The optimal design of heat exchanger networks considering heat exchanger types

被引：0

作者：

Fieg, Georg ^{[1
]}

Hou, Xi-Ru ^{[2
]}

Luo, Xing ^{[1
,2
]}

Ma, Hu-Gen ^{[2
]}

机构：

[1] Hamburg Univ Technol, Inst Proc & Plant Engn, D-21071 Hamburg, Germany

[2] Univ Shanghai Sci & Technol, Inst Thermal Engn, Shanghai 200093, Peoples R China

来源：

19TH EUROPEAN SYMPOSIUM ON COMPUTER AIDED PROCESS ENGINEERING | 2009年 / 26卷

关键词：

heat exchanger network; heat recovery system; hybrid genetic algorithm; optimization; OF-THE-ART; STOCHASTIC OPTIMIZATION; GENERALIZED-METHOD; RETROFIT DESIGN; HEN SYNTHESIS; INTEGRATION; GRASSROOT;

D O I：

暂无

中图分类号：

TQ [化学工业];

学科分类号：

0817 ;

摘要：

A hybrid genetic algorithm for the optimization of heat exchanger networks (HEN) considering the heat exchanger types is developed. The algorithm is based on an analytical solution of the stream temperatures. The heat capacity flow rates of hot and cold streams and the heat transfer parameter (the product of the correction factor of logarithmic mean temperature difference F, the overall heat transfer coefficient k and the heat transfer area A) of each heat exchanger in the HEN are taken as the decision variables to be optimized. With this method, the investment and utility costs can be calculated separately in a user subroutine where the specificities of heat exchangers can be easily taken into account. An example from literature is used to illustrate the procedure, and better optimization results are obtained.

引用

页码：659 / 664

页数：6

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