--- - access_dt: ~ attributes: ~ cite_metadata: ~ data_qualifier: ~ description: 'Detailed inventory of available renewable energy (RE) resource assessment data. Although the type, amount, and regional distribution of resource information vary by resource, assessments are available for each RE category (conducted by DOE and various private and public organizations). Solar, wind and geothermal resources have assessment products available at numerous scales (national, regional, and site specific). Assessments are available for biomass and hydropower resources at a national level, with only limited information available at the regional and site-specific levels. Ocean energy has the least resource assessment information available. This information was compiled by NREL and initially published in the 2006 Report to Congress on Renewable Energy Resource Assessment Information for the United States (Original document courtesy of archive.org). This datasets was last updated in January, 2011. For each assessment, the inventory includes: data name, data type, source, period of record, spatial coverage, spatial resolution, temporal scale, units, stated accuracy, availability, URL, update frequency, and additional notes.' description_attribution: ~ doi: ~ end_time: ~ href: http://52.38.26.42:8080/dataset/doe-detailed-renewable-energy-resource-assessment-data-inventory-us-9636d.yaml identifier: doe-detailed-renewable-energy-resource-assessment-data-inventory-us-9636d lat_max: ~ lat_min: ~ lon_max: ~ lon_min: ~ name: Detailed Renewable Energy Resource Assessment Data Inventory (US) native_id: ~ processing_level: ~ publication_year: ~ release_dt: ~ scale: ~ scope: ~ spatial_extent: ~ spatial_ref_sys: ~ spatial_res: ~ start_time: ~ temporal_extent: ~ temporal_resolution: ~ type: ~ uri: /dataset/doe-detailed-renewable-energy-resource-assessment-data-inventory-us-9636d url: http://www.nrel.gov/ variables: ~ version: ~ vertical_extent: ~ - access_dt: ~ attributes: ~ cite_metadata: ~ data_qualifier: ~ description: 'The DOE Geothermal Data Repository (GDR) is the submission point for all data collected using funds from the Geothermal Technology Office of the U.S. Department of Energy. It was established to receive, manage and make available all geothermal-relevant data generated from projects funded by the DOE Geothermal Technologies Office. This includes data from GTO-funded projects associated with any portion of the geothermal project life-cycle (exploration, development, operation), as well as data produced by GTO-funded research.' description_attribution: ~ doi: ~ end_time: ~ href: http://52.38.26.42:8080/dataset/doe-doe-geothermal-data-repository-5a93c.yaml identifier: doe-doe-geothermal-data-repository-5a93c lat_max: ~ lat_min: ~ lon_max: ~ lon_min: ~ name: DOE Geothermal Data Repository native_id: ~ processing_level: ~ publication_year: ~ release_dt: ~ scale: ~ scope: ~ spatial_extent: ~ spatial_ref_sys: ~ spatial_res: ~ start_time: ~ temporal_extent: ~ temporal_resolution: ~ type: ~ uri: /dataset/doe-doe-geothermal-data-repository-5a93c url: http://gdr.openei.org/ variables: ~ version: ~ vertical_extent: ~ - access_dt: ~ attributes: ~ cite_metadata: ~ data_qualifier: ~ description: This dataset contains information about hundreds of designated user-facilities and R&D equipment funded by the U.S. Department of Energy and accessible to the private sector. These facilities reside at DOE's description_attribution: ~ doi: ~ end_time: ~ href: http://52.38.26.42:8080/dataset/doe-doe-user-facilities-and-rd-equipment-edfae.yaml identifier: doe-doe-user-facilities-and-rd-equipment-edfae lat_max: ~ lat_min: ~ lon_max: ~ lon_min: ~ name: DOE User Facilities and RD Equipment native_id: ~ processing_level: ~ publication_year: ~ release_dt: ~ scale: ~ scope: ~ spatial_extent: ~ spatial_ref_sys: ~ spatial_res: ~ start_time: ~ temporal_extent: ~ temporal_resolution: ~ type: ~ uri: /dataset/doe-doe-user-facilities-and-rd-equipment-edfae url: http://energy.gov/sites/prod/files/DOE_Facilities_Inventory_2014_16_06.csv variables: ~ version: ~ vertical_extent: ~ - access_dt: ~ attributes: ~ cite_metadata: ~ data_qualifier: ~ description: "This dataset is the United States Oil and Gas Supply, part of the U.S. Energy Information Administration's (EIA's) Annual Energy Outlook (AEO) that highlights changes in the AEO Reference case projections for key energy topics. The Annual Energy Outlook presents a projection and analysis of US energy supply, demand, and prices through 2035. The projections are based on results from EIA's National Energy Modeling System." description_attribution: ~ doi: ~ end_time: ~ href: http://52.38.26.42:8080/dataset/doe-eia-data-2009-united-states-oil-and-gas-supply-0734c.yaml identifier: doe-eia-data-2009-united-states-oil-and-gas-supply-0734c lat_max: 49.3845 lat_min: 24.50600591138299 lon_max: -66.92161367187504 lon_min: -124.76249999999999 name: 'AEO: United States Oil and Gas Supply' native_id: ~ processing_level: ~ publication_year: ~ release_dt: ~ scale: ~ scope: ~ spatial_extent: ~ spatial_ref_sys: ~ spatial_res: ~ start_time: ~ temporal_extent: ~ temporal_resolution: ~ type: ~ uri: /dataset/doe-eia-data-2009-united-states-oil-and-gas-supply-0734c url: http://www.eia.doe.gov/oiaf/archive/aeo09/aeoref_tab.html variables: ~ version: ~ vertical_extent: ~ - access_dt: ~ attributes: ~ cite_metadata: ~ data_qualifier: ~ description: 'This dataset is the 2011 United States Oil and Gas Supply, part of the Annual Energy Outlook that highlights changes in the AEO Reference case projections for key energy topics.' description_attribution: ~ doi: ~ end_time: ~ href: http://52.38.26.42:8080/dataset/doe-eia-data-2011-united-states-oil-and-gas-supply-37fad.yaml identifier: doe-eia-data-2011-united-states-oil-and-gas-supply-37fad lat_max: ~ lat_min: ~ lon_max: ~ lon_min: ~ name: 'EIA Data: 2011 United States Oil and Gas Supply' native_id: ~ processing_level: ~ publication_year: ~ release_dt: ~ scale: ~ scope: ~ spatial_extent: ~ spatial_ref_sys: ~ spatial_res: ~ start_time: ~ temporal_extent: ~ temporal_resolution: ~ type: ~ uri: /dataset/doe-eia-data-2011-united-states-oil-and-gas-supply-37fad url: http://www.eia.doe.gov/forecasts/aeo/ variables: ~ version: ~ vertical_extent: ~ - access_dt: ~ attributes: ~ cite_metadata: ~ data_qualifier: ~ description: 'Provides annual energy generation for all states by fuel source (e.g. coal, gas, solar, wind) in 2009, reported in MWh. Also includes facility-level data (directly from EIA Form 923).' description_attribution: ~ doi: ~ end_time: ~ href: http://52.38.26.42:8080/dataset/doe-energy-generation-by-state-and-technology-2009-69f4f.yaml identifier: doe-energy-generation-by-state-and-technology-2009-69f4f lat_max: ~ lat_min: ~ lon_max: ~ lon_min: ~ name: Energy Generation by State and Technology (2009) native_id: ~ processing_level: ~ publication_year: ~ release_dt: ~ scale: ~ scope: ~ spatial_extent: ~ spatial_ref_sys: ~ spatial_res: ~ start_time: ~ temporal_extent: ~ temporal_resolution: ~ type: ~ uri: /dataset/doe-energy-generation-by-state-and-technology-2009-69f4f url: http://en.openei.org/doe-opendata/dataset/9ef7c547-17fc-4fe8-87e8-ffb27fcaafd9/resource/0c6f15cc-61c7-4340-80de-947fb5d8d1ef/download/2009state.re.gen.by.technology.xls variables: ~ version: ~ vertical_extent: ~ - access_dt: ~ attributes: ~ cite_metadata: ~ data_qualifier: ~ description: "

The Form EIA-411, “Coordinated Bulk Power Supply \r Program Report,” collects information from the Nation’s power system \r planners about the electricity supply, both capacity and energy, that is\r needed to serve current demand and for future growth.

\r \r

The reported data can be used to examine such issues\r as: the reliability of the U.S. electricity system; projections which \r assess future demand growth and plans for constructing new generating \r and transmission facilities; and consequences of unavailable or \r constrained capacity on usage of the existing generation base.

\r \r

Reliability of the electric power system covers \r three areas: the security of the electrical systems; the usage of \r proper operational practices that adhere to mandatory standards; and the\r ability to plan for adequate supply to meet future demand. Data \r collected on the Form EIA-411 focuses on planning for adequacy of \r supply. Separately, the Department of Energy collects information \r covering security and selected operational practices under the Form OE-417, \"Electric Emergency Incident and Disturbance Report.\"

\r \r

The information on this page includes historical \r (with and without projections) and current data (with projections) for \r the reported year:

\r \r

Only projections, but no historical data, are reported for:

\r \r

The data provided here are aggregated by the North \r American Reliability Corporation (NERC) using data provided by the \r regional entities within NERC that oversee the development and \r implementation of the mandatory national and regional reliability \r standards. There are currently eight regions covering all of Canada and\r the contiguous United States plus a small part of Mexico (Baja \r California Norte) in North America. The data presented here is for the \r United States. For data years prior to 2005, 10 NERC regions are \r indicated, however, from 2005 on, there are 8 regions. (See maps at the\r top right). Users should expect some differences in geographic \r reporting coverage from these regional realignments." description_attribution: ~ doi: ~ end_time: ~ href: http://52.38.26.42:8080/dataset/doe-form-eia-411-coordinated-bulk-power-supply-program-report-045b6.yaml identifier: doe-form-eia-411-coordinated-bulk-power-supply-program-report-045b6 lat_max: ~ lat_min: ~ lon_max: ~ lon_min: ~ name: 'Form EIA-411, “Coordinated Bulk Power Supply Program Report,”' native_id: ~ processing_level: ~ publication_year: ~ release_dt: ~ scale: ~ scope: ~ spatial_extent: ~ spatial_ref_sys: ~ spatial_res: ~ start_time: ~ temporal_extent: ~ temporal_resolution: ~ type: ~ uri: /dataset/doe-form-eia-411-coordinated-bulk-power-supply-program-report-045b6 url: http://www.eia.doe.gov/cneaf/electricity/page/eia411/eia411.html variables: ~ version: ~ vertical_extent: ~ - access_dt: ~ attributes: ~ cite_metadata: ~ data_qualifier: ~ description: 'The National Geothermal Data System (NGDS) is a catalog of documents and datasets that provide information about geothermal resources located primarily within the United States (although information from other parts of the world is also included. The catalog, which is funded by the DOE Geothermal Technology Office, is designed to accelerate the development of U.S. geothermal resources, and can be used to determine geothermal potential, guide exploration and development, make data-driven policy decisions, minimize development risks, understand how geothermal activities affect your community and the environment, and guide investments.' description_attribution: ~ doi: ~ end_time: ~ href: http://52.38.26.42:8080/dataset/doe-national-geothermal-data-system-d6d40.yaml identifier: doe-national-geothermal-data-system-d6d40 lat_max: ~ lat_min: ~ lon_max: ~ lon_min: ~ name: National Geothermal Data System native_id: ~ processing_level: ~ publication_year: ~ release_dt: ~ scale: ~ scope: ~ spatial_extent: ~ spatial_ref_sys: ~ spatial_res: ~ start_time: ~ temporal_extent: ~ temporal_resolution: ~ type: ~ uri: /dataset/doe-national-geothermal-data-system-d6d40 url: http://geothermaldata.org variables: ~ version: ~ vertical_extent: ~ - access_dt: ~ attributes: ~ cite_metadata: ~ data_qualifier: ~ description: 'The Oak Ridge National Laboratory (ORNL) National Hydropower Asset Assessment Program (NHAAP) is an integrated energy, water, and ecosystem research and geospatial data integration effort for efficient,' description_attribution: ~ doi: ~ end_time: ~ href: http://52.38.26.42:8080/dataset/doe-national-hydropower-asset-assessment-program-fc5d5.yaml identifier: doe-national-hydropower-asset-assessment-program-fc5d5 lat_max: ~ lat_min: ~ lon_max: ~ lon_min: ~ name: National Hydropower Asset Assessment Program native_id: ~ processing_level: ~ publication_year: ~ release_dt: ~ scale: ~ scope: ~ spatial_extent: ~ spatial_ref_sys: ~ spatial_res: ~ start_time: ~ temporal_extent: ~ temporal_resolution: ~ type: ~ uri: /dataset/doe-national-hydropower-asset-assessment-program-fc5d5 url: http://nhaap.ornl.gov variables: ~ version: ~ vertical_extent: ~ - access_dt: ~ attributes: ~ cite_metadata: ~ data_qualifier: ~ description: "

\r The National Solar Radiation Data Base (NSRDB) is the most comprehensive collection of solar data freely available. The 1991 - 2005 NSRDB contains hourly solar radiation (including global, direct, and diffuse) and meteorological data for 1,454 stations. NCDC's Integrated Surface Data (ISD) were the key data source for this effort, with much of the solar data modeled/estimated based on the surface observations. This dataset builds on the 1961-1990 NSRDB, which contains data for 239 stations. These data are extremely useful in estimating solar energy potential across the U.S., and in estimating heating/cooling requirements for buildings based on heat-gain from solar radiation. More information available at http://www.ncdc.noaa.gov/oa/reds/\r
\r \r
\r \r
\r Files available from either:\r \r
\r \r
" description_attribution: ~ doi: ~ end_time: ~ href: http://52.38.26.42:8080/dataset/doe-national-solar-radiation-data-base-c18c3.yaml identifier: doe-national-solar-radiation-data-base-c18c3 lat_max: ~ lat_min: ~ lon_max: ~ lon_min: ~ name: National Solar Radiation Data Base native_id: ~ processing_level: ~ publication_year: ~ release_dt: ~ scale: ~ scope: ~ spatial_extent: ~ spatial_ref_sys: ~ spatial_res: ~ start_time: ~ temporal_extent: ~ temporal_resolution: ~ type: ~ uri: /dataset/doe-national-solar-radiation-data-base-c18c3 url: http://www.nrel.gov variables: ~ version: ~ vertical_extent: ~ - access_dt: ~ attributes: ~ cite_metadata: ~ data_qualifier: ~ description: "This dataset contains information about the biomass resources generated by county in the United States. It includes the following feedstock categories: crop residues, forest residues, primary mill residues, secondary mill residues, and urban wood waste.\r \r The estimates are based on county-level statistics and/or point-source data gathered from the U.S. Department of Agriculture (USDA), USDA Forest Service, EPA and other organizations, which are further processed using relevant assumptions and conversions." description_attribution: ~ doi: ~ end_time: ~ href: http://52.38.26.42:8080/dataset/doe-nrel-biomethane-gis-data.yaml identifier: doe-nrel-biomethane-gis-data lat_max: ~ lat_min: ~ lon_max: ~ lon_min: ~ name: NREL Biomethane GIS Data native_id: ~ processing_level: ~ publication_year: ~ release_dt: ~ scale: ~ scope: ~ spatial_extent: ~ spatial_ref_sys: ~ spatial_res: ~ start_time: ~ temporal_extent: ~ temporal_resolution: ~ type: ~ uri: /dataset/doe-nrel-biomethane-gis-data url: http://en.openei.org/doe-opendata/dataset/a8a354f3-409c-494e-96ed-e2fbeae323e0/resource/e28e591b-6433-42df-bcd7-a9bf5394f90f/download/biomethane.zip variables: ~ version: ~ vertical_extent: ~ - access_dt: ~ attributes: ~ cite_metadata: ~ data_qualifier: ~ description: 'This dataset is a qualitative assessment of geothermal potential for the U.S. using Enhanced Geothermal