Microstructure Effects on Performance and Deactivation of Hierarchically Structured Porous Catalyst: a Pore Network Model

TL;DR

This study extends a pore network model to analyze how hierarchical microstructures in porous catalysts affect their reaction performance and deactivation due to coking, highlighting the influence of structural features and transport properties.

Contribution

It introduces a pore network model that accounts for deactivation mechanisms in hierarchically structured catalysts, providing insights into how microstructure influences reactivity and deactivation.

Findings

Hierarchical microstructure impacts catalyst reactivity and deactivation.

Macroporosity does not always enhance reactivity or resistance.

Deactivation involves site coverage, pore narrowing, and pore blockage.

Abstract

In this paper, the pore network model to investigate the reaction-diffusion process in the hierarchically structured porous catalyst particle is extended to consider the phenomenon of deactivation by coking. In this framework, the interaction of internal particle pore structure and mass transfer under the condition of coke deposition are examined. A primitive experimental investigation has been performed as an introduction to the development of the model. Then, the effect of structural features namely macroporosity and pore size ratio, the deactivation properties, the maximum loading of coke as well as the transport properties, the pore Damkohler number on the net reaction rate and deactivation of the particle have been investigated. Three deactivation mechanisms are accounted for, namely, the site coverage, the pore narrowing, and the pore blockage. It is found that the deactivation of the catalyst particle can be divided into two conditions: the kineticsal deactivation and the structural deactivation. It is shown that depending on the Damkohler number, increasing the macroporosity does not necessarily improve the reactivity and deactivation resistance of the catalyst. The key finding of this work is to demonstrate and quantify how changing the typical fresh catalyst microstructure observed in the experimental characterization into a hierarchical one influences the reactivity and deactivation.