{"@type": "dcat:Dataset", "accessLevel": "public", "bureauCode": ["019:20"], "contactPoint": {"@type": "vcard:Contact", "fn": "Scott Mello", "hasEmail": "mailto:scott.mello@nlr.gov"}, "dataQuality": true, "description": "This dataset accompanies the paper \"Geothermal district energy systems coupled with seasonal underground thermal energy storage: a U.S. techno-economic screening by climate and geology.\" It contains the data and scripts required to reproduce the study's results across ten U.S. cities, where ground heat exchangers (GHEs_ and underground thermal energy storage (UTES) were modeled to assess district-scale heating and cooling performance. The dataset includes Python scripts implementing the workflow described in the paper, county-level building load profiles derived from ComStock data, SUTRA inputs and outputs for aquifer and reservoir thermal energy storage simulations, and a comprehensive technical and cost results summary.\n\nThe workflow integrates standardized load aggregation, GHE sizing with GHEDesigner, subsurface thermal storage modeling using SUTRA, and economic assessment through unified cost modeling. The specific configuration modeled here has the GHE supplying district heating and an equal share of cooling, with the UTES system (either Aquifer- or Reservoir- TES) supplying the remaining cooling load. Intermediate and final outputs are structured so that the workflow can be rerun or modified for different cities, system configurations, or parameter assumptions. The dataset also links to a supporting U.S. Geological Survey data release that documents the SUTRA framework and provides additional model files and reference simulations. ", "distribution": [{"@type": "dcat:Distribution", "accessURL": "https://doi.org/10.1016/j.renene.2026.125540", "description": "This is a link to the publication that this data supports. The paper details each step, including the heating and cooling load profile generation, closed-loop borehole sizing, ATES/RTES simulations, and techno-economic analyses and results.", "format": "125540", "mediaType": "application/octet-stream", "title": "Associated Publication"}, {"@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5066/P138XVEG", "description": "External reference data release that documents SUTRA simulation methodology, provides model files and example results, and offers detailed guidance for interpreting and reusing the UTES modeling framework employed in this study. Information here details all files found in the adjacent \"SUTRA Inputs Outputs\" folder.", "format": "HTML", "mediaType": "text/html", "title": "SUTRA Model"}, {"@type": "dcat:Distribution", "accessURL": "https://gdr.openei.org/files/1795/SUTRA_inputs_outputs.zip", "description": "Provides input and output files for weekly SUTRA subsurface simulations of UTES (ATES and RTES) across each case studied, initial and time-series inputs, well-level flow/temperature/pressure outputs, thermal energy budgets, and in some cases reservoir cross-section animations.", "format": "zip", "mediaType": "application/zip", "title": "SUTRA Inputs Outputs.zip"}, {"@type": "dcat:Distribution", "accessURL": "https://gdr.openei.org/files/1795/city_utes_summary.xlsx", "description": "A comprehensive results table compiling technical, energy, and cost metrics for every city and UTES type studied, with detailed parameters for borefield sizing, drilling and equipment capital costs, electricity use, and levelized cost of energy. See associated publication for methodology and results discussion.", "format": "xlsx", "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet", "title": "Technical and Economic Results.xlsx"}, {"@type": "dcat:Distribution", "accessURL": "https://gdr.openei.org/files/1795/loads.zip", "description": "Contains county-level heating and cooling load profiles derived from ComStock for each district, formatted as 15-minute interval time series (kWh) for seven representative commercial buildings plus district totals.", "format": "zip", "mediaType": "application/zip", "title": "District Load Profiles.zip"}, {"@type": "dcat:Distribution", "accessURL": "https://gdr.openei.org/files/1795/workflow_scripts.zip", "description": "Contains the full Python-based workflow for the study, including scripts, and city-specific run folders; covers load aggregation, GHE sizing with GHEDesigner, SUTRA input preparation, and techno-economic cost analysis, with a complete Albuquerque case as an example. See associated publication, included README, and script headers for more information.", "format": "zip", "mediaType": "application/zip", "title": "Workflow Scripts.zip"}], "identifier": "https://data.openei.org/submissions/8667", "issued": "2025-09-27T06:00:00Z", "keyword": ["ATES", "ComStock", "GHE", "GeoTES", "LCOE", "Python", "RTES", "SUTRA", "U.S. cities", "UTES", "aquifer storage", "building load profiles", "district energy systems", "energy", "energy modeling", "geothermal", "ground heat exchanger", "model", "model data", "scripts", "seasonal storage", "subsurface simulation", "techo-economic analysis", "underground thermal energy storage"], "landingPage": "https://gdr.openei.org/submissions/1795", "license": "https://creativecommons.org/licenses/by/4.0/", "modified": "2026-06-05T16:37:15Z", "programCode": ["019:006"], "projectLead": "Arlene Anderson", "projectNumber": "FY25 AOP 4.1.3.3", "projectTitle": "FLXenabler - Flexible heating and cooling and geothermal energy storage as an enabler for decarbonized integrated energy systems", "publisher": {"@type": "org:Organization", "name": "National Laboratory of the Rockies"}, "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": "District Geothermal Energy Systems with Seasonal Underground Thermal Storage: Load Profiles, Modeling Workflow, and Techno-Economic Results for U.S. Screening"}