Blade design and optimization of a horizontal axis tidal turbine

被引：56

作者：

Zhu, Fu-wei ^{[1
]}

Ding, Lan ^{[2
]}

Huang, Bin ^{[2
]}

Bao, Ming ^{[1
]}

Liu, Jin-Tao ^{[3
]}

机构：

[1] Hangzhou LHD New Energy Technol Co Ltd, Hangzhou 310050, Peoples R China

[2] Zhejiang Univ, Ocean Coll, Zhoushan 316021, Peoples R China

[3] Beijing Inst Control Engn, Beijing 100190, Peoples R China

来源：

OCEAN ENGINEERING | 2020年 / 195卷

基金：

中国国家自然科学基金;

关键词：

Horizontal axis tidal turbine; Genetic optimization; Power efficient; PERFORMANCE;

D O I：

10.1016/j.oceaneng.2019.106652

中图分类号：

U6 [水路运输]; P75 [海洋工程];

学科分类号：

0814 ; 081505 ; 0824 ; 082401 ;

摘要：

Tidal turbine is a device which converts the kinetic energy of water into electric energy. The blade element momentum theory (BEM) is used to design the blade in this paper. Although tidal power resources are abundant, the actual operation of hydraulic turbines is not very good due to the limitations of turbine conversion efficiency and production cost. Therefore, this paper establishes a neural network model for variables and objective functions, and then applies multi-objective optimization algorithm to genetic optimization of the power coefficient, the main index of hydraulic performance of tidal turbines. The optimized results are verified by model test and sea trial. The results show that after optimizing the blade chord length distribution and pitch Angle distribution, the power coefficient of the turbine increases by 2%, and the optimal tip speed ratio range is also expanded, which is more conducive to the actual tidal turbine power generation, and has certain engineering significance.

引用

页数：10

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