Kinetic modeling, in combination with flow reactor experiments, was used in this study to simulate a supplier
lean NO
x
trap (LNT). The LNT catalyst used is a commercial catalyst that contains barium and potassium as
storage components. The results presented in this paper are a continuation of a previous study, where a global
kinetic model for NO
x
storage was developed for a model Pt/Rh/BaO/Al2O3 catalyst. In this work, a simplified
model is used, where NO oxidation, nitrite, and nitrate formation are lumped together into one reaction, and
the model predicts the total NO
x
. In this model, only one reaction step must be tuned for each storage
component: that is, in our case, one reaction for the formation of barium nitrate and one reaction for potassium
nitrate. A broad range of experimental conditions was used when developing this model; five temperatures
(200, 300, 400, 500, and 600 °C) and three different inlet NO concentrations (100, 200, and 300 ppm) were
used. Water and CO2 were present in all experiments, because these can affect the storage behavior. The
reductant used in the regeneration period was CO. Long lean and rich cycles were used to capture the kinetics
of the reactions accurately. The model was able to describe all 15 experiments well and could adequately
capture the amount of stored NO
x
during the lean period and the NO
x
conversion during the rich period,
including the NO
x
breakthrough peak that occurred at the beginning of the rich period. The model was validated
with short lean−rich cycling experiments, where the lean period was 30 s and the rich period was 2 s. The
model could predict the outlet NO
x
concentration well, and the error for the average conversion was only
1%−2% in the validation simulations.