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.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
南哥完成签到,获得积分10
1秒前
1秒前
zyl发布了新的文献求助10
1秒前
地方完成签到 ,获得积分10
2秒前
木木林发布了新的文献求助10
3秒前
Sapphire发布了新的文献求助10
6秒前
10秒前
科研通AI6.2应助为阿达采纳,获得10
10秒前
LINhee完成签到,获得积分10
11秒前
11秒前
脑洞疼应助honey采纳,获得10
12秒前
home完成签到,获得积分10
12秒前
wewe11发布了新的文献求助10
13秒前
feifei完成签到,获得积分10
16秒前
小可完成签到,获得积分10
16秒前
16秒前
菲菲完成签到 ,获得积分10
18秒前
20秒前
清秀服饰完成签到,获得积分10
20秒前
20秒前
白梦瑶完成签到,获得积分10
22秒前
23秒前
Junzhuo Zhou完成签到,获得积分10
24秒前
24秒前
白梦瑶发布了新的文献求助10
25秒前
27秒前
小蘑菇应助南风知意采纳,获得10
28秒前
29秒前
木木林完成签到,获得积分20
29秒前
知性的初翠完成签到,获得积分10
30秒前
GoGoGo发布了新的文献求助10
30秒前
现在拨打发布了新的文献求助10
31秒前
32秒前
贝果脑袋发布了新的文献求助50
33秒前
34秒前
Jessie Li发布了新的文献求助10
35秒前
36秒前
轻松的小天鹅完成签到,获得积分10
39秒前
向晚完成签到,获得积分10
39秒前
高大草莓完成签到,获得积分10
40秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Developing Genetic Editing Tools for Lysobacter 2000
卤化钙钛矿人工突触的研究 2000
Моделирование процессов самоорганизации в кристаллообразующих системах 1000
History of U.S. Space Surveillance and Satellite Cataloging 1000
Signals, Systems, and Signal Processing 610
Fundamentals of Pharmaceutical and Biologics Regulations: A Global Perspective, Second Edition 600
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6516444
求助须知:如何正确求助?哪些是违规求助? 8309508
关于积分的说明 17761665
捐赠科研通 5618724
什么是DOI,文献DOI怎么找? 2925459
邀请新用户注册赠送积分活动 1902468
关于科研通互助平台的介绍 1763652