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EPRI Report: Enhancing Geothermal Representation in EPRI's US-REGEN Model

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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.

Technical Report.pdf

This report explores the improved representation of geothermal resources, including hydrothermal and enhanced geothermal systems (EGS), in EPRI's US-REGEN model. It ana... more
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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 - Open Energy Data Initiative (OEDI) 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://data.openei.org/submissions/8344 ER -
Export Citation to RIS
Molar-Cruz, Anhi, and Nils Johnson. EPRI Report: Enhancing Geothermal Representation in EPRI's US-REGEN Model. National Renewable Energy Laboratory, 13 December, 2024, GDR. 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]. GDR. 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 GDR. https://gdr.openei.org/submissions/1713
@misc{OEDI_Dataset_8344, 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 = {GDR, National Renewable Energy Laboratory, https://gdr.openei.org/submissions/1713}, note = {Accessed: 2025-05-17} }

Details

Data from Dec 13, 2024

Last updated Feb 19, 2025

Submitted Feb 13, 2025

Organization

National Renewable Energy Laboratory

Contact

Whitney Trainor-Guitton

wtrainor@nrel.gov

Authors

Anhi Molar-Cruz

EPRI

Nils Johnson

EPRI

Research Areas

DOE Project Details

Project Name EPRI-NREL Joint Utilities Geothermal Engagement & Code Comparison

Project Lead Sean Porse

Project Number FY24 AOP 4.1.1.2.

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