Systems (EGS) and based on the levelized cost of electricity with CLASS 1 being most favorable and CLASS 5 being least favorable. This dataset does not include shallow EGS resources located near hydrothermal sites or the U.S. Geological Survey assessment of undiscovered hydrothermal resources. The source data for deep EGS includes temperature at depth from 3 to 10 kilometer (km) were provided by the Southern Methodist University Geothermal Laboratory (Blackwell & Richards, 2009) and the analyses for regions with temperatures ≥150°C were performed by NREL (2009). CLASS 999 regions have temperatures less than 150°C at a 10-km depth and were not assessed for deep EGS potential. Temperature at depth data for deep EGS in Alaska and Hawaii are not currently available.' description_attribution: ~ doi: ~ end_time: ~ href: http://52.38.26.42:8080/dataset/doe-nrel-geothermal-gis-data.yaml identifier: doe-nrel-geothermal-gis-data lat_max: ~ lat_min: ~ lon_max: ~ lon_min: ~ name: NREL Geothermal GIS Data native_id: ~ processing_level: ~ publication_year: ~ release_dt: ~ scale: ~ scope: ~ spatial_extent: ~ spatial_ref_sys: ~ spatial_res: ~ start_time: ~ temporal_extent: ~ temporal_resolution: ~ type: ~ uri: /dataset/doe-nrel-geothermal-gis-data url: http://en.openei.org/doe-opendata/dataset/c08349a6-9aba-4afd-946c-eac9d560bc4e/resource/5bbbb63f-b5c0-45be-929c-d3f5e5816bfd/download/lower48geothermalhighresolution.zip variables: ~ version: ~ vertical_extent: ~ - access_dt: ~ attributes: ~ cite_metadata: ~ data_qualifier: ~ description: "_Abstract:_ Monthly and annual average solar resource potential for the lower 48 states of the United States of America.\r \r _Purpose:_ Provide information on the solar resource potential for the United States of America lower 48 states. The insolation values represent the average solar energy available to a flat plate collector, such as a photovoltaic panel, oriented due south at an angle from horizontal equal to the latitude of the collector location.\r \r _Supplemental Information:_ This data provides monthly average and annual average daily total solar resource averaged over surface cells of approximatley 40 km by 40 km in size. This data was developed from the Climatological Solar Radiation (CSR) Model. The CSR model was developed by the National Renewable Energy Laboratory for the U.S. Department of Energy. Specific information about this model can be found in Maxwell, George and Wilcox (1998) and George and Maxwell (1999). This model uses information on cloud cover, atmostpheric water vapor and trace gases, and the amount of aerosols in the atmosphere to calculate the monthly average daily total insolation (sun and sky) falling on a horizontal surface. The cloud cover data used as input to the CSR model are an 7-year histogram (1985-1991) of monthly average cloud fraction provided for grid cells of approximately 40km x 40km in size. Thus, the spatial resolution of the CSR model output is defined by this database. The data are obtained from the National Climatic Data Center in Ashville, North Carolina, and were developed from the U.S. Air Force Real Time Nephanalysis (RTNEPH) program. Atmospheric water vapor, trace gases, and aerosols are derived from a variety of sources. The procedures for converting the collector at latitude tilt are described in Marion and Wilcox (1994). Where possible, existing ground measurement stations are used to validate the data. Nevertheless, there is uncertainty associated with the meterological input to the model, since some of the input parameters are not avalible at a 40km resolution. As a result, it is believed that the modeled values are accurate to approximately 10% of a true measured value within the grid cell. Due to terrain effects and other micoclimate influences, the local cloud cover can vary significantly even within a single grid cell. Furthermore, the uncertainty of the modeled estimates increase with distance from reliable measurement sources and with the complexity of the terrain. \r Units are in kilowatt hours per meter squared per day.\r \r OtherCitation Details:\r \r George, R, and E. Maxwell, 1999: \"High-Resolution Maps of Solar Collector Performance Using A Climatological Solar Radiation Model\", Proceedings of the 1999 Annual Conference, American Solar Energy Society, Portland, ME. \r \r Maxwell, E, R. George and S. Wilcox, \"A Climatological Solar Radiation Model\", Proceedings of the 1998 Annual Conference, American Solar Energy Society, Albuquerque NM. \r \r Marion, William and Stephen Wilcox, 1994: \"Solar Radiation Data Manual for Flat-plate and Concentrating Collectors\". NREL/TP-463-5607, National Renewable Energy Laboratory, 1617 Cole Boulevard, Golden, CO 80401.\r \r ### License Info\r DISCLAIMER NOTICE\r This GIS data was developed by the National Renewable Energy Laboratory (\"NREL\"), which is operated by the Alliance for Sustainable Energy, LLC for the U.S. Department of Energy (\"DOE\"). The user is granted the right, without any fee or cost, to use, copy, modify, alter, enhance and distribute this data for any purpose whatsoever, provided that this entire notice appears in all copies of the data. Further, the user of this data agrees to credit NREL in any publications or software that incorporate or use the data.