Documents disponibles écrits par cet auteur

Identifying key life cycle assessment metrics in the multiobjective design of bioethanol supply chains using a rigorous mixed - integer linear programming approach / A. Kostin in Industrial & engineering chemistry research, Vol. 51 N° 14 (Avril 2012) 

Public ISBD [article]  in Industrial & engineering chemistry research > Vol. 51 N° 14 (Avril 2012) . - pp. 5282-5291 Titre : Identifying key life cycle assessment metrics in the multiobjective design of bioethanol supply chains using a rigorous mixed - integer linear programming approach Type de document : texte imprimé Auteurs : A. Kostin, Auteur ; G. Guillen-Gosalbez, Auteur ; F. D. Mele, Auteur Année de publication : 2012 Article en page(s) : pp. 5282-5291 Note générale : Industrial chemistry Langues : Anglais (eng) Mots-clés : Mathematical  programming  Mixed  integer  programming  Linear  programming  Design  Life  cycle  (environment) Résumé : The design of more sustainable bioethanol supply chains (SCs) has recently emerged as an active area of research Most of the approaches presented so far have somehow a limited scope, as they focus on minimizing the emitted greenhouse gases as unique criterion, neglecting the damage caused in other impact categories. In this work, we address the multiobjective design of bioethanol SCs considering several life cycle assessment impacts. To overcome the numerical difficulties of dealing with several objective functions, we investigate the application of a rigorous mixed-integer linear programming-based dimensionality reduction method that minimizes the error of omitting objectives. The usefulness of this approach is tested through its application to the design of a bioethanol/sugar SC in Argentina, in which five environmental objectives are simultaneously optimized along with the net present value. The proposed method makes it possible to reduce the number of environmental indicators, thereby facilitating the calculation and analysis of the Pareto solutions. ISSN : 0888-5885 En ligne : http://cat.inist.fr/?aModele=afficheN&cpsidt=25783437 [article] Identifying key life cycle assessment metrics in the multiobjective design of bioethanol supply chains using a rigorous mixed - integer linear programming approach [texte imprimé] / A. Kostin, Auteur ; G. Guillen-Gosalbez, Auteur ; F. D. Mele, Auteur . - 2012 . - pp. 5282-5291. Industrial chemistry Langues : Anglais (eng) in Industrial & engineering chemistry research > Vol. 51 N° 14 (Avril 2012) . - pp. 5282-5291 Mots-clés : Mathematical  programming  Mixed  integer  programming  Linear  programming  Design  Life  cycle  (environment) Résumé : The design of more sustainable bioethanol supply chains (SCs) has recently emerged as an active area of research Most of the approaches presented so far have somehow a limited scope, as they focus on minimizing the emitted greenhouse gases as unique criterion, neglecting the damage caused in other impact categories. In this work, we address the multiobjective design of bioethanol SCs considering several life cycle assessment impacts. To overcome the numerical difficulties of dealing with several objective functions, we investigate the application of a rigorous mixed-integer linear programming-based dimensionality reduction method that minimizes the error of omitting objectives. The usefulness of this approach is tested through its application to the design of a bioethanol/sugar SC in Argentina, in which five environmental objectives are simultaneously optimized along with the net present value. The proposed method makes it possible to reduce the number of environmental indicators, thereby facilitating the calculation and analysis of the Pareto solutions. ISSN : 0888-5885 En ligne : http://cat.inist.fr/?aModele=afficheN&cpsidt=25783437

A Spatial branch-and-bound framework for the global optimization of kinetic models of metabolic networks / C. Pozo in Industrial & engineering chemistry research, Vol. 50 N° 9 (Mai 2011) 

Public ISBD [article]  in Industrial & engineering chemistry research > Vol. 50 N° 9 (Mai 2011) . - pp. 5225–5238 Titre : A Spatial branch-and-bound framework for the global optimization of kinetic models of metabolic networks Type de document : texte imprimé Auteurs : C. Pozo, Auteur ; G. Guillen-Gosalbez, Auteur ; A. Sorribas, Auteur Année de publication : 2011 Article en page(s) : pp. 5225–5238 Note générale : Chimie industrielle Langues : Anglais (eng) Mots-clés : Optimization  Metabolic  networks Résumé : The identification of the enzymatic profile that achieves a maximal production rate of a given metabolite is an important problem in the biotechnological industry, especially if there is a limit on the number of enzymatic modulations allowed. The intrinsic nonlinear behavior of metabolic processes enforces the use of kinetic models, such as the generalized mass action (GMA) models, giving rise to nonconvex MINLP formulations with multiple local solutions. In this paper, we introduce a customized spatial branch-and-bound strategy devised to solve efficiently these particular problems to global optimality. A tight MILP-based relaxation of the original nonconvex MINLP is constructed by means of supporting hyperplanes and piecewise linear underestimators. The overall solution procedure is expedited through the use of bound tightening techniques and a special type of cutting plane. The capabilities of the proposed strategy are tested through its application to the maximization of the citric acid production in Aspergillus niger. We also provide a numerical comparison of our algorithm with the commercial package BARON and an outer approximation-based method earlier proposed by the authors. DEWEY : 660 ISSN : 0888-5885 En ligne : http://pubs.acs.org/doi/abs/10.1021/ie101368k [article] A Spatial branch-and-bound framework for the global optimization of kinetic models of metabolic networks [texte imprimé] / C. Pozo, Auteur ; G. Guillen-Gosalbez, Auteur ; A. Sorribas, Auteur . - 2011 . - pp. 5225–5238. Chimie industrielle Langues : Anglais (eng) in Industrial & engineering chemistry research > Vol. 50 N° 9 (Mai 2011) . - pp. 5225–5238 Mots-clés : Optimization  Metabolic  networks Résumé : The identification of the enzymatic profile that achieves a maximal production rate of a given metabolite is an important problem in the biotechnological industry, especially if there is a limit on the number of enzymatic modulations allowed. The intrinsic nonlinear behavior of metabolic processes enforces the use of kinetic models, such as the generalized mass action (GMA) models, giving rise to nonconvex MINLP formulations with multiple local solutions. In this paper, we introduce a customized spatial branch-and-bound strategy devised to solve efficiently these particular problems to global optimality. A tight MILP-based relaxation of the original nonconvex MINLP is constructed by means of supporting hyperplanes and piecewise linear underestimators. The overall solution procedure is expedited through the use of bound tightening techniques and a special type of cutting plane. The capabilities of the proposed strategy are tested through its application to the maximization of the citric acid production in Aspergillus niger. We also provide a numerical comparison of our algorithm with the commercial package BARON and an outer approximation-based method earlier proposed by the authors. DEWEY : 660 ISSN : 0888-5885 En ligne : http://pubs.acs.org/doi/abs/10.1021/ie101368k