光伏系统
可再生能源
环境科学
遥感
航程(航空)
太阳能
公制(单位)
干旱
图像处理
计算机科学
图像(数学)
航空航天工程
人工智能
地质学
工程类
电气工程
古生物学
运营管理
作者
Mingda Yang,Jim Ji,Bing Guo
出处
期刊:IEEE Journal of Photovoltaics
日期:2020-11-01
卷期号:10 (6): 1780-1787
被引量:10
标识
DOI:10.1109/jphotov.2020.3018257
摘要
Solar power generation continues to grow as a dominant renewable energy source. Soiling because of dust accumulation is one of the important challenges facing large-scale solar photovoltaic (PV) plant operations, particularly, in the arid regions. The assessment and mitigation of soiling effects on large arrays of PV panels are often limited by the area coverage and how often data can be collected. To overcome this limitation, in this article, we propose a method to directly use images to quantify soiling on PV panels. A prototype lab system and image processing algorithm are developed to test the feasibility of the method. Specifically, a metric called black/white ratio is calculated from images of a surrogate surface with controlled dust loadings. Effects of different camera settings and view angles are investigated using lab experiments. The experimental results show that dust loading can be quantified under a range of proper imaging conditions, which indicates the potential to use aerial images for PV panel soiling quantification in the future.
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