\r \r Access to and use of the GIS data shall further impose the following obligations on the User. The names DOE/NREL may not be used in any advertising or publicity to endorse or promote any product or commercial entity using or incorporating the GIS data unless specific written authorization is obtained from DOE/NREL. The User also understands that DOE/NREL shall not be obligated to provide updates, support, consulting, training or assistance of any kind whatsoever with regard to the use of the GIS data.\r \r THE GIS DATA IS PROVIDED \"AS IS\" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL DOE/NREL BE LIABLE FOR ANY SPECIAL, INDIRECT OR CONSEQUENTIAL DAMAGES OR ANY DAMAGES WHATSOEVER, INCLUDING BUT NOT LIMITED TO CLAIMS ASSOCIATED WITH THE LOSS OF DATA OR PROFITS, WHICH MAY RESULT FROM AN ACTION IN CONTRACT, NEGLIGENCE OR OTHER TORTIOUS CLAIM THAT ARISES OUT OF OR IN CONNECTION WITH THE ACCESS OR USE OF THE GIS DATA.\r \r The User acknowledges that access to the GIS data is subject to U.S. Export laws and regulations and any use or transfer of the GIS data must be authorized under those regulations. The User shall not use, distribute, transfer, or transmit GIS data or any products incorporating the GIS data except in compliance with U.S. export regulations. If requested by DOE/NREL, the User agrees to sign written assurances and other export-related documentation as may be required to comply with U.S. export regulations." description_attribution: ~ doi: ~ end_time: ~ href: http://52.38.26.42:8080/dataset/doe-nrel-gis-data-continental-united-states-photovoltaic-low-resolution-d2414.yaml identifier: doe-nrel-gis-data-continental-united-states-photovoltaic-low-resolution-d2414 lat_max: ~ lat_min: ~ lon_max: ~ lon_min: ~ name: 'NREL GIS Data: Continental United States Photovoltaic Low Resolution' native_id: ~ processing_level: ~ publication_year: ~ release_dt: ~ scale: ~ scope: ~ spatial_extent: ~ spatial_ref_sys: ~ spatial_res: ~ start_time: ~ temporal_extent: ~ temporal_resolution: ~ type: ~ uri: /dataset/doe-nrel-gis-data-continental-united-states-photovoltaic-low-resolution-d2414 url: http://www.nrel.gov/gis/cfm/input.cfm variables: ~ version: ~ vertical_extent: ~ - access_dt: ~ attributes: ~ cite_metadata: ~ data_qualifier: ~ description: "Biomass resource potential for the lower 48 states of the United States of America.\r \r Estimated technical biomass resources available in the United States by county. The following feedstock categories are considered for this study: crop residues, methane emissions from manure management, methane emissions from landfills and wastewater treatment facilities, forest residues, primary and secondary mill residues, urban wood waste, and dedicated energy crops. \r \r Units: MSW is in US wet tons (not dry tons like the rest) Landfill, manure and wastewater are metric tonness of CH4 Crop, forest, primary and secondary mill, and urban wastes are all metric dry tonnes (or Bone Dry Tonnes -- BDT)" description_attribution: ~ doi: ~ end_time: ~ href: http://52.38.26.42:8080/dataset/doe-nrel-gis-data-united-states-high-resolution-biomass-2008-607c1.yaml identifier: doe-nrel-gis-data-united-states-high-resolution-biomass-2008-607c1 lat_max: ~ lat_min: ~ lon_max: ~ lon_min: ~ name: United States High Resolution Biomass (2008) native_id: ~ processing_level: ~ publication_year: ~ release_dt: ~ scale: ~ scope: ~ spatial_extent: ~ spatial_ref_sys: ~ spatial_res: ~ start_time: ~ temporal_extent: ~ temporal_resolution: ~ type: ~ uri: /dataset/doe-nrel-gis-data-united-states-high-resolution-biomass-2008-607c1 url: http://www.nrel.gov/gis/cfm/input.cfm variables: ~ version: ~ vertical_extent: ~ - access_dt: ~ attributes: ~ cite_metadata: ~ data_qualifier: ~ description: "GIS data for offshore wind speed (meters/second). Specified to Exclusive Economic Zones (EEZ).\r \r Wind resource based on NOAA blended sea winds and monthly wind speed at 30km resolution, using a 0.11 wind sheer to extrapolate 10m - 90m. Annual average >= 10 months of data, no nulls." description_attribution: ~ doi: ~ end_time: ~ href: http://52.38.26.42:8080/dataset/doe-nrel-global-offshore-wind-gis-data.yaml identifier: doe-nrel-global-offshore-wind-gis-data lat_max: 77.46673759525017 lat_min: -60.24315809822545 lon_max: 176.3486519999998 lon_min: -157.8093750000001 name: NREL Global Offshore Wind GIS Data native_id: ~ processing_level: ~ publication_year: ~ release_dt: ~ scale: ~ scope: ~ spatial_extent: ~ spatial_ref_sys: ~ spatial_res: ~ start_time: ~ temporal_extent: ~ temporal_resolution: ~ type: ~ uri: /dataset/doe-nrel-global-offshore-wind-gis-data url: http://en.openei.org/doe-opendata/dataset/b072d774-4df5-4489-8b6c-a35d2bdaa78e/resource/efede2a1-aa2e-489e-89c0-c8e424da199f/download/globaloffshorewind.zip variables: ~ version: ~ vertical_extent: ~ - access_dt: ~ attributes: ~ cite_metadata: ~ data_qualifier: ~ description: "This dataset contains information about the biomass resources generated by county in the United States. It includes the following feedstock categories: crop residues, forest residues, primary mill residues, secondary mill residues, and urban wood waste.