Cleaner Design of Single-Product Biotechnological Facilities through the Integration of Process Simulation, Multiobjective Optimization, Life Cycle Assessment, and Principal Component Analysis / Robert Brunet in Industrial & engineering chemistry research, Vol. 51 N° 1 (Janvier 2012)  

Public ISBD [article]  inIndustrial & engineering chemistry research > Vol. 51 N° 1 (Janvier 2012) . - pp. 410-424 Titre : Cleaner Design of Single-Product Biotechnological Facilities through the Integration of Process Simulation, Multiobjective Optimization, Life Cycle Assessment, and Principal Component Analysis Type de document : texte imprimé Auteurs : Robert Brunet, Auteur ; Gonzalo Guillen-Gosalbez, Auteur ; Laureano Jiménez, Auteur Année de publication : 2012 Article en page(s) : pp. 410-424 Note générale : Chimie industrielle Langues : Anglais (eng) Mots-clés : Principal component analysis Life cycle (environment) Optimization Design Résumé : Bioprocesses have been typically optimized according to their economic performances. In this work we present a novel framework for their optimal design that allows for the simultaneous consideration of economic and environmental concerns. Our approach relies on the combined use ofsimulation packages, multiobjective optimization (MOO), life cycle assessment (LCA), and principal component analysis (PCA). The capabilities of the proposed methodology are illustrated through its application to the production of the amino acid L-lysine. DEWEY : 660 ISSN : 0888-5885 En ligne : http://cat.inist.fr/?aModele=afficheN&cpsidt=25476485 [article] Cleaner Design of Single-Product Biotechnological Facilities through the Integration of Process Simulation, Multiobjective Optimization, Life Cycle Assessment, and Principal Component Analysis [texte imprimé] / Robert Brunet, Auteur ; Gonzalo Guillen-Gosalbez, Auteur ; Laureano Jiménez, Auteur . - 2012 . - pp. 410-424. Chimie industrielle Langues : Anglais (eng) in Industrial & engineering chemistry research > Vol. 51 N° 1 (Janvier 2012) . - pp. 410-424 Mots-clés : Principal component analysis Life cycle (environment) Optimization Design Résumé : Bioprocesses have been typically optimized according to their economic performances. In this work we present a novel framework for their optimal design that allows for the simultaneous consideration of economic and environmental concerns. Our approach relies on the combined use ofsimulation packages, multiobjective optimization (MOO), life cycle assessment (LCA), and principal component analysis (PCA). The capabilities of the proposed methodology are illustrated through its application to the production of the amino acid L-lysine. DEWEY : 660 ISSN : 0888-5885 En ligne : http://cat.inist.fr/?aModele=afficheN&cpsidt=25476485

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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]  inIndustrial & 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 ; Gonzalo 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 Linear 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 ; Gonzalo 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 Linear 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

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Life Cycle Assessment Coupled with Process der Uncertainty for Reduced Environmental Impact: Application to Phosphoric Acid Production / Aarón David Bojarsk in Industrial & engineering chemistry research, Vol. 47 n°21 (Novembre 2008)  

