Renewable Energy Potential Model: Hawaii Geothermal Supply Curves

Publicly accessible License 

This dataset extends the development of the Renewable Energy Potential (reV) model to include geothermal energy, with a specific focus on Hawaii. Provided here are the results of two scenarios that were modeled for geothermal energy in Hawaii: binary enhanced geothermal systems (EGS) at a depth of 2.5 km and hydrothermal binary systems at a depth of 1.5 km. The resource data for both scenarios were derived from Lautze and Haskins (2024) using an exponential method. The PFA probability of heat map was used as a look up table for which temperature gradient to use (Lautze and Haskins, 2024).

The dataset provides geospatial and techno-economic details for evaluating geothermal energy potential. It includes spatial coordinates, estimated capacity factors, developable area, resource potential, and annual energy production metrics. Economic details such as levelized cost of electricity (LCOE), site development costs, transmission costs, and fixed-charge rates are also included. The reV model, originally developed for wind and solar energy, incorporates these variables to evaluate deployment constraints related to land use, environmental and cultural factors, and grid integration.

Citation Formats

TY - DATA AB - This dataset extends the development of the Renewable Energy Potential (reV) model to include geothermal energy, with a specific focus on Hawaii. Provided here are the results of two scenarios that were modeled for geothermal energy in Hawaii: binary enhanced geothermal systems (EGS) at a depth of 2.5 km and hydrothermal binary systems at a depth of 1.5 km. The resource data for both scenarios were derived from Lautze and Haskins (2024) using an exponential method. The PFA probability of heat map was used as a look up table for which temperature gradient to use (Lautze and Haskins, 2024). The dataset provides geospatial and techno-economic details for evaluating geothermal energy potential. It includes spatial coordinates, estimated capacity factors, developable area, resource potential, and annual energy production metrics. Economic details such as levelized cost of electricity (LCOE), site development costs, transmission costs, and fixed-charge rates are also included. The reV model, originally developed for wind and solar energy, incorporates these variables to evaluate deployment constraints related to land use, environmental and cultural factors, and grid integration. AU - Trainor-Guitton, Whitney A2 - Pinchuk, Paul A3 - Olsson, Reid A4 - Maclaurin, Galen DB - Geothermal Data Repository DP - Open EI | National Renewable Energy Laboratory DO - 10.15121/2516750 KW - geothermal KW - energy KW - supply curve KW - geospatial KW - hawaii KW - rev KW - levelized cost of energy KW - hydrothermal KW - capital cost KW - geothermal location KW - LCOE KW - EGS KW - PFA KW - play fairway KW - simulation KW - model KW - model results KW - heat map KW - binary EGS KW - binary hydrothermal KW - transmission KW - grid connection KW - development KW - feasibility KW - production metrics KW - supply curves LA - English DA - 2025/01/13 PY - 2025 PB - National Renewable Energy Laboratory T1 - Renewable Energy Potential Model: Hawaii Geothermal Supply Curves UR - https://doi.org/10.15121/2516750 ER -
Export Citation to RIS
Trainor-Guitton, Whitney, et al. Renewable Energy Potential Model: Hawaii Geothermal Supply Curves. National Renewable Energy Laboratory, 13 January, 2025, Geothermal Data Repository. https://doi.org/10.15121/2516750.
Trainor-Guitton, W., Pinchuk, P., Olsson, R., & Maclaurin, G. (2025). Renewable Energy Potential Model: Hawaii Geothermal Supply Curves. [Data set]. Geothermal Data Repository. National Renewable Energy Laboratory. https://doi.org/10.15121/2516750
Trainor-Guitton, Whitney, Paul Pinchuk, Reid Olsson, and Galen Maclaurin. Renewable Energy Potential Model: Hawaii Geothermal Supply Curves. National Renewable Energy Laboratory, January, 13, 2025. Distributed by Geothermal Data Repository. https://doi.org/10.15121/2516750
@misc{GDR_Dataset_1702, title = {Renewable Energy Potential Model: Hawaii Geothermal Supply Curves}, author = {Trainor-Guitton, Whitney and Pinchuk, Paul and Olsson, Reid and Maclaurin, Galen}, abstractNote = {This dataset extends the development of the Renewable Energy Potential (reV) model to include geothermal energy, with a specific focus on Hawaii. Provided here are the results of two scenarios that were modeled for geothermal energy in Hawaii: binary enhanced geothermal systems (EGS) at a depth of 2.5 km and hydrothermal binary systems at a depth of 1.5 km. The resource data for both scenarios were derived from Lautze and Haskins (2024) using an exponential method. The PFA probability of heat map was used as a look up table for which temperature gradient to use (Lautze and Haskins, 2024).

The dataset provides geospatial and techno-economic details for evaluating geothermal energy potential. It includes spatial coordinates, estimated capacity factors, developable area, resource potential, and annual energy production metrics. Economic details such as levelized cost of electricity (LCOE), site development costs, transmission costs, and fixed-charge rates are also included. The reV model, originally developed for wind and solar energy, incorporates these variables to evaluate deployment constraints related to land use, environmental and cultural factors, and grid integration.}, url = {https://gdr.openei.org/submissions/1702}, year = {2025}, howpublished = {Geothermal Data Repository, National Renewable Energy Laboratory, https://doi.org/10.15121/2516750}, note = {Accessed: 2025-04-23}, doi = {10.15121/2516750} }
https://dx.doi.org/10.15121/2516750

Details

Data from Jan 13, 2025

Last updated Feb 14, 2025

Submitted Jan 13, 2025

Organization

National Renewable Energy Laboratory

Contact

Sophie-Min Thomson

Authors

Whitney Trainor-Guitton

National Renewable Energy Laboratory

Paul Pinchuk

National Renewable Energy Laboratory

Reid Olsson

National Renewable Energy Laboratory

Galen Maclaurin

National Renewable Energy Laboratory

DOE Project Details

Project Name Enhanced representation of geothermal power potential in reV

Project Lead Sean Porse

Project Number FY25 AOP 5.4.2.3

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