Design Optimization for Coating Fatigue Life of Wind Turbine Blades Considering Rain Erosion

doi:10.3901/JME.2022.17.002

Abstract

Abstract: Rain-induced fatigue damage is one of the most significant factors that affect the fatigue life of wind turbine blades, which attracts increasing attention in both industry and academia recently. To address this issue, a coating fatigue life design optimization method considering rain erosion is proposed in this paper. A Kriging surrogate model of coating fatigue life is constructed by a comprehensive computational framework which uses the rain intensity and the rotor rotational speed as the input of the surrogate model. Probability models of the rainfall intensity and the wind speed are constructed to characterize the duration information of rainfall intensity and wind speed. According to variation characteristics of fatigue life under different rain intensities, the constraint conditions are constructed to reduce the size of design space. Combined with the characteristics of power coefficient of a wind turbine, the initial rotor rotational speed is identified. The sequential quadratic programming method is used to obtain the optimal rotational speed of wind turbine under different rain intensities and wind speeds. The proposed design optimization method is applied in a 5 MW wind turbine. Result shows the proposed method could significantly increase the designed fatigue life of the wind turbine blade coating from 7.84 years to 20 years, while the reduction of total energy production during the service life of wind turbine is ignored. With the minimum total energy production reduction of the wind turbine, the fatigue life of the wind turbine blade is significantly extended.

Key words: rain erosion, wind turbine blade, fatigue life, design optimization, surrogate model

CLC Number:

TK89

CHEN Weiyi, HU Weifei, FANG Jianhao, JIANG Hongwei, LIU Zhenyu, TAN Jianrong. Design Optimization for Coating Fatigue Life of Wind Turbine Blades Considering Rain Erosion[J]. Journal of Mechanical Engineering, 2022, 58(17): 2-15.

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