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Entropic Balance Conditions and Optimization of Distillation Column System
The paper considers the limitation problem of the distillation column systems separating multicomponent mixtures with serial and parallel structures. The solution takes into account the irreversibility of processes. Using entropic balance conditions, the dependence of load on heat consumption is obt...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8618212/ https://www.ncbi.nlm.nih.gov/pubmed/34828166 http://dx.doi.org/10.3390/e23111468 |
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author | Balunov, Alexander Sukin, Ivan Tsirlin, Anatoly |
author_facet | Balunov, Alexander Sukin, Ivan Tsirlin, Anatoly |
author_sort | Balunov, Alexander |
collection | PubMed |
description | The paper considers the limitation problem of the distillation column systems separating multicomponent mixtures with serial and parallel structures. The solution takes into account the irreversibility of processes. Using entropic balance conditions, the dependence of load on heat consumption is obtained for a binary distillation column. This dependence is parameterized through two characteristic coefficients–reversible efficiency and irreversibility factor. This dependence was used to solve problems of distribution of heat and raw material fluxes in parallel column structure and selection of optimal separation order in serial structure. The obtained results make it possible to estimate the minimum heat consumption for the separation of a given flow of raw materials, the maximum productivity, and efficiency of the system. |
format | Online Article Text |
id | pubmed-8618212 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-86182122021-11-27 Entropic Balance Conditions and Optimization of Distillation Column System Balunov, Alexander Sukin, Ivan Tsirlin, Anatoly Entropy (Basel) Article The paper considers the limitation problem of the distillation column systems separating multicomponent mixtures with serial and parallel structures. The solution takes into account the irreversibility of processes. Using entropic balance conditions, the dependence of load on heat consumption is obtained for a binary distillation column. This dependence is parameterized through two characteristic coefficients–reversible efficiency and irreversibility factor. This dependence was used to solve problems of distribution of heat and raw material fluxes in parallel column structure and selection of optimal separation order in serial structure. The obtained results make it possible to estimate the minimum heat consumption for the separation of a given flow of raw materials, the maximum productivity, and efficiency of the system. MDPI 2021-11-06 /pmc/articles/PMC8618212/ /pubmed/34828166 http://dx.doi.org/10.3390/e23111468 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Balunov, Alexander Sukin, Ivan Tsirlin, Anatoly Entropic Balance Conditions and Optimization of Distillation Column System |
title | Entropic Balance Conditions and Optimization of Distillation Column System |
title_full | Entropic Balance Conditions and Optimization of Distillation Column System |
title_fullStr | Entropic Balance Conditions and Optimization of Distillation Column System |
title_full_unstemmed | Entropic Balance Conditions and Optimization of Distillation Column System |
title_short | Entropic Balance Conditions and Optimization of Distillation Column System |
title_sort | entropic balance conditions and optimization of distillation column system |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8618212/ https://www.ncbi.nlm.nih.gov/pubmed/34828166 http://dx.doi.org/10.3390/e23111468 |
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