(174ac) An Approach for Methanol-to-Olefin (MTO) Reaction Kinetics Using Simple but Efficient Lumped Model | AIChE

(174ac) An Approach for Methanol-to-Olefin (MTO) Reaction Kinetics Using Simple but Efficient Lumped Model

Authors 

Ryu, J. H. - Presenter, Dongguk University
Lee, M. K., POSTECH
Lee, I. B., POSTECH
Methanol-to-Olefin (MTO) reaction plays an important role of transforming the non-oil resources such as coal and natural gas into basic petrochemicals of huge applicability. It has been drawing a significant attention from industry and academia to understand its complex scientific and technical aspects. It is still fair to mention that there are still much to be done for developing commercially matured MTO processes.

There are two mainly types of approach so far, a detailed and lumped modeling approach. While it is too much time-consuming and difficult to obtain all necessary data to approach MTO by using a detailed model. A lumped approach is mainly preferred by aggregating similar properties and simplifying the involving reaction pathways. This paper aims to develop a simple and efficient lumped kinetic model for addressing MTO reaction mechanism. It is assumed that all reaction steps are in the first-order and the active catalyst reduction is proportional to the conversion.

Under that assumption, it has been shown that the deactivation of catalyst is expressed as a decay of the effective amount of active catalyst with time on stream. Then the deactivation behavior of catalyst can be explained by using only a single parameter: the deactivation constant . The product distribution with time over catalyst during the MTO reaction looks like those caused by decreasing the space time. By taking advantage of this concept, a new kinetic model is proposed for the methanol-to-olefin (MTO) reaction. It was shown that the results according to the proposed model are quite well in line with actual experimental data. The proposed model can be applied to address the distribution of major products of MTO for industrial applications.