Kinetic modelling of temperature-programmed reduction of cobalt oxide by hydrogen

催化作用 结晶度 化学 程序升温还原 氧化钴 费托法 无定形固体 化学工程 无机化学 多相催化 有机化学 结晶学 选择性 工程类
作者
Chao’en Li,Lisa Wong,Liangguang Tang,Nicola V. Y. Scarlett,Ken Chiang,Jim Patel,Nick Burke,Valérie Sage
出处
期刊:Applied Catalysis A-general [Elsevier]
卷期号:537: 1-11 被引量:24
标识
DOI:10.1016/j.apcata.2017.02.022
摘要

The reduction activities and mechanisms of cobalt-based catalysts are of great interest to industry and researchers, due to their applications in Fischer–Tropsch synthesis. Here, we investigated the reduction of alumina‐supported cobalt catalysts by hydrogen using temperature-programmed reduction. We propose a five-step reduction mechanism that incorporates both amorphous and crystalline Co3O4, and includes the interaction between CoO and the Al2O3 support. Based on our proposed mechanism, we developed a kinetic model of the reduction process. The modelling results of catalysts promoted with ruthenium and lanthanum in contrast with un-promoted catalyst clearly show that the promoter improves reducibility of the catalyst. The effect of Co3O4 crystallinity was also investigated by the reduction of fresh in comparison of pre-oxidised catalyst. We conclude that high crystallinity significantly increases the difficulty of reducing Co3O4. The interaction between CoO and Al2O3 under reduction conditions to form CoAl2O4 was quantitatively simulated. The kinetic modelling confirms that the support plays an important role in catalyst reduction via the interaction between the catalyst and the support. Those kinetic modelling results are supported by in situ X-ray diffraction studies of the reduction process.

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
1秒前
Talha完成签到,获得积分20
2秒前
鲨鱼辣椒发布了新的文献求助10
2秒前
秋水发布了新的文献求助10
3秒前
受伤不斜发布了新的文献求助10
3秒前
3秒前
3秒前
3秒前
星辰大海应助yy采纳,获得10
3秒前
晓倩完成签到,获得积分10
3秒前
轻云触月发布了新的文献求助10
4秒前
罗翊彰发布了新的文献求助10
4秒前
阿晖发布了新的文献求助10
4秒前
简单安南完成签到,获得积分10
4秒前
情怀应助拉长的冬云采纳,获得10
4秒前
5秒前
5秒前
SSQ完成签到,获得积分10
5秒前
Unpaid完成签到,获得积分10
5秒前
arui发布了新的文献求助10
6秒前
yy完成签到,获得积分20
6秒前
嘟嘟发布了新的文献求助10
6秒前
xin完成签到,获得积分20
6秒前
bkagyin应助科研狗采纳,获得10
7秒前
Orange应助林曳采纳,获得10
7秒前
孔雀翎发布了新的文献求助10
8秒前
8秒前
8秒前
8秒前
9秒前
9秒前
9秒前
zhuo完成签到,获得积分10
9秒前
科目三应助莫默采纳,获得10
10秒前
Jeamren完成签到,获得积分10
10秒前
YANDD完成签到,获得积分10
10秒前
内向以彤完成签到,获得积分10
10秒前
量子星尘发布了新的文献求助10
11秒前
11秒前
12秒前
高分求助中
Theoretical Modelling of Unbonded Flexible Pipe Cross-Sections 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
《药学类医疗服务价格项目立项指南(征求意见稿)》 880
花の香りの秘密―遺伝子情報から機能性まで 800
3rd Edition Group Dynamics in Exercise and Sport Psychology New Perspectives Edited By Mark R. Beauchamp, Mark Eys Copyright 2025 600
1st Edition Sports Rehabilitation and Training Multidisciplinary Perspectives By Richard Moss, Adam Gledhill 600
Digital and Social Media Marketing 500
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 5619329
求助须知:如何正确求助?哪些是违规求助? 4704120
关于积分的说明 14925930
捐赠科研通 4759609
什么是DOI,文献DOI怎么找? 2550538
邀请新用户注册赠送积分活动 1513291
关于科研通互助平台的介绍 1474401