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

    Office of Scientific and Technical Information (OSTI)

    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 ...

  6. 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....

  7. 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...

  8. Development of Regional Wind Resource and Wind Plant Output Datasets...

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

    ......... 18 9. Solar Forecast Data ......Summary This is the Final Report for the project "Development of Regional Wind Resource ...

  9. 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,...

  10. 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.

  11. Oregon Cascades Play Fairway Analysis: Raster Datasets and Models

    SciTech Connect (OSTI)

    Adam Brandt

    2015-11-15

    This submission includes maps of the spatial distribution of basaltic, and felsic rocks in the Oregon Cascades. It also includes a final Play Fairway Analysis (PFA) model, with the heat and permeability composite risk segments (CRS) supplied separately. Metadata for each raster dataset can be found within the zip files, in the TIF images

  12. 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.

  13. 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.

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

    Office of Scientific and Technical Information (OSTI)

    Country of Publication: United States Availability: GDRHelp@EE.Doe.Gov Language: English Subject: 15 Geothermal Energy geothermal; San Emidio Geothermal Area; 3D Model Dataset File ...

  16. 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.

  17. 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.

  18. 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.

  19. Hydrogen Demand and Resource Analysis (HyDRA) Model

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

    Demand and Resource Analysis (HyDRA) Model (National Renewable Energy Laboratory) Objectives To allow analysts, decision makers, and general users to view, download, and analyze hydrogen demand, resource, and infrastructure data spatially and dynamically. Key Attributes & Strengths HyDRA is an application that has the look, feel, and functionality of a traditional client-based GIS application. Users are able to create their own spatial datasets and upload them into the HyDRA application to

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

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

    The Vegetation-Ecosystem Modeling and Analysis Project (VEMAP) was a large, collaborative, multi-agency program to simulate and understand ecosystem dynamics for the continental U.S. The project involved the development of common data sets for model input including a high-resolution topographically-adjusted climate history of the U.S. from 1895-1993 on a 0.5? grid, with soils and vegetation cover. The vegetation cover data set includes a detailed agricultural data base based on USDA statistics and remote sensing, as well as natural vegetation (also derived from satellite imagery). Two principal model experiments were run. First, a series of ecosystem models were run from 1895 to 1993 to simulate current ecosystem biogeochemistry. Second, these same models were integrated forward using the output from two climate system models (CCC (Canadian Climate Centre) and Hadley Centre models) using climate results translated into the VEMAP grid and re-adjusted for high-resolution topography for the simulated period 1994-2100.[Quoted from http://www.cgd.ucar.edu/vemap/findings.html] The VEMAP Data Portal is a central collection of files maintained and serviced by the NCAR Data Group. These files (the VEMAP Community Datasets) represent a complete and current collection of VEMAP data files. All data files available through the Data Portal have undergone extensive quality assurance.[Taken from http://www.cgd.ucar.edu/vemap/datasets.html] 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.

  1. 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).

  2. 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.

  3. 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.

  4. 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.

  5. 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

  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. Fact #941: September 5, 2016 Mid-term Evaluation of the Corporate Average Fuel Economy Standards May Impact Future Standards for Model Years 2022 to 2025- Dataset

    Broader source: Energy.gov [DOE]

    Excel file and dataset for Mid-term Evaluation of the Corporate Average Fuel Economy Standards May Impact Future Standards for Model Years 2022 to 2025

  10. An efficient parallel sampling technique for Multivariate Poisson-Lognormal model: Analysis with two crash count datasets

    SciTech Connect (OSTI)

    Zhan, Xianyuan; Aziz, H. M. Abdul; Ukkusuri, Satish V.

    2015-11-19

    Our study investigates the Multivariate Poisson-lognormal (MVPLN) model that jointly models crash frequency and severity accounting for correlations. The ordinary univariate count models analyze crashes of different severity level separately ignoring the correlations among severity levels. The MVPLN model is capable to incorporate the general correlation structure and takes account of the over dispersion in the data that leads to a superior data fitting. But, the traditional estimation approach for MVPLN model is computationally expensive, which often limits the use of MVPLN model in practice. In this work, a parallel sampling scheme is introduced to improve the original Markov Chain Monte Carlo (MCMC) estimation approach of the MVPLN model, which significantly reduces the model estimation time. Two MVPLN models are developed using the pedestrian vehicle crash data collected in New York City from 2002 to 2006, and the highway-injury data from Washington State (5-year data from 1990 to 1994) The Deviance Information Criteria (DIC) is used to evaluate the model fitting. The estimation results show that the MVPLN models provide a superior fit over univariate Poisson-lognormal (PLN), univariate Poisson, and Negative Binomial models. Moreover, the correlations among the latent effects of different severity levels are found significant in both datasets that justifies the importance of jointly modeling crash frequency and severity accounting for correlations.

