Multi-Objective Optimisation in a Petrochemical Complex with LCA considerations

Autores
Gonzalez Castaño, Fabio Antonio; Bandoni, Jose Alberto; Díaz, María Soledad
Año de publicación
2018
Idioma
inglés
Tipo de recurso
documento de conferencia
Estado
versión publicada
Descripción
In this work, we address the optimization of an entire petrochemical complex using economic and environmental criteria. The site mathematical model includes linear and non-linear simplified models for single plants to calculate site production, taking into account main operating variables, intermittent deliveries and inventory variable profiles. The environmental objective is measured with the global warming potential (GWP) and ReCiPe metrics according to the life cycle assessment procedures using indicators at two levels: eighteen midpoint indicators and three endpoint indicators realised in SimaPro (Pre-Consultants, 2015).The resulting mixed integer nonlinear programming (MINLP) models are implemented in GAMS. The bi-criteria MINLP model is solved with the εconstraint method. Mid-point indicators are presented for current conditions. Numerical results show that the petrochemical complex can satisfy product demands while improving the environmental performance by decreasing greenhouse gases emissions in 33 %, from 1,042 to 695.33 kt CO2-eq/year in the case of GWP minimization.
Fil: Gonzalez Castaño, Fabio Antonio. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Planta Piloto de Ingeniería Química. Universidad Nacional del Sur. Planta Piloto de Ingeniería Química; Argentina
Fil: Bandoni, Jose Alberto. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Planta Piloto de Ingeniería Química. Universidad Nacional del Sur. Planta Piloto de Ingeniería Química; Argentina
Fil: Díaz, María Soledad. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Planta Piloto de Ingeniería Química. Universidad Nacional del Sur. Planta Piloto de Ingeniería Química; Argentina
26th European Symposium on Computer Aided Process Engineering
Portoro
Eslovenia
European Society of Computer-Aided Process Engineering
Materia
MULTI-OBJETIVE OPTIMISATION
LIFE CYCLE ASSESSMENT
PETROCHEMICAL COMPLEX
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:11336/237011
Acceder
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oai_identifier_str oai:ri.conicet.gov.ar:11336/237011
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Multi-Objective Optimisation in a Petrochemical Complex with LCA considerationsGonzalez Castaño, Fabio AntonioBandoni, Jose AlbertoDíaz, María SoledadMULTI-OBJETIVE OPTIMISATIONLIFE CYCLE ASSESSMENTPETROCHEMICAL COMPLEXhttps://purl.org/becyt/ford/2.4https://purl.org/becyt/ford/2In this work, we address the optimization of an entire petrochemical complex using economic and environmental criteria. The site mathematical model includes linear and non-linear simplified models for single plants to calculate site production, taking into account main operating variables, intermittent deliveries and inventory variable profiles. The environmental objective is measured with the global warming potential (GWP) and ReCiPe metrics according to the life cycle assessment procedures using indicators at two levels: eighteen midpoint indicators and three endpoint indicators realised in SimaPro (Pre-Consultants, 2015).The resulting mixed integer nonlinear programming (MINLP) models are implemented in GAMS. The bi-criteria MINLP model is solved with the εconstraint method. Mid-point indicators are presented for current conditions. Numerical results show that the petrochemical complex can satisfy product demands while improving the environmental performance by decreasing greenhouse gases emissions in 33 %, from 1,042 to 695.33 kt CO2-eq/year in the case of GWP minimization.Fil: Gonzalez Castaño, Fabio Antonio. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Planta Piloto de Ingeniería Química. Universidad Nacional del Sur. Planta Piloto de Ingeniería Química; ArgentinaFil: Bandoni, Jose Alberto. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Planta Piloto de Ingeniería Química. Universidad Nacional del Sur. Planta Piloto de Ingeniería Química; ArgentinaFil: Díaz, María Soledad. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Planta Piloto de Ingeniería Química. Universidad Nacional del Sur. Planta Piloto de Ingeniería Química; Argentina26th European Symposium on Computer Aided Process EngineeringPortoroEsloveniaEuropean Society of Computer-Aided Process EngineeringElsevier2018info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObjectCongresoBookhttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/237011Multi-Objective Optimisation in a Petrochemical Complex with LCA considerations; 26th European Symposium on Computer Aided Process Engineering; Portoro; Eslovenia; 2016; 1-69780444634283CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/pii/B978044463428350254Xinfo:eu-repo/semantics/altIdentifier/doi/10.1016/B978-0-444-63428-3.50254-XInternacionalinfo:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T10:22:40Zoai:ri.conicet.gov.ar:11336/237011instacron: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 10:22:40.998CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Multi-Objective Optimisation in a Petrochemical Complex with LCA considerations
title Multi-Objective Optimisation in a Petrochemical Complex with LCA considerations
