CASIA OpenIR
Parameters optimization of the dust absorbing structure for photovoltaic panel cleaning robot based on orthogonal experiment method
Cai, Shibo1; Bao, Guanjun1; Ma, Xiaolong1; Wu, Wanqing2; Bian, Gui-Bin3; Rodrigues, Joel J. P. C.4,5; de Albuquerque, Victor Hugo C.6
Source PublicationJOURNAL OF CLEANER PRODUCTION
ISSN0959-6526
2019-04-20
Volume217Pages:724-731
Corresponding AuthorBian, Gui-Bin(guibin.bian@ia.ac.cn)
AbstractDust accumulation on the photovoltaic (PV) panels is one of the important factors that influence the PV power generation efficiency. Autonomous robot is one of the promising way to clean the PV panels effectively, in which the absorbing flow rate to a large extent determines the cleaning performance and usage effectiveness of power supply. In this paper, the air-solid two-phase flow control equations for the dust absorbing process, the mechanical behavior of the dust particles and the relationship between the pressure distribution and the dust particle velocity are analyzed theoretically for Computational Fluid Dynamics (CFD) simulation. Orthogonal experiment method is employed to optimize the structure parameters for suction inlet of PV panel cleaning robots. The suction inlet height, inlet width, outlet height, outlet width and necking radius are simplified as 16 sets of typical test optimization problem. The fluid calculation software ANSYS Fluent is adopted to execute the simulation. The optimal result is that the inlet width is 650 mm, the inlet height is 6 mm, the outlet width is 175 mm, the outlet height is 100 mm and the necking radius is 350 mm. Experiment based on the optimized structural parameters was carried out, which implies the compatibility with the simulating result. And the average wind speed at the suction inlet is 41.8 m/s, which verifies the structure optimization. (C) 2019 Elsevier Ltd. All rights reserved.
KeywordCleaning robot Orthogonal experiment Parameter optimization Photovoltaics
DOI10.1016/j.jclepro.2019.01.135
WOS KeywordARRAYS
Indexed BySCI
Language英语
Funding ProjectNational Natural Science Foundation of China[51605434] ; National Natural Science Foundation of China[51775499] ; National Funding from the FCT - Fundacao para a Ciencia e a Tecnologia[UID/EEA/500008/2019] ; Finep, under the Radio communication Reference Center (Centro de Referencia em Radiocomunicacoes -CRR) project of the National Institute of Telecommunications (Institute Nacional de Telecomunicacoes - Inatel), Brazil[01.14.0231.00] ; Brazilian National Council for Research and Development (CNPq)[309335/2017-5] ; Brazilian National Council for Research and Development (CNPq)[304315/2017-6] ; Brazilian National Council for Research and Development (CNPq)[430274/2018-1]
Funding OrganizationNational Natural Science Foundation of China ; National Funding from the FCT - Fundacao para a Ciencia e a Tecnologia ; Finep, under the Radio communication Reference Center (Centro de Referencia em Radiocomunicacoes -CRR) project of the National Institute of Telecommunications (Institute Nacional de Telecomunicacoes - Inatel), Brazil ; Brazilian National Council for Research and Development (CNPq)
WOS Research AreaScience & Technology - Other Topics ; Engineering ; Environmental Sciences & Ecology
WOS SubjectGreen & Sustainable Science & Technology ; Engineering, Environmental ; Environmental Sciences
WOS IDWOS:000461410100072
PublisherELSEVIER SCI LTD
Citation statistics
Cited Times:2[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/24965
Collection中国科学院自动化研究所
Corresponding AuthorBian, Gui-Bin
Affiliation1.Zhejiang Univ Technol, Minist Educ & Zhejiang Prov, Key Lab E&M, Hangzhou 310032, Zhejiang, Peoples R China
2.SIAT, CAS Key Lab Human Machine Intelligence Synergy Sy, Shenzhen 518055, Peoples R China
3.Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China
4.Univ Beira Interior, Inst Telecomunicacoes, Covilha, Portugal
5.Natl Inst Telecommun Inatel, Santa Rita Do Sapucai, MG, Brazil
6.Univ Fortaleza UNIFOR, Fortaleza, Ceara, Brazil
Corresponding Author AffilicationChinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China
Recommended Citation
GB/T 7714
Cai, Shibo,Bao, Guanjun,Ma, Xiaolong,et al. Parameters optimization of the dust absorbing structure for photovoltaic panel cleaning robot based on orthogonal experiment method[J]. JOURNAL OF CLEANER PRODUCTION,2019,217:724-731.
APA Cai, Shibo.,Bao, Guanjun.,Ma, Xiaolong.,Wu, Wanqing.,Bian, Gui-Bin.,...&de Albuquerque, Victor Hugo C..(2019).Parameters optimization of the dust absorbing structure for photovoltaic panel cleaning robot based on orthogonal experiment method.JOURNAL OF CLEANER PRODUCTION,217,724-731.
MLA Cai, Shibo,et al."Parameters optimization of the dust absorbing structure for photovoltaic panel cleaning robot based on orthogonal experiment method".JOURNAL OF CLEANER PRODUCTION 217(2019):724-731.
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