Assessment on wind-induced fatigue life of wind turbine tower considering joint probability distribution of wind speed and wind direction

被引:0
|
作者
Li, Wanrun [1 ,2 ,3 ]
Guo, Saicong [1 ,2 ]
Zhang, Guangli [1 ,2 ]
Du, Yongfeng [1 ,2 ,3 ]
机构
[1] Institute of Earthquake Protection and Disaster Mitigation, Lanzhou University of Technology, Lanzhou,730050, China
[2] School of Civil Engineering, Lanzhou University of Technology, Lanzhou,730050, China
[3] Western Engineering Research Center of Disaster Mitigation in Civil Engineering of Ministry of Education, Lanzhou University of Technology, Lanzhou,730050, China
来源
关键词
Fatigue of materials - Probability distributions - Speed - Wind - Wind turbines;
D O I
10.19912/j.0254-0096.tynxb.2020-0976
中图分类号
学科分类号
摘要
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. © 2022, Solar Energy Periodical Office Co., Ltd. All right reserved.
引用
收藏
页码:278 / 286
相关论文
共 50 条
  • [1] Study on the wind-induced fatigue of heliostat based on the joint distribution of wind speed and direction
    Luo, H.
    Li, Z.
    Xiong, Q.
    Jiang, Anmin
    [J]. SOLAR ENERGY, 2020, 207 : 668 - 682
  • [2] Study on wind-induced fatigue performance of large-span transmission tower-line system considering the combined distribution probability of wind direction and speed
    Rong, Kunjie
    Tian, Li
    Luo, Jingyu
    Wang, Lihuan
    [J]. ENGINEERING FAILURE ANALYSIS, 2024, 156
  • [3] Probability prediction of transmission line breakage and tower topple over under wind disaster considering the joint distribution of wind speed and wind direction
    Zhu, Ling
    Chen, Taowei
    Zhou, Chen
    Deng, Honglei
    Xia, Qiao
    [J]. Dianli Xitong Baohu yu Kongzhi/Power System Protection and Control, 2019, 47 (02): : 115 - 122
  • [4] Study on the wind-induced fatigue of heliostat based on the joint distribution of wind speed and direction (vol 207, pg 668, 2020)
    Luo, Haiyin
    Li, Zhengnong
    Xiong, Qiwei
    Jiang, Anmin
    [J]. SOLAR ENERGY, 2021, 216 : 120 - 120
  • [5] On the Analysis of Wind-Induced Noise in Seismological Recordings: Approaches to Present Wind-Induced Noise as a Function of Wind Speed and Wind Direction
    Lott F.F.
    Ritter J.R.R.
    Al-Qaryouti M.
    Corsmeier U.
    [J]. Pure and Applied Geophysics, 2017, 174 (3) : 1453 - 1470
  • [6] Wind load and wind-induced effect of the large wind turbine tower-blade system considering blade yaw and interference
    Ke, S. T.
    Wang, X. H.
    Ge, Y. J.
    [J]. WIND AND STRUCTURES, 2019, 28 (02) : 71 - 87
  • [7] An approach to wind-induced fatigue analysis of wind turbine tubular towers
    Huo, Tao
    Tong, Lewei
    [J]. JOURNAL OF CONSTRUCTIONAL STEEL RESEARCH, 2020, 166
  • [8] An Investigation of Wind Direction and Speed in a Featured Wind Farm Using Joint Probability Distribution Methods
    Zhang, Lidong
    Li, Qikai
    Guo, Yuanjun
    Yang, Zhile
    Zhang, Lei
    [J]. SUSTAINABILITY, 2018, 10 (12)
  • [9] Modelling Wind for Wind Farm Layout Optimization Using Joint Distribution of Wind Speed and Wind Direction
    Feng, Ju
    Shen, Wen Zhong
    [J]. ENERGIES, 2015, 8 (04): : 3075 - 3092
  • [10] ANALYSIS OF STRESS CHARACTERISTICS OF WIND TURBINE TOWER CONSIDERING DYNAMIC CHANGE OF WIND DIRECTION
    Yan, Sijia
    Wang, Jianwen
    Zhang, Jianwei
    [J]. Taiyangneng Xuebao/Acta Energiae Solaris Sinica, 2023, 44 (04): : 140 - 146