Dust is the cause of generation reduction of solar photovoltaic (SPV) modules from the day it is installed. Its deposition depends on geographical location of a module where it is installed, due to difference in meteorological events, causing variation in generation efficiency. In an earlier article, the dry deposition processes are modeled in which effects of relative humidity (RH) and precipitation are not considered. In this article, a more generalized mathematical model for dust deposition under varying humidity and precipitation condition is developed. The increase in deposition with different RH has been investigated using the developed model demonstrating an appreciable effect. The contribution of different types of precipitation is also included. The model based observations are utilized to calculate the energy generation under different meteorological events over a specific period and compared with the measured ones over the same time span from a 10 kWp SPV power plant at IIEST, Shibpur. The deviations are found to be within ±6% establishing the efficacy of the model.

中文翻译：

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模拟相对湿度和降水对光伏灰尘积累过程的影响


灰尘是导致太阳能光伏（SPV）模块从安装之日起发电量减少的原因。它的沉积取决于组件安装的地理位置，由于气象事件的差异，导致发电效率的变化。在之前的一篇文章中，对干沉降过程进行了建模，其中没有考虑相对湿度 (RH) 和降水的影响。在本文中，开发了一个更通用的在不同湿度和降水条件下灰尘沉积的数学模型。使用开发的模型研究了不同相对湿度下沉积的增加，显示出明显的效果。还包括不同类型降水的贡献。基于模型的观测数据用于计算特定时期内不同气象事件下的发电量，并与 Shibpur IIEST 的 10 kWp SPV 发电厂在同一时间范围内的测量发电量进行比较。发现偏差在 ±6% 以内，从而确定了模型的有效性。