Public ISBD [article]  inIndustrial & engineering chemistry research > Vol. 47 n°21 (Novembre 2008) . - p. 8286–8300 Titre : Life Cycle Assessment Coupled with Process der Uncertainty for Reduced Environmental Impact: Application to Phosphoric Acid Production Type de document : texte imprimé Auteurs : Aarón David Bojarsk, Auteur ; Gonzalo Guillen-Gosalbez, Auteur ; Laureano Jiménez, Auteur Année de publication : 2008 Article en page(s) : p. 8286–8300 Note générale : Chemical engineering Langues : Anglais (eng) Mots-clés : Phosphoric acid Résumé : One of the most important drawbacks of life cycle assessment (LCA)-related analysis is the generation of reliable data. In the proposed methodology, this drawback is addressed using data from process simulations, based on first-principles models in the LCA calculations. Furthermore, uncertainty that arises from industrial data and a simulation hypothesis are explicitly incorporated, using Monte Carlo sampling, which allows statistical information to be translated into a set of representative scenarios for which the LCA calculations are performed. The combined use of LCA, process simulation, and sampling techniques results in a powerful environmentally conscious quantitative tool whose objective is to guide decision-makers toward the adoption of more-sustainable process alternatives. The main objective of the methodology is to show the main differences between production options. This novel methodology is applied to the specific case of phosphoric acid (PA) production. En ligne : http://pubs.acs.org/doi/abs/10.1021/ie8001149 [article] Life Cycle Assessment Coupled with Process der Uncertainty for Reduced Environmental Impact: Application to Phosphoric Acid Production [texte imprimé] / Aarón David Bojarsk, Auteur ; Gonzalo Guillen-Gosalbez, Auteur ; Laureano Jiménez, Auteur . - 2008 . - p. 8286–8300. Chemical engineering Langues : Anglais (eng) in Industrial & engineering chemistry research > Vol. 47 n°21 (Novembre 2008) . - p. 8286–8300 Mots-clés : Phosphoric acid Résumé : One of the most important drawbacks of life cycle assessment (LCA)-related analysis is the generation of reliable data. In the proposed methodology, this drawback is addressed using data from process simulations, based on first-principles models in the LCA calculations. Furthermore, uncertainty that arises from industrial data and a simulation hypothesis are explicitly incorporated, using Monte Carlo sampling, which allows statistical information to be translated into a set of representative scenarios for which the LCA calculations are performed. The combined use of LCA, process simulation, and sampling techniques results in a powerful environmentally conscious quantitative tool whose objective is to guide decision-makers toward the adoption of more-sustainable process alternatives. The main objective of the methodology is to show the main differences between production options. This novel methodology is applied to the specific case of phosphoric acid (PA) production. En ligne : http://pubs.acs.org/doi/abs/10.1021/ie8001149

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Multiobjective model for more sustainable fuel supply chains. a case study of the sugar cane industry in argentina / Fernando D. Mele in Industrial & engineering chemistry research, Vol. 50 N° 9 (Mai 2011)  

Public ISBD [article]  inIndustrial & engineering chemistry research > Vol. 50 N° 9 (Mai 2011) . - pp. 4939-4958 Titre : Multiobjective model for more sustainable fuel supply chains. a case study of the sugar cane industry in argentina Type de document : texte imprimé Auteurs : Fernando D. Mele, Auteur ; Andrew M. Kostin, Auteur ; Gonzalo Guillen-Gosalbez, Auteur Année de publication : 2011 Article en page(s) : pp. 4939-4958 Note générale : Chimie industrielle Langues : Anglais (eng) Mots-clés : Fuel Modeling Résumé : The objective of this work is to present a quantitative tool to support decision-making in the area of optimal design of supply chains (SC) for the combined production of sugar and ethanol. The problem is formulated as a multiobjective mixed-integer linear program that seeks to optimize simultaneously the economic and environmental performance of the production chain. The advantages of the approach presented are illustrated through its application to a case study, in which a trade-off exists between the economic and environmental performance of the network. Our method provides valuable insight into the problem and a guide to adopt more sustainable strategic alternatives in the design of SCs with embedded biorefineries. DEWEY : 660 ISSN : 0888-5885 En ligne : http://cat.inist.fr/?aModele=afficheN&cpsidt=24128626 [article] Multiobjective model for more sustainable fuel supply chains. a case study of the sugar cane industry in argentina [texte imprimé] / Fernando D. Mele, Auteur ; Andrew M. Kostin, Auteur ; Gonzalo Guillen-Gosalbez, Auteur . - 2011 . - pp. 4939-4958. Chimie industrielle Langues : Anglais (eng) in Industrial & engineering chemistry research > Vol. 50 N° 9 (Mai 2011) . - pp. 4939-4958 Mots-clés : Fuel Modeling Résumé : The objective of this work is to present a quantitative tool to support decision-making in the area of optimal design of supply chains (SC) for the combined production of sugar and ethanol. The problem is formulated as a multiobjective mixed-integer linear program that seeks to optimize simultaneously the economic and environmental performance of the production chain. The advantages of the approach presented are illustrated through its application to a case study, in which a trade-off exists between the economic and environmental performance of the network. Our method provides valuable insight into the problem and a guide to adopt more sustainable strategic alternatives in the design of SCs with embedded biorefineries. DEWEY : 660 ISSN : 0888-5885 En ligne : http://cat.inist.fr/?aModele=afficheN&cpsidt=24128626

