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Geothermal Development and the Use of Categorical Exclusions Under NEPA
This study focuses primarily on the Categorial Exclusions (CX) process and its applicability to geothermal exploration. In this paper, we:
Provide generalized background information on CXs, including previous NEPA reports addressing CXs, the process for developing CXs, and the ro...
Young, K. and Levine, A. National Renewable Energy Laboratory
Sep 30, 2014
4 Resources
0 Stars
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4 Resources
0 Stars
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Carbon Dioxide Information Analysis Center
The Carbon Dioxide Information Analysis Center (CDIAC) is the primary climate-change data and information analysis center of the U.S. Department of Energy (DOE). CDIAC is located at DOE's Oak Ridge National Laboratory (ORNL) and includes the World Data Center for Atmospheric Trace...
Boden, T. and Laboratory, O. Oak Ridge National Laboratory
Nov 25, 2014
1 Resources
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In curation
1 Resources
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In curation
Wind Turbine Water Setbacks: Ordinances (2022) and Extrapolated Trends, 115 Hub Height 170 Rotor Diameter
This dataset represents wind energy setback requirements from water based on existing county ordinances as of April 2022. A setback requirement is a minimum distance from water that an energy project may be developed, and these varied widely across the counties in which they exist...
Geospatial Data Science, N. and Geospatial Data Science, N. National Renewable Energy Laboratory (NREL)
Jan 01, 2024
5 Resources
0 Stars
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5 Resources
0 Stars
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Programs and Code for Geothermal Exploration Artificial Intelligence
The scripts below are used to run the Geothermal Exploration Artificial Intelligence developed within the "Detection of Potential Geothermal Exploration Sites from Hyperspectral Images via Deep Learning" project. It includes all scripts for pre-processing and processing, including...
Moraga, J. Colorado School of Mines
Apr 27, 2021
11 Resources
0 Stars
Publicly accessible
11 Resources
0 Stars
Publicly accessible
Appendices for Geothermal Exploration Artificial Intelligence Report
The Geothermal Exploration Artificial Intelligence looks to use machine learning to spot geothermal identifiers from land maps. This is done to remotely detect geothermal sites for the purpose of energy uses. Such uses include enhanced geothermal system (EGS) applications, especia...
Duzgun, H. et al Colorado School of Mines
Jan 08, 2021
12 Resources
0 Stars
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12 Resources
0 Stars
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U.S. Indirect and Direct Potable Water Reuse Systems (2020)
Collection of proposed, operating, demonstration, and pilot study potable reuse systems across the U.S. as of 2020. Information includes project name, location, augmentation type, capacity, year operational, treatment train, and source water type. References are included in this s...
Sim, A. and Mauter, M. NAWI
Jul 01, 2020
2 Resources
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2 Resources
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Geothermal Geodatabase for Rico Hot Springs Area and Lemon Hot Springs, Dolores and San Miguel Counties, Colorado
This geodatabase was built to cover several geothermal targets developed by Flint Geothermal in 2012 during a search for high-temperature systems that could be exploited for electric power development. Several of the thermal springs have geochemistry and geothermometry values indi...
Zehner, R. Flint Geothermal, LLC
Nov 01, 2012
1 Resources
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1 Resources
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Hawaii Play Fairway Analysis: Hawaii Conservation District Subzones
Conservation district subzones for the state of Hawaii.
Lautze, N. University of Hawaii
Nov 15, 2015
1 Resources
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1 Resources
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EIA Thermoelectric Water Cooling Data
The U.S. Energy Information Administration (EIA) collects water cooling data for the electric power industry in the United States. This submission includes annual data from 2014 to 2019. Each spreadsheet details the generator type, fuel consumption, water consumption, cooling type...
Information Administration, U. U.S. Energy Information Administration
Oct 22, 2020
6 Resources
0 Stars
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6 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
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2 Resources
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Geothermal Potential Area
A GIS layer from the BLM nationwide PEIS displaying geothermal potential areas in the United States. The GIS layer contains .SBX, .XML, .SHX, .DBF (.XLS), .PRJ, .SBN, and .SHP data.
### License Info
Made open by BLM http://www.doi.gov/privacy.cfm
Hill, G. and (BLM), U. National Renewable Energy Laboratory
Jul 29, 2014
2 Resources
0 Stars
In curation
2 Resources
0 Stars
In curation
Solar Energy Environmental Mapper
The Solar Energy Environmental Mapper is a web-based application that displays environmental data for the southwest U.S. in the context of utility-scale solar energy development. It provides access to screening-level data about resources and constraints, with analysis tools to he...