\r \r The estimates are based on county-level statistics and/or point-source data gathered from the U.S. Department of Agriculture (USDA), USDA Forest Service, EPA and other organizations, which are further processed using relevant assumptions and conversions." description_attribution: ~ doi: ~ end_time: ~ href: http://52.38.26.42:8080/dataset/doe-nrel-solid-biomass-gis-data.yaml identifier: doe-nrel-solid-biomass-gis-data lat_max: ~ lat_min: ~ lon_max: ~ lon_min: ~ name: NREL Solid Biomass GIS Data native_id: ~ processing_level: ~ publication_year: ~ release_dt: ~ scale: ~ scope: ~ spatial_extent: ~ spatial_ref_sys: ~ spatial_res: ~ start_time: ~ temporal_extent: ~ temporal_resolution: ~ type: ~ uri: /dataset/doe-nrel-solid-biomass-gis-data url: http://en.openei.org/doe-opendata/dataset/2c9715e5-fdb9-431c-ac7a-c64da599d5de/resource/4fa4254c-bbc6-4b9e-9fd9-5127398c3426/download/solidbiomass.zip variables: ~ version: ~ vertical_extent: ~ - access_dt: ~ attributes: ~ cite_metadata: ~ data_qualifier: ~ description: "This shapefile represents annual average net power estimates.\r \r The OTEC Plant model predicts the net power production at a specific location, given three inputs: surface temperature (°C), depth (m), and difference between warm surface water temperature and cold deep sea water temperature (ΔT in °C) at the given depth, relative to the surface temperature.\r \r In order to normalize values for the purposes of visualization of the OTEC resource around the world, a baseline plant design was used. The baseline 100MW Net Power design has been optimized for conditions indicative of the Hawai‘i OTEC resource. As such, power output as described by the results of this study is not optimized for local conditions (except in parts of Hawai’i), but does provide guidance for site selection. Given the nominal plant power output of 100MW based on a competitive cost of electricity (Hawai’i), any output exceeding this value represents significant potential. A large area of predicted 100 MW+ net power exists in many locations around the world, especially in areas with high energy costs.\r \r Data were processed and converted to shapefile format by NREL for the [Ocean Thermal Extractable Energy Visualization](http://www.osti.gov/bridge/purl.cover.jsp?purl=/1055457/1055457.pdf)\r \r ### License Info\r This GIS data was developed by the National Renewable Energy Laboratory (\"NREL\"), which is operated by the Alliance for Sustainable Energy, LLC for the U.S. Department of Energy (\"DOE\"). The user is granted the right, without any fee or cost, to use, copy, modify, alter, enhance and distribute this data for any purpose whatsoever, provided that this entire notice appears in all copies of the data. Further, the user of this data agrees to credit NREL in any publications or software that incorporate or use the data.\r \r Access to and use of the GIS data shall further impose the following obligations on the User. The names DOE/NREL may not be used in any advertising or publicity to endorse or promote any product or commercial entity using or incorporating the GIS data unless specific written authorization is obtained from DOE/NREL. The User also understands that DOE/NREL shall not be obligated to provide updates, support, consulting, training or assistance of any kind whatsoever with regard to the use of the GIS data.\r \r THE GIS DATA IS PROVIDED \"AS IS\" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL DOE/NREL BE LIABLE FOR ANY SPECIAL, INDIRECT OR CONSEQUENTIAL DAMAGES OR ANY DAMAGES WHATSOEVER, INCLUDING BUT NOT LIMITED TO CLAIMS ASSOCIATED WITH THE LOSS OF DATA OR PROFITS, WHICH MAY RESULT FROM AN ACTION IN CONTRACT, NEGLIGENCE OR OTHER TORTIOUS CLAIM THAT ARISES OUT OF OR IN CONNECTION WITH THE ACCESS OR USE OF THE GIS DATA.\r \r The User acknowledges that access to the GIS data is subject to U.S. Export laws and regulations and any use or transfer of the GIS data must be authorized under those regulations. The User shall not use, distribute, transfer, or transmit GIS data or any products incorporating the GIS data except in compliance with U.S. export regulations. If requested by DOE/NREL, the User agrees to sign written assurances and other export-related documentation as may be required to comply with U.S. export regulations." description_attribution: ~ doi: ~ end_time: ~ href: http://52.38.26.42:8080/dataset/doe-ocean-thermal-energy-conversion-otec-net-power-annual-average-e7f3c.yaml identifier: doe-ocean-thermal-energy-conversion-otec-net-power-annual-average-e7f3c lat_max: ~ lat_min: ~ lon_max: ~ lon_min: ~ name: 'Ocean Thermal Energy Conversion (OTEC) - Net Power (Annual Average)' native_id: ~ processing_level: ~ publication_year: ~ release_dt: ~ scale: ~ scope: ~ spatial_extent: ~ spatial_ref_sys: ~ spatial_res: ~ start_time: ~ temporal_extent: ~ temporal_resolution: ~ type: ~ uri: /dataset/doe-ocean-thermal-energy-conversion-otec-net-power-annual-average-e7f3c url: http://www.nrel.gov variables: ~ version: ~ vertical_extent: ~ - access_dt: ~ attributes: ~ cite_metadata: ~ data_qualifier: ~ description: "This shapefile represents seasonal summer average net power estimates.