  11. An efficient parallel sampling technique for Multivariate Poisson-Lognormal model: Analysis with two crash count datasets

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

    Zhan, Xianyuan; Aziz, H. M. Abdul; Ukkusuri, Satish V.

    2015-11-19

    Our study investigates the Multivariate Poisson-lognormal (MVPLN) model that jointly models crash frequency and severity accounting for correlations. The ordinary univariate count models analyze crashes of different severity level separately ignoring the correlations among severity levels. The MVPLN model is capable to incorporate the general correlation structure and takes account of the over dispersion in the data that leads to a superior data fitting. But, the traditional estimation approach for MVPLN model is computationally expensive, which often limits the use of MVPLN model in practice. In this work, a parallel sampling scheme is introduced to improve the original Markov Chainmore » Monte Carlo (MCMC) estimation approach of the MVPLN model, which significantly reduces the model estimation time. Two MVPLN models are developed using the pedestrian vehicle crash data collected in New York City from 2002 to 2006, and the highway-injury data from Washington State (5-year data from 1990 to 1994) The Deviance Information Criteria (DIC) is used to evaluate the model fitting. The estimation results show that the MVPLN models provide a superior fit over univariate Poisson-lognormal (PLN), univariate Poisson, and Negative Binomial models. Moreover, the correlations among the latent effects of different severity levels are found significant in both datasets that justifies the importance of jointly modeling crash frequency and severity accounting for correlations.« less

  12. Fact #938: August 15, 2016 Median All-Electric Vehicle Range Grew from 73 Miles in Model Year 2011 to 83.5 Miles in Model Year 2016- Dataset

    Office of Energy Efficiency and Renewable Energy (EERE)

    Excel file and dataset for Median All-Electric Vehicle Range Grew from 73 Miles in Model Year 2011 to 83.5 Miles in Model Year 2016

  13. 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

  14. 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

  15. National Strategic Unconventional Resource Model | Department of Energy

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

    National Strategic Unconventional Resource Model National Strategic Unconventional Resource Model 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 Energy Policy Act of 2005. The primary function of the first Model was to evaluate varying economic scenarios for four technologies: Surface Mining, Underground Mining, Modified In-Situ, and True In-Situ. In

  16. 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

  17. ARM Airborne Continuous carbon dioxide measurements (Dataset...

    Office of Scientific and Technical Information (OSTI)

    3 DOE Contract Number: DE-AC05-00OR22725 Resource Type: Dataset Data Type: Numeric Data Research Org: Atmospheric Radiation Measurement (ARM) Archive, Oak Ridge National Laboratory ...

  18. ARM: Portable Radiation Package: Orientation Data (Dataset) ...

    Office of Scientific and Technical Information (OSTI)

    Authors: Annette Koontz ; R. Reynolds Publication Date: 2012-11-02 OSTI Identifier: 1150257 DOE Contract Number: DE-AC05-00OR22725 Resource Type: Dataset Data Type: Numeric Data ...

  19. Vaisala CL51 ceilometer (Dataset) | Data Explorer

    Office of Scientific and Technical Information (OSTI)

    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 ...

  20. ARM Airborne Continuous carbon dioxide measurements (Dataset...

    Office of Scientific and Technical Information (OSTI)

    1 DOE Contract Number: DE-AC05-00OR22725 Resource Type: Dataset Data Type: Numeric Data Research Org: Atmospheric Radiation Measurement (ARM) Archive, Oak Ridge National Laboratory ...

  1. ARM: Portable Radiation Package: Broadband Radiometers (Dataset...

    Office of Scientific and Technical Information (OSTI)

    Authors: Annette Koontz ; R. Reynolds Publication Date: 2012-11-02 OSTI Identifier: 1150256 DOE Contract Number: DE-AC05-00OR22725 Resource Type: Dataset Data Type: Numeric Data ...

