journal article·2024-04-24

Water Condensation in the Nanoscale Pores of Pt/C Catalyst Particles and Its Impact on Catalyst Utilization: A Simulation Based on a Reconstructed Structure from Nanoimaging

Clint John Cortes Otic, Shota Katayama, Masazumi Arao, Masashi Matsumoto, Hideto Imai, Ikuya Kinefuchi

ACS Applied Materials & Interfaces· Volume 16· Issue 16
Publisher page

Abstract

In polymer electrolyte membrane fuel cells, carbon-supported platinum (Pt/C) catalyst particles require sufficient water condensation within the nanoscale pores to effectively utilize the interior Pt catalysts. Since experimental visualizations with nanoscale precision of this phenomenon are not yet possible, we utilized a Pt/C catalyst particle reconstructed from segmented nanoimaging of a catalyst powder, which served as the computational domain for lattice density functional theory (LDFT) simulation of water condensation. Paired with experimental water uptake data, LDFT successfully simulated high-resolution water condensation, capturing both thin-film and capillary water condensation phenomena. Using a simple proton movement method within the water network, we reproduced the Pt utilization data from a CO stripping experiment. Our findings highlight that at low relative humidity (RH), Pt utilization is influenced by thin water film formations, mainly dictated by the wettability properties of surfaces within primary pores and the Pt/C catalyst particle’s exterior. Conversely, at high RH, Pt utilization is attributed to capillary water condensation in medium-to-large sized pores. This approach contributes a qualitative and quantitative discussion on hypotheses regarding the mechanism of Pt utilization, supporting recent studies (e.g., Girod, R.; Nat. Catal. 2023, 6, (5), 383–391).
Source: openalex_inverted_index · Quality: baseline

Research context

OpenAlex topics: Fuel Cells and Related Materials · Electrocatalysts for Energy Conversion · Advancements in Solid Oxide Fuel Cells

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

Affiliations

The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8656, Japan

FC-Cubic, Nesrad, 3147 Shimomukoyama-cho, Kofu, Yamanashi 400-1507, Japan

Funding

New Energy and Industrial Technology Development Organization

References (58)

