Predicting Thermal Performance of Aquifer Thermal Energy Storage Systems in Depleted Clastic Hydrocarbon Reservoirs via Machine Learning Case Study from Hungary /
This study presents an innovative approach for repurposing depleted clastic hydrocarbon reservoirs in Hungary as High-Temperature Aquifer Thermal Energy Storage (HT-ATES) systems, integrating numerical heat transport modeling and machine learning optimization. A detailed hydrogeological model of the...
Elmentve itt :
| Szerzők: |
Abdulhaq Hawkar Geiger János Vass István M. Tóth Tivadar Medgyes Tamás Bozsó Gábor Kóbor Balázs Kun Éva Szanyi János |
|---|---|
| Dokumentumtípus: | Cikk |
| Megjelent: |
2025
|
| Sorozat: | ENERGIES
18 No. 10 |
| Tárgyszavak: | |
| doi: | 10.3390/en18102642 |
| mtmt: | 36159591 |
| Online Access: | http://publicatio.bibl.u-szeged.hu/37502 |
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