Wastewater stabilisation ponds system: global sensitivity analysis on network design

Autores
Ochoa, María Paz; Estrada, Vanina Gisela; Hoch, Patricia Monica
Año de publicación
2016
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
In this work, a Waste Water Treatment Network (WWTN) consisting of a system of ponds is modelled rigorously, taking into account mass balances for the main groups of bacteria: heterotrophic, autotrophic, fermenting, acetotrophic sulphate reducing and acetotrophic methanogenic bacteria; together with different types of organic load, algae biomass, nutrients and dissolved oxygen methane emissions (Sah et al, 2011).To obtain the optimal configuration, we had first formulated a superstructure embedding these rigorous models as a mixed integer non-linear programming (MINLP) problem, with the objective to synthesise and design the WWTN that minimises the total annual costs, subject to environmental regulations. Then, a global sensitivity analysis (GSA) is performed on this kinetic dynamic model for the obtained optimal configuration of three stabilisation ponds (two aerobic ponds in series followed by a facultative one) to determine the most influential parameters of the model considering the whole range of parameters variation, as well as parameter ranking. GSA is implemented using Sobol?s method (Saltelli et al., 2008), a variance based technique. The technique is implemented within gPROMS platform, a differential algebraic equation oriented environment where stochastic simulations are performed. Temporal profiles for the first order and interactional sensitivity indices are obtained for the main differential and algebraic state variables.Numerical results provide useful information about the complex relationships between technological, economic and environmental variables of the processes in the WWTN design optimisation.
Fil: Ochoa, María Paz. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Bahia Blanca. Planta Piloto de Ingeniería Química (I). Grupo Vinculado al Plapiqui - Investigación y Desarrollo en Tecnología Química; Argentina
Fil: Estrada, Vanina Gisela. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Bahia Blanca. Planta Piloto de Ingeniería Química (I). Grupo Vinculado al Plapiqui - Investigación y Desarrollo en Tecnología Química; Argentina
Fil: Hoch, Patricia Monica. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Bahia Blanca. Planta Piloto de Ingeniería Química (I). Grupo Vinculado al Plapiqui - Investigación y Desarrollo en Tecnología Química; Argentina
Materia
Wastewater Treatment
Gsa
Ponds
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:11336/27074
Acceder
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network_name_str CONICET Digital (CONICET)
spelling Wastewater stabilisation ponds system: global sensitivity analysis on network designOchoa, María PazEstrada, Vanina GiselaHoch, Patricia MonicaWastewater TreatmentGsaPondshttps://purl.org/becyt/ford/2.4https://purl.org/becyt/ford/2In this work, a Waste Water Treatment Network (WWTN) consisting of a system of ponds is modelled rigorously, taking into account mass balances for the main groups of bacteria: heterotrophic, autotrophic, fermenting, acetotrophic sulphate reducing and acetotrophic methanogenic bacteria; together with different types of organic load, algae biomass, nutrients and dissolved oxygen methane emissions (Sah et al, 2011).To obtain the optimal configuration, we had first formulated a superstructure embedding these rigorous models as a mixed integer non-linear programming (MINLP) problem, with the objective to synthesise and design the WWTN that minimises the total annual costs, subject to environmental regulations. Then, a global sensitivity analysis (GSA) is performed on this kinetic dynamic model for the obtained optimal configuration of three stabilisation ponds (two aerobic ponds in series followed by a facultative one) to determine the most influential parameters of the model considering the whole range of parameters variation, as well as parameter ranking. GSA is implemented using Sobol?s method (Saltelli et al., 2008), a variance based technique. The technique is implemented within gPROMS platform, a differential algebraic equation oriented environment where stochastic simulations are performed. Temporal profiles for the first order and interactional sensitivity indices are obtained for the main differential and algebraic state variables.Numerical results provide useful information about the complex relationships between technological, economic and environmental variables of the processes in the WWTN design optimisation.Fil: Ochoa, María Paz. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Bahia Blanca. Planta Piloto de Ingeniería Química (I). Grupo Vinculado al Plapiqui - Investigación y Desarrollo en Tecnología Química; ArgentinaFil: Estrada, Vanina Gisela. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Bahia Blanca. Planta Piloto de Ingeniería Química (I). Grupo Vinculado al Plapiqui - Investigación y Desarrollo en Tecnología Química; ArgentinaFil: Hoch, Patricia Monica. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Bahia Blanca. Planta Piloto de Ingeniería Química (I). Grupo Vinculado al Plapiqui - Investigación y Desarrollo en Tecnología Química; ArgentinaAIDIC - The Italian Association of Chemical Engineering2016-06info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/27074Ochoa, María Paz; Estrada, Vanina Gisela; Hoch, Patricia Monica; Wastewater stabilisation ponds system: global sensitivity analysis on network design; AIDIC - The Italian Association of Chemical Engineering; Chemical Engineering Transactions; 50; 6-2016; 187-192978-88-95608-41-92283-9216CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.3303/CET1650032info:eu-repo/semantics/altIdentifier/url/http://www.aidic.it/cet/16/50/032.pdfinfo:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T10:29:56Zoai:ri.conicet.gov.ar:11336/27074instacron: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 10:29:56.364CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Wastewater stabilisation ponds system: global sensitivity analysis on network design
title Wastewater stabilisation ponds system: global sensitivity analysis on network design
spellingShingle Wastewater stabilisation ponds system: global sensitivity analysis on network design
