Hydrodynamic aspects in anaerobic fluidized bed reactor modeling

Autores
Fuentes Mora, Mauren; Scenna, Nicolas Jose; Aguirre, Pio Antonio; Mussati, Miguel Ceferino
Año de publicación
2008
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
The main purpose of this paper is to analyze the adequacy of some hypotheses assumed in the literature for modeling mass transfer phenomena and hydrodynamics in bioreactors. Four different hydrodynamic models were investigated to simulate the dynamic behavior of an anaerobic fluidized bed reactor (AFBR). A total developed flow condition and the assumption of an incipient gas phase are some of the evaluated hypotheses. All AFBR models simultaneously compute the dynamics of the phases and their components, including the effect of the biofilm growth in the fluidization characteristics. From a computational point of view, ordinary and partial differential equation-based models were calculated using gPROMS (Process System Enterprise Ltd.). Simulations based on a case study were compared. The bioreactor performance was analyzed through the main variable profiles such as phase holdups and bed height, pH, chemical oxygen demand (COD), biofilm concentration and biogas flow rate. In a previous paper [M. Fuentes, M.C. Mussati, N.J. Scenna, P.A. Aguirre, Global modeling and simulation of a three-phase fluidized bed bioreactor, Comput. Chem. Eng., Ms. Ref. No.: 4281, submitted for publication], a heterogeneous model of a three-phase bioreactor system was presented by proposing a one-dimensional (axial) dispersive model. Its results are here used to establish a reference point. For example, the fact of considering a three-phase system with total developed flow (hydrodynamic pseudo-steady state) and complete mixture in all phases causes deviations around 5% in predictions of biofilm concentration, and 0.5% in predictions of liquid and gas phase component concentrations, when compared with results from the phenomenological dispersive model. However, predicted total COD removal efficiency is almost the same for both models. Although the gas holdup is negligible when compared with the liquid and solid ones in anaerobic fluidized bed reactors, results from model simplification assuming an incipient gas phase differ considerably from predictions based on original three-phase modeling.
Fil: Fuentes Mora, Mauren. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Desarrollo y Diseño. Universidad Tecnológica Nacional. Facultad Regional Santa Fe. Instituto de Desarrollo y Diseño; Argentina
Fil: Scenna, Nicolas Jose. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Desarrollo y Diseño. Universidad Tecnológica Nacional. Facultad Regional Santa Fe. Instituto de Desarrollo y Diseño; Argentina
Fil: Aguirre, Pio Antonio. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Desarrollo y Diseño. Universidad Tecnológica Nacional. Facultad Regional Santa Fe. Instituto de Desarrollo y Diseño; Argentina
Fil: Mussati, Miguel Ceferino. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Desarrollo y Diseño. Universidad Tecnológica Nacional. Facultad Regional Santa Fe. Instituto de Desarrollo y Diseño; Argentina
Materia
Hydrodinamycs
Bioreactors
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:11336/83833
Acceder
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oai_identifier_str oai:ri.conicet.gov.ar:11336/83833
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network_name_str CONICET Digital (CONICET)
spelling Hydrodynamic aspects in anaerobic fluidized bed reactor modelingFuentes Mora, MaurenScenna, Nicolas JoseAguirre, Pio AntonioMussati, Miguel CeferinoHydrodinamycsBioreactorshttps://purl.org/becyt/ford/2.4https://purl.org/becyt/ford/2The main purpose of this paper is to analyze the adequacy of some hypotheses assumed in the literature for modeling mass transfer phenomena and hydrodynamics in bioreactors. Four different hydrodynamic models were investigated to simulate the dynamic behavior of an anaerobic fluidized bed reactor (AFBR). A total developed flow condition and the assumption of an incipient gas phase are some of the evaluated hypotheses. All AFBR models simultaneously compute the dynamics of the phases and their components, including the effect of the biofilm growth in the fluidization characteristics. From a computational point of view, ordinary and partial differential equation-based models were calculated using gPROMS (Process System Enterprise Ltd.). Simulations based on a case study were compared. The bioreactor performance was analyzed through the main variable profiles such as phase holdups and bed height, pH, chemical oxygen demand (COD), biofilm concentration and biogas flow rate. In a previous paper [M. Fuentes, M.C. Mussati, N.J. Scenna, P.A. Aguirre, Global modeling and simulation of a three-phase fluidized bed bioreactor, Comput. Chem. Eng., Ms. Ref. No.: 4281, submitted for publication], a heterogeneous model of a three-phase bioreactor system was presented by proposing a one-dimensional (axial) dispersive model. Its results are here used to establish a reference point. For example, the fact of considering a three-phase system with total developed flow (hydrodynamic pseudo-steady state) and complete mixture in all phases causes deviations around 5% in predictions of biofilm concentration, and 0.5% in predictions of liquid and gas phase component concentrations, when compared with results from the phenomenological dispersive model. However, predicted total COD removal efficiency is almost the same for both models. Although the gas holdup is negligible when compared with the liquid and solid ones in anaerobic fluidized bed reactors, results from model simplification assuming an incipient gas phase differ considerably from predictions based on original three-phase modeling.Fil: Fuentes Mora, Mauren. