The study of the effect of soiling on photovoltaic (PV) system performance is a crucial issue judging from numerous research publications. The reduction in the PV system performance is because of soiling that differs from one climatic region to another. In this research, the power losses due to soiling of the PV systems in Malaysia based on the calculation of a dirt derating factor $({{f_{{\rm{dirt}}}}})$ were determined. A new mathematical model to correlate ${f_{{\rm{dirt}}}}$ and the PV module area was developed based on the regression analysis from a site data location. The findings indicate that the effect of soiling reduces the PV systems output power at an average of 26.22% at Setiu over a period of 12 months. From this study also, a new mathematical model was created for ${f_{{\rm{dirt}}}}$ forecasting in the research site. Uniquely, this mathematical model can do the prediction by only known PV module area or size as the independent variable, much simpler than using the multivariables equation.

中文翻译：

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确定光伏输出中污染降额因子的建模

从众多研究出版物来看，污染对光伏 (PV) 系统性能影响的研究是一个关键问题。光伏系统性能的降低是由于一个气候区域与另一个气候区域的污染不同。在这项研究中，基于污垢降额系数的计算，马来西亚光伏系统因污染而导致的功率损失$({{f_{{\rm{污垢}}}}})$被确定。一种新的数学模型来关联${f_{{\rm{污垢}}}}$光伏组件区域是根据站点数据位置的回归分析开发的。研究结果表明，在 12 个月的时间里，污垢的影响使 Setiu 的光伏系统输出功率平均降低了 26.22%。从这项研究中，还创建了一个新的数学模型${f_{{\rm{污垢}}}}$在研究站点进行预测。独特的是，该数学模型可以仅以已知的光伏组件面积或尺寸作为自变量进行预测，比使用多变量方程简单得多。