Mohd Rosli, Mohd Afzanizam and Cheong, Jing Rou and Muhamed Rafaizul, Nurul Izzati Akmal and Herawan, Safarudin Gazali and Arifin, Zainal and Hussain, Faridah (2024) Numerical investigation of PV/T system by using graphene based nanofluids. Journal of Advanced Research in Micro and Nano Engineering, 18 (1). pp. 9-31. ISSN 2756-8210
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Abstract
The effective use of solar radiation can be maximized by the implementation of a novel hybrid device referred to as a photovoltaic thermal collector (PV/T), which has the capability to simultaneously generate both electrical and thermal energy. As temperature increases, the efficiency of the photovoltaic (PV) cell drops. The present work employs graphene nanofluids as a means to decrease the temperature of the system in order to evaluate the photovoltaic thermal (PV/T) performance. The PV/T system is subjected to Computational Fluid Dynamics (CFD) simulation, wherein graphene nanofluids of different volume concentrations (φ = 0%, 0.1%, 0.2%, and 0.3%) and mass flow rates (ṁ = 0.065, 0.075, and 0.085 kg/s) are employed. The PV/T system demonstrated enhanced performance as a result of the implementation of the proposed approach, which effectively reduced the temperature of the solar cell during the period of maximum solar radiation, spanning from 9 AM to 4 PM. The utilization of the system was employed for the generation of thermal and electrical energy due to its respective thermal and electrical efficiency of 67% and 11.5%. The completed research has demonstrated that the integration of graphene nanofluids has the potential to enhance the efficiency of PV/T systems.
Item Type: | Article |
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Uncontrolled Keywords: | Solar energy, Photovoltaic thermal, Simulation, Nanofluids, Graphene, Efficiency, Computational fluid dynamics |
Divisions: | Faculty Of Mechanical Technology And Engineering |
Depositing User: | Sabariah Ismail |
Date Deposited: | 25 Jul 2024 09:27 |
Last Modified: | 25 Jul 2024 09:27 |
URI: | http://eprints.utem.edu.my/id/eprint/27522 |
Statistic Details: | View Download Statistic |
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