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
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/27074
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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 Técnicas2025-09-03T10:06:24Zoai: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:34982025-09-03 10:06:24.489CONICET 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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1842269957126094848 |
score |
13.13397 |