| Issue |
E3S Web Conf.
Volume 695, 2026
2nd International Conference on Sustainable Chemistry (ICSChem 2025)
|
|
|---|---|---|
| Article Number | 03004 | |
| Number of page(s) | 10 | |
| Section | Green Chemistry | |
| DOI | https://doi.org/10.1051/e3sconf/202669503004 | |
| Published online | 24 February 2026 | |
Numerical simulation of CO oxidation using a Pt/Al2O3 catalyst under concentration and flowrate modulation
Chemical Engineering Department, Universitas Muhammadiyah Surakarta, Kartasura 57102, Indonesia
* Corresponding author: This email address is being protected from spambots. You need JavaScript enabled to view it.
Abstract
Carbon monoxide (CO) oxidation is a key reaction for controlling vehicle emissions and serves as a model for studying catalytic behavior. Fixed-bed reactor simulations are highly sensitive to kinetic parameters, where modulation of flow rate and feed concentration can influence conversion. However, comparative unsteady-state simulations of these modulations are still limited. This study numerically simulates high-temperature CO oxidation over a Pt/Al2O3 catalyst using FlexPDE 8.0 Lite under steady and unsteady conditions in a one-dimensional pseudo-homogeneous fixed-bed model. The effects of inlet CO concentration (0.020–0.125 mol/m3), gas velocity (0.48–0.90 m/s), and switch time (10– 30 s) were investigated at 900 K to eliminate light-off effects. As predicted by the Langmuir–Hinshelwood mechanism, steady-state conversion dropped sharply with increasing CO concentration, falling below 10% above 0.05 mol/m3. Unsteady-state operation enhanced conversion, with single-parameter modulation outperforming simultaneous modulation. Concentration modulation at a 15 s switch time achieved up to 35.24% conversion—twice that of steady state—while flow rate modulation at 10 s also doubled conversion (7.24% to 15.70%). Longer switch times reduced improvement. In simultaneous modulation, the best result occurred with a positive phase shift in CO concentration and a negative phase shift in velocity. These findings support future development of unsteady-state catalytic reactor models.
© The Authors, published by EDP Sciences, 2026
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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