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

Ejectors offer a cost-effective and practical solution for recovering flare gases, thereby reduce greenhouse gases. improving the entrainment rate of the secondary fluid can enhance the performance of ejectors. the objective of this research is to identify the optimal geometry of the ejector to maximize the absorption rate of the secondary fluid. computational fluid dynamics are used to evaluate a two-phase ejector. the geometric parameters such as the diameter and length of the throat, nozzle diameter, and converging and diverging angles impact the absorption rate of the secondary fluid. by using a multi-objective genetic algorithm, the optimal values for all parameters are obtained. the results show that reducing the length and angle of the throat of the converging section, as well as the nozzle diameter, leads to increased absorption. in contrast, the throat diameters and angle of the divergent section increase absorption. additionally, the energy efficiency is investigated in basic and optimized geometries. the findings reveal that increasing the soak range does not necessarily enhance the energy efficiency.