Hydrodynamic optimization of multi-environment reactors for biological nutrient removal: a methodology combining computational fluid dynamics and dimensionless indexes

Multi-environment reactors are an innovative alternative to simplify conventional Biological Nutrient Removal (BNR) treatment trains as they are more compact and can adapt to existing quality requirements. However, maintaining the desired environmental conditions in different zones of the reactor im...

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Autores: Blanco Aguilera, R., López Lara, Javier, Barajas Ojeda, Gabriel, Tejero Monzón, Iñaki, Díez Montero, Rubén|||0000-0001-8435-0195
Tipo de recurso: artículo
Fecha de publicación:2020
País:España
Institución:Universitat Politècnica de Catalunya (UPC)
Repositorio:UPCommons. Portal del coneixement obert de la UPC
Idioma:inglés
OAI Identifier:oai:upcommons.upc.edu:2117/340786
Acceso en línea:https://hdl.handle.net/2117/340786
https://dx.doi.org/10.1016/j.ces.2020.115766
Access Level:acceso abierto
Palabra clave:Computational fluid dynamics
OpenFOAM®
Multi-environment
Dimensional analysis
Optimization
Biological nutrient removal
Dinàmica de fluids computacional
Àrees temàtiques de la UPC::Física::Física de fluids
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spelling Hydrodynamic optimization of multi-environment reactors for biological nutrient removal: a methodology combining computational fluid dynamics and dimensionless indexesBlanco Aguilera, R.López Lara, JavierBarajas Ojeda, GabrielTejero Monzón, IñakiDíez Montero, Rubén|||0000-0001-8435-0195Computational fluid dynamicsOpenFOAM®Computational fluid dynamicsMulti-environmentDimensional analysisOptimizationBiological nutrient removalDinàmica de fluids computacionalÀrees temàtiques de la UPC::Física::Física de fluidsMulti-environment reactors are an innovative alternative to simplify conventional Biological Nutrient Removal (BNR) treatment trains as they are more compact and can adapt to existing quality requirements. However, maintaining the desired environmental conditions in different zones of the reactor implies the need for deflectors or mixing devices that generate a complex hydrodynamic behaviour. Therefore, to ensure the desired biological efficiency, hydraulic optimization is essential. For that purpose, a hydrodynamic optimization methodology combining Computational Fluid Dynamics (CFD) and dimensional analysis is developed and presented in this work. The methodology is applied to AnoxAn, an anaerobic-anoxic reactor for BNR. The CFD model is constructed using the OpenFOAM® open source toolbox and has been already validated in a previous work by the authors. Different features as hydraulic separation, dead volumes, short-circuiting or mixing performance are evaluated and main results show that configurations of AnoxAn with high slenderness have the most efficient hydrodynamic behaviour.R. Blanco-Aguilera is indebted to the MEC (Ministerio de Educación, Cultura y Deporte, Spain) for the funding provided in the FPU (Formación del Profesorado Universitario) Grant Program (FPU16-05036). We acknowledge Santander Supercomputación support group at the University of Cantabria who provided access to the supercomputer Altamira Supercomputer at the Institute of Physics of Cantabria (IFCA-CSIC), member of the Spanish Supercomputing Network, for performing simulations.Peer Reviewed20202020-10-0120212021-03-02journal articlehttp://purl.org/coar/resource_type/c_6501AMhttp://purl.org/coar/version/c_ab4af688f83e57aainfo:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/2117/340786https://dx.doi.org/10.1016/j.ces.2020.115766reponame:UPCommons. Portal del coneixement obert de la UPCinstname:Universitat Politècnica de Catalunya (UPC)Inglésengopen accesshttp://purl.org/coar/access_right/c_abf2Attribution-NonCommercial-NoDerivatives 4.0 Internationalhttps://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccessoai:upcommons.upc.edu:2117/3407862026-05-27T15:37:01Z
dc.title.none.fl_str_mv Hydrodynamic optimization of multi-environment reactors for biological nutrient removal: a methodology combining computational fluid dynamics and dimensionless indexes
title Hydrodynamic optimization of multi-environment reactors for biological nutrient removal: a methodology combining computational fluid dynamics and dimensionless indexes
spellingShingle Hydrodynamic optimization of multi-environment reactors for biological nutrient removal: a methodology combining computational fluid dynamics and dimensionless indexes
Blanco Aguilera, R.
