ASSESSMENT ON WIND-INDUCED FATIGUE LIFE OF WIND TURBINE TOWER CONSIDERING JOINT PROBABILITY DISTRIBUTION OF WIND SPEED AND WIND DIRECTION

Li Wanrun; Guo Saicong; Zhang Guangli; Du Yongfeng

doi:10.19912/j.0254-0096.tynxb.2020-0976

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Acta Energiae Solaris Sinica ›› 2022, Vol. 43 ›› Issue (5) : 278-286. DOI: 10.19912/j.0254-0096.tynxb.2020-0976

ASSESSMENT ON WIND-INDUCED FATIGUE LIFE OF WIND TURBINE TOWER CONSIDERING JOINT PROBABILITY DISTRIBUTION OF WIND SPEED AND WIND DIRECTION

Li Wanrun, Guo Saicong^1,2, Zhang Guangli^1,2, Du Yongfeng

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Abstract

To study the influence of wind direction on the fatigue life of wind turbine tower, the wind-induced fatigue life of wind turbine tower is studied by introducing the joint probability distribution of wind speed and wind direction based on the measured data. Firstly, combined with the measured wind speed and direction data of Anxi in Gansu Province during 37 years, the joint probability distribution of wind speed and direction is given. Then, the master S-N curve is used to analyze the flange and tower-door response principle on the wind turbine tower under different conditions of wind direction and wind speed. Finally, the joint probability distribution of wind speed and direction is adopted to investigate the wind-induced fatigue life of wind turbine tower. The results show that the change of various angle between the tower-door and the wind turbine orientation and the change of wind speed have impact on the wind-induced fatigue life of wind turbine tower. The maximum fatigue life can be predicted when the angle between the tower-door and the wind wheel reaches 225°. The variation of the fatigue life is the largest in the wind-speed range of 10-14 m/s. The mathematical method of joint probability distribution makes the calculation of the wind-induced fatigue life more accurate and the fatigue life can be prolonged by adjusting the orientation of tower-door. Therefore, it is suggested that the joint probability distribution of local wind speed and direction should be considered in the design of wind turbine tower.

Key words

wind turbines / fatigue life / wind speed / tower / wind direction / joint probability distribution

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Li Wanrun, Guo Saicong, Zhang Guangli, Du Yongfeng. ASSESSMENT ON WIND-INDUCED FATIGUE LIFE OF WIND TURBINE TOWER CONSIDERING JOINT PROBABILITY DISTRIBUTION OF WIND SPEED AND WIND DIRECTION[J]. Acta Energiae Solaris Sinica. 2022, 43(5): 278-286 https://doi.org/10.19912/j.0254-0096.tynxb.2020-0976

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