBE-ATM SGPC1) (Dataset) |

    Office of Scientific and Technical Information (OSTI)

    Data Explorer Lamont, OK (ARMBE-ATM SGPC1) Title: ARM Climate Modeling Best Estimate Lamont, OK (ARMBE-ATM SGPC1) The ARM CMBE-ATM [Xie, McCoy, Klein et al.] data file contains a best estimate of several selected atmospheric quantities from ACRF observations and NWP analysis data. Authors: McCoy, Renata ; Xie, Shaocheng Publication Date: 2013-12-26 OSTI Identifier: 1111533 DOE Contract Number: DE-AC05-00OR22725 Resource Type: Dataset Data Type: Numeric Data Research Org: Atmospheric

  13. ARM Climate Modeling Best Estimate Lamont, OK (ARMBE-ATM SGPC1) (Dataset) |

    Office of Scientific and Technical Information (OSTI)

    Data Explorer Lamont, OK (ARMBE-ATM SGPC1) Title: ARM Climate Modeling Best Estimate Lamont, OK (ARMBE-ATM SGPC1) The ARM CMBE-ATM [Xie, McCoy, Klein et al.] data file contains a best estimate of several selected atmospheric quantities from ACRF observations and NWP analysis data. Authors: McCoy, Renata ; Xie, Shaocheng Publication Date: 2013-12-26 OSTI Identifier: 1111538 DOE Contract Number: DE-AC05-00OR22725 Resource Type: Dataset Data Type: Numeric Data Research Org: Atmospheric

  14. 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.

  15. 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.

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

    SciTech Connect (OSTI)

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

    2001-08-01

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

  17. 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.

  18. Hydrogen Demand and Resource Analysis (HyDRA) Model

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

    users to view, download, and analyze hydrogen demand, resource, and infrastructure ... HyDRA contains more than 100 datasets, including resource cost and availability, hydrogen ...

  19. National Strategic Unconventional Resource Model

    Broader source: Energy.gov [DOE]

    This is the second revision to the National Strategic Unconventional Resources Model that was developed in 2005-2006 to support the Task Force mandated by Congress in subsection 369(h) of the...

  20. Development of Regional Wind Resource and Wind Plant Output Datasets. Final Subcontract Report, 15 October 2007 - 15 March 2009

    SciTech Connect (OSTI)

    Lew, Debra

    2010-03-01

    This report describes the development of the necessary and needed wind and solar datasets used in the Western Wind and Solar Integration Study (WWSIS).

  1. 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.

  2. Modeling renewable energy resources in integrated resource planning

    SciTech Connect (OSTI)

    Logan, D.; Neil, C.; Taylor, A.

    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.

  3. 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.

  4. 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

  5. NREL: Renewable Resource Data Center - Geothermal Resource Models and Tools

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

    Models and Tools The Renewable Resource Data Center (RReDC) features the following geothermal models and tools. Geothermal Prospector The Geothermal Prospector tool provides the information needed to allow users to determine locations that are favorable to geothermal energy development. List of software and models from other National Laboratories and Centers

  6. State Energy Program: Kentucky Implementation Model Resources

    Broader source: Energy.gov [DOE]

    Below are resources associated with the U.S. Department of Energy's Weatherization and Intergovernmental Programs Office State Energy Program Kentucky Implementation Model.

  7. Taxonomy for Modeling Demand Response Resources

    SciTech Connect (OSTI)

    Olsen, Daniel; Kiliccote, Sila; Sohn, Michael; Dunn, Laura; Piette, Mary, A

    2014-08-01

    Demand response resources are an important component of modern grid management strategies. Accurate characterizations of DR resources are needed to develop systems of optimally managed grid operations and to plan future investments in generation, transmission, and distribution. The DOE Demand Response and Energy Storage Integration Study (DRESIS) project researched the degree to which demand response (DR) and energy storage can provide grid flexibility and stability in the Western Interconnection. In this work, DR resources were integrated with traditional generators in grid forecasting tools, specifically a production cost model of the Western Interconnection. As part of this study, LBNL developed a modeling framework for characterizing resource availability and response attributes of DR resources consistent with the governing architecture of the simulation modeling platform. In this report, we identify and describe the following response attributes required to accurately characterize DR resources: allowable response frequency, maximum response duration, minimum time needed to achieve load changes, necessary pre- or re-charging of integrated energy storage, costs of enablement, magnitude of controlled resources, and alignment of availability. We describe a framework for modeling these response attributes, and apply this framework to characterize 13 DR resources including residential, commercial, and industrial end-uses. We group these end-uses into three broad categories based on their response capabilities, and define a taxonomy for classifying DR resources within these categories. The three categories of resources exhibit different capabilities and differ in value to the grid. Results from the production cost model of the Western Interconnection illustrate that minor differences in resource attributes can have significant impact on grid utilization of DR resources. The implications of these findings will be explored in future DR valuation studies.

  8. 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

  9. 3D Model of the San Emidio Geothermal Area (Dataset) | Data Explorer

    Office of Scientific and Technical Information (OSTI)

    3D Model of the San Emidio Geothermal Area Title: 3D Model of the San Emidio Geothermal Area The San Emidio geothermal system is characterized by a left-step in a west-dipping ...

  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. Suite of Software Objects for Arbitrary Spatial Partitioning of Modeling Dataset

    Energy Science and Technology Software Center (OSTI)

    1997-04-30

    SpatialDataSet is an abstract superclass for a suite of object classes which associate data structures with specific regions (Cells) or points (PCells) in two or three-dimensional space. The data structure carried by these Cells/PCells are arbitrary in layout, but the same layout is used for every Cell/PCell within the SpatialDataSet. The SpatialDataSet objects are used within ANL''s Dynamic Information Architecture System (DIAS) to carry spatially distributed attributes of terrestrial, aquatic, and atmospheric objects in amore » simulation domain. DIAS is a flexible object based software framework for concurrent, multidisciplinary modeling. The SpatialDataSet allows access to the information carried within them without requiring knowledge of the details of the spatial partitioning of the data on the part of the requesting agent. The suite of SpatialDataSet objects can be used within object based software architectures other than DIAS. SpatialDataSet has many subclasses covering different modes of partitioning two or three dimensional space, including various forms of grids, meshes, networks, patchworks, etc.« less

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

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

    Bookmark and Share The Resource Planning Model (RPM) An image of a overlapping circles labelled Resource, Technical, Economic, and Market Potential that include the key assumptions for each segment on a bullet list inside it. Figure 1. Combined nodal and zonal structure of the Colorado-centric RPM Enlarge image The Resource Planning Model (RPM) is a capacity expansion model designed for a regional power system, such as a utility service territory, state, or balancing authority. RPM applies

  13. Distributed Energy Resources Market Diffusion Model

    SciTech Connect (OSTI)

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

    2006-06-16

    Distributed generation (DG) technologies, such as gas-fired reciprocating engines and microturbines, have been found to be economically beneficial in meeting commercial-sector electrical, heating, and cooling loads. Even though the electric-only efficiency of DG is lower than that offered by traditional central stations, combined heat and power (CHP) applications using recovered heat can make the overall system energy efficiency of distributed energy resources (DER) greater. From a policy perspective, however, it would be useful to have good estimates of penetration rates of DER under various economic and regulatory scenarios. In order to examine the extent to which DER systems may be adopted at a national level, we model the diffusion of DER in the US commercial building sector under different technical research and technology outreach scenarios. In this context, technology market diffusion is assumed to depend on the system's economic attractiveness and the developer's knowledge about the technology. The latter can be spread both by word-of-mouth and by public outreach programs. To account for regional differences in energy markets and climates, as well as the economic potential for different building types, optimal DER systems are found for several building types and regions. Technology diffusion is then predicted via two scenarios: a baseline scenario and a program scenario, in which more research improves DER performance and stronger technology outreach programs increase DER knowledge. The results depict a large and diverse market where both optimal installed capacity and profitability vary significantly across regions and building types. According to the technology diffusion model, the West region will take the lead in DER installations mainly due to high electricity prices, followed by a later adoption in the Northeast and Midwest regions. Since the DER market is in an early stage, both technology research and outreach programs have the potential to increase DER adoption, and thus, shift building energy consumption to a more efficient alternative.

  14. NERSC Resources Help Find Roots of MJO Modeling Mismatches

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

    NERSC Resources Help Find Roots of MJO Modeling Mismatches NERSC Resources Help Find Roots of MJO Modeling Mismatches April 18, 2016 MJOmodeling From Calcutta, India, to Seattle, Wash. and beyond, the MJO can bring storms and plenty of rain in wet years. PNNL researchers are using field data and NERSC supercomputers to better model how the MJO operates and understand its interaction regional weather systems around the world. Image: PNNL An Alaska-sized pulse of clouds and precipitation

  15. 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.

  16. 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.

  17. 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)

    Resource Planning Model: An Integrated Resource Planning and Dispatch Tool for Regional Electric Systems Trieu Mai, Easan Drury, Kelly Eurek, Natalie Bodington, Anthony Lopez, and Andrew Perry Technical Report NREL/TP-6A20- 56723 January 2013 NREL is a national laboratory of the U.S. Department of Energy, Office of Energy Efficiency & Renewable Energy, operated by the Alliance for Sustainable Energy, LLC. National Renewable Energy Laboratory 15013 Denver West Parkway Golden, Colorado 80401

  18. 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.

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

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

    Reference Model #1 - Tidal Energy: Resource Dr. Brian Polagye Northwest National Marine Renewable Energy Center University of Washington, Seattle, WA 1 Introduction Reference Model #1 is a tidal turbine operating in a narrow, tidal channel. The site is a generalized version of Tacoma Narrows, Puget Sound, Washington. The resource is a mixed, mainly semidiurnal tidal regime with two ebbs and floods each day of unequal strength (i.e., a diurnal inequality in which a strong ebb/flood exchange is

  20. Energy Modeling Community Resources | Department of Energy

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

    ... organized collection of minimal-requirement and best-practice guidelines for various energy modeling scenarios, such as design assistance, code compliance, and savings prediction. ...

  1. Decoupling and Utility Business Model Resources

    Broader source: Energy.gov [DOE]

    Energy efficiency measures result in decreased energy use, which may be contrary to a utility whose business model involves increasing revenue through increased energy demand.

  2. 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.

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

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

    of Energy 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 - Exploration and field development in the largest continuous oil play in the lower 48 states, located in North Dakota and eastern Montana, will be guided by new geo-models developed with funding from the Department of Energy's (DOE) Office of Fossil Energy (FE). The three-year project to develop exploration and

  4. 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.

  5. Resources

    Broader source: Energy.gov [DOE]

    Case studies and additional resources on implementing renewable energy in Federal new construction and major renovations are available.

  6. Welcome - OpenEI Datasets

    Open Energy Info (EERE)

    for a topic or click on a statistic to dive into our datasets. This is a featured section Placeholder OpenEI Datasets statistics 1.1k datasets 2 organizations 0 related items...

  7. Resources

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

    Resources Resources Policies, Manuals & References Map Transportation Publications ⇒ Navigate Section Resources Policies, Manuals & References Map Transportation Publications Getting Help or Information IT Help Desk (or call x4357) Facilities Work Request Center Telephone Services Travel Site Info Laboratory Map Construction Updates Laboratory Shuttle Buses Cafeteria Menu News and Events Today at Berkeley Lab News Center Press Releases Feature Stories Videos Contact Calendar Health and

  8. BP-12 Final Models Datasets

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

    MB, XLS) Tier 2 Module of RAM RAM Tier 2 Pricing Module (4.8 MB, XLS) Tool Kit Files (TPP) ToolKit v4.8.1 BP-12 Final Studies Release 4-Aug-11 (12.5 MB, XLS) Risk Mod Output...

  9. Modeling of customer adoption of distributed energy resources

    SciTech Connect (OSTI)

    Marnay, Chris; Chard, Joseph S.; Hamachi, Kristina S.; Lipman, Timothy; Moezzi, Mithra M.; Ouaglal, Boubekeur; Siddiqui, Afzal S.

    2001-08-01

    This report describes work completed for the California Energy Commission (CEC) on the continued development and application of the Distributed Energy Resources Customer Adoption Model (DER-CAM). This work was performed at Ernest Orlando Lawrence Berkeley National Laboratory (Berkeley Lab) between July 2000 and June 2001 under the Consortium for Electric Reliability Technology Solutions (CERTS) Distributed Energy Resources Integration (DERI) project. Our research on distributed energy resources (DER) builds on the concept of the microgrid ({mu}Grid), a semiautonomous grouping of electricity-generating sources and end-use sinks that are placed and operated for the benefit of its members. Although a {mu}Grid can operate independent of the macrogrid (the utility power network), the {mu}Grid is usually interconnected, purchasing energy and ancillary services from the macrogrid. Groups of customers can be aggregated into {mu}Grids by pooling their electrical and other loads, and the most cost-effective combination of generation resources for a particular {mu}Grid can be found. In this study, DER-CAM, an economic model of customer DER adoption implemented in the General Algebraic Modeling System (GAMS) optimization software is used, to find the cost-minimizing combination of on-site generation customers (individual businesses and a {mu}Grid) in a specified test year. DER-CAM's objective is to minimize the cost of supplying electricity to a specific customer by optimizing the installation of distributed generation and the self-generation of part or all of its electricity. Currently, the model only considers electrical loads, but combined heat and power (CHP) analysis capability is being developed under the second year of CEC funding. The key accomplishments of this year's work were the acquisition of increasingly accurate data on DER technologies, including the development of methods for forecasting cost reductions for these technologies, and the creation of a credible example California {mu}Grid for use in this study and in future work. The work performed during this year demonstrates the viability of DER-CAM and of our approach to analyzing adoption of DER.

  10. Vaisala CL51 ceilometer (Dataset) | Data Explorer

    Office of Scientific and Technical Information (OSTI)

    Vaisala CL51 ceilometer Title: Vaisala CL51 ceilometer Vaisala CL51 ceilometer providing attenuated backscatter coefficients and cloud base heights. Authors: Ewan OConnor Publication Date: 2015-04-01 OSTI Identifier: 1177195 DOE Contract Number: DE-AC05-00OR22725 Resource Type: Dataset Data Type: Numeric Data Research Org: Atmospheric Radiation Measurement (ARM) Archive, Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (US); Sponsoring Org: USDOE Office of Science (SC), Biological and

  11. aoscaps3w (Dataset) | Data Explorer

    Office of Scientific and Technical Information (OSTI)

    aoscaps3w Title: aoscaps3w The 3-wavelength CAPS-PMex Instrument (Cavity Attenuated Phase Shift Extinction Monitor) measures optical extinctions for the following wavelengths: 'Red' - 632 nm; 'Green' - 532 nm; 'Blue' - 450 nm. Authors: Sedlacek, Arthur ; Tilp, Alison Publication Date: 2016-05-31 OSTI Identifier: 1249183 DOE Contract Number: DE-AC05-00OR22725 Resource Type: Dataset Data Type: Numeric Data Research Org: Atmospheric Radiation Measurement (ARM) Archive, Oak Ridge National Laboratory

  12. 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.

  13. ISDAC Microphysics (Dataset) | Data Explorer

    Office of Scientific and Technical Information (OSTI)

    Sponsoring Org: USDOE Office of Science (SC), Biological and Environmental Research (BER) ... Total cloud water; Indirect and Semi-Direct Aerosol Campaign (ISDAC) Dataset File ...

  14. 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.

  15. 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; Hanson, Paul J; DeKauwe, Martin G; Medlyn, Belinda; Zaehle, S; Asao, Shinichi; Dietze, Michael; Hickler, Thomas; Huntinford, Chris; Iversen, Colleen M; Jain, Atul; Lomas, Mark; Luo, Yiqi; McCarthy, Heather R; Parton, William; Prentice, I. Collin; Thornton, Peter E; Wang, Shusen; Wang, Yingping; Warlind, David; Weng, Ensheng; Warren, Jeffrey; Woodward, F. Ian; Oren, Ram; Norby, Richard J

    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.

  16. Overview and Meteorological Validation of the Wind Integration National Dataset toolkit

    SciTech Connect (OSTI)

    Draxl, C.; Hodge, B. M.; Clifton, A.; McCaa, J.

    2015-04-13

    The Wind Integration National Dataset (WIND) Toolkit described in this report fulfills these requirements, and constitutes a state-of-the-art national wind resource data set covering the contiguous United States from 2007 to 2013 for use in a variety of next-generation wind integration analyses and wind power planning. The toolkit is a wind resource data set, wind forecast data set, and wind power production and forecast data set derived from the Weather Research and Forecasting (WRF) numerical weather prediction model. WIND Toolkit data are available online for over 116,000 land-based and 10,000 offshore sites representing existing and potential wind facilities.

  17. 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.

  18. 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 individuals 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.

  19. 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 individualsÆ 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.

  20. NREL: Transmission Grid Integration - Wind Integration Datasets

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

    Wind Integration Datasets The datasets below provide energy professionals with a consistent set of wind profiles for the United States. Eastern and Western Wind Datasets The Eastern and Western Wind Datasets provide 10-minute time-series wind data for 2004, 2005, and 2006. These datasets were designed to help energy professionals perform wind integration studies and estimate power production from hypothetical wind plants. For the Eastern dataset, more than 1,326 simulated wind plant data points

  1. Modeling of thermal storage systems in MILP distributed energy resource models

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

    Steen, David; Stadler, Michael; Cardoso, Gonçalo; Groissböck, Markus; DeForest, Nicholas; Marnay, Chris

    2014-08-04

    Thermal energy storage (TES) and distributed generation technologies, such as combined heat and power (CHP) or photovoltaics (PV), can be used to reduce energy costs and decrease CO2 emissions from buildings by shifting energy consumption to times with less emissions and/or lower energy prices. To determine the feasibility of investing in TES in combination with other distributed energy resources (DER), mixed integer linear programming (MILP) can be used. Such a MILP model is the well-established Distributed Energy Resources Customer Adoption Model (DER-CAM); however, it currently uses only a simplified TES model to guarantee linearity and short run-times. Loss calculations aremore » based only on the energy contained in the storage. This paper presents a new DER-CAM TES model that allows improved tracking of losses based on ambient and storage temperatures, and compares results with the previous version. A multi-layer TES model is introduced that retains linearity and avoids creating an endogenous optimization problem. The improved model increases the accuracy of the estimated storage losses and enables use of heat pumps for low temperature storage charging. Ultimately,results indicate that the previous model overestimates the attractiveness of TES investments for cases without possibility to invest in heat pumps and underestimates it for some locations when heat pumps are allowed. Despite a variation in optimal technology selection between the two models, the objective function value stays quite stable, illustrating the complexity of optimal DER sizing problems in buildings and microgrids.« less

  2. NREL: Transmission Grid Integration - Data and Resources

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

    Data and Resources NREL offers the following transmission integration-related data and resources. Wind Integration Datasets The Wind Integration Datasets provide energy professionals with a consistent set of wind profiles for the United States. These include the Eastern Wind Dataset, Western Wind Dataset, and Wind Integration National Dataset (WIND) Toolkit. Solar Power Data for Integration Studies The Solar Power Data for Integration Studies consist of one year (2006) of 5-minute solar power

  3. Fluxnet Synthesis Dataset Collaboration Infrastructure

    SciTech Connect (OSTI)

    Agarwal, Deborah A.; Humphrey, Marty; van Ingen, Catharine; Beekwilder, Norm; Goode, Monte; Jackson, Keith; Rodriguez, Matt; Weber, Robin

    2008-02-06

    The Fluxnet synthesis dataset originally compiled for the La Thuile workshop contained approximately 600 site years. Since the workshop, several additional site years have been added and the dataset now contains over 920 site years from over 240 sites. A data refresh update is expected to increase those numbers in the next few months. The ancillary data describing the sites continues to evolve as well. There are on the order of 120 site contacts and 60proposals have been approved to use thedata. These proposals involve around 120 researchers. The size and complexity of the dataset and collaboration has led to a new approach to providing access to the data and collaboration support and the support team attended the workshop and worked closely with the attendees and the Fluxnet project office to define the requirements for the support infrastructure. As a result of this effort, a new website (http://www.fluxdata.org) has been created to provide access to the Fluxnet synthesis dataset. This new web site is based on a scientific data server which enables browsing of the data on-line, data download, and version tracking. We leverage database and data analysis tools such as OLAP data cubes and web reports to enable browser and Excel pivot table access to the data.