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Desarrollo y Diseño. Universidad Tecnológica Nacional. Facultad Regional Santa Fe. Instituto de Desarrollo y Diseño; ArgentinaFil: Scenna, Nicolas Jose. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Desarrollo y Diseño. Universidad Tecnológica Nacional. Facultad Regional Santa Fe. Instituto de Desarrollo y Diseño; ArgentinaFil: Aguirre, Pio Antonio. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Desarrollo y Diseño. Universidad Tecnológica Nacional. Facultad Regional Santa Fe. Instituto de Desarrollo y Diseño; ArgentinaFil: Mussati, Miguel Ceferino. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Desarrollo y Diseño. Universidad Tecnológica Nacional. Facultad Regional Santa Fe. Instituto de Desarrollo y Diseño; ArgentinaElsevier Science Sa2008-12info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/83833Fuentes Mora, Mauren; Scenna, Nicolas Jose; Aguirre, Pio Antonio; Mussati, Miguel Ceferino; Hydrodynamic aspects in anaerobic fluidized bed reactor modeling; Elsevier Science Sa; Chemical Engineering and Processing; 47; 9-10; 12-2008; 1530-15400255-2701CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.1016/j.cep.2007.07.001info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T10:11:31Zoai:ri.conicet.gov.ar:11336/83833instacron: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 10:11:31.716CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Hydrodynamic aspects in anaerobic fluidized bed reactor modeling
title Hydrodynamic aspects in anaerobic fluidized bed reactor modeling
spellingShingle Hydrodynamic aspects in anaerobic fluidized bed reactor modeling
Fuentes Mora, Mauren
Hydrodinamycs
Bioreactors
title_short Hydrodynamic aspects in anaerobic fluidized bed reactor modeling
title_full Hydrodynamic aspects in anaerobic fluidized bed reactor modeling
title_fullStr Hydrodynamic aspects in anaerobic fluidized bed reactor modeling
title_full_unstemmed Hydrodynamic aspects in anaerobic fluidized bed reactor modeling
title_sort Hydrodynamic aspects in anaerobic fluidized bed reactor modeling
dc.creator.none.fl_str_mv Fuentes Mora, Mauren
Scenna, Nicolas Jose
Aguirre, Pio Antonio
Mussati, Miguel Ceferino
author Fuentes Mora, Mauren
author_facet Fuentes Mora, Mauren
Scenna, Nicolas Jose
Aguirre, Pio Antonio
Mussati, Miguel Ceferino
author_role author
author2 Scenna, Nicolas Jose
Aguirre, Pio Antonio
Mussati, Miguel Ceferino
author2_role author
author
author
dc.subject.none.fl_str_mv Hydrodinamycs
Bioreactors
topic Hydrodinamycs
Bioreactors
purl_subject.fl_str_mv https://purl.org/becyt/ford/2.4
https://purl.org/becyt/ford/2
dc.description.none.fl_txt_mv The main purpose of this paper is to analyze the adequacy of some hypotheses assumed in the literature for modeling mass transfer phenomena and hydrodynamics in bioreactors. Four different hydrodynamic models were investigated to simulate the dynamic behavior of an anaerobic fluidized bed reactor (AFBR). A total developed flow condition and the assumption of an incipient gas phase are some of the evaluated hypotheses. All AFBR models simultaneously compute the dynamics of the phases and their components, including the effect of the biofilm growth in the fluidization characteristics. From a computational point of view, ordinary and partial differential equation-based models were calculated using gPROMS (Process System Enterprise Ltd.). Simulations based on a case study were compared. The bioreactor performance was analyzed through the main variable profiles such as phase holdups and bed height, pH, chemical oxygen demand (COD), biofilm concentration and biogas flow rate. In a previous paper [M. Fuentes, M.C. Mussati, N.J. Scenna, P.A. Aguirre, Global modeling and simulation of a three-phase fluidized bed bioreactor, Comput. Chem. Eng., Ms. Ref. No.: 4281, submitted for publication], a heterogeneous model of a three-phase bioreactor system was presented by proposing a one-dimensional (axial) dispersive model. Its results are here used to establish a reference point. For example, the fact of considering a three-phase system with total developed flow (hydrodynamic pseudo-steady state) and complete mixture in all phases causes deviations around 5% in predictions of biofilm concentration, and 0.5% in predictions of liquid and gas phase component concentrations, when compared with results from the phenomenological dispersive model. However, predicted total COD removal efficiency is almost the same for both models. Although the gas holdup is negligible when compared with the liquid and solid ones in anaerobic fluidized bed reactors, results from model simplification assuming an incipient gas phase differ considerably from predictions based on original three-phase modeling.
