Optimal design of a carbon dioxide separation process with market uncertainty and waste reduction

Autores
Gutierrez, Juan Pablo; Erdmann, Eleonora; Manca, Davide
Año de publicación
2019
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
The aim of this work is to optimize the conceptual design of an amine-based carbon dioxide (CO2) separation process for Enhanced Oil Recovery (EOR). A systematic approach is applied to predict the economic profitability of the system while reducing the environmental impacts. Firstly, we model the process with UniSim and determine the governing degrees of freedom (DoF) through a sensitivity analysis. Then, we proceed with the formulation of the economic problem, where the employment of econometric models allows us to predict the highest dynamic economic potential (DEP). In the second part, we apply the Waste Reduction (WAR) algorithm to quantify the environmental risks of the studied process. This method is based on the minimization of the potential environmental indicator (PEI) by using the generalization of the Waste Reduction algorithm. Results show that the CO2 separation plant is promising in terms of economic revenues. However, the PEI value indicates that the higher the profitability, the larger the environmental risk. The optimal value of the DEP corresponds to 0.0274 kmol/h and 60 ◦C, with a plant capacity according to the mole flow rate of the produced acid gas. In addition, the highest environmental risk is observed at the upper bounds of the DoF.
Fil: Gutierrez, Juan Pablo. Universidad Nacional de Salta. Facultad de Ingeniería; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Salta. Instituto de Investigaciones para la Industria Química. Universidad Nacional de Salta. Facultad de Ingeniería. Instituto de Investigaciones para la Industria Química; Argentina
Fil: Erdmann, Eleonora. Universidad Nacional de Salta. Facultad de Ingeniería; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Salta. Instituto de Investigaciones para la Industria Química. Universidad Nacional de Salta. Facultad de Ingeniería. Instituto de Investigaciones para la Industria Química; Argentina
Fil: Manca, Davide. Politecnico di Milano; Italia
Materia
CARBON DIOXIDE SEPARATION
ECONOMIC UNCERTAINTY
ENVIRONMENTAL IMPACT
MARKET PREDICTION
OPTIMAL CONCEPTUAL DESIGN
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/120480
Acceder
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network_acronym_str CONICETDig
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network_name_str CONICET Digital (CONICET)
spelling Optimal design of a carbon dioxide separation process with market uncertainty and waste reductionGutierrez, Juan PabloErdmann, EleonoraManca, DavideCARBON DIOXIDE SEPARATIONECONOMIC UNCERTAINTYENVIRONMENTAL IMPACTMARKET PREDICTIONOPTIMAL CONCEPTUAL DESIGNhttps://purl.org/becyt/ford/2.4https://purl.org/becyt/ford/2The aim of this work is to optimize the conceptual design of an amine-based carbon dioxide (CO2) separation process for Enhanced Oil Recovery (EOR). A systematic approach is applied to predict the economic profitability of the system while reducing the environmental impacts. Firstly, we model the process with UniSim and determine the governing degrees of freedom (DoF) through a sensitivity analysis. Then, we proceed with the formulation of the economic problem, where the employment of econometric models allows us to predict the highest dynamic economic potential (DEP). In the second part, we apply the Waste Reduction (WAR) algorithm to quantify the environmental risks of the studied process. This method is based on the minimization of the potential environmental indicator (PEI) by using the generalization of the Waste Reduction algorithm. Results show that the CO2 separation plant is promising in terms of economic revenues. However, the PEI value indicates that the higher the profitability, the larger the environmental risk. The optimal value of the DEP corresponds to 0.0274 kmol/h and 60 ◦C, with a plant capacity according to the mole flow rate of the produced acid gas. In addition, the highest environmental risk is observed at the upper bounds of the DoF.Fil: Gutierrez, Juan Pablo. Universidad Nacional de Salta. Facultad de Ingeniería; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Salta. Instituto de Investigaciones para la Industria Química. Universidad Nacional de Salta. Facultad de Ingeniería. Instituto de Investigaciones para la Industria Química; ArgentinaFil: Erdmann, Eleonora. Universidad Nacional de Salta. Facultad de Ingeniería; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Salta. Instituto de Investigaciones para la Industria Química. Universidad Nacional de Salta. Facultad de Ingeniería. Instituto de Investigaciones para la Industria Química; ArgentinaFil: Manca, Davide. Politecnico di Milano; ItaliaMultidisciplinary Digital Publishing Institute2019-06info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/120480Gutierrez, Juan Pablo; Erdmann, Eleonora; Manca, Davide; Optimal design of a carbon dioxide separation process with market uncertainty and waste reduction; Multidisciplinary Digital Publishing Institute; Processes; 7; 6; 6-2019; 1-172227-9717CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.3390/pr7060342info:eu-repo/semantics/altIdentifier/url/https://www.mdpi.com/2227-9717/7/6/342info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-17T10:42:22Zoai:ri.conicet.gov.ar:11336/120480instacron: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:34982025-09-17 10:42:23.263CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Optimal design of a carbon dioxide separation process with market uncertainty and waste reduction
title Optimal design of a carbon dioxide separation process with market uncertainty and waste reduction
