Systematic Design and Evaluation of Energy-Efficient Alternatives of Heterogeneous Azeotropic Distillation: Furfural Case Study

Separation of azeotropic mixtures receives special attention for their impact on various significant industrial processes. Because of the non-ideal behaviour of these mixtures, it is impossible to separate them by conventional distillation. Instead of a single distillation unit, a system of multiple...

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Autores principales: Jean Pimentel, Ferenc Friedler
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Publicado: AIDIC Servizi S.r.l. 2021
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Acceso en línea:https://doaj.org/article/85c33a18a2bb45cea7f3b65800d0c0e0
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spelling oai:doaj.org-article:85c33a18a2bb45cea7f3b65800d0c0e02021-11-15T21:48:01ZSystematic Design and Evaluation of Energy-Efficient Alternatives of Heterogeneous Azeotropic Distillation: Furfural Case Study10.3303/CET21881032283-9216https://doaj.org/article/85c33a18a2bb45cea7f3b65800d0c0e02021-11-01T00:00:00Zhttps://www.cetjournal.it/index.php/cet/article/view/11896https://doaj.org/toc/2283-9216Separation of azeotropic mixtures receives special attention for their impact on various significant industrial processes. Because of the non-ideal behaviour of these mixtures, it is impossible to separate them by conventional distillation. Instead of a single distillation unit, a system of multiple operations is to be employed. Heterogeneous azeotropic distillation (HAD) is an example of this kind of systems, where entrainers are applied to modify the behaviour of the mixture. The selection of the best separation system is a key objective during the synthesis of the process network. However, synthesis of HAD is especially difficult because of the complex interaction between its continuous and discrete features. Therefore, traditional separation network synthesis tools are incapable of solving this problem. In this work, the properties of the ternary vapor-liquid-liquid equilibrium diagram are exploited for systematically identifying plausible operating units that perform the separation of the azeotrope. Subsequently, energy consumption of the entire network is estimated through rigorous simulation. The P-graph framework is employed to represent the system’s structure. Additionally, its combinatorial algorithms generate a rigorous superstructure for the synthesis problem, and the set of n-best designs that minimize energy consumption. The method is illustrated by synthesizing the dehydration of furfural through HAD. The results demonstrate that it constitutes a valuable tool for the designer by being effective in the systematic identification and assessment of HAD alternatives.Jean PimentelFerenc FriedlerAIDIC 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
Jean Pimentel
Ferenc Friedler
Systematic Design and Evaluation of Energy-Efficient Alternatives of Heterogeneous Azeotropic Distillation: Furfural Case Study
description Separation of azeotropic mixtures receives special attention for their impact on various significant industrial processes. Because of the non-ideal behaviour of these mixtures, it is impossible to separate them by conventional distillation. Instead of a single distillation unit, a system of multiple operations is to be employed. Heterogeneous azeotropic distillation (HAD) is an example of this kind of systems, where entrainers are applied to modify the behaviour of the mixture. The selection of the best separation system is a key objective during the synthesis of the process network. However, synthesis of HAD is especially difficult because of the complex interaction between its continuous and discrete features. Therefore, traditional separation network synthesis tools are incapable of solving this problem. In this work, the properties of the ternary vapor-liquid-liquid equilibrium diagram are exploited for systematically identifying plausible operating units that perform the separation of the azeotrope. Subsequently, energy consumption of the entire network is estimated through rigorous simulation. The P-graph framework is employed to represent the system’s structure. Additionally, its combinatorial algorithms generate a rigorous superstructure for the synthesis problem, and the set of n-best designs that minimize energy consumption. The method is illustrated by synthesizing the dehydration of furfural through HAD. The results demonstrate that it constitutes a valuable tool for the designer by being effective in the systematic identification and assessment of HAD alternatives.
format article
author Jean Pimentel
Ferenc Friedler
author_facet Jean Pimentel
Ferenc Friedler
author_sort Jean Pimentel
title Systematic Design and Evaluation of Energy-Efficient Alternatives of Heterogeneous Azeotropic Distillation: Furfural Case Study
title_short Systematic Design and Evaluation of Energy-Efficient Alternatives of Heterogeneous Azeotropic Distillation: Furfural Case Study
title_full Systematic Design and Evaluation of Energy-Efficient Alternatives of Heterogeneous Azeotropic Distillation: Furfural Case Study
title_fullStr Systematic Design and Evaluation of Energy-Efficient Alternatives of Heterogeneous Azeotropic Distillation: Furfural Case Study
title_full_unstemmed Systematic Design and Evaluation of Energy-Efficient Alternatives of Heterogeneous Azeotropic Distillation: Furfural Case Study
title_sort systematic design and evaluation of energy-efficient alternatives of heterogeneous azeotropic distillation: furfural case study
publisher AIDIC Servizi S.r.l.
publishDate 2021
url https://doaj.org/article/85c33a18a2bb45cea7f3b65800d0c0e0
work_keys_str_mv AT jeanpimentel systematicdesignandevaluationofenergyefficientalternativesofheterogeneousazeotropicdistillationfurfuralcasestudy
AT ferencfriedler systematicdesignandevaluationofenergyefficientalternativesofheterogeneousazeotropicdistillationfurfuralcasestudy
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