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dc.contributor.author
Ramos, Fernando Daniel  
dc.contributor.author
Villar, Marcelo Armando  
dc.contributor.author
Díaz, María Soledad  
dc.date.available
2018-11-14T14:54:59Z  
dc.date.issued
2017-10  
dc.identifier.citation
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  
dc.identifier.issn
1570-7946  
dc.identifier.uri
http://hdl.handle.net/11336/64463  
dc.description.abstract
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.  
dc.format
application/pdf  
dc.language.iso
eng  
dc.publisher
Elsevier Science  
dc.rights
info:eu-repo/semantics/openAccess  
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/  
dc.subject
Minlp  
dc.subject
Modeling  
dc.subject
Optimization  
dc.subject
Phb  
dc.subject.classification
Otras Ingeniería Química  
dc.subject.classification
Ingeniería Química  
dc.subject.classification
INGENIERÍAS Y TECNOLOGÍAS  
dc.title
Optimal Design of Poly (3-hydroxybutyrate) Production using alternative Carbon Sources  
dc.type
info:eu-repo/semantics/article  
dc.type
info:ar-repo/semantics/artículo  
dc.type
info:eu-repo/semantics/publishedVersion  
dc.date.updated
2018-10-22T19:00:47Z  
dc.journal.volume
40  
dc.journal.pagination
877-882  
dc.journal.pais
España  
dc.journal.ciudad
Barcelona  
dc.description.fil
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  
dc.description.fil
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  
dc.description.fil
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  
dc.journal.title
Computer Aided Chemical Engineering  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/https://doi.org/10.1016/B978-0-444-63965-3.50148-3  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/pii/B9780444639653501483