A formulation methodology for multicomponent distillation sequences based on stochastic optimization

FeiWang; Yiqing Luo; Xigang Yuan

doi:10.1016/j.cjche.2016.04.046

Your Location：

Home >

Browse articles >

A formulation methodology for multicomponent distillation sequences based on stochastic optimization

Process Systems Engineering and Process Safety | Updated：2026-01-06

- A formulation methodology for multicomponent distillation sequences based on stochastic optimization
- Chinese Journal of Chemical Engineering Vol. 24, Issue 9, Pages: 1229-1235(2016)
- Affiliations：
  
  1. Chemical Engineering Research Center, School of Chemical Engineering and Technology, Tianjin University,Tianjin,China,300072
  2. State Key Laboratory of Chemical Engineering, Tianjin University,Tianjin,China,300072
- Author bio：
- Funds：
- DOI：10.1016/j.cjche.2016.04.046
  CLC： 10.1016/j.cjche.2016.04.046
- Published：2016
- Accepted：
Scan QR Code
FeiWang, Yiqing Luo, Xigang Yuan. A formulation methodology for multicomponent distillation sequences based on stochastic optimization[J]. , 2016, 24(9): 1229-1235.
DOI：

FeiWang, Yiqing Luo, Xigang Yuan. A formulation methodology for multicomponent distillation sequences based on stochastic optimization[J]. , 2016, 24(9): 1229-1235. DOI： 10.1016/j.cjche.2016.04.046.

摘要

中图分类号:

Abstract

Based on stochastic optimization strategy

a formulation methodology is proposed for synthesizing distillation column sequences

allowing more than one middle component as the distributing components between a pair of key components in the non-sharp split. In order to represent and manipulate the distillation configuration structures

a new coding procedure is proposed in the form of one-dimensional array. Theoretically

an array can represent any kind of split (non-sharp and sharp).With the application of a binary sort tree approach

a robust flow sheet encoding and decoding procedure is developed so that the problem formulation and solution becomes tractable. In this paper

the synthesis problem is formulated as a mixed-integer nonlinear programming (MINLP) problem and an improved simulated annealing approach is adopted to solve the optimization problem. Besides

a shortcut method is applied to the evaluation of all required design parameters as well as the total function.

关键词

Keywords

references

Views

129

Downloads

CSCD

Alert me when the article has been cited

Submit

Tools

Publicity Resources

Cascade refrigeration system synthesis based on hybrid simulated annealing and particle swarm optimization algorithm

Simulated annealing-based optimal design of energy efficient ternary extractive dividing wall distillation process for separating benzene-isopropanol-water mixtures

Optimal synthesis of multi-plant heat exchanger networks considering both direct and indirect methods

Multi-objective optimization of methane production system from biomass through anaerobic digestion

Thermodynamic design of a cascade refrigeration system of liquefied natural gas by applying mixed integer non-linear programming

Related Author

Xigang Yuan

Danlei Chen

Yue Cui

Min Li

Xiaojing Shi

Zhishan Zhang

Xiaoxiao Zhao

Xiuyu Zhu

Related Institution

College of Chemical and Biological Engineering, Shandong University of Science and Technology

State Key Laboratory of Heavy Oil Processing, China University of Petroleum

School of Chemical Engineering, Xi'an Jiaotong University

2 Sino-Danish Center for Education and Research, University of Chinese Academy of Sciences

3 Department of Chemical & Biochemical Engineering, Technical University of Denmark, DK Kgs2800. Lyngby

⁰