SCI和EI收录∣中国化工学会会刊

Chin.J.Chem.Eng. ›› 2015, Vol. 23 ›› Issue (5): 789-795.DOI: 10.1016/j.cjche.2014.06.041

• PROCESS SYSTEMS ENGINEERING AND PROCESS SAFETY • Previous Articles     Next Articles

A systematic approach for synthesizing a low-temperature distillation system

Yiqing Luo, Liang Kong, Xigang Yuan   

  1. Chemical Engineering Research Center, School of Chemical Engineering and Technology, Tianjin University, Tianjin 300072, China
  • Received:2014-03-12 Revised:2014-06-05 Online:2015-06-26 Published:2015-05-28
  • Contact: Yiqing Luo
  • Supported by:

    Supported by the National Basic Research Programof China (2010CB720500) and the National Natural Science Foundation of China (21176178).

A systematic approach for synthesizing a low-temperature distillation system

Yiqing Luo, Liang Kong, Xigang Yuan   

  1. Chemical Engineering Research Center, School of Chemical Engineering and Technology, Tianjin University, Tianjin 300072, China
  • 通讯作者: Yiqing Luo
  • 基金资助:

    Supported by the National Basic Research Programof China (2010CB720500) and the National Natural Science Foundation of China (21176178).

Abstract: In this paper, by combining a stochastic optimization method with a refrigeration shaft work targeting method, an approach for the synthesis of a heat integrated complex distillation system in a low-temperature process is presented. The synthesis problem is formulated as a mixed-integer nonlinear programming (MINLP) problem, which is solved by simulated annealing algorithm under a random procedure to explore the optimal operating parameters and the distillation sequence structure. The shaft work targeting method is used to evaluate the minimum energy cost of the corresponding separation system during the optimization without any need for a detailed design for the heat exchanger network (HEN) and the refrigeration system (RS). The method presented in the paper can dramatically reduce the scale and complexity of the problem. A case study of ethylene cold-end separation is used to illustrate the application of the approach. Compared with the original industrial scheme, the result is encouraging.

Key words: System engineering, Low-temperature distillation system, Process synthesis, Distillation sequence, Shaft work target

摘要: In this paper, by combining a stochastic optimization method with a refrigeration shaft work targeting method, an approach for the synthesis of a heat integrated complex distillation system in a low-temperature process is presented. The synthesis problem is formulated as a mixed-integer nonlinear programming (MINLP) problem, which is solved by simulated annealing algorithm under a random procedure to explore the optimal operating parameters and the distillation sequence structure. The shaft work targeting method is used to evaluate the minimum energy cost of the corresponding separation system during the optimization without any need for a detailed design for the heat exchanger network (HEN) and the refrigeration system (RS). The method presented in the paper can dramatically reduce the scale and complexity of the problem. A case study of ethylene cold-end separation is used to illustrate the application of the approach. Compared with the original industrial scheme, the result is encouraging.

关键词: System engineering, Low-temperature distillation system, Process synthesis, Distillation sequence, Shaft work target