CIESC Journal ›› 2010, Vol. 18 ›› Issue (3): 402-411.

• • 上一篇    下一篇

Simultaneous Optimization of Synthesis and Scheduling of Cleaning in Flexible Heat Exchanger Networks

肖丰, 都健, 刘琳琳, 栾国颜, 姚平经   

  1. Institute of Process System Engineering, School of Chemical Engineering, Dalian University of Technology, Dalian 116012, China
  • 收稿日期:2009-07-15 修回日期:2010-02-11 出版日期:2010-06-28 发布日期:2010-06-28
  • 通讯作者: DU Jian,E-mail:dujian@dlut.edu.cn;YAO Pingjing,E-mail:yaopj@dlut.edu.cn
  • 基金资助:
    Supported by the National Natural Science Foundation of China(20976022);Dalian University of Technology for Con-structing Interdiscipline‘Energy+X'

Simultaneous Optimization of Synthesis and Scheduling of Cleaning in Flexible Heat Exchanger Networks

XIAO Feng, DU Jian, LIU Linlin, LUAN Guoyan, YAO Pingjing   

  1. Institute of Process System Engineering, School of Chemical Engineering, Dalian University of Technology, Dalian 116012, China
  • Received:2009-07-15 Revised:2010-02-11 Online:2010-06-28 Published:2010-06-28
  • Supported by:
    Supported by the National Natural Science Foundation of China(20976022);Dalian University of Technology for Con-structing Interdiscipline‘Energy+X'

摘要: A novel methodology is presented for simultaneously optimizing synthesis and cleaning schedule of flexible heat exchanger network(HEN)by genetic/simulated annealing algorithms(GA/SA).Through taking into account the effect of fouling process on optimal network topology,a preliminary network structure possessing two-fold oversynthesis is obtained by means of pseudo-temperature enthalpy(T-H)diagram approach prior to simultaneous optimization.Thus,the computational complexity of this problem classified as NP(Non-deterministic Polynomial)-complete can be significantly reduced.The promising matches resulting from preliminary synthesis stage are further optimized in parallel with their heat exchange areas and cleaning schedule.In addition,a novel continuous time representation is introduced to subdivide the given time horizon into several variable-size intervals according to operating periods of heat exchangers,and then flexible HEN synthesis can be implemented in dynamic manner.A numerical example is provided to demonstrate that the presented strategy is feasible to decrease the total annual cost(TAC)and further improve network flexibility,but even more important,it may be applied to solve large-scale flexible HEN synthesis problems.

关键词: flexible heat exchanger network, synthesis, cleaning schedule, continuous time representation, simultaneous optimization

Abstract: A novel methodology is presented for simultaneously optimizing synthesis and cleaning schedule of flexible heat exchanger network(HEN)by genetic/simulated annealing algorithms(GA/SA).Through taking into account the effect of fouling process on optimal network topology,a preliminary network structure possessing two-fold oversynthesis is obtained by means of pseudo-temperature enthalpy(T-H)diagram approach prior to simultaneous optimization.Thus,the computational complexity of this problem classified as NP(Non-deterministic Polynomial)-complete can be significantly reduced.The promising matches resulting from preliminary synthesis stage are further optimized in parallel with their heat exchange areas and cleaning schedule.In addition,a novel continuous time representation is introduced to subdivide the given time horizon into several variable-size intervals according to operating periods of heat exchangers,and then flexible HEN synthesis can be implemented in dynamic manner.A numerical example is provided to demonstrate that the presented strategy is feasible to decrease the total annual cost(TAC)and further improve network flexibility,but even more important,it may be applied to solve large-scale flexible HEN synthesis problems.

Key words: flexible heat exchanger network, synthesis, cleaning schedule, continuous time representation, simultaneous optimization