SCI和EI收录∣中国化工学会会刊

Chinese Journal of Chemical Engineering ›› 2008, Vol. 16 ›› Issue (1): 11-15.

• • 上一篇    下一篇

Global Optimization for the Synthesis of Integrated Water Systems with Particle Swarm Optimization Algorithm

罗祎青, 袁希钢   

  1. State Key Laboratory of Chemical Engineering, Chemical Engineering Research Center, Tianjin University, Tianjin 300072, China
  • 收稿日期:2007-05-10 修回日期:2007-10-27 出版日期:2008-02-28 发布日期:2008-02-28
  • 通讯作者: YUAN Xigang, E-mail: yuanxg@tju.edu.cn
  • 基金资助:
    Tianjin Municipal Science Foundation (No. 07JCZDJC 02500)

Global Optimization for the Synthesis of Integrated Water Systems with Particle Swarm Optimization Algorithm

LUO Yiqing, YUAN Xigang   

  1. State Key Laboratory of Chemical Engineering, Chemical Engineering Research Center, Tianjin University, Tianjin 300072, China
  • Received:2007-05-10 Revised:2007-10-27 Online:2008-02-28 Published:2008-02-28
  • Supported by:
    Tianjin Municipal Science Foundation (No. 07JCZDJC 02500)

摘要: The problem of optimal synthesis of an integrated water system is addressed in this study, where water using processes and water treatment operations are combined into a single network such that the total cost of fresh water and wastewater treatment is globally minimized. A superstructure that incorporates all feasible design alterna-tives for wastewater treatment, reuse and recycle, is synthesized with a non-linear programming model. An evolutionary approach—an improved particle swarm optimization is proposed for optimizing such systems. Two simple examples are presented to illustrate the global optimization of integrated water networks using the proposed algorithm.

关键词: integrated water network, water minimization, particle swarm optimization

Abstract: The problem of optimal synthesis of an integrated water system is addressed in this study, where water using processes and water treatment operations are combined into a single network such that the total cost of fresh water and wastewater treatment is globally minimized. A superstructure that incorporates all feasible design alterna-tives for wastewater treatment, reuse and recycle, is synthesized with a non-linear programming model. An evolutionary approach—an improved particle swarm optimization is proposed for optimizing such systems. Two simple examples are presented to illustrate the global optimization of integrated water networks using the proposed algorithm.

Key words: integrated water network, water minimization, particle swarm optimization