Reliable laboratory reactor data analysis: Evaluation of commercial FCC catalysts in a batch fluidized bed reactor

Autores
Del Río, Daniel; Passamonti, Francisco Javier; Sedran, Ulises Anselmo
Año de publicación
2015
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Statistical techniques for the treatment and analysis of experimental data from laboratory reactors were considered, as applied to a CREC Riser Simulator reactor for the example of fluid catalytic cracking catalyst evaluation. Deviations in mass balances were reconciliated considering the variance in each product mass. After reconciliations, simple optimum performance envelope curves were used to fit the data due to their simplicity and proper representation of the yield curves. In the data fitting step, errors in both dependent and independent variables were considered by using information obtained in the reconciliation procedure. The impact of different levels of confidence bands in the models on the discrimination of experimental results was discussed. Significant improvements in catalyst evaluation could be achieved either in the CREC Riser Simulator or other types of laboratory reactors with the help of the statistical procedures described here without increasing substantially the number of experiments.
Fil: Del Río, Daniel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Investigaciones en Catálisis y Petroquímica "Ing. José Miguel Parera". Universidad Nacional del Litoral. Instituto de Investigaciones en Catálisis y Petroquímica "Ing. José Miguel Parera"; Argentina
Fil: Passamonti, Francisco Javier. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Investigaciones en Catálisis y Petroquímica "Ing. José Miguel Parera". Universidad Nacional del Litoral. Instituto de Investigaciones en Catálisis y Petroquímica "Ing. José Miguel Parera"; Argentina
Fil: Sedran, Ulises Anselmo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Investigaciones en Catálisis y Petroquímica "Ing. José Miguel Parera". Universidad Nacional del Litoral. Instituto de Investigaciones en Catálisis y Petroquímica "Ing. José Miguel Parera"; Argentina
Materia
CATALYST EVALUATION
CONFIDENCE BANDS
CREC RISER SIMULATOR
FCC CATALYSTS
LABORATORY REACTORS
MASS BALANCE RECONCILIATION
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/117353

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spelling Reliable laboratory reactor data analysis: Evaluation of commercial FCC catalysts in a batch fluidized bed reactorDel Río, DanielPassamonti, Francisco JavierSedran, Ulises AnselmoCATALYST EVALUATIONCONFIDENCE BANDSCREC RISER SIMULATORFCC CATALYSTSLABORATORY REACTORSMASS BALANCE RECONCILIATIONhttps://purl.org/becyt/ford/2.4https://purl.org/becyt/ford/2Statistical techniques for the treatment and analysis of experimental data from laboratory reactors were considered, as applied to a CREC Riser Simulator reactor for the example of fluid catalytic cracking catalyst evaluation. Deviations in mass balances were reconciliated considering the variance in each product mass. After reconciliations, simple optimum performance envelope curves were used to fit the data due to their simplicity and proper representation of the yield curves. In the data fitting step, errors in both dependent and independent variables were considered by using information obtained in the reconciliation procedure. The impact of different levels of confidence bands in the models on the discrimination of experimental results was discussed. Significant improvements in catalyst evaluation could be achieved either in the CREC Riser Simulator or other types of laboratory reactors with the help of the statistical procedures described here without increasing substantially the number of experiments.Fil: Del Río, Daniel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Investigaciones en Catálisis y Petroquímica "Ing. José Miguel Parera". Universidad Nacional del Litoral. Instituto de Investigaciones en Catálisis y Petroquímica "Ing. José Miguel Parera"; ArgentinaFil: Passamonti, Francisco Javier. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Investigaciones en Catálisis y Petroquímica "Ing. José Miguel Parera". Universidad Nacional del Litoral. Instituto de Investigaciones en Catálisis y Petroquímica "Ing. José Miguel Parera"; ArgentinaFil: Sedran, Ulises Anselmo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Investigaciones en Catálisis y Petroquímica "Ing. José Miguel Parera". Universidad Nacional del Litoral. Instituto de Investigaciones en Catálisis y Petroquímica "Ing. José Miguel Parera"; ArgentinaTaylor & Francis2015-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/117353Del Río, Daniel; Passamonti, Francisco Javier; Sedran, Ulises Anselmo; Reliable laboratory reactor data analysis: Evaluation of commercial FCC catalysts in a batch fluidized bed reactor; Taylor & Francis; Chemical Engineering Communications; 202; 6; 1-2015; 756-7640098-6445CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.1080/00986445.2013.871710info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T10:06:55Zoai:ri.conicet.gov.ar:11336/117353instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-29 10:06:56.071CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Reliable laboratory reactor data analysis: Evaluation of commercial FCC catalysts in a batch fluidized bed reactor
title Reliable laboratory reactor data analysis: Evaluation of commercial FCC catalysts in a batch fluidized bed reactor
