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Dataset for report: Non-Technical Barriers to Geothermal Development in California and Nevada

Mar 10, 2022
66.68 MB
Publicly accessible
In California and Nevada, geothermal projects are subject to non-technical barriers, which may create development delays leading to higher project costs and risks and decreased competitiveness with other electricity generation technologies. These non-technical barriers may include...
Authors
Levine, A. et al National Renewable Energy Laboratory
geothermalenergycalifornianevadasalton searegulatorybarriersnon-technicalinterviewsenvironmentalstakeholdersnon-technical barriersntbgeoreportseatpermitenvironmental reviewauthorizationseconomiclcoecostfeasibilityprocessed dataannual technology baselineatbimperial countychurchill county

GeoVision Barriers Taskforce

Sep 30, 2015
55.69 kB
Publicly accessible
This submission includes papers, presentations, and data developed during the multi-year GeoVision Barriers Taskforce effort. Developers have identified many non-technical barriers to geothermal power development, including land access, permitting, and market barriers. Included i...
Authors
Young, K. and Levine, A. National Renewable Energy Laboratory
geothermalenergybarrierscostspermitpermittingregulatorytimelinesocial acceptanceregulationreedsgeovisionsocio-economicssocialeconomicssocio-economicseatsocio-economic assessment toolgeoreportbarriers expert teamland accesstransmissionmarketcosteconomiceaenvironmentalassessmentculturaltribalbiologicalregulatory frameworkstatefederalleasinggeothermal resource potentialdevelopment timelinesnepamarket barriersincentive

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

Deep Direct-Use Feasibility Study Computed Tomography (CT)-scanned data Analysis for the Tuscarora Sandstone at the National Energy Technology Laboratory

Jan 10, 2020
40.99 GB
Publicly accessible
The computed tomography (CT) facilities at the National Energy Technology Laboratory (NETL) Morgantown, West Virginia site were used to characterize core of the Tuscarora Sandstone from a vertical well in Preston County WV, the Preston-119 from a depth of 7,165 to 7,438 ft. The pr...
Authors
Brown, S. et al West Virginia University
geothermalenergyappalachian basinwvuwvgestuscarora sandstonecomputed tomographyimage jctct scannercharacterizationcore sampleslithologydensity valuesddudeep direct usefeasibilitycorepres-119preston 119clay 513harrison 79fracture volume