Genetic Algorithm for Pressure-Swing Distillation Optimisation: Ethanol and Ethyl Acetate Mixture

In the acetic acid esterification, ethanol (EtOH) in excess is used to produce ethyl acetate (EtAc), which is commonly used as an organic solvent in biochemical and food industries. On the other hand, EtOH is useful considering the growing production of bioethanol for the fuel market. The resulting...

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Autores principales: Víctor Manso Álvarez, Alexandra Elena Plesu Popescu, Jordi Bonet Ruiz, David Curcó
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Publicado: AIDIC Servizi S.r.l. 2021
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Acceso en línea:https://doaj.org/article/cb6f8b02bc704bfcb201b5e70cbdc770
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spelling oai:doaj.org-article:cb6f8b02bc704bfcb201b5e70cbdc7702021-11-15T21:48:49ZGenetic Algorithm for Pressure-Swing Distillation Optimisation: Ethanol and Ethyl Acetate Mixture10.3303/CET21880342283-9216https://doaj.org/article/cb6f8b02bc704bfcb201b5e70cbdc7702021-11-01T00:00:00Zhttps://www.cetjournal.it/index.php/cet/article/view/11827https://doaj.org/toc/2283-9216In the acetic acid esterification, ethanol (EtOH) in excess is used to produce ethyl acetate (EtAc), which is commonly used as an organic solvent in biochemical and food industries. On the other hand, EtOH is useful considering the growing production of bioethanol for the fuel market. The resulting mixture of EtAc with unreacted EtOH forms an azeotrope which is difficult to separate by conventional distillation. Literature data shows that the azeotropic binary mixture EtOH – EtAc is separated mostly through extractive distillation. Unfortunately, this procedure has some drawbacks, such as high energy cost and environmental concerns (quite related to the extracting agent recovery). However, taking advantage of the azeotrope sensitivity on pressure, the extracting agent use can be avoided. This paper presents an optimal design for the separation of the above-mentioned mixture, using pressure-swing distillation (PSD) as separation process. In order to achieve a fully optimised system in terms of energy and capital, the method followed consists in simulating the process with Aspen Plus® and making use of genetic algorithms (GAs) to optimise the process variables, including, among others, the pressure of the high-pressure column. This process variable is of great importance, and from our point of view, this factor has not been properly studied nor discussed in literature so far. The starting population consists of points that group a set of values for all the design variables. These sets are a mixture of random and calculated values, obtained by application of heuristics, so that the initial population contains some potentially good initial individuals. The optimisation code is written in Visual Basic language and the link between Aspen Plus® and Visual Basic is also programmed so that a continuous connection can assure information flow from the optimisation program to Aspen Plus® and vice-versa.Víctor Manso ÁlvarezAlexandra Elena Plesu PopescuJordi Bonet RuizDavid CurcóAIDIC Servizi S.r.l.articleChemical engineeringTP155-156Computer engineering. Computer hardwareTK7885-7895ENChemical Engineering Transactions, Vol 88 (2021)
institution DOAJ
collection DOAJ
language EN
topic Chemical engineering
TP155-156
Computer engineering. Computer hardware
TK7885-7895
spellingShingle Chemical engineering
TP155-156
Computer engineering. Computer hardware
TK7885-7895
Víctor Manso Álvarez
Alexandra Elena Plesu Popescu
Jordi Bonet Ruiz
David Curcó
Genetic Algorithm for Pressure-Swing Distillation Optimisation: Ethanol and Ethyl Acetate Mixture
description In the acetic acid esterification, ethanol (EtOH) in excess is used to produce ethyl acetate (EtAc), which is commonly used as an organic solvent in biochemical and food industries. On the other hand, EtOH is useful considering the growing production of bioethanol for the fuel market. The resulting mixture of EtAc with unreacted EtOH forms an azeotrope which is difficult to separate by conventional distillation. Literature data shows that the azeotropic binary mixture EtOH – EtAc is separated mostly through extractive distillation. Unfortunately, this procedure has some drawbacks, such as high energy cost and environmental concerns (quite related to the extracting agent recovery). However, taking advantage of the azeotrope sensitivity on pressure, the extracting agent use can be avoided. This paper presents an optimal design for the separation of the above-mentioned mixture, using pressure-swing distillation (PSD) as separation process. In order to achieve a fully optimised system in terms of energy and capital, the method followed consists in simulating the process with Aspen Plus® and making use of genetic algorithms (GAs) to optimise the process variables, including, among others, the pressure of the high-pressure column. This process variable is of great importance, and from our point of view, this factor has not been properly studied nor discussed in literature so far. The starting population consists of points that group a set of values for all the design variables. These sets are a mixture of random and calculated values, obtained by application of heuristics, so that the initial population contains some potentially good initial individuals. The optimisation code is written in Visual Basic language and the link between Aspen Plus® and Visual Basic is also programmed so that a continuous connection can assure information flow from the optimisation program to Aspen Plus® and vice-versa.
format article
author Víctor Manso Álvarez
Alexandra Elena Plesu Popescu
Jordi Bonet Ruiz
David Curcó
author_facet Víctor Manso Álvarez
Alexandra Elena Plesu Popescu
Jordi Bonet Ruiz
David Curcó
author_sort Víctor Manso Álvarez
title Genetic Algorithm for Pressure-Swing Distillation Optimisation: Ethanol and Ethyl Acetate Mixture
title_short Genetic Algorithm for Pressure-Swing Distillation Optimisation: Ethanol and Ethyl Acetate Mixture
title_full Genetic Algorithm for Pressure-Swing Distillation Optimisation: Ethanol and Ethyl Acetate Mixture
title_fullStr Genetic Algorithm for Pressure-Swing Distillation Optimisation: Ethanol and Ethyl Acetate Mixture
title_full_unstemmed Genetic Algorithm for Pressure-Swing Distillation Optimisation: Ethanol and Ethyl Acetate Mixture
title_sort genetic algorithm for pressure-swing distillation optimisation: ethanol and ethyl acetate mixture
publisher AIDIC Servizi S.r.l.
publishDate 2021
url https://doaj.org/article/cb6f8b02bc704bfcb201b5e70cbdc770
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