Fil: Fuentes Mora, Mauren. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Desarrollo y Diseño. Universidad Tecnológica Nacional. Facultad Regional Santa Fe. Instituto de Desarrollo y Diseño; Argentina
Fil: Scenna, Nicolas Jose. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Desarrollo y Diseño. Universidad Tecnológica Nacional. Facultad Regional Santa Fe. Instituto de Desarrollo y Diseño; Argentina
Fil: Aguirre, Pio Antonio. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Desarrollo y Diseño. Universidad Tecnológica Nacional. Facultad Regional Santa Fe. Instituto de Desarrollo y Diseño; Argentina
Fil: Mussati, Miguel Ceferino. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Desarrollo y Diseño. Universidad Tecnológica Nacional. Facultad Regional Santa Fe. Instituto de Desarrollo y Diseño; Argentina
description The main purpose of this paper is to analyze the adequacy of some hypotheses assumed in the literature for modeling mass transfer phenomena and hydrodynamics in bioreactors. Four different hydrodynamic models were investigated to simulate the dynamic behavior of an anaerobic fluidized bed reactor (AFBR). A total developed flow condition and the assumption of an incipient gas phase are some of the evaluated hypotheses. All AFBR models simultaneously compute the dynamics of the phases and their components, including the effect of the biofilm growth in the fluidization characteristics. From a computational point of view, ordinary and partial differential equation-based models were calculated using gPROMS (Process System Enterprise Ltd.). Simulations based on a case study were compared. The bioreactor performance was analyzed through the main variable profiles such as phase holdups and bed height, pH, chemical oxygen demand (COD), biofilm concentration and biogas flow rate. In a previous paper [M. Fuentes, M.C. Mussati, N.J. Scenna, P.A. Aguirre, Global modeling and simulation of a three-phase fluidized bed bioreactor, Comput. Chem. Eng., Ms. Ref. No.: 4281, submitted for publication], a heterogeneous model of a three-phase bioreactor system was presented by proposing a one-dimensional (axial) dispersive model. Its results are here used to establish a reference point. For example, the fact of considering a three-phase system with total developed flow (hydrodynamic pseudo-steady state) and complete mixture in all phases causes deviations around 5% in predictions of biofilm concentration, and 0.5% in predictions of liquid and gas phase component concentrations, when compared with results from the phenomenological dispersive model. However, predicted total COD removal efficiency is almost the same for both models. Although the gas holdup is negligible when compared with the liquid and solid ones in anaerobic fluidized bed reactors, results from model simplification assuming an incipient gas phase differ considerably from predictions based on original three-phase modeling.
publishDate 2008
dc.date.none.fl_str_mv 2008-12
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/11336/83833
Fuentes Mora, Mauren; Scenna, Nicolas Jose; Aguirre, Pio Antonio; Mussati, Miguel Ceferino; Hydrodynamic aspects in anaerobic fluidized bed reactor modeling; Elsevier Science Sa; Chemical Engineering and Processing; 47; 9-10; 12-2008; 1530-1540
0255-2701
CONICET Digital
CONICET
url http://hdl.handle.net/11336/83833
identifier_str_mv Fuentes Mora, Mauren; Scenna, Nicolas Jose; Aguirre, Pio Antonio; Mussati, Miguel Ceferino; Hydrodynamic aspects in anaerobic fluidized bed reactor modeling; Elsevier Science Sa; Chemical Engineering and Processing; 47; 9-10; 12-2008; 1530-1540
0255-2701
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/10.1016/j.cep.2007.07.001
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
application/pdf
application/pdf
dc.publisher.none.fl_str_mv Elsevier Science Sa
publisher.none.fl_str_mv Elsevier Science Sa
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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