Dust Soiling Concentration Measurement on Solar Panels based on Image Entropy

Hicham Tribak, Y. Zaz
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引用次数: 6

Abstract

Solar plants are often set up in desert and arid areas, characterised by rough operating conditions (e.g. Dust soiling, rainfall scarcity). Dust soiling accumulation on Photovoltaic (PV) panels adversely influences on their efficiency, in such a way, panel power decreases considerably. Once dust soiling concentration exceeds a certain level, the triggering of the cleaning process becomes a necessity. In this paper, we propose a novel image processing-based system that allows achieving two-fold measurements, starting with the quantification of dust soiling particles concentration deposited on the outer surface of solar panels. Furthermore, the proposed system permits estimating the produced power decrease rate of the inspected PV panels as well. This estimation is mainly achieved through the use of a well-distinguished telltalle i.e., small plasticised paper of size 20×10cm. This telltale is characterised with a distinctive texture (Grid texture). By calculating the image Entropy of the evoked telltale, the concentration of dust particles deposited on the solar panels can be precisely calculated.
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基于图像熵的太阳能电池板粉尘污染浓度测量
太阳能发电厂通常建在沙漠和干旱地区,其特点是操作条件恶劣(例如灰尘污染、降雨稀少)。光伏板上的粉尘积垢会影响光伏板的使用效率,使光伏板的功率大大降低。一旦粉尘污染浓度超过一定水平,就必须触发清洗过程。在本文中,我们提出了一种新的基于图像处理的系统,可以实现双重测量,从沉积在太阳能电池板外表面的灰尘污染颗粒浓度的量化开始。此外,所提出的系统还允许估计被检查的光伏板的产生功率下降率。这种估计主要是通过使用一种非常明显的告密者,即尺寸为20×10cm的小型塑化纸来实现的。这个告密者的特点是具有独特的纹理(网格纹理)。通过计算诱发信号的图像熵,可以精确计算出沉积在太阳能电池板上的尘埃颗粒的浓度。
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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