Knowledge Commons of Institute of Automation,CAS
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 | |
发表期刊 | JOURNAL OF CLEANER PRODUCTION |
ISSN | 0959-6526 |
2019-04-20 | |
卷号 | 217页码:724-731 |
通讯作者 | Bian, Gui-Bin(guibin.bian@ia.ac.cn) |
摘要 | Dust 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. |
关键词 | Cleaning robot Orthogonal experiment Parameter optimization Photovoltaics |
DOI | 10.1016/j.jclepro.2019.01.135 |
关键词[WOS] | ARRAYS |
收录类别 | SCI |
语种 | 英语 |
资助项目 | National 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] ; National 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] |
项目资助者 | National 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研究方向 | Science & Technology - Other Topics ; Engineering ; Environmental Sciences & Ecology |
WOS类目 | Green & Sustainable Science & Technology ; Engineering, Environmental ; Environmental Sciences |
WOS记录号 | WOS:000461410100072 |
出版者 | ELSEVIER SCI LTD |
七大方向——子方向分类 | 智能机器人 |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/24965 |
专题 | 复杂系统认知与决策实验室_先进机器人 |
通讯作者 | Bian, Gui-Bin |
作者单位 | 1.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 |
通讯作者单位 | 中国科学院自动化研究所 |
推荐引用方式 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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