GEOPHIRES Simulations for Deep Direct Use (DDU) Projects
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 -
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
Original Source
https://gdr.openei.org/submissions/1233Research Areas
Keywords
geothermal, energy, DDU, GEOPHIRES, Deep Direct Use, LCOH, economics, absorption chiller, subsurface storage, techno-economic, levelized cost of heat, wellbore, experiment, cost, simulation, modeling, reservoir, temperature, technology, absorption, Portland Basin, Illinois Basin, WVU, West Virginia University, West Virginia, Portland, Oregon, Champagne-Urbana, Illinois, University of Illinois, Urbana-Champaign, Champaign-Urbana, Cornell, Hawthorne, Nevada, porosity, flow, thermal conductivity, injection test, drilling, well dataDOE Project Details
Project Name Deep Direct-Use Technoeconomic Data Analysis, Modeling and Reporting
Project Lead Arlene Anderson
Project Number 28966