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Numerical analysis and optimization of a novel photovoltaic thermal solar unit improved by Nano-PCM as an energy storage media and finned collector

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  • Shakibi, Hamid
  • Shokri, Afshar
  • Sobhani, Behnam
  • Yari, Mortaza

Abstract

An increment in temperature will deteriorate the efficiency of photovoltaic systems dramatically. The application of a cooling mechanism can reduce the operating temperature and perform a better operation. Therefore, in this research, a nanoparticle-based phase change material (PCM) layer is combined with finned collectors as the condenser for higher electricity generation in photovoltaic/thermal (PV/T) collectors. The temperature distribution of the PCM layer in both solid and fully melted phases are poked to identify the effect of the Nano-PCM layer on the mentioned system efficiency. Afterward, a big data collection is created and employed to introduce a deep learning model to tune and find the best network. Ultimately, the gilt-edged network is optimized using LINMAP, TOPSIS, as well as Shannon entropy decision makings and Gray Wolf Optimization (GWO), Bat algorithm (BA), Particle swarm optimization (PSO), and Biogeography-based optimization (BBO) techniques. The results indicated that the maximum thermal efficiency values are obtained at wind speed values less than 2 m/s and DNI higher than 950 W/m2. Considering their mentioned impacts on thermal efficiency, this variable of the renewable unit changes by 10–24%. Moreover, the optimal condition reveals the optimum melted PCM, the coolant outlet temperature, and the electrical efficiency of 6.497 kg, 37.72 °C, and 13.92%, respectively. It is concluded that compared with the traditional systems, enhancement in electrical efficiency can be achieved by Nano-PCM layer utilization as cooling media.

Suggested Citation

  • Shakibi, Hamid & Shokri, Afshar & Sobhani, Behnam & Yari, Mortaza, 2023. "Numerical analysis and optimization of a novel photovoltaic thermal solar unit improved by Nano-PCM as an energy storage media and finned collector," Renewable and Sustainable Energy Reviews, Elsevier, vol. 179(C).
    • Handle: RePEc:eee:rensus:v:179:y:2023:i:c:s1364032123000862
    DOI: 10.1016/j.rser.2023.113230
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