The electrical energy produced by a photovoltaic system is directly associated with the availability of solar radiation. Nonetheless, external factors related to location and geographical conditions – such as atmospheric temperature, clouds, and altitude - can have major impacts on energy generation. One of these externalities is the sedimentation of materials on the surface of the photovoltaic module, which leads to significant reductions in the power generation capacity, resulting in costs to the generating plants. Cleaning is considered the most efficient maintenance to mitigate the impacts of soiling on photovoltaic modules. Therefore, this work aims to develop a model for analysis and optimization of preventive maintenance plans for cleaning photovoltaic modules, to mitigate the effects of dust deposition on energy generation and, consequently, on operational cash flow. Costs of production loss due to soiling were considered, as well as corresponding maintenance costs, as a function of the frequency of cleaning, and thus accounted for the OPEX costs of the power plant operation, to identify an optimum point of cleaning frequency, minimizing OPEX costs.

中文翻译：

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光伏电站防污维护的经济优化


光伏系统产生的电能与太阳辐射的可用性直接相关。尽管如此，与位置和地理条件相关的外部因素（例如大气温度、云层和海拔）可能对能源产生产生重大影响。这些外部因素之一是光伏组件表面材料的沉积，这会导致发电能力大幅下降，从而增加发电厂的成本。清洁被认为是减轻污垢对光伏组件影响的最有效的维护方法。因此，这项工作旨在开发一个模型，用于分析和优化清洁光伏组件的预防性维护计划，以减轻灰尘沉积对发电的影响，从而减轻对运营现金流的影响。考虑了由于污染而造成的生产损失成本以及相应的维护成本，作为清洁频率的函数，从而考虑了发电厂运营的运营成本，以确定清洁频率的最佳点，从而最大限度地降低运营成本成本。