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Détail de l'auteur
Auteur Xiuxi Li
Documents disponibles écrits par cet auteur
Affiner la rechercheOptimizing the initial conditions to improve the dynamic flexibility of batch processes / Hua Zhou in Industrial & engineering chemistry research, Vol. 48 N° 13 (Juillet 2009)
[article]
in Industrial & engineering chemistry research > Vol. 48 N° 13 (Juillet 2009) . - pp. 6321–6326
Titre : Optimizing the initial conditions to improve the dynamic flexibility of batch processes Type de document : texte imprimé Auteurs : Hua Zhou, Auteur ; Xiuxi Li, Auteur ; Yu Qian, Auteur Année de publication : 2009 Article en page(s) : pp. 6321–6326 Note générale : Chemical engineering Langues : Anglais (eng) Mots-clés : Initial operation conditions Batch processes Dynamic flexibility analysis Résumé : It is shown in this paper that by changing the initial operation condition of batch processes, the dynamic performance of the system can be varied largely. The initial operation conditions are often ignored in design of batch processes for flexibility against disturbances or parameter variations. When the initial conditions are not rigid, as in the case of a batch reactor where the initial reaction temperature is quite arbitrary, optimization can also be applied to determine the “best” initial condition to be used. Problems for dynamic flexibility analysis, including initial conditions and process operation, can be formulated as dynamic optimization problems. If the initial conditions are considered, the conditions can be transferred into control variables in the first step of optimization. The solution of the dynamic optimization is based on the Runge-Kutta integration algorithm and decomposition search algorithm. This method, as illustrated and tested with two highly nonlinear chemical engineering problems, enables the optimal solution to be determined. En ligne : http://pubs.acs.org/doi/abs/10.1021/ie8006424 [article] Optimizing the initial conditions to improve the dynamic flexibility of batch processes [texte imprimé] / Hua Zhou, Auteur ; Xiuxi Li, Auteur ; Yu Qian, Auteur . - 2009 . - pp. 6321–6326.
Chemical engineering
Langues : Anglais (eng)
in Industrial & engineering chemistry research > Vol. 48 N° 13 (Juillet 2009) . - pp. 6321–6326
Mots-clés : Initial operation conditions Batch processes Dynamic flexibility analysis Résumé : It is shown in this paper that by changing the initial operation condition of batch processes, the dynamic performance of the system can be varied largely. The initial operation conditions are often ignored in design of batch processes for flexibility against disturbances or parameter variations. When the initial conditions are not rigid, as in the case of a batch reactor where the initial reaction temperature is quite arbitrary, optimization can also be applied to determine the “best” initial condition to be used. Problems for dynamic flexibility analysis, including initial conditions and process operation, can be formulated as dynamic optimization problems. If the initial conditions are considered, the conditions can be transferred into control variables in the first step of optimization. The solution of the dynamic optimization is based on the Runge-Kutta integration algorithm and decomposition search algorithm. This method, as illustrated and tested with two highly nonlinear chemical engineering problems, enables the optimal solution to be determined. En ligne : http://pubs.acs.org/doi/abs/10.1021/ie8006424