  2. aoscaps3w (Dataset) | Data Explorer

    Office of Scientific and Technical Information (OSTI)

    OSTI Identifier: 1249183 DOE Contract Number: DE-AC05-00OR22725 Resource Type: Dataset Data Type: Numeric Data Research Org: Atmospheric Radiation Measurement (ARM) Archive, Oak ...

  3. 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

  4. 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.

  5. 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.

  6. 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.

  7. 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.

  8. 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.

  9. 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.

  10. Resources

    Broader source: Energy.gov [DOE]

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

  11. 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...

  12. 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 askUS - Operations Unified Services Portal 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

  13. 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 ... Eastern and Western Wind Datasets WIND Toolkit Solar Integration Datasets ...

  14. 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...

  15. 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

  16. ARM: Infrared/visible sky imager (Dataset) | Data Explorer

    Office of Scientific and Technical Information (OSTI)

    Authors: Annette Koontz ; Victor Morris Publication Date: 2014-05-20 OSTI Identifier: 1181986 DOE Contract Number: DE-AC05-00OR22725 Resource Type: Dataset Data Type: Numeric Data ...

  17. ARM: Soil Temperature and Moisture Profiles (Dataset) | Data...

    Office of Scientific and Technical Information (OSTI)

    Authors: Brian Ermold ; David Cook Publication Date: 2016-02-22 OSTI Identifier: 1256098 DOE Contract Number: DE-AC05-00OR22725 Resource Type: Dataset Data Type: Numeric Data ...

  18. ARM: Vaisala Automatic Weather Station (Dataset) | Data Explorer

    Office of Scientific and Technical Information (OSTI)

    Authors: Donna Holdridge ; Cristina Marinovici ; Jenni Kyrouac Publication Date: 2014-09-08 OSTI Identifier: 1182027 DOE Contract Number: DE-AC05-00OR22725 Resource Type: Dataset ...

  19. Quality Controlled Radiosonde Profile from MC3E (Dataset) | Data...

    Office of Scientific and Technical Information (OSTI)

    Title: Quality Controlled Radiosonde Profile from MC3E The sonde-adjust VAP produces data ... DOE Contract Number: DE-AC05-00OR22725 Resource Type: Dataset Data Type: Numeric Data ...

  20. ARM: Ka ARM Zenith Radar (KAZR): cirrus mode (Dataset) | Data...

    Office of Scientific and Technical Information (OSTI)

    OSTI Identifier: 1025213 DOE Contract Number: DE-AC05-00OR22725 Resource Type: Dataset Data Type: Numeric Data Research Org: Atmospheric Radiation Measurement (ARM) Archive, Oak ...

  1. 3D Covalent Organic Framework Materials database (Dataset) |...

    Office of Scientific and Technical Information (OSTI)

    Citation Details In-Document Search Title: 3D Covalent Organic Framework Materials ... DOE Contract Number: AC02-05CH11231 Resource Type: Dataset Data Type: Numeric Data ...

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

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

    Detailed wind resource information can be found on NREL's Wind Research website. This site provides access to state and international wind resource maps. Wind Integration Datasets ...

  3. 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 Center Resource Center Welcome! The Building Technologies Office (BTO) carries out technology research, development, market stimulation, and regulatory activities through an ongoing process of planning and analysis, implementation, and review. The BTO Resource Center includes links to documents and solution centers that guide the program management process and illustrate associated results and public benefits. Please email btoweb@ee.doe.gov with any questions. Emerging Technologies

  4. 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.

  5. 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 ...

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

    SciTech Connect (OSTI)

    Neary, Vincent S

    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

  7. 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.

  8. AmeriFlux US-Lin Lindcove Orange Orchard (Dataset) | SciTech...

    Office of Scientific and Technical Information (OSTI)

    Sponsoring Org: California Air Resources Board and Citrus Research Board Country of Publication: United States Language: English Word Cloud More Like This Dataset File size NAView ...

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

    Office of Scientific and Technical Information (OSTI)

    humidity from integers - the resolution of the instrument - to fractions of a percent. ... Resource Type: Dataset Data Type: Numeric Data Research Org: Atmospheric Radiation ...

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

    SciTech Connect (OSTI)

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

    1994-07-01

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

  11. 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.

  12. 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.

  13. 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.

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

    SciTech Connect (OSTI)

    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 are 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.

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

    SciTech Connect (OSTI)

    Mathieu, Johanna L.

