Efficient estimation of convective cooling of photovoltaic arrays: A physics-informed machine learning approach

Convective cooling by wind is crucial for large-scale photovoltaic (PV) systems, as power generation inversely correlates with panel temperature. Therefore, accurately determining the convective heat transfer coefficient for PV arrays with various geometric configurations is essential to optimize ar...

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Bibliographic Details

Published in:	Energy and AI
Main Authors:	Dapeng Wang, Zhaojian Liang, Ziqi Zhang, Mengying Li
Format:	Article
Language:	English
Published:	Elsevier 2025-05-01
Subjects:	Geometric configuration of PV array Convective heat transfer Deep convolution neural network Physics informed machine learning Pocket loss
Online Access:	http://www.sciencedirect.com/science/article/pii/S266654682500031X