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.

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 -
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, 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

Anhi Molar-Cruz

EPRI

Nils Johnson

EPRI

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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