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Multiobjective optimization of a porous ceramic membrane reactor for oxidative coupling of methane / Mohammad R. Quddus in Industrial & engineering chemistry research, Vol. 49 N° 14 (Juillet 2010) 

Public ISBD [article]  in Industrial & engineering chemistry research > Vol. 49 N° 14 (Juillet 2010) . - pp. 6469–6481 Titre : Multiobjective optimization of a porous ceramic membrane reactor for oxidative coupling of methane Type de document : texte imprimé Auteurs : Mohammad R. Quddus, Auteur ; Yan Zhang, Auteur ; Ajay K. Ray, Auteur Année de publication : 2010 Article en page(s) : pp. 6469–6481 Note générale : Industrial chemistry Langues : Anglais (eng) Mots-clés : Optimization  Porous  ceramic  membrane Résumé : Multiobjective optimization of a porous ceramic membrane reactor for oxidative coupling of methane has been studied with the elitist nondominated sorting genetic algorithm with jumping genes (NSGA-II-aJG). A mathematical model was first developed and “tuned” using some experimental results available in the literature. A parametric sensitivity analysis was carried out on the experimentally verified model to systematically investigate the effects of the process parameters on the performance of the membrane reactor. Several two objective optimization problems were performed at both operating and design stages using NSGA-II-aJG. Significant performance improvement in terms of C2 yield and selectivity could be achieved when rigorous optimization was performed. ISSN : 0888-5885 En ligne : http://pubs.acs.org/doi/abs/10.1021/ie900971p [article] Multiobjective optimization of a porous ceramic membrane reactor for oxidative coupling of methane [texte imprimé] / Mohammad R. Quddus, Auteur ; Yan Zhang, Auteur ; Ajay K. Ray, Auteur . - 2010 . - pp. 6469–6481. Industrial chemistry Langues : Anglais (eng) in Industrial & engineering chemistry research > Vol. 49 N° 14 (Juillet 2010) . - pp. 6469–6481 Mots-clés : Optimization  Porous  ceramic  membrane Résumé : Multiobjective optimization of a porous ceramic membrane reactor for oxidative coupling of methane has been studied with the elitist nondominated sorting genetic algorithm with jumping genes (NSGA-II-aJG). A mathematical model was first developed and “tuned” using some experimental results available in the literature. A parametric sensitivity analysis was carried out on the experimentally verified model to systematically investigate the effects of the process parameters on the performance of the membrane reactor. Several two objective optimization problems were performed at both operating and design stages using NSGA-II-aJG. Significant performance improvement in terms of C2 yield and selectivity could be achieved when rigorous optimization was performed. ISSN : 0888-5885 En ligne : http://pubs.acs.org/doi/abs/10.1021/ie900971p