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"Machine Learning for in-situ stress"×
District Heating×

Deep Direct-Use Feasibility Study Energy Demand Characterization and Surface Plant Modeling for West Virginia University

This dataset provides information gathered to determine end use load and assessment of existing district heating systems (DHS). It also provides Aspen simulation files used to model hybrid natural gas geothermal district heating and cooling (GDHC) system along with Exchange Design...
Garapati, N. West Virginia University
Jan 09, 2020
4 Resources
0 Stars
Publicly accessible

2019 Geothermal Market Report Fact Sheet

The 2020 U.S. Geothermal Power Production and District Heating Market Report is being developed by the National Renewable Energy Laboratory and Geothermal Rising, previously Geothermal Resources Council (GRC), with support from the Geothermal Technologies Office of the U.S. Depart...
Robins, J. et al National Renewable Energy Laboratory
Oct 01, 2020
1 Resources
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Geothermal Sector Cybersecurity Vulnerability Assessment Presentation

As geothermal resource contributions to the energy sector grow, cybersecurity will be increasingly important to ensure resilient, reliable, and secure clean energy for years to come. An overview of the cybersecurity vulnerability assessment project was developed and presented at t...
Markel, T. et al National Renewable Energy Laboratory
Oct 20, 2020
1 Resources
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