Results of Environmental-Based PV Soiling Models after Extreme Dust Events: The Case of Saharan Dust Intrusions in Southern Spain

J. G. Bessa, Álvaro F. Solas, F. A. Cruz, E. Fernández, L. Micheli
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Abstract

Soiling is a major issue that greatly determines the operation and maintenance cost of PV systems. The occurrence of extreme dust events in sites where typically the losses due to soiling are not high can significantly alter the cleaning schedule. In this work, two different environmental-based models are applied to estimate the soiling losses that two recent Saharan dust intrusions caused in a location in southern Spain. During the first one, a peak of PM10 equal to 904 μg/m was reached, and it became the most intense dust event registered in 10 years for both its intensity and its length, as it lasted almost three days. Due to these two factors that led to very low irradiance values during the episode, no measurements from a soiling station installed in the site were available. Therefore, the only approach to quantify the impact of this event was through environmental-based soiling extraction models. The results of these models showed both relatively high differences between them and a strong dependence with the cleaning threshold value. These issues are expected to impact the decision-making about the cleaning of PV modules. For example, non-negligible differences were found when considering a cleaning threshold of 1 mm/day or a cleaning threshold of 10 mm/day. In the first case, only 1 day with significant soiling losses (8.3% using Coello' model) is detected; whereas in the second case, the PV modules are supposed to be notably soiled (losses >=3D 8.3%) during 5 days.
极端沙尘事件后基于环境的PV污染模型的结果:以西班牙南部撒哈拉沙尘入侵为例
污染是决定光伏系统运行和维护成本的主要问题。在通常因污染造成的损失不高的地点发生极端粉尘事件可以显著改变清洁计划。在这项工作中,应用了两种不同的基于环境的模型来估计最近两次撒哈拉沙尘入侵在西班牙南部某地造成的污染损失。第一次持续了近3天,PM10峰值达到904 μg/m,无论从强度还是时间上看,都是10年来最严重的沙尘事件。由于这两个因素导致事件期间的辐照度值非常低,因此没有从现场安装的污染站获得测量数据。因此,量化这一事件影响的唯一方法是通过基于环境的污染提取模型。这些模型的结果表明,它们之间存在较大的差异,并且与清洗阈值有很强的依赖性。这些问题预计将影响光伏组件清洁的决策。例如,当考虑1毫米/天的清洁阈值或10毫米/天的清洁阈值时,发现了不可忽略的差异。在第一种情况下,仅检测到1天的严重污染损失(使用Coello模型为8.3%);而在第二种情况下,光伏组件应该在5天内被明显污染(损失>=3D 8.3%)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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