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Renewable Energy Potential Model: Geothermal Supply Curves
The Renewable Energy Potential (reV) model is a geospatial platform for estimating technical potential and developing renewable energy supply curves, initially developed for wind and solar technologies. The model evaluates deployment constraints, considering land use, environmenta...
Trainor-Guitton, W. et al National Renewable Energy Laboratory
Aug 21, 2023
3 Resources
0 Stars
Publicly accessible
3 Resources
0 Stars
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GeoRePORT Protocol and Spreadsheet Template
The Geothermal Resource Portfolio Optimization and Reporting Technique (GeoRePORT) was developed with funding from the U.S. Department of Energy Geothermal Technologies Office to assist in identifying and pursuing long-term investment strategies through the development of a resour...
Kolker, A. et al National Renewable Energy Laboratory
Sep 30, 2019
5 Resources
0 Stars
Publicly accessible
5 Resources
0 Stars
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GeoVision: Harnessing the Heat Beneath Our Feet Analysis Inputs and Results
This submission includes input and results data from analysis done as part of the Geothermal Technology Office's Geothermal Vision Study (GeoVision). The submission includes data for both analysis of the electricity sector and the heating and cooling sector. For the electricity se...
Geothermal Technologies Office, U. National Renewable Energy Laboratory
Sep 30, 2019
16 Resources
0 Stars
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16 Resources
0 Stars
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Bhutan Solar Resources
GIS data for Bhutan's direct normal irradiance (DNI), global horizontal irradiance (GHI), and latitude tilt irradiance. Researchers from NREL and the Atmospheric Sciences Research Center (ASRC) at the State University of New York (SUNY) at Albany developed the estimates of Bhutans...
Heimiller, D. et al National Renewable Energy Laboratory
Nov 25, 2014
4 Resources
0 Stars
Publicly accessible
4 Resources
0 Stars
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GeoThermalCloud: Cloud Fusion of Big Data and Multi-Physics Models using Machine Learning for Discovery, Exploration and Development of Hidden Geothermal Resources
Geothermal exploration and production are challenging, expensive and risky. The GeoThermalCloud uses Machine Learning to predict the location of hidden geothermal resources. This submission includes a training dataset for the GeoThermalCloud neural network. Machine Learning for Di...
Ahmmed, B. Stanford University
Apr 04, 2022
3 Resources
0 Stars
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3 Resources
0 Stars
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Utah FORGE: High-Resolution DAS Microseismic Data from Well 78-32
This regards a high-resolution DAS microseismic dataset produced by Silixa from Utah FORGE Phase 2C seismic monitoring well 78-32 during stimulation testing of well 58-32. It is a very large dataset and as such it is currently not directly available on GDR. However, it is availabl...
Martin, T. and Nash, G. Energy and Geoscience Institute at the University of Utah
Oct 20, 2019
5 Resources
0 Stars
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5 Resources
0 Stars
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Sedimentary Geothermal Feasibility in Eastern Nevada and Millard County, Utah Well Databases
In order to gather data to assess sedimentary geothermal feasibility in Nevada and Utah, state oil and gas and geothermal databases were serached for well files and well logs. Well data from the Nevada Bureau of Mines and Geology oil and gas and geothermal databases was mined for ...
Taverna, N. National Renewable Energy Laboratory
Nov 30, 2019
12 Resources
0 Stars
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12 Resources
0 Stars
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Opportunities for Solar for Industrial Process Heat in the United States
Figure data for report on opportunities for solar technologies to provide industrial process heat in the United States (NREL/TP-6A20-77760).
McMillan. . et al National Renewable Energy Laboratory
Dec 24, 2020
22 Resources
0 Stars
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22 Resources
0 Stars
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Three-Component Long Offset Surface Seismic Survey Data Used to Find Large Aperture Fractures in Geothermal Resources San Emidio Geothermal Resource Area
P and S-wave datasets and associated report studying the ability to use three-component long offset surface seismic surveys to find large aperture fractures in geothermal resources at the San Emidio geothermal resource area in Washoe County, Nevada.
Warren, I. U.S. Geothermal Inc.
Sep 15, 2010
4 Resources
0 Stars
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4 Resources
0 Stars
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PoroTomo Natural Laboratory Horizontal and Vertical Distributed Acoustic Sensing Data
This dataset includes links to the PoroTomo DAS data in both SEG-Y and hdf5 (via h5py and HSDS with h5pyd) formats with tutorial notebooks for use. Data are hosted on Amazon Web Services (AWS) Simple Storage Service (S3) through the Open Energy Data Initiative (OEDI). Also include...
Feigl, K. et al University of Wisconsin
Mar 29, 2016
20 Resources
0 Stars
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20 Resources
0 Stars
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Renewable Energy Potential Model: Hawaii Geothermal Supply Curves
This dataset extends the development of the Renewable Energy Potential (reV) model to include geothermal energy, with a specific focus on Hawaii. Provided here are the results of two scenarios that were modeled for geothermal energy in Hawaii: binary enhanced geothermal systems (E...
Trainor-Guitton, W. et al National Renewable Energy Laboratory
Jan 13, 2025
2 Resources
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2 Resources
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TEAMER: Tidal Energy Resource Modeling Assessment and Environmental Biological Analysis in Turnagain Arm, Cook Inlet, AK
The deployment and operation of a floating and/or submerged tidal technology in the United States coastal water require characterizing tidal stream resource potential and assessing environmental conditions and satisfying all environmental permitting requirements. The waters of Coo...