spellingShingle Reliable laboratory reactor data analysis: Evaluation of commercial FCC catalysts in a batch fluidized bed reactor
Del Río, Daniel
CATALYST EVALUATION
CONFIDENCE BANDS
CREC RISER SIMULATOR
FCC CATALYSTS
LABORATORY REACTORS
MASS BALANCE RECONCILIATION
title_short Reliable laboratory reactor data analysis: Evaluation of commercial FCC catalysts in a batch fluidized bed reactor
title_full Reliable laboratory reactor data analysis: Evaluation of commercial FCC catalysts in a batch fluidized bed reactor
title_fullStr Reliable laboratory reactor data analysis: Evaluation of commercial FCC catalysts in a batch fluidized bed reactor
title_full_unstemmed Reliable laboratory reactor data analysis: Evaluation of commercial FCC catalysts in a batch fluidized bed reactor
title_sort Reliable laboratory reactor data analysis: Evaluation of commercial FCC catalysts in a batch fluidized bed reactor
dc.creator.none.fl_str_mv Del Río, Daniel
Passamonti, Francisco Javier
Sedran, Ulises Anselmo
author Del Río, Daniel
author_facet Del Río, Daniel
Passamonti, Francisco Javier
Sedran, Ulises Anselmo
author_role author
author2 Passamonti, Francisco Javier
Sedran, Ulises Anselmo
author2_role author
author
dc.subject.none.fl_str_mv CATALYST EVALUATION
CONFIDENCE BANDS
CREC RISER SIMULATOR
FCC CATALYSTS
LABORATORY REACTORS
MASS BALANCE RECONCILIATION
topic CATALYST EVALUATION
CONFIDENCE BANDS
CREC RISER SIMULATOR
FCC CATALYSTS
LABORATORY REACTORS
MASS BALANCE RECONCILIATION
purl_subject.fl_str_mv https://purl.org/becyt/ford/2.4
https://purl.org/becyt/ford/2
dc.description.none.fl_txt_mv Statistical techniques for the treatment and analysis of experimental data from laboratory reactors were considered, as applied to a CREC Riser Simulator reactor for the example of fluid catalytic cracking catalyst evaluation. Deviations in mass balances were reconciliated considering the variance in each product mass. After reconciliations, simple optimum performance envelope curves were used to fit the data due to their simplicity and proper representation of the yield curves. In the data fitting step, errors in both dependent and independent variables were considered by using information obtained in the reconciliation procedure. The impact of different levels of confidence bands in the models on the discrimination of experimental results was discussed. Significant improvements in catalyst evaluation could be achieved either in the CREC Riser Simulator or other types of laboratory reactors with the help of the statistical procedures described here without increasing substantially the number of experiments.
Fil: Del Río, Daniel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Investigaciones en Catálisis y Petroquímica "Ing. José Miguel Parera". Universidad Nacional del Litoral. Instituto de Investigaciones en Catálisis y Petroquímica "Ing. José Miguel Parera"; Argentina
Fil: Passamonti, Francisco Javier. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Investigaciones en Catálisis y Petroquímica "Ing. José Miguel Parera". Universidad Nacional del Litoral. Instituto de Investigaciones en Catálisis y Petroquímica "Ing. José Miguel Parera"; Argentina
Fil: Sedran, Ulises Anselmo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Investigaciones en Catálisis y Petroquímica "Ing. José Miguel Parera". Universidad Nacional del Litoral. Instituto de Investigaciones en Catálisis y Petroquímica "Ing. José Miguel Parera"; Argentina
description Statistical techniques for the treatment and analysis of experimental data from laboratory reactors were considered, as applied to a CREC Riser Simulator reactor for the example of fluid catalytic cracking catalyst evaluation. Deviations in mass balances were reconciliated considering the variance in each product mass. After reconciliations, simple optimum performance envelope curves were used to fit the data due to their simplicity and proper representation of the yield curves. In the data fitting step, errors in both dependent and independent variables were considered by using information obtained in the reconciliation procedure. The impact of different levels of confidence bands in the models on the discrimination of experimental results was discussed. Significant improvements in catalyst evaluation could be achieved either in the CREC Riser Simulator or other types of laboratory reactors with the help of the statistical procedures described here without increasing substantially the number of experiments.
publishDate 2015
dc.date.none.fl_str_mv 2015-01
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/117353
Del Río, Daniel; Passamonti, Francisco Javier; Sedran, Ulises Anselmo; Reliable laboratory reactor data analysis: Evaluation of commercial FCC catalysts in a batch fluidized bed reactor; Taylor & Francis; Chemical Engineering Communications; 202; 6; 1-2015; 756-764
0098-6445
CONICET Digital
CONICET
url http://hdl.handle.net/11336/117353
identifier_str_mv Del Río, Daniel; Passamonti, Francisco Javier; Sedran, Ulises Anselmo; Reliable laboratory reactor data analysis: Evaluation of commercial FCC catalysts in a batch fluidized bed reactor; Taylor & Francis; Chemical Engineering Communications; 202; 6; 1-2015; 756-764
0098-6445
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/10.1080/00986445.2013.871710
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
application/pdf
dc.publisher.none.fl_str_mv Taylor & Francis
publisher.none.fl_str_mv Taylor & Francis
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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