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

    Open Energy Info (EERE)

    After initial access was obtained in 2004, RJV conducted MT surveys and completed risk assessments based on a range of conceptual models that supported relatively...

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

    Broader source: Energy.gov [DOE]

    Oregon State University graduate students use computer clusters to work with National Energy Technology Laboratory scientists to develop models for new energy technologies.

  6. Large scale validation of the M5L lung CAD on heterogeneous CT datasets

    SciTech Connect (OSTI)

    Lopez Torres, E. E-mail: cerello@to.infn.it; Fiorina, E.; Pennazio, F.; Peroni, C.; Saletta, M.; Cerello, P. E-mail: cerello@to.infn.it; Camarlinghi, N.; Fantacci, M. E.

    2015-04-15

    Purpose: M5L, a fully automated computer-aided detection (CAD) system for the detection and segmentation of lung nodules in thoracic computed tomography (CT), is presented and validated on several image datasets. Methods: M5L is the combination of two independent subsystems, based on the Channeler Ant Model as a segmentation tool [lung channeler ant model (lungCAM)] and on the voxel-based neural approach. The lungCAM was upgraded with a scan equalization module and a new procedure to recover the nodules connected to other lung structures; its classification module, which makes use of a feed-forward neural network, is based of a small number of features (13), so as to minimize the risk of lacking generalization, which could be possible given the large difference between the size of the training and testing datasets, which contain 94 and 1019 CTs, respectively. The lungCAM (standalone) and M5L (combined) performance was extensively tested on 1043 CT scans from three independent datasets, including a detailed analysis of the full Lung Image Database Consortium/Image Database Resource Initiative database, which is not yet found in literature. Results: The lungCAM and M5L performance is consistent across the databases, with a sensitivity of about 70% and 80%, respectively, at eight false positive findings per scan, despite the variable annotation criteria and acquisition and reconstruction conditions. A reduced sensitivity is found for subtle nodules and ground glass opacities (GGO) structures. A comparison with other CAD systems is also presented. Conclusions: The M5L performance on a large and heterogeneous dataset is stable and satisfactory, although the development of a dedicated module for GGOs detection could further improve it, as well as an iterative optimization of the training procedure. The main aim of the present study was accomplished: M5L results do not deteriorate when increasing the dataset size, making it a candidate for supporting radiologists on large scale screenings and clinical programs.

  7. 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.

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

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

    Toolkit Integration National Dataset Toolkit The Solar Integration National Dataset (SIND) Toolkit enables researchers to perform regional solar generation integration studies by providing modeled, coherent sub-hour solar power data, information, and tools. Sub-hour solar power data are used in the Western Wind and Solar Integration Study Phase 2 and the Eastern Renewable Generation Integration Study. Graph of global horizontal irradiance for July 7, 2008. Over the course of the day,

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

    Open Energy Info (EERE)

    a file-level view of datasets. Go back to Datasets Listing About us Disclaimers Energy blogs Linked Data Developer services OpenEI partners with a broad range of international...

  10. 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.

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

    Office of Scientific and Technical Information (OSTI)

    Connect Dataset: 3D Covalent Organic Framework Materials database Citation Details In-Document Search Title: 3D Covalent Organic Framework Materials database Authors: Haranczyk, Maciej [1] + Show Author Affiliations Lawrence Berkeley National Laboratory Publication Date: 2014-09-11 OSTI Identifier: 1155071 Report Number(s): 1 DOE Contract Number: AC02-05CH11231 Resource Type: Dataset Data Type: Numeric Data Resource Relation: Related Information: R.L. Martin et al Journal of Physical

  12. 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.

  13. Combined Retrieval, Microphysical Retrievals and Heating Rates (Dataset) |

    Office of Scientific and Technical Information (OSTI)

    Data Explorer Data Explorer Search Results Combined Retrieval, Microphysical Retrievals and Heating Rates Title: Combined Retrieval, Microphysical Retrievals and Heating Rates Microphysical retrievals and heating rates from the AMIE/Gan deployment using the PNNL Combined Retrieval. Authors: Feng, Zhe Publication Date: 2013-02-22 OSTI Identifier: 1169498 DOE Contract Number: DE-AC05-00OR22725 Resource Type: Dataset Data Type: Numeric Data Research Org: Atmospheric Radiation Measurement (ARM)

  14. ARM: AOS Humidified Tandem Differential Mobility Analyzer (Dataset) | Data

    Office of Scientific and Technical Information (OSTI)

    Explorer Data Explorer Search Results ARM: AOS Humidified Tandem Differential Mobility Analyzer Title: ARM: AOS Humidified Tandem Differential Mobility Analyzer AOS Humidified Tandem Differential Mobility Analyzer Authors: Scott Smith ; Cynthia Salwen ; Janek Uin ; Alice Cialella ; Gunnar Senum ; Stephen Springston Publication Date: 2012-11-16 OSTI Identifier: 1095581 DOE Contract Number: DE-AC05-00OR22725 Resource Type: Dataset Data Type: Numeric Data Research Org: Atmospheric Radiation

  15. ARM: ARM-standard Meteorological Instrumentation, Marine (Dataset) | Data

    Office of Scientific and Technical Information (OSTI)

    Explorer ARM-standard Meteorological Instrumentation, Marine Title: ARM: ARM-standard Meteorological Instrumentation, Marine ARM-standard Meteorological Instrumentation, Marine Authors: Donna Holdridge ; Jenni Kyrouac Publication Date: 2012-10-05 OSTI Identifier: 1095605 DOE Contract Number: DE-AC05-00OR22725 Resource Type: Dataset Data Type: Numeric Data Research Org: Atmospheric Radiation Measurement (ARM) Archive, Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (US); Sponsoring Org:

  16. 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.

  17. Nepal-DLR Resource Assessments | Open Energy Information

    Open Energy Info (EERE)

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

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

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

    Printable Version RReDC Home Biomass Resource Information Geothermal Resource Information Solar Resource Information Wind Resource Information Wind Data Models & Tools Publications...

  19. Grapevine, Texas: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    Apps Datasets Community Login | Sign Up Search Page Edit with form History Grapevine, Texas: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates...

  20. Plano, Texas: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    Help Apps Datasets Community Login | Sign Up Search Page Edit with form History Plano, Texas: Energy Resources (Redirected from Plano, TX) Jump to: navigation, search Equivalent...

  1. Arlington, Texas: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    Apps Datasets Community Login | Sign Up Search Page Edit with form History Arlington, Texas: Energy Resources (Redirected from Arlington, TX) Jump to: navigation, search...

  2. Frisco, Texas: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    Help Apps Datasets Community Login | Sign Up Search Page Edit with form History Frisco, Texas: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates...

  3. Plano, Texas: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    Help Apps Datasets Community Login | Sign Up Search Page Edit with form History Plano, Texas: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates...

  4. Carrollton, Texas: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    Apps Datasets Community Login | Sign Up Search Page Edit with form History Carrollton, Texas: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates...

  5. Garland, Texas: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    Apps Datasets Community Login | Sign Up Search Page Edit with form History Garland, Texas: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates...

  6. 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...

  7. dataset | OpenEI Community

    Open Energy Info (EERE)

    data load data load profile OpenEI residential load TMY3 United States Load data Image source: NREL Files: applicationzip icon System Advisor Model Tool for Downloading Load Data...

  8. datasets | OpenEI Community

    Open Energy Info (EERE)

    data load data load profile OpenEI residential load TMY3 United States Load data Image source: NREL Files: applicationzip icon System Advisor Model Tool for Downloading Load Data...

  9. NREL: Renewable Resource Data Center - Geothermal Resource Data

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

    Resource Data The following geothermal resource data collections can be found in the Renewable Resource Data Center (RReDC). Geothermal Resource Data The datasets on this page offer a qualitative assessment of geothermal potential for the U.S. using Enhanced Geothermal Systems (EGS) and based on the levelized cost of electricity, and the Texas Geopressured Geothermal Resource Estimate. Geothermal data sites Data related to geothermal technology and energy

  10. System Advisor Model (SAM) | Open Energy Information

    Open Energy Info (EERE)

    Resource assessment Resource Type: Case studiesexamples, Dataset, Guidemanual, Training materials, Softwaremodeling tools, Video User Interface: Desktop Application...

  11. The Biosurveillance Analytics Resource Directory (BARD): Facilitating the use of epidemiological models for infectious disease surveillance

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

    Margevicius, Kristen J.; Generous, Nicholas; Abeyta, Esteban; Althouse, Ben; Burkom, Howard; Castro, Lauren; Daughton, Ashlynn; Del Valle, Sara Y.; Fairchild, Geoffrey; Hyman, James M.; et al

    2016-01-28

    Epidemiological modeling for infectious disease is important for disease management and its routine implementation needs to be facilitated through better description of models in an operational context. A standardized model characterization process that allows selection or making manual comparisons of available models and their results is currently lacking. A key need is a universal framework to facilitate model description and understanding of its features. Los Alamos National Laboratory (LANL) has developed a comprehensive framework that can be used to characterize an infectious disease model in an operational context. The framework was developed through a consensus among a panel of subjectmore » matter experts. In this paper, we describe the framework, its application to model characterization, and the development of the Biosurveillance Analytics Resource Directory (BARD; http://brd.bsvgateway.org/brd/), to facilitate the rapid selection of operational models for specific infectious/communicable diseases. We offer this framework and associated database to stakeholders of the infectious disease modeling field as a tool for standardizing model description and facilitating the use of epidemiological models.« less

  12. 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.

  13. 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.

  14. 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.

  15. DTE Energy Technologies With Detroit Edison Co. and Kinectrics Inc.: Distributed Resources Aggregation Modeling and Field Configuration Testing

    SciTech Connect (OSTI)

    Not Available

    2003-10-01

    Summarizes the work of DTE Energy Technologies, Detroit Edison, and Kinectrics, under contract to DOE's Distribution and Interconnection R&D, to develop distributed resources aggregation modeling and field configuration testing.

  16. Large-Scale Deep Learning on the YFCC100M Dataset (Conference) | SciTech

    Office of Scientific and Technical Information (OSTI)

    Connect Conference: Large-Scale Deep Learning on the YFCC100M Dataset Citation Details In-Document Search Title: Large-Scale Deep Learning on the YFCC100M Dataset Authors: Ni, K ; Boakye, K ; Van Essen, B ; Pearce, R ; Borth, D ; Chen, B ; Wang, E Publication Date: 2014-10-01 OSTI Identifier: 1177251 Report Number(s): LLNL-CONF-661841 DOE Contract Number: DE-AC52-07NA27344 Resource Type: Conference Resource Relation: Conference: Presented at: Neural Information Processing Systems 2014,

  17. 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.

  18. I/O Resources

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

    I/O Resources I/O Resources Motivation Many users must run jobs that read datasets that are too large to transfer to the /scratch directory. When large numbers of these jobs run simultaneously, it can have an adverse affect on the performance of the disks serving the data causing your jobs to run very inefficiently. We have configured a resource in the batch system that should help manage the amount of concurrent access. These are called IO resources, and they depend on the bandwidth available

  19. 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.

  20. ARM: RPH stabilized table control data (Dataset) | Data Explorer

    Office of Scientific and Technical Information (OSTI)

    (BER) Country of Publication: United States Availability: ORNL Language: English Subject: 54 Environmental Sciences Surface condition Dataset File size NAView Dataset View ...

  1. ARM: RPH stabilized platform tilt (Dataset) | Data Explorer

    Office of Scientific and Technical Information (OSTI)

    (BER) Country of Publication: United States Availability: ORNL Language: English Subject: 54 Environmental Sciences Surface condition Dataset File size NAView Dataset View ...

  2. ARM: Ship navigational location and attitude (Dataset) | Data...

    Office of Scientific and Technical Information (OSTI)

    (BER) Country of Publication: United States Availability: ORNL Language: English Subject: 54 Environmental Sciences Surface condition Dataset File size NAView Dataset View ...

  3. ARM KAZR-ARSCL Value Added Product (Dataset) | Data Explorer

    Office of Scientific and Technical Information (OSTI)

    Country of Publication: United States Availability: ORNL Language: English Subject: 54 Environmental Sciences ARM, KAZR, ARSCL,KAZR-ARSCL Dataset File size NAView Dataset ...

  4. 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.

  5. 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.

  6. 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.

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

    SciTech Connect (OSTI)

    Adam, J. C.; Stephens, J. C.; Chung, Serena; Brady, M. P.; Evans, R. D.; Kruger, C. E.; Lamb, Brian K.; Liu, M. L.; Stockle, Claudio O.; Vaughan, Joseph K.; Rajagopalan, K.; Harrison, John; Tague, C. L.; Kalyanaraman, Anantharaman; Chen, Yong; Guenther, Alex B.; Leung, F. Y.; Leung, Lai-Yung R.; Perleberg, A. B.; Yoder, J.; Allen, Elizabeth; Anderson, S.; Chandrasekharan, B.; Malek, K.; Mullis, T.; Miller, C.; Nergui, T.; Poinsatte, J.; Reyes, J.; Zhu, J.; Choate, J. S.; Jiang, X.; Nelson, R.; Yoon, Jin-Ho; Yorgey, G. G.; Johnson, Kristen; Chinnayakanhalli, K. J.; Hamlet, A. F.; Nijssen, B.; Walden, Von

    2015-04-01

    As managers of agricultural and natural resources are confronted with uncertainties in global change impacts, the complexities associated with the interconnected cycling of nitrogen, carbon, and water present daunting management challenges. Existing models provide detailed information on specific sub-systems (land, air, water, economics, etc). An increasing awareness of the unintended consequences of management decisions resulting from interconnectedness of these sub-systems, however, necessitates coupled regional earth system models (EaSMs). Decision makers needs and priorities can be integrated into the model design and development processes to enhance decision-making relevance and "usability" of EaSMs. BioEarth is a current research initiative with a focus on the U.S. Pacific Northwest region that explores the coupling of multiple stand-alone EaSMs to generate usable information for resource decision-making. Direct engagement between model developers and non-academic stakeholders involved in resource and environmental management decisions throughout the model development process is a critical component of this effort. BioEarth utilizes a "bottom-up" approach, upscaling a catchment-scale model to basin and regional scales, as opposed to the "top-down" approach of downscaling global models utilized by most other EaSM efforts. This paper describes the BioEarth initiative and highlights opportunities and challenges associated with coupling multiple stand-alone models to generate usable information for agricultural and natural resource decision-making.

  8. Leon County, Texas: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    Apps Datasets Community Login | Sign Up Search Page Edit with form History Leon County, Texas: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates...

  9. Archer County, Texas: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

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  10. Limestone County, Texas: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

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  11. McKinney, Texas: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

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  12. Fayette County, Texas: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

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  13. Grayson County, Texas: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

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  14. Wichita County, Texas: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

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  15. Rusk County, Texas: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

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  16. Hockley County, Texas: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

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  17. Bosque County, Texas: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

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  18. Bell County, Texas: Energy Resources | Open Energy Information

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  19. Webb County, Texas: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

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  20. Lubbock County, Texas: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

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  1. Coryell County, Texas: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

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  2. Parker County, Texas: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

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  3. Randall County, Texas: Energy Resources | Open Energy Information

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  4. Upshur County, Texas: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

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  5. Lamb County, Texas: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

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  6. Cherokee County, Texas: Energy Resources | Open Energy Information

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  7. Burnet County, Texas: Energy Resources | Open Energy Information

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  8. Waller County, Texas: Energy Resources | Open Energy Information

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  9. Gregg County, Texas: Energy Resources | Open Energy Information

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  10. Texas County, Oklahoma: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

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  11. Maverick County, Texas: Energy Resources | Open Energy Information

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  12. Jones County, Texas: Energy Resources | Open Energy Information

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  13. Wise County, Texas: Energy Resources | Open Energy Information

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  14. Liberty County, Texas: Energy Resources | Open Energy Information

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  15. 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 show that it is possible to fairly accurately simulate lake effects and water budget variables over a wide range of dry and wet cycles in the historical record. The Lake Tahoe basin is representative of the hydrology, topography and climate throughout the Sierra Nevada Range, and the entire model development is prototypical of the efforts required to replicate the decision support framework to other locales. The Lake Tahoe model in particular, could allow water managers to evaluate more accurately components of the water budget (ET, runoff, groundwater, etc) and to answer important questions regarding water resources in northern Nevada. This report discusses the geographic scale and the hydrologic complexity of the calibrated model developed as part of this project, as well as simulation results for historical and future climate projects To enable human-driven data exploration and discovery, de novo software for a globalized rendering module that extends the capability of our evolving custom visualization engine from Phase I (called SMEngine) has been developed. The new rendering component, called Horizon, supports terrain rendering capable of displaying and interrogating both remotely sensed and modeled data. The development of Horizon necessitated adaptation of the visualization engine to allow extensible integration of components such as the global rendering module and support for associated features. The resulting software is general in its GIS capability, but a specific Lake Tahoe visualization application suitable for immersive decision support in the DRIVE6 virtual reality facility has been developed. During the development, various features to enhance the value of the visualization experience were explored, including the use of hyperspectral image overlays. An over-arching goal of the visualization aspect of the project has been to develop and demonstrate the CAVE (CAVE Automatic Virtual Environment) as a practical tool for hydrologic research.

  16. ADAPTIVE MANAGEMENT AND PLANNING MODELS FOR CULTURAL RESOURCES IN OIL & GAS FIELDS IN NEW MEXICO AND WYOMING

    SciTech Connect (OSTI)

    Peggy Robinson

    2004-07-01

    This report contains a summary of activities of Gnomon, Inc. and five subcontractors that have taken place during the first six months of 2004 (January 1, 2004-June 30, 2004) under the DOE-NETL cooperative agreement: ''Adaptive Management and Planning Models for Cultural Resources in Oil & Gas Fields in New Mexico and Wyoming'', DE-FC26-02NT15445. Although Gnomon and all five subcontractors completed tasks during these six months, most of the technical experimental work was conducted by the subcontractor, SRI Foundation (SRIF). SRIF created a sensitivity model for the Azotea Mesa area of southeastern New Mexico that rates areas as having a very good chance, a good chance, or a very poor chance of containing cultural resource sites. SRIF suggested that the results of the sensitivity model might influence possible changes in cultural resource management (CRM) practices in the Azote Mesa area of southeastern New Mexico.

  17. ADAPTIVE MANAGEMENT AND PLANNING MODELS FOR CULTURAL RESOURCES IN OIL & GAS FIELDS IN NEW MEXICO AND WYOMING

    SciTech Connect (OSTI)

    Peggy Robinson

    2005-07-01

    This report summarizes activities that have taken place in the last six (6) months (January 2005-June 2005) under the DOE-NETL cooperative agreement ''Adaptive Management and Planning Models for Cultural Resources in Oil and Gas Fields, New Mexico and Wyoming'' DE-FC26-02NT15445. This project examines the practices and results of cultural resource investigation and management in two different oil and gas producing areas of the United States: southeastern New Mexico and the Powder River Basin of Wyoming. The project evaluates how cultural resource investigations have been conducted in the past and considers how investigation and management could be pursued differently in the future. The study relies upon full database population for cultural resource inventories and resources and geomorphological studies. These are the basis for analysis of cultural resource occurrence, strategies for finding and evaluating cultural resources, and recommendations for future management practices. Activities can be summarized as occurring in either Wyoming or New Mexico. Gnomon as project lead, worked in both areas.

  18. 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.

  19. Wind Integration National Dataset (WIND) Toolkit

    Broader source: Energy.gov [DOE]

    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....

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

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

    Adam, Jennifer C.; Stephens, Jennie C.; Chung, Serena H.; Brady, Michael P.; Evans, R. David; Kruger, Chad E.; Lamb, Brian K.; Liu, Mingliang; Stöckle, Claudio O.; Vaughan, Joseph K.; et al

    2014-04-24

    Uncertainties in global change impacts, the complexities associated with the interconnected cycling of nitrogen, carbon, and water present daunting management challenges. Existing models provide detailed information on specific sub-systems (e.g., land, air, water, and economics). An increasing awareness of the unintended consequences of management decisions resulting from interconnectedness of these sub-systems, however, necessitates coupled regional earth system models (EaSMs). Decision makers’ needs and priorities can be integrated into the model design and development processes to enhance decision-making relevance and “usability” of EaSMs. BioEarth is a research initiative currently under development with a focus on the U.S. Pacific Northwest region thatmore » explores the coupling of multiple stand-alone EaSMs to generate usable information for resource decision-making. Direct engagement between model developers and non-academic stakeholders involved in resource and environmental management decisions throughout the model development process is a critical component of this effort. BioEarth utilizes a bottom-up approach for its land surface model that preserves fine spatial-scale sensitivities and lateral hydrologic connectivity, which makes it unique among many regional EaSMs. Here, we describe the BioEarth initiative and highlights opportunities and challenges associated with coupling multiple stand-alone models to generate usable information for agricultural and natural resource decision-making.« less

  2. Development of a SPARK Training Dataset

    SciTech Connect (OSTI)

    Sayre, Amanda M.; Olson, Jarrod R.

