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Influence of surface defects on activity and selectivity: A quantitative study of structure sensitivity of Pd catalysts for acetylene hydrogenation

  • Wenbo Xie
  • , P. Hu*
  • *Corresponding author for this work

Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

Abstract

As one of the essential processes in the energy industry, acetylene hydrogenation reactions have been studied extensively in both experiment and theory. However, the fundamentals of structure sensitivity of acetylene hydrogenation over Pd catalysts are still debatable. Herein, a newly developed coverage-dependent microkinetic modelling is utilized to investigate the structure sensitivity of Pd catalysts. The key reaction kinetics are quantitatively examined; for example, a high ethylene activity of 3.92 s-1 and a low selectivity of 0.2 at 300 K are calculated. It is found that the Pd(211) surface is much more active than Pd(111), but exhibits a poor selectivity toward ethylene in contrast to Pd(111) that is intrinsically selective toward ethylene. The high activity of Pd(211) is primarily due to the decisive role of the coverage effect in reducing the reaction barrier of the rate-determining step, while the poor selectivity is a consequence of the inherently high chemisorption energy of ethylene. Furthermore, the ethylene selectivity is found to be more sensitive to the desorption barrier at low temperature. This work provides an atomic-scale understanding of the intrinsic selectivity of the acetylene hydrogenation embodied in different Pd structures. © The Royal Society of Chemistry 2021.
Original languageEnglish
Pages (from-to)5212-5222
Number of pages11
JournalCatalysis Science & Technology
Volume11
Issue number15
Online published7 Jun 2021
DOIs
Publication statusPublished - 7 Aug 2021
Externally publishedYes

Funding

We are grateful for computational support from the UK national high-performance computing service, ARCHER, for which access was obtained via the UKCP consortium and funded by the EPSRC grant ref EP/P022561/1. We are grateful to the UK Materials and Molecular Modelling Hub for computational resources, partially funded by the EPSRC (EP/ P020194/1). We are grateful for access to the Queen's University Belfast Kelvin HPC service, which is partially funded by the ESPRC (EP/T022175/1). We thank Dr. Zihao Yao for the informative dissections.

Publisher's Copyright Statement

  • This full text is made available under CC-BY 3.0. https://creativecommons.org/licenses/by/3.0/

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