Cost-performance trade-off analysis of physicochemical phosphorus removal systems for wastewater treatment: A bi-objective optimization approach

Autores
Caro, Florencia Cecilia; Rossit, Diego Gabriel; Santiviago, Claudia; Ferreira, Jimena; Nesmachnow, Sergio
Año de publicación
2025
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
In an increasingly competitive world, industries face growing pressure to improve efficiency while meeting strict environmental and social standards. Wastewater treatment plants (WWTPs) play a key role in reducing the environmental impact of water use across industrial, agricultural, and domestic activities. This study presents a bi-objective optimization framework to support chemical dosing decisions in physicochemical phosphorus removal (PPR) systems. Using an edible-oil WWTP as a case study, two common metal salts (aluminum sulfate and ferric chloride) are compared, considering operational cost and phosphorus removal efficiency as conflicting objectives. Polynomial surrogate models enabled the integration of BioWin PPR models into the optimization problem, and the weighted sum and ε-constraint methods were used to estimate the Pareto fronts, yielding complementary solutions. The proposed framework provides a practical decision-support tool for WWTPs by revealing cost–performance trade-offs. Results show that costs escalate disproportionately: reducing effluent P from 3.0 to 1.0 mg−P/L increased costs by 114% with aluminum sulfate and 355% with ferric chloride. The framework is adaptable to different PPR systems and influent conditions.
Fil: Caro, Florencia Cecilia. Universidad de la República; Uruguay. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Rossit, Diego Gabriel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto de Matemática Bahía Blanca. Universidad Nacional del Sur. Departamento de Matemática. Instituto de Matemática Bahía Blanca; Argentina. Universidad Nacional del Sur. Departamento de Ingeniería; Argentina
Fil: Santiviago, Claudia. Universidad de la República; Uruguay
Fil: Ferreira, Jimena. Universidad de la República; Uruguay
Fil: Nesmachnow, Sergio. Universidad de la República; Uruguay
Materia
BI-OBJECTIVE OPTIMIZATION
PHYSICOCHEMICAL PHOSPHORUS REMOVAL
CHEMICAL COSTS
CHEMICAL DOSING STRATEGIES
WASTEWATER TREATMENT
INDUSTRY 5.0
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:11336/277707
Acceder
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network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Cost-performance trade-off analysis of physicochemical phosphorus removal systems for wastewater treatment: A bi-objective optimization approachCaro, Florencia CeciliaRossit, Diego GabrielSantiviago, ClaudiaFerreira, JimenaNesmachnow, SergioBI-OBJECTIVE OPTIMIZATIONPHYSICOCHEMICAL PHOSPHORUS REMOVALCHEMICAL COSTSCHEMICAL DOSING STRATEGIESWASTEWATER TREATMENTINDUSTRY 5.0https://purl.org/becyt/ford/2.7https://purl.org/becyt/ford/2In an increasingly competitive world, industries face growing pressure to improve efficiency while meeting strict environmental and social standards. Wastewater treatment plants (WWTPs) play a key role in reducing the environmental impact of water use across industrial, agricultural, and domestic activities. This study presents a bi-objective optimization framework to support chemical dosing decisions in physicochemical phosphorus removal (PPR) systems. Using an edible-oil WWTP as a case study, two common metal salts (aluminum sulfate and ferric chloride) are compared, considering operational cost and phosphorus removal efficiency as conflicting objectives. Polynomial surrogate models enabled the integration of BioWin PPR models into the optimization problem, and the weighted sum and ε-constraint methods were used to estimate the Pareto fronts, yielding complementary solutions. The proposed framework provides a practical decision-support tool for WWTPs by revealing cost–performance trade-offs. Results show that costs escalate disproportionately: reducing effluent P from 3.0 to 1.0 mg−P/L increased costs by 114% with aluminum sulfate and 355% with ferric chloride. The framework is adaptable to different PPR systems and influent conditions.Fil: Caro, Florencia Cecilia. Universidad de la República; Uruguay. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Rossit, Diego Gabriel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto de Matemática Bahía Blanca. Universidad Nacional del Sur. Departamento de Matemática. Instituto de Matemática Bahía Blanca; Argentina. Universidad Nacional del Sur. Departamento de Ingeniería; ArgentinaFil: Santiviago, Claudia. Universidad de la República; UruguayFil: Ferreira, Jimena. Universidad de la República; UruguayFil: Nesmachnow, Sergio. Universidad de la República; UruguayAmerican Institute of Mathematical Sciences2025-11info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/277707Caro, Florencia Cecilia; Rossit, Diego Gabriel; Santiviago, Claudia; Ferreira, Jimena; Nesmachnow, Sergio; Cost-performance trade-off analysis of physicochemical phosphorus removal systems for wastewater treatment: A bi-objective optimization approach; American Institute of Mathematical Sciences; Mathematical Biosciences And Engineering; 23; 1; 11-2025; 124-1471547-1063CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://www.aimspress.com/article/doi/10.3934/mbe.2026006info:eu-repo/semantics/altIdentifier/doi/10.3934/mbe.2026006info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-12-23T13:16:08Zoai:ri.conicet.gov.ar:11336/277707instacron: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:34982025-12-23 13:16:09.224CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Cost-performance trade-off analysis of physicochemical phosphorus removal systems for wastewater treatment: A bi-objective optimization approach
title Cost-performance trade-off analysis of physicochemical phosphorus removal systems for wastewater treatment: A bi-objective optimization approach
spellingShingle Cost-performance trade-off analysis of physicochemical phosphorus removal systems for wastewater treatment: A bi-objective optimization approach
Caro, Florencia Cecilia
BI-OBJECTIVE OPTIMIZATION
PHYSICOCHEMICAL PHOSPHORUS REMOVAL
CHEMICAL COSTS
CHEMICAL DOSING STRATEGIES
WASTEWATER TREATMENT
INDUSTRY 5.0
title_short Cost-performance trade-off analysis of physicochemical phosphorus removal systems for wastewater treatment: A bi-objective optimization approach
title_full Cost-performance trade-off analysis of physicochemical phosphorus removal systems for wastewater treatment: A bi-objective optimization approach
title_fullStr Cost-performance trade-off analysis of physicochemical phosphorus removal systems for wastewater treatment: A bi-objective optimization approach
title_full_unstemmed Cost-performance trade-off analysis of physicochemical phosphorus removal systems for wastewater treatment: A bi-objective optimization approach
title_sort Cost-performance trade-off analysis of physicochemical phosphorus removal systems for wastewater treatment: A bi-objective optimization approach
dc.creator.none.fl_str_mv Caro, Florencia Cecilia
Rossit, Diego Gabriel
Santiviago, Claudia
Ferreira, Jimena
Nesmachnow, Sergio
author Caro, Florencia Cecilia
author_facet Caro, Florencia Cecilia
Rossit, Diego Gabriel
Santiviago, Claudia
Ferreira, Jimena
Nesmachnow, Sergio
author_role author
author2 Rossit, Diego Gabriel
Santiviago, Claudia
Ferreira, Jimena
Nesmachnow, Sergio
author2_role author
author
author
author
dc.subject.none.fl_str_mv BI-OBJECTIVE OPTIMIZATION
PHYSICOCHEMICAL PHOSPHORUS REMOVAL
CHEMICAL COSTS
CHEMICAL DOSING STRATEGIES
WASTEWATER TREATMENT
INDUSTRY 5.0
topic BI-OBJECTIVE OPTIMIZATION
PHYSICOCHEMICAL PHOSPHORUS REMOVAL
CHEMICAL COSTS
CHEMICAL DOSING STRATEGIES
WASTEWATER TREATMENT
INDUSTRY 5.0
purl_subject.fl_str_mv https://purl.org/becyt/ford/2.7
https://purl.org/becyt/ford/2
dc.description.none.fl_txt_mv In an increasingly competitive world, industries face growing pressure to improve efficiency while meeting strict environmental and social standards. Wastewater treatment plants (WWTPs) play a key role in reducing the environmental impact of water use across industrial, agricultural, and domestic activities. This study presents a bi-objective optimization framework to support chemical dosing decisions in physicochemical phosphorus removal (PPR) systems. Using an edible-oil WWTP as a case study, two common metal salts (aluminum sulfate and ferric chloride) are compared, considering operational cost and phosphorus removal efficiency as conflicting objectives. Polynomial surrogate models enabled the integration of BioWin PPR models into the optimization problem, and the weighted sum and ε-constraint methods were used to estimate the Pareto fronts, yielding complementary solutions. The proposed framework provides a practical decision-support tool for WWTPs by revealing cost–performance trade-offs. Results show that costs escalate disproportionately: reducing effluent P from 3.0 to 1.0 mg−P/L increased costs by 114% with aluminum sulfate and 355% with ferric chloride. The framework is adaptable to different PPR systems and influent conditions.