    2015-03-01

    In its first five years, the National Nuclear Security Administration’s (NNSA) Next Generation Safeguards Initiative (NGSI) sponsored more than 400 undergraduate, graduate, and post-doctoral students in internships and research positions (Wyse 2012). In the past seven years, the NGSI program has, and continues to produce a large body of scientific, technical, and policy work in targeted core safeguards capabilities and human capital development activities. Not only does the NGSI program carry out activities across multiple disciplines, but also across all U.S. Department of Energy (DOE)/NNSA locations in the United States. However, products are not readily shared among disciplines and across locations, nor are they archived in a comprehensive library. Rather, knowledge of NGSI-produced literature is localized to the researchers, clients, and internal laboratory/facility publication systems such as the Electronic Records and Information Capture Architecture (ERICA) at the Pacific Northwest National Laboratory (PNNL). There is also no incorporated way of analyzing existing NGSI literature to determine whether the larger NGSI program is achieving its core safeguards capabilities and activities. A complete library of NGSI literature could prove beneficial to a cohesive, sustainable, and more economical NGSI program. The Safeguards Platform for Automated Retrieval of Knowledge (SPARK) has been developed to be a knowledge storage, retrieval, and analysis capability to capture safeguards knowledge to exist beyond the lifespan of NGSI. During the development process, it was necessary to build a SPARK training dataset (a corpus of documents) for initial entry into the system and for demonstration purposes. We manipulated these data to gain new information about the breadth of NGSI publications, and they evaluated the science-policy interface at PNNL as a practical demonstration of SPARK’s intended analysis capability. The analysis demonstration sought to answer the question, “Who leads research and development at PNNL, scientists or policy researchers?” The analysis was inconclusive as to whether policy researchers or scientists are primary drivers for research at PNNL. However, the dataset development and analysis activity did demonstrate the utility and usability of the SPARK dataset. After the initiation of the NGSI program there is a clear increase in the number of publications of safeguards products. Employing the natural language analysis tool IN SPIRE™ showed the presence of vocation- and topic-specific vernacular within NGSI sub-topics. The methodology developed to define the scope of the dataset was useful in describing safeguards applications, but may be applicable for research on other topics beyond safeguards. The analysis emphasized the need for an expanded dataset to fully understand the scope of safeguards publications and research both nationally and internationally. As the SPARK dataset grows to include publications outside PNNL, topics crosscutting disciplines and DOE/NNSA locations should become more apparent. NGSI was established in 2008 to cultivate the next generation of safeguards professionals and support the development of core safeguards capabilities (NNSA 2012). Now a robust system to preserve and share institutional memory such as SPARK is needed to inspire and equip the next generation of safeguards experts, technologies, and policies.

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

    Open Energy Info (EERE)

    reports that were originally put in as individual dataset entries 1. Reports of this nature should be turned into one original dataset, and the new weekly reports should be added...

  4. Nitrogen concentration and isotope dataset for environmental samples from

    Office of Scientific and Technical Information (OSTI)

    2012 and 2013, Barrow, Alaska (Dataset) | Data Explorer Data Explorer Search Results Nitrogen concentration and isotope dataset for environmental samples from 2012 and 2013, Barrow, Alaska Title: Nitrogen concentration and isotope dataset for environmental samples from 2012 and 2013, Barrow, Alaska Dataset includes nitrate concentrations for polygonal active layer samples, snowmelt; ammonium concentrations for active layer samples; nitrate isotopes for active layer samples, snowmelt,

  5. ARM: Auxiliary data for the Total Precipitation Sensor (Dataset...

    Office of Scientific and Technical Information (OSTI)

    (BER) Country of Publication: United States Availability: ORNL Language: English Subject: 54 Environmental Sciences Atmospheric temperature; Horizontal wind; Precipitation Dataset ...

  6. ARM: AOS: 3 wavelength Photoacoustic Soot Spectrometer (Dataset...

    Office of Scientific and Technical Information (OSTI)

    Hygroscopic growth; Inorganic chemical composition; Methane concentration; Ozone; Ozone Concentration; Particle number concentration; Particle size distribution Dataset File ...

  7. Evaluation of linear interpolation method for missing value on solar radiation dataset in Perlis

    SciTech Connect (OSTI)

    Saaban, Azizan; Zainudin, Lutfi; Bakar, Mohd Nazari Abu

    2015-05-15

    This paper intends to reveal the ability of the linear interpolation method to predict missing values in solar radiation time series. Reliable dataset is equally tends to complete time series observed dataset. The absence or presence of radiation data alters long-term variation of solar radiation measurement values. Based on that change, the opportunities to provide bias output result for modelling and the validation process is higher. The completeness of the observed variable dataset has significantly important for data analysis. Occurrence the lack of continual and unreliable time series solar radiation data widely spread and become the main problematic issue. However, the limited number of research quantity that has carried out to emphasize and gives full attention to estimate missing values in the solar radiation dataset.

  8. ARM: X-Band Scanning ARM Cloud Radar (XSACR) Zenith Pointing PPI (Dataset)

    Office of Scientific and Technical Information (OSTI)

    | Data Explorer XSACR) Zenith Pointing PPI Title: ARM: X-Band Scanning ARM Cloud Radar (XSACR) Zenith Pointing PPI X-Band Scanning ARM Cloud Radar (XSACR) Zenith Pointing PPI Authors: Widener, Kevin ; Nelson, Dan ; Bharadwaj, Nitin ; Lindenmaier, Iosif [1] ; Johnson, Karen + Show Author Affiliations Andrei Publication Date: 2014-04-14 OSTI Identifier: 1150304 DOE Contract Number: DE-AC05-00OR22725 Resource Type: Dataset Data Type: Numeric Data Research Org: Atmospheric Radiation Measurement

  9. AmeriFlux US-ARM ARM Southern Great Plains site- Lamont (Dataset) | Data

    Office of Scientific and Technical Information (OSTI)

    Explorer ARM ARM Southern Great Plains site- Lamont Title: AmeriFlux US-ARM ARM Southern Great Plains site- Lamont This is the AmeriFlux version of the carbon flux data for the site US-ARM ARM Southern Great Plains site- Lamont. Site Description - Central facility tower crop field Authors: Torn, Margaret [1] + Show Author Affiliations Lawrence Berkeley National Laboratory Publication Date: 2016-01-01 OSTI Identifier: 1246027 Resource Type: Dataset Data Type: Specialized Mix Research Org:

  10. Automated Analysis of Renewable Energy Datasets ('EE/RE Data Mining')

    SciTech Connect (OSTI)

    Bush, Brian; Elmore, Ryan; Getman, Dan; Inman, Daniel; Kalendra, Eric

    2013-06-13

    This poster illustrates methods to substantially improve the understanding of renewable energy data sets and the depth and efficiency of their analysis through the application of statistical learning methods ('data mining') in the intelligent processing of these often large and messy information sources. The six examples apply methods for anomaly detection, data cleansing, and pattern mining to time-series data (measurements from metering points in buildings) and spatiotemporal data (renewable energy resource datasets).

  11. 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.

  12. 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.

  13. 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.

  14. 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.

  15. 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.

  16. 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

  17. 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.

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

    Broader source: Energy.gov [DOE]

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

  19. NREL: Transmission Grid Integration - Wind Integration National Dataset

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

    (WIND) Toolkit Wind Integration National Dataset (WIND) Toolkit Obtain the WIND Toolkit Please note: the WIND Toolkit is simulated wind power data to be used in renewable integration studies. Please read the associated validation reports and use the data appropriately. The Wind Integration National Dataset (WIND) Toolkit is an update and expansion of the Eastern and Western Wind Datasets, and is intended to support the next generation of integration studies. The WIND Toolkit includes

  20. Cloud Properties and Radiative Heating Rates for TWP (Dataset...

    Office of Scientific and Technical Information (OSTI)

    irradiance; Liquid water content; Liquid water path; Ozone Concentration; Precipitation; Radar reflectivity; Radiative heating rate; Surface albedo Dataset File size NAView ...

  1. Computing Resources

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

    Cluster-Image TRACC RESEARCH Computational Fluid Dynamics Computational Structural Mechanics Transportation Systems Modeling Computing Resources The TRACC Computational Clusters With the addition of a new cluster called Zephyr that was made operational in September of this year (2012), TRACC now offers two clusters to choose from: Zephyr and our original cluster that has now been named Phoenix. Zephyr was acquired from Atipa technologies, and it is a 92-node system with each node having two AMD

  2. 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)

    999/264 Environmental Sciences Division Bamboo: an overlooked biomass resource? J. M. O. Scurlock Environmental Sciences Division Oak Ridge National Laboratory P.O. Box 2008 Oak Ridge, TN 37831-6407 U.S.A. D. C. Dayton and B. Hames National Renewable Energy Laboratory 1617 Cole Boulevard, MS 3311 Golden, CO 80401 U.S.A. Environmental Sciences Division Publication No. 4963 Date Published: January 2000 Prepared for the U.S. DEPARTMENT OF ENERGY Office of Transportation Technologies EB 52 03 00 0

  3. 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.

  4. 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.

  5. 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.

  6. Parameter assignments for spectral gamma-ray borehole calibration models. National Uranium Resource Evaluation

    SciTech Connect (OSTI)

    Heistand, B.E.; Novak, E.F.

    1984-04-01

    This report documents the work performed to determine the newly assigned concentrations for the spectral gamma-ray borehole calibration models. Thirty-two models, maintained by the US Department of Energy, are included in this study, and are grouped into eight sets of four models each. The eight sets are located at sites across the United States, and are used to calibrate logging instruments. The assignments are based on in-situ logging data to ensure self-consistency in the assigned concentrations, and on laboratory assays of concrete samples from each model to provide traceability to the New Brunswick Laboratory (NBL) standards. 13 references, 7 figures, 17 tables.

  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 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)

  9. 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)

  10. 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].

  11. 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.

  12. NREL: Renewable Resource Data Center - Biomass Resource Information

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

    Biomass Resource Information Photo of corn stover biomass resource Corn stover The Renewable Resource Data Center (RReDC) offers a collection of data and tools to assist with biomass resource research. Learn more about RReDC's biomass resource: Data Models and tools Publications Related links Biomass Resource Assessment is available for the United States by county and includes the following feedstock categories: crop residues, forest residues, primary and secondary mill residues, urban wood

  13. Dataset used to improve liquid water absorption models in the...

    Office of Scientific and Technical Information (OSTI)

    (BER) Country of Publication: United States Availability: ORNL Language: English Subject: 54 Environmental Sciences liquid water absorption, liquid water temperature, fkb, smt ...

  14. Marketing Resources

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

    Expand Utility Resources News & Events Expand News & Events Skip navigation links Marketing Resources Marketing Portal Reports, Publications, and Research Utility Toolkit...

  15. 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.

  16. AmeriFlux US-ARM ARM Southern Great Plains site- Lamont (Dataset) | SciTech

    Office of Scientific and Technical Information (OSTI)

    Connect ARM ARM Southern Great Plains site- Lamont Citation Details In-Document Search Title: AmeriFlux US-ARM ARM Southern Great Plains site- Lamont This is the AmeriFlux version of the carbon flux data for the site US-ARM ARM Southern Great Plains site- Lamont. Site Description - Central facility tower crop field Authors: Torn, Margaret [1] + Show Author Affiliations Lawrence Berkeley National Laboratory Publication Date: 2016-01-01 OSTI Identifier: 1246027 Resource Type: Dataset Data

  17. ARM: X-Band Scanning ARM Cloud Radar (X-SACR) Side-Looking Radar (Dataset)

    Office of Scientific and Technical Information (OSTI)

    | Data Explorer X-SACR) Side-Looking Radar Title: ARM: X-Band Scanning ARM Cloud Radar (X-SACR) Side-Looking Radar X-Band Scanning ARM Cloud Radar (X-SACR) Side-Looking Radar Authors: Dan Nelson ; Joseph Hardin ; Iosif [1] ; Bradley Isom ; Karen Johnson ; Nitin Bharadwaj + Show Author Affiliations (Andrei) Lindenmaier Publication Date: 2014-01-16 OSTI Identifier: 1150300 DOE Contract Number: DE-AC05-00OR22725 Resource Type: Dataset Data Type: Numeric Data Research Org: Atmospheric Radiation

  18. 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...

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

    Office of Scientific and Technical Information (OSTI)

    Connect Dataset: Clock Agreement Among Parallel Supercomputer Nodes Citation Details In-Document Search Title: Clock Agreement Among Parallel Supercomputer Nodes This dataset presents measurements that quantify the clock synchronization time-agreement characteristics among several high performance computers including the current world's most powerful machine for open science, the U.S. Department of Energy's Titan machine sited at Oak Ridge National Laboratory. These ultra-fast machines

  20. NREL Energy DataBus/Resources | Open Energy Information

    Open Energy Info (EERE)

    Get Involved Help Apps Datasets Community Login | Sign Up Search Page Edit History NREL Energy DataBusResources < NREL Energy DataBus Jump to: navigation, search View the...

  1. 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.

  2. COMPUTATIONAL RESOURCES FOR BIOFUEL FEEDSTOCK SPECIES

    SciTech Connect (OSTI)

    Buell, Carol Robin; Childs, Kevin L

    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/).

  3. Partition dataset according to amino acid type improves the prediction of deleterious non-synonymous SNPs

    SciTech Connect (OSTI)

    Yang, Jing; Li, Yuan-Yuan; Shanghai Center for Bioinformation Technology, Shanghai 200235 ; Li, Yi-Xue; Shanghai Center for Bioinformation Technology, Shanghai 200235 ; Ye, Zhi-Qiang; Key Laboratory of Systems Biology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 200031

    2012-03-02

    Highlights: Black-Right-Pointing-Pointer Proper dataset partition can improve the prediction of deleterious nsSNPs. Black-Right-Pointing-Pointer Partition according to original residue type at nsSNP is a good criterion. Black-Right-Pointing-Pointer Similar strategy is supposed promising in other machine learning problems. -- Abstract: Many non-synonymous SNPs (nsSNPs) are associated with diseases, and numerous machine learning methods have been applied to train classifiers for sorting disease-associated nsSNPs from neutral ones. The continuously accumulated nsSNP data allows us to further explore better prediction approaches. In this work, we partitioned the training data into 20 subsets according to either original or substituted amino acid type at the nsSNP site. Using support vector machine (SVM), training classification models on each subset resulted in an overall accuracy of 76.3% or 74.9% depending on the two different partition criteria, while training on the whole dataset obtained an accuracy of only 72.6%. Moreover, the dataset was also randomly divided into 20 subsets, but the corresponding accuracy was only 73.2%. Our results demonstrated that partitioning the whole training dataset into subsets properly, i.e., according to the residue type at the nsSNP site, will improve the performance of the trained classifiers significantly, which should be valuable in developing better tools for predicting the disease-association of nsSNPs.

  4. NREL: Resource Assessment and Forecasting Home Page

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

    NREL's resource assessment and forecasting research supports industry, government, and academia by providing renewable energy resource measurements, models, maps, and support services. These resources are used to plan and develop renewable energy technologies and support climate change research. Learn more about NREL's resource assessment and forecasting research: Capabilities Facilities Research staff Data and resources. Resource assessment and forecasting research is primarily performed at

  5. Contacts & Resources

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

    Contacts & Resources Contacts & Resources Environmental Communication & Public Involvement P.O. Box 1663 MS M996 Los Alamos, NM 87545 (505) 667-0216 envoutreach@lanl.gov Public...

  6. Resources - JCAP

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

    0 Resources Hero.jpg Resources Research Introduction Thrusts Library Resources Research Introduction Why Solar Fuels? Goals & Objectives Thrusts Thrust 1 Thrust 2 Thrust 3 Thrust 4 Library Publications Research Highlights Videos Resources User Facilities Expert Team Benchmarking Database Device Simulation Tool XPS Spectral Database JCAP offers a number of databases and simulation tools for solar-fuel generator researchers and developers. User Facilities Expert Team solarfuels1.jpg

  7. Teacher Resources

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

    Teacher Resources Teacher Resources The Bradbury Science Museum offers teacher resources for your visit. Scavenger Hunts Scavenger Hunt (pdf) Scavenger Hunt Key (pdf) Bradbury Science Museum newsletter The current issue can be found at the Newsletter page. Los Alamos Teachers' Resource Book Informal educators throughout the Los Alamos School District gather periodically to share ideas and collaborate. We have assembled a collection of flyers about our programs that serve classroom teachers into

  8. 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.

  9. Wood fuel technologies and group-oriented Timber Stand Improvement Program: model for waste wood utilization and resource renewal

    SciTech Connect (OSTI)

    Not Available

    1980-01-01

    Progress is reported on the following: educating and assisting landowners in the most efficient and profitable use of wood resources; developing local timber resources as energy alternatives by representing collective interests to Consumers Power, the woodchip industry, firewood retailers, country residents, and woodlot owners; and providing public information on the economics and methods of wood heat as a supplemental energy source. (MHR)

  10. A modeling study of irrigation effects on global surface water and groundwater resources under a changing climate

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

    Leng, Guoyong; Huang, Maoyi; Tang, Qiuhong; Leung, Lai-Yung R.

    2015-08-25

    In this paper, the effects of irrigation on global surface water (SW) and groundwater (GW) resources are investigated by performing simulations using Community Land Model 4.0 (CLM4) at 0.5-degree resolution driven by downscaled/bias-corrected historical simulations and future projections from five General Circulation Models (GCMs) for 1950-2099. For each climate scenario, three sets of numerical experiments were configured: (1) a control experiment (CTRL) in which all crops are assumed to be rainfed; (2) an irrigation experiment (IRRIG) in which the irrigation module using only SW for irrigation is activated; and (3) a groundwater pumping experiment (PUMP) in which a groundwater pumpingmore » scheme coupled with the irrigation module is activated for conjunctive use of SW and GW for irrigation. The parameters associated with irrigation and groundwater pumping are calibrated based on a global inventory of census-based SW and GW use compiled by the Food and Agricultural Organization (FAO). Our results suggest that irrigation could lead to two major opposing effects: SW depletion/GW accumulation in regions with irrigation primarily fed by SW, and SW accumulation/GW depletion in regions with irrigation fed primarily by GW. Furthermore, irrigation depending primarily on SW tends to have larger impacts on low-flow than high-flow conditions, suggesting the potential to increase vulnerability to drought. By the end of the 21st century (2070-2099), climate change significantly increases (relative to 1971-2000) irrigation water demand across the world. Combined with the increased temporal-spatial variability of water supply, this may lead to severe issues of local water scarcity for irrigation. Regionally, irrigation has the potential to aggravate/alleviate climate-induced changes of SW/GW although such effects are negligible when averaged globally. Our results emphasize the importance of accounting for irrigation effects and irrigation sources in regional climate change impact assessment.« less

  11. A modeling study of irrigation effects on global surface water and groundwater resources under a changing climate

    SciTech Connect (OSTI)

    Leng, Guoyong; Huang, Maoyi; Tang, Qiuhong; Leung, Lai-Yung R.

