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GEOPHIRES Simulations for Deep Direct Use (DDU) Projects

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This folder contains the GEOPHIRES codes and input files for running the base case scenarios for the six deep direct-use (DDU) projects. The six DDU projects took place during 2017-2020 and were funded by the U.S. Department of Energy Geothermal Technologies Office. They investigated the potential of geothermal deep direct-use at six locations across the country. The projects were conducted by Cornell University, West Virginia University (WVU), University of Illinois (U of IL), Sandia National Laboratory (SNL), Portland State University (PSU), and National Renewable Energy Laboratory (NREL). Four projects (Cornell, WVU, U of IL, SNL) investigated geothermal for direct heating of a local campus or community, the project by PSU considered seasonal subsurface storage of solar heating, and the NREL project investigated geothermal heating for turbine inlet cooling using absorption chillers.

To allow comparison of techno-economic results across the six DDU projects, GEOPHIRES simulations were set up and conducted for each project. The GEOPHIRES code was modified for each project to simulate the local application and incorporate project-specific assumptions and results such as reservoir production temperature or financing conditions. The base case input file is included which simulates the base case conditions assumed by each project team. The levelized cost of heat (LCOH) is calculated and matches the base case LCOH reported by the project teams.

Citation Formats

TY - DATA AB - This folder contains the GEOPHIRES codes and input files for running the base case scenarios for the six deep direct-use (DDU) projects. The six DDU projects took place during 2017-2020 and were funded by the U.S. Department of Energy Geothermal Technologies Office. They investigated the potential of geothermal deep direct-use at six locations across the country. The projects were conducted by Cornell University, West Virginia University (WVU), University of Illinois (U of IL), Sandia National Laboratory (SNL), Portland State University (PSU), and National Renewable Energy Laboratory (NREL). Four projects (Cornell, WVU, U of IL, SNL) investigated geothermal for direct heating of a local campus or community, the project by PSU considered seasonal subsurface storage of solar heating, and the NREL project investigated geothermal heating for turbine inlet cooling using absorption chillers. To allow comparison of techno-economic results across the six DDU projects, GEOPHIRES simulations were set up and conducted for each project. The GEOPHIRES code was modified for each project to simulate the local application and incorporate project-specific assumptions and results such as reservoir production temperature or financing conditions. The base case input file is included which simulates the base case conditions assumed by each project team. The levelized cost of heat (LCOH) is calculated and matches the base case LCOH reported by the project teams. AU - Beckers, Koenraad DB - Open Energy Data Initiative (OEDI) DP - Open EI | National Renewable Energy Laboratory DO - 10.15121/1657801 KW - geothermal KW - energy KW - DDU KW - GEOPHIRES KW - Deep Direct Use KW - LCOH KW - economics KW - absorption chiller KW - subsurface storage KW - techno-economic KW - levelized cost of heat KW - wellbore KW - experiment KW - cost KW - simulation KW - modeling KW - reservoir KW - temperature KW - technology KW - absorption KW - Portland Basin KW - Illinois Basin KW - WVU KW - West Virginia University KW - West Virginia KW - Portland KW - Oregon KW - Champagne-Urbana KW - Illinois KW - University of Illinois KW - Urbana-Champaign KW - Champaign-Urbana KW - Cornell KW - Hawthorne KW - Nevada KW - porosity KW - flow KW - thermal conductivity KW - injection test KW - drilling KW - well data LA - English DA - 2020/06/30 PY - 2020 PB - National Renewable Energy Laboratory T1 - GEOPHIRES Simulations for Deep Direct Use (DDU) Projects UR - https://doi.org/10.15121/1657801 ER -
Export Citation to RIS
Beckers, Koenraad. GEOPHIRES Simulations for Deep Direct Use (DDU) Projects. National Renewable Energy Laboratory, 30 June, 2020, GDR. https://doi.org/10.15121/1657801.
Beckers, K. (2020). GEOPHIRES Simulations for Deep Direct Use (DDU) Projects. [Data set]. GDR. National Renewable Energy Laboratory. https://doi.org/10.15121/1657801
Beckers, Koenraad. GEOPHIRES Simulations for Deep Direct Use (DDU) Projects. National Renewable Energy Laboratory, June, 30, 2020. Distributed by GDR. https://doi.org/10.15121/1657801
@misc{OEDI_Dataset_7364, title = {GEOPHIRES Simulations for Deep Direct Use (DDU) Projects}, author = {Beckers, Koenraad}, abstractNote = {This folder contains the GEOPHIRES codes and input files for running the base case scenarios for the six deep direct-use (DDU) projects. The six DDU projects took place during 2017-2020 and were funded by the U.S. Department of Energy Geothermal Technologies Office. They investigated the potential of geothermal deep direct-use at six locations across the country. The projects were conducted by Cornell University, West Virginia University (WVU), University of Illinois (U of IL), Sandia National Laboratory (SNL), Portland State University (PSU), and National Renewable Energy Laboratory (NREL). Four projects (Cornell, WVU, U of IL, SNL) investigated geothermal for direct heating of a local campus or community, the project by PSU considered seasonal subsurface storage of solar heating, and the NREL project investigated geothermal heating for turbine inlet cooling using absorption chillers.

To allow comparison of techno-economic results across the six DDU projects, GEOPHIRES simulations were set up and conducted for each project. The GEOPHIRES code was modified for each project to simulate the local application and incorporate project-specific assumptions and results such as reservoir production temperature or financing conditions. The base case input file is included which simulates the base case conditions assumed by each project team. The levelized cost of heat (LCOH) is calculated and matches the base case LCOH reported by the project teams.
}, url = {https://gdr.openei.org/submissions/1233}, year = {2020}, howpublished = {GDR, National Renewable Energy Laboratory, https://doi.org/10.15121/1657801}, note = {Accessed: 2025-05-03}, doi = {10.15121/1657801} }
https://dx.doi.org/10.15121/1657801

Details

Data from Jun 30, 2020

Last updated Feb 18, 2025

Submitted Aug 31, 2020

Organization

National Renewable Energy Laboratory

Contact

Koenraad Beckers

Authors

Koenraad Beckers

National Renewable Energy Laboratory

Research Areas

DOE Project Details

Project Name Deep Direct-Use Technoeconomic Data Analysis, Modeling and Reporting

Project Lead Arlene Anderson

Project Number 28966

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