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Techno-Economic Simulation Results Using dGeo for EGS-Based District Heating in the Northeastern United States

Sep 30, 2024
3.1 MB
Publicly accessible
This dataset presents the results of techno-economic simulations performed using the Distributed Geothermal Market Demand Model (dGeo) to evaluate the feasibility of Enhanced Geothermal Systems (EGS)-based district heating in the Northeastern United States. Developed by the Nation...
Authors
Pauling, H. National Renewable Energy Laboratory
geothermalenergyegsdistrict heatingdgeoteatechno-economic analsyisfeasibilityegs feasibilityegs direct usedeep direct usedudducapexopexlcohmodelinggeothermal market demandmodelsimulationthermal demandheating demanddistrict heating networks

GOOML Kahunanui Data Curation, Historical Modeling, Forecast Modeling, and Genetic Optimization Examples

Jan 30, 2023
725.34 MB
Awaiting release
This dataset contains example files and Jupyter Notebooks associated with the Geothermal Operational Optimization using Machine Learning (GOOML) framework, specifically for the fictional Kahunanui (KHN) geothermal power plant. The dataset includes synthetic time series data, confi...
Authors
Taverna, N. et al Upflow
geothermalenergymachine learninggoomlpower plantoptimizationgenetic optimizationregressionneural networkoperationssynthetic datakahunanuiforecasthindcastdata curationinputsoutputsconfigurationexamplephygnnphysics guided neural networkssteamfieldsteam fieldwellsflash plantsprocessed datapythonjupyter notebookmodelmodelingcode