Design and optimization, using genetic algorithms, of intensified distillation systems for a class of quaternary mixtures

被引：72

作者：

Antonio Vazquez-Castillo, Jose ^{[1
]}

Addiel Venegas-Sanchez, Josue ^{[1
]}

Gabriel Segovia-Hernandez, Juan ^{[1
]}

Hernandez-Escoto, Hector ^{[1
]}

Hernandez, Salvador ^{[1
]}

Gutierrez-Antonio, Claudia ^{[2
]}

Briones-Ramirez, Abel ^{[3
,4
]}

机构：

[1] Univ Guanajuato, Dept Ingn Quim, Guanajuato 36050, Gto, Mexico

[2] CIATEQ AC, Queretaro 76150, Mexico

[3] Inst Tecnol Aguascalientes, Dept Ingn Quim, Aguascalientes 20256, Mexico

[4] Innovac Integral Sistemas SA CV, Queretaro 76120, Mexico

来源：

COMPUTERS & CHEMICAL ENGINEERING | 2009年 / 33卷 / 11期

关键词：

Energy savings; Distillation; Intensified systems; Stochastic optimization; ENERGY-CONSUMPTION; STRUCTURAL DESIGN; COLUMNS; CONFIGURATIONS; SEPARATION; EMISSIONS; SEQUENCES; PLANT;

D O I：

10.1016/j.compchemeng.2009.04.011

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

The design and optimization of a coupled multicomponent distillation system is a non-linear and multivariable problem. The complexity of this kind of problem results in high solving difficulty. This paper addresses the application of genetic algorithms to the optimization of intensified distillation systems for quaternary distillations. We used a multiobjective genetic algorithm with restrictions coupled to the Aspen Plus (TM) process simulator for the evaluation of the objective function. Several mixtures to test the effect of relative volatilities of feed mixtures on energy consumption, second law efficiency, total annual cost and theoretical control properties have been studied. Numerical performance shows that this design tool is robust and suitable for the design of coupled multicomponent distillation sequences. (C) 2009 Elsevier Ltd. All rights reserved.

引用

页码：1841 / 1850

页数：10

共 53 条

[1] Synthesis of distillation column configurations for a multicomponent separation [J].

Agrawal, R .

INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH, 1996, 35 (04) :1059-1071

[2] Design and optimization of fully thermally coupled distillation columns part 1: Preliminary design and optimization methodology [J].

Amminudin, KA ;

Smith, R ;

Thong, DYC ;

Towler, GP .

CHEMICAL ENGINEERING RESEARCH & DESIGN, 2001, 79 (A7) :701-715

[3]

*ASP TECHN INC, 2007, ASP PLUS 13 0 US MOD

[4] Energy-efficient designs of thermally coupled distillation sequences for four-component mixtures [J].

Blancarte-Palacios, JL ;

Bautista-Valdés, MN ;

Hernández, S ;

Rico-Ramírez, V ;

Jiménez, A .

INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH, 2003, 42 (21) :5157-5164

[5] Generalized disjunctive programming model for the optimal synthesis of thermally linked distillation columns [J].

Caballero, JA ;

Grossmann, IE .

INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH, 2001, 40 (10) :2260-2274

[6] Design and optimization of thermally coupled distillation schemes for the separation of multicomponent mixtures [J].

Calzon-McConville, CJ ;

Rosales-Zamora, MB ;

Segovia-Hernández, JG ;

Hernández, S ;

Rico-Ramírez, V .

INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH, 2006, 45 (02) :724-732

[7]

Christiansen AC, 1997, COMPUT CHEM ENG, V21, pS237, DOI 10.1016/S0098-1354(97)87508-4

[8] Constraint-handling using an evolutionary multiobjective optimization technique [J].

Coello, CAC .

CIVIL ENGINEERING AND ENVIRONMENTAL SYSTEMS, 2000, 17 (04) :319-346

[9]

Deb K., 2000, Parallel Problem Solving from Nature PPSN VI. 6th International Conference. Proceedings (Lecture Notes in Computer Science Vol.1917), P849

[10] Optimal design of thermally coupled distillation columns [J].

Dünnebier, G ;

Pantelides, CC .

INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH, 1999, 38 (01) :162-176

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