spellingShingle Optimal design of a carbon dioxide separation process with market uncertainty and waste reduction
Gutierrez, Juan Pablo
CARBON DIOXIDE SEPARATION
ECONOMIC UNCERTAINTY
ENVIRONMENTAL IMPACT
MARKET PREDICTION
OPTIMAL CONCEPTUAL DESIGN
title_short Optimal design of a carbon dioxide separation process with market uncertainty and waste reduction
title_full Optimal design of a carbon dioxide separation process with market uncertainty and waste reduction
title_fullStr Optimal design of a carbon dioxide separation process with market uncertainty and waste reduction
title_full_unstemmed Optimal design of a carbon dioxide separation process with market uncertainty and waste reduction
title_sort Optimal design of a carbon dioxide separation process with market uncertainty and waste reduction
dc.creator.none.fl_str_mv Gutierrez, Juan Pablo
Erdmann, Eleonora
Manca, Davide
author Gutierrez, Juan Pablo
author_facet Gutierrez, Juan Pablo
Erdmann, Eleonora
Manca, Davide
author_role author
author2 Erdmann, Eleonora
Manca, Davide
author2_role author
author
dc.subject.none.fl_str_mv CARBON DIOXIDE SEPARATION
ECONOMIC UNCERTAINTY
ENVIRONMENTAL IMPACT
MARKET PREDICTION
OPTIMAL CONCEPTUAL DESIGN
topic CARBON DIOXIDE SEPARATION
ECONOMIC UNCERTAINTY
ENVIRONMENTAL IMPACT
MARKET PREDICTION
OPTIMAL CONCEPTUAL DESIGN
purl_subject.fl_str_mv https://purl.org/becyt/ford/2.4
https://purl.org/becyt/ford/2
dc.description.none.fl_txt_mv The aim of this work is to optimize the conceptual design of an amine-based carbon dioxide (CO2) separation process for Enhanced Oil Recovery (EOR). A systematic approach is applied to predict the economic profitability of the system while reducing the environmental impacts. Firstly, we model the process with UniSim and determine the governing degrees of freedom (DoF) through a sensitivity analysis. Then, we proceed with the formulation of the economic problem, where the employment of econometric models allows us to predict the highest dynamic economic potential (DEP). In the second part, we apply the Waste Reduction (WAR) algorithm to quantify the environmental risks of the studied process. This method is based on the minimization of the potential environmental indicator (PEI) by using the generalization of the Waste Reduction algorithm. Results show that the CO2 separation plant is promising in terms of economic revenues. However, the PEI value indicates that the higher the profitability, the larger the environmental risk. The optimal value of the DEP corresponds to 0.0274 kmol/h and 60 ◦C, with a plant capacity according to the mole flow rate of the produced acid gas. In addition, the highest environmental risk is observed at the upper bounds of the DoF.
Fil: Gutierrez, Juan Pablo. Universidad Nacional de Salta. Facultad de Ingeniería; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Salta. Instituto de Investigaciones para la Industria Química. Universidad Nacional de Salta. Facultad de Ingeniería. Instituto de Investigaciones para la Industria Química; Argentina
Fil: Erdmann, Eleonora. Universidad Nacional de Salta. Facultad de Ingeniería; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Salta. Instituto de Investigaciones para la Industria Química. Universidad Nacional de Salta. Facultad de Ingeniería. Instituto de Investigaciones para la Industria Química; Argentina
Fil: Manca, Davide. Politecnico di Milano; Italia
description The aim of this work is to optimize the conceptual design of an amine-based carbon dioxide (CO2) separation process for Enhanced Oil Recovery (EOR). A systematic approach is applied to predict the economic profitability of the system while reducing the environmental impacts. Firstly, we model the process with UniSim and determine the governing degrees of freedom (DoF) through a sensitivity analysis. Then, we proceed with the formulation of the economic problem, where the employment of econometric models allows us to predict the highest dynamic economic potential (DEP). In the second part, we apply the Waste Reduction (WAR) algorithm to quantify the environmental risks of the studied process. This method is based on the minimization of the potential environmental indicator (PEI) by using the generalization of the Waste Reduction algorithm. Results show that the CO2 separation plant is promising in terms of economic revenues. However, the PEI value indicates that the higher the profitability, the larger the environmental risk. The optimal value of the DEP corresponds to 0.0274 kmol/h and 60 ◦C, with a plant capacity according to the mole flow rate of the produced acid gas. In addition, the highest environmental risk is observed at the upper bounds of the DoF.
publishDate 2019
dc.date.none.fl_str_mv 2019-06
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/11336/120480
Gutierrez, Juan Pablo; Erdmann, Eleonora; Manca, Davide; Optimal design of a carbon dioxide separation process with market uncertainty and waste reduction; Multidisciplinary Digital Publishing Institute; Processes; 7; 6; 6-2019; 1-17
2227-9717
CONICET Digital
CONICET
url http://hdl.handle.net/11336/120480
identifier_str_mv Gutierrez, Juan Pablo; Erdmann, Eleonora; Manca, Davide; Optimal design of a carbon dioxide separation process with market uncertainty and waste reduction; Multidisciplinary Digital Publishing Institute; Processes; 7; 6; 6-2019; 1-17
2227-9717
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/10.3390/pr7060342
info:eu-repo/semantics/altIdentifier/url/https://www.mdpi.com/2227-9717/7/6/342
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Multidisciplinary Digital Publishing Institute
publisher.none.fl_str_mv Multidisciplinary Digital Publishing Institute
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 13.001348

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