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"Utah FORGE well stimulation"×
Idaho National Laboratory×

Dynamic Earth Energy Storage: Terawatt-Year, Grid-Scale Energy Storage using Planet Earth as a Thermal Battery (GeoTES): Seedling Project Final Report

Grid-scale energy storage has been identified as a needed technology to support the continued build-out of intermittent renewable energy resources. As of April 2017, the U.S. had approximately 24.2 GW of energy storage on line, compared to 1,081 GW of installed generation capacity...
McLing, T. et al Idaho National Laboratory
May 31, 2019
11 Resources
0 Stars
Publicly accessible

Geothermal Technologies Program GETEM and LCOE Improvements Review (March 21, 2013)

This file was a report submitted to GTO by Mark Paster, a consultant to the GETEM project, to outline the improvements that were made between summer 2011 and spring 2013. The report focuses on six areas of model improvement: (1) Site Specific Cost Variability; (2) Consistency wi...
Paster, M. Idaho National Laboratory
Mar 21, 2013
1 Resources
0 Stars
Publicly accessible

Nevada Production and Injection Well Data for Facilities with Flash Steam Plants

Files contain a summary of the production and injection data submitted by the geothermal operators to the Nevada Bureau of Mines and Geology over the period from 1985 thru 2009
Mines, G. Idaho National Laboratory
Mar 26, 2014
5 Resources
0 Stars
Publicly accessible

CAES 2014 Chemical Analyses of Thermal Wells and Springs in Southeastern Idaho

This dataset contains chemical analyses for thermal wells and springs in Southeastern Idaho. Data includes all major cations, major anions, pH, collection temperature, and some trace metals. These samples were collected in 2014 by the Center for Advanced Energy Studies (CAES), an...
Mattson, E. Idaho National Laboratory
Mar 10, 2014
7 Resources
0 Stars
Publicly accessible

Machine Learning-Assisted High-Temperature Reservoir Thermal Energy Storage Optimization: Numerical Modeling and Machine Learning Input and Output Files

This data set includes the numerical modeling input files and output files used to synthesize data, and the reduced-order machine learning models trained from the synthesized data for reservoir thermal energy storage site identification. In this study, a machine-learning-assiste...
Jin, W. et al Idaho National Laboratory
Apr 15, 2022
4 Resources
0 Stars
Publicly accessible
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