    2015-08-25

    Abstract In this study, the effects of irrigation on global surface water (SW) and groundwater (GW) resources are investigated by performing simulations using Community Land Model 4.0 (CLM4) at 0.5-degree resolution driven by downscaled/bias-corrected historical simulations and future projections from five General Circulation Models (GCMs) for 1950-2099. For each climate scenario, three sets of numerical experiments were configured: (1) a control experiment (CTRL) in which all crops are assumed to be rainfed; (2) an irrigation experiment (IRRIG) in which the irrigation module using only SW for irrigation is activated; and (3) a groundwater pumping experiment (PUMP) in which a groundwater pumping scheme coupled with the irrigation module is activated for conjunctive use of SW and GW for irrigation. The parameters associated with irrigation and groundwater pumping are calibrated based on a global inventory of census-based SW and GW use compiled by the Food and Agricultural Organization (FAO). Our results suggest that irrigation could lead to two major opposing effects: SW depletion/GW accumulation in regions with irrigation primarily fed by SW, and SW accumulation/GW depletion in regions with irrigation fed primarily by GW. Furthermore, irrigation depending primarily on SW tends to have larger impacts on low-flow than high-flow conditions, suggesting the potential to increase vulnerability to drought. By the end of the 21st century (2070-2099), climate change significantly increases (relative to 1971-2000) irrigation water demand across the world. Combined with the increased temporal-spatial variability of water supply, this may lead to severe issues of local water scarcity for irrigation. Regionally, irrigation has the potential to aggravate/alleviate climate-induced changes of SW/GW although such effects are negligible when averaged globally. Our results emphasize the importance of accounting for irrigation effects and irrigation sources in regional climate change impact assessment.

  12. A modeling study of irrigation effects on global surface water and groundwater resources under a changing climate

    SciTech Connect (OSTI)

    Leng, Guoyong; Huang, Maoyi; Tang, Qiuhong; Leung, Lai-Yung R.

    2015-08-25

    In this paper, the effects of irrigation on global surface water (SW) and groundwater (GW) resources are investigated by performing simulations using Community Land Model 4.0 (CLM4) at 0.5-degree resolution driven by downscaled/bias-corrected historical simulations and future projections from five General Circulation Models (GCMs) for 1950-2099. For each climate scenario, three sets of numerical experiments were configured: (1) a control experiment (CTRL) in which all crops are assumed to be rainfed; (2) an irrigation experiment (IRRIG) in which the irrigation module using only SW for irrigation is activated; and (3) a groundwater pumping experiment (PUMP) in which a groundwater pumping scheme coupled with the irrigation module is activated for conjunctive use of SW and GW for irrigation. The parameters associated with irrigation and groundwater pumping are calibrated based on a global inventory of census-based SW and GW use compiled by the Food and Agricultural Organization (FAO). Our results suggest that irrigation could lead to two major opposing effects: SW depletion/GW accumulation in regions with irrigation primarily fed by SW, and SW accumulation/GW depletion in regions with irrigation fed primarily by GW. Furthermore, irrigation depending primarily on SW tends to have larger impacts on low-flow than high-flow conditions, suggesting the potential to increase vulnerability to drought. By the end of the 21st century (2070-2099), climate change significantly increases (relative to 1971-2000) irrigation water demand across the world. Combined with the increased temporal-spatial variability of water supply, this may lead to severe issues of local water scarcity for irrigation. Regionally, irrigation has the potential to aggravate/alleviate climate-induced changes of SW/GW although such effects are negligible when averaged globally. Our results emphasize the importance of accounting for irrigation effects and irrigation sources in regional climate change impact assessment.

  13. ARM Carbon Cycle Gases Flasks at SGP Site (Dataset) | Data Explorer

    Office of Scientific and Technical Information (OSTI)

    Country of Publication: United States Availability: ORNL Language: English Subject: 54 Environmental Sciences ARM; ccg-flask; SGP; AOS-CO2 Dataset File size NAView Dataset ...

  14. AmeriFlux US-AR1 ARM USDA UNL OSU Woodward Switchgrass 1 (Dataset...

    Office of Scientific and Technical Information (OSTI)

    A second companion site (ARM USDA UNL OSU Woodward Switchgrass 2) is on a former ... Country of Publication: United States Language: English Dataset File size NAView Dataset View ...

  15. Energy API and dataset overview | OpenEI Community

    Open Energy Info (EERE)

    2012 - 14:36 cleanweb hackathon resource webinar Today, Ian Kalin, a presidential innovation fellow, and the OpenEI team recorded an "energy resource" overview for developers of...

  16. A polymer dataset for accelerated property prediction and design

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

    Huan, Tran Doan; Mannodi-Kanakkithodi, Arun; Kim, Chiho; Sharma, Vinit; Pilania, Ghanshyam; Ramprasad, Rampi

    2016-03-01

    Emerging computation- and data-driven approaches are particularly useful for rationally designing materials with targeted properties. Generally, these approaches rely on identifying structure-property relationships by learning from a dataset of sufficiently large number of relevant materials. The learned information can then be used to predict the properties of materials not already in the dataset, thus accelerating the materials design. Herein, we develop a dataset of 1,073 polymers and related materials and make it available at http://khazana.uconn.edu/. This dataset is uniformly prepared using first-principles calculations with structures obtained either from other sources or by using structure search methods. Because the immediate targetmore » of this work is to assist the design of high dielectric constant polymers, it is initially designed to include the optimized structures, atomization energies, band gaps, and dielectric constants. As a result, it will be progressively expanded by accumulating new materials and including additional properties calculated for the optimized structures provided.« less

  17. 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.

  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. Bulk Data Movement for Climate Dataset: Efficient Data Transfer Management with Dynamic Transfer Adjustment

    SciTech Connect (OSTI)

    Sim, Alexander; Balman, Mehmet; Williams, Dean N.; Shoshani, Arie; Natarajan, Vijaya

    2010-07-16

    Many scientific applications and experiments, such as high energy and nuclear physics, astrophysics, climate observation and modeling, combustion, nano-scale material sciences, and computational biology, generate extreme volumes of data with a large number of files. These data sources are distributed among national and international data repositories, and are shared by large numbers of geographically distributed scientists. A large portion of data is frequently accessed, and a large volume of data is moved from one place to another for analysis and storage. One challenging issue in such efforts is the limited network capacity for moving large datasets to explore and manage. The Bulk Data Mover (BDM), a data transfer management tool in the Earth System Grid (ESG) community, has been managing the massive dataset transfers efficiently with the pre-configured transfer properties in the environment where the network bandwidth is limited. Dynamic transfer adjustment was studied to enhance the BDM to handle significant end-to-end performance changes in the dynamic network environment as well as to control the data transfers for the desired transfer performance. We describe the results from the BDM transfer management for the climate datasets. We also describe the transfer estimation model and results from the dynamic transfer adjustment.

  20. Subcontractor Resources

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

    Community, Environment » Environmental Stewardship » Subcontactor Resources Subcontractor Resources We make it easy for you to work for Environmental Programs. Contact Environmental Programs Directorate Office (505) 606-2337 Points of Contact Subcontracts Manager Robin Reynolds Badging LANL TRU Program (LTP) - Mary Thronas Corrective Actions Program (CAP) - Tammie Fredenburg Records Debi Guffee Training Lisarae Lattin Resources Badge request form (docx) Injury illness card (pdf) Laboratory

  1. Hydrothermal Resources

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

    ... Geology Characterizing geology-rock types, structures, faults, and temperatures- is a fundamental step in discovering new geo- thermal resources. This information comes from a ...

  2. 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...

  3. Subcontractor Resources

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

    Robin Reynolds Badging LANL TRU Program (LTP) - Mary Thronas Corrective Actions Program (CAP) - Tammie Fredenburg Records Debi Guffee Training Lisarae Lattin Resources Badge...

  4. NREL: Geothermal Technologies - Data and Resources

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

    Data and Resources The following data and resources include geothermal resource maps, models and tools, and photos used and produced by NREL. These resources are available for geothermal researchers and others interested in the viability and development of geothermal energy. Resource Maps NREL develops resource and characterization maps to help industry, policymakers, and researchers evaluate the number, location, and possibilities for geothermal resources throughout the United States. View

  5. Solar resources

    SciTech Connect (OSTI)

    Hulstrom, R.L.

    1989-01-01

    Following the 1973 oil embargo, the US government initiated a program to develop and use solar energy. This led to individual programs devoted to developing various solar radiation energy conversion technologies: photovoltaic and solar-thermal conversion devices. Nearly concurrently, it was recognized that understanding the available insolation resources was required to develop and deploy solar energy devices and systems. It was also recognized that the insolation information available at that time (1973) was not adequate to meet the specific needs of the solar energy community. Federal efforts were initiated and conducted to produce new and more extensive information and data. The primary federal agencies that undertook such efforts were the Department of Energy (DOE) and the National Oceanic and Atmospheric Administration (NOAA). NOAA's efforts included activities performed by the National Weather Service (NWS) and the National Climatic Data Center (NCDC). This book has two man objectives: to report some of the insolation energy data, information, and products produced by the federal efforts and to describe how they were produced. Products include data bases, models and algorithms, monitoring networks, instrumentation, and scientific techniques. The scope of products and results does not include all those produced by past federal efforts. The book's scope and subject matter are oriented to support the intent and purpose of the other volumes in this series. In some cases, other pertinent material is presented to provide a more complete coverage of a given subject. 385 refs., 149 figs., 50 tabs.

  6. Soil Organic Carbon Degradation, Barrow, 2013-2014 (Dataset) | Data

    Office of Scientific and Technical Information (OSTI)

    Explorer Data Explorer Search Results Soil Organic Carbon Degradation, Barrow, 2013-2014 Title: Soil Organic Carbon Degradation, Barrow, 2013-2014 This dataset provides information about soil organic carbon decomposition in Barrow soil incubation studies. The soil cores were collected from low-center polygon (Area A) and were incubated in the laboratory at different temperatures for up to 60 days. Transformations of soil organic carbon were characterized by UV and FT-IR, and small organic

  7. ARM: Millimeter Wavelength Cloud Radar (MMCR): monitoring data (Dataset) |

    Office of Scientific and Technical Information (OSTI)

    Data Explorer Name Name ORCID Search Authors Type: Select Type Animations/Simulations Figures/Plots Genome/Genetics Data Interactive Data Map(s) Multimedia Numeric Data Specialized Mix Still Images or Photos Software Host Website: Subject: Identifier Numbers: Research Org: Sponsoring Org: Contributing Orgs: Publication Date: to Sort: Relevance (highest to lowest) Publication Date (newest first) Publication Date (oldest first) Limit to: All records Datasets Data Collections Close Clear All

  8. Information Resources | Department of Energy

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

    Information Resources Information Resources We've organized links and information on solar energy technologies and the SunShot Initiative to make it easier for you to find what you're looking for. Solar Energy Technologies Office Newsletters Solar-focused newsletters highlight the key activities, events, funding opportunities, and publications that the SunShot Initiative supports. Solar Energy Resource Center Resources include articles, case studies, fact sheets, how-to guides, model rules and

  9. Online Resources

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

    Online Resources Fusion and Plasma Physics Fusion Energy Education FuseEdWeb: Fusion Energy Education A Webby-award-winning site sponsored by LLNL and the Princeton Plasma Physics Laboratory with information and links to the world of fusion and plasma physics. General Atomics Fusion Education General Atomics Fusion Education Fusion education resources for teachers and students from General Atomics. Lasers and Photon Science Optics for Kids Optics 4 Kids Learn about optics-the "science of

  10. Archaeological Resources

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

    Archaeological Resources Archaeological Resources Our environmental stewardship commitment: we will cleanup the past, minimize impacts for current environmental operations, and create a sustainable future. April 12, 2012 Nake'muu Standing and previously collapsed walls at Nake'muu - note the window opening in the wall in the forefront of the photograph. Contact Environmental Communication & Public Involvement P.O. Box 1663 MS M996 Los Alamos, NM 87545 (505) 667-0216 Email The results of the

  11. 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...

  12. 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...

  13. Training Resources | Department of Energy

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

    Learning and Workforce Development » Training Resources Training Resources Training Resources Type Training Resources

  14. Index of /datasets/files/41/pub/PUBID8_0730

    Open Energy Info (EERE)

    Listing This is a file-level view of datasets. Go back to Datasets Listing 429 Throttled (bot load) Error 429 Throttled (bot load) Throttled (bot load) Guru Meditation: XID: 208445...

  15. Index of /datasets/files/41/pub/PUBID8_4282

    Open Energy Info (EERE)

    Listing This is a file-level view of datasets. Go back to Datasets Listing 429 Throttled (bot load) Error 429 Throttled (bot load) Throttled (bot load) Guru Meditation: XID: 21422...

  16. Index of /datasets/files/41/pub/PUBID8_4070

    Open Energy Info (EERE)

    This is a file-level view of datasets. Go back to Datasets Listing 429 Throttled (bot load) Error 429 Throttled (bot load) Throttled (bot load) Guru Meditation: XID: 97985954...

  17. Index of /datasets/files/41/pub/PUBID8_3090

    Open Energy Info (EERE)

    Listing This is a file-level view of datasets. Go back to Datasets Listing 429 Throttled (bot load) Error 429 Throttled (bot load) Throttled (bot load) Guru Meditation: XID: 214...

  18. Index of /datasets/files/41/pub/PUBID8_1095

    Open Energy Info (EERE)

    This is a file-level view of datasets. Go back to Datasets Listing 429 Throttled (bot load) Error 429 Throttled (bot load) Throttled (bot load) Guru Meditation: XID: 9674483...

  19. Index of /datasets/files/41/pub/PUBID8_3857

    Open Energy Info (EERE)

    Listing This is a file-level view of datasets. Go back to Datasets Listing 429 Throttled (bot load) Error 429 Throttled (bot load) Throttled (bot load) Guru Meditation: XID: 96744...

  20. Index of /datasets/files/41/pub/PUBID8_0536

    Open Energy Info (EERE)

    Listing This is a file-level view of datasets. Go back to Datasets Listing 429 Throttled (bot load) Error 429 Throttled (bot load) Throttled (bot load) Guru Meditation: XID: 9...

  1. Index of /datasets/files/41/pub/PUBID8_0245

    Open Energy Info (EERE)

    This is a file-level view of datasets. Go back to Datasets Listing 429 Throttled (bot load) Error 429 Throttled (bot load) Throttled (bot load) Guru Meditation: XID: 96744836...

  2. Index of /datasets/files/41/pub/PUBID8_1803

    Open Energy Info (EERE)

    This is a file-level view of datasets. Go back to Datasets Listing 429 Throttled (bot load) Error 429 Throttled (bot load) Throttled (bot load) Guru Meditation: XID: 2142255...

  3. Index of /datasets/files/41/pub/PUBID8_5373

    Open Energy Info (EERE)

    This is a file-level view of datasets. Go back to Datasets Listing 429 Throttled (bot load) Error 429 Throttled (bot load) Throttled (bot load) Guru Meditation: XID: 96744859...

  4. Index of /datasets/files/41/pub/PUBID8_0697

    Open Energy Info (EERE)

    This is a file-level view of datasets. Go back to Datasets Listing 429 Throttled (bot load) Error 429 Throttled (bot load) Throttled (bot load) Guru Meditation: XID: 11352643...

  5. Index of /datasets/files/41/pub/PUBID8_3365

    Open Energy Info (EERE)

    This is a file-level view of datasets. Go back to Datasets Listing 429 Throttled (bot load) Error 429 Throttled (bot load) Throttled (bot load) Guru Meditation: XID: 96744849...

  6. Index of /datasets/files/41/pub/PUBID8_0074

    Open Energy Info (EERE)

    Listing This is a file-level view of datasets. Go back to Datasets Listing 429 Throttled (bot load) Error 429 Throttled (bot load) Throttled (bot load) Guru Meditation: XID: 979859...

  7. Index of /datasets/files/41/pub/PUBID8_1997

    Open Energy Info (EERE)

    Listing This is a file-level view of datasets. Go back to Datasets Listing 429 Throttled (bot load) Error 429 Throttled (bot load) Throttled (bot load) Guru Meditation: XID: 967448...

  8. Index of /datasets/files/41/pub/PUBID8_2278

    Open Energy Info (EERE)

    Listing This is a file-level view of datasets. Go back to Datasets Listing 429 Throttled (bot load) Error 429 Throttled (bot load) Throttled (bot load) Guru Meditation: XID: 99456...

  9. Index of /datasets/files/41/pub/PUBID8_4510

    Open Energy Info (EERE)

    This is a file-level view of datasets. Go back to Datasets Listing 429 Throttled (bot load) Error 429 Throttled (bot load) Throttled (bot load) Guru Meditation: XID: 96744855...

  10. Index of /datasets/files/41/pub/PUBID8_5935

    Open Energy Info (EERE)

    is a file-level view of datasets. Go back to Datasets Listing 429 Throttled (bot load) Error 429 Throttled (bot load) Throttled (bot load) Guru Meditation: XID: 1863489907 Varnish...

  11. Production of BaBar Skimmed Analysis Datasets Using the Grid...

    Office of Scientific and Technical Information (OSTI)

    Production of BaBar Skimmed Analysis Datasets Using the Grid Citation Details In-Document Search Title: Production of BaBar Skimmed Analysis Datasets Using the Grid You are ...

  12. File:Excel sheet Datasets Tools.pdf | Open Energy Information

    Open Energy Info (EERE)

    Excel sheet Datasets Tools.pdf Jump to: navigation, search File File history File usage File:Excel sheet Datasets Tools.pdf Size of this preview: 776 600 pixels. Go to page 1 2...

  13. Do you have Power Battery data-set? | OpenEI Community

    Open Energy Info (EERE)

    Do you have Power Battery data-set? Home I am looking for large datasets of power batteries, but I can't find, I would appreciate if you could share. Thanks. Submitted by...

  14. Index of /datasets/files/41/pub/PUBID8_3482

    Open Energy Info (EERE)

    Directory Base Exist MaxTech Wiki Apps Datasets Community Login | Sign Up Search Facebook icon Twitter icon Directory Listing This is a file-level view of datasets. Go...

  15. 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.

  16. ARM: X-SAPR Range Height Indicator scan (Dataset) | Data Explorer

    Office of Scientific and Technical Information (OSTI)

    Country of Publication: United States Availability: ORNL Language: English Subject: 54 Environmental Sciences Radar Doppler; Radar polarization; Radar reflectivity Dataset ...

  17. 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

  18. Analysis Summary of an Assembled Western U.S. Dataset

    SciTech Connect (OSTI)

    Ryall, F

    2005-03-22

    The dataset for this report is described in Walter et al. (2004) and consists primarily of Nevada Test Site (NTS) explosions, hole collapse and earthquakes. In addition, there were several earthquakes in California and Utah; earthquakes recorded near Cataract Creek, Arizona; mine blasts at two areas in Arizona; and two mine collapses in Wyoming. In the vicinity of NTS there were mainshock/aftershock sequences at Little Skull Mt, Scotty's Junction and Hector ere mine. All the events were shallow and distances ranged from about 0.1 degree to regional distances. All of the data for these events were carefully reviewed and analyzed. In the following sections of the report, we describe analysis procedures, problems with the data and results of analysis.

  19. 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)

  20. Water energy resources of the United States with emphasis on low head/low power resources

    SciTech Connect (OSTI)

    Hall, Douglas G.; Cherry, Shane J.; Reeves, Kelly S.; Lee, Randy D.; Carroll, Gregory R.; Sommers, Garold L.; Verdin, Kristine L.

    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, and similar presentations for each of the 50 states are made in Appendix B.

