IDEAS home Printed from https://ideas.repec.org/a/eee/renene/v163y2021icp123-137.html
   My bibliography  Save this article

Analysis on dynamic interaction between flexible bodies of large-sized wind turbine and its response to random wind loads

Author

Listed:
  • Guo, Shuangxi
  • Li, Yilun
  • Chen, Weimin

Abstract

Analysis of structural dynamic response of wind turbine is one of important issues to assess its structural integrity and safety during operation process. As the output power of wind turbine increasingly gets larger, the structural flexibility of the elastic components, such as rotor blades and supporting tower, of wind turbine gets larger owing to larger structural size, and, consequently, the dynamic interaction between these flexible bodies become more profound or, even, may have a significant impact on the dynamic response of the wind turbine. In this study, the integrated finite element model of a 5-MW wind turbine is developed so as to carry out dynamic response analysis, in terms of both time history and frequency spectrum, of the large wind turbine including multiple elastic bodies and their dynamic interactions. In order to have a deeper insight into the impact and mechanism of the dynamic interaction, the load transmission along its transmitting route and mechanical energy distribution during dynamic response under random wind loads are studied. And, the influences of the stiffness and motion of the supporting tower on the integrated system response are discussed.

Suggested Citation

  • Guo, Shuangxi & Li, Yilun & Chen, Weimin, 2021. "Analysis on dynamic interaction between flexible bodies of large-sized wind turbine and its response to random wind loads," Renewable Energy, Elsevier, vol. 163(C), pages 123-137.
    • Handle: RePEc:eee:renene:v:163:y:2021:i:c:p:123-137
    DOI: 10.1016/j.renene.2020.08.126
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0960148120313719
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.renene.2020.08.126?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Li, Zhiguo & Gao, Zhiying & Chen, Yongyan & Zhang, Liru & Wang, Jianwen, 2022. "A novel time-variant prediction model for megawatt flexible wind turbines and its application in NTM and ECD conditions," Renewable Energy, Elsevier, vol. 196(C), pages 1158-1169.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:renene:v:163:y:2021:i:c:p:123-137. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/renewable-energy .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.