EPRI Report: Enhancing Geothermal Representation in EPRI's US-REGEN Model
This report examines improvements to the representation of geothermal resources and technologies, including hydrothermal, near-field, and deep enhanced geothermal systems (EGS), in EPRI's US-REGEN capacity expansion model. Using updated datasets from the National Renewable Energy Laboratory's ReEDS model, the study incorporates temperature-based classifications and revised cost assumptions to assess geothermal deployment under six scenarios, including net-zero pathways with and without carbon capture and storage (CCS). The findings highlight the potential role of EGS in long-term energy strategies, particularly under advanced cost reduction scenarios, and provide guidelines for integrating geothermal resources into energy system models.
Citation Formats
TY - DATA
AB - This report examines improvements to the representation of geothermal resources and technologies, including hydrothermal, near-field, and deep enhanced geothermal systems (EGS), in EPRI's US-REGEN capacity expansion model. Using updated datasets from the National Renewable Energy Laboratory's ReEDS model, the study incorporates temperature-based classifications and revised cost assumptions to assess geothermal deployment under six scenarios, including net-zero pathways with and without carbon capture and storage (CCS). The findings highlight the potential role of EGS in long-term energy strategies, particularly under advanced cost reduction scenarios, and provide guidelines for integrating geothermal resources into energy system models.
AU - Molar-Cruz, Anhi
A2 - Johnson, Nils
DB - Geothermal Data Repository
DP - Open EI | National Renewable Energy Laboratory
DO -
KW - geothermal
KW - energy
KW - capacity expansion model
KW - EGS
KW - hydrothermal
KW - US-REGEN
KW - energy systems modeling
KW - carbon capture and storage
KW - CCS
KW - temperature-based classification
KW - geothermal cost assumptions
KW - energy planning
KW - renewable energy
KW - technology assessment
KW - resource disaggregation
KW - power generation modeling
KW - ReEDS
KW - EPRI
KW - NREL
KW - technical report
LA - English
DA - 2024/12/13
PY - 2024
PB - National Renewable Energy Laboratory
T1 - EPRI Report: Enhancing Geothermal Representation in EPRI's US-REGEN Model
UR - https://gdr.openei.org/submissions/1713
ER -
Molar-Cruz, Anhi, and Nils Johnson. EPRI Report: Enhancing Geothermal Representation in EPRI's US-REGEN Model. National Renewable Energy Laboratory, 13 December, 2024, Geothermal Data Repository. https://gdr.openei.org/submissions/1713.
Molar-Cruz, A., & Johnson, N. (2024). EPRI Report: Enhancing Geothermal Representation in EPRI's US-REGEN Model. [Data set]. Geothermal Data Repository. National Renewable Energy Laboratory. https://gdr.openei.org/submissions/1713
Molar-Cruz, Anhi and Nils Johnson. EPRI Report: Enhancing Geothermal Representation in EPRI's US-REGEN Model. National Renewable Energy Laboratory, December, 13, 2024. Distributed by Geothermal Data Repository. https://gdr.openei.org/submissions/1713
@misc{GDR_Dataset_1713,
title = {EPRI Report: Enhancing Geothermal Representation in EPRI's US-REGEN Model},
author = {Molar-Cruz, Anhi and Johnson, Nils},
abstractNote = {This report examines improvements to the representation of geothermal resources and technologies, including hydrothermal, near-field, and deep enhanced geothermal systems (EGS), in EPRI's US-REGEN capacity expansion model. Using updated datasets from the National Renewable Energy Laboratory's ReEDS model, the study incorporates temperature-based classifications and revised cost assumptions to assess geothermal deployment under six scenarios, including net-zero pathways with and without carbon capture and storage (CCS). The findings highlight the potential role of EGS in long-term energy strategies, particularly under advanced cost reduction scenarios, and provide guidelines for integrating geothermal resources into energy system models.},
url = {https://gdr.openei.org/submissions/1713},
year = {2024},
howpublished = {Geothermal Data Repository, National Renewable Energy Laboratory, https://gdr.openei.org/submissions/1713},
note = {Accessed: 2025-05-07}
}
Details
Data from Dec 13, 2024
Last updated Feb 19, 2025
Submitted Feb 13, 2025
Organization
National Renewable Energy Laboratory
Contact
Whitney Trainor-Guitton
Authors
Keywords
geothermal, energy, capacity expansion model, EGS, hydrothermal, US-REGEN, energy systems modeling, carbon capture and storage, CCS, temperature-based classification, geothermal cost assumptions, energy planning, renewable energy, technology assessment, resource disaggregation, power generation modeling, ReEDS, EPRI, NREL, technical reportDOE Project Details
Project Name EPRI-NREL Joint Utilities Geothermal Engagement & Code Comparison
Project Lead Sean Porse
Project Number FY24 AOP 4.1.1.2.