    2012-05-01

    variability in response. We find that, in general, baseline model error is large. Though some facilities exhibit real DR variability, most observed variability results from baseline model error. In some cases, however, aggregations of C&I facilities exhibit real DR variability, which could create challenges for power system operation. These results have implications for DR program design and deployment. Emerging DR paradigms focus on faster timescale DR. Here, we investigate methods to coordinate aggregations of residential thermostatically controlled loads (TCLs), including air conditioners and refrigerators, to manage frequency and energy imbalances in power systems. We focus on opportunities to centrally control loads with high accuracy but low requirements for sensing and communications infrastructure. Specifically, we compare cases when measured load state information (e.g., power consumption and temperature) is 1) available in real time; 2) available, but not in real time; and 3) not available. We develop Markov Chain models to describe the temperature state evolution of heterogeneous populations of TCLs, and use Kalman filtering for both state and joint parameter/state estimation. We present a look-ahead proportional controller to broadcast control signals to all TCLs, which always remain in their temperature dead-band. Simulations indicate that it is possible to achieve power tracking RMS errors in the range of 0.26–9.3% of steady state aggregated power consumption. Results depend upon the information available for system identification, state estimation, and control. We find that, depending upon the performance required, TCLs may not need to provide state information to the central controller in real time or at all. We also estimate the size of the TCL potential resource; potential revenue from participation in markets; and break-even costs associated with deploying DR-enabling technologies. We find that current TCL energy storage capacity in California is 8–11

  16. 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

  17. Solar Integration National Dataset Toolkit | Grid Modernization...

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

    Integration National Dataset Toolkit NREL is working on a Solar Integration National Dataset (SIND) Toolkit to enable researchers to perform U.S. regional solar generation ...

  18. 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.

  19. 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...

  20. 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.

  1. 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

  2. Evaluation of the St. Lucia geothermal resource: macroeconomic models

    SciTech Connect (OSTI)

    Burris, A.E.; Trocki, L.K.; Yeamans, M.K.; Kolstad, C.D.

    1984-08-01

    A macroeconometric model describing the St. Lucian economy was developed using 1970 to 1982 economic data. Results of macroeconometric forecasts for the period 1983 through 1985 show an increase in gross domestic product (GDP) for 1983 and 1984 with a decline in 1985. The rate of population growth is expected to exceed GDP growth so that a small decline in per capita GDP will occur. We forecast that garment exports will increase, providing needed employment and foreign exchange. To obtain a longer-term but more general outlook on St. Lucia's economy, and to evaluate the benefit of geothermal energy development, we applied a nonlinear programming model. The model maximizes discounted cumulative consumption.

  3. 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.

  4. SU-E-J-257: A PCA Model to Predict Adaptive Changes for Head&neck Patients Based On Extraction of Geometric Features From Daily CBCT Datasets

    SciTech Connect (OSTI)

    Chetvertkov, M; Siddiqui, F; Chetty, I; Kim, J; Kumarasiri, A; Liu, C; Gordon, J

    2015-06-15

    Purpose: Using daily cone beam CTs (CBCTs) to develop principal component analysis (PCA) models of anatomical changes in head and neck (H&N) patients and to assess the possibility of using these prospectively in adaptive radiation therapy (ART). Methods: Planning CT (pCT) images of 4 H&N patients were deformed to model several different systematic changes in patient anatomy during the course of the radiation therapy (RT). A Pinnacle plugin was used to linearly interpolate the systematic change in patient for the 35 fraction RT course and to generate a set of 35 synthetic CBCTs. Each synthetic CBCT represents the systematic change in patient anatomy for each fraction. Deformation vector fields (DVFs) were acquired between the pCT and synthetic CBCTs with random fraction-to-fraction changes were superimposed on the DVFs. A patient-specific PCA model was built using these DVFs containing systematic plus random changes. It was hypothesized that resulting eigenDVFs (EDVFs) with largest eigenvalues represent the major anatomical deformations during the course of treatment. Results: For all 4 patients, the PCA model provided different results depending on the type and size of systematic change in patient’s body. PCA was more successful in capturing the systematic changes early in the treatment course when these were of a larger scale with respect to the random fraction-to-fraction changes in patient’s anatomy. For smaller scale systematic changes, random changes in patient could completely “hide” the systematic change. Conclusion: The leading EDVF from the patientspecific PCA models could tentatively be identified as a major systematic change during treatment if the systematic change is large enough with respect to random fraction-to-fraction changes. Otherwise, leading EDVF could not represent systematic changes reliably. This work is expected to facilitate development of population-based PCA models that can be used to prospectively identify significant

  5. 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...

