Tuning operational conditions for efficient NOx storage and reduction over a Pt–Ba/Al2O3 monolith catalyst

氮氧化物 整体 工艺工程 催化作用 化学 环境科学
作者
Beñat Pereda-Ayo,Divakar Duraiswami,Juan José Delgado,Rubén López-Fonseca,José J. Calvino,Serafín Bernal,Juan R. González-Velasco
出处
期刊:Applied Catalysis B-environmental [Elsevier]
卷期号:96 (3): 329-337 被引量:25
标识
DOI:10.1016/j.apcatb.2010.02.029
摘要

Abstract A well-controlled homemade Pt–BaO/Al2O3 monolith catalyst has been used for tuning the operational conditions at which the NOx storage and reduction (NSR) of the lean-burn engine exhaust gases is achieved more efficiently. The following operational conditions have been analyzed: the duration of the lean (storage) period, and the reductant (H2) concentration and duration of the regeneration (rich) period. The storage pattern during the lean period is evaluated by the percentage of NOx stored or NOx trapping efficiency (ηT), and the performance during the rich period is evaluated by the NOx reduction conversion (XR) and the selectivity to nitrogen ( S N 2 ). These three response variables have been integrated into the single parameter that we have named integral NSR efficiency (ɛNSR) of the whole NSR process, which represents the percentage of N2 produced at the reactor exit relative to the NOx fed to the reactor. The proposed graphical map consists of a series of ɛNSR-isocurves and allows predicting the NSR efficiency for any combination of the three studied operational conditions ( C H 2 , t R , t L ) . Such operational map shall also be useful to compare the global NSR behavior of commercial catalysts under real operating conditions.

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

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
qu发布了新的文献求助10
刚刚
情怀应助czy采纳,获得10
1秒前
wwww完成签到,获得积分10
1秒前
香蕉觅云应助sunyanghu369采纳,获得10
2秒前
泡面发布了新的文献求助10
2秒前
求泉发布了新的文献求助10
2秒前
2秒前
2秒前
研究僧发布了新的文献求助10
3秒前
4秒前
4秒前
侧耳倾听发布了新的文献求助30
4秒前
臭嘴橘子完成签到,获得积分10
5秒前
我是老大应助杨婷采纳,获得10
5秒前
完美世界应助科研能采纳,获得10
5秒前
5秒前
5秒前
5秒前
大胆诗云发布了新的文献求助10
5秒前
文静的匪完成签到 ,获得积分10
6秒前
6秒前
112完成签到,获得积分20
6秒前
6秒前
覆水难收完成签到,获得积分10
7秒前
7秒前
OYYO完成签到,获得积分10
7秒前
7秒前
7秒前
8秒前
阿伟啊发布了新的文献求助10
8秒前
无花果应助崔崔采纳,获得10
8秒前
LALALA发布了新的文献求助10
8秒前
8秒前
怕孤独的若云完成签到,获得积分10
9秒前
gao完成签到 ,获得积分20
10秒前
10秒前
11秒前
覆水难收发布了新的文献求助10
11秒前
11秒前
12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
List of 1,091 Public Pension Profiles by Region 1561
Binary Alloy Phase Diagrams, 2nd Edition 1200
Holistic Discourse Analysis 600
Atlas of Liver Pathology: A Pattern-Based Approach 500
Latent Class and Latent Transition Analysis: With Applications in the Social, Behavioral, and Health Sciences 500
Using Genomics to Understand How Invaders May Adapt: A Marine Perspective 400
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 生物化学 物理 纳米技术 计算机科学 内科学 化学工程 复合材料 物理化学 基因 遗传学 催化作用 冶金 量子力学 光电子学
热门帖子
关注 科研通微信公众号,转发送积分 5506224
求助须知:如何正确求助?哪些是违规求助? 4601750
关于积分的说明 14478529
捐赠科研通 4535703
什么是DOI,文献DOI怎么找? 2485613
邀请新用户注册赠送积分活动 1468474
关于科研通互助平台的介绍 1440997