Methanol to olefin (MTO) reaction is regarded as an important bridge between traditional coal and modern petrochemical industry. Its importance poses significant challenges at the same time in terms of complexity. Many works have been made to effectively represent the mechanism and expand its application. A new kinetic model is proposed for the methanol-to-olefins (MTO) reaction in this paper. The MTO reaction kinetics is investigated by way of a lumped kinetic model based on certain assumptions. The kinetic parameters were determined by using some experimental data treated by genetic algorithm. In the proposed model, the deactivation constant a is the only intrinsic parameter required to represent the effect of catalyst deactivation on the conversion and product yields. This approach is shown to be effective for modeling complex deactivation kinetics in MTO. The proposed model gives a reasonable representation of the experimental data.
Keywords Methanol-to-olefins, modeling, kinetics deactivation, Light olefins