标题:Optimization design and simulationanalysis of composite material anti-/deicing component for wind turbine blade
作者:Chen, Long; Zhang, Yidu; Liu, Zhanqiang
通讯作者:Chen, L
作者机构:[Chen, Long; Liu, Zhanqiang] Shandong Univ, Sch Mech Engn, Jinan 250061, Shandong, Peoples R China.; [Zhang, Yidu] Beihang Univ, Sch Mech Engn & Aut 更多
会议名称:3rd International Conference on Energy Engineering and Environmental Protection (EEEP)
会议日期:NOV 19-21, 2018
来源:THIRD INTERNATIONAL CONFERENCE ON ENERGY ENGINEERING AND ENVIRONMENTAL PROTECTION
出版年:2019
卷:227
期:3
DOI:10.1088/1755-1315/227/3/032035
摘要:Wind turbine blades are prone to icing under extreme working conditions, which will reduce the efficiency of wind power generation and seriously affect the service life of wind power system. Therefore, the anti-icing problem of wind turbine blades has become one of the hot topics in wind power technology research. It is of great practical significance to develop anti-icing/deicing technology for wind turbine blades for the safe and effective operation of wind power. In this paper, the numerical simulation optimization design for composite material wind turbine blades anti-/deicing component was studied, and the orthogonal optimization method was employed to optimize the parameters of the wind turbine blade to prevent ice formation. The optimization group parameter group is obtained. Through the wind turbine blade temperature distribution simulation, the correctness of the optimization results of the composite material anti-/deicing component was analyzed. The purpose of this paper is to optimize the heat transfer of anti-/deicing component for composite material wind turbine blade, and lay a theoretical and technical foundation for effectively solving the problem of wind turbine blade icing, which proposing a new composite wind turbine blade anti-/deicing scheme.
收录类别:CPCI-S;EI;SCOPUS
资源类型:会议论文;期刊论文
原文链接:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85063530795&doi=10.1088%2f1755-1315%2f227%2f3%2f032035&partnerID=40&md5=7903e397f2d66f2a758ed7d9997075a5
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