Kuiper, J. and Laboratory, A. National Renewable Energy Laboratory
Nov 25, 2014
1 Resources
0 Stars
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1 Resources
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In curation
National Forest System Lands in geothermal potential area
A GIS layer from the BLM nationwide PEIS of lands within the U.S. National Forest system that contain geothermal potential. The GIS layer contains .SBX, .XML, .SHX, .DBF (.XLS), .PRJ, .SBN, and .SHP data.
### License Info
Made open by BLM. http://www.doi.gov/privacy.cfm
Hill, G. and (BLM), U. National Renewable Energy Laboratory
Jul 29, 2014
2 Resources
0 Stars
In curation
2 Resources
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National Parks within the geothermal potential area
A GIS layer from the BLM nationwide PEIS of National Parks within the geothermal potential area, not part of the project area and closed to leasing for geothermal projects. The GIS layer contains .SBX, .XML, .SHX, .DBF (.XLS), .PRJ, .SBN, and .SHP data.
### License Info
Made o...
Hill, G. and (BLM), U. National Renewable Energy Laboratory
Jul 29, 2014
2 Resources
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In curation
2 Resources
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Dataset for report: Non-Technical Barriers to Geothermal Development in California and Nevada
In California and Nevada, geothermal projects are subject to non-technical barriers, which may create development delays leading to higher project costs and risks and decreased competitiveness with other electricity generation technologies. These non-technical barriers may include...
Levine, A. et al National Renewable Energy Laboratory
Mar 10, 2022
19 Resources
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19 Resources
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Electricity Market and NREL ATB Resources
The following resources host grid service pricing (e.g. ancillary services) beyond wholesale electric pricing. The NREL Annual Technology Baseline (ATB) provides a consistent set of technology cost and performance data for energy analysis.
Rhodes, G. National Renewable Energy Laboratory
Jan 31, 2020
4 Resources
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4 Resources
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Pending Geothermal lease applications
A GIS layer of pending Geothermal lease applications from Volume II of the BLM's Programmatic EIS to analyze and expedite
the leasing of BLM-and FS-administered lands with high potential for
renewable geothermal resources in 11 Western states and Alaska. The GIS layer contains ....
Hill, G. and (BLM), U. National Renewable Energy Laboratory
Jul 29, 2014
2 Resources
0 Stars
In curation
2 Resources
0 Stars
In curation
Hawaii Play Fairway Analysis: National Park Boundaries
Provided here is a link to the National Park Service boundaries for the state of Hawaii. Maps are provided as an interactive web viewer as well as PDF doucments.
Lautze, N. University of Hawaii
Nov 15, 2015
1 Resources
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1 Resources
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Hawaii Play Fairway Analysis: Oahu Groundwater Recharge Data
2015 USGS publication titled "Spatially distributed groundwater recharge for 2010 land cover estimated using a water-budget model for the island of O'ahu, Hawaii" which includes groundwater recharge data for Oahu.
Engott, J. et al University of Hawaii
Jan 01, 2015
1 Resources
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1 Resources
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Play Fairway Analysis CA-NV-OR: Figures on 2km Grids
Various data sets displayed on a 2km grid for the Play Fairway Analysis CA-NV-OR area.
M, C. University of California
Sep 15, 2015
16 Resources
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16 Resources
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North and South Dakota High Resolution 50m Wind Resource
Annual average wind resource potential for North and South Dakota at a 50 meter height in a GIS shapefile and links to US national wind resource information tools. This data set was produced and validated by NREL using their WRAM model.
Langle, N. and Lopez, A. National Renewable Energy Laboratory
Nov 25, 2014
4 Resources
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4 Resources
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USGS National Oil and Gas Assessment: GIS Data
The USGS Central Region Energy Team assessed the oil and gas resources of the United States. Cell maps for each oil and gas production area were created by the USGS as a method for illustrating the degree of exploration, type of production, and distribution of production in a play...
Hallett, K. and USGS, . National Renewable Energy Laboratory
Mar 25, 1996
6 Resources
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In curation
6 Resources
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In curation
Utah FORGE: AGRC GIS Database for the State of Utah
This is a link to the Automated Geographic Reference Center (AGRC) that houses GIS data for the state of Utah. This includes geoscience, cadastre, elevation and terrain, digital aerial photography, roads, aquifer data, etc. Several GIS datasets used in the Utah FORGE project origi...
Moore, J. Energy and Geoscience Institute at the University of Utah
Mar 02, 2016
1 Resources
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1 Resources
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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
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3 Resources
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Ceilometer ND Ceilometer, Wasco Airport Raw Data
**Overview**
Measurements of cloud base height and vertical visibility using pulsed infrared (910 nm) diode laser LIDAR technology. The instrument can detect up to three cloud layers simultaneously.
**Data Details**
Measurements taken in the standard measuring mode, where the C...
Fernando, J. et al Wind Energy Technologies Office (WETO)
Jan 14, 2015
1 Resources
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1 Resources
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