Yang, Z. et al Pacific Northwest National Laboratory
Jun 09, 2025
2 Resources
0 Stars
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2 Resources
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Geothermal Project NEPA Database
During the 2013 fiscal year, the National Renewable Energy Laboratory (NREL) developed the Geothermal National Environmental Policy Act (NEPA) Database with funding provided by the U.S. Department of Energy (DOE) Geothermal Technologies Office (GTO). The information in the databas...
Young, K. and Levine, A. National Renewable Energy Laboratory
Sep 30, 2014
4 Resources
0 Stars
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4 Resources
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Rooftop Photovoltaic Technical Potential in the United States
This data submission contains a workbook with data, and three sets of shapefiles that correspond to that data. Contact: Meghan Mooney, Meghan.Mooney@nrel.gov The workbook contains data that underlies the 2016 technical report Rooftop Solar Photovoltaic Technical Potentia...
Gagnon. . et al National Renewable Energy Laboratory
Nov 05, 2019
5 Resources
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5 Resources
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EGS Collab Experiment 1 Stimulation Data
Stimulation data from Experiment 1 of EGS Collab, which occurred on the 4850 ft level of the Sanford Underground Research Facility (SURF). A detailed description of the stimulation data is provided in the StimulationDataNotes.docx and is also available on the EGS Collab Wiki. A M...
Knox, H. et al Pacific Northwest National Laboratory
Aug 13, 2020
6 Resources
0 Stars
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6 Resources
0 Stars
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Biomass for Carbon Removal and Storage (BiCRS) Variables Matrices
The Biomass for Carbon Removal and Storage (BiCRS) Variables Matrices provide insights related to measured, monitored, reported and verified (MMRV) components (variables) across a BiCRS value chain. Suggested variable values and components to be measured with literature references...
Harman-Ware. . et al National Laboratory of the Rockies
Dec 18, 2025
1 Resources
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1 Resources
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US Low-Temperature EGS Resource Potential Estimate
Shapefile of shallow, low-temperature EGS resources for the United States, and accompanying paper (submitted to GRC 2016) describing the methodology and analysis. These data are part of a very rough estimate created for use in the U.S. Department of Energy Geothermal Technology O...
Mullane, M. et al National Renewable Energy Laboratory
Jun 30, 2016
2 Resources
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2 Resources
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Sup3rWind Data (CONUS)
This data contains paired European Centre for Medium-Range Weather Forecasts Reanalysis version 5 (ERA5) and the Wind Integration National Dataset Toolkit (WTK) images for 2007 and 2010 over two regions in the US, with domain sizes ~800x800 (latitudes from 25.89 to 41.58, and long...
Sinha, S. et al National Renewable Energy Laboratory (NREL)
Jul 16, 2024
6 Resources
0 Stars
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6 Resources
0 Stars
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U.S. Great Lakes Offshore Windspeed 90m Height High Resolution
The data here provide an estimate of annual average wind speed at 90 meter height above surface for specific offshore regions of the United States. This dataset is a geographic shapefile generated from the original raster data. The original raster data resolution is a 200-meter ce...
Heimiller, D. et al National Renewable Energy Laboratory
Nov 25, 2014
5 Resources
0 Stars
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5 Resources
0 Stars
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U.S. Hawaii Offshore Windspeed 90m Height High Resolution
The data here provide an estimate of annual average wind speed at 90 meter height above surface for specific offshore regions of the United States. This dataset is a geographic shapefile generated from the original raster data. The original raster data resolution is a 200-meter ce...
Heimiller, D. et al National Renewable Energy Laboratory
Nov 25, 2014
5 Resources
0 Stars
Publicly accessible
5 Resources
0 Stars
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U.S. Pacific Coast Offshore Windspeed 90m Height High Resolution
The data here provide an estimate of annual average wind speed at 90 meter height above surface for specific offshore regions of the United States. This dataset is a geographic shapefile generated from the original raster data. The original raster data resolution is a 200-meter ce...
Heimiller, D. et al National Renewable Energy Laboratory
Nov 25, 2014
5 Resources
0 Stars
Publicly accessible
5 Resources
0 Stars
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U.S. Gulf of Mexico Coast Offshore Windspeed 90m Height High Resolution
The data here provide an estimate of annual average wind speed at 90 meter height above surface for specific offshore regions of the United States. This dataset is a geographic shapefile generated from the original raster data. The original raster data resolution is a 200-meter ce...
Heimiller, D. et al National Renewable Energy Laboratory
Nov 25, 2014
5 Resources
0 Stars
Publicly accessible
5 Resources
0 Stars
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WIND Toolkit Offshore Summary Dataset
This dataset contains summary statistics for offshore wind resources for the continental United States derived from the Wind Integration National Datatset (WIND) Toolkit. These data are available in two formats:
GDB Compressed geodatabases containing statistical summaries align...
Draxl. . et al National Renewable Energy Laboratory
Jul 21, 2017
7 Resources
0 Stars
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7 Resources
0 Stars
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Data for Known Geothermal Resource Areas (KGRA) and Identified Hydrothermal Resource Areas (IHRA) in Southern Idaho and Southeastern Oregon
The presented database includes water chemistry data and structural rating values for various geothermal features used for performing principal component (PC) and cluster analyses work to identify promising KGRAs and IHRAs in southern Idaho and southeastern Oregon. A brief note on...
Neupane, G. et al Idaho National Laboratory
Oct 09, 2017
2 Resources
0 Stars
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2 Resources
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Geothermal Exploration Cost and Time Metric
The National Renewable Energy Laboratory (NREL) was tasked with developing a metric in 2012 to measure the impacts of RD&D funding on the cost and time required for geothermal exploration activities. The development of this cost and time metric included collecting cost and time da...
Jenne, S. et al National Renewable Energy Laboratory
Jan 01, 2013
1 Resources
0 Stars
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1 Resources
0 Stars
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