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- W3173303640 abstract "Numerical simulations of photovoltaic solar panels are performed using temperature-dependent layer properties. The results are compared with experimental data recorded from a 50 W mono-crystalline panel and a 50 W poly-crystalline panel. The comparison shows that, for both panels, introducing temperature dependencies in the layer properties can significantly improve the accuracy of numerical simulations. On a sample day in August 2019, the mean absolute error in power prediction is found to decrease from 9.13 to 4.32% for the mono-crystalline panel and from 9.49 to 5.55% for the poly-crystalline panel, representing accuracy improvements of 52.7% and 41.5%, respectively. On an annual basis, the accuracy of estimating the power generated by the mono- and poly-crystalline panels improves by 52.8% and 41.4%, respectively. Finally, it is found that as the standard deviation of the temperature distribution on the panel increases, so does the effect of the temperature-dependent layer properties. This study highlights the need to account for the temperature dependencies of the different layer properties when numerically simulating photovoltaic panels." @default.
- W3173303640 created "2021-07-05" @default.
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- W3173303640 date "2021-10-01" @default.
- W3173303640 modified "2023-10-11" @default.
- W3173303640 title "A method for improving the accuracy of numerical simulations of a photovoltaic panel" @default.
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- W3173303640 doi "https://doi.org/10.1016/j.seta.2021.101433" @default.
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