IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v335y2025ics0360544225036771.html
   My bibliography  Save this article

Flow prediction model for multi-stage labyrinth regulating valve based on supercritical CO2 energy dissipation mechanism

Author

Listed:
  • Wang, Junpeng
  • Zhang, Enbo
  • Bai, Bofeng

Abstract

The multi-stage labyrinth regulating valve is capable of regulating the thermodynamic properties of the working medium at the inlet of the turbomachinery bypass system. However, the thermophysical properties of supercritical carbon dioxide (S-CO2) exhibit drastic nonlinear variations with pressure near the critical point, making the fluid energy dissipation process in the compressor inlet of the supercritical carbon dioxide Brayton cycle highly complex. It leads to inaccuracies in predicting the flow rate, causing deviations from the design operating conditions and potentially resulting in stall and surge. To address this gap, this study numerically investigated the fluid dynamics and energy loss mechanisms of S-CO2 with various channel geometric features, including decompression stages (n), expansion coefficient (γ), swing amplitude (w∗), channel spacing (λ∗), and aspect ratio (σ). The results indicate that n has the most significant impact on the decompression performance and flow velocity control. Only when the decompression stages are designed reasonably can the fluid velocity be effectively controlled. According to entropy production analysis, the primary mechanism of energy loss within labyrinth channels is viscous dissipation. The kinetic energy dissipated by viscous friction mainly occurs in three key regions: the boundary layer separation zone between the mainstream and low-speed vortices, the area of direct fluid impact on the wall, and the region of high-speed converging vortices. Finally, a flow prediction model is developed based on the inherent correlation between channel geometric features and Fluid energy dissipation behavior, with a prediction error of less than ±15%.

Suggested Citation

  • Wang, Junpeng & Zhang, Enbo & Bai, Bofeng, 2025. "Flow prediction model for multi-stage labyrinth regulating valve based on supercritical CO2 energy dissipation mechanism," Energy, Elsevier, vol. 335(C).
  • Handle: RePEc:eee:energy:v:335:y:2025:i:c:s0360544225036771
    DOI: 10.1016/j.energy.2025.138035
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544225036771
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.energy.2025.138035?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

    for a different version of it.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    JEL classification:

    Statistics

    Access and download statistics

    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:energy:v:335:y:2025:i:c:s0360544225036771. 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/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.