Ochoa, María Paz
Wastewater Treatment
Gsa
Ponds
title_short Wastewater stabilisation ponds system: global sensitivity analysis on network design
title_full Wastewater stabilisation ponds system: global sensitivity analysis on network design
title_fullStr Wastewater stabilisation ponds system: global sensitivity analysis on network design
title_full_unstemmed Wastewater stabilisation ponds system: global sensitivity analysis on network design
title_sort Wastewater stabilisation ponds system: global sensitivity analysis on network design
dc.creator.none.fl_str_mv Ochoa, María Paz
Estrada, Vanina Gisela
Hoch, Patricia Monica
author Ochoa, María Paz
author_facet Ochoa, María Paz
Estrada, Vanina Gisela
Hoch, Patricia Monica
author_role author
author2 Estrada, Vanina Gisela
Hoch, Patricia Monica
author2_role author
author
dc.subject.none.fl_str_mv Wastewater Treatment
Gsa
Ponds
topic Wastewater Treatment
Gsa
Ponds
purl_subject.fl_str_mv https://purl.org/becyt/ford/2.4
https://purl.org/becyt/ford/2
dc.description.none.fl_txt_mv In this work, a Waste Water Treatment Network (WWTN) consisting of a system of ponds is modelled rigorously, taking into account mass balances for the main groups of bacteria: heterotrophic, autotrophic, fermenting, acetotrophic sulphate reducing and acetotrophic methanogenic bacteria; together with different types of organic load, algae biomass, nutrients and dissolved oxygen methane emissions (Sah et al, 2011).To obtain the optimal configuration, we had first formulated a superstructure embedding these rigorous models as a mixed integer non-linear programming (MINLP) problem, with the objective to synthesise and design the WWTN that minimises the total annual costs, subject to environmental regulations. Then, a global sensitivity analysis (GSA) is performed on this kinetic dynamic model for the obtained optimal configuration of three stabilisation ponds (two aerobic ponds in series followed by a facultative one) to determine the most influential parameters of the model considering the whole range of parameters variation, as well as parameter ranking. GSA is implemented using Sobol?s method (Saltelli et al., 2008), a variance based technique. The technique is implemented within gPROMS platform, a differential algebraic equation oriented environment where stochastic simulations are performed. Temporal profiles for the first order and interactional sensitivity indices are obtained for the main differential and algebraic state variables.Numerical results provide useful information about the complex relationships between technological, economic and environmental variables of the processes in the WWTN design optimisation.
Fil: Ochoa, María Paz. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Bahia Blanca. Planta Piloto de Ingeniería Química (I). Grupo Vinculado al Plapiqui - Investigación y Desarrollo en Tecnología Química; Argentina
Fil: Estrada, Vanina Gisela. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Bahia Blanca. Planta Piloto de Ingeniería Química (I). Grupo Vinculado al Plapiqui - Investigación y Desarrollo en Tecnología Química; Argentina
Fil: Hoch, Patricia Monica. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Bahia Blanca. Planta Piloto de Ingeniería Química (I). Grupo Vinculado al Plapiqui - Investigación y Desarrollo en Tecnología Química; Argentina
description In this work, a Waste Water Treatment Network (WWTN) consisting of a system of ponds is modelled rigorously, taking into account mass balances for the main groups of bacteria: heterotrophic, autotrophic, fermenting, acetotrophic sulphate reducing and acetotrophic methanogenic bacteria; together with different types of organic load, algae biomass, nutrients and dissolved oxygen methane emissions (Sah et al, 2011).To obtain the optimal configuration, we had first formulated a superstructure embedding these rigorous models as a mixed integer non-linear programming (MINLP) problem, with the objective to synthesise and design the WWTN that minimises the total annual costs, subject to environmental regulations. Then, a global sensitivity analysis (GSA) is performed on this kinetic dynamic model for the obtained optimal configuration of three stabilisation ponds (two aerobic ponds in series followed by a facultative one) to determine the most influential parameters of the model considering the whole range of parameters variation, as well as parameter ranking. GSA is implemented using Sobol?s method (Saltelli et al., 2008), a variance based technique. The technique is implemented within gPROMS platform, a differential algebraic equation oriented environment where stochastic simulations are performed. Temporal profiles for the first order and interactional sensitivity indices are obtained for the main differential and algebraic state variables.Numerical results provide useful information about the complex relationships between technological, economic and environmental variables of the processes in the WWTN design optimisation.
publishDate 2016
dc.date.none.fl_str_mv 2016-06
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/11336/27074
Ochoa, María Paz; Estrada, Vanina Gisela; Hoch, Patricia Monica; Wastewater stabilisation ponds system: global sensitivity analysis on network design; AIDIC - The Italian Association of Chemical Engineering; Chemical Engineering Transactions; 50; 6-2016; 187-192
978-88-95608-41-9
2283-9216
CONICET Digital
CONICET
url http://hdl.handle.net/11336/27074
identifier_str_mv Ochoa, María Paz; Estrada, Vanina Gisela; Hoch, Patricia Monica; Wastewater stabilisation ponds system: global sensitivity analysis on network design; AIDIC - The Italian Association of Chemical Engineering; Chemical Engineering Transactions; 50; 6-2016; 187-192
978-88-95608-41-9
2283-9216
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/10.3303/CET1650032
info:eu-repo/semantics/altIdentifier/url/http://www.aidic.it/cet/16/50/032.pdf
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
dc.publisher.none.fl_str_mv AIDIC - The Italian Association of Chemical Engineering
publisher.none.fl_str_mv AIDIC - The Italian Association of Chemical Engineering
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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score 13.070432

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