Photovoltaic Dust Soiling Statistical Representation in Doha, Qatar

N. Barth, S. Aly, S. Ahzi, B. Figgis
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Abstract

Qatar' ‘s and the Gulf region's photovoltaic (PV) energy potential is very high. Still, there are tradeoffs under such tropical arid climate, particularly regarding dust soiling losses during the long dry season. In-field performance analyses of PVs under varying soiling states enable the quantification of dust soiling losses. Such estimate of the soiling losses is done a posteriori, using temperature-corrected performance ratios. In the current paper, we study how exceptional events such as sandstorms and rainfalls are identified using statistical analyses of the soiling losses rates. The aim is to generate sets of synthetic years describing the regular dust soiling rates, as well as the exceptionally observed meteorological events. The proposed sets of yearlong synthetic soiling conditions have identical average statistical representativeness as our ongoing in-field experimental measurements. This especially allows economic assessments such as the optimization of dust cleaning scenarios of PV projects.
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卡塔尔多哈光伏粉尘污染统计代表
卡塔尔和海湾地区的光伏(PV)能源潜力非常大。尽管如此,在这样的热带干旱气候下,还是有权衡的,特别是在漫长的旱季期间,沙尘污染的损失。不同污染状态下pv的现场性能分析可以量化粉尘污染损失。这种对污染损失的估计是使用经过温度校正的性能比进行后验的。在本文中,我们研究了如何使用土壤损失率的统计分析来识别沙尘暴和降雨等异常事件。其目的是生成一组描述常规尘埃污染率的合成年份,以及异常观测到的气象事件。所提出的全年合成污染条件集与我们正在进行的现场实验测量具有相同的平均统计代表性。这尤其允许进行经济评估,如优化光伏项目的除尘方案。
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