Reliability Analysis of Wind Turbine Towers

被引:12
|
作者
Hsu, Yao [1 ]
Wu, Wen-Fang [2 ]
Chang, Yung-Chang [2 ]
机构
[1] Kainan Univ, Dept Business & Entrepreneurial Management, Taoyuan 33857, Taiwan
[2] Natl Taiwan Univ, Dept Mech Engn, Taipei 10617, Taiwan
关键词
Wind Turbine; Reliability; Fatigue Analysis;
D O I
10.1016/j.proeng.2014.06.334
中图分类号
TH [机械、仪表工业];
学科分类号
0802 ;
摘要
To increase energy density in order to meet increasing electricity demands, increasingly large-scale designs for wind turbines have been developed. Wind turbine towers of larger sizes can generate more electricity, but such large sizes also create higher costs in terms of development and maintenance. The present research sets up a wind turbine tower model, wherein the loads of towers are calculated by their relation to wind speed. The finite element method is used to analyze the stress distribution of towers under these loads. Impacts from different loads are compared as well. The wind speed distribution is derived from data collected in Penghu, Taiwan using statistical methods. Fatigue analysis of towers is then conducted using fatigue loads and wind speed distribution, and the mean time to failure (MTTF) of towers is calculated with quantitative reliability theory. The results show that the main loads of towers are the wind force acting on the rotation area of wind turbine blades and the moment caused by non-uniform wind speed. After comparing this research finding with loads calculated by a wind turbine design software, it is concluded that it is a feasible and conservative method to analyze a wind turbine tower structure with the loads calculated by its relation to wind speed. In addition, it is shown that both the average and maximum hourly wind speeds in Penghu can be fitted into Weibull distribution. In conclusion, the fatigue analysis shows that the probability is greater than 99.8% for the tower model's failure time to be above 331,416 cycles, and it further shows that the tower model in this research possesses appropriate fatigue durability and is considered a safe tower design for Penghu.(C) 2013 Elsevier Ltd.
引用
收藏
页码:218 / 224
页数:7
相关论文
共 50 条
  • [1] Ocean dynamic reliability analysis of offshore wind turbine towers
    [J]. Xu, Y.-Z. (yazhou.xhu@gmail.com), 1600, Tsinghua University (30):
  • [2] Analysis on fatigue reliability of offshore wind turbine towers under rigidity decay
    Dong, Xiaohui
    Ma, Ruhong
    Qiu, Yalan
    [J]. Energy Education Science and Technology Part A: Energy Science and Research, 2014, 32 (06): : 4879 - 4886
  • [3] Buckling analysis of large wind turbine towers
    Huang, Zhonghua
    Liu, Zhe
    Xie, Ya
    [J]. Taiyangneng Xuebao/Acta Energiae Solaris Sinica, 2022, 43 (04): : 304 - 310
  • [4] Nonlinear Buckling Analysis of Wind Turbine Towers
    Cao Qing
    Li Yang
    Zhang Hao
    [J]. MANUFACTURING SCIENCE AND TECHNOLOGY, PTS 1-8, 2012, 383-390 : 6469 - 6475
  • [5] Wind turbine reliability analysis
    Pinar Perez, Jesus Maria
    Garcia Marquez, Fausto Pedro
    Tobias, Andrew
    Papaelias, Mayorkinos
    [J]. RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2013, 23 : 463 - 472
  • [6] Reliability-based design optimisation framework for wind turbine towers
    Al-Sanad, Shaikha
    Wang, Lin
    Parol, Jafarali
    Kolios, Athanasios
    [J]. RENEWABLE ENERGY, 2021, 167 : 942 - 953
  • [7] Dynamic analysis of wind turbine towers on flexible foundations
    Adhikari, S.
    Bhattacharya, S.
    [J]. SHOCK AND VIBRATION, 2012, 19 (01) : 37 - 56
  • [8] Fragility analysis of steel and concrete wind turbine towers
    Quilligan, A.
    O'Connor, A.
    Pakrashi, V.
    [J]. ENGINEERING STRUCTURES, 2012, 36 : 270 - 282
  • [9] Improved reliability of wind turbine towers with tuned liquid column dampers (TLCDs)
    Mensah, Akwasi F.
    Duenas-Osorio, Leonardo
    [J]. STRUCTURAL SAFETY, 2014, 47 : 78 - 86
  • [10] Improved reliability of wind turbine towers with active tuned mass dampers (ATMDs)
    Fitzgerald, Breiffni
    Sarkar, Saptarshi
    Staino, Andrea
    [J]. JOURNAL OF SOUND AND VIBRATION, 2018, 419 : 103 - 122