  1. ARM Climate Modeling Best Estimate From Manus Island, PNG (ARMBE-ATM TWPC1)

    Office of Scientific and Technical Information (OSTI)

    (Dataset) | Data Explorer Manus Island, PNG (ARMBE-ATM TWPC1) Title: ARM Climate Modeling Best Estimate From Manus Island, PNG (ARMBE-ATM TWPC1) The ARM CMBE-ATM [Xie, McCoy, Klein et al.] data file contains a best estimate of several selected atmospheric quantities from ACRF observations and NWP analysis data. Authors: McCoy, Renata ; Xie, Shaocheng Publication Date: 2012-05-14 OSTI Identifier: 1039933 DOE Contract Number: DE-AC05-00OR22725 Resource Type: Dataset Data Type: Numeric Data

  2. ARM Climate Modeling Best Estimate Barrow, AK (ARMBE-ATM NSAC1 V4)

    Office of Scientific and Technical Information (OSTI)

    (Dataset) | Data Explorer Barrow, AK (ARMBE-ATM NSAC1 V4) Title: ARM Climate Modeling Best Estimate Barrow, AK (ARMBE-ATM NSAC1 V4) The ARM CMBE-ATM [Xie, McCoy, Klein et al.] data file contains a best estimate of several selected atmospheric quantities from ACRF observations and NWP analysis data. Authors: McCoy, Renata ; Xie, Shaocheng Publication Date: 2013-12-26 OSTI Identifier: 1111572 DOE Contract Number: DE-AC05-00OR22725 Resource Type: Dataset Data Type: Numeric Data Research Org:

  3. ARM Climate Modeling Best Estimate From Darwin, AU (ARMBE-ATM TWPC2)

    Office of Scientific and Technical Information (OSTI)

    (Dataset) | Data Explorer Darwin, AU (ARMBE-ATM TWPC2) Title: ARM Climate Modeling Best Estimate From Darwin, AU (ARMBE-ATM TWPC2) The ARM CMBE-ATM [Xie, McCoy, Klein et al.] data file contains a best estimate of several selected atmospheric quantities from ACRF observations and NWP analysis data. Authors: McCoy, Renata ; Xie, Shaocheng Publication Date: 2013-12-26 OSTI Identifier: 1039934 DOE Contract Number: DE-AC05-00OR22725 Resource Type: Dataset Data Type: Numeric Data Research Org:

  4. ARM Climate Modeling Best Estimate From Darwin, AU (ARMBE-ATM TWPC2)

    Office of Scientific and Technical Information (OSTI)

    (Dataset) | Data Explorer TWPC2) Title: ARM Climate Modeling Best Estimate From Darwin, AU (ARMBE-ATM TWPC2) The ARM CMBE-ATM [Xie, McCoy, Klein et al.] data file contains a best estimate of several selected atmospheric quantities from ACRF observations and NWP analysis data. Authors: McCoy, Renata ; Xie, Shaocheng Publication Date: 2013-12-26 OSTI Identifier: 1111568 DOE Contract Number: DE-AC05-00OR22725 Resource Type: Dataset Data Type: Numeric Data Research Org: Atmospheric Radiation

  5. ARM Climate Modeling Best Estimate From Darwin, AU (ARMBE-ATM TWPC3)

    Office of Scientific and Technical Information (OSTI)

    (Dataset) | Data Explorer Darwin, AU (ARMBE-ATM TWPC3) Title: ARM Climate Modeling Best Estimate From Darwin, AU (ARMBE-ATM TWPC3) The ARM CMBE-ATM [Xie, McCoy, Klein et al.] data file contains a best estimate of several selected atmospheric quantities from ACRF observations and NWP analysis data. Authors: McCoy, Renata ; Xie, Shaocheng Publication Date: 2013-12-26 OSTI Identifier: 1039935 DOE Contract Number: DE-AC05-00OR22725 Resource Type: Dataset Data Type: Numeric Data Research Org:

  6. ARM Climate Modeling Best Estimate From Darwin, AU (ARMBE-ATM TWPC3)

    Office of Scientific and Technical Information (OSTI)

    (Dataset) | Data Explorer TWPC3) Title: ARM Climate Modeling Best Estimate From Darwin, AU (ARMBE-ATM TWPC3) The ARM CMBE-ATM [Xie, McCoy, Klein et al.] data file contains a best estimate of several selected atmospheric quantities from ACRF observations and NWP analysis data. Authors: McCoy, Renata ; Xie, Shaocheng Publication Date: 2013-12-27 OSTI Identifier: 1111571 DOE Contract Number: DE-AC05-00OR22725 Resource Type: Dataset Data Type: Numeric Data Research Org: Atmospheric Radiation

  7. ARM Climate Modeling Best Estimate From Manus Island, PNG (ARMBE-ATM TWPC1)

    Office of Scientific and Technical Information (OSTI)

    (Dataset) | Data Explorer From Manus Island, PNG (ARMBE-ATM TWPC1) Title: ARM Climate Modeling Best Estimate From Manus Island, PNG (ARMBE-ATM TWPC1) The ARM CMBE-ATM [Xie, McCoy, Klein et al.] data file contains a best estimate of several selected atmospheric quantities from ACRF observations and NWP analysis data. Authors: McCoy, Renata ; Xie, Shaocheng Publication Date: 2013-12-26 OSTI Identifier: 1111536 DOE Contract Number: DE-AC05-00OR22725 Resource Type: Dataset Data Type: Numeric

  8. CSP Resources

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

    Resources - Sandia Energy Energy Search Icon Sandia Home Locations Contact Us Employee Locator Energy & Climate Secure & Sustainable Energy Future Stationary Power Energy Conversion Efficiency Solar Energy Wind Energy Water Power Supercritical CO2 Geothermal Natural Gas Safety, Security & Resilience of the Energy Infrastructure Energy Storage Nuclear Power & Engineering Grid Modernization Battery Testing Nuclear Fuel Cycle Defense Waste Management Programs Advanced Nuclear Energy

  9. NREL: Renewable Resource Data Center - SMARTS

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

    SMARTS - Simple Model of the Atmospheric Radiative Transfer of Sunshine Renewable Resource Data Center The Simple Model of the Atmospheric Radiative Transfer of Sunshine, or...

  10. Resources | Department of Energy

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

    Resources » Resources Resources Filter by Agency Filter by Audience Filter by Resource Type description partner_agency resource_type stakeholder_group publication_date node_url link

  11. Distributed Energy Resources Customer Adoption Model (DER-CAM), Investment & Planing Version 3.10.5.m

    SciTech Connect (OSTI)

    2014-04-01

    Version 3.10.5 is a multi-year Decision Support tool for Distributed Generation (DG). DER-CAM was initially created as an exclusively economic energy model, able to find the cost minimizing combination and operation profile of a set of DER technologies that meet heat and electric loads of a single building or microgrid for a typical test year. Now, version 3.10.5.m solves for a multiple-year horizon the technology choice question, the appropriate capacity for each selected technology as well as the operational and investment schedule. Optimized investment decisions are based on techno-economic criteria, along with site information such as energy loads, economic forecast, and technology characterization. Version 3.10.5 contains: 1. a PV and battery degradation model and 2. variable performance for technologies. Efficiency, investment costs, etc. can vary over time and model technology breakthroughs and advancements.

  12. Distributed Energy Resources Customer Adoption Model (DER-CAM), Investment & Planing Version 3.10.5.m

    Energy Science and Technology Software Center (OSTI)

    2014-04-01

    Version 3.10.5 is a multi-year Decision Support tool for Distributed Generation (DG). DER-CAM was initially created as an exclusively economic energy model, able to find the cost minimizing combination and operation profile of a set of DER technologies that meet heat and electric loads of a single building or microgrid for a typical test year. Now, version 3.10.5.m solves for a multiple-year horizon the technology choice question, the appropriate capacity for each selected technology asmore » well as the operational and investment schedule. Optimized investment decisions are based on techno-economic criteria, along with site information such as energy loads, economic forecast, and technology characterization. Version 3.10.5 contains: 1. a PV and battery degradation model and 2. variable performance for technologies. Efficiency, investment costs, etc. can vary over time and model technology breakthroughs and advancements.« less

  13. 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.

  14. Distributed Energy Resources Customer Adoption Model (DER-CAM), Investment & Planing Version 3.10.5.m

    Energy Science and Technology Software Center (OSTI)

    2014-04-01

    Version 3.10.5 is a multi-year Decision Support tool for Distributed Generation (DG). DER-CAM was initially created as an exclusively economic energy model, able to find the cost minimizing combination and operation profile of a set of DER technologies that meet heat and electric loads of a single building or microgrid for a typical test year. Now, version 3.10.5.m solves for a multiple-year horizon the technology choice question, the appropriate capacity for each selected technology asmorewell as the operational and investment schedule. Optimized investment decisions are based on techno-economic criteria, along with site information such as energy loads, economic forecast, and technology characterization. Version 3.10.5 contains: 1. a PV and battery degradation model and 2. variable performance for technologies. Efficiency, investment costs, etc. can vary over time and model technology breakthroughs and advancements.less

  15. Clean Energy Manufacturing Resources - Technology Prototyping | Department

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

    of Energy Prototyping Clean Energy Manufacturing Resources - Technology Prototyping Clean Energy Manufacturing Resources - Technology Prototyping Find resources to help you design and refine a prototype of a new clean energy technology or product. For prototyping, areas to consider include materials characterization; models and tools; intellectual property protection; small-scale production; R&D funding; and regional, state, and local resources. For more resources, see the Clean Energy

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

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

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

  17. Resources | Department of Energy

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

    Resources Resources The Office of Indian Energy provides the following resources to assist Tribes with energy development, capacity building, energy infrastructure, energy costs,...

  18. LANSCE | User Resources

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

    LANSCE provides its users with resources critical to their experiements and their experience. Lujan Resources WNR Resources Submit a proposal for beam time Visit...

  19. ARM: Marine W-band (95 GHz) ARM Cloud Radar (Dataset) | Data...

    Office of Scientific and Technical Information (OSTI)

    (BER) Country of Publication: United States Availability: ORNL Language: English Subject: 54 Environmental Sciences Radar Doppler; Radar reflectivity Dataset File size NAView ...

  20. A Large-Scale, High-Resolution Hydrological Model Parameter Data Set for Climate Change Impact Assessment for the Conterminous US

    SciTech Connect (OSTI)

    Oubeidillah, Abdoul A; Kao, Shih-Chieh; Ashfaq, Moetasim; Naz, Bibi S; Tootle, Glenn

    2014-01-01

    To extend geographical coverage, refine spatial resolution, and improve modeling efficiency, a computation- and data-intensive effort was conducted to organize a comprehensive hydrologic dataset with post-calibrated model parameters for hydro-climate impact assessment. Several key inputs for hydrologic simulation including meteorologic forcings, soil, land class, vegetation, and elevation were collected from multiple best-available data sources and organized for 2107 hydrologic subbasins (8-digit hydrologic units, HUC8s) in the conterminous United States at refined 1/24 (~4 km) spatial resolution. Using high-performance computing for intensive model calibration, a high-resolution parameter dataset was prepared for the macro-scale Variable Infiltration Capacity (VIC) hydrologic model. The VIC simulation was driven by DAYMET daily meteorological forcing and was calibrated against USGS WaterWatch monthly runoff observations for each HUC8. The results showed that this new parameter dataset may help reasonably simulate runoff at most US HUC8 subbasins. Based on this exhaustive calibration effort, it is now possible to accurately estimate the resources required for further model improvement across the entire conterminous United States. We anticipate that through this hydrologic parameter dataset, the repeated effort of fundamental data processing can be lessened, so that research efforts can emphasize the more challenging task of assessing climate change impacts. The pre-organized model parameter dataset will be provided to interested parties to support further hydro-climate impact assessment.

  1. 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).

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

    Broader source: Energy.gov [DOE]

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

  3. 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.

  4. 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.

  5. NREL: TroughNet - Data and Resources

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

    This site features data and resources about parabolic trough power plant technology, including: Industry partners U.S. power plant data Solar data Models and tools System and ...

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

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

    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 assessment...

  7. Wind Resource Assessment | Open Energy Information

    Open Energy Info (EERE)

    Databases Global Renewable Energy Database Power Technologies Energy Data Book Solar and Wind Energy Resource Assessment (SWERA) System Advisor Model (SAM) Transparent Cost...

  8. Sandia Energy - Resource Assessment

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

    Resource Assessment Home Stationary Power Energy Conversion Efficiency Water Power Resource Assessment Resource AssessmentAshley Otero2016-01-05T19:06:04+00:00 Characterizing wave...

  9. Water Energy Resources of the United States with Emphasis on Low Head/Low Power Resources: Appendix C - Validation Study

    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 Surveys 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.

  10. 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...

  11. 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...

  12. ARM - Other Science Resources

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

    SitesOther Science Resources Outreach Home Room News Publications Traditional Knowledge ... Teachers Teachers' Toolbox Lesson Plans Other Science Resources AIMS Education Foundation ...

  13. NREL: Renewable Resource Data Center - Biomass Resource Data

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

    Data The following biomass resource data collections can be found in the Renewable Resource Data Center (RReDC). Current Biomass Resource Supply An estimate of biomass resources...

  14. HDF5-FastQuery: Accelerating Complex Queries on HDF Datasets...

    Office of Scientific and Technical Information (OSTI)

    UsingFast Bitmap Indices Citation Details In-Document Search Title: HDF5-FastQuery: Accelerating Complex Queries on HDF Datasets UsingFast Bitmap Indices Large scale scientific ...

  15. 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...

  16. Fermilab Office of General Counsel - Resources

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

    Resources Links Documents

  17. Exudate-based diabetic macular edema detection in fundus images using publicly available datasets

    SciTech Connect (OSTI)

    Giancardo, Luca; Meriaudeau, Fabrice; Karnowski, Thomas Paul; Li, Yaquin; Garg, Seema; Tobin Jr, Kenneth William; Chaum, Edward

    2011-01-01

    Diabetic macular edema (DME) is a common vision threatening complication of diabetic retinopathy. In a large scale screening environment DME can be assessed by detecting exudates (a type of bright lesions) in fundus images. In this work, we introduce a new methodology for diagnosis of DME using a novel set of features based on colour, wavelet decomposition and automatic lesion segmentation. These features are employed to train a classifier able to automatically diagnose DME through the presence of exudation. We present a new publicly available dataset with ground-truth data containing 169 patients from various ethnic groups and levels of DME. This and other two publicly available datasets are employed to evaluate our algorithm. We are able to achieve diagnosis performance comparable to retina experts on the MESSIDOR (an independently labelled dataset with 1200 images) with cross-dataset testing (e.g., the classifier was trained on an independent dataset and tested on MESSIDOR). Our algorithm obtained an AUC between 0.88 and 0.94 depending on the dataset/features used. Additionally, it does not need ground truth at lesion level to reject false positives and is computationally efficient, as it generates a diagnosis on an average of 4.4 s (9.3 s, considering the optic nerve localization) per image on an 2.6 GHz platform with an unoptimized Matlab implementation.

  18. 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

  19. 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

  20. Fact #837: September 8, 2014 Gap between Net Imports and Total Imports of Petroleum is Widening – Dataset

    Broader source: Energy.gov [DOE]

    Excel file with dataset for Fact #837: Gap between Net Imports and Total Imports of Petroleum is Widening

  1. Fact #894: October 12, 2015 U.S. Petroleum Production and Consumption for All Sectors, 1973 through 2040- Dataset

    Broader source: Energy.gov [DOE]

    Excel file and dataset for U.S. Petroleum Production and Consumption for All Sectors, 1973 through 2040

  2. 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

  3. 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

  4. Fact #920: April 11, 2016 Electric Charging Stations are the Fastest Growing Type of Alternative Fueling Station- Dataset

    Broader source: Energy.gov [DOE]

    Excel file and dataset for Electric Charging Stations are the Fastest Growing Type of Alternative Fueling Station

  5. Intergovernmental & External Affairs Resources

    Broader source: Energy.gov [DOE]

    Funding and financing resources for state, local and tribal governments and private and public stakeholders.

  6. Natural resources law handbook

    SciTech Connect (OSTI)

    Not Available

    1991-01-01

    This book covers legal topics ranging from ownership-related issues (including disposition, use and management of privately and publicly-owned lands, resources, minerals and waters) to the protection and maintenance of our nation's natural resources. It contains chapters on oil and gas resources, coal resources, and minerals and mining.

  7. Career Map: Resource Scientist

    Broader source: Energy.gov [DOE]

    The Wind Program's Career Map provides job description information for Resource Scientist positions.

  8. ORISE Resources: Consumer Health Resource Information Service

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

    (CHRIS) guide Consumer Health Resource Information Service (CHRIS) guide The Consumer Health Resource Information Service (CHRIS) guide for faith-based organizations and communities was developed by the Oak Ridge Institute for Science and Education (ORISE) for those who would like to initiate a CHRIS program in their community or worship center. The tool kit-a companion piece for the guide-contains valuable online resources and copies of the letters, forms and other related materials used in

  9. Energy Efficiency Resource Standards Resources | Department of...

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

    Find EERS resources below. Coordination of Energy Efficiency and Demand Response ACEEE Database of State EERS Center for Climate and Energy Solutions: Energy Efficiency Standards ...

  10. Energy Resource Potential

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

    Education & Training » Energy Resource Library Energy Resource Library The U.S. Department of Energy (DOE) Office of Indian Energy resource library provides links to helpful resources for tribes on energy project development and financing on tribal lands. The library includes links to topically relevant publications, websites, videos, and more produced by the Office of Indian Energy and external organizations. The resources are specifically focused on energy topics that help promote tribal

  11. A GIS approach to cultural resources management and NEPA compliance

    SciTech Connect (OSTI)

    Moeller, K.

    1996-06-01

    Cultural resources management and historic preservation compliance are best approached within the broader framework of natural resources planning and land management. Argonne National Laboratory is currently assisting federal agencies with the development of computer- based resource management systems for large facilities, and cultural resources management and preservation are components of these systems. In the area of cultural resources, Argonne is using the GIS tool to demonstrate how federal facilities can manage large, complex databases, integrate cultural resource data with other environmental variables, model distributions of resources to aid in inventory and evaluation, link the data to quantitative and impact modes, and effectively manage and monitor resource planning activities and environmental compliance.

  12. PACENow Resources | Department of Energy

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

    Provides a broad range of property assessed clean energy resources. Author: PACENow PACENow Website More Documents & Publications Financing Energy Upgrades for K-12 School Districts Federal and State Structures to Support Financing Utility-Scale Solar Projects and the Business Models Designed to Utilize Them Guide to Commercial Property Assessed Clean Energy Financing

  13. Evaluation of Methods for Comparison of Spatiotemporal and Time Series Datasets

    SciTech Connect (OSTI)

    Getman, Dan; Bush, Brian; Inman, Danny; Elmore, Ryan

    2015-04-07

    Data used by the National Renewable Energy Laboratory (NREL) in energy analysis are often produced by industry and licensed or purchased for analysis. While this practice provides needed flexibility in selecting data for analysis it presents challenges in understanding the differences among multiple, ostensibly similar, datasets. As options for source data become more varied, it is important to be able to articulate why certain datasets were chosen and to ensure those include the data that best meet the boundaries and/or limitations of a particular analysis. This report represents the first of three phases of research intended to develop methods to quantitatively assess and compare both input datasets and the results of analyses performed at NREL. This capability is critical to identifying tipping points in the costs or benefits of achieving high spatial and temporal resolution of input data.

  14. OpenMSI: A Science Gateway to Sort Through Bio-Imaging's Big Datasets

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

    OpenMSI: A Science Gateway to Sort Through Bio-Imaging's Big Datasets OpenMSI: A Science Gateway to Sort Through Bio-Imaging's Big Datasets August 27, 2013 Contact: Linda Vu, +1 510 495 2402, lvu@lbl.gov OpenMSINERSC.jpg This overlay of mass spectrometry images shows the spatial distribution of three different kind of lipids across a whole mouse cross-section. Lipids act as the structural components of cell membranes and are responsible for energy storage, among other things. Image credit:

  15. Outdoor Lighting Resources

    Broader source: Energy.gov [DOE]

    DOE offers a variety of resources to guide municipalities, utilities, and others in their evaluation of LED street lighting products.

  16. 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.

  17. 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.

  18. Federal and External STEM Education Resources | Department of Energy

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

    and External STEM Education Resources Federal and External STEM Education Resources Federal and External STEM Education Resources STEM Volunteer Training Resources The Minorities in Energy Initiative launched a quarterly STEM Volunteer virtual training series on August 13, 2015. The trainings are intended to provide tips, resources and strategies for STEM professionals that want to volunteer. Role Models Matter Online Toolkit can be used to help you continue to prepare for your first role

  19. Primer on gas integrated resource planning

    SciTech Connect (OSTI)

    Goldman, C.; Comnes, G.A.; Busch, J.; Wiel, S.

    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.

  20. 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...

  1. Datasets - OpenEI Datasets

    Open Energy Info (EERE)

    file contains all the components... ZIP University of Massachusetts Marine Renewable Energy Center Waverider Bouy Data The compressed (.zip) file contains Datawell MK-III...

  2. 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...

  3. NREL: Renewable Resource Data Center - Solar Resource Data

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

    Data The following solar resource data collections can be found in the Renewable Resource Data Center (RReDC). Cooperative Networks for Renewable Resource Measurements (CONFRRM)...

  4. Cultural Resources | Open Energy Information

    Open Energy Info (EERE)

    source History View New Pages Recent Changes All Special Pages Semantic SearchQuerying Get Involved Help Apps Datasets Community Login | Sign Up Search Page Edit History Cultural...

