Ambient particulate matter in urban environments is dynamic and heterogeneous; therefore, understanding photovoltaic energy loss due to soiling is challenging. Silicon reference cells were deployed in an urban-industrial area in Colorado colocated with measurements of ambient particulate matter concentrations. Regressing measured soiling ratios against cumulative sums of ambient coarse particulate matter since the last precipitation event and ambient fine particulate matter since the first day of deployment produces a root-mean-square error of approximately 0.013. This model partially addresses the challenge of quantifying the relationships between ambient air quality and photovoltaic soiling.

中文翻译：

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通过空气质量测量预测光伏污染

城市环境中的环境颗粒物是动态且异质的；因此，了解由于污染导致的光伏能量损失具有挑战性。硅参考电池被部署在科罗拉多州的一个城市工业区，与环境颗粒物浓度的测量并置。将测量的污染率与自上次降水事件以来的环境粗颗粒物和自部署第一天以来的环境细颗粒物的累积总和进行回归，产生大约 0.013 的均方根误差。该模型部分解决了量化环境空气质量与光伏污染之间关系的挑战。