(150g) Trapping Properties of Ag/SSZ-13 Zeolite: Modeling Adsorption Capacity | AIChE

(150g) Trapping Properties of Ag/SSZ-13 Zeolite: Modeling Adsorption Capacity

Authors 

Walker, E. - Presenter, University of South Carolina
Horvatits, C., SUNY Buffalo
Dupuis, M., University at Buffalo SUNY
Kyriakidou, E., SUNY at Buffalo
Li, D., SUNY Buffalo

Trapping
materials prevent greenhouse gases from being released before a vehicle’s
catalytic converter activates during start-up.  A major consideration for
any trapping candidate material is the adsorption capacity of the material for cold
(below the catalyst operating temperature) gases emitted from the engine during
startup before the gases sufficiently heat to the catalyst operating
temperature.1  The trapping candidate material chosen for
evaluation in this work is the zeolite SSZ-13 ion exchanged with Ag (Figure
1).  Ethylene and water, two components present in vehicle exhaust which
compete for adsorption sites are studied from density functional theory (DFT)
calculations.  The BEEF-vdw2 functional is used in DFT
calculations, which provides an estimate of DFT binding energy uncertainty. 
Previously, DFT models in the literature have been limited to energies and not
adsorption capacity predictions.  Adsorption capacities are key to the
experimental testing of candidate trapping materials.  This uncertainty is
propagated through two adsorption capacity models.  The two models are
competitive Langmuir adsorption and a mean-field microkinetic model.  Both
models give qualitatively similar results.

Figure
1. The zeolite material SSZ-13 with Ag ions is modeled (2 unit cells displayed)
for its adsorption capacity of two vehicle engine emissions gases: ethylene and
water.

[1] Lee,
J.; Theis, J. R.; Kyriakidou, E. A. Vehicle Emissions Trapping Materials:
Successes, Challenges and the Path Forward. Appl. Catal. B- Environ. 243
(2019) 397-414.

[2]
Wellendorff, J.; Lundgaard, K. T.; Møgelhøj, A.; Petzold, V.; Landis, D. D.; Nørskov,
J. K.; Bligaard, T.; Jacobsen, K. W. Density Functionals for Surface Science:
Exhange-Correlation Model Development with Bayesian Error Estimation. Phys.
Rev. B
85 (2012) 235149.