Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | 엄석기 | - |
dc.date.accessioned | 2018-07-03T07:38:09Z | - |
dc.date.available | 2018-07-03T07:38:09Z | - |
dc.date.issued | 2016-06 | - |
dc.identifier.citation | INTERNATIONAL JOURNAL OF HYDROGEN ENERGY, v. 41, NO 22, Page. 9507-9520 | en_US |
dc.identifier.issn | 0360-3199 | - |
dc.identifier.issn | 1879-3487 | - |
dc.identifier.uri | https://www.sciencedirect.com/science/article/pii/S0360319915317973?via%3Dihub | - |
dc.identifier.uri | https://repository.hanyang.ac.kr/handle/20.500.11754/72327 | - |
dc.description.abstract | In this study, a three-dimensional material network model is developed to visualize the nanoscale structures of carbon sphere-supported platinum (PVC) catalysts and to examine the effective transport paths to optimize the performance of randomly disordered, ternary phase fuel cell catalysts. The catalyst layer domain is modeled using a quasi-random stochastic Monte Carlo-based method that utilizes random number generation processes. Successful interconnections of the three catalyst components are identified, and the catalyst effectiveness is defined to statistically estimate the fraction of the fuel cell catalysts that are utilized. Various fuel cell catalyst compositions are simulated to elucidate the effects of the electron, ion, and mass transport paths on the catalyst effectiveness. The statistical data show that at low ionomer contents, the accessible pore ratio is maximized, enhancing mass transport, and the effective ionomer configuration therefore significantly affects the catalyst effectiveness. In contrast, at high ionomer volume fractions, the ionomers form agglomerate chains that effectively transport ions, whereas the average accessible pore ratios are relatively low. More importantly, this study reveals that the maximum effectiveness depends strongly on the accessible pore ratio and the optimal ionomer volume fraction is inversely proportional to the PVC volume fraction. (C) 2016 Hydrogen Energy Publications LLC. Published by Elsevier Ltd. All rights reserved. | en_US |
dc.description.sponsorship | This study was supported by the New & Renewable Energy Program of the Korean Institute of Energy Technology Evaluation and Planning (KETEP) through grants from the Ministry of Trade, Industry & Energy, Republic of Korea (Nos. 2011T100100314 and 20143010031880). The authors also thank Drs. Young-Gi Yoon and Tae-Young Kim for useful discussions of the statistical data and for the SEM images of the carbon sphere-supported catalyst layers. | en_US |
dc.language.iso | en | en_US |
dc.publisher | PERGAMON-ELSEVIER SCIENCE LTD | en_US |
dc.subject | Quasi-random modeling | en_US |
dc.subject | Catalyst structure | en_US |
dc.subject | Stochastic material networks | en_US |
dc.subject | Carbon spheres | en_US |
dc.subject | Catalyst effectiveness | en_US |
dc.subject | Fuel cells | en_US |
dc.title | Statistical prediction of fuel cell catalyst effectiveness: Quasi-random nano-structural analysis of carbon sphere-supported platinum catalysts | en_US |
dc.type | Article | en_US |
dc.relation.no | 22 | - |
dc.relation.volume | 41 | - |
dc.identifier.doi | 10.1016/j.ijhydene.2016.04.013 | - |
dc.relation.page | 9507-9520 | - |
dc.relation.journal | INTERNATIONAL JOURNAL OF HYDROGEN ENERGY | - |
dc.contributor.googleauthor | Shin, Seungho | - |
dc.contributor.googleauthor | Kim, Ah-Reum | - |
dc.contributor.googleauthor | Um, Sukkee | - |
dc.relation.code | 2016000117 | - |
dc.sector.campus | S | - |
dc.sector.daehak | COLLEGE OF ENGINEERING[S] | - |
dc.sector.department | DIVISION OF MECHANICAL ENGINEERING | - |
dc.identifier.pid | sukkeeum | - |
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