Performance assessment of hybrid PVT air collector using GSA-CS algorithm

Abstract

In the last few decades, enormous attention is drawn towards PV/T systems due to their advantages as compared to solar PV or solar thermal systems individually. In this proposed paper, hybrid Gravitational Search Algorithm (GSA)-Cuckoo Search (CS) has been implemented to optimize the parameters of glazed hybrid PVT air collector. Although there are various parameters which affects the thermal and electrical performance of PVT system but in this paper only four parameters namely Channel length below the PV panel, channel depth, velocity of fluid flowing through the channel and temperature of fluid at the inlet of the channel have been considered for optimization using the hybrid approach. The outcomes shows that GSA-CS algorithm is proved to be very efficient techniques to be used to optimized the parameters of hybrid PVT module. The result of the analysis shows that the average value of exergy efficiency is 14.8228% when the parameters are optimized using hybrid GSA-CS algorithm.