Renewable Energy Potential Model: Hawaii Geothermal Supply Curves
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 -
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
Keywords
geothermal, energy, supply curve, geospatial, hawaii, rev, levelized cost of energy, hydrothermal, capital cost, geothermal location, LCOE, EGS, PFA, play fairway, simulation, model, model results, heat map, binary EGS, binary hydrothermal, transmission, grid connection, development, feasibility, production metrics, supply curvesDOE Project Details
Project Name Enhanced representation of geothermal power potential in reV
Project Lead Sean Porse
Project Number FY25 AOP 5.4.2.3