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
National Renewable Energy Laboratory. (2024). EPRI Report: Enhancing Geothermal Representation in EPRI's US-REGEN Model [data set]. Retrieved from https://gdr.openei.org/submissions/1713.
Molar-Cruz, Anhi, and Johnson, Nils. EPRI Report: Enhancing Geothermal Representation in EPRI's US-REGEN Model. United States: N.p., 13 Dec, 2024. Web. https://gdr.openei.org/submissions/1713.
Molar-Cruz, Anhi, & Johnson, Nils. EPRI Report: Enhancing Geothermal Representation in EPRI's US-REGEN Model. United States. https://gdr.openei.org/submissions/1713
Molar-Cruz, Anhi, and Johnson, Nils. 2024. "EPRI Report: Enhancing Geothermal Representation in EPRI's US-REGEN Model". United States. https://gdr.openei.org/submissions/1713.
@div{oedi_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.}, doi = {}, url = {https://gdr.openei.org/submissions/1713}, journal = {}, number = , volume = , place = {United States}, year = {2024}, month = {12}}
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
Original Source
https://gdr.openei.org/submissions/1713Research Areas
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.