DOC modeling combining kinetics and mass transfer using inert washcoat layers
Journal article, 2016

The aim of this study was to develop a kinetic and transport model for diesel oxidation catalysts (DOC) with a satisfactory compromise between accuracy and computational demands for robust simulation of transient full-scale operation. Specifically the model accounts for surface concentrations of key species needed to capture transient features for typical lean exhaust conditions. In addition, the model accounts for transport limitations and distinguish them from reaction kinetics as well as apparent NO oxidation inhibition effects due to reactions. To achieve this, lab scale experiments were performed with DOCs with different platinum loadings and three different washcoat configurations of which two had an inert top layer. Both kinetic parameters for a detailed kinetic model and effective diffusivities were optimized for the experimental data using a single channel catalyst model. The experiments showed a clear effect of increased transport resistance for propene and CO and also that NO2 plays an important role as an oxidizing agent for preferentially CO at low temperature (<120 °C). The resulting model showed good agreement with measurement data using O, CO and NO2 as the only surface species. The use of different thicknesses of an inert washcoat layer closest to the gas bulk aided the resolution of kinetics from transport phenomena.

Kinetic modeling

Inhibition effects

Transport resistances

Diesel oxidation catalyst

Author

Björn Lundberg

Chalmers, Chemistry and Chemical Engineering, Chemical Technology

Jonas Sjöblom

Chalmers, Applied Mechanics, Combustion and Propulsion Systems

Åsa Johansson

Johnson Matthey AB

Björn Westerberg

Scania CV AB

Derek Creaser

Chalmers, Chemistry and Chemical Engineering, Chemical Technology

Applied Catalysis B: Environmental

0926-3373 (ISSN) 1873-3883 (eISSN)

Vol. 191 116-129

Driving Forces

Sustainable development

Areas of Advance

Transport

Subject Categories

Chemical Process Engineering

Other Chemistry Topics

Infrastructure

C3SE (Chalmers Centre for Computational Science and Engineering)

DOI

10.1016/j.apcatb.2016.03.024

More information

Latest update

11/29/2019