Performance Evaluation and Optimization of a Photovoltaic/Thermal (PV/T) System according to Climatic Conditions

Ehsanolah Assareh (), Masoud Jafarian, Mojtaba Nedaei (), Mohammad Firoozzadeh and Moonyong Lee ()
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Ehsanolah Assareh: School of Chemical Engineering, Yeungnam University, Gyeongsan 38541, Korea
Masoud Jafarian: Department of Mechanical Engineering, Dezful Branch, Islamic Azad University, Dezful 313, Iran
Mojtaba Nedaei: Department of Management and Engineering, University of Padua, 36100 Vicenza, Italy
Mohammad Firoozzadeh: Department of Mechanical Engineering, Jundi-Shapur University of Technology, Dezful 334-64615, Iran
Moonyong Lee: School of Chemical Engineering, Yeungnam University, Gyeongsan 38541, Korea

Energies, 2022, vol. 15, issue 20, 1-14

Abstract: Population and economic growth, industrial activities, development of technology, and depletion of fossil fuels have all led to increasing energy demand. As a result, there is an increasing ambition towards implementation of sustainable energy sources. In this study, first, a review of the literature is conducted to learn about various methods and objectives for optimization of photovoltaic and thermal (PV/T) systems. Then, a case study is considered, and the seasonal and hourly solar radiation are studied. Further, two methods of multiobjective evolutionary algorithm based on decomposition (MOEA/D) and multiobjective particle swarm optimization (MOPSO) are compared. On this basis, the energy and exergy efficiencies are analyzed for a proposed PV/T system. The outcomes are validated by taking into account the previous studies, and a sufficient agreement is found indicating the validity and accuracy of the results. It is also found that the efficiency rates for both energy and exergy soar with a rise in the ambient temperature. Additionally, a growth in the warm water flow rate from 0.4 to 1 kg/s increases the exergy efficiency by 0.6%. It is concluded that the MOEA/D method outperforms the MOPSO in terms of the optimization of the proposed PV/T system.

Keywords: optimization; MOEA/D; MOPSO; PV/T; energy; exergy; efficiency (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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