Advancing solar thermal utilization by optimization of phase change material thermal storage systems: A hybrid approach of artificial neural network (ANN)/Genetic algorithm (GA)

Advancing solar thermal utilization by optimization of phase change material thermal storage systems: A hybrid approach of artificial neural network (ANN)/Genetic algorithm (GA)

Solar energy is critical to the global shift towards sustainable and low-carbon energy solutions. Unlike fossil fuels, solar energy produces no emissions during operation, making it a key driver of environmentally friendly power generation. However, the intermittency of solar power remains a challen...

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Bibliographic Details
Main Authors: Longyi Ran, Gongxing Yan, Vishal Goyal, Sherzod Abdullaev, Fahad M. Alhomayani, Luan Thanh Le, Mohamed Ayadi, Fawaz S. Alharbi, Laith H. Alzubaidi, Ibrahim Albaijan, Baseem Khan
Format: Article
Language:English
Published: Elsevier 2024-12-01
Series:Case Studies in Thermal Engineering
Subjects:
Energy storage
Heat absorption performance
Machine learning
Optimization
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Online Access:http://www.sciencedirect.com/science/article/pii/S2214157X24015442
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