Documents disponibles écrits par cet auteur

Experimental and theoretical analysis of the alkali impregnation of eucalyptus wood / Maria C. Inalbon in Industrial & engineering chemistry research, Vol. 48 N° 10 (Mai 2009) 

Public ISBD [article]  in Industrial & engineering chemistry research > Vol. 48 N° 10 (Mai 2009) . - pp. 4791–4795 Titre : Experimental and theoretical analysis of the alkali impregnation of eucalyptus wood Type de document : texte imprimé Auteurs : Maria C. Inalbon, Auteur ; Miguel C. Mussati, Auteur ; Miguel A. Zanuttini, Auteur Année de publication : 2009 Article en page(s) : pp. 4791–4795 Note générale : Chemical engineering Langues : Anglais (eng) Mots-clés : Eucalyptus  wood  Impregnation  Alkali  concentration  Dynamic  diffusion  coefficient  Kinetics Résumé : Wood impregnation is crucial in any pulping process. The impregnation of chips of eucalyptus wood by a liquor of constant alkali concentration is here analyzed. A mass balance that considers kinetics of the main reactions and a dynamic diffusion coefficient is applied for the six chemical species analyzed. The diffusion rate is assumed dependent on temperature, alkali concentration, and the advance degree of reactions. The predicted concentration profiles are in acceptable agreement with the experimental results for hidroxyl and sodium ions, as well as for acetyl groups. For each set of impregnation conditions and chip thickness, characteristic impregnation times or impregnation levels can be predicted by the model. En ligne : http://pubs.acs.org/doi/abs/10.1021/ie801685a [article] Experimental and theoretical analysis of the alkali impregnation of eucalyptus wood [texte imprimé] / Maria C. Inalbon, Auteur ; Miguel C. Mussati, Auteur ; Miguel A. Zanuttini, Auteur . - 2009 . - pp. 4791–4795. Chemical engineering Langues : Anglais (eng) in Industrial & engineering chemistry research > Vol. 48 N° 10 (Mai 2009) . - pp. 4791–4795 Mots-clés : Eucalyptus  wood  Impregnation  Alkali  concentration  Dynamic  diffusion  coefficient  Kinetics Résumé : Wood impregnation is crucial in any pulping process. The impregnation of chips of eucalyptus wood by a liquor of constant alkali concentration is here analyzed. A mass balance that considers kinetics of the main reactions and a dynamic diffusion coefficient is applied for the six chemical species analyzed. The diffusion rate is assumed dependent on temperature, alkali concentration, and the advance degree of reactions. The predicted concentration profiles are in acceptable agreement with the experimental results for hidroxyl and sodium ions, as well as for acetyl groups. For each set of impregnation conditions and chip thickness, characteristic impregnation times or impregnation levels can be predicted by the model. En ligne : http://pubs.acs.org/doi/abs/10.1021/ie801685a

NLP model-based optimal design of LiBr–H2O absorption refrigeration systems / María S. Mazzei in International journal of refrigeration, Vol. 38 (Février 2014) 

Public ISBD [article]  in International journal of refrigeration > Vol. 38 (Février 2014) . - pp. 58–70 Titre : NLP model-based optimal design of LiBr–H2O absorption refrigeration systems Titre original : Conception optimale basée sur un modèle PNL (Programmation Non Linéaire) pour des systèmes frigorifiques à absorption de LiBr-H2O Type de document : texte imprimé Auteurs : María S. Mazzei, Auteur ; Miguel C. Mussati, Auteur ; Sergio F. Mussati, Auteur Année de publication : 2014 Article en page(s) : pp. 58–70 Note générale : Refrigeration Langues : Anglais (eng) Mots-clés : LiBr–H2O  absorption  refrigeration  systems;  Optimal  design;  Mathematical  programming Résumé : This paper addresses the optimization of a single effect absorption refrigeration system operating with lithium bromide-water solution. A non-linear programming mathematical model is developed to determine the operating conditions and the distribution of the total heat transfer area (sizes) along the involved process units to optimize the following two objective functions: (i) maximization of the coefficient of performance for a given amount of the total heat transfer area, and (ii) minimization of the total heat transfer area of the system for a given cooling capacity. The proposed model can either be used for simulation or optimization purposes. Simulated or optimized values of temperature, pressure, composition and flow rate of all streams and sizing of each process unit are predicted. In addition, because of the non linear nature of the resulting model, a systematic solution procedure is proposed in order to guarantee the model convergence. A detailed discussion of the optimization results are presented through different case studies. En ligne : http://www.sciencedirect.com/science/article/pii/S0140700713002909 [article] NLP model-based optimal design of LiBr–H2O absorption refrigeration systems = Conception optimale basée sur un modèle PNL (Programmation Non Linéaire) pour des systèmes frigorifiques à absorption de LiBr-H2O [texte imprimé] / María S. Mazzei, Auteur ; Miguel C. Mussati, Auteur ; Sergio F. Mussati, Auteur . - 2014 . - pp. 58–70. Refrigeration Langues : Anglais (eng) in International journal of refrigeration > Vol. 38 (Février 2014) . - pp. 58–70 Mots-clés : LiBr–H2O  absorption  refrigeration  systems;  Optimal  design;  Mathematical  programming Résumé : This paper addresses the optimization of a single effect absorption refrigeration system operating with lithium bromide-water solution. A non-linear programming mathematical model is developed to determine the operating conditions and the distribution of the total heat transfer area (sizes) along the involved process units to optimize the following two objective functions: (i) maximization of the coefficient of performance for a given amount of the total heat transfer area, and (ii) minimization of the total heat transfer area of the system for a given cooling capacity. The proposed model can either be used for simulation or optimization purposes. Simulated or optimized values of temperature, pressure, composition and flow rate of all streams and sizing of each process unit are predicted. In addition, because of the non linear nature of the resulting model, a systematic solution procedure is proposed in order to guarantee the model convergence. A detailed discussion of the optimization results are presented through different case studies. En ligne : http://www.sciencedirect.com/science/article/pii/S0140700713002909

