Maximizing photovoltaic thermal system through computational fluid dynamics-driven multi-factor parametric optimization: A Taguchi-grey relational analysis method to enhancing electrical output and cooling efficiency for sustainable energy

Maximizing photovoltaic thermal system through computational fluid dynamics-driven multi-factor parametric optimization: A Taguchi-grey relational analysis method to enhancing electrical output and cooling efficiency for sustainable energy

This study presents a computational fluid dynamics (CFD)-based grey relational analysis (GRA) using the Taguchi method for the parametric optimisation of a photovoltaic thermal (PVT) system. The objective of the study is to use the excess thermal energy to increase the amount of electricity produced...

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Bibliographic Details
Main Authors: Natnale Sitotaw Asefa, Kiran Shahapurkar, Tilahun Nigussie, Abdulkadir Aman Hassen, Manzoore Elahi M. Soudagar, Yasser Fouad, Irfan Ali, Sagar Shelare, Shubham Sharma, V.K. Bupesh Raja, Abinash Mahapatro, Sarabjit Singh, Abhinav Kumar, Ehab El Sayed Massoud, Jasmina Lozanovic
Format: Article
Language:English
Published: Elsevier 2025-05-01
Series:Case Studies in Thermal Engineering
Subjects:
CFD
Photovoltaic
Percentage contribution
GRA
Solar radiation
Online Access:http://www.sciencedirect.com/science/article/pii/S2214157X25002515
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