Indexed by:Journal Article

Date of Publication:2022-06-30

Journal:化工进展

Institution:化工学院

Issue:5

Page Number:1353-1359

ISSN:1000-6613

Abstract:There is a problem that the passage number cannot remain the same,when the crossover and the mutation operation are performed to optimize the passage arrangement of multi-stream plate-fin heat exchanger(MS-PFHE) by genetic algorithm(GA) using the real coding. Hence,an improved GA using ordinal number encoding was proposed to optimize the passage arrangement of MS-PFHE. On this basis,the crossover and the mutation operation can be successfully performed between individuals,and an optimization model of passage arrangement was built with the mean square deviation of heat load accumulation in the passage as the objective function. The passage arrangement of MS-PFHE was optimized,which contained 4 streams and 57 passages,and flexibility of the system was analyzed by several operation points. The results showed that,the mean square deviation of heat load accumulation of the optimized design scheme in this study was 3562.9W,which was 2.7% lower than the empirical method in the literature,and it was 15.1% lower than the result obtained by GA using the real coding. In addition,the heat load accumulation fluctuated to the zero line. It indicated that GA using ordinal number encoding can increase population individuals variety in GA and improve searching efficiency,so that the algorithm can have better performance in reaching the global optimum.

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