CASIA OpenIR  > 复杂系统认知与决策实验室  > 先进机器人
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
ISSN0959-6526
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
DOI10.1016/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
被引频次:49[WOS]   [WOS记录]     [WOS相关记录]
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.
条目包含的文件
条目无相关文件。
个性服务
推荐该条目
保存到收藏夹
查看访问统计
导出为Endnote文件
谷歌学术
谷歌学术中相似的文章
[Cai, Shibo]的文章
[Bao, Guanjun]的文章
[Ma, Xiaolong]的文章
百度学术
百度学术中相似的文章
[Cai, Shibo]的文章
[Bao, Guanjun]的文章
[Ma, Xiaolong]的文章
必应学术
必应学术中相似的文章
[Cai, Shibo]的文章
[Bao, Guanjun]的文章
[Ma, Xiaolong]的文章
相关权益政策
暂无数据
收藏/分享
所有评论 (0)
暂无评论
 

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。