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
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/237011
Ver los metadatos del registro completo
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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 Técnicas2025-09-03T10:04:09Zoai: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:34982025-09-03 10:04:10.139CONICET 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 |
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https://creativecommons.org/licenses/by-nc-sa/2.5/ar/ |
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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 |
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CONICET Digital (CONICET) |
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Consejo Nacional de Investigaciones Científicas y Técnicas |
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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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