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Reducing the environmental impact of biodiesel production from vegetable oil by use of a solar-assisted steam generation system with heat storage / Robert Brunet in Industrial & engineering chemistry research, Vol. 51 N° 51 (Décembre 2012)  

Public ISBD [article]  inIndustrial & engineering chemistry research > Vol. 51 N° 51 (Décembre 2012) . - pp. 16660–16669 Titre : Reducing the environmental impact of biodiesel production from vegetable oil by use of a solar-assisted steam generation system with heat storage Type de document : texte imprimé Auteurs : Robert Brunet, Auteur ; Ekaterina Antipova, Auteur ; Gonzalo Guillen-Gosalbez, Auteur Année de publication : 2012 Article en page(s) : pp. 16660–16669 Note générale : Industrial chemistry Langues : Anglais (eng) Mots-clés : Biodiesel Vegetable oil Résumé : In this work, we address the problem of reducing the environmental impact of biodiesel plants through their integration with a solar thermal energy system that generates steam. A mathematical model of the solar energy system that includes energy storage is constructed and coupled with a rigorous simulation model of the biodiesel facility developed in Aspen Plus. The solar energy system model takes the form of a bicriteria nonlinear programming (biNLP) formulation that accounts for the simultaneous minimization of cost and global warming potential (GWP). A detailed cost and environmental analysis of the integrated facility is presented based on data available in the literature. The environmental impact is quantified in terms of contribution to GWP using the CML2001 methodology, a framework based on life cycle assessment (LCA) principles. Numerical results indicate that it is possible to reduce the current natural gas consumption required in the biodiesel facility by more than 94.87% compared to the initial base design, which results in an improvement of 19.88% in green house gases (GHG) emissions. ISSN : 0888-5885 En ligne : http://pubs.acs.org/doi/abs/10.1021/ie301391h [article] Reducing the environmental impact of biodiesel production from vegetable oil by use of a solar-assisted steam generation system with heat storage [texte imprimé] / Robert Brunet, Auteur ; Ekaterina Antipova, Auteur ; Gonzalo Guillen-Gosalbez, Auteur . - 2012 . - pp. 16660–16669. Industrial chemistry Langues : Anglais (eng) in Industrial & engineering chemistry research > Vol. 51 N° 51 (Décembre 2012) . - pp. 16660–16669 Mots-clés : Biodiesel Vegetable oil Résumé : In this work, we address the problem of reducing the environmental impact of biodiesel plants through their integration with a solar thermal energy system that generates steam. A mathematical model of the solar energy system that includes energy storage is constructed and coupled with a rigorous simulation model of the biodiesel facility developed in Aspen Plus. The solar energy system model takes the form of a bicriteria nonlinear programming (biNLP) formulation that accounts for the simultaneous minimization of cost and global warming potential (GWP). A detailed cost and environmental analysis of the integrated facility is presented based on data available in the literature. The environmental impact is quantified in terms of contribution to GWP using the CML2001 methodology, a framework based on life cycle assessment (LCA) principles. Numerical results indicate that it is possible to reduce the current natural gas consumption required in the biodiesel facility by more than 94.87% compared to the initial base design, which results in an improvement of 19.88% in green house gases (GHG) emissions. ISSN : 0888-5885 En ligne : http://pubs.acs.org/doi/abs/10.1021/ie301391h

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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)  

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