Abstract: The current production methods of styrene at home and abroad are mainly dhydrogenation of ethylbenzene which accounts for more than 90% of styrene production capacity in the world. To save energy, it was needed to optimize the system and its premise was to know the mathematical model of ethylbenzene dehydrogenation reactor. Due to the complexity of the reactor internal structure, mechanism modeling was more difficult to establish objective and accurate mathematics models. To solve this problem, it was used recursive least squares to conduct parameter identification. On the basis of actual plant data, ethylbenzene dehydrogenation reactor mathematical model was assumed and the procedures was run by using matlab to estimate the model parameters. The effectiveness of the identification results were verified by another set of data. The simulation results show that the identified reactor mode is of higher precision, the model is effective and suitable for industrial application.

Key words: ethylbenzene dehydrogenation reactor, recursive least squares method, modeling, MATLAB simulation