IDEAS home Printed from https://ideas.repec.org/a/eee/renene/v224y2024ics0960148124003112.html
   My bibliography  Save this article

Research on the impact of system parameter combinations on flow-induced vibration power generation characteristics based on exploratory data analysis

Author

Listed:
  • Li, Weijie
  • Zhang, Dahai
  • Shi, Xiaofeng

Abstract

In this paper, an exploratory data analysis method is employed to investigate the impact of different system parameter combinations on the magnitude and stability of power of flow-induced vibration (FIV). Firstly, orthogonal experimental design within exploratory data analysis is used to set up numerical simulations of flow-induced vibration and collect data on FIV power generation characteristics. Then range method is used to select the optimal parameters combination for flow-induced vibration power generation, and the degree of influence of different system parameters on power and stability is quantitatively described by variance and entropy weight methods. Our results reveal that the optimal parameter combination for power corresponds to m* = 1.343, K = 1200 andζ = 0.08, and the optimal parameter combination for stability is m* = 1.343, K = 1200 andζ = 0.04. Additionally, the weight relationship of each system parameter affecting power and stability is WK > Wζ>Wm* and Wζ>Wm*>WK, respectively. These weight relationships allow for the effective adjustment of the parameter levels to quickly achieve the goal of optimizing power and stability. A new parameter Pvalue-stability is proposed to comprehensively evaluate power magnitude and power stability, and optimal parameter combinations in different vibration branches is achieved. This paper provides new ideas and guidance for the design of the FIV energy harvesting device.

Suggested Citation

  • Li, Weijie & Zhang, Dahai & Shi, Xiaofeng, 2024. "Research on the impact of system parameter combinations on flow-induced vibration power generation characteristics based on exploratory data analysis," Renewable Energy, Elsevier, vol. 224(C).
    • Handle: RePEc:eee:renene:v:224:y:2024:i:c:s0960148124003112
    DOI: 10.1016/j.renene.2024.120246
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0960148124003112
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.renene.2024.120246?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.

    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:224:y:2024:i:c:s0960148124003112. 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.