Flexible Geothermal Power Data for Decarbonized Electricity Systems Modeling

Wilson Ricks from Princeton University provides supplementary data for modeling Enhanced Geothermal Systems (EGS) in decarbonized grids. The repository contains costing models, reservoir simulations, and power system model inputs and outputs. Data likely includes resource depth, temperature, and location characteristics for EGS cost and performance analysis.

Use Cases

• Calibrating geothermal reservoir simulation models based on outputs from ResFrac.
• Estimating the cost and performance of Enhanced Geothermal Systems (EGS) resources based on input characteristics.
• Generating non-EGS power system inputs using the PowerGenome framework.
• Running power system optimization scenarios with the modified GenX model.

Strengths

• Data is directly linked to a published research paper from Princeton University, providing academic context.
• Includes multiple modeling components: costing, reservoir simulation, and full power system optimization.
• Repository contains both source code (modified GenX) and model input/output files for reproducibility.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count and dataset scale are unknown, which may limit suitability assessment.
• Last update date is unknown; freshness unverified.

Provenance

Source

Princeton University

Collection Method

Model outputs and inputs from the ResFrac, PowerGenome, and GenX simulation frameworks.

Time Range

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Freshness

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Geography

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