Non-equilibrium condensation modeling of CO2 nozzle flow under subcritical and supercritical conditions

Junbin Chen, Cong Guo*, Chunyu Feng, Xiao Qu, Sicong Tan, Wan Sun, Yuyan Jiang*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

Turbomachinery is crucial in transcritical CO2 heat pumps and supercritical CO2 Brayton cycles. During the internal transcritical expansion process, non-equilibrium condensation can occur, leading to droplet formation, which reduces turbomachinery efficiency and may damage the blades. Currently, non-equilibrium condensation calculations face inaccurate predictions of condensation shock waves and downstream pressures. To investigate the influence of various factors on the accuracy of non-equilibrium condensation numerical simulation, this study examines the effects of nucleation models, droplet growth models, and turbulence models. The Eulerian-Eulerian source term model is employed to compare and study the non-equilibrium condensation within a CO2 Laval nozzle under subcritical and supercritical inlet conditions. The results indicate that different nucleation models directly affect the numerical accuracy of the nucleation location and the condensation shock wave, with minimal impact on the pressure distribution downstream of the throat. Besides, different droplet growth models have little effect on the numerical accuracy of nucleation location and the downstream pressure distribution. The large eddy simulation has a significant impact on numerical accuracy, with a larger pressure jump and better experimental agreement for downstream pressure distribution. These findings provide guidance for the further development of non-equilibrium condensation models.

Original languageEnglish
Article number033336
JournalPhysics of Fluids
Volume37
Issue number3
DOIs
Publication statusPublished - 1 Mar 2025

Fingerprint

Dive into the research topics of 'Non-equilibrium condensation modeling of CO2 nozzle flow under subcritical and supercritical conditions'. Together they form a unique fingerprint.

Cite this