‘Fast’ NOx storage on Pt/BaO/γ-Al2O3 Lean NOx Traps with NO2+O2 and NO+O2: Effects of Pt, Ba loading

氮氧化物 化学 催化作用 限制 邻接 空间速度 化学工程 燃烧 有机化学 选择性 机械工程 工程类
作者
Saurabh Sudhir Chaugule,Aleksey Yezerets,Neal W. Currier,Fabio H. Ribeiro,W. Nicholas Delgass
出处
期刊:Catalysis Today [Elsevier]
卷期号:151 (3-4): 291-303 被引量:28
标识
DOI:10.1016/j.cattod.2010.02.024
摘要

NOx storage on Pt/BaO/γ-Al2O3 Lean NOx Traps (LNTs) has been studied with a particular focus on the NOx storage capacity (NSC) of these traps for the time up to which 1% of the inlet [NOx] escapes the trap. This complete or 'fast' NOx sorption capability of LNTs for appreciable amounts of time is what makes these catalysts useful for automotive NOx emission abatement. The fast NSC for LNT formulations with combinations of a range of Pt (0.6–6.3 wt.%) and Ba (4–20 wt.%) loadings was measured under various lean feed compositions including NO, NO2 and NO + NO2 as the NOx sources and presence and absence of 7%CO2 and 7%H2O. All the measurements were performed at 300 °C and at a space velocity of 30,000 h−1. The complex trends in the fast NSC due to various Pt, Ba loading combinations are explained with the help of a phenomenological model. The model addresses the trends in fast NSC primarily through combinations of NOx storage contributions in parallel pathways on Ba vicinal to Pt and Ba uninfluenced by Pt. We attribute the influence of Pt to the spillover of dissociated oxygen atoms from Pt to the vicinal Ba sites. This Pt–Ba synergy was found to play a dominating role in governing the fast NSCs of all the LNT samples especially in presence of CO2, H2O and CO2 + H2O in the lean feed. It was also found to be the prominent factor in limiting the fast NSC when NO and NO + NO2 (with low NO2/NO) were the NOx sources rather than NO2. We propose that the NOx storage process on Ba vicinal to Pt involves a localized reaction front of NOx that travels through the catalyst bed with saturation of those sites. This process has no preference between NO and NO2 as a precursor. CO2 and H2O affect through competition for both types of Ba sites available for NOx storage.

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
完美世界应助YANNAN采纳,获得10
2秒前
2秒前
量子星尘发布了新的文献求助10
2秒前
3秒前
4秒前
茂茂完成签到,获得积分10
5秒前
wanci应助Ciaoh采纳,获得10
5秒前
5秒前
6秒前
王世缘完成签到,获得积分10
6秒前
xiaoguoxiaoguo完成签到,获得积分10
6秒前
George Will完成签到,获得积分10
7秒前
无私的丹完成签到 ,获得积分10
7秒前
HuiYmao发布了新的文献求助10
8秒前
figo发布了新的文献求助10
8秒前
丘比特应助Sunny采纳,获得10
9秒前
NexusExplorer应助Katze采纳,获得10
10秒前
10秒前
王图图完成签到 ,获得积分10
11秒前
迷路山晴发布了新的文献求助10
11秒前
lzzk完成签到,获得积分10
12秒前
歇洛克完成签到,获得积分20
12秒前
英姑应助underway采纳,获得10
12秒前
大个应助郝好月采纳,获得10
13秒前
Ava应助虾啊采纳,获得10
13秒前
HuiYmao完成签到,获得积分10
13秒前
丸子完成签到 ,获得积分10
15秒前
脑洞疼应助大群采纳,获得10
15秒前
珍惜眼前人完成签到,获得积分10
15秒前
方法完成签到,获得积分10
16秒前
16秒前
ASHUN完成签到,获得积分10
17秒前
18秒前
星辰大海应助度度采纳,获得10
18秒前
小T儿完成签到,获得积分10
19秒前
SUNLE完成签到,获得积分10
20秒前
无花果应助迷路山晴采纳,获得10
20秒前
量子星尘发布了新的文献求助10
20秒前
Ciaoh发布了新的文献求助10
21秒前
陌陌完成签到 ,获得积分10
22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
Basic And Clinical Science Course 2025-2026 3000
人脑智能与人工智能 1000
花の香りの秘密―遺伝子情報から機能性まで 800
Silicon in Organic, Organometallic, and Polymer Chemistry 500
Principles of Plasma Discharges and Materials Processing, 3rd Edition 400
Pharmacology for Chemists: Drug Discovery in Context 400
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 计算机科学 有机化学 物理 生物化学 纳米技术 复合材料 内科学 化学工程 人工智能 催化作用 遗传学 数学 基因 量子力学 物理化学
热门帖子
关注 科研通微信公众号,转发送积分 5607982
求助须知:如何正确求助?哪些是违规求助? 4692447
关于积分的说明 14874887
捐赠科研通 4716182
什么是DOI,文献DOI怎么找? 2543917
邀请新用户注册赠送积分活动 1509011
关于科研通互助平台的介绍 1472709