Abstract
To further elucidate the impact of fluctuations in environmental temperature and radiation intensity within a day on the temperature and performance of photovoltaic systems with and without nanofluid cooling, this study established a photovoltaic panel temperature and efficiency calculation model based on a nanofluid cooling system that considers the dynamic changes of photovoltaic panel temperature and air temperature over time. An empirical formula for predicting photovoltaic panel efficiency has been derived based on experimental data. Then a PV panel temperature and efficiency calculation model is established and validated. The simulation results show that using nanofluids to cool the PV panel can significantly reduce the temperature and improve the PV efficiency. Compared to the bare PV panel, the average PV panel temperature decreases by 7.99 ℃, 8.48 ℃, and 8.92 ℃ respectively when nanofluid volume fraction is 1 vol%, 3 vol%, and 5 vol%, and it decreases by 8.48 ℃, 9.27 ℃, and 9.94 ℃ respectively when nanofluid mass flow rate is 0.08 m3/h, 0.10 m3/h, and 0.12 m3/h. As the nanofluids' concentration increases, nanofluids' cooling ability in the high temperature range also increases.
Published Version
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