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Environmental Impact Calculations for Geothermal DDU system on WVU Campus

This dataset contains all the inputs used and output produced from Matlab for the environmental analysis of an improved hybrid geothermal district heating and cooling (GDHC) system with a heat pump, without a heat pump, and for a hot water GDHC. Detailed descriptions of the conten...
Garapati, N. et al West Virginia University
Mar 18, 2020
5 Resources
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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
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Subsurface Characterization and Machine Learning Predictions at Brady Hot Springs Results

Geothermal power plants typically show decreasing heat and power production rates over time. Mitigation strategies include optimizing the management of existing wells increasing or decreasing the fluid flow rates across the wells and drilling new wells at appropriate locations. Th...
Beckers, K. et al National Renewable Energy Laboratory
Oct 20, 2021
6 Resources
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EGS Collab Experiment 1: Circulation Testing

These data and test descriptions comprise a chilled circulation test conducted at the 164' fracture in the EGS Collab Experiment 1 testbed on the 4850 ft level of the Sanford Underground Research Facility. Descriptions of the meta data, design drawings for the flow testing system,...
Knox, H. et al Lawrence Berkeley National Laboratory
Apr 01, 2019
11 Resources
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