  5. Distributed File System Utilities to Manage Large DatasetsVersion 0.5

    Energy Science and Technology Software Center (OSTI)

    2014-05-21

    FileUtils provides a suite of tools to manage large datasets typically created by large parallel MPI applications. They are written in C and use standard POSIX I/Ocalls. The current suite consists of tools to copy, compare, remove, and list. The tools provide dramatic speedup over existing Linux tools, which often run as a single process.

  6. Automatic Diabetic Macular Edema Detection in Fundus Images Using Publicly Available Datasets

    SciTech Connect (OSTI)

    Giancardo, Luca; Meriaudeau, Fabrice; Karnowski, Thomas Paul; Li, Yaquin; Garg, Seema; Tobin Jr, Kenneth William; Chaum, Edward

    2011-01-01

    Diabetic macular edema (DME) is a common vision threatening complication of diabetic retinopathy. In a large scale screening environment DME can be assessed by detecting exudates (a type of bright lesions) in fundus images. In this work, we introduce a new methodology for diagnosis of DME using a novel set of features based on colour, wavelet decomposition and automatic lesion segmentation. These features are employed to train a classifier able to automatically diagnose DME. We present a new publicly available dataset with ground-truth data containing 169 patients from various ethnic groups and levels of DME. This and other two publicly available datasets are employed to evaluate our algorithm. We are able to achieve diagnosis performance comparable to retina experts on the MESSIDOR (an independently labelled dataset with 1200 images) with cross-dataset testing. Our algorithm is robust to segmentation uncertainties, does not need ground truth at lesion level, and is very fast, generating a diagnosis on an average of 4.4 seconds per image on an 2.6 GHz platform with an unoptimised Matlab implementation.

  7. 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.

  8. 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.

  9. Gradient Resources | Open Energy Information

    Open Energy Info (EERE)

    Gradient Resources Jump to: navigation, search Logo: Gradient Resources Name: Gradient Resources Address: 9670 Gateway Drive, Suite 200 Place: Reno, Nevada Zip: 89521 Region:...

  10. National Geothermal Resource Assessment and Classification

    Broader source: Energy.gov [DOE]

    This work will enable lower risk/cost deployment of conventional and EGS geothermal power. USGS is also supporting GTP input to DOE National Energy Modeling by providing resource assessment data by geothermal region as input to GTP supply curves.

  11. Water resources and the urban environment

    SciTech Connect (OSTI)

    Loucks, E.D.

    1998-07-01

    140 abstracts from the conference cover topics such as urban stormwater management; geographic information systems, hydrologic and hydraulic computer modeling; groundwater analysis and management; drinking water supply and quality; and international water resources issues.

  12. 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

  13. 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

  14. 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

  15. 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

  16. 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

  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 #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

  19. Resources | Critical Materials Institute

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

    Resources The Critical Materials Institute offers connections to resources, including: List of resources U.S. Rare Earth Magnet Patents Table Government agency contacts CMI unique facilities CMI recent presentations Photographs via Flick'r: Critical Materials Institute, The Ames Laboratory Videos from The Ames Laboratory Webinars from Colorado School of Mines To offer comments on the CMI website or to ask questions, please contact us via e-mail at CMIdirector@ameslab.gov or call 515-296-4500.

  20. Contacts & Resources

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

    Contacts & Resources Contacts & Resources Environmental Communication & Public Involvement P.O. Box 1663 MS M996 Los Alamos, NM 87545 (505) 667-0216 envoutreach@lanl.gov Public Information LANL environmental website Public meetings and tours Mailing and emailing lists Public notification in local newspapers Events calendar Intellus database Information repositories Resources Illustrated Long-Term Strategy for Environmental Stewardship and Sustainability (pdf) Annual Sitewide

  1. Resources | Argonne National Laboratory

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

    Career Postdoctoral Factsheet: Before You Arrive Newsletters Professional Development Mentoring Resources Postdoctoral Society of Argonne LinkedIn Group National Postdoctoral...

  2. Renewable Resource Standard

    Broader source: Energy.gov [DOE]

    Eligible Technologies Eligible renewable resources include wind; solar; geothermal; existing hydroelectric projects (10 megawatts or less); certain new hydroelectric projects (up to 15 megawatts...

  3. Energy Efficiency Resource Standard

    Broader source: Energy.gov [DOE]

    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...

  4. Resources | Department of Energy

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

    The links in this tab connect visitors with the numerous elements and resources that play a role in transitioning ideas into commercialized, impactful technologies. One of the best ...

  5. Jefferson Lab - Resources

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

    https:www.jlab.orgresources

    Resources04.png"...

  6. 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...

  7. 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.

  8. 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.

  9. Response Resources Demonstration

    Office of Environmental Management (EM)

    Interoperability of Demand Response Resources Demonstration in NY Final Technical Report Award Number: DE-FC26-08NT02869 Project Type: Regional Demonstration Principal ...

  10. 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.

  11. Range Resources | Open Energy Information

    Open Energy Info (EERE)

    Range Resources Jump to: navigation, search Retrieved from "http:en.openei.orgwindex.php?titleRangeResources&oldid612320...

  12. Visual Resources | Open Energy Information

    Open Energy Info (EERE)

    Visual Resources Jump to: navigation, search Retrieved from "http:en.openei.orgwindex.php?titleVisualResources&oldid612333...

  13. Interconnection Resources | Department of Energy

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

    Interconnection Resources Interconnection Resources Interconnection is the technical procedures and legal requirements surrounding energy customers' ability to connect their ...

  14. Transportation Infrastructure Requirement Resources | Department...

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

    Infrastructure Requirement Resources Transportation Infrastructure Requirement Resources ... Establish Alternative Fuel Infrastructure. Back to Transportation Policies and Programs.

  15. Accounting Resources | The Ames Laboratory

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

    Accounting Resources Ames Laboratory Human Resources Forms Ames Laboratory Travel Forms Ames Laboratory Forms (Select Department) ISU Intramural PO Request

  16. Water Energy Resources of the United States with Emphasis on Low Head/Low Power Resources: Appendix B - Assessment Results by State

    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 Surveys 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 for each of the 50 states are made in Appendix B.

  17. 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

  18. 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.

  19. The Wind Integration National Dataset (WIND) Toolkit (Presentation), NREL (National Renewable Energy Laboratory)

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

    Wind Integration National Dataset (WIND) Toolkit Webinar Caroline Draxl and Bri-Mathias Hodge July 14, 2015 NREL/PR-5000-64691 2 Content * Motivation * Creation of the WIND Toolkit o Meteorological and power data * Data Access * Validation o Meteorological and power validation * Use of the WIND Toolkit 3 Impact of High Wind Penetrations on Power Systems Operations? Photo by Jamie Keller, NREL 19697 Photo by Energy Northwest, NREL 12307 4 Need for High-Resolution Wind Power Data Time of Day

  20. Quality Controlled Radiosonde Profile from MC3E (Dataset) | SciTech Connect

    Office of Scientific and Technical Information (OSTI)

    SciTech Connect Search Results Dataset: Quality Controlled Radiosonde Profile from MC3E Citation Details In-Document Search Title: Quality Controlled Radiosonde Profile from MC3E The sonde-adjust VAP produces data that corrects documented biases in radiosonde humidity measurements. Unique fields contained within this datastream include smoothed original relative humidity, dry bias corrected relative humidity, and final corrected relative humidity. The smoothed RH field refines the relative

  1. Wind Integration National Dataset (WIND) Toolkit; NREL (National Renewable Energy Laboratory)

    SciTech Connect (OSTI)

    Draxl, Caroline; Hodge, Bri-Mathias

    2015-07-14

    A webinar about the Wind Integration National Dataset (WIND) Toolkit was presented by Bri-Mathias Hodge and Caroline Draxl on July 14, 2015. It was hosted by the Southern Alliance for Clean Energy. The toolkit is a grid integration data set that contains meteorological and power data at a 5-minute resolution across the continental United States for 7 years and hourly power forecasts.

  2. Large-Scale Deep Learning on the YFCC100M Dataset (Conference...

    Office of Scientific and Technical Information (OSTI)

    Resource Relation: Conference: Presented at: Neural Information Processing Systems 2014, Quebec, Canada, Dec 08 - Dec 13, 2014 Research Org: Lawrence Livermore National Laboratory ...

  3. EFRC Resources-Resources-PHaSe-EFRC

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

    EFRC Resources EFRC map Last update 30 April 2015. The following links mostly provide information about accessing specialty equipment and the main instrument facilities that were created by PHaSE during 2009-2015. The last three links guide readers to information that is useful to anyone seriously interested in photovoltaics. Photovoltaic & Spectroscopy Facility Specialty Equipment for Electronic Materials Facility User Reservation Site NREL AM1.5 Solar Radiance Standard NREL Solar Cell

  4. User Resources | U.S. DOE Office of Science (SC)

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

    Resources User Facilities User Facilities Home User Facilities at a Glance User Resources Getting Started User Safety Access Models User Agreements Data Management Resources Acknowledging User Facilities User Statistics Policies and Processes Frequently Asked Questions User Facility Science Highlights User Facility News Contact Information Office of Science U.S. Department of Energy 1000 Independence Ave., SW Washington, DC 20585 P: (202) 586-5430 User Resources Print Text Size: A A A

  5. 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.

  6. Vermont Agency of Natural Resources Natural Resources Atlas ...

    Open Energy Info (EERE)

    Vermont Agency of Natural Resources Natural Resources Atlas Jump to: navigation, search OpenEI Reference LibraryAdd to library Web Site: Vermont Agency of Natural Resources Natural...

  7. NREL: Water Power Research - Resource Characterization

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

    Resource Characterization Building on its success in wind resource characterization and assessment, the National Renewable Energy Laboratory (NREL) has extended its capabilities to the field of water power. NREL's team of scientists, engineers and computer experts has broad experience in physical oceanography, meteorology, modeling, data analysis, and Geographic Information Systems. Many years of experience in wind assessment have enabled NREL to develop the skills and methodologies to evaluate

  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. Office of Information Resources

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

    Joanne Csordas (HS-1.21), Office of Business Operations, Office of Resource Management, Office of Health, Safety and Security, U.S. Department of Energy, HS-1.21, 1000 Independence ...

  10. SLURM Resource Manager is

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

    resource management (such as Torque) and job scheduling (such as Moab) into one system. ... Cori Phase 1. * Hopper stays with TorqueMoab un?l re?re. * Edison stays with Torque...

  11. 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 Employee Concerns and Grievances Employee Concerns Program (EDP)

  12. Save Energy Now Resources

    SciTech Connect (OSTI)

    2008-03-01

    The U.S. Department of Energy (DOE) provides information resources to industrial energy users and partnering organizations to help the nations industrial sector save energy and improve productivity.

  13. Energy Efficiency Resource Standard

    Broader source: Energy.gov [DOE]

    In 2008, New Mexico enacted H.B. 305, the Efficient Use of Energy Act, which created an Energy Efficiency Resource Standard (EERS) for New Mexico’s electric utilities, and a requirement that all ...

  14. Utility Metering- AGL Resources

    Broader source: Energy.gov [DOE]

    Presentation—given at the Spring 2013 Federal Utility Partnership Working Group (FUPWG) meeting—discusses AGL Resources metering, including interruptible rate customers, large users, and meeting federal metering goals.

  15. Distributed Energy Resource Program

    Broader source: Energy.gov [DOE]

    Note: A series of orders issued on July 15, 2015 in  Docket 2015-53-E, Docket 2015-54-E, and Docket 2015-55-E approved the incentive programs for South Carolina's Distributed Energy Resource...

  16. ARM - CHAPS: Campaign Resources

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

    ARM Data Discovery Browse Data CHAPS: Campaign Resources CHAPS Status 4-4-2007 ASP Lessons Learned 2007 CHAPS Fact Sheet Daily Flight Plan Schedule Overview of Protocol and...

  17. NETL: Natural Gas Resources

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

    Natural Gas Resources Useful for heating, manufacturing, and as chemical feedstock, natural gas has the added benefit of producing fewer greenhouse gas emissions than other fossil fuels used in power production.The United States is endowed with an abundance of natural gas resources, so increasing use of natural gas power can help strengthen domestic energy security. NETL research efforts enhance technologies that reduce the cost, increase the efficiency, and reduce the environmental risk of

  18. Resources | Department of Energy

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

    Resources Resources About one in every three federal employees is a military Veteran. At the Department of Energy, 21 percent of our workforce is made up of preference veterans. Veterans, their spouses, and dependent children are eligible for a variety of benefits provided by the Federal government. Some of these benefits are connected with service disabilities; others depend on amount of time served and in what capacity. Regardless, any Veteran seeking employment with a Federal agency should be

  19. Jefferson Lab Human Resources

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

    Jobs @ JLab print version Departments Appraisal System Benefits Compensation Diversity Home Emeritus Program Employee Concerns Program (ECP) Employee Relations Employment JLab Code of Ethics and Standards of Conduct JLab Registration / International Services Training and Performance Office Workplace Harassment and Violence Policy forms HR Forms Human Resources The Human Resources team is fully integrated with Jefferson Lab's mission, committed to providing quality customer service based on

  20. WINDExchange: Information Resources

    Wind Powering America (EERE)

    Information Resources A range of WINDExchange resources are available, including links to relevant publications, podcasts, and webinars about wind energy topics. Annual Reports Cover of the 2013 Wind Technologies Market Report. 2014 Wind Technologies Market Report The report provides a comprehensive overview of 2014 trends in the U.S. wind industry and wind power market. DOE's Lawrence Berkeley National Laboratory draws from a variety of data sources and covers a broad range of topics. Cover of

  1. Manhattan Project: Resources

    Office of Scientific and Technical Information (OSTI)

    RESOURCES RELATING TO THE MANHATTAN PROJECT In addition to the events, people, places, processes, and science pages that comprise the bulk of this web site, a number of additional resources are also provided: Reference Materials Maps Photo Gallery To Learn More Library Suggested Readings Background on this Site About this Site How to Navigate this Site Site Map Sources Note on Sources, A Nuclear Energy and the Public's Right to Know Sources and Notes (for each page) Sources and notes for this

  2. Development of a high-resolution bathymetry dataset for the Columbia River through the Hanford Reach

    SciTech Connect (OSTI)

    Coleman, Andre M.; Ward, Duane L.; Larson, Kyle B.; Lettrick, Joseph W.

    2010-10-08

    A bathymetric and topographic data collection and processing effort involving existing and newly collected data has been performed for the Columbia River through the Hanford Reach in central Washington State, extending 60-miles from the tailrace of Priest Rapids Dam (river mile 397) to near the vicinity of the Interstate 182 bridge just upstream of the Yakima River confluence (river mile 337). The contents of this report provide a description of the data collections, data inputs, processing methodology, and final data quality assessment used to develop a comprehensive and continuous merged 1m resolution bathymetric and topographic surface dataset for the Columbia River through the Hanford Reach.

  3. HDF5-FastQuery: Accelerating Complex Queries on HDF Datasets UsingFast

    Office of Scientific and Technical Information (OSTI)

    Bitmap Indices (Conference) | SciTech Connect UsingFast Bitmap Indices Citation Details In-Document Search Title: HDF5-FastQuery: Accelerating Complex Queries on HDF Datasets UsingFast Bitmap Indices Large scale scientific data is often stored in scientific data formats such as FITS, netCDF and HDF. These storage formats are of particular interest to the scientific user community since they provide multi-dimensional storage and retrieval. However, one of the drawbacks of these storage

  4. HDF5-FastQuery: Accelerating Complex Queries on HDF Datasets usingFast

    Office of Scientific and Technical Information (OSTI)

    Bitmap Indices (Conference) | SciTech Connect usingFast Bitmap Indices Citation Details In-Document Search Title: HDF5-FastQuery: Accelerating Complex Queries on HDF Datasets usingFast Bitmap Indices Large scale scientific data is often stored in scientific data formats such as FITS, netCDF and HDF. These storage formats are of particular interest to the scientific user community since they provide multi-dimensional storage and retrieval. However, one of the drawbacks of these storage

  5. AmeriFlux US-Skr Shark River Slough (Tower SRS-6) Everglades (Dataset) |

    Office of Scientific and Technical Information (OSTI)

    SciTech Connect Dataset: AmeriFlux US-Skr Shark River Slough (Tower SRS-6) Everglades Citation Details In-Document Search Title: AmeriFlux US-Skr Shark River Slough (Tower SRS-6) Everglades This is the AmeriFlux version of the carbon flux data for the site US-Skr Shark River Slough (Tower SRS-6) Everglades. Site Description - The Florida Everglades Shark River Slough Mangrove Forest site is located along the Shark River in the western region of Everglades National Park. Also referred to as

  6. DataHawk 1 data from COALA Engineering Evaluation (Dataset) | Data Explorer

    Office of Scientific and Technical Information (OSTI)

    DataHawk 1 data from COALA Engineering Evaluation Title: DataHawk 1 data from COALA Engineering Evaluation These are raw (uncorrected) measurements from the DataHawk 1 sensor package. This is a level 0 data product and only minimal quality control measures have been applied. It is likely that substantial further corrections will be required to use these in a physically meaningful way. Please contact the PI if interested in using the dataset. Authors: de Boer, Gijs Publication Date: 2015-10-07

  7. 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.

  8. 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).

  9. 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.

  10. Wind Career Map: Resource List

    Broader source: Energy.gov [DOE]

    The following resources were used in the development of the Wind Career Map, associated job profile information, or are potential resources for interested Wind Career Map viewers.

  11. Paleontological Resources | Open Energy Information

    Open Energy Info (EERE)

    Resources Jump to: navigation, search Retrieved from "http:en.openei.orgwindex.php?titlePaleontologicalResources&oldid647801" Feedback Contact needs updating Image...

  12. Fire Resources | Open Energy Information

    Open Energy Info (EERE)

    Fire Resources Jump to: navigation, search Retrieved from "http:en.openei.orgwindex.php?titleFireResources&oldid612392" Feedback Contact needs updating Image needs...

  13. Wildlife Resources | Open Energy Information

    Open Energy Info (EERE)

    Resources Jump to: navigation, search Retrieved from "http:en.openei.orgwindex.php?titleWildlifeResources&oldid612286" Feedback Contact needs updating Image needs...

  14. Assessing Your Renewable Energy Resources

    Energy Savers [EERE]

    Screening Approach NATIONAL RENEWABLE ENERGY LABORATORY Solar Resource Screening Analysis All Solar ... with direct normal solar resource estimates derived from 10 km satellite data. ...

  15. BPA Resource Program Announcement Letter

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

    types available to fill any projected deficits. The Resource Program will analyze the costs, risks and environmental characteristics of resource portfolios BPA could pursue and...

  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. Sage Resources | Open Energy Information

    Open Energy Info (EERE)

    Sage Resources Jump to: navigation, search Name: Sage Resources Place: Missoula, Montana Zip: 59803 Sector: Geothermal energy, Solar Product: A company specializing in geothermal...

  18. resource | OpenEI Community

    Open Energy Info (EERE)

    overview cleanweb hackathon resource webinar Today, Ian Kalin, a presidential innovation fellow, and the OpenEI team recorded an "energy resource" overview for developers of...

  19. Fisheries Resources | Open Energy Information

    Open Energy Info (EERE)

    Fisheries Resources Jump to: navigation, search Retrieved from "http:en.openei.orgwindex.php?titleFisheriesResources&oldid612306" Feedback Contact needs updating Image...

  20. Hanford Cultural Resources - Hanford Site

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

    About Us Hanford Site Wide Programs Hanford's Tribal Program Hanford Cultural Resources About Us Hanford's Tribal Program Home Hanford Cultural Resources DOE American Indian Tribal...

  1. 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.

  2. 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.

  3. 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.

  4. Information technology resources assessment

    SciTech Connect (OSTI)

    Loken, S.C.

    1993-01-01

    The emphasis in Information Technology (IT) development has shifted from technology management to information management, and the tools of information management are increasingly at the disposal of end-users, people who deal with information. Moreover, the interactive capabilities of technologies such as hypertext, scientific visualization, virtual reality, video conferencing, and even database management systems have placed in the hands of users a significant amount of discretion over how these resources will be used. The emergence of high-performance networks, as well as network operating systems, improved interoperability, and platform independence of applications will eliminate technical barriers to the use of data, increase the power and range of resources that can be used cooperatively, and open up a wealth of possibilities for new applications. The very scope of these prospects for the immediate future is a problem for the IT planner or administrator. Technology procurement and implementation, integration of new technologies into the existing infrastructure, cost recovery and usage of networks and networked resources, training issues, and security concerns such as data protection and access to experiments are just some of the issues that need to be considered in the emerging IT environment. As managers we must use technology to improve competitiveness. When procuring new systems, we must take advantage of scalable resources. New resources such as distributed file systems can improve access to and efficiency of existing operating systems. In addition, we must assess opportunities to improve information worker productivity and information management through tedmologies such as distributed computational visualization and teleseminar applications.

