Abstract：
The photovoltaic modules are mostly installed outdoors, exposing them to different conditions. These conditions significantly affect their performance. One of the most influential factors on photovoltaic modules is the soiling phenomenon from dust deposition. Dust deposition on the surface of the modules causes transmittance loss. Some studies in different parts of the world have tried to find mathematical correlations between particulate deposition and transmittance. These correlations are a function of dust characteristics and environmental factors. This study proposes a new methodology to mathematically combine the photovoltaic model and transmittance loss correlations. The proposed model could examine and predict the effect of soiling on photovoltaic modules\' performance. Three photovoltaic modules with different capacities are selected. Using the proposed model, they are modeled by assuming clean and dirty photovoltaic surfaces depending on the installation conditions. This study is based on actual data from the center of Tehran, located at 35° 41\' north latitude and 51° 23\' east longitude for 12 months in the year 2020. The module\'s performance was investigated in the presence of dust. The presented results are validated by comparing them with other studies. The results show that the soiling effect is not dependent on the modules\' capacity.
摘要：
光伏组件大多安装在室外，让他们暴露在不同的条件下。这些条件显著影响其性能。对光伏组件影响最大的因素之一是灰尘沉积引起的污染现象。模块表面上的灰尘沉积导致透射率损失。世界不同地区的一些研究试图找到颗粒沉积和透射率之间的数学相关性。这些相关性是粉尘特性和环境因素的函数。这项研究提出了一种新的方法来数学地结合光伏模型和透射率损失相关性。所提出的模型可以检查和预测污染对光伏组件性能的影响。选择具有不同容量的三个光伏组件。使用所提出的模型，根据安装条件，通过假设清洁和肮脏的光伏表面对它们进行建模。这项研究基于德黑兰中心的实际数据，位于北纬35°41°，东经51°23°，2020年12个月。在存在灰尘的情况下研究模块的性能。通过与其他研究进行比较，验证了所提出的结果。结果表明，污染效应不依赖于模块的容量。
