Multi-objective optimization of supersonic separator for gas removal and carbon capture using three-field two-phase flow model and non-dominated sorting Genetic Algorithm-II (NSGA-II)

•A novel gas–liquid three-field two-phase CFD model was established.•The effects of geometry parameters were investigated to get structural sensitivity.•Multi-objective optimization of supersonic separator structure based on CFD model.•At a 90% separation efficiency, the pressure loss ratio was redu...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Separation and purification technology Jg. 358; S. 130363
Hauptverfasser: Ding, Hongbing, Zhang, Guangchen, Wang, Shiwei, Zhang, Yu, Yang, Yan, Wen, Chuang
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Elsevier B.V 07.06.2025
Schlagworte:
Cost analysis
Gas–liquid three-field two-phase CFD model
Multi-objective Optimization Method
Non-dominated Sorting Genetic Algorithm-II
Separation Efficiency
Supersonic separator
Non-dominated Sorting Genetic Algorithm-II
Gas–liquid three-field two-phase CFD model
Separation Efficiency
Cost analysis
Multi-objective Optimization Method
Supersonic separator
ISSN:1383-5866
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung:•A novel gas–liquid three-field two-phase CFD model was established.•The effects of geometry parameters were investigated to get structural sensitivity.•Multi-objective optimization of supersonic separator structure based on CFD model.•At a 90% separation efficiency, the pressure loss ratio was reduced by up to 28.3%.•Optimized structures suitable for primary and secondary separation were found. Supersonic separator is an efficient technology for gas removal and carbon capture. To enhance its performance, many researchers have studied its structure; however, existing studies have primarily used traditional computational fluid dynamics (CFD) models for single-objective structural optimization of the separator’s separation performance. However, in the supersonic separators, separation efficiency and pressure-loss ratio are the most important and conflicting performance parameters, and evaluating separation performance in isolation from either one is incomplete. In the present study, we develop a gas–liquid two-phase three-field CFD model considering liquid films. This mathematical model is combined with the non-dominated Sorting Genetic Algorithm-II (NSGA-II) for multi-objective optimization of the coupled multiple structural parameters with the objective of the separation efficiency and pressure-loss ratio. The results indicate that the maximum relative errors between simulated and predicted values for the four Pareto optimal solutions in computing pressure loss ratio and separation efficiency are 5.4% and 5.3%, respectively. The optimized solutions achieve the maximum reduction in pressure loss ratio of 28.3% at the same 90% separation efficiency compared to the original structure.
ISSN:1383-5866
DOI:10.1016/j.seppur.2024.130363