4.8 Article

Understanding the Product Selectivity of Syngas Conversion on ZnO Surfaces with Complex Reaction Network and Structural Evolution

期刊

ACS CATALYSIS
卷 11, 期 19, 页码 12264-12273

出版社

AMER CHEMICAL SOC
DOI: 10.1021/acscatal.1c02111

关键词

density functional theory; reaction network; graph theory; reaction phase diagram; ZnO; oxygen vacancy; microkinetic model

资金

  1. DNL Cooperation Fund, CAS [DNL202003]
  2. National Natural Science Foundation of China [91945302, 21802124, 91845103]
  3. Strategic Priority Research Program of the Chinese Academy of Sciences [XDB36030200]
  4. LiaoNing Revitalization Talents Program [XLYC1907099]

向作者/读者索取更多资源

This study systematically investigates the activity and selectivity of syngas conversion over zinc oxide (ZnO) catalyst through graph theory and density functional theory. It reveals that the evolution of ZnO surfaces plays a crucial role in product selectivity, with low oxygen vacancy concentration favoring methanol production.
Recently, a bifunctional oxide-zeolite (OX-ZEO) catalyst was widely studied experimentally, which can selectively convert syngas to light olefins. The performance of OX-ZEO is exceptional, while the mechanism is controversial. In this work, we have first developed an algorithm based on graph theory to establish a complete reaction network for syngas conversion to methanol, ketene, and methane. Combined with density functional theory (DFT) calculations, the activity and selectivity of syngas conversion over zinc oxide (ZnO) are systematically studied by a reaction phase diagram. The key intermediate, ketene, is observed in experiments, which has been first confirmed theoretically in this work. The evolution of ZnO surfaces is found to be a key factor of diverse product selectivity. It is found that methanol production is more favored over the ZnO surfaces with a low oxygen vacancy concentration. As the oxygen vacancy increases, the main product evolves gradually from methanol to ketene and finally to methane. Accordingly, the overall reaction activity increases too. Our prediction from the reaction phase diagram is finally verified by microkinetic modeling.

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