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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
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Seedling Project Report: A Novel Heat Pump Integrated Underground Thermal Energy Storage for Shaping Electric Demand of Buildings

This report presents a preliminary assessment of the technical feasibility of utilizing underground thermal energy storage (UTES) and electric-driven heat pumps (EDHPs) to enable flexible behind-the-meter electric demand of buildings while meeting their thermal demands in an energ...
Liu, X. et al Oak Ridge National Laboratory
May 31, 2019
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Alternative CAES Technology Using Depleted Unconventional Gas Wells and Subsurface Thermal Energy Storage (GeoCAES)

This project assessed the technical viability of a process called GeoCAES. The process stores electrical energy by injecting natural gas into shale gas formations using a compressor, storing it, and producing it through an expander to generate electricity. This data submission inc...
Johnston, H. and Young, D. National Renewable Energy Laboratory
May 23, 2019
8 Resources
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