Role of Zn-Al oxide structure and oxygen vacancy in bifunctional catalyst for syngas conversion to light olefins

双功能 催化作用 氧化物 空间速度 合成气 煅烧 化学 无机化学 双功能催化剂 甲醇 尖晶石 氧气 吸附 金属 材料科学 有机化学 冶金 选择性
作者
Fanhui Meng,Baozhen Li,Jinghao Zhang,Lina Wang,Zhong Li
出处
期刊:Fuel [Elsevier BV]
卷期号:346: 128351-128351 被引量:15
标识
DOI:10.1016/j.fuel.2023.128351
摘要

Metal oxide plays a vital role in bifunctional tandem-catalyzed CO hydrogenation to light olefins. Herein, a series of Zn-Al metal oxides were prepared and then physically mixed with SAPO-18, the prepared bifunctional catalyst was applied in direct conversion of syngas to light olefins. The effects of structure and oxygen vacancy of Zn-Al oxide were studied by changing the preparation method and the sequence of precipitation. The sequential-precipitated ZA-SP oxide exhibits the ZnAl2O4 spinel structure and no obvious crystalline phase of γ-Al2O3 or ZnO. Compared with the reverse- or co-precipitated or the impregnated Zn-Al oxides, ZA-SP oxide possesses the highest oxygen vacancy content and amounts of desorbed CO, which facilitates the CO adsorption and activation. The adsorbed and activated CO on the surface of Zn-Al oxide converted to *CH3O intermediates with the dissociated H species on −Zn−O− sites, and then formed reaction intermediates as in methanol to olefins reaction. After optimizing the calcination temperature of ZA-SP oxide, weight ratio of ZA-SP to SAPO-18, reaction temperature, and gas hourly space velocity, the ZA-SP/SAPO-18 bifunctional catalyst exhibits the highest light olefins space time yield of 10.0 mmol·gcat−1·h−1 at a CO conversion of 40.2 %, which outperforms the previous reported values.
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
安琦发布了新的文献求助10
2秒前
紫色琉璃脆脆鲨完成签到,获得积分10
3秒前
CodeCraft应助gmy采纳,获得10
4秒前
6秒前
弧线完成签到,获得积分10
6秒前
爆米花应助外向的如柏采纳,获得10
7秒前
领导范儿应助科研通管家采纳,获得10
8秒前
8秒前
8秒前
8秒前
8秒前
上官若男应助科研通管家采纳,获得10
8秒前
8秒前
8秒前
8秒前
打打应助科研通管家采纳,获得10
8秒前
8秒前
9秒前
大个应助科研通管家采纳,获得10
9秒前
完美世界应助科研通管家采纳,获得10
9秒前
9秒前
Lucas应助科研通管家采纳,获得10
9秒前
9秒前
PP发布了新的文献求助10
9秒前
LDX完成签到,获得积分10
9秒前
jj完成签到,获得积分10
10秒前
11秒前
准准完成签到,获得积分20
11秒前
14秒前
15秒前
张牧之发布了新的文献求助20
15秒前
徐华完成签到,获得积分10
16秒前
Miko关注了科研通微信公众号
17秒前
17秒前
qqqqqqqw发布了新的文献求助10
18秒前
美丽怜容完成签到,获得积分10
19秒前
SciGPT应助张朔采纳,获得10
19秒前
20秒前
21秒前
健忘曼彤发布了新的文献求助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
PowerCascade: A Synthetic Dataset for Cascading Failure Analysis in Power Systems 2000
The Composition and Relative Chronology of Dynasties 16 and 17 in Egypt 1500
Picture this! Including first nations fiction picture books in school library collections 1500
Signals, Systems, and Signal Processing 610
Unlocking Chemical Thinking: Reimagining Chemistry Teaching and Learning 555
Scientific Writing and Communication: Papers, Proposals, and Presentations 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 6370271
求助须知:如何正确求助?哪些是违规求助? 8184235
关于积分的说明 17266184
捐赠科研通 5424858
什么是DOI,文献DOI怎么找? 2870051
邀请新用户注册赠送积分活动 1847049
关于科研通互助平台的介绍 1693820