[article] 
inIndustrial & engineering chemistry research > Vol. 50 N° 9 (Mai 2011) . - pp. 5050-5063

Titre :	Robust implementation of optimal decisions using a two-layer chance-constrained approach
Type de document :	texte imprimé
Auteurs :	Tilman Barz, Auteur ; Günter Wozny, Auteur ; Harvey Arellano-Garcia, Auteur
Année de publication :	2011
Article en page(s) :	pp. 5050-5063
Note générale :	Chimie industrielle
Langues :	Anglais (eng)
Mots-clés :	Optimization
Résumé :	In this work, the implementation of optimal and robust decisions in the presence of various uncertainties comprising model parameters, external conditions, and the closed loop behavior of basic controllers is presented. In order to compute the optimal and reliable decisions, a chance-constrained optimization problem is formulated. The efhcient solution approach is based on the relaxation of the original stochastic optimization problem formulation to a standard nonlinear programming problem. By this means, nominal optimal solutions and operating points are regularly adapted in order to guarantee both feasibility and process operation as close as possible to the nominal optimum. The solution implies the minimization of additional costs, which come from conservative strategies that compensate for uncertainty. The experimental verification of the developed approach is carried out on a high-pressure distillation pilot plant for the separation of an azeotropic mixture.
DEWEY :	660
ISSN :	0888-5885
En ligne :	http://pubs.acs.org/doi/abs/10.1021/ie1014525

[article] Robust implementation of optimal decisions using a two-layer chance-constrained approach [texte imprimé] / Tilman Barz, Auteur ; Günter Wozny, Auteur ; Harvey Arellano-Garcia, Auteur . - 2011 . - pp. 5050-5063.
Chimie industrielle
Langues : Anglais (eng)
in Industrial & engineering chemistry research > Vol. 50 N° 9 (Mai 2011) . - pp. 5050-5063

Mots-clés :	Optimization
Résumé :	In this work, the implementation of optimal and robust decisions in the presence of various uncertainties comprising model parameters, external conditions, and the closed loop behavior of basic controllers is presented. In order to compute the optimal and reliable decisions, a chance-constrained optimization problem is formulated. The efhcient solution approach is based on the relaxation of the original stochastic optimization problem formulation to a standard nonlinear programming problem. By this means, nominal optimal solutions and operating points are regularly adapted in order to guarantee both feasibility and process operation as close as possible to the nominal optimum. The solution implies the minimization of additional costs, which come from conservative strategies that compensate for uncertainty. The experimental verification of the developed approach is carried out on a high-pressure distillation pilot plant for the separation of an azeotropic mixture.
DEWEY :	660
ISSN :	0888-5885
En ligne :	http://pubs.acs.org/doi/abs/10.1021/ie1014525