\r \r The OTEC Plant model predicts the net power production at a specific location, given three inputs: surface temperature (°C), depth (m), and difference between warm surface water temperature and cold deep sea water temperature (ΔT in °C) at the given depth, relative to the surface temperature.\r \r In order to normalize values for the purposes of visualization of the OTEC resource around the world, a baseline plant design was used. The baseline 100MW Net Power design has been optimized for conditions indicative of the Hawai‘i OTEC resource. As such, power output as described by the results of this study is not optimized for local conditions (except in parts of Hawai’i), but does provide guidance for site selection. Given the nominal plant power output of 100MW based on a competitive cost of electricity (Hawai’i), any output exceeding this value represents significant potential. A large area of predicted 100 MW+ net power exists in many locations around the world, especially in areas with high energy costs.\r \r Data were processed and converted to shapefile format by NREL for the [Ocean Thermal Extractable Energy Visualization](http://www.osti.gov/bridge/purl.cover.jsp?purl=/1055457/1055457.pdf)\r \r ### License Info\r This GIS data was developed by the National Renewable Energy Laboratory (\"NREL\"), which is operated by the Alliance for Sustainable Energy, LLC for the U.S. Department of Energy (\"DOE\"). The user is granted the right, without any fee or cost, to use, copy, modify, alter, enhance and distribute this data for any purpose whatsoever, provided that this entire notice appears in all copies of the data. \r \r Further, the user of this data agrees to credit NREL in any publications or software that incorporate or use the data. Access to and use of the GIS data shall further impose the following obligations on the User. The names DOE/NREL may not be used in any advertising or publicity to endorse or promote any product or commercial entity using or incorporating the GIS data unless specific written authorization is obtained from DOE/NREL. The User also understands that DOE/NREL shall not be obligated to provide updates, support, consulting, training or assistance of any kind whatsoever with regard to the use of the GIS data.\r \r THE GIS DATA IS PROVIDED \"AS IS\" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL DOE/NREL BE LIABLE FOR ANY SPECIAL, INDIRECT OR CONSEQUENTIAL DAMAGES OR ANY DAMAGES WHATSOEVER, INCLUDING BUT NOT LIMITED TO CLAIMS ASSOCIATED WITH THE LOSS OF DATA OR PROFITS, WHICH MAY RESULT FROM AN ACTION IN CONTRACT, NEGLIGENCE OR OTHER TORTIOUS CLAIM THAT ARISES OUT OF OR IN CONNECTION WITH THE ACCESS OR USE OF THE GIS DATA.\r \r The User acknowledges that access to the GIS data is subject to U.S. Export laws and regulations and any use or transfer of the GIS data must be authorized under those regulations. The User shall not use, distribute, transfer, or transmit GIS data or any products incorporating the GIS data except in compliance with U.S. export regulations. If requested by DOE/NREL, the User agrees to sign written assurances and other export-related documentation as may be required to comply with U.S. export regulations." description_attribution: ~ doi: ~ end_time: ~ href: http://52.38.26.42:8080/dataset/doe-ocean-thermal-energy-conversion-otec-net-power-summer-average-dfb1b.yaml identifier: doe-ocean-thermal-energy-conversion-otec-net-power-summer-average-dfb1b lat_max: ~ lat_min: ~ lon_max: ~ lon_min: ~ name: 'Ocean Thermal Energy Conversion (OTEC) - Net Power (Summer Average)' native_id: ~ processing_level: ~ publication_year: ~ release_dt: ~ scale: ~ scope: ~ spatial_extent: ~ spatial_ref_sys: ~ spatial_res: ~ start_time: ~ temporal_extent: ~ temporal_resolution: ~ type: ~ uri: /dataset/doe-ocean-thermal-energy-conversion-otec-net-power-summer-average-dfb1b url: http://www.nrel.gov variables: ~ version: ~ vertical_extent: ~ - access_dt: ~ attributes: ~ cite_metadata: ~ data_qualifier: ~ description: "This shapefile represents seasonal winter average net power estimates.\r \r The OTEC Plant model predicts the net power production at a specific location, given three inputs: surface temperature (°C), depth (m), and difference between warm surface water temperature and cold deep sea water temperature (ΔT in °C) at the given depth, relative to the surface temperature.\r \r In order to normalize values for the purposes of visualization of the OTEC resource around the world, a baseline plant design was used. The baseline 100MW Net Power design has been optimized for conditions indicative of the Hawai‘i OTEC resource. As such, power output as described by the results of this study is not optimized for local conditions (except in parts of Hawai’i), but does provide guidance for site selection. Given the nominal plant power output of 100MW based on a competitive cost of electricity (Hawai’i), any output exceeding this value represents significant potential. A large area of predicted 100 MW+ net power exists in many locations around the world, especially in areas with high energy costs.