Modeling and optimization of photovoltaic thermal system under recyclic operation by response surface methodology

Ajay Kumar and Prashant Dhiman

Renewable Energy, 2023, vol. 203, issue C, 228-244

Abstract: Cooling of the photovoltaic modules is an important requirement to enhance their performance and lifespan. Therefore, a significant enhancement in heat transfer and electrical characteristics of photovoltaic thermal (PVT) collectors under recycling operation has become one of the attractive options. In the present study, the statistical models have been introduced by applying the response surface methodology (RSM) to examine the performance parameters viz; thermal efficiency, electrical efficiency, the temperature of PV module, thermal energy gain, and net electrical power of recycling type PVT system and correlate them with the operational parameters, including the packing factor, mass flow rate, recycle and channel depth ratio. For data formulation, a standard RSM design of 24 full factorials called a central composite design (CCD) has been used. Analysis of variance (ANOVA) revealed the value of the significant coefficient (R2) closer to one, which means the superior response model fits the analytical data and the optimized values of the operational parameters for the efficient performance of the PVT system are established. ANOVA findings demonstrate that mass flow rate is the most significant input factor influencing the thermal and electrical performance of the PVT system.

Keywords: Response surface methodology; Central composite design; Photovoltaic thermal system; Analysis of variance; Net electrical power (search for similar items in EconPapers)
Date: 2023
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Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:renene:v:203:y:2023:i:c:p:228-244

DOI: 10.1016/j.renene.2022.12.053

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