Optimization of large-scale heat exchanger networks by evolution of sub-networks

CAI Kang; GUAN Xin; LUO Xing; Georg Fieg

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Optimization of large-scale heat exchanger networks by evolution of sub-networks

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- Optimization of large-scale heat exchanger networks by evolution of sub-networks
- CIESC Journal Issue 9, Pages: 2265-2270(2009)
- 作者机构：
  
  1. 上海理工大学热工程研究所
  2. 汉堡工业大学过程工程研究所
- 作者简介：
- 基金信息：
- DOI：
  CLC：
- Online First：05 September 2009，
  
  Published：05 September 2009
- 稿件说明：
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CAI Kang, GUAN Xin, LUO Xing, et al. Optimization of large-scale heat exchanger networks by evolution of sub-networks[J]. CIESC Journal, 2009, (9): 2265-2270.
DOI：

CAI Kang, GUAN Xin, LUO Xing, et al. Optimization of large-scale heat exchanger networks by evolution of sub-networks[J]. CIESC Journal, 2009, (9): 2265-2270. DOI：

摘要

换热网络优化是典型的混合整数非线性规划（MINLP）问题，此问题的非线性约束以及到处存在的局部极值，使得最优解的获得尤其困难。特别是对于大规模网络来说，当物流数目增加时，可行的结构数目呈指数增长，目前还没有一种有效的算法来解决此类问题。应用改进的混合遗传算法，首先对换热网络进行初始优化，对初步优化结果进行子网络的划分，然后进行基于官能团（子网络）的重组、分解和交叉操作，获得了很好的结果。

Abstract

The optimization of heat exchanger networks (HEN) is a typical MINLP problem.For large-scale HEN

when the number of process streams increases

its feasible configurations could increase exponentially.Till now

no effective methods are available to solve such problems.A new strategy based on the optimization of the sub-networks of HEN was proposed.According to the first optimization

the sub-networks underwent recombination

decomposition and transplantation operations were further optimized with the hybrid genetic algorithm.Evolution of the sub-networks instead of the optimization of the whole HEN was simple and fast.A large-scale HEN with 22 hot and 17 cold streams from literature was calculated with this new method and a better result was obtained. Although the exchanger area increased a little

the number of heat exchanger units was less

also utility and total annual cost decreased.

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