Hybrid Model of Industrial p-Xylene Oxidation Incorporated Fractional Kinetic Model with Intelligent Models

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• 作者：Yaming Dong ; Xuefeng Yan
• 刊名：Industrial & Engineering Chemistry Research
• 出版年：2013
• 出版时间：February 20, 2013
• 年：2013
• 卷：52
• 期：7
• 页码：2537-2547
• 全文大小：502K
• 年卷期：v.52,no.7(February 20, 2013)
• ISSN：1520-5045

文摘

A hybrid modeling approach for the oxidation of p-xylene (PX) to terephthalic acid (TA) in an industrial continuously stirred tank reactor (CSTR) was proposed. First, considering that the reaction factors have a highly nonlinear effect on the kinetic rate constants, support vector regression (SVR) was used to construct the rate constant model based on the data from a laboratory semibatch reactor (SBR). Second, due to the significant difference between the nature of PX oxidation in the laboratory SBR and that in the industrial CSTR, this model was extended via artificial neural network (ANN) to correlate the rate constants in the industrial CSTR with that in the laboratory SBR, and a genetic algorithm is employed to obtain the optimal weights and thresholds by direct fitting of the difference between the hybrid model results and the real industrial data. Further, the reliability of the hybrid model was investigated and satisfactory results were obtained.