Show source-provided references
1. 10.1007/s11708-017-0490-610.1007/s11708-017-0490-6 ↗
2. 10.1021/acs.jpcc.1c0767010.1021/acs.jpcc.1c07670 ↗
3. 10.1021/acs.jpcc.0c0365110.1021/acs.jpcc.0c03651 ↗
4. 10.1016/j.jcat.2022.09.01910.1016/j.jcat.2022.09.019 ↗
5. 10.1016/j.electacta.2010.07.07110.1016/j.electacta.2010.07.071 ↗
6. 10.1038/s41467-022-33892-810.1038/s41467-022-33892-8 ↗
7. 10.1149/2.072308jes10.1149/2.072308jes ↗
8. 10.1021/am200590w10.1021/am200590w ↗
9. 10.1002/aenm.20210102510.1002/aenm.202101025 ↗
10. 10.1016/j.jelechem.2020.11425010.1016/j.jelechem.2020.114250 ↗
11. 10.1021/acsenergylett.8b0018610.1021/acsenergylett.8b00186 ↗
12. 10.1021/acsaem.1c0283610.1021/acsaem.1c02836 ↗
13. 10.1021/acsaem.0c0284110.1021/acsaem.0c02841 ↗
14. 10.1021/acsami.0c0698110.1021/acsami.0c06981 ↗
15. 10.1021/acsami.2c1652410.1021/acsami.2c16524 ↗
16. 10.1149/2.0541803jes10.1149/2.0541803jes ↗
17. 10.1016/j.jpowsour.2016.02.09110.1016/j.jpowsour.2016.02.091 ↗
18. 10.1149/1.355690610.1149/1.3556906 ↗
19. 10.1149/2.0311810jes10.1149/2.0311810jes ↗
20. 10.1149/1945-7111/ab819c10.1149/1945-7111/ab819c ↗
21. 10.1016/j.apenergy.2022.11955310.1016/j.apenergy.2022.119553 ↗
22. 10.1016/j.coelec.2018.11.01510.1016/j.coelec.2018.11.015 ↗
23. 10.1149/1945-7111/abe28e10.1149/1945-7111/abe28e ↗
24. 10.1038/s41427-020-0223-x10.1038/s41427-020-0223-x ↗
25. 10.1039/c4ra00261j10.1039/c4ra00261j ↗
26. 10.1038/s41929-023-00947-y10.1038/s41929-023-00947-y ↗
27. Okumura, A. M.; Ida, A.; Takahashi, T.; Nakamura, K.; Yamashita, A. The Second-Generation Toyota Fuel Cell System. https://www.jsme.or.jp/english/about/awards/2021-2/award2021-nt2/ (accessed 2023-12-01).
28. 10.1016/j.electacta.2014.07.05810.1016/j.electacta.2014.07.058 ↗
29. 10.1149/1.348461210.1149/1.3484612 ↗
30. 10.1016/j.jpowsour.2019.22747910.1016/j.jpowsour.2019.227479 ↗
31. 10.1149/1.363560510.1149/1.3635605 ↗
32. 10.1149/09208.0247ecst10.1149/09208.0247ecst ↗
33. 10.1149/2.0082001JES10.1149/2.0082001JES ↗
34. 10.1021/acscatal.3c0145310.1021/acscatal.3c01453 ↗
35. 10.1021/acsnano.7b0172010.1021/acsnano.7b01720 ↗
36. 10.1021/acsaem.9b0126610.1021/acsaem.9b01266 ↗
37. 10.1021/acsaem.2c0238410.1021/acsaem.2c02384 ↗
38. 10.1021/jp410356410.1021/jp4103564 ↗
39. 10.1063/1.283728710.1063/1.2837287 ↗
40. 10.1016/j.micromeso.2012.04.04310.1016/j.micromeso.2012.04.043 ↗
41. 10.1103/PhysRevLett.87.05570110.1103/PhysRevLett.87.055701 ↗
42. 10.1088/0953-8984/14/40/31910.1088/0953-8984/14/40/319 ↗
43. 10.1103/PhysRev.87.41010.1103/PhysRev.87.410 ↗
44. 10.1063/1.488445610.1063/1.4884456 ↗
45. Lindholm E. · Sov. Phys. Usp · 1945 · 32 · 997
46. 10.1103/PhysRevE.96.04311210.1103/PhysRevE.96.043112 ↗
47. 10.1021/acs.langmuir.8b0340010.1021/acs.langmuir.8b03400 ↗
48. 10.1016/j.ijheatmasstransfer.2022.12349110.1016/j.ijheatmasstransfer.2022.123491 ↗
49. 10.1016/j.ijheatmasstransfer.2019.11927710.1016/j.ijheatmasstransfer.2019.119277 ↗
50. 10.1103/PhysRevE.66.04160210.1103/PhysRevE.66.041602 ↗
51. 10.1016/0009-2614(86)85086-210.1016/0009-2614(86)85086-2 ↗
52. 10.1149/1945-7111/ac6e8b10.1149/1945-7111/ac6e8b ↗
53. 10.1149/1945-7111/ac6e4d10.1149/1945-7111/ac6e4d ↗
54. 10.1016/j.electacta.2017.03.18810.1016/j.electacta.2017.03.188 ↗
55. 10.1016/j.electacta.2022.14085010.1016/j.electacta.2022.140850 ↗
56. 10.1063/1.45035210.1063/1.450352 ↗
57. 10.1016/j.carbon.2015.12.03610.1016/j.carbon.2015.12.036 ↗
58. 10.1021/acs.jpcc.9b0613610.1021/acs.jpcc.9b06136 ↗