Application of Artificial Intelligence to Improve the Thermal Energy and Exergy of Nanofluid-Based PV Thermal/Nano-Enhanced Phase Change Material

Application of Artificial Intelligence to Improve the Thermal Energy and Exergy of Nanofluid-Based PV Thermal/Nano-Enhanced Phase Change Material

Photovoltaic-thermal (PVT) technologies have demonstrated several attractive features, such as higher power and comparative efficiencies. Improving the thermal recovery from the PVT system would further improve the power output and the efficiency of the PVT system. This paper identifies the best ope...

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Bibliographic Details
Main Authors: Enas Taha Sayed, Hegazy Rezk, Abdul Ghani Olabi, Mohamed R. Gomaa, Yahia B. Hassan, Shek Mohammad Atiqure Rahman, Sheikh Khaleduzzaman Shah, Mohammad Ali Abdelkareem
Format: Article
Language:English
Published: MDPI AG 2022-11-01
Series:Energies
Subjects:
photovoltaic thermal (PVT)
phase change material
nanofluid
optimization
modelling
exergy
Online Access:https://www.mdpi.com/1996-1073/15/22/8494

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https://www.mdpi.com/1996-1073/15/22/8494

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