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
科研通AI6.3应助朱123采纳,获得10
1秒前
xiaoyangbao发布了新的文献求助10
2秒前
桐桐应助masol采纳,获得10
2秒前
研友_7ZebY8完成签到,获得积分10
3秒前
跳跃的文涛完成签到,获得积分20
3秒前
3秒前
3秒前
Criminology34应助恬豆发芽了采纳,获得10
4秒前
糟糕发布了新的文献求助500
7秒前
7秒前
7秒前
8秒前
9秒前
王力祖发布了新的文献求助10
9秒前
hongdongxiang完成签到,获得积分10
11秒前
12秒前
湛湛蓝发布了新的文献求助10
12秒前
12秒前
tt完成签到,获得积分10
14秒前
酷炫不斜完成签到 ,获得积分10
16秒前
16秒前
17秒前
羊肉关注了科研通微信公众号
18秒前
sss完成签到,获得积分10
19秒前
科研爵士圣体完成签到,获得积分10
22秒前
鹿乃发布了新的文献求助10
23秒前
传奇3应助赵吉思汗采纳,获得10
23秒前
24秒前
Akim应助化合物来采纳,获得10
25秒前
梦行云完成签到,获得积分10
25秒前
张恒完成签到,获得积分10
25秒前
26秒前
26秒前
26秒前
lizishu应助科研通管家采纳,获得10
27秒前
GreedB1E应助科研通管家采纳,获得10
27秒前
Owen应助张恒采纳,获得10
28秒前
30秒前
30秒前
小雪人发布了新的文献求助10
32秒前
高分求助中
Principles of Economics, 11th Edition 10000
University Physics with Modern Physics, 16th edition 10000
(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
Arthritis and Related Conditions, An Issue of Orthopedic Clinics 1000
Development of a Bridge Weigh-In-Motion System: A technology to convert the bridge response to the passage of traffic into data on vehicle configurations, speeds, times of travel and weights 1000
ズームレンズの光学設計に関する研究 800
Fundamentals of Pharmaceutical and Biologics Regulations: A Global Perspective, Second Edition 700
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 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7287511
求助须知:如何正确求助?哪些是违规求助? 8907292
关于积分的说明 18850770
捐赠科研通 6956319
什么是DOI,文献DOI怎么找? 3208604
关于科研通互助平台的介绍 2378499
邀请新用户注册赠送积分活动 2184260