A joint model-based experimental design approach for the identification of kinetic models in continuous flow laboratory reactors

被引:33
作者
Galvanin, Federico [1 ]
Cao, Enhong [1 ]
Al-Rifai, Noor [1 ]
Gavriilidis, Asterios [1 ]
Dua, Vivek [1 ]
机构
[1] UCL, Dept Chem Engn, Torrington Pl, London WC1E 7JE, England
基金
英国工程与自然科学研究理事会;
关键词
Model-based design of experiments; Joint design of experiments; Model discrimination; Parameter estimation; SEQUENTIAL EXPERIMENTAL-DESIGN; PARAMETER-ESTIMATION; RIVAL MODELS; DISCRIMINATION; OXIDATION; METHANOL;
D O I
10.1016/j.compchemeng.2016.05.009
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
Continuous flow laboratory reactors are typically used for the development of kinetic models for catalytic reactions. Sequential model-based design of experiments (MBDoE) procedures have been proposed in literature where experiments are optimally designed for discriminating amongst candidate models or for improving the estimation of kinetic parameters. However, the effectiveness of these procedures is strongly affected by the initial model uncertainty, leading to suboptimal design solutions and higher number of experiments to be executed. A joint model-based design of experiments (j-MBDoE) technique, based on multi-objective optimization, is proposed in this paper for the simultaneous solution of the dual problem of discriminating among competitive kinetic models and improving the estimation of the model parameters. The effectiveness of the proposed design methodology is tested and discussed through a simulated case study for the identification of kinetic models of methanol oxidation over silver catalyst. (C) 2016 The Author(s). Published by Elsevier Ltd.
引用
收藏
页码:202 / 215
页数:14
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