Computational fluid dynamics
OpenFOAM®
Computational fluid dynamics
Multi-environment
Dimensional analysis
Optimization
Biological nutrient removal
Dinàmica de fluids computacional
Àrees temàtiques de la UPC::Física::Física de fluids
title_short Hydrodynamic optimization of multi-environment reactors for biological nutrient removal: a methodology combining computational fluid dynamics and dimensionless indexes
title_full Hydrodynamic optimization of multi-environment reactors for biological nutrient removal: a methodology combining computational fluid dynamics and dimensionless indexes
title_fullStr Hydrodynamic optimization of multi-environment reactors for biological nutrient removal: a methodology combining computational fluid dynamics and dimensionless indexes
title_full_unstemmed Hydrodynamic optimization of multi-environment reactors for biological nutrient removal: a methodology combining computational fluid dynamics and dimensionless indexes
title_sort Hydrodynamic optimization of multi-environment reactors for biological nutrient removal: a methodology combining computational fluid dynamics and dimensionless indexes
dc.creator.none.fl_str_mv Blanco Aguilera, R.
López Lara, Javier
Barajas Ojeda, Gabriel
Tejero Monzón, Iñaki
Díez Montero, Rubén|||0000-0001-8435-0195
author Blanco Aguilera, R.
author_facet Blanco Aguilera, R.
López Lara, Javier
Barajas Ojeda, Gabriel
Tejero Monzón, Iñaki
Díez Montero, Rubén|||0000-0001-8435-0195
author_role author
author2 López Lara, Javier
Barajas Ojeda, Gabriel
Tejero Monzón, Iñaki
Díez Montero, Rubén|||0000-0001-8435-0195
author2_role author
author
author
author
dc.subject.none.fl_str_mv Computational fluid dynamics
OpenFOAM®
Computational fluid dynamics
Multi-environment
Dimensional analysis
Optimization
Biological nutrient removal
Dinàmica de fluids computacional
Àrees temàtiques de la UPC::Física::Física de fluids
topic Computational fluid dynamics
OpenFOAM®
Computational fluid dynamics
Multi-environment
Dimensional analysis
Optimization
Biological nutrient removal
Dinàmica de fluids computacional
Àrees temàtiques de la UPC::Física::Física de fluids
description Multi-environment reactors are an innovative alternative to simplify conventional Biological Nutrient Removal (BNR) treatment trains as they are more compact and can adapt to existing quality requirements. However, maintaining the desired environmental conditions in different zones of the reactor implies the need for deflectors or mixing devices that generate a complex hydrodynamic behaviour. Therefore, to ensure the desired biological efficiency, hydraulic optimization is essential. For that purpose, a hydrodynamic optimization methodology combining Computational Fluid Dynamics (CFD) and dimensional analysis is developed and presented in this work. The methodology is applied to AnoxAn, an anaerobic-anoxic reactor for BNR. The CFD model is constructed using the OpenFOAM® open source toolbox and has been already validated in a previous work by the authors. Different features as hydraulic separation, dead volumes, short-circuiting or mixing performance are evaluated and main results show that configurations of AnoxAn with high slenderness have the most efficient hydrodynamic behaviour.
publishDate 2020
dc.date.none.fl_str_mv 2020
2020-10-01
2021
2021-03-02
dc.type.none.fl_str_mv journal article
http://purl.org/coar/resource_type/c_6501
AM
http://purl.org/coar/version/c_ab4af688f83e57aa
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://hdl.handle.net/2117/340786
https://dx.doi.org/10.1016/j.ces.2020.115766
url https://hdl.handle.net/2117/340786
https://dx.doi.org/10.1016/j.ces.2020.115766
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
Attribution-NonCommercial-NoDerivatives 4.0 International
https://creativecommons.org/licenses/by-nc-nd/4.0/
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
Attribution-NonCommercial-NoDerivatives 4.0 International
https://creativecommons.org/licenses/by-nc-nd/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:UPCommons. Portal del coneixement obert de la UPC
instname:Universitat Politècnica de Catalunya (UPC)
instname_str Universitat Politècnica de Catalunya (UPC)
reponame_str UPCommons. Portal del coneixement obert de la UPC
collection UPCommons. Portal del coneixement obert de la UPC
repository.name.fl_str_mv
repository.mail.fl_str_mv
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