  6. ARM: X-SAPR Plan Position Indicator scan (Dataset) | Data Explorer

    Office of Scientific and Technical Information (OSTI)

    OSTI Identifier: 1025327 DOE Contract Number: DE-AC05-00OR22725 Resource Type: Dataset Data Type: Numeric Data Research Org: Atmospheric Radiation Measurement (ARM) Archive, Oak ...

  7. ARM: X-SAPR Horizon-to-horizon Range-Height Indicator scan (Dataset...

    Office of Scientific and Technical Information (OSTI)

    OSTI Identifier: 1025326 DOE Contract Number: DE-AC05-00OR22725 Resource Type: Dataset Data Type: Numeric Data Research Org: Atmospheric Radiation Measurement (ARM) Archive, Oak ...

  8. 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.

  9. 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.

  10. 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.

  11. 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...

  12. Soundings from SGP, June 2014 Sonde Comparison Study (Dataset...

    Office of Scientific and Technical Information (OSTI)

    Subject: 54 Environmental Sciences Atmospheric water; Atmospheric temperature; Atmospheric pressure; Horizontal wind Dataset File size NAView Dataset View Dataset DOI: 10.5439...

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

    Office of Scientific and Technical Information (OSTI)

    Availability: ORNL Language: English Subject: 54 Environmental Sciences Atmospheric temperature; Horizontal wind; Precipitation Dataset File size NAView Dataset View Dataset DOI: ...

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

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

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    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...

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

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

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

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

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

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  1. 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...

  2. 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...

  3. 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...

  4. 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...

  5. 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

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

    SciTech Connect (OSTI)

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

    2013-01-07

    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.

  7. 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.

  8. 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

  9. 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.

  10. 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.

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

    SciTech Connect (OSTI)

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

    2015-09-01

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

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

    SciTech Connect (OSTI)

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

    2013-09-30

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

  13. 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.

  14. 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.

  15. 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 ...

  16. 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 ...

  17. 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 ...

  18. 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.

  19. 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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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  7. Data collection for cooperative water resources modeling in the Lower Rio Grande Basin, Fort Quitman to the Gulf of Mexico.

    SciTech Connect (OSTI)

    Passell, Howard David; Pallachula, Kiran; Tidwell, Vincent Carroll; Villalobos, Joshua; Piccinni, Giovanni; Brainard, James Robert; Gerik, Thomas; Morrison, Wendy; Serrat-Capdevila, Aleix; Valdes, Juan; Sheng, Zhuping; Lovato, Rene; Guitron, Alberto; Ennis, Martha Lee; Aparicio, Javier; Newman, Gretchen Carr; Michelsen, Ari M.

    2004-10-01

    Water resource scarcity around the world is driving the need for the development of simulation models that can assist in water resources management. Transboundary water resources are receiving special attention because of the potential for conflict over scarce shared water resources. The Rio Grande/Rio Bravo along the U.S./Mexican border is an example of a scarce, transboundary water resource over which conflict has already begun. The data collection and modeling effort described in this report aims at developing methods for international collaboration, data collection, data integration and modeling for simulating geographically large and diverse international watersheds, with a special focus on the Rio Grande/Rio Bravo. This report describes the basin, and the data collected. This data collection effort was spatially aggregated across five reaches consisting of Fort Quitman to Presidio, the Rio Conchos, Presidio to Amistad Dam, Amistad Dam to Falcon Dam, and Falcon Dam to the Gulf of Mexico. This report represents a nine-month effort made in FY04, during which time the model was not completed.

  8. 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.

  9. 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.

  10. 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.

  11. 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

  12. 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....

  13. PoroTomo Subtask 3.5 GPS Data Analysis (Dataset) | SciTech Connect

    Office of Scientific and Technical Information (OSTI)

    Dataset: PoroTomo Subtask 3.5 GPS Data Analysis Citation Details In-Document Search Title: PoroTomo Subtask 3.5 GPS Data Analysis GPS RINEX Files and Time-Series Authors: Corne Kreemer Publication Date: 2015-01-01 OSTI Identifier: 1176866 Report Number(s): 477 DOE Contract Number: EE0006760 Resource Type: Dataset Data Type: Specialized Mix Research Org: DOE Geothermal Data Repository; University of Nevada Reno Sponsoring Org: USDOE Office of Energy Efficiency and Renewable Energy (EERE),

