Les Inscriptions à la Bibliothèque sont ouvertes en
ligne via le site: https://biblio.enp.edu.dz
Les Réinscriptions se font à :
• La Bibliothèque Annexe pour les étudiants en
2ème Année CPST
• La Bibliothèque Centrale pour les étudiants en Spécialités
A partir de cette page vous pouvez :
Retourner au premier écran avec les recherches... |
Détail de l'auteur
Auteur Sergio F. Mussati
Documents disponibles écrits par cet auteur
Affiner la rechercheNLP model-based optimal design of LiBr–H2O absorption refrigeration systems / María S. Mazzei in International journal of refrigeration, Vol. 38 (Février 2014)
[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