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Subsurface Characterization and Machine Learning Predictions at Brady Hot Springs
Subsurface data analysis, reservoir modeling, and machine learning (ML) techniques have been applied to the Brady Hot Springs (BHS) geothermal field in Nevada, USA to further characterize the subsurface and assist with optimizing reservoir management. Hundreds of reservoir simulat...
Beckers, K. et al National Renewable Energy Laboratory
Feb 18, 2021
1 Resources
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1 Resources
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DEEPEN 3D PFA Favorability Models and 2D Favorability Maps at Newberry Volcano
DEEPEN stands for DE-risking Exploration of geothermal Plays in magmatic ENvironments.
Part of the DEEPEN project involved developing and testing a methodology for a 3D play fairway analysis (PFA) for multiple play types (conventional hydrothermal, superhot EGS, and supercritical...
Taverna, N. et al National Renewable Energy Laboratory
Jun 30, 2023
27 Resources
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27 Resources
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GeoVision Barriers Taskforce
This submission includes papers, presentations, and data developed during the multi-year GeoVision Barriers Taskforce effort.
Developers have identified many non-technical barriers to geothermal power development, including land access, permitting, and market barriers. Included i...
Young, K. and Levine, A. National Renewable Energy Laboratory
Sep 30, 2015
5 Resources
0 Stars
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5 Resources
0 Stars
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Commercial and Residential Hourly Load Profiles for all TMY3 Locations in the United States
Note: This dataset has been superseded by the dataset found at "End-Use Load Profiles for the U.S. Building Stock" (submission 4520; linked in the submission resources), which is a comprehensive and validated representation of hourly load profiles in the U.S. commercial and reside...
Ong, S. and Clark, N. National Renewable Energy Laboratory
Nov 25, 2014
22 Resources
0 Stars
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22 Resources
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