OPTIMIZATION OF KINETIC LUMPING MODEL PARAMETERS TO IMPROVE PRODUCTS QUALITY IN THE HYDROCRACKING PROCESS

Detalhes bibliográficos
Autor(a) principal: Naderi,Hamed
Data de Publicação: 2018
Outros Autores: Shokri,Saeid, Ahmadpanah,Seyed Javad
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=S0104-66322018000200757
Resumo: Abstract In this study a typical continuous lumping model with five parameters has been used for kinetic modeling of thermal and catalytic hydrocracking. Model parameters have been optimized according to experimental product distributions using a particle swarm optimization (PSO) algorithm. Experimental data from the hydrocracker setup have been employed to validate the proposed model. In this setup hydrogen and vacuum gasoil feed were introduced from the top of a vertical reactor and, after passing through a catalyst bed, the liquid and gas products were separated and analyzed. Temperature of the reactor was adjusted in the range of 440-470°C for thermal hydrocracking, and 410-430°C for catalytic hydrocracking. Liquid hourly space velocities (LHSV) were in the range of 0.5-1.5 feed flow rate per catalyst volume in both sets of experiments. Results of optimization showed that the parameters were only temperature dependent. The comparison between model results and experimental data indicates that the model is capable of predicting product yield with maximum errors of 0.986 and 0.041 for RMSE and AARE values, respectively.
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spelling OPTIMIZATION OF KINETIC LUMPING MODEL PARAMETERS TO IMPROVE PRODUCTS QUALITY IN THE HYDROCRACKING PROCESSOptimizationHydrocracking ProcessModel ParametersContinuous Lumping ModelTubular Reactor SystemAbstract In this study a typical continuous lumping model with five parameters has been used for kinetic modeling of thermal and catalytic hydrocracking. Model parameters have been optimized according to experimental product distributions using a particle swarm optimization (PSO) algorithm. Experimental data from the hydrocracker setup have been employed to validate the proposed model. In this setup hydrogen and vacuum gasoil feed were introduced from the top of a vertical reactor and, after passing through a catalyst bed, the liquid and gas products were separated and analyzed. Temperature of the reactor was adjusted in the range of 440-470°C for thermal hydrocracking, and 410-430°C for catalytic hydrocracking. Liquid hourly space velocities (LHSV) were in the range of 0.5-1.5 feed flow rate per catalyst volume in both sets of experiments. Results of optimization showed that the parameters were only temperature dependent. The comparison between model results and experimental data indicates that the model is capable of predicting product yield with maximum errors of 0.986 and 0.041 for RMSE and AARE values, respectively.Brazilian Society of Chemical Engineering2018-06-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0104-66322018000200757Brazilian Journal of Chemical Engineering v.35 n.2 2018reponame:Brazilian Journal of Chemical Engineeringinstname:Associação Brasileira de Engenharia Química (ABEQ)instacron:ABEQ10.1590/0104-6632.20180352s20160494info:eu-repo/semantics/openAccessNaderi,HamedShokri,SaeidAhmadpanah,Seyed Javadeng2018-09-17T00:00:00Zoai:scielo:S0104-66322018000200757Revistahttps://www.scielo.br/j/bjce/https://old.scielo.br/oai/scielo-oai.phprgiudici@usp.br||rgiudici@usp.br1678-43830104-6632opendoar:2018-09-17T00:00Brazilian Journal of Chemical Engineering - Associação Brasileira de Engenharia Química (ABEQ)false
dc.title.none.fl_str_mv OPTIMIZATION OF KINETIC LUMPING MODEL PARAMETERS TO IMPROVE PRODUCTS QUALITY IN THE HYDROCRACKING PROCESS
title OPTIMIZATION OF KINETIC LUMPING MODEL PARAMETERS TO IMPROVE PRODUCTS QUALITY IN THE HYDROCRACKING PROCESS
spellingShingle OPTIMIZATION OF KINETIC LUMPING MODEL PARAMETERS TO IMPROVE PRODUCTS QUALITY IN THE HYDROCRACKING PROCESS
Naderi,Hamed
Optimization
Hydrocracking Process
Model Parameters
Continuous Lumping Model
Tubular Reactor System
title_short OPTIMIZATION OF KINETIC LUMPING MODEL PARAMETERS TO IMPROVE PRODUCTS QUALITY IN THE HYDROCRACKING PROCESS
title_full OPTIMIZATION OF KINETIC LUMPING MODEL PARAMETERS TO IMPROVE PRODUCTS QUALITY IN THE HYDROCRACKING PROCESS
title_fullStr OPTIMIZATION OF KINETIC LUMPING MODEL PARAMETERS TO IMPROVE PRODUCTS QUALITY IN THE HYDROCRACKING PROCESS
title_full_unstemmed OPTIMIZATION OF KINETIC LUMPING MODEL PARAMETERS TO IMPROVE PRODUCTS QUALITY IN THE HYDROCRACKING PROCESS
title_sort OPTIMIZATION OF KINETIC LUMPING MODEL PARAMETERS TO IMPROVE PRODUCTS QUALITY IN THE HYDROCRACKING PROCESS
author Naderi,Hamed
author_facet Naderi,Hamed
Shokri,Saeid
Ahmadpanah,Seyed Javad
author_role author
author2 Shokri,Saeid
Ahmadpanah,Seyed Javad
author2_role author
author
dc.contributor.author.fl_str_mv Naderi,Hamed
Shokri,Saeid
Ahmadpanah,Seyed Javad
dc.subject.por.fl_str_mv Optimization
Hydrocracking Process
Model Parameters
Continuous Lumping Model
Tubular Reactor System
topic Optimization
Hydrocracking Process
Model Parameters
Continuous Lumping Model
Tubular Reactor System
description Abstract In this study a typical continuous lumping model with five parameters has been used for kinetic modeling of thermal and catalytic hydrocracking. Model parameters have been optimized according to experimental product distributions using a particle swarm optimization (PSO) algorithm. Experimental data from the hydrocracker setup have been employed to validate the proposed model. In this setup hydrogen and vacuum gasoil feed were introduced from the top of a vertical reactor and, after passing through a catalyst bed, the liquid and gas products were separated and analyzed. Temperature of the reactor was adjusted in the range of 440-470°C for thermal hydrocracking, and 410-430°C for catalytic hydrocracking. Liquid hourly space velocities (LHSV) were in the range of 0.5-1.5 feed flow rate per catalyst volume in both sets of experiments. Results of optimization showed that the parameters were only temperature dependent. The comparison between model results and experimental data indicates that the model is capable of predicting product yield with maximum errors of 0.986 and 0.041 for RMSE and AARE values, respectively.
publishDate 2018
dc.date.none.fl_str_mv 2018-06-01
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=S0104-66322018000200757
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0104-66322018000200757
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/0104-6632.20180352s20160494
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.2 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
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