Flow prediction model for multi-stage labyrinth regulating valve based on supercritical CO2 energy dissipation mechanism
Junpeng Wang,
Enbo Zhang and
Bofeng Bai
Energy, 2025, vol. 335, issue C
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%.
Keywords: Supercritical CO2; Labyrinth regulating valve; Flow prediction model; Energy dissipation; Flow capability (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0360544225036771
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:335:y:2025:i:c:s0360544225036771
DOI: 10.1016/j.energy.2025.138035
Access Statistics for this article
Energy is currently edited by Henrik Lund and Mark J. Kaiser
More articles in Energy from Elsevier
Bibliographic data for series maintained by Catherine Liu ().