Artificial neural network based enhanced thermal energy storage system for renewable energy using nano-particles
Thermal Energy Storage (TES) has appeared to be a viable answer to the worlds energy concerns. Combining Latent Heat Storage Systems (LHSS) with renewable (solar) energy sources has improved the sustainability and efficiency of energy systems worldwide. Phase Change Material (PCM) stores thermal ene...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-09-01
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| Series: | Case Studies in Thermal Engineering |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2214157X25008469 |
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