N2 selectivity of Fe–Mn nano-sized catalysts in selective catalytic reduction of ammonia

脱氢 催化作用 选择性 选择性催化还原 热液循环 纳米- 化学 星团(航天器) 无机化学 密度泛函理论 材料科学 化学工程 有机化学 冶金 计算化学 复合材料 工程类 程序设计语言 计算机科学
作者
Qi Yang,Zizhou Cai,Yucai Lu,Fanqin Xiong,Jun Liu,Yunlan Sun,Minggao Xu,Baozhong Zhu
出处
期刊:Journal of The Energy Institute [Elsevier BV]
卷期号:114: 101565-101565 被引量:1
标识
DOI:10.1016/j.joei.2024.101565
摘要

Fe–Mn nano-sized catalysts show remarkable deNOx activities at low temperatures. However, there is a noticeable disparity in N2 selectivity before and after the addition of Fe element, and the cause of this difference remains unknown. In this study, Fe–Mn nano-sized catalysts were prepared by using the hydrothermal method and their deNOx performance and physicochemical properties were examined. Based on the results of experimental research, the simplified computational models for Fe–Mn nano-sized catalysts before and after introducing Fe element were constructed, namely α-MnO2 (200) surface and Fe–Mn cluster model. The mechanism of N2 generation during the NH3-SCR process of Fe–Mn nano-sized catalysts was thoroughly investigated by using the density functional theory. The Mn sites of Fe–Mn clusters are more favorable for NH3 dehydrogenation reaction compared to the Mn sites on the α-MnO2 (200) surface. Furthermore, compared to the α-MnO2 (200) surface, the NH2NO intermediate tends to undergo dehydrogenation on the Fe–Mn clusters to generate N2. These results will help to gain insight into the microscopic mechanism of Fe–Mn nano-sized catalysts in N2 generation during NH3-SCR and lay the foundation for enhancing the N2 selectivity of Fe–Mn catalysts.
最长约 10秒,即可获得该文献文件

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
王一发布了新的文献求助10
1秒前
伊祁夜明完成签到,获得积分10
2秒前
2秒前
CACT完成签到,获得积分10
2秒前
心内小白发布了新的文献求助10
3秒前
小王完成签到 ,获得积分10
3秒前
就这样完成签到 ,获得积分10
3秒前
树袋熊完成签到,获得积分10
3秒前
LingMg发布了新的文献求助30
4秒前
5秒前
6秒前
Owen应助虚拟的明辉采纳,获得10
6秒前
星辰大海应助宝z采纳,获得10
6秒前
6秒前
NexusExplorer应助科研通管家采纳,获得10
6秒前
小五应助科研通管家采纳,获得10
6秒前
桐桐应助科研通管家采纳,获得10
6秒前
7秒前
852应助科研通管家采纳,获得10
7秒前
7秒前
7秒前
7秒前
7秒前
7秒前
7秒前
晨夕应助科研通管家采纳,获得10
7秒前
7秒前
7秒前
7秒前
8秒前
8秒前
8秒前
8秒前
香蕉觅云应助科研通管家采纳,获得10
8秒前
Semy应助科研通管家采纳,获得20
8秒前
Zero发布了新的文献求助10
8秒前
8秒前
研友_VZG7GZ应助科研通管家采纳,获得10
8秒前
ycz发布了新的文献求助10
8秒前
9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
PowerCascade: A Synthetic Dataset for Cascading Failure Analysis in Power Systems 2000
Various Faces of Animal Metaphor in English and Polish 800
Signals, Systems, and Signal Processing 610
Superabsorbent Polymers: Synthesis, Properties and Applications 500
Photodetectors: From Ultraviolet to Infrared 500
On the Dragon Seas, a sailor's adventures in the far east 500
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 6351889
求助须知:如何正确求助?哪些是违规求助? 8166480
关于积分的说明 17186655
捐赠科研通 5408073
什么是DOI,文献DOI怎么找? 2863058
邀请新用户注册赠送积分活动 1840549
关于科研通互助平台的介绍 1689623