  14. 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

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

    SciTech Connect (OSTI)

    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.; Rajagopalan, Kirti; Harrison, John A.; Tague, Christina L.; Kalyanaraman, Ananth; Chen, Yong; Guenther, Alex; Leung, Fok-Yan; Leung, L. Ruby; Perleberg, Andrew B.; Yoder, Jonathan; Allen, Elizabeth; Anderson, Sarah; Chandrasekharan, Bhagyam; Malek, Keyvan; Mullis, Tristan; Miller, Cody; Nergui, Tsengel; Poinsatte, Justin; Reyes, Julian; Zhu, Jun; Choate, Janet S.; Jiang, Xiaoyan; Nelson, Roger; Yoon, Jin-Ho; Yorgey, Georgine G.; Johnson, Kristen; Chinnayakanahalli, Kiran J.; Hamlet, Alan F.; Nijssen, Bart; Walden, Von

    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 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 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.

  16. 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

  17. 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...

  18. Fact #888: August 31, 2015 Historical Gas Prices - Dataset |...

    Office of Environmental Management (EM)

    Fact 888: August 31, 2015 Historical Gas Prices - Dataset Excel file and dataset for Historical Gas Prices fotw888web.xlsx (23.12 KB) More Documents & Publications Fact 915: ...

  19. 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 ...

  20. 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.

  1. 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).

  2. PoroTomo Subtask 6.3 Reftek Seismometer Metadata (Dataset) | SciTech

    Office of Scientific and Technical Information (OSTI)

    Connect Reftek Seismometer Metadata Citation Details In-Document Search Title: PoroTomo Subtask 6.3 Reftek Seismometer Metadata Metadata for the Reftek seismometer array deployed at the POROTOMO's Natural Laboratory in Brady Hot Spring, Nevada during the March 2016 testing. Authors: Lesley Parker Publication Date: 2016-03-26 OSTI Identifier: 1261985 Report Number(s): 827 DOE Contract Number: EE0006760 Resource Type: Dataset Data Type: Specialized Mix Research Org: DOE Geothermal Data

  3. 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.

  4. 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

    ) 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.

  5. 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.

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

    Office of Energy Efficiency and Renewable Energy (EERE)

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

  7. 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

  8. 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.

  9. 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.

  10. 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.

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

    Office of Scientific and Technical Information (OSTI)

    University of Nebraska Sponsoring Org: DOEARM Country of Publication: United States Language: English Dataset File size NAView Dataset View Dataset DOI: 10.17190AMF124613

  12. AmeriFlux US-AR2 ARM USDA UNL OSU Woodward Switchgrass 2 (Dataset...

    Office of Scientific and Technical Information (OSTI)

    University of Nebraska Sponsoring Org: DOEARM Country of Publication: United States Language: English Dataset File size NAView Dataset View Dataset DOI: 10.17190AMF1246138

  13. 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.

  14. 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

  15. 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.

  16. 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.

  17. Calibrated Hydrothermal Parameters, Barrow, Alaska, 2013 (Dataset...

    Office of Scientific and Technical Information (OSTI)

    to generate three 1D models of characteristic micro-topographical land-formations, which are capable of simulating present active thaw layer (ALT) from current climate conditions. ...

  18. 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.

  19. 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)

  20. 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).

  1. 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)

  2. 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

  3. 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.

  4. Developing an oil generation model for resource assessment of Bakken formation, Williston Basin

    SciTech Connect (OSTI)

    Charpentier, R.R.; Krystinik, K.B.

    1984-04-01

    A model was developed for oil generation in the Devonian and Mississippian Bakken Formation, which has been proposed as the main hydrocarbon source rock within the Williston basin. The data consisted of formation temperatures and of density, neutron-porosity, resistivity, and gamma-ray logs from more than 250 wells in North Dakota and Montana. The upper and the lower shale members of the Bakken Formation were studied. Regression analysis, analysis of residuals, and cluster, discriminant, and factor analyses were used in an attempt to separate depositional effects--especially variations in organic content-from maturity. Regression and analysis of residuals indicate differences both areally and between the upper and lower members. In the upper member, and less strongly in the lower member, the center of the basin differs from the basin margins in that it has extreme residuals--either high or low. Clustering and residual analyses show roughly the same areal patterns. Inverse relationships, similar to those suggested by other workers, were found between formation temperature and organic content and between density logs and organic content. Also found, though, was that the addition of other factors, such as neutron porosity, helps to indicate organic content. Preliminary results show that it may be possible to model oil generation by using statistical techniques on well-log data. In particular, the model has the potential to refine estimates of the amount of hydrocarbons generated by the Bakken Formation in the Williston basin.

