干旱区生态环境知识资源中心(Arid): Google Earth Engine for the Detection of Soiling on Photovoltaic Solar Panels in Arid Environments

Arid

DOI	10.3390/rs12091466
	Google Earth Engine for the Detection of Soiling on Photovoltaic Solar Panels in Arid Environments
	Supe, Hitesh 1; Avtar, Ram 1,2; Singh, Deepak 3; Gupta, Ankita 4; Yunus, Ali P.5; Dou, Jie 6; Ravankar, Ankit A.7; Mohan, Geetha 8; Chapagain, Saroj Kumar 8; Sharma, Vivek 9; Singh, Chander Kumar 10; Tutubalina, Olga 11; Kharrazi, Ali 12,13,14,15
通讯作者	Avtar, Ram
来源期刊	REMOTE SENSING
EISSN	2072-4292
出版年	2020
卷号	12 期号:9
英文摘要	The soiling of solar panels from dry deposition affects the overall efficiency of power output from solar power plants. This study focuses on the detection and monitoring of sand deposition (wind-blown dust) on photovoltaic (PV) solar panels in arid regions using multitemporal remote sensing data. The study area is located in Bhadla solar park of Rajasthan, India which receives numerous sandstorms every year, carried by westerly and north-westerly winds. This study aims to use Google Earth Engine (GEE) in monitoring the soiling phenomenon on PV panels. Optical imageries archived in the GEE platform were processed for the generation of various sand indices such as the normalized differential sand index (NDSI), the ratio normalized differential soil index (RNDSI), and the dry bare soil index (DBSI). Land surface temperature (LST) derived from Landsat 8 thermal bands were also used to correlate with sand indices and to observe the pattern of sand accumulation in the target region. Additionally, high-resolution PlanetScope images were used to quantitatively validate the sand indices. Our study suggests that the use of freely available satellite data with semiautomated processing on GEE can be a useful alternative to manual methods. The developed method can provide near real-time monitoring of soiling on PV panels cost-effectively. This study concludes that the DBSI method has a comparatively higher potential (89.6% Accuracy, 0.77 Kappa) in the detection of sand deposition on PV panels as compared to other indices. The findings of this study can be useful to solar energy companies in the development of an operational plan for the cleaning of PV panels regularly.
英文关键词	land surface temperature normalized differential sand index soiling of solar panels
类型	Article
语种	英语
国家	Japan ; Peoples R China ; India ; Russia ; Austria ; Italy
开放获取类型	Green Submitted, gold
收录类别	SCI-E
WOS记录号	WOS:000543394000113
WOS关键词	LAND-SURFACE TEMPERATURE ; DUST DEPOSITION ; RETRIEVAL ; RAINFALL ; IMPACT ; SAND
WOS类目	Environmental Sciences ; Geosciences, Multidisciplinary ; Remote Sensing ; Imaging Science & Photographic Technology
WOS研究方向	Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/319750
作者单位	1.Hokkaido Univ, Grad Sch Environm Earth Sci, Sapporo, Hokkaido 0600810, Japan; 2.Hokkaido Univ, Fac Environm Earth Sci, Sapporo, Hokkaido 0600810, Japan; 3.Chinese Univ Hong Kong, Dept Geog & Resource Management, Sha Tin, Hong Kong, Peoples R China; 4.Hokkaido Univ, Grad Sch Informat Sci & Technol, Sapporo, Hokkaido 0600814, Japan; 5.Chengdu Univ Technol, State Key Lab Geohazard Prevent & Geoenvironm Pro, Chengdu 610059, Peoples R China; 6.Nagaoka Univ Technol, Dept Civil & Environm Engn, Nagaoka, Niigata 9402188, Japan; 7.Hokkaido Univ, Fac Engn, Div Human Mech Syst & Design, Sapporo, Hokkaido 0608628, Japan; 8.United Nat Univ UNU IAS, Inst Adv Study Sustainabil, Tokyo 1508925, Japan; 9.Rajasthan Renewable Energy Corp Ltd RRECL, Jaipur 302001, Rajasthan, India; 10.TERI Sch Adv Studies, Dept Energy & Environm, New Delhi 110070, India; 11.Moscow MV Lomonosov State Univ, Fac Geog, Moscow 119991, Russia; 12.Int Inst Appl Syst Anal, Adv Syst Anal Grp, Schlosspl 1, A-2361 Laxenburg, Austria; 13.CMCC Fdn Euromediterranean Ctr Climate Change, I-30175 Venice, Italy; 14.CaFoscari Univ Venice, I-30175 Venice, Italy; 15.Akita Int Univ, Fac Int Liberal Arts Global Studies Program, Yuwa City, Akita 0101292, Japan
推荐引用方式 GB/T 7714	Supe, Hitesh,Avtar, Ram,Singh, Deepak,et al. Google Earth Engine for the Detection of Soiling on Photovoltaic Solar Panels in Arid Environments[J],2020,12(9).
APA	Supe, Hitesh.,Avtar, Ram.,Singh, Deepak.,Gupta, Ankita.,Yunus, Ali P..,...&Kharrazi, Ali.(2020).Google Earth Engine for the Detection of Soiling on Photovoltaic Solar Panels in Arid Environments.REMOTE SENSING,12(9).
MLA	Supe, Hitesh,et al."Google Earth Engine for the Detection of Soiling on Photovoltaic Solar Panels in Arid Environments".REMOTE SENSING 12.9(2020).