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dc.contributor.authorPrades Martell, Lledó
dc.contributor.authorDorado, A. D.
dc.contributor.authorCliment, Javier
dc.contributor.authorGuimerà, Xavier
dc.contributor.authorchiva, sergio
dc.contributor.authorGamisans, Xavier
dc.date.accessioned2017-12-13T10:52:22Z
dc.date.available2017-12-13T10:52:22Z
dc.date.issued2017-04-01
dc.identifier.citationPRADES, L., et al. CFD modeling of a fixed-bed biofilm reactor coupling hydrodynamics and biokinetics. Chemical Engineering Journal, 2017, vol. 313, p. 680-692.ca_CA
dc.identifier.issn1385-8947
dc.identifier.urihttp://hdl.handle.net/10234/170805
dc.description.abstractRigorous modeling of transport phenomena is essential to reproduce accurately biofiltration systems performance. In this sense, the aim of this study was to investigate the effect of integrating fluid flow dynamics in the development of these bioreactor models, mimicking their hydrodynamics and behavior in a fixed biofilm reactor. 2D bioreactor models were developed using three, different well-established tools for modeling bioreactors (AQUASIM, MATLAB, and Computational Fluid Dynamics - CFD), considering from ideal flow patterns to more complex fluid dynamics. A detailed comparison was performed among the results, taking into account the simulation of dissolved oxygen profiles in the liquid phase, inside the biofilm and in the boundary layer along a bioreactor. These models were validated by comparing the simulations with direct measurements obtained by means of dissolved oxygen microsensors of high spatial resolution. In all cases, deviations were below 6%, nevertheless CFD predictions obtained the lowest deviations below 3.5%. Thus, these results underline that CFD techniques are appropriate to model more accurately the performance of fixed-bed biofilm reactors, allowing the study in detail of all the hydrodynamics variables involved in the process. In addition, a 3D CFD model, combining hydrodynamics and biological reactions, was developed and solved to simulate local transient flow and dynamic behaviors of oxygen consumption in the bioreactor. The results of CFD simulations were evaluated in order to know the effect of mass transport phenomena (advection and diffusion) by characterizing hydrodynamics and, finally, to predict the oxygen degradation along the bioreactor. (C) 2016 Elsevier B.V. All rights reserved.ca_CA
dc.format.extent13 p.ca_CA
dc.format.mimetypeapplication/pdfca_CA
dc.language.isoengca_CA
dc.publisherElsevierca_CA
dc.relation.isPartOfChemical Engineering Journal, 2017, vol. 313, p. 680-692.ca_CA
dc.rightsCopyright © Elsevier B.V.ca_CA
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/*
dc.subjectCFD modelingca_CA
dc.subjectfixed biofilm reactorca_CA
dc.subjectbiological reactionsca_CA
dc.subjecthydrodynamicsca_CA
dc.subjectdissolved oxygenca_CA
dc.titleCFD modeling of a fixed-bed biofilm reactor coupling hydrodynamics and biokineticsca_CA
dc.typeinfo:eu-repo/semantics/articleca_CA
dc.identifier.doihttps://doi.org/10.1016/j.cej.2016.12.107
dc.relation.projectIDMinisterio de Economia y Competitividad (Spain) / CTQ2015-69802-C2-2-R; Ministerio de Economia y Competitividad (Spain) / ENE2013-48565-C2-2-Pca_CA
dc.rights.accessRightsinfo:eu-repo/semantics/restrictedAccessca_CA
dc.relation.publisherVersionhttp://www.sciencedirect.com/science/article/pii/S1385894716318782ca_CA
dc.contributor.funderLledo Prades gratefully acknowledges a FPI-2013 predoctoral scholarship, and Xavier Guimera also acknowledges a FPI-UPC predoctoral scholarship, from Ministerio de Economia y Competitividad and Universitat Politecnica de Catalunya respectively.ca_CA
dc.type.versioninfo:eu-repo/semantics/publishedVersionca_CA


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