Performance Improvement of Two-Phase Steam Ejector based on CFD Techniques,Response Surface Methodology and Genetic Algorithm

作     者：ZHANG Hao ZHAO Hongxia ZHANG Xiuao ZENG Hongxuan DENG Jianqiang ZHANG Hao;ZHAO Hongxia;ZHANG Xiuao;ZENG Hongxuan;DENG Jianqiang

作者机构：School of Energy and Power EngineeringShandong UniversityJi’nan250061China School of Chemical Engineering and TechnologyXi’an Jiaotong UniversityXi’an710049China 

出 版 物：《Journal of Thermal Science》 (热科学学报（英文版）)

年 卷 期：2024年第33卷第2期

页      面：675-695页

核心收录：

学科分类：12[管理学] 080702[工学-热能工程] 1201[管理学-管理科学与工程(可授管理学、工学学位)] 080704[工学-流体机械及工程] 081104[工学-模式识别与智能系统] 080103[工学-流体力学] 08[工学] 0807[工学-动力工程及工程热物理] 0835[工学-软件工程] 0811[工学-控制科学与工程] 0812[工学-计算机科学与技术（可授工学、理学学位）] 0801[工学-力学（可授工学、理学学位）] 

主　　题：two-phase steam ejector optimization methodology CFD techniques response surface methodology genetic algorithm homogeneous equilibrium model 

摘      要：The steam ejector is a crucial component in the waste heat recovery *** performance determines the amount of recovered heat and system ***,poor ejector performance has always been the main bottleneck for system ***,this study proposes an optimization methodology to improve the steam ejector s performance by utilizing computational fluid dynamics(CFD) techniques,response surface methodology(RSM),and genetic algorithm(GA).Firstly,a homogeneous equilibrium model(HEM) was established to simulate the two-phase flow in the steam ***,the orthogonal test was presented to the screening of the key decision variables that have a significant impact on the entrainment ratio(ER).Next,the RSM was used to fit a response surface regression model(RSRM).Meanwhile,the effect of the interaction of geometric parameters on the performance of the steam ejector was ***,GA was employed to solve the RSRM s global optimal ER *** results show that the RSRM exhibits a good fit for ER(R^(2)=0.997).After RSM and GA optimization,the maximum ejector efficiency is 27.94%,which is 48.38% higher than the initial ejector of 18.83%.Furthermore,the optimized ejector efficiency is increased by 46.4% on average under off-design ***,the results reveal that the combination of CFD,RSM,and GA presents excellent reliability and feasibility in the optimization design of a two-phase steam ejector.