Iranian Journal of Chemical Engineering (IJChE)
Scientific Journal

Improving the performance of a two-phase ejector using genetic algorithm based on secondary fluid entrainment rate

Document Type : Regular Article

Authors

M. Moghadasi 1
M. Moraveji 2
O. Alizadeh 3

1 aDepartment of Chemical Engineering, Borujerd Branch, Islamic Azad University, Borujerd, Iran

2 Amirkabir university of technology (Tehran Polytechnic)

3 Department of Chemistry and Chemical Engineering, Rasht branch, Islamic Azad University, Rasht, Iran.

https://doi.org/10.22034/ijche.2023.390350.1488
Abstract
Ejectors offer a cost-effective and practical solution for recovering flare gases, thereby reducing greenhouse gases. Improving the entrainment rate of the secondary fluid can enhance ejector performance. The objective of this research is to identify the optimal ejector geometry to maximize the absorption rate of the secondary fluid. Computational fluid dynamics is used to evaluate a two-phase ejector. Geometric parameters such as throat diameter and length, nozzle diameter, and converging and diverging angles impact the absorption rate of the secondary fluid. Using a multi-objective genetic algorithm, the optimal values for each parameter are obtained. The results show that reducing the throat length and angle of the converging section, as well as nozzle diameter, leads to increased absorption. In contrast, the throat and angle of the divergent section increase absorption. Additionally, energy efficiency is investigated under basic and optimized geometries. The findings reveal that increasing the soak range does not necessarily enhance energy efficiency.

Keywords

Entrainment rate of secondary fluid
gas-liquid ejector
recovery of flare gas
geometry design
multi-objective genetic algorithm optimization
computational fluid dynamics

Subjects

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Iranian Journal of Chemical Engineering (IJChE)
Volume 19, Issue 4
Autumn 2022
Pages 95-109

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