Wastewater treatment plant synthesis and design / Noelia Alasino in Industrial & engineering chemistry research, Vol. 49 N° 18 (Septembre 2010) 

Public ISBD [article]  in Industrial & engineering chemistry research > Vol. 49 N° 18 (Septembre 2010) . - pp. 8601–8612 Titre : Wastewater treatment plant synthesis and design : combined biological nitrogen and phosphorus removal Type de document : texte imprimé Auteurs : Noelia Alasino, Auteur ; Miguel C. Mussati, Auteur ; Nicolas J. Scenna, Auteur Année de publication : 2010 Article en page(s) : pp. 8601–8612 Note générale : Industrial chemistry Langues : Anglais (eng) Mots-clés : Wastewater  treatment Résumé : In the present work, a previous superstructure model developed for simultaneous optimization of the process configuration and equipment dimensions, i.e., optimal process synthesis and design and the operation conditions of activated sludge wastewater treatment plants, is extended to account for phosphorus as well as nitrogen removal. Along the activated sludge treatment process, the wastewater stream is exposed to different environmental conditions (anaerobic, anoxic, and aerated zones) in order to facilitate the different microbiological processes such as the release and uptake of phosphorus and the nitrification/denitrification processes. The Activated Sludge Model No. 3 extended with the Bio-P module for computing biological phosphorus removal is used to model the reaction compartments and the Takàcs model for representing the secondary settler. The performance criterion selected is the minimization of the net present value that includes investment and operating costs while verifying compliance with the effluent permitted limits. The problem is posed as a NLP problem, specifically a nonlinear programming problem with discontinuous derivatives DNLP. The optimization model is implemented and solved using a General Algebraic Modeling System, GAMS. Optimal configurations and designs obtained for several case studies are reported and discussed. The model itself and the resolution methodology prove to be robust and flexible enough to solve efficiently scenarios with a wide range of operation conditions, embedding conventional and nonconventional process configurations. ISSN : 0888-5885 En ligne : http://pubs.acs.org/doi/abs/10.1021/ie1000482 [article] Wastewater treatment plant synthesis and design : combined biological nitrogen and phosphorus removal [texte imprimé] / Noelia Alasino, Auteur ; Miguel C. Mussati, Auteur ; Nicolas J. Scenna, Auteur . - 2010 . - pp. 8601–8612. Industrial chemistry Langues : Anglais (eng) in Industrial & engineering chemistry research > Vol. 49 N° 18 (Septembre 2010) . - pp. 8601–8612 Mots-clés : Wastewater  treatment Résumé : In the present work, a previous superstructure model developed for simultaneous optimization of the process configuration and equipment dimensions, i.e., optimal process synthesis and design and the operation conditions of activated sludge wastewater treatment plants, is extended to account for phosphorus as well as nitrogen removal. Along the activated sludge treatment process, the wastewater stream is exposed to different environmental conditions (anaerobic, anoxic, and aerated zones) in order to facilitate the different microbiological processes such as the release and uptake of phosphorus and the nitrification/denitrification processes. The Activated Sludge Model No. 3 extended with the Bio-P module for computing biological phosphorus removal is used to model the reaction compartments and the Takàcs model for representing the secondary settler. The performance criterion selected is the minimization of the net present value that includes investment and operating costs while verifying compliance with the effluent permitted limits. The problem is posed as a NLP problem, specifically a nonlinear programming problem with discontinuous derivatives DNLP. The optimization model is implemented and solved using a General Algebraic Modeling System, GAMS. Optimal configurations and designs obtained for several case studies are reported and discussed. The model itself and the resolution methodology prove to be robust and flexible enough to solve efficiently scenarios with a wide range of operation conditions, embedding conventional and nonconventional process configurations. ISSN : 0888-5885 En ligne : http://pubs.acs.org/doi/abs/10.1021/ie1000482