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Title: US Low-Temperature EGS Resource Potential Estimate

Abstract

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 Office's Vision Study. They are not a robust estimate of low-temperature EGS resources in the U.S, and should be used accordingly.

Creator(s)/Author(s):
Publication Date:
Other Number(s):
832
DOE Contract Number:  
FY16 AOP 4.6.8.3
Product Type:
Dataset
Research Org.:
DOE Geothermal Data Repository; National Renewable Energy Laboratory
Sponsoring Org.:
USDOE Office of Energy Efficiency and Renewable Energy (EERE), Geothermal Technologies Program (EE-2C)
Subject:
15 Geothermal Energy
Keywords:
geothermal; EGS; low temperature; direct use; resource potential; shapefile; GIS data; low-temp; Vision Study; estimate; GeoVision; paper; thermal energy; shallow; GIS; geospatial data
OSTI Identifier:
1287546
DOI:
10.15121/1287546

Citation Formats

Young, Katherine. US Low-Temperature EGS Resource Potential Estimate. United States: N. p., 2016. Web. doi:10.15121/1287546.
Young, Katherine. US Low-Temperature EGS Resource Potential Estimate. United States. doi:10.15121/1287546.
Young, Katherine. 2016. "US Low-Temperature EGS Resource Potential Estimate". United States. doi:10.15121/1287546. https://www.osti.gov/servlets/purl/1287546. Pub date:Thu Jun 30 00:00:00 EDT 2016
@article{osti_1287546,
title = {US Low-Temperature EGS Resource Potential Estimate},
author = {Young, Katherine},
abstractNote = {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 Office's Vision Study. They are not a robust estimate of low-temperature EGS resources in the U.S, and should be used accordingly.},
doi = {10.15121/1287546},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2016},
month = {6}
}

Dataset:

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