journal article·2018-05-24

First-Principles and Microkinetic Simulation Studies of the Structure Sensitivity of Cu Catalyst for Methanol Steam Reforming

Sha-Sha Wang, Xiang-Kui Gu, Hai-Yan Su, Wei-Xue Li

The Journal of Physical Chemistry C· Volume 122· Issue 20
Publisher page

Abstract

High CO 2 and H 2 selectivity are important issues for methanol steam reforming (MSR) to provide H 2 as a clean energy carrier. The structure sensitivity and the factors governing the activity and selectivity for MSR on Cu catalysts are systematically investigated using density functional theory calculations and microkinetic simulation. Potential energy surfaces including water dissociation, methanol dehydrogenation, formaldehyde desorption and coupling with oxygen-containing intermediates, and formation of hydrogen and carbon dioxide are calculated over Cu(111), (100), (221), (211), and (110) surfaces, respectively. It is found that Cu(110) facet is the most active and selective toward carbon dioxide; Cu(221) is also active but highly selective toward formaldehyde, whereas Cu(111) is nearly inactive. Degree of rate control analysis shows that the activity is controlled mainly by methanol dehydrogenation to formaldehyde, whereas the degree of selectivity control shows that the selectivity toward formaldehyde or carbon dioxide depends sensitively on competition between formaldehyde desorption and coupling with surface oxygen. For Cu(110), abundance of both methoxy and oxygen as well as available vacant sites key for its high activity and selectivity toward carbon dioxide, whereas lack of oxygen on Cu(221) makes the corresponding surface highly selective for formaldehyde. The present work highlights the great influence of Cu surface orientations on the activity and selectivity for MSR.
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Research context

OpenAlex topics: Catalysts for Methane Reforming · Catalytic Processes in Materials Science · Catalysis and Oxidation Reactions

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

State Key Laboratory of Catalysis, State Key Laboratory of Molecular Reaction Dynamics, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian 110623, China

University of Chinese Academy of Sciences, Shijingshan District, Beijing 100049, China

Department of Chemical Engineering and Materials Science, Wayne State University, Detroit, Michigan 48202, United States

Department of Chemical Physics, School of Chemistry and Materials Science, iChEM, University of Science and Technology of China, Hefei 230026, China

CAS Excellence Center for Nanoscience, Hefei National Laboratory for Physical Sciences at Microscale, Hefei 230026, China

Funding

Ministry of Science and Technology of the People's Republic of China · National Natural Science Foundation of China · Chinese Academy of Sciences

References (60)

Show source-provided references
1. 10.1038/3510462010.1038/35104620 ↗
2. 10.1038/ncomms224210.1038/ncomms2242 ↗
3. 10.1021/cr050198b10.1021/cr050198b ↗
4. 10.1038/nature2167210.1038/nature21672 ↗
5. 10.1246/cl.1985.75910.1246/cl.1985.759 ↗
6. 10.1016/s0926-860x(98)00298-110.1016/s0926-860x(98)00298-1 ↗
7. 10.1016/s0926-860x(98)00299-310.1016/s0926-860x(98)00299-3 ↗
8. 10.1016/s0920-5861(96)00195-210.1016/s0920-5861(96)00195-2 ↗
9. 10.1021/jp206511q10.1021/jp206511q ↗
10. 10.1021/jp107678d10.1021/jp107678d ↗
11. 10.1021/acs.jpcc.7b0770310.1021/acs.jpcc.7b07703 ↗
12. 10.1021/cs200311t10.1021/cs200311t ↗
13. 10.1016/0926-860x(93)85197-w10.1016/0926-860x(93)85197-w ↗
14. 10.1039/c1cp20067d10.1039/c1cp20067d ↗
15. 10.1016/j.ijhydene.2013.03.02310.1016/j.ijhydene.2013.03.023 ↗
16. 10.1006/jcat.2001.332210.1006/jcat.2001.3322 ↗
17. 10.1039/c4ta04790g10.1039/c4ta04790g ↗
18. 10.1016/j.jcat.2015.06.02010.1016/j.jcat.2015.06.020 ↗
19. 10.1002/anie.20090581510.1002/anie.200905815 ↗
20. 10.1016/j.apcata.2010.03.00410.1016/j.apcata.2010.03.004 ↗
21. 10.1016/j.jcat.2012.08.00810.1016/j.jcat.2012.08.008 ↗
22. 10.1021/cs500740u10.1021/cs500740u ↗
23. 10.1126/science.106932510.1126/science.1069325 ↗
24. 10.1016/j.jcat.2008.05.02410.1016/j.jcat.2008.05.024 ↗
25. 10.1021/jp808211q10.1021/jp808211q ↗
26. 10.1063/1.328168810.1063/1.3281688 ↗
27. 10.1021/jp101594z10.1021/jp101594z ↗
28. 10.1103/physrevlett.77.386510.1103/physrevlett.77.3865 ↗
29. 10.1103/physrevb.45.1324410.1103/physrevb.45.13244 ↗
30. 10.1088/0953-8984/22/2/02220110.1088/0953-8984/22/2/022201 ↗
31. 10.1103/physrevb.83.19513110.1103/physrevb.83.195131 ↗
32. 10.1103/physrevb.63.22410610.1103/physrevb.63.224106 ↗
33. 10.1103/physrevb.13.518810.1103/physrevb.13.5188 ↗
34. 10.1063/1.132967210.1063/1.1329672 ↗
35. 10.1063/1.132322410.1063/1.1323224 ↗
36. 10.1007/s00214-012-1118-x10.1007/s00214-012-1118-x ↗
37. 10.1039/c3nr03496h10.1039/c3nr03496h ↗
38. Jansen, A. P. J. An Introduction to Kinetic Monte Carlo Simulations of Surface Reactions; Springer, 2012; p 856.10.1007/978-3-642-29488-4 ↗
39. 10.1002/anie.20140652110.1002/anie.201406521 ↗
40. 10.1021/acscatal.5b0139110.1021/acscatal.5b01391 ↗
41. 10.1007/bf0149228810.1007/bf01492288 ↗
42. 10.1006/jcat.2001.339610.1006/jcat.2001.3396 ↗
43. 10.1021/ja900009710.1021/ja9000097 ↗
44. 10.1016/j.jcat.2003.10.00410.1016/j.jcat.2003.10.004 ↗
45. 10.1126/science.121983110.1126/science.1219831 ↗
46. 10.1021/ja076823710.1021/ja0768237 ↗
47. 10.1016/j.susc.2009.04.01110.1016/j.susc.2009.04.011 ↗
48. 10.1021/jz101150w10.1021/jz101150w ↗
49. 10.1016/0039-6028(85)91077-510.1016/0039-6028(85)91077-5 ↗
50. 10.1021/nn402055k10.1021/nn402055k ↗
51. 10.1016/j.ijhydene.2013.11.04810.1016/j.ijhydene.2013.11.048 ↗
52. 10.1006/jcat.2002.358610.1006/jcat.2002.3586 ↗
53. 10.1021/la049377z10.1021/la049377z ↗
54. 10.1016/j.jcat.2005.02.00910.1016/j.jcat.2005.02.009 ↗
55. 10.1016/s0926-860x(01)00733-510.1016/s0926-860x(01)00733-5 ↗
56. 10.1021/jp055689e10.1021/jp055689e ↗
57. 10.1116/1.58185610.1116/1.581856 ↗
58. 10.1021/jp002644z10.1021/jp002644z ↗
59. 10.1002/anie.20161134210.1002/anie.201611342 ↗
60. 10.1002/anie.20110659110.1002/anie.201106591 ↗