谷歌浏览器插件
订阅小程序
在清言上使用

Improving alkane dehydrogenation activity on gamma-Al2O3 through Ga doping

CATALYSIS SCIENCE & TECHNOLOGY(2020)

引用 14|浏览2
暂无评分
摘要
Nonoxidative alkane dehydrogenation is a promising route to produce olefins, commonly used as building blocks in the chemical industry. Metal oxides, including gamma-Al2O3 and beta-Ga2O3, are attractive dehydrogenation catalysts due to their surface Lewis acid-base properties. In this work, we use density functional theory (DFT) to investigate nonoxidative dehydrogenation of ethane, propane, and isobutane on the Ga-doped and undoped (100) gamma-Al(2)O(3)via the concerted and stepwise mechanisms. We revealed that doping (100) gamma-Al2O3 with Ga atoms has significant improvement in the dehydrogenation activity by decreasing the C-H activation barriers of the kinetically favored concerted mechanism and increasing the overall dehydrogenation turnover frequencies. We identified the dissociated H-2 binding energy as an activity descriptor for alkane dehydrogenation, accounting for the strength of the Lewis acidity and basicity of the active sites. We demonstrate linear correlations between the dissociated H-2 binding energy and the activation barriers of the rate determining steps for both the concerted and stepwise mechanisms. We further found the carbenium ion stability to be a quantitative reactant-type descriptor, correlating with the C-H activation barriers of the different alkanes. Importantly, we developed an alkane dehydrogenation model that captures the effect of catalyst acid-base surface properties (through dissociated H-2 binding energy) and reactant substitution (through carbenium ion stability). Additionally, we show that the dissociated H-2 binding energy can be used to predict the overall dehydrogenation turnover frequencies. Taken together, our developed methodology facilitates the screening and discovery of alkane dehydrogenation catalysts and demonstrates doping as an effective route to enhance catalytic activity.
更多
查看译文
关键词
alkane dehydrogenation activity,doping
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要