{"@type": "dcat:Dataset", "accessLevel": "public", "bureauCode": ["019:20"], "contactPoint": {"@type": "vcard:Contact", "fn": "Whitney Trainor-Guitton", "hasEmail": "mailto:wtrainor@nrel.gov"}, "dataQuality": true, "description": "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.", "distribution": [{"@type": "dcat:Distribution", "accessURL": "https://gdr.openei.org/files/1713/3002031258_Representation%20of%20Geothermal%20Resources%20and%20Technologies%20in%20EPRI_s%20US_REGEN%20Model_%20Guidelines%20for%20Enhancing%20Geothermal%20Integration%20in%20Capacity%20Expansion%20Models.pdf", "description": "This report explores the improved representation of geothermal resources, including hydrothermal and enhanced geothermal systems (EGS), in EPRI's US-REGEN model. It analyzes geothermal deployment under various cost and policy scenarios, providing guidelines for better integration into energy system models.", "format": "pdf", "mediaType": "application/pdf", "title": "Technical Report.pdf"}], "identifier": "https://data.openei.org/submissions/8344", "issued": "2024-12-13T07:00:00Z", "keyword": ["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 report"], "landingPage": "https://gdr.openei.org/submissions/1713", "license": "https://creativecommons.org/licenses/by/4.0/", "modified": "2025-02-19T15:14:42Z", "programCode": ["019:006"], "projectLead": "Sean Porse", "projectNumber": "FY24 AOP 4.1.1.2.", "projectTitle": "EPRI-NREL Joint Utilities Geothermal Engagement & Code Comparison", "publisher": {"@type": "org:Organization", "name": "National Renewable Energy Laboratory"}, "spatial": "{\"type\":\"Polygon\",\"coordinates\":[[[-125.4514,24.5873],[-66.5318,24.5873],[-66.5318,49.2637],[-125.4514,49.2637],[-125.4514,24.5873]]]}", "title": "EPRI Report: Enhancing Geothermal Representation in EPRI's US-REGEN Model"}