Excel as an optimization tool applied to multicomponent distillation column sizing
The unit operation of distillation is a method of significant importance for industrial separation processes, as it enables the fractionation of a mixture based on the differences in volatility among its components. Considering that a typical initial mixture generally contains three or more product...
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Format: | Article |
Language: | English |
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Universidade Federal de Viçosa (UFV)
2024-05-01
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Series: | The Journal of Engineering and Exact Sciences |
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Online Access: | https://periodicos.ufv.br/jcec/article/view/18680 |
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author | Luan Jonas de Souza Ribeiro Camila Rodrigues Carneiro Sara Gallegos Bosmediano Mateus Tomaz Neves Manoela Maciel dos Santos Dias Fernanda Raquel Carvalho |
author_facet | Luan Jonas de Souza Ribeiro Camila Rodrigues Carneiro Sara Gallegos Bosmediano Mateus Tomaz Neves Manoela Maciel dos Santos Dias Fernanda Raquel Carvalho |
author_sort | Luan Jonas de Souza Ribeiro |
collection | DOAJ |
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The unit operation of distillation is a method of significant importance for industrial separation processes, as it enables the fractionation of a mixture based on the differences in volatility among its components. Considering that a typical initial mixture generally contains three or more products of interest, studies aimed at optimizing multicomponent distillation, although scarce in the literature, are increasingly imperative to ensure efficiency and reduce operational and energy costs associated with the process. Since sizing multicomponent distillation columns using the Fenske-Underwood and Gilliland (FUG) and Kirkbride methods involves extensive and complex calculations to obtain operational parameters, the objective of this study was to develop a computational method using Microsoft Excel® software to make them more practical and enhance the accuracy of the results obtained. The functionality of the developed spreadsheet was verified through the resolution of an example of application, both manually and electronically. In both cases, the results obtained were identical, but with significantly lower time consumption and probability of error by the electronic method, demonstrating its potential for use in academic and industrial settings.
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format | Article |
id | doaj-art-c001c2406c274e96a4585a087815b266 |
institution | Kabale University |
issn | 2527-1075 |
language | English |
publishDate | 2024-05-01 |
publisher | Universidade Federal de Viçosa (UFV) |
record_format | Article |
series | The Journal of Engineering and Exact Sciences |
spelling | doaj-art-c001c2406c274e96a4585a087815b2662025-02-02T19:53:46ZengUniversidade Federal de Viçosa (UFV)The Journal of Engineering and Exact Sciences2527-10752024-05-0110310.18540/jcecvl10iss3pp18680Excel as an optimization tool applied to multicomponent distillation column sizingLuan Jonas de Souza Ribeiro0Camila Rodrigues Carneiro1Sara Gallegos Bosmediano2Mateus Tomaz Neves 3Manoela Maciel dos Santos Dias4Fernanda Raquel Carvalho5Viçosa University Center - UNIVIÇOSA, Brazil Federal University of Viçosa, BrazilFederal University of Viçosa, BrazilViçosa University Center - UNIVIÇOSA, Brazil Federal University of Viçosa, BrazilViçosa University Center - UNIVIÇOSA, Brazil The unit operation of distillation is a method of significant importance for industrial separation processes, as it enables the fractionation of a mixture based on the differences in volatility among its components. Considering that a typical initial mixture generally contains three or more products of interest, studies aimed at optimizing multicomponent distillation, although scarce in the literature, are increasingly imperative to ensure efficiency and reduce operational and energy costs associated with the process. Since sizing multicomponent distillation columns using the Fenske-Underwood and Gilliland (FUG) and Kirkbride methods involves extensive and complex calculations to obtain operational parameters, the objective of this study was to develop a computational method using Microsoft Excel® software to make them more practical and enhance the accuracy of the results obtained. The functionality of the developed spreadsheet was verified through the resolution of an example of application, both manually and electronically. In both cases, the results obtained were identical, but with significantly lower time consumption and probability of error by the electronic method, demonstrating its potential for use in academic and industrial settings. https://periodicos.ufv.br/jcec/article/view/18680SeparationMulticomponentFenske-Underwood methodGilliland methodExcel |
spellingShingle | Luan Jonas de Souza Ribeiro Camila Rodrigues Carneiro Sara Gallegos Bosmediano Mateus Tomaz Neves Manoela Maciel dos Santos Dias Fernanda Raquel Carvalho Excel as an optimization tool applied to multicomponent distillation column sizing The Journal of Engineering and Exact Sciences Separation Multicomponent Fenske-Underwood method Gilliland method Excel |
title | Excel as an optimization tool applied to multicomponent distillation column sizing |
title_full | Excel as an optimization tool applied to multicomponent distillation column sizing |
title_fullStr | Excel as an optimization tool applied to multicomponent distillation column sizing |
title_full_unstemmed | Excel as an optimization tool applied to multicomponent distillation column sizing |
title_short | Excel as an optimization tool applied to multicomponent distillation column sizing |
title_sort | excel as an optimization tool applied to multicomponent distillation column sizing |
topic | Separation Multicomponent Fenske-Underwood method Gilliland method Excel |
url | https://periodicos.ufv.br/jcec/article/view/18680 |
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