Fil: Caro, Florencia Cecilia. Universidad de la República; Uruguay. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Rossit, Diego Gabriel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto de Matemática Bahía Blanca. Universidad Nacional del Sur. Departamento de Matemática. Instituto de Matemática Bahía Blanca; Argentina. Universidad Nacional del Sur. Departamento de Ingeniería; Argentina
Fil: Santiviago, Claudia. Universidad de la República; Uruguay
Fil: Ferreira, Jimena. Universidad de la República; Uruguay
Fil: Nesmachnow, Sergio. Universidad de la República; Uruguay
description In an increasingly competitive world, industries face growing pressure to improve efficiency while meeting strict environmental and social standards. Wastewater treatment plants (WWTPs) play a key role in reducing the environmental impact of water use across industrial, agricultural, and domestic activities. This study presents a bi-objective optimization framework to support chemical dosing decisions in physicochemical phosphorus removal (PPR) systems. Using an edible-oil WWTP as a case study, two common metal salts (aluminum sulfate and ferric chloride) are compared, considering operational cost and phosphorus removal efficiency as conflicting objectives. Polynomial surrogate models enabled the integration of BioWin PPR models into the optimization problem, and the weighted sum and ε-constraint methods were used to estimate the Pareto fronts, yielding complementary solutions. The proposed framework provides a practical decision-support tool for WWTPs by revealing cost–performance trade-offs. Results show that costs escalate disproportionately: reducing effluent P from 3.0 to 1.0 mg−P/L increased costs by 114% with aluminum sulfate and 355% with ferric chloride. The framework is adaptable to different PPR systems and influent conditions.
publishDate 2025
dc.date.none.fl_str_mv 2025-11
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/11336/277707
Caro, Florencia Cecilia; Rossit, Diego Gabriel; Santiviago, Claudia; Ferreira, Jimena; Nesmachnow, Sergio; Cost-performance trade-off analysis of physicochemical phosphorus removal systems for wastewater treatment: A bi-objective optimization approach; American Institute of Mathematical Sciences; Mathematical Biosciences And Engineering; 23; 1; 11-2025; 124-147
1547-1063
CONICET Digital
CONICET
url http://hdl.handle.net/11336/277707
identifier_str_mv Caro, Florencia Cecilia; Rossit, Diego Gabriel; Santiviago, Claudia; Ferreira, Jimena; Nesmachnow, Sergio; Cost-performance trade-off analysis of physicochemical phosphorus removal systems for wastewater treatment: A bi-objective optimization approach; American Institute of Mathematical Sciences; Mathematical Biosciences And Engineering; 23; 1; 11-2025; 124-147
1547-1063
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/https://www.aimspress.com/article/doi/10.3934/mbe.2026006
info:eu-repo/semantics/altIdentifier/doi/10.3934/mbe.2026006
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
dc.publisher.none.fl_str_mv American Institute of Mathematical Sciences
publisher.none.fl_str_mv American Institute of Mathematical Sciences
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 12.952241

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