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Optimal sequencing of conventional distillation column train for multicomponent separation system by evolutionary algorithm

  • Prashant A. Giri ORCID logo EMAIL logo and Yogesh S. Mahajan ORCID logo
Published/Copyright: September 21, 2022
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Abstract

The best structure of multicomponent separation techniques can be obtained using optimal distillation sequencing. Because distillation sequences contribute significantly to the fixed and operational cost of the entire chemical process, developing a systematic approach for choosing the most appropriate and economic distillation sequences becomes an important field of study. Due to its high dimensional space and combinatorial nature, synthesis of the optimal conventional distillation column sequence is a tough problem in the field of process plant development and optimization. A novel method for the synthesis of an optimal conventional distillation column sequence is suggested in this study. Genetic algorithm, an evolutionary algorithm is at the heart of the proposed method. The Total Annual Cost (TAC) is the main basis used to evaluate alternative configurations. To estimate the total cost of each sequence, rigorous methods are used to design all columns in the sequence. The proposed method’s performance and that of the conventional quantitative approach are compared using the results of a five component benchmark test problem used by researchers in this field. According to the comparison results, the suggested algorithm outclasses the other methods and is more adaptable than other existing approaches.


Corresponding author: Prashant A. Giri, Department of Chemical Engineering, Finolex Academy of Management and Technology, Ratnagiri, Maharashtra 415639, India, E-mail:

  1. Author contributions: All the authors have accepted responsibility for the entire content of this submitted manuscript and approved submission.

  2. Research funding: None declared.

  3. Conflict of interest statement: The authors declare no conflicts of interest regarding this article.

Appendix 1

Equations used:

A.1 Diameter of the column [39]

(A1) D C = 1.7057 ( 1 + R ) D ( T D V + 273 ) V P

where

(A2) V = 25.31 1 P   m/h

A.2 Height of the column [39]

(A3) H C = 0.6 ( N η ) + 4.27

A.3 Total installed cost of column [31]

(A4) Total annual cost = annual operating cost + total installed eqipment cost Project life

(A5) COL = 4263.67 D c 1.1292 H c [ M&S 599.4 ]

If the column pressure is more than 3.4 atm. Following correction factor is applied.

(A6) [ 1 + 0.0147 ( P 3.4 ) ]

A.4 Reboiler cost [31]

Assume U R  = 766.3 W/m2.0C

Total installed cost of reboiler

(A7) RINS = 1613.52 A R 0.65 [ M&S 274.0 ]

(A8) A R = Q R ( 3600 × U R Δ T )

Reboiler operating cost

(A9) ROP = ( 8500 h year ) C u , s Q R + 0.02 ( RINS )

A.5 Condenser cost [31]

(A10) Assume UC = 624.4 W/m 2 0 C

Total installed cost of condenser

(A11) CINS = 1613.52 A C 0.65 [ M&S 274.0 ]

(A12) A C = Q C ( 3600 × U C Δ T )

Condenser operating cost

(A13) COP = ( 8500 h year ) C u , c Q C + 0.02 ( CINS )

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Received: 2022-05-29
Accepted: 2022-08-30
Published Online: 2022-09-21

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