  5. 1999 Pacific Northwest Loads and Resources Study.

    SciTech Connect (OSTI)

    United States. Bonneville Power Administration.

    1999-12-01

    The Pacific Northwest Loads and Resources Study (White Book) is published annually by BPA and establishes the planning basis for supplying electricity to customers. It serves a dual purpose. First, the White Book presents projections of regional and Federal system load and resource capabilities, along with relevant definitions and explanations. Second, the White Book serves as a benchmark for annual BPA determinations made pursuant to its regional power sales contracts. Specifically, BPA uses the information in the White Book for determining the notice required when customers request to increase or decrease the amount of power purchased from BPA. The White Book will not be used in calculations for the 2002 regional power sales contract subscription process. The White Book compiles information obtained from several formalized resource planning reports and data submittals, including those from the Northwest Power Planning Council (Council) and the Pacific Northwest Utilities Conference Committee (PNUCC). The White Book is not an operational planning guide, nor is it used for determining BPA revenues. Operation of the Federal Columbia River Power System (FCRPS) is based on a set of criteria different from that used for resource planning decisions. Operational planning is dependent upon real-time or near-term knowledge of system conditions, including expectations of river flows and runoff, market opportunities, availability of reservoir storage, energy exchanges, and other factors affecting the dynamics of operating a power system. In this loads and resources study, resource availability is compared with a medium forecast of electricity consumption. The forecasted future electricity demands--firm loads--are subtracted from the projected capability of existing and ''contracted for'' resources to determine whether BPA and the region will be surplus or deficit. If Federal system resources are greater than loads in any particular year or month, there is a surplus of energy and/or capacity, which BPA may use or market to increase revenues. Conversely, if Federal system firm loads exceed available resources, there is a deficit of energy and/or capacity and BPA would add conservation or contract purchases as needed to meet its firm loads. The load forecast is derived by using econometric models and analysis to predict the loads that will be placed on electric utilities in the region. This study incorporates information on contract obligations and contract resources, combined with the resource capabilities obtained from public utility and investor-owned utility (IOU) customers through their annual data submittals to the PNUCC, from BPA's Firm Resource Exhibit (FRE Exhibit I) submittals, and through analysis of the Federal hydroelectric power system. The loads and resources analysis in this study simulates the operation of the power system under the Pacific Northwest Coordination Agreement (PNCA) produced by the Pacific Northwest Coordinating Group. The PNCA defines the planning and operation of the regional hydrosystem. The 1999 White Book is presented in two documents: (1) this summary of Federal system and Pacific Northwest region loads and resources; and (2) a technical appendix (available electronically only) detailing the loads and resources for each major Pacific Northwest generating utility. This analysis updates the December 1998 Pacific Northwest Loads and Resources Study. This analysis projects the yearly average energy consumption and resource availability for Operating Years (OY) 2000-01 through 2009-10. The study shows the Federal system's and the region's monthly estimated maximum electricity demand, monthly energy demand, monthly energy generation, and monthly maximum generating capability--capacity--for OY 2000-01, 2004-05, and 2009-10. The Federal system and regional monthly capacity surplus/deficit projections are summarized for 10 operating years. This document analyzes the Pacific Northwest's projected loads and available generating resources in two parts: (1) the loads and resources of the Federal system, for which BPA is the marketing agency; and (2) the larger Pacific Northwest regional power system, which includes loads and resources in addition to the Federal system.

  6. CONNECTED LIGHTING SYSTEMS RESOURCES | Department of Energy

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

    CONNECTED LIGHTING SYSTEMS RESOURCES CONNECTED LIGHTING SYSTEMS RESOURCES The following resources provide information about outdoor lighting control systems. 2014 Presentation:...

  7. Unconventional Resources Technology Advisory Committee | Department...

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

    Unconventional Resources Technology Advisory Committee Unconventional Resources Technology Advisory Committee The Unconventional Resources Technology Advisory Committee advises DOE ...

  8. Coal resources of Kyrgyzstan

    SciTech Connect (OSTI)

    Landis, E.R.; Bostick, N.H.; Gluskoter, H.J.; Johnson, E.A.; Harrison, C.D.; Huber, D.W.

    1995-12-31

    The rugged, mountainous country of Kyrgyzstan contains about one-half of the known coal resources of central Asia (a geographic and economic region that also includes Uzbekistan, Tadjikistan and Turkmenistan). Coal of Jurassic age is present in eight regions in Kyrgyzstan in at least 64 different named localities. Significant coal occurrences of about the same age are present in the central Asian countries of Kazakhstan, China, and Russia. Separation of the coal-bearing rocks into individual deposits results more than earth movements before and during formation of the present-day mountains and basins of the country than from deposition in separate basins.Separation was further abetted by deep erosion and removal of the coal-bearing rocks from many areas, followed by covering of the remaining coal-bearing rocks by sands and gravels of Cenozoic age. The total resources of coal in Kyrgyzstan have been reported as about 30 billion tons. In some of the reported localities, the coal resources are known and adequately explored. In other parts of the republic, the coal resources are inadequately understood or largely unexplored. The resource and reserve inventory of Kyrgyzstan is at best incomplete; for some purposes, such as short-term local and long-range national planning, it may be inadequate. Less than 8% of the total estimated resources are categorized as recoverable reserves, and the amount that is economically recoverable is unknown. The coal is largely of subbituminous and high-volatile C bituminous rank, most has low and medium ash and sulfur contents, and coals of higher rank (some with coking qualities) are present in one region. It is recommended that appropriate analyses and tests be made during planning for utilization.

  9. Utilize Available Resources

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

    Utilize Available Resources Print As soon as you arrive at the ALS, go to the registration desk on the second floor of the ALS (Building 6). The registration desk is open from 8:00 a.m. to 4:00 p.m. See the page about working onsite for complete information. Resources Available to Users The ALS has staff and facilities that are available to users to ensure that their experiment run is highly successful. Scientific and Technical Assistance and Facilities Safety for Users User Accounts and Emails

  10. OpenMP Resources

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

    OpenMP Home » For Users » Computational Systems » Edison » Programming » Using OpenMP » OpenMP Resources OpenMP Resources What is OpenMP OpenMP is an industry standard API of C/C++ and Fortran for shared memory parallel programming. OpenMP Architecture Review Board (ARB) consists of major compiler vendors and many research institutions. Common architectures include shared memory architecture (multiple CPUs shared global memory, uniform memory access (UMA), with typical shared memory

  11. NREL: Renewable Resource Data Center - Webmaster

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

    Printable Version RReDC Home Biomass Resource Information Geothermal Resource Information Solar Resource Information Wind Resource Information Did you find what you needed? Yes 1...

  12. Performance Modeling

    Office of Scientific and Technical Information (OSTI)

    The prediction methodology will form the foundation of a more robust resource management ... Accurate performance prediction requires accurate performance models of the components ...

  13. Resources | Energy Frontier Research Centers

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

    Resources Home Click here to visit the Department of Energy, EFRC Website

  14. Information Resources | Department of Energy

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

    Information Resources Information Resources Information Resources Photo of NREL employee Michael Deru using a desktop computer. The Geothermal Technologies Office is a source of current, relevant information about enhanced geothermal systems (EGS) technologies and other geothermal technologies and applications. On these pages you'll find helpful publications, software, and websites for the geothermal community and stakeholders. Geothermal information resources: Publications Technical Roadmaps

  15. Modeling

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

    Caterpillar, Sandia CRADA Opens Door to Multiple Research Projects Capabilities, Computational Modeling & Simulation, CRF, Materials Science, Modeling, Modeling, Modeling & ...

  16. World Shale Resources

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

    Deputy Administrator The U.S. has experienced a rapid increase in natural gas and oil production from shale and other tight resources 2 0.0 0.5 1.0 1.5 2.0 2.5 3.0 3.5 4.0...

  17. 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.

  18. Developer Resources | Department of Energy

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

    Developer Resources Developer Resources Apps for Energy Apps for Energy The Energy Department is challenging developers to use the Green Button data access program to bring residential and commercial utility data to life with fun and creative apps. Read more Learn about Green Button Learn about Green Button Apps for Energy submissions must use Green Button data. To learn more, start here. Read more NREL Resources NREL Resources NREL offers a number resources for Green Button app developers. Find

  19. 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.

  20. The Resource Identification Initiative: A cultural shift in publishing

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

    Bandrowski, Anita; Brush, Matthew; Grethe, Jeffery S.; Haendel, Melissa A.; Kennedy, David N.; Hill, Sean; Hof, Patrick R.; Martone, Maryann E.; Pols, Maaike; Tan, Serena; et al

    2015-05-29

    A central tenet in support of research reproducibility is the ability to uniquely identify research resources, i.e., reagents, tools, and materials that are used to perform experiments. However, current reporting practices for research resources are insufficient to allow humans and algorithms to identify the exact resources that are reported or answer basic questions such as “What other studies used resource X?” To address this issue, the Resource Identification Initiative was launched as a pilot project to improve the reporting standards for research resources in the methods sections of papers and thereby improve identifiability and reproducibility. The pilot engaged over 25more » biomedical journal editors from most major publishers, as well as scientists and funding officials. Authors were asked to include Research Resource Identifiers (RRIDs) in their manuscripts prior to publication for three resource types: antibodies, model organisms, and tools (including software and databases). RRIDs represent accession numbers assigned by an authoritative database, e.g., the model organism databases, for each type of resource. To make it easier for authors to obtain RRIDs, resources were aggregated from the appropriate databases and their RRIDs made available in a central web portal (www.scicrunch.org/resources). RRIDs meet three key criteria: they are machine readable, free to generate and access, and are consistent across publishers and journals. The pilot was launched in February of 2014 and over 300 papers have appeared that report RRIDs. The number of journals participating has expanded from the original 25 to more than 40. Here, we present an overview of the pilot project and its outcomes to date. We show that authors are generally accurate in performing the task of identifying resources and supportive of the goals of the project. We also show that identifiability of the resources pre- and post-pilot showed a dramatic improvement for all three resource types, suggesting that the project has had a significant impact on reproducibility relating to research resources.« less

  1. The Resource Identification Initiative: A cultural shift in publishing

    SciTech Connect (OSTI)

    Bandrowski, Anita; Brush, Matthew; Grethe, Jeffery S.; Haendel, Melissa A.; Kennedy, David N.; Hill, Sean; Hof, Patrick R.; Martone, Maryann E.; Pols, Maaike; Tan, Serena; Washington, Nicole; Zudilova-Seinstra, Elena; Vasilevsky, Nicole

    2015-05-29

    A central tenet in support of research reproducibility is the ability to uniquely identify research resources, i.e., reagents, tools, and materials that are used to perform experiments. However, current reporting practices for research resources are insufficient to allow humans and algorithms to identify the exact resources that are reported or answer basic questions such as “What other studies used resource X?” To address this issue, the Resource Identification Initiative was launched as a pilot project to improve the reporting standards for research resources in the methods sections of papers and thereby improve identifiability and reproducibility. The pilot engaged over 25 biomedical journal editors from most major publishers, as well as scientists and funding officials. Authors were asked to include Research Resource Identifiers (RRIDs) in their manuscripts prior to publication for three resource types: antibodies, model organisms, and tools (including software and databases). RRIDs represent accession numbers assigned by an authoritative database, e.g., the model organism databases, for each type of resource. To make it easier for authors to obtain RRIDs, resources were aggregated from the appropriate databases and their RRIDs made available in a central web portal (www.scicrunch.org/resources). RRIDs meet three key criteria: they are machine readable, free to generate and access, and are consistent across publishers and journals. The pilot was launched in February of 2014 and over 300 papers have appeared that report RRIDs. The number of journals participating has expanded from the original 25 to more than 40. Here, we present an overview of the pilot project and its outcomes to date. We show that authors are generally accurate in performing the task of identifying resources and supportive of the goals of the project. We also show that identifiability of the resources pre- and post-pilot showed a dramatic improvement for all three resource types, suggesting that the project has had a significant impact on reproducibility relating to research resources.

  2. Wind Resource Assessment of Gujarat (India)

    SciTech Connect (OSTI)

    Draxl, C.; Purkayastha, A.; Parker, Z.

    2014-07-01

    India is one of the largest wind energy markets in the world. In 1986 Gujarat was the first Indian state to install a wind power project. In February 2013, the installed wind capacity in Gujarat was 3,093 MW. Due to the uncertainty around existing wind energy assessments in India, this analysis uses the Weather Research and Forecasting (WRF) model to simulate the wind at current hub heights for one year to provide more precise estimates of wind resources in Gujarat. The WRF model allows for accurate simulations of winds near the surface and at heights important for wind energy purposes. While previous resource assessments published wind power density, we focus on average wind speeds, which can be converted to wind power densities by the user with methods of their choice. The wind resource estimates in this study show regions with average annual wind speeds of more than 8 m/s.

  3. The Resource Hierarchy Relationship

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

    Resource Hierarchy Relationship Troy Cook September 27, 2015 Independent Statistics & Analysis www.eia.gov U.S. Energy Information Administration Washington, DC 20585 This paper is released to encourage discussion and critical comment. The analysis and conclusions expressed here are those of the authors and not necessarily those of the U.S. Energy Information Administration. WORKING PAPER SERIES September 2015 Troy Cook | U.S. Energy Information Administration This paper is released to

  4. Response Resources Demonstration

    Energy Savers [EERE]

    Interoperability of Demand Response Resources Demonstration in NY Final Technical Report Award Number: DE-FC26-08NT02869 Project Type: Regional Demonstration Principal Investigator: Andre Wellington, Project Manager, Smart Grid Implementation Group Recipient: Consolidated Edison Company of New York, Inc. Team members: Innoventive Power and Verizon Communications Consolidated Edison Company of New York, Inc. Taxpayer ID Number: 13-5009340 Organizational DUNS: 00-698-2359 4 Irving Place New York,

  5. Facilities, Partnerships, and Resources

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

    Facilities, Partnerships, and Resources - Sandia Energy Energy Search Icon Sandia Home Locations Contact Us Employee Locator Energy & Climate Secure & Sustainable Energy Future Stationary Power Energy Conversion Efficiency Solar Energy Wind Energy Water Power Supercritical CO2 Geothermal Natural Gas Safety, Security & Resilience of the Energy Infrastructure Energy Storage Nuclear Power & Engineering Grid Modernization Battery Testing Nuclear Fuel Cycle Defense Waste Management

  6. Geothermal Resources Council's 36

    Office of Scientific and Technical Information (OSTI)

    Geothermal Resources Council's 36 th Annual Meeting Reno, Nevada, USA September 30 - October 3, 2012 Advanced Electric Submersible Pump Design Tool for Geothermal Applications Xuele Qi, Norman Turnquist, Farshad Ghasripoor GE Global Research, 1 Research Circle, Niskayuna, NY, 12309 Tel: 518-387-4748, Email: qixuele@ge.com Abstract Electrical Submersible Pumps (ESPs) present higher efficiency, larger production rate, and can be operated in deeper wells than the other geothermal artificial lifting

  7. Resources | Critical Materials Institute

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

    Resources Funding Opportunity Announcements: Small Business Innovation Research/Small Business Technology Transfer (SBIR/SBTT) SBIR/SBTT list of open/future funding opportunities Specific funding opportunity: SBIR/STTR Topics FY14 (Nov. 6, 2013) Department of Energy: doing business with small business Office of Energy Efficiency & Renewable Energy (EERE) Notice of intent to issue FOA (December 2013) Energy Department Announces $3 Million to Lower Cost of Geothermal Energy and Boost U.S.

  8. Distributed Energy Resources

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

    Energy Resources - Sandia Energy Energy Search Icon Sandia Home Locations Contact Us Employee Locator Energy & Climate Secure & Sustainable Energy Future Stationary Power Energy Conversion Efficiency Solar Energy Wind Energy Water Power Supercritical CO2 Geothermal Natural Gas Safety, Security & Resilience of the Energy Infrastructure Energy Storage Nuclear Power & Engineering Grid Modernization Battery Testing Nuclear Fuel Cycle Defense Waste Management Programs Advanced Nuclear

  9. 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.

  10. Information technology resources assessment

    SciTech Connect (OSTI)

    Stevens, D.F.

    1992-01-01

    This year`s Information Technology Resources Assessment (ITRA) is something of a departure from traditional practice. Past assessments have concentrated on developments in fundamental technology, particularly with respect to hardware. They form an impressive chronicle of decreasing cycle times, increasing densities, decreasing costs (or, equivalently, increasing capacity and capability per dollar spent), and new system architectures, with a leavening of operating systems and languages. Past assessments have aimed -- and succeeded -- at putting information technology squarely in the spotlight; by contrast, in the first part of this assessment, we would like to move it to the background, and encourage the reader to reflect less on the continuing technological miracles of miniaturization in space and time and more on the second- and third-order implications of some possible workplace applications of these miracles. This Information Technology Resources Assessment is intended to provide a sense of technological direction for planners in projecting the hardware, software, and human resources necessary to support the diverse IT requirements of the various components of the DOE community. It is also intended to provide a sense of our new understanding of the place of IT in our organizations.

  11. Information technology resources assessment

    SciTech Connect (OSTI)

    Stevens, D.F.

    1992-01-01

    This year's Information Technology Resources Assessment (ITRA) is something of a departure from traditional practice. Past assessments have concentrated on developments in fundamental technology, particularly with respect to hardware. They form an impressive chronicle of decreasing cycle times, increasing densities, decreasing costs (or, equivalently, increasing capacity and capability per dollar spent), and new system architectures, with a leavening of operating systems and languages. Past assessments have aimed -- and succeeded -- at putting information technology squarely in the spotlight; by contrast, in the first part of this assessment, we would like to move it to the background, and encourage the reader to reflect less on the continuing technological miracles of miniaturization in space and time and more on the second- and third-order implications of some possible workplace applications of these miracles. This Information Technology Resources Assessment is intended to provide a sense of technological direction for planners in projecting the hardware, software, and human resources necessary to support the diverse IT requirements of the various components of the DOE community. It is also intended to provide a sense of our new understanding of the place of IT in our organizations.

  12. 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.

  13. 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

  14. NREL: Renewable Resource Data Center - Solar Resource Information

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

    Solar Resource Information The Renewable Resource Data Center (RReDC) offers a collection of data and ... The proper siting of any renewable energy system is critical to its success. ...

  15. 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.

  16. Distributed resource management: garbage collection

    SciTech Connect (OSTI)

    Bagherzadeh, N.

    1987-01-01

    In recent years, there has been a great interest in designing high-performance distributed symbolic-processing computers. These architectures have special needs for resource management and dynamic reclamation of unused memory cells and objects. The memory management or garbage-collection aspects of these architectures are studied. Also introduced is a synchronous distributed algorithm for garbage collection. A special data structure is defined to handle the distributed nature of the problem. The author formally expresses the algorithm and shows the results of a synchronous garbage-collection simulation and its effect on the interconnection-network message to traffic. He presents an asynchronous distributed garbage collection to handle the resource management for a system that does not require a global synchronization mechanism. The distributed data structure is modified to include the asynchronous aspects of the algorithm. This method is extended to a multiple-mutator scheme, and the problem of having several processors share portion of a cyclical graph is discussed. Two models for the analytical study of the garbage-collection algorithms discussed are provided.

