FRACTIONATION PROCESS OF ESSENTIAL OILS BY BATCH DISTILLATION
Autor(a) principal: | |
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Data de Publicação: | 2018 |
Outros Autores: | , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Brazilian Journal of Chemical Engineering |
Texto Completo: | http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0104-66322018000301129 |
Resumo: | Abstract The greatest obstacle in simulating processes involving essential oils is the small number of thermo-physical properties and experimental data available in the literature. In this work, thermodynamic models are investigated in order to predict such properties, which are requisites for the modelling and simulation of the Eucalyptus essential oil batch distillation processes. A group contribution method was used to predict the vapor pressure (CSGC-PVR) when experimental data were unavailable. Regarding the activity coefficients, a fully predictive model based on quantum calculations (COSMO-SAC) is used. Moreover, this work also uses those predicted properties in a dynamic model, capable of describing the fractionation process by batch distillation. The simulations were performed in the equation-oriented simulator EMSO to demonstrate the feasibility of the proposed method. The proposed method suggests a simulated recovery of a 98.89% eucalyptol fraction from E. globulus and a 98.53% citronellal fraction from E. citriodora. |
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Brazilian Journal of Chemical Engineering |
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FRACTIONATION PROCESS OF ESSENTIAL OILS BY BATCH DISTILLATIONEucalyptus essential oilthermodynamic modelingsimulationCOSMO-SACdynamic modelAbstract The greatest obstacle in simulating processes involving essential oils is the small number of thermo-physical properties and experimental data available in the literature. In this work, thermodynamic models are investigated in order to predict such properties, which are requisites for the modelling and simulation of the Eucalyptus essential oil batch distillation processes. A group contribution method was used to predict the vapor pressure (CSGC-PVR) when experimental data were unavailable. Regarding the activity coefficients, a fully predictive model based on quantum calculations (COSMO-SAC) is used. Moreover, this work also uses those predicted properties in a dynamic model, capable of describing the fractionation process by batch distillation. The simulations were performed in the equation-oriented simulator EMSO to demonstrate the feasibility of the proposed method. The proposed method suggests a simulated recovery of a 98.89% eucalyptol fraction from E. globulus and a 98.53% citronellal fraction from E. citriodora.Brazilian Society of Chemical Engineering2018-09-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0104-66322018000301129Brazilian Journal of Chemical Engineering v.35 n.3 2018reponame:Brazilian Journal of Chemical Engineeringinstname:Associação Brasileira de Engenharia Química (ABEQ)instacron:ABEQ10.1590/0104-6632.20180353s20170216info:eu-repo/semantics/openAccessAlmeida,Rafael N.Soares,Rafael de P.Cassel,Eduardoeng2019-01-15T00:00:00Zoai:scielo:S0104-66322018000301129Revistahttps://www.scielo.br/j/bjce/https://old.scielo.br/oai/scielo-oai.phprgiudici@usp.br||rgiudici@usp.br1678-43830104-6632opendoar:2019-01-15T00:00Brazilian Journal of Chemical Engineering - Associação Brasileira de Engenharia Química (ABEQ)false |
dc.title.none.fl_str_mv |
FRACTIONATION PROCESS OF ESSENTIAL OILS BY BATCH DISTILLATION |
title |
FRACTIONATION PROCESS OF ESSENTIAL OILS BY BATCH DISTILLATION |
spellingShingle |
FRACTIONATION PROCESS OF ESSENTIAL OILS BY BATCH DISTILLATION Almeida,Rafael N. Eucalyptus essential oil thermodynamic modeling simulation COSMO-SAC dynamic model |
title_short |
FRACTIONATION PROCESS OF ESSENTIAL OILS BY BATCH DISTILLATION |
title_full |
FRACTIONATION PROCESS OF ESSENTIAL OILS BY BATCH DISTILLATION |
title_fullStr |
FRACTIONATION PROCESS OF ESSENTIAL OILS BY BATCH DISTILLATION |
title_full_unstemmed |
FRACTIONATION PROCESS OF ESSENTIAL OILS BY BATCH DISTILLATION |
title_sort |
FRACTIONATION PROCESS OF ESSENTIAL OILS BY BATCH DISTILLATION |
author |
Almeida,Rafael N. |
author_facet |
Almeida,Rafael N. Soares,Rafael de P. Cassel,Eduardo |
author_role |
author |
author2 |
Soares,Rafael de P. Cassel,Eduardo |
author2_role |
author author |
dc.contributor.author.fl_str_mv |
Almeida,Rafael N. Soares,Rafael de P. Cassel,Eduardo |
dc.subject.por.fl_str_mv |
Eucalyptus essential oil thermodynamic modeling simulation COSMO-SAC dynamic model |
topic |
Eucalyptus essential oil thermodynamic modeling simulation COSMO-SAC dynamic model |
description |
Abstract The greatest obstacle in simulating processes involving essential oils is the small number of thermo-physical properties and experimental data available in the literature. In this work, thermodynamic models are investigated in order to predict such properties, which are requisites for the modelling and simulation of the Eucalyptus essential oil batch distillation processes. A group contribution method was used to predict the vapor pressure (CSGC-PVR) when experimental data were unavailable. Regarding the activity coefficients, a fully predictive model based on quantum calculations (COSMO-SAC) is used. Moreover, this work also uses those predicted properties in a dynamic model, capable of describing the fractionation process by batch distillation. The simulations were performed in the equation-oriented simulator EMSO to demonstrate the feasibility of the proposed method. The proposed method suggests a simulated recovery of a 98.89% eucalyptol fraction from E. globulus and a 98.53% citronellal fraction from E. citriodora. |
publishDate |
2018 |
dc.date.none.fl_str_mv |
2018-09-01 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0104-66322018000301129 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0104-66322018000301129 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.1590/0104-6632.20180353s20170216 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
text/html |
dc.publisher.none.fl_str_mv |
Brazilian Society of Chemical Engineering |
publisher.none.fl_str_mv |
Brazilian Society of Chemical Engineering |
dc.source.none.fl_str_mv |
Brazilian Journal of Chemical Engineering v.35 n.3 2018 reponame:Brazilian Journal of Chemical Engineering instname:Associação Brasileira de Engenharia Química (ABEQ) instacron:ABEQ |
instname_str |
Associação Brasileira de Engenharia Química (ABEQ) |
instacron_str |
ABEQ |
institution |
ABEQ |
reponame_str |
Brazilian Journal of Chemical Engineering |
collection |
Brazilian Journal of Chemical Engineering |
repository.name.fl_str_mv |
Brazilian Journal of Chemical Engineering - Associação Brasileira de Engenharia Química (ABEQ) |
repository.mail.fl_str_mv |
rgiudici@usp.br||rgiudici@usp.br |
_version_ |
1754213176253087744 |