  5. 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

  6. 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...

  7. Human Resources | Argonne National Laboratory

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

    Human Resources

  8. The Wind Integration National Dataset (WIND) Toolkit (Presentation...

    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 NRELPR-5000-64691 2 Content * Motivation * Creation of the WIND Toolkit ...

  9. 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...

  10. 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...

  11. 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.

  12. 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/).

  13. 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.

  14. 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...

  15. 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.

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

    Office of Scientific and Technical Information (OSTI)

    Laboratory Sponsoring Org: DOE-ARM & DOE-ASR Country of Publication: United States Language: English Dataset File size NAView Dataset View Dataset DOI: 10.17190AMF124602

  17. 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

  18. 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

  19. 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)

  20. 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

  1. 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

  2. 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

  3. 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.

  4. 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

  5. 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.

  6. 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...

  7. 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.

  8. Online Resources

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

    online resources 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

  9. 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

  10. Business resources

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

    Business resources Business resources Setting new standards and small business initiatives within NNSA that will contribute to developing and strengthening our strategic partners for national security challenges. Contact Small Business Office (505) 667-4419 Email Broaden your market-find more resources with other labs, organizations LANL encourages business owners to fully research the Laboratory and to also market their services and products to other businesses, small business programs of other

  11. 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...

  12. 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...

  13. Hydrothermal Resources

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

    These geothermal systems can occur in widely diverse geologic settings, sometimes without clear surface manifestations of the underlying resource. In 2008, the U.S. Geological ...

  14. 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

  15. 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.

  16. PACENow Resources | Department of Energy

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

    PACENow Resources PACENow Resources 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

  17. 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

  18. Workplan and Annex: Solar Resource Knowledge Management

    SciTech Connect (OSTI)

    Renne, D.

    2005-01-01

    ''Solar Resource Knowledge Management'' will be a new task under the International Energy Agency's Solar Heating and Cooling Programme. The task development has involved researchers from Germany, France, Switzerland, Spain, Portugal, Italy, Canada, the U.S. that have been engaged in the use of satellite imagery to develop solar resource maps and datasets around the world. The task will address three major areas: (1) ''Benchmarking'' of satellite-based solar resource methods so that resource information derived from approaches developed in one country or based on a specific satellite can be quantitatively intercompared with methods from other countries using different satellites, as well as with ground data; (2) Data archiving and dissemination procedures, especially focusing on access to the data by end users; and (3) basic R&D for improving the reliability and usability of the data, and for examining new types of products important to the solar industry, such as solar resource forecasts.

  19. 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...

  20. 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...

  1. 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.

  2. 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

  3. 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 ...

  4. 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...

  5. 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...

  6. 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...

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  1. 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...

  2. 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...

  3. 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...

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

    Office of Scientific and Technical Information (OSTI)

    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, ...

  5. Fact #847: November 17, 2014 Cars were Over 50% of Light Vehicle Production in 2014- Dataset

    Broader source: Energy.gov [DOE]

    Excel file with dataset for Fact #847: November 17, 2014 Cars were Over 50% of Light Vehicle Production in 2014

  6. Recovering complete and draft population genomes from metagenome datasets

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

    Sangwan, Naseer; Xia, Fangfang; Gilbert, Jack A.

    2016-03-08

    Assembly of metagenomic sequence data into microbial genomes is of fundamental value to improving our understanding of microbial ecology and metabolism by elucidating the functional potential of hard-to-culture microorganisms. Here, we provide a synthesis of available methods to bin metagenomic contigs into species-level groups and highlight how genetic diversity, sequencing depth, and coverage influence binning success. Despite the computational cost on application to deeply sequenced complex metagenomes (e.g., soil), covarying patterns of contig coverage across multiple datasets significantly improves the binning process. We also discuss and compare current genome validation methods and reveal how these methods tackle the problem ofmore » chimeric genome bins i.e., sequences from multiple species. Finally, we explore how population genome assembly can be used to uncover biogeographic trends and to characterize the effect of in situ functional constraints on the genome-wide evolution.« less

  7. 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

  8. 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.

  9. 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)

  10. 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.