干旱区生态环境知识资源中心(Arid): Soiling Quantification Using an Image-Based Method: Effects of Imaging Conditions

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DOI	10.1109/JPHOTOV.2020.3018257
	Soiling Quantification Using an Image-Based Method: Effects of Imaging Conditions
	Yang, Mingda; Ji, Jim; Guo, Bing
通讯作者	Yang, MD
来源期刊	IEEE JOURNAL OF PHOTOVOLTAICS
ISSN	2156-3381
EISSN	2156-3403
出版年	2020
卷号	10 期号:6 页码:1780-1787
英文摘要	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.
英文关键词	Photovoltaic systems Brightness Solar energy Surface cleaning Image processing Solar power generation Cameras Image processing photovoltaic (PV) quantification soiling loss solar energy
类型	Article
语种	英语
收录类别	SCI-E
WOS记录号	WOS:000582595800033
WOS关键词	DUST ; PERFORMANCE
WOS类目	Energy & Fuels ; Materials Science, Multidisciplinary ; Physics, Applied
WOS研究方向	Energy & Fuels ; Materials Science ; Physics
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/327138
作者单位	[Yang, Mingda; Ji, Jim] Texas A&M Univ, Dept Elect & Comp Engn, College Stn, TX 77843 USA; [Guo, Bing] Texas A&M Univ, Dept Mech Engn, Doha 23874, Qatar
推荐引用方式 GB/T 7714	Yang, Mingda,Ji, Jim,Guo, Bing. Soiling Quantification Using an Image-Based Method: Effects of Imaging Conditions[J],2020,10(6):1780-1787.
APA	Yang, Mingda,Ji, Jim,&Guo, Bing.(2020).Soiling Quantification Using an Image-Based Method: Effects of Imaging Conditions.IEEE JOURNAL OF PHOTOVOLTAICS,10(6),1780-1787.
MLA	Yang, Mingda,et al."Soiling Quantification Using an Image-Based Method: Effects of Imaging Conditions".IEEE JOURNAL OF PHOTOVOLTAICS 10.6(2020):1780-1787.