• RESEARCH PAPERS • Previous Articles     Next Articles

Multi-objective Optimization of Industrial Purified Terephthalic Acid Oxidation Process

MU Shengjing; SU Hongye; GU yong; CHU Jian   

  1. National Laboratory of Industrial Control Technology, Institute of Advanced Process
    Control, Zhejiang University,Hangzhou,310027, China
  • Received:1900-01-01 Revised:1900-01-01 Online:2003-10-28 Published:2003-10-28
  • Contact: MU Shengjing

工业PTA氧化过程的多目标优化

牟盛静; 苏宏业; 古勇; 褚健   

  1. National Laboratory of Industrial Control Technology, Institute of Advanced Process
    Control, Zhejiang University,Hangzhou,310027, China
  • 通讯作者: 牟盛静

Abstract: Multi-objective optimization of a purified terephthalic acid (PTA) oxidation unit is
carried out in this paper by using a process model that has been proved to describe
industrial process quite well. The model is a semiempirical structured into two series
ideal continuously stirred tank reactor (CSTR) models. The optimal objectives include
maximizing the yield or inlet rate and minimizing the concentration of 4-carboxy-
benzaldhyde, which is the main undesirable intermediate product in the reaction process.
The multi-objective optimization algorithm applied in this study is non-dominated sorting
genetic algorithm Ⅱ (NSGA-Ⅱ). The performance of NSGA-Ⅱ is further illustrated by
application to the title process.

Key words: multi-objective optimization, purified terephthalic acid oxidation process, non-dominated sorting genetic algorithm Ⅱ

摘要: Multi-objective optimization of a purified terephthalic acid (PTA) oxidation unit is
carried out in this paper by using a process model that has been proved to describe
industrial process quite well. The model is a semiempirical structured into two series
ideal continuously stirred tank reactor (CSTR) models. The optimal objectives include
maximizing the yield or inlet rate and minimizing the concentration of 4-carboxy-
benzaldhyde, which is the main undesirable intermediate product in the reaction process.
The multi-objective optimization algorithm applied in this study is non-dominated sorting
genetic algorithm Ⅱ (NSGA-Ⅱ). The performance of NSGA-Ⅱ is further illustrated by
application to the title process.

关键词: multi-objective optimization;purified terephthalic acid oxidation process;non-dominated sorting genetic algorithm Ⅱ