Journal of South China University of Technology (Natural Science Edition) ›› 2006, Vol. 34 ›› Issue (8): 6-12.

• Chemistry & Chemical Engineering • Previous Articles     Next Articles

Development of Optimization Algorithm for Synthesizing Multi-Stream Heat Exchanger Network

Wei Guan-feng1  Qian Yu1  Yao Ping-ring2   

  1. 1.School of Chemical and Energy Engineering,South China Univ.of Tech.,Guangzhou 5 10640,Guangdong,China;2.School of Chemical Engineering,Dalian Univ.of Tech.,Dalian 116012, Liaoning，China
  • Received:2006-04-04 Online:2006-08-25 Published:2006-08-25
  • Contact: 钱宇，教授，E-mail：ceyuqian@scut．edu．ca E-mail:wei_guanfeng@ 163.com
  • About author:魏关锋(1973-)，男，博士后，主要从事化工系统工程研究
  • Supported by:

    国家自然科学基金资助项目(20536020)

PDF

558

Abstract:

The synthesis of multi-stream heat exchanger network(MSHEN)is modeled as a mixed integer nonlinear programming problem (MINLP)that possesses large scale,many constraints and severe non.convexitv and nonlinearity,thus resulting in many local optima.The traditional gradient.based optimization algorithms fail to find the global optimum.In order to solve this problem,the genetic algorithm (GA)is adopted in this paper.Moreo-ver,to overcome the premature convergence and the dificulty in the appropriate determination of running parame.ters,an improved GA with diversity-maintaining operators and a multi-group evolution structure is proposed.in which the running parameters can be self-tuned and the simulated annealing algorithm is introduced during the evo.lution.Examples indicate that the adoption of the proposed algorithm helps solve the MINLP problem and guaran.tees the probability of finding the global optima in a MINLP problem.

Key words: multi-stream heat exchanger network, mixed integer nonlinear programming, improved genetic algo-rithm, diversity-retaining operator, parallel algorithm structure