\r \r Data were processed and converted to shapefile format by NREL for the [Ocean Thermal Extractable Energy Visualization](http://www.osti.gov/bridge/purl.cover.jsp?purl=/1055457/1055457.pdf)\r \r ### License Info\r This GIS data was developed by the National Renewable Energy Laboratory (\"NREL\"), which is operated by the Alliance for Sustainable Energy, LLC for the U.S. Department of Energy (\"DOE\"). The user is granted the right, without any fee or cost, to use, copy, modify, alter, enhance and distribute this data for any purpose whatsoever, provided that this entire notice appears in all copies of the data. \r \r Further, the user of this data agrees to credit NREL in any publications or software that incorporate or use the data. Access to and use of the GIS data shall further impose the following obligations on the User. The names DOE/NREL may not be used in any advertising or publicity to endorse or promote any product or commercial entity using or incorporating the GIS data unless specific written authorization is obtained from DOE/NREL. The User also understands that DOE/NREL shall not be obligated to provide updates, support, consulting, training or assistance of any kind whatsoever with regard to the use of the GIS data.\r \r THE GIS DATA IS PROVIDED \"AS IS\" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL DOE/NREL BE LIABLE FOR ANY SPECIAL, INDIRECT OR CONSEQUENTIAL DAMAGES OR ANY DAMAGES WHATSOEVER, INCLUDING BUT NOT LIMITED TO CLAIMS ASSOCIATED WITH THE LOSS OF DATA OR PROFITS, WHICH MAY RESULT FROM AN ACTION IN CONTRACT, NEGLIGENCE OR OTHER TORTIOUS CLAIM THAT ARISES OUT OF OR IN CONNECTION WITH THE ACCESS OR USE OF THE GIS DATA.\r \r The User acknowledges that access to the GIS data is subject to U.S. Export laws and regulations and any use or transfer of the GIS data must be authorized under those regulations. The User shall not use, distribute, transfer, or transmit GIS data or any products incorporating the GIS data except in compliance with U.S. export regulations. If requested by DOE/NREL, the User agrees to sign written assurances and other export-related documentation as may be required to comply with U.S. export regulations." description_attribution: ~ doi: ~ end_time: ~ href: http://52.38.26.42:8080/dataset/doe-ocean-thermal-energy-conversion-otec-net-power-winter-average-37233.yaml identifier: doe-ocean-thermal-energy-conversion-otec-net-power-winter-average-37233 lat_max: ~ lat_min: ~ lon_max: ~ lon_min: ~ name: 'Ocean Thermal Energy Conversion (OTEC) - Net Power (Winter Average)' native_id: ~ processing_level: ~ publication_year: ~ release_dt: ~ scale: ~ scope: ~ spatial_extent: ~ spatial_ref_sys: ~ spatial_res: ~ start_time: ~ temporal_extent: ~ temporal_resolution: ~ type: ~ uri: /dataset/doe-ocean-thermal-energy-conversion-otec-net-power-winter-average-37233 url: http://www.nrel.gov variables: ~ version: ~ vertical_extent: ~ - access_dt: ~ attributes: ~ cite_metadata: ~ data_qualifier: ~ description: "Open Energy Information (OpenEI) is a knowledge-sharing online community dedicated to connecting people with the latest information and data on energy resources from around the world. Created in partnership with the United States Department of Energy and federal laboratories across the nation, OpenEI offers access to real-time data and unique visualizations that will help you find the answers you need to make better, more informed decisions with structured linked open data and information in widely-used formats such as API, CSV, XML, and XLS. OpenEI is making a profound impact on the world’s energy transformation by providing data access, generative data use, key knowledge derivation tools, and synthetic datasets that will help inform policy, purchase, build, and business decisions. This community-based platform is a core competency for the U.S. Department of Energy and its laboratories, providing a high-degree of value for building knowledge and datasets, connecting and structuring data via linked open data standards, and serving as the place for the world to contribute and utilize energy data, APIs and web-services.\r \r OpenEI is the backbone to the DOE Data Catalog and federates all DOE-sponsored data upwards to Data.gov in order to enable data transparency and access." description_attribution: ~ doi: ~ end_time: ~ href: http://52.38.26.42:8080/dataset/doe-open-energy-information-openei-org-29f7e.yaml identifier: doe-open-energy-information-openei-org-29f7e lat_max: 83.63846772837344 lat_min: -73.4303467637361 lon_max: 174.9423999999999 lon_min: -165.5437300000001 name: Open Energy Information (OpenEI.org) native_id: ~ processing_level: ~ publication_year: ~ release_dt: ~ scale: ~ scope: ~ spatial_extent: ~ spatial_ref_sys: ~ spatial_res: ~ start_time: ~ temporal_extent: ~ temporal_resolution: ~ type: ~ uri: /dataset/doe-open-energy-information-openei-org-29f7e url: http://en.openei.org/wiki/Main_Page variables: ~ version: ~ vertical_extent: ~