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Renewable Energy Potential Model: Hawaii Geothermal Supply Curves

Jan 13, 2025
102.89 kB
Publicly accessible
This dataset extends the development of the Renewable Energy Potential (reV) model to include geothermal energy, with a specific focus on Hawaii. Provided here are the results of two scenarios that were modeled for geothermal energy in Hawaii: binary enhanced geothermal systems (E...
Authors
Trainor-Guitton, W. et al National Renewable Energy Laboratory
geothermalenergysupply curvegeospatialhawaiirevlevelized cost of energyhydrothermalcapital costgeothermal locationlcoeegspfaplay fairwaysimulationmodelmodel resultsheat mapbinary egsbinary hydrothermaltransmissiongrid connectiondevelopmentfeasibilityproduction metricssupply curves

Renewable Energy Potential Model: Geothermal Supply Curves

Aug 21, 2023
4.9 MB
Publicly accessible
The Renewable Energy Potential (reV) model is a geospatial platform for estimating technical potential and developing renewable energy supply curves, initially developed for wind and solar technologies. The model evaluates deployment constraints, considering land use, environmenta...
Authors
Trainor-Guitton, W. et al National Renewable Energy Laboratory
geothermalenergysmu temperaturessupply curvegeospatialgrid infrastructureexclusionslevelized cost of electricityegsoperating costsfeasibilitymodelrevhydrothermalcapital costsgeothermal location

PoroTomo Natural Laboratory Horizontal and Vertical Distributed Acoustic Sensing Data

Mar 29, 2016
342.13 TB
Publicly accessible
This dataset includes links to the PoroTomo DAS data in both SEG-Y and hdf5 (via h5py and HSDS with h5pyd) formats with tutorial notebooks for use. Data are hosted on Amazon Web Services (AWS) Simple Storage Service (S3) through the Open Energy Data Initiative (OEDI). Also include...
Authors
Feigl, K. et al University of Wisconsin
geothermalporotomodasfiber opticsurface sensorsseismic arraydistributed acoustic sensingporoeleastic tomographybradys geothermal fieldgeosciencedistributed sensingdownholetrenchedseismicityhydrothermalgeophysicsoediraw datajupyter notebookpythonhdf5hsdsh5pyh5pyd