GMDH-neural network approaches for packed bed thermal energy system based on PCM integrated with a porous medium and magnetic field
Packed bed thermal energy systems (PBTES) are recognized as one of the innovative technologies in the field of energy storage. This study numerically investigates the effects of a porous medium, magnetic field, mechanical vibrations, and various configurations of concrete-phase change material (PCM)...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-05-01
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| Series: | Case Studies in Thermal Engineering |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2214157X2500262X |
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