Comparative analysis of NOx reduction on Pt, Pd, and Rh catalysts by DFT calculation and microkinetic modeling

氮氧化物 催化作用 还原(数学) 化学 选择性催化还原 计算化学 物理化学 热力学 燃烧 有机化学 物理 几何学 数学
作者
Min Woo Lee,Eun Jun Lee,Kwan‐Young Lee
出处
期刊:Applied Surface Science [Elsevier BV]
卷期号:611: 155572-155572 被引量:8
标识
DOI:10.1016/j.apsusc.2022.155572
摘要

• DFT calculation was performed to identify the reaction mechanism of NO reduction on Pt, Pd and Rh catalysts under TWC conditions. • On the Pt catalyst, H 2 plays important roles to assist NO dissociation and to remove surface O*. • On the other hand, Rh showed strong NOx, N 2 and O 2 adsorption and NO was easily dissociated on the surface regardless of reducing agent. • Rh + Pt catalyst exhibits the excellent NO reduction activity under overall TWC condition. In this study, adsorption energies and reaction energetics on (1 1 1) surfaces of Pt, Pd and Rh were established using DFT calculation. Based on these thermodynamic results, reactant conversions and product yields of Pt, Pd and Rh catalysts under various air-fuel ratio (λ) were predicted by microkinetic modeling combined with simulated packed bed reactor. As a result, Pt catalyst efficiently utilizes H 2 in assisting NO dissociation and removing surface O * under stoichiometric and fuel-lean conditions. However, it presents high NH 3 yield under stoichiometric and fuel-lean conditions. Conversely, Rh catalyst show high NO reduction activity under fuel-rich condition while it hardly reduce NO in presence of O 2 . In order to take the advantages of both catalysts, we suggest physically-mixed Rh + Pt catalyst is excellent catalyst using the advantages of each catalyst for TWC. Consequently, it is confirmed that Pt sufficiently reduces NO using H 2 under stoichiometric and fuel-lean conditions, and Rh easily dissociates NO at low temperature under fuel-rich condition when using the Rh + Pt catalyst. We expect that identifying the reaction characteristics of TWC components under different λ conditions will help to propose future TWC design.

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