spellingShingle Multi-Objective Optimisation in a Petrochemical Complex with LCA considerations
Gonzalez Castaño, Fabio Antonio
MULTI-OBJETIVE OPTIMISATION
LIFE CYCLE ASSESSMENT
PETROCHEMICAL COMPLEX
title_short Multi-Objective Optimisation in a Petrochemical Complex with LCA considerations
title_full Multi-Objective Optimisation in a Petrochemical Complex with LCA considerations
title_fullStr Multi-Objective Optimisation in a Petrochemical Complex with LCA considerations
title_full_unstemmed Multi-Objective Optimisation in a Petrochemical Complex with LCA considerations
title_sort Multi-Objective Optimisation in a Petrochemical Complex with LCA considerations
dc.creator.none.fl_str_mv Gonzalez Castaño, Fabio Antonio
Bandoni, Jose Alberto
Díaz, María Soledad
author Gonzalez Castaño, Fabio Antonio
author_facet Gonzalez Castaño, Fabio Antonio
Bandoni, Jose Alberto
Díaz, María Soledad
author_role author
author2 Bandoni, Jose Alberto
Díaz, María Soledad
author2_role author
author
dc.subject.none.fl_str_mv MULTI-OBJETIVE OPTIMISATION
LIFE CYCLE ASSESSMENT
PETROCHEMICAL COMPLEX
topic MULTI-OBJETIVE OPTIMISATION
LIFE CYCLE ASSESSMENT
PETROCHEMICAL COMPLEX
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, we address the optimization of an entire petrochemical complex using economic and environmental criteria. The site mathematical model includes linear and non-linear simplified models for single plants to calculate site production, taking into account main operating variables, intermittent deliveries and inventory variable profiles. The environmental objective is measured with the global warming potential (GWP) and ReCiPe metrics according to the life cycle assessment procedures using indicators at two levels: eighteen midpoint indicators and three endpoint indicators realised in SimaPro (Pre-Consultants, 2015).The resulting mixed integer nonlinear programming (MINLP) models are implemented in GAMS. The bi-criteria MINLP model is solved with the εconstraint method. Mid-point indicators are presented for current conditions. Numerical results show that the petrochemical complex can satisfy product demands while improving the environmental performance by decreasing greenhouse gases emissions in 33 %, from 1,042 to 695.33 kt CO2-eq/year in the case of GWP minimization.
Fil: Gonzalez Castaño, Fabio Antonio. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Planta Piloto de Ingeniería Química. Universidad Nacional del Sur. Planta Piloto de Ingeniería Química; Argentina
Fil: Bandoni, Jose Alberto. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Planta Piloto de Ingeniería Química. Universidad Nacional del Sur. Planta Piloto de Ingeniería Química; Argentina
Fil: Díaz, María Soledad. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Planta Piloto de Ingeniería Química. Universidad Nacional del Sur. Planta Piloto de Ingeniería Química; Argentina
26th European Symposium on Computer Aided Process Engineering
Portoro
Eslovenia
European Society of Computer-Aided Process Engineering
description In this work, we address the optimization of an entire petrochemical complex using economic and environmental criteria. The site mathematical model includes linear and non-linear simplified models for single plants to calculate site production, taking into account main operating variables, intermittent deliveries and inventory variable profiles. The environmental objective is measured with the global warming potential (GWP) and ReCiPe metrics according to the life cycle assessment procedures using indicators at two levels: eighteen midpoint indicators and three endpoint indicators realised in SimaPro (Pre-Consultants, 2015).The resulting mixed integer nonlinear programming (MINLP) models are implemented in GAMS. The bi-criteria MINLP model is solved with the εconstraint method. Mid-point indicators are presented for current conditions. Numerical results show that the petrochemical complex can satisfy product demands while improving the environmental performance by decreasing greenhouse gases emissions in 33 %, from 1,042 to 695.33 kt CO2-eq/year in the case of GWP minimization.
publishDate 2018
dc.date.none.fl_str_mv 2018
dc.type.none.fl_str_mv info:eu-repo/semantics/publishedVersion
info:eu-repo/semantics/conferenceObject
Congreso
Book
http://purl.org/coar/resource_type/c_5794
info:ar-repo/semantics/documentoDeConferencia
status_str publishedVersion
format conferenceObject
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/237011
Multi-Objective Optimisation in a Petrochemical Complex with LCA considerations; 26th European Symposium on Computer Aided Process Engineering; Portoro; Eslovenia; 2016; 1-6
9780444634283
CONICET Digital
CONICET
url http://hdl.handle.net/11336/237011
identifier_str_mv Multi-Objective Optimisation in a Petrochemical Complex with LCA considerations; 26th European Symposium on Computer Aided Process Engineering; Portoro; Eslovenia; 2016; 1-6
9780444634283
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.sciencedirect.com/science/article/pii/B978044463428350254X
info:eu-repo/semantics/altIdentifier/doi/10.1016/B978-0-444-63428-3.50254-X
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.coverage.none.fl_str_mv Internacional
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
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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