Design and optimization of compound distillation sequences comprising simple distillation and dividing-wall columns using genetic programming
Created by W.Langdon from
gp-bibliography.bib Revision:1.8081
- @Article{YUAN:2024:ces,
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author = "Yang Yuan and Linlin Zhang and Gade Pandu Rangaiah and
Guochao Wang and Xing Qian and
Lakshminarayanan Samavedham",
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title = "Design and optimization of compound distillation
sequences comprising simple distillation and
dividing-wall columns using genetic programming",
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journal = "Chemical Engineering Science",
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year = "2024",
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volume = "291",
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pages = "119950",
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month = "5 " # jun,
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keywords = "genetic algorithms, genetic programming, Distillation
sequence, Dividing-wall column, Optimization,
Artificial neural network, ANN",
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ISSN = "0009-2509",
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URL = "https://www.sciencedirect.com/science/article/pii/S0009250924002501",
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DOI = "doi:10.1016/j.ces.2024.119950",
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abstract = "For the separation of multi-component mixtures,
compound distillation sequences (CDSs) comprising
simple distillation columns (SDCs) and dividing-wall
columns (DWCs) offer the advantage of significant
energy-saving potential and relatively straightforward
industrial implementation. This work proposes a design
framework to facilitate the development of optimal
CDSs. In this framework, genetic programming is
employed to explore the optimal sequence;
simultaneously, the exhaustive search method and the
elitist genetic algorithm are separately employed to
search for the optimal design of, respectively, SDCs
and DWCs involved. Furthermore, to efficiently estimate
the total annual cost (TAC) and both the flow rates and
compositions of products of the SDCs and DWCs during
the optimization process, artificial neural network
(ANN)-based performance estimators were developed for
them. An illustrative case study on
n-butane/n-pentane/benzene/toluene/o-xylene/2,4-methyl-benzene
mixtures is conducted. Analysis of the optimization
results demonstrates a significant improvement in
economic performance for the resulting CDS compared to
the direct and indirect SDC sequences",
- }
Genetic Programming entries for
Yang Yuan
Linlin Zhang
Gade Pandu Rangaiah
Guochao Wang
Xing Qian
Samavedham Lakshminarayanan
Citations