  17. NREL: Renewable Resource Data Center - Geothermal Resource Publications

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

    Publications For a list of Geothermal publications, go to Geothermal Technologies Publication page. For a list of legacy Geothermal publications, check out Geothermal Technologies Legacy Collection. NREL Publications Database For a comprehensive list of other NREL geothermal resource publications, explore NREL's Publications Database. When searching the database, search on "geothermal resources". Printable Version RReDC Home Biomass Resource Information Geothermal Resource Information

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

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

    Data and Resources National Solar Radiation Database NREL resource assessment and forecasting research information is available from the following sources. Renewable Resource Data Center (RReDC) Provides information about biomass, geothermal, solar, and wind energy resources. Measurement and Instrumentation Data Center Provides irradiance and meteorological data from stations throughout the United States. Baseline Measurement System (BMS) Provides live solar radiation data from approximately 70

  19. Clean Energy Manufacturing Federal Resource Guide | Department of Energy

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

    Clean Energy Manufacturing Federal Resource Guide Clean Energy Manufacturing Federal Resource Guide Find federal resources to help you design, scale up, and commercialize your technology with this guide. Technology Feasibility Evaluate your idea U.S. Department of Energy priorities R&D funding Business creation and development Licensing technologies Strategic partnerships Technology Prototyping Materials characterization Modeling and tools Intellectual property protection Product testing and

  20. Assessment of Offshore Wind Energy Resources for the United States |

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

    Department of Energy Assessment of Offshore Wind Energy Resources for the United States Assessment of Offshore Wind Energy Resources for the United States This report summarizes the offshore wind resource potential for the contiguous United States and Hawaii as of May 2009. The development of this assessment has evolved over multiple stages as new regional meso-scale assessments became available, new validation data was obtained, and better modeling capabilities were implemented. It is

  1. DOE ZERH Webinar: Technical Resources: Building America Solution Center |

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

    Department of Energy Resources: Building America Solution Center DOE ZERH Webinar: Technical Resources: Building America Solution Center Watch the video or view the presentation slides below Plan review ... energy modeling ... field inspections ... certification...done! Right? If it were only that simple to design, build, and market Zero Energy Ready Homes. The reality is that there's a lot more involved to be successful - like technical resources, tools to navigate the lending process, and

  2. Institute of Laboratory Animal Resources 1983 annual report

    SciTech Connect (OSTI)

    Not Available

    1984-01-01

    ILAR serves as a coordinating agency and a national and international resource for compiling and disseminating information on laboratory animals, promoting education, planning and conducting conferences and symposia, surveying facilities and resources, upgrading laboratory animal resources, and promoting high quality, humane care of laboratory animals in the US. This report diseases activities conducted in 1983, including committees on animal models and genetic stocks, infectious diseases of mice and rats, environmental conditions in animal rooms, and care and use of laboratory animals. (ACR)

  3. Standby Rates for Customer-Sited Resources - Issues, Considerations, and

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

    the Elements of Model Tariffs, 2009 | Department of Energy Standby Rates for Customer-Sited Resources - Issues, Considerations, and the Elements of Model Tariffs, 2009 Standby Rates for Customer-Sited Resources - Issues, Considerations, and the Elements of Model Tariffs, 2009 The economic viability of clean, distributed generation (DG) and, in particular, combined heat and power (CHP) facilities, heavily depends on the regulatory policies that determine how they are treated by the

  4. Geothermal resource conceptual models using surface exploration...

    Open Energy Info (EERE)

    approach is particularly effective when exploring blind prospects because it makes fuller use of more limited data and helps identify strategies to address the lack of...

  5. Geothermal Resource Conceptual Models Using Surface Exploration...

    Open Energy Info (EERE)

    approach is particularly effective when exploring blind prospects because it makes fuller use of more limited data and helps identify strategies to address the lack of...

  6. US hydropower resource assessment for Hawaii

    SciTech Connect (OSTI)

    Francfort, J.E.

    1996-09-01

    US DOE is developing an estimate of the undeveloped hydropower potential in US. The Hydropower Evaluation Software (HES) is a computer model developed by INEL for this purpose. HES measures the undeveloped hydropower resources available in US, using uniform criteria for measurement. The software was tested using hydropower information and data provided by Southwestern Power Administration. It is a menu-driven program that allows the PC user to assign environmental attributes to potential hydropower sites, calculate development suitability factors for each site based on the environmental attributes, and generate reports. This report describes the resource assessment results for the State of Hawaii.

  7. 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, 2013 Where to place a sentinel well Where

  8. False Pass Wind Resource Report

    Energy Savers [EERE]

    False Pass Wind Resource Report False Pass meteorological tower, view to the east, D. ... Eagle River, Alaska D r a f t 1 False Pass Wind Resource Report P a g e | 2 Summary The ...

  9. Historical Resources | Department of Energy

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

    Historical Resources Historical Resources Historical Resources New! Manhattan Project National Historical Park New! K-25 Virtual Museum The Department of Energy maintains and makes accessible to the general public a wide variety of historical resources. These include published and online histories of the Department and its predecessor agencies and records, exhibits, museums, and tours available online and at various locations both within and outside the Department. The Department's Office of

  10. Resource Analysis | Department of Energy

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

    Storage Fuel Cells Technology Validation Manufacturing Safety, Codes & Standards Education Market Transformation Systems Analysis Analysis Methodologies Resource Analysis ...

  11. Educational Resources | Department of Energy

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

    Educational Resources Educational Resources Sixth graders at Old Mill Middle School North experiment with steam to understand clean, natural geothermal energy from the Earth. Sixth graders at Old Mill Middle School North experiment with steam to understand clean, natural geothermal energy from the Earth. Geothermal Education Resources Geothermal Basics explained in plain language. Geothermal Resource of the United States: Map from the National Renewable Energy Lab. Energy Kids - Geothermal.

  12. Additional Resources | Department of Energy

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

    Additional Resources Additional Resources Additional Resources Energy Assurance Planning The Local Government Energy Assurance Planning (LEAP) program, developed by the Public Technology Institute and the U.S. Department of Energy, offers resources to help local governments of all sizes in developing energy assurance plans for their communities. U.S. Department of Energy, State and Local Energy Assurance Planning The National Association of State Energy Officials (NASEO) The National Association

  13. NREL: Energy Analysis: Resource Assessment

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

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

  14. Classroom Resources | Argonne National Laboratory

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

    Classroom Resources Connecting Argonne science to the classroom We have a number of resources ranging from video discussions with our scientists, virtual tours through google hangouts to live streaming of our public lecture series called Argonne Outloud. We are continuously developing and adding more resources to our social media outlets. Please connect with us and check back periodically. Biofuels Curriculum Resource - Farm to Flight: Can Biofuels Green Aviation? Ask Argonne - You Tube Series

  15. A Faster Parallel Algorithm and Efficient Multithreaded Implementations for Evaluating Betweenness Centrality on Massive Datasets

    SciTech Connect (OSTI)

    Madduri, Kamesh; Ediger, David; Jiang, Karl; Bader, David A.; Chavarria-Miranda, Daniel

    2009-02-15

    We present a new lock-free parallel algorithm for computing betweenness centralityof massive small-world networks. With minor changes to the data structures, ouralgorithm also achieves better spatial cache locality compared to previous approaches. Betweenness centrality is a key algorithm kernel in HPCS SSCA#2, a benchmark extensively used to evaluate the performance of emerging high-performance computing architectures for graph-theoretic computations. We design optimized implementations of betweenness centrality and the SSCA#2 benchmark for two hardware multithreaded systems: a Cray XMT system with the Threadstorm processor, and a single-socket Sun multicore server with the UltraSPARC T2 processor. For a small-world network of 134 million vertices and 1.073 billion edges, the 16-processor XMT system and the 8-core Sun Fire T5120 server achieve TEPS scores (an algorithmic performance count for the SSCA#2 benchmark) of 160 million and 90 million respectively, which corresponds to more than a 2X performance improvement over the previous parallel implementations. To better characterize the performance of these multithreaded systems, we correlate the SSCA#2 performance results with data from the memory-intensive STREAM and RandomAccess benchmarks. Finally, we demonstrate the applicability of our implementation to analyze massive real-world datasets by computing approximate betweenness centrality for a large-scale IMDb movie-actor network.

  16. Demand Response Resources for Energy and Ancillary Services (Presentation)

    SciTech Connect (OSTI)

    Hummon, M.

    2014-04-01

    Demand response (DR) resources present a potentially important source of grid flexibility particularly on future systems with high penetrations of variable wind an solar power generation. However, DR in grid models is limited by data availability and modeling complexity. This presentation focuses on the co-optimization of DR resources to provide energy and ancillary services in a production cost model of the Colorado test system. We assume each DR resource can provide energy services by either shedding load or shifting its use between different times, as well as operating

  17. Small Business Resources

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

    Resources in Your Community Presented by: UMKC Missouri Small Business & Technology Development Center Kansas City, MO 2 A B est P rac+ce i s a ... Technique Method Process Ac2vity Incen2ve Reward ... that i s m ore e ffec+ve d elivering a par+cular outcome. 3 Best P rac+ce i s D efined a s... * the m ost e fficient (least a mount o f e ffort), * and m ost e ffec2ve (best r esults) ...method t o a ccomplish a t ask b ased o n... * repeatable p rocedures * proven p rocedures * over 2 me * for

  18. Secure Fuels from Domestic Resources - Oil Shale and Tar Sands | Department

    Energy Savers [EERE]

    of Energy Secure Fuels from Domestic Resources - Oil Shale and Tar Sands Secure Fuels from Domestic Resources - Oil Shale and Tar Sands Profiles of Companies Engaged in Domestic Oil Shale and Tar Sands Resource and Technology Development PDF icon Profiles of Companies Engaged in Domestic Oil Shale and Tar Sands Resource and Technology Development More Documents & Publications Oil Shale RD&D Leases in the United States National Strategic Unconventional Resource Model Oil Shale

  19. Solar and Wind Resource Assessments for Afghanistan and Pakistan

    SciTech Connect (OSTI)

    Renne, D. S.; Kelly, M.; Elliott, D.; George, R.; Scott, G.; Haymes, S.; Heimiller, D.; Milbrandt, A.; Cowlin, S.; Gilman, P.; Perez, R.

    2007-01-01

    The U.S. National Renewable Energy Laboratory (NREL) has recently completed the production of high-resolution wind and solar energy resource maps and related data products for Afghanistan and Pakistan. The resource data have been incorporated into a geospatial toolkit (GsT), which allows the user to manipulate the resource information along with country-specific geospatial information such as highway networks, power facilities, transmission corridors, protected land areas, etc. The toolkit allows users to then transfer resource data for specific locations into NREL's micropower optimization model known as HOMER.

  20. Portland, Connecticut: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    Incorporated place and minor civil division population dataset (All States, all geography) Retrieved from "http:en.openei.orgwindex.php?titlePortland,Connecticut&oldid...

  1. Hixon, Wisconsin: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    Bureau Incorporated place and minor civil division population dataset (All States, all geography) Retrieved from "http:en.openei.orgwindex.php?titleHixon,Wisconsin&oldid237...

  2. Middlefield, Connecticut: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    Incorporated place and minor civil division population dataset (All States, all geography) Retrieved from "http:en.openei.orgwindex.php?titleMiddlefield,Connecticut&old...

  3. Casco, Maine: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    Incorporated place and minor civil division population dataset (All States, all geography) Retrieved from "http:en.openei.orgwindex.php?titleCasco,Maine&oldid229551"...

  4. Wethersfield, Connecticut: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    Incorporated place and minor civil division population dataset (All States, all geography) Retrieved from "http:en.openei.orgwindex.php?titleWethersfield,Connecticut&ol...

  5. Berry, Wisconsin: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    Incorporated place and minor civil division population dataset (All States, all geography) Retrieved from "http:en.openei.orgwindex.php?titleBerry,Wisconsin&oldid22764...

  6. Bridgton, Maine: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    Incorporated place and minor civil division population dataset (All States, all geography) Retrieved from "http:en.openei.orgwindex.php?titleBridgton,Maine&oldid228498...

  7. East Longmeadow, Massachusetts: Energy Resources | Open Energy...

    Open Energy Info (EERE)

    Incorporated place and minor civil division population dataset (All States, all geography) Retrieved from "http:en.openei.orgwindex.php?titleEastLongmeadow,Massachuset...

  8. Davidson, Minnesota: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    Incorporated place and minor civil division population dataset (All States, all geography) Retrieved from "http:en.openei.orgwindex.php?titleDavidson,Minnesota&oldid23...

  9. Burke, Wisconsin: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    Incorporated place and minor civil division population dataset (All States, all geography) Retrieved from "http:en.openei.orgwindex.php?titleBurke,Wisconsin&oldid22890...

  10. Union, Maine: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    in Knox County, Maine.1 References US Census Bureau Incorporated place and minor civil division population dataset (All States, all geography) Retrieved from "http:...

  11. Adrian, Wisconsin: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    County, Wisconsin.1 References US Census Bureau Incorporated place and minor civil division population dataset (All States, all geography) Retrieved from "http:...

  12. Bowerbank, Maine: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    County, Maine.1 References US Census Bureau Incorporated place and minor civil division population dataset (All States, all geography) Retrieved from "http:...

  13. Corinna, Maine: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    County, Maine.1 References US Census Bureau Incorporated place and minor civil division population dataset (All States, all geography) Retrieved from "http:...

  14. Warren, Maine: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    in Knox County, Maine.1 References US Census Bureau Incorporated place and minor civil division population dataset (All States, all geography) Retrieved from "http:...

  15. Friendship, Maine: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    in Knox County, Maine.1 References US Census Bureau Incorporated place and minor civil division population dataset (All States, all geography) Retrieved from "http:...

  16. Branford, Connecticut: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    Connecticut Apricus Solar References US Census Bureau Incorporated place and minor civil division population dataset (All States, all geography) Retrieved from "http:...

  17. Windsor, Wisconsin: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    Dane County, Wisconsin.1 References US Census Bureau Incorporated place and minor civil division population dataset (All States, all geography) Retrieved from "http:...

  18. Carmel, Maine: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    County, Maine.1 References US Census Bureau Incorporated place and minor civil division population dataset (All States, all geography) Retrieved from "http:...

  19. Addison, Vermont: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    district. 1 2 References US Census Bureau Incorporated place and minor civil division population dataset (All States, all geography) 110th Congressional...

  20. Cushing, Maine: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    in Knox County, Maine.1 References US Census Bureau Incorporated place and minor civil division population dataset (All States, all geography) Retrieved from "http:...

  1. Granby, Connecticut: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    County, Connecticut.1 References US Census Bureau Incorporated place and minor civil division population dataset (All States, all geography) Retrieved from "http:...

  2. Agenda, Wisconsin: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    County, Wisconsin.1 References US Census Bureau Incorporated place and minor civil division population dataset (All States, all geography) Retrieved from "http:...

  3. Cassel, Wisconsin: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    County, Wisconsin.1 References US Census Bureau Incorporated place and minor civil division population dataset (All States, all geography) Retrieved from "http:...

  4. Dexter, Maine: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    County, Maine.1 References US Census Bureau Incorporated place and minor civil division population dataset (All States, all geography) Retrieved from "http:...

  5. Benson, Vermont: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    district. 1 2 References US Census Bureau Incorporated place and minor civil division population dataset (All States, all geography) 110th Congressional...

  6. Day, Wisconsin: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    County, Wisconsin.1 References US Census Bureau Incorporated place and minor civil division population dataset (All States, all geography) Retrieved from "http:...

  7. Garland, Maine: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    County, Maine.1 References US Census Bureau Incorporated place and minor civil division population dataset (All States, all geography) Retrieved from "http:...

  8. Addison, Wisconsin: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    County, Wisconsin.1 References US Census Bureau Incorporated place and minor civil division population dataset (All States, all geography) Retrieved from "http:...

  9. Acton, Maine: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    in York County, Maine.1 References US Census Bureau Incorporated place and minor civil division population dataset (All States, all geography) Retrieved from "http:...

  10. Hartland, Connecticut: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    County, Connecticut.1 References US Census Bureau Incorporated place and minor civil division population dataset (All States, all geography) Retrieved from "http:...

  11. Baldwin, Maine: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    County, Maine.1 References US Census Bureau Incorporated place and minor civil division population dataset (All States, all geography) Retrieved from "http:...

  12. Akan, Wisconsin: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    County, Wisconsin.1 References US Census Bureau Incorporated place and minor civil division population dataset (All States, all geography) Retrieved from "http:...

  13. Darien, Connecticut: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    FE Clean Energy Group References US Census Bureau Incorporated place and minor civil division population dataset (All States, all geography) Retrieved from "http:...

  14. Chaplin, Connecticut: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    County, Connecticut.1 References US Census Bureau Incorporated place and minor civil division population dataset (All States, all geography) Retrieved from "http:...

  15. Halsey, Wisconsin: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    County, Wisconsin.1 References US Census Bureau Incorporated place and minor civil division population dataset (All States, all geography) Retrieved from "http:...

  16. Salisbury, Vermont: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    district. 1 2 References US Census Bureau Incorporated place and minor civil division population dataset (All States, all geography) 110th Congressional...

  17. Reseburg, Wisconsin: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    County, Wisconsin.1 References US Census Bureau Incorporated place and minor civil division population dataset (All States, all geography) Retrieved from "http:...

  18. Farmington, Connecticut: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    County, Connecticut.1 References US Census Bureau Incorporated place and minor civil division population dataset (All States, all geography) Retrieved from "http:...

  19. Gorham, Maine: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    County, Maine.1 References US Census Bureau Incorporated place and minor civil division population dataset (All States, all geography) Retrieved from "http:...

  20. Ainsworth, Wisconsin: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    County, Wisconsin.1 References US Census Bureau Incorporated place and minor civil division population dataset (All States, all geography) Retrieved from "http:...

  1. Abbot, Maine: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    County, Maine.1 References US Census Bureau Incorporated place and minor civil division population dataset (All States, all geography) Retrieved from "http:...

  2. Abrams, Wisconsin: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    County, Wisconsin.1 References US Census Bureau Incorporated place and minor civil division population dataset (All States, all geography) Retrieved from "http:...

  3. Pawlet, Vermont: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    district. 1 2 References US Census Bureau Incorporated place and minor civil division population dataset (All States, all geography) 110th Congressional...

  4. Quincy, Wisconsin: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    County, Wisconsin.1 References US Census Bureau Incorporated place and minor civil division population dataset (All States, all geography) Retrieved from "http:...

  5. Addison, Maine: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    County, Maine.1 References US Census Bureau Incorporated place and minor civil division population dataset (All States, all geography) Retrieved from "http:...

  6. Ackley, Wisconsin: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    County, Wisconsin.1 References US Census Bureau Incorporated place and minor civil division population dataset (All States, all geography) Retrieved from "http:...

  7. Windsor, Vermont: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    district. 1 2 References US Census Bureau Incorporated place and minor civil division population dataset (All States, all geography) 110th Congressional...

  8. Marlborough, Connecticut: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    County, Connecticut.1 References US Census Bureau Incorporated place and minor civil division population dataset (All States, all geography) Retrieved from "http:...

  9. Alban, Wisconsin: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    County, Wisconsin.1 References US Census Bureau Incorporated place and minor civil division population dataset (All States, all geography) Retrieved from "http:...

  10. Seif, Wisconsin: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    County, Wisconsin.1 References US Census Bureau Incorporated place and minor civil division population dataset (All States, all geography) Retrieved from "http:...

  11. Windham, Maine: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    County, Maine.1 References US Census Bureau Incorporated place and minor civil division population dataset (All States, all geography) Retrieved from "http:...

  12. Stetson, Maine: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    County, Maine.1 References US Census Bureau Incorporated place and minor civil division population dataset (All States, all geography) Retrieved from "http:...

  13. Dixmont, Maine: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    County, Maine.1 References US Census Bureau Incorporated place and minor civil division population dataset (All States, all geography) Retrieved from "http:...

  14. Ridgefield, Connecticut: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    County, Connecticut.1 References US Census Bureau Incorporated place and minor civil division population dataset (All States, all geography) Retrieved from "http:...

  15. Jericho, Vermont: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    district. 1 2 References US Census Bureau Incorporated place and minor civil division population dataset (All States, all geography) 110th Congressional...

  16. Bethel, Connecticut: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    Apollo Solar Energy Inc References US Census Bureau Incorporated place and minor civil division population dataset (All States, all geography) Retrieved from "http:...

  17. Bradford, Wisconsin: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    Rock County, Wisconsin.1 References US Census Bureau Incorporated place and minor civil division population dataset (All States, all geography) Retrieved from "http:...

  18. Freeport, Maine: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    County, Maine.1 References US Census Bureau Incorporated place and minor civil division population dataset (All States, all geography) Retrieved from "http:...

  19. Ahnapee, Wisconsin: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    County, Wisconsin.1 References US Census Bureau Incorporated place and minor civil division population dataset (All States, all geography) Retrieved from "http:...

  20. Standish, Maine: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    County, Maine.1 References US Census Bureau Incorporated place and minor civil division population dataset (All States, all geography) Retrieved from "http:...