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论文类型：期刊论文

发表时间：2022-06-29

发表刊物：化工学报

期号：4

页面范围：1116-1123

ISSN号：0438-1157

摘要：Heat exchanger network is an important energy recovery system in chemical processes. Recently, simultaneous synthesis methods have been frequently applied to designing a cost-optimal heat exchanger network. Simultaneous synthesis problem is usually formulated as a mixed-integer non-linear programming model, which is non-convex, nonlinearity, non-continuous, and belongs to one of the toughest non-deterministic polynomial-time hard(NP-hard)problems. Medium or large -scale simultaneous synthesis problems in many cases cannot be solved in a reasonable time. A two-level approach was proposed for solving HENS problem. A hybrid methodology consisting of binary particle swarm optimization and genetic algorithm was utilized to generate the network structure in the upper level, while in the lower level, the heat load of exchangers and split-stream fractions were optimized by an improved particle swarm optimization. Two benchmark problems were solved to prove the efficiency of the proposed method. © All Rights Reserved.

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