Optimal Design of Poly (3-hydroxybutyrate) Production using alternative Carbon Sources

Autores
Ramos, Fernando Daniel; Villar, Marcelo Armando; Díaz, María Soledad
Año de publicación
2017
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
In this work, we propose a mixed integer nonlinear programming (MINLP) model to determine the optimal flowsheet and raw material for the production of poly (3-hydroxybutyrate) (PHB) from different carbon sources, namely, crude glycerol (with the possibility to be purified), cassava starch and sugarcane. The objective function is Net Present Value. Model equality constraints include mass and energy balances, and detailed capital cost for process equipment; while inequality constraints include product specifications and operating bounds on process units. The resulting MINLP model has 3167 continuous variables, 13 discrete variables and 3079 constraints. The proposed model constitutes a powerful tool to shortlist PHB production pathways with higher economic potential looking forward to the improvement of biopolymer production using alternative carbon sources and process schemes.
Fil: Ramos, Fernando Daniel. 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: Villar, Marcelo Armando. 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
Materia
Minlp
Modeling
Optimization
Phb
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:11336/64463
Acceder
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network_name_str CONICET Digital (CONICET)
spelling Optimal Design of Poly (3-hydroxybutyrate) Production using alternative Carbon SourcesRamos, Fernando DanielVillar, Marcelo ArmandoDíaz, María SoledadMinlpModelingOptimizationPhbhttps://purl.org/becyt/ford/2.4https://purl.org/becyt/ford/2In this work, we propose a mixed integer nonlinear programming (MINLP) model to determine the optimal flowsheet and raw material for the production of poly (3-hydroxybutyrate) (PHB) from different carbon sources, namely, crude glycerol (with the possibility to be purified), cassava starch and sugarcane. The objective function is Net Present Value. Model equality constraints include mass and energy balances, and detailed capital cost for process equipment; while inequality constraints include product specifications and operating bounds on process units. The resulting MINLP model has 3167 continuous variables, 13 discrete variables and 3079 constraints. The proposed model constitutes a powerful tool to shortlist PHB production pathways with higher economic potential looking forward to the improvement of biopolymer production using alternative carbon sources and process schemes.Fil: Ramos, Fernando Daniel. 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: Villar, Marcelo Armando. 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; ArgentinaElsevier Science2017-10info: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/11336/64463Ramos, Fernando Daniel; Villar, Marcelo Armando; Díaz, María Soledad; Optimal Design of Poly (3-hydroxybutyrate) Production using alternative Carbon Sources; Elsevier Science; Computer Aided Chemical Engineering; 40; 10-2017; 877-8821570-7946CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.1016/B978-0-444-63965-3.50148-3info:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/pii/B9780444639653501483info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T09:57:42Zoai:ri.conicet.gov.ar:11336/64463instacron: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 09:57:42.74CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Optimal Design of Poly (3-hydroxybutyrate) Production using alternative Carbon Sources
title Optimal Design of Poly (3-hydroxybutyrate) Production using alternative Carbon Sources
spellingShingle Optimal Design of Poly (3-hydroxybutyrate) Production using alternative Carbon Sources
Ramos, Fernando Daniel
Minlp
Modeling
Optimization
Phb
title_short Optimal Design of Poly (3-hydroxybutyrate) Production using alternative Carbon Sources
title_full Optimal Design of Poly (3-hydroxybutyrate) Production using alternative Carbon Sources
title_fullStr Optimal Design of Poly (3-hydroxybutyrate) Production using alternative Carbon Sources
title_full_unstemmed Optimal Design of Poly (3-hydroxybutyrate) Production using alternative Carbon Sources
title_sort Optimal Design of Poly (3-hydroxybutyrate) Production using alternative Carbon Sources
dc.creator.none.fl_str_mv Ramos, Fernando Daniel
Villar, Marcelo Armando
Díaz, María Soledad
author Ramos, Fernando Daniel
author_facet Ramos, Fernando Daniel
Villar, Marcelo Armando
Díaz, María Soledad
author_role author
author2 Villar, Marcelo Armando
Díaz, María Soledad
author2_role author
author
dc.subject.none.fl_str_mv Minlp
Modeling
Optimization
Phb
topic Minlp
Modeling
Optimization
Phb
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 propose a mixed integer nonlinear programming (MINLP) model to determine the optimal flowsheet and raw material for the production of poly (3-hydroxybutyrate) (PHB) from different carbon sources, namely, crude glycerol (with the possibility to be purified), cassava starch and sugarcane. The objective function is Net Present Value. Model equality constraints include mass and energy balances, and detailed capital cost for process equipment; while inequality constraints include product specifications and operating bounds on process units. The resulting MINLP model has 3167 continuous variables, 13 discrete variables and 3079 constraints. The proposed model constitutes a powerful tool to shortlist PHB production pathways with higher economic potential looking forward to the improvement of biopolymer production using alternative carbon sources and process schemes.
Fil: Ramos, Fernando Daniel. 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: Villar, Marcelo Armando. 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
description In this work, we propose a mixed integer nonlinear programming (MINLP) model to determine the optimal flowsheet and raw material for the production of poly (3-hydroxybutyrate) (PHB) from different carbon sources, namely, crude glycerol (with the possibility to be purified), cassava starch and sugarcane. The objective function is Net Present Value. Model equality constraints include mass and energy balances, and detailed capital cost for process equipment; while inequality constraints include product specifications and operating bounds on process units. The resulting MINLP model has 3167 continuous variables, 13 discrete variables and 3079 constraints. The proposed model constitutes a powerful tool to shortlist PHB production pathways with higher economic potential looking forward to the improvement of biopolymer production using alternative carbon sources and process schemes.
publishDate 2017
dc.date.none.fl_str_mv 2017-10
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/11336/64463
Ramos, Fernando Daniel; Villar, Marcelo Armando; Díaz, María Soledad; Optimal Design of Poly (3-hydroxybutyrate) Production using alternative Carbon Sources; Elsevier Science; Computer Aided Chemical Engineering; 40; 10-2017; 877-882
1570-7946
CONICET Digital
CONICET
url http://hdl.handle.net/11336/64463
identifier_str_mv Ramos, Fernando Daniel; Villar, Marcelo Armando; Díaz, María Soledad; Optimal Design of Poly (3-hydroxybutyrate) Production using alternative Carbon Sources; Elsevier Science; Computer Aided Chemical Engineering; 40; 10-2017; 877-882
1570-7946
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/10.1016/B978-0-444-63965-3.50148-3
info:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/pii/B9780444639653501483
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 Elsevier Science
publisher.none.fl_str_mv Elsevier Science
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 13.069144

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