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dc.contributor.authorCliment, Javier
dc.contributor.authorBasiero, L.
dc.contributor.authorMartinez Cuenca, Raul
dc.contributor.authorBerlanga Clavijo, José Guillermo
dc.contributor.authorJulian-Lopez, Beatriz
dc.contributor.authorchiva, sergio
dc.date.accessioned2018-09-19T10:53:40Z
dc.date.available2018-09-19T10:53:40Z
dc.date.issued2018-09-15
dc.identifier.citationCLIMENT, J., et al. Biological reactor retrofitting using CFD-ASM modelling. Chemical Engineering Journal, 2018, vol. 348, p. 1-14.ca_CA
dc.identifier.issn1385-8947
dc.identifier.issn1873-3212
dc.identifier.urihttp://hdl.handle.net/10234/176154
dc.description.abstractIn recent years, the interest in modelling activated sludge (AS) systems by means of Computational Fluid Dynamics (CFD) techniques has significantly increased. This work shows a successful case study combining CFD hydrodynamics and biokinetic modelling. The hydrodynamics is analysed by using the Reynolds-averaged Navier-Stokes equation for incompressible non-Newtonian fluids and SST turbulence model. Biokinetics has been included in the CFD as transport equations with source and sink terms defined by the Activated Sludge Model n degrees 1 (ASM1). Furthermore, a strategy for reducing the computational cost while maintaining accuracy of the results of these calculations has been proposed. This strategy is based on a two-step solver configuration and the definition of a variable timestep scheme. The resulting CFD-ASM approach permits a proper evaluation of denitrification in the anoxic tanks as well as the reproduction of nitrate and readily biodegradable substrate distributions. To demonstrate the strength of the proposed CFD-ASM, it has been used to evaluate the operation of a full-scale AS system and optimize its performance through changes in the biological reactor anoxic zone. The original configuration has been retrofitted and modified after detecting intrinsic defects in the fluid behaviour within the tank. This study has been assessed by analysing hydrodynamics in detail and validating the simulation results with tracer tests and flow velocity measurements. Substantial variations on the Residence Time Distribution have been confirmed when modifying the internal elements of the tank configuration: the wall-bushing and the stirrer positioning. As a result of this work, an influential short circuiting was corrected improving hydrodynamics and increasing mean residence time, all favouring denitrification efficiency. Outcomes of this study show the benefit of CFD when applied to AS tanks.ca_CA
dc.format.extent14 p.ca_CA
dc.format.mimetypeapplication/pdfca_CA
dc.language.isoengca_CA
dc.publisherElsevierca_CA
dc.relation.isPartOfChemical Engineering Journal, 2018, vol. 348ca_CA
dc.rights© Elsevier B.V.ca_CA
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/*
dc.subjectCFDca_CA
dc.subjectASM1ca_CA
dc.subjectdenitrificationca_CA
dc.subjectRTDca_CA
dc.subjectanoxicca_CA
dc.subjectfull-scaleca_CA
dc.titleBiological reactor retrofitting using CFD-ASM modellingca_CA
dc.typeinfo:eu-repo/semantics/articleca_CA
dc.identifier.doihttps://doi.org/10.1016/j.cej.2018.04.058
dc.rights.accessRightsinfo:eu-repo/semantics/openAccessca_CA
dc.relation.publisherVersionhttps://www.sciencedirect.com/science/article/pii/S1385894718306247ca_CA
dc.contributor.funderThe authors would like to gratefully acknowledge the support provided by Entidad Publica de Saneamiento de Aguas Residuales (EPSAR).ca_CA
dc.type.versioninfo:eu-repo/semantics/submittedVersionca_CA


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