A comprehensive review of recent advancements and developments in heat exchanger network synthesis techniques

作     者：XU Yue LIU WeiWei ZHANG Lu CUI Guo Min XIAO Yuan ZHANG GuanHua YANG QiGuo 

作者机构：School of Energy and Power EngineeringUniversity of Shanghai for Science and TechnologyShanghai 200093China 

出 版 物：《Science China(Technological Sciences)》 (中国科学（技术科学英文版）)

年 卷 期：2024年第67卷第2期

页      面：335-356页

核心收录：

学科分类：080702[工学-热能工程] 08[工学] 0807[工学-动力工程及工程热物理] 0805[工学-材料科学与工程（可授工学、理学学位）] 

基　　金：supported by the National Natural Science Foundation of China(Grant Nos.21978171 and 51976126) the Capacity Building Plan for some Non-military Universities and Colleges of Shanghai Scientific Committee(Grant Nos.16060502600 and 20060502000)。 

主　　题：heat integration heat exchanger network synthesis sequential synthesis method simultaneous synthesis method optimization techniques development optimization quality 

摘      要：The rapid development of computational technology and the increasing energy demand have improved heat exchanger network(HEN)synthesis.The HEN synthesis involves several optimizations of matches,distributions of heat loads,and stream splitting of heat units.Thus,obtaining good results at high efficiency has been the main standard for evaluating the techniques in the research area of HEN synthesis.This paper first summarizes and analyzes the main contributions of the existing HEN synthesis techniques.To compare related data quantitively,information on ten typical cases is presented in this paper.Furthermore,recently improved solutions for commonly encountered existing literature cases demonstrate the evolution and competition trends in the field of HEN synthesis.The comparison data presented in this paper not only provide a useful reference for future research but also present the optimization directions.Based on the findings of this study,it is noted that there is still a large room for improvement,and current approaches are incapable of dealing with all HEN cases.Moreover,it is still difficult to escape a local optimum and overcome structural constraints when seeking the global optimum.As a follow-up to the current work,the parallel computing mode and adaptively coordinating the ratio of global and local searching abilities are major development trends for future investigation.