Graphene nanoplatelets-carbon black hybrids as an efficient catalyst support for Pt nanoparticles for polymer electrolyte membrane fuel cells
| Autor: | Ayşe Bayrakçeken Yurtcan, Begüm Yarar Kaplan, Elif Daş, Selmiye Alkan Gürsel |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
T174.7 Nanotechnology
Materials science 020209 energy chemistry.chemical_element Proton exchange membrane fuel cell 02 engineering and technology Electrolyte TP Chemical technology 7. Clean energy Catalysis T Technology (General) Contact angle QD450-801 Physical and theoretical chemistry 0202 electrical engineering electronic engineering information engineering 0601 history and archaeology chemistry.chemical_classification Supercritical carbon dioxide 060102 archaeology Renewable Energy Sustainability and the Environment Q Science (General) 06 humanities and the arts Polymer Carbon black QD Chemistry chemistry Chemical engineering Carbon |
| Zdroj: | Renewable Energy. 139:1099-1110 |
| ISSN: | 0960-1481 |
| DOI: | 10.1016/j.renene.2019.02.137 |
| Popis: | In this work, hybrid support consisting of carbon black (CB) and graphene nanoplatelets (GNPs) is designed and prepared with different percentages for loading Pt nanoparticles. For this purpose, GNPs and CB in various ratios are homogeneously mixed and then Pt nanoparticles are obtained by using supercritical carbon dioxide deposition (scCO(2)) technique. According to our approach, hybridization of GNPs with CB not only can prevent aggregation of these carbon materials, but also reach full utilization of synergistic effect between them. The outstanding characteristics of these hybrids and hybrid supported Pt catalysts have been investigated by using BET, XRD, TGA, TEM, SEM and contact angle techniques. In addition, cycling voltammetry and PEM fuel cell measurements also have been performed. All these results have been discussed based on the change in the pore structure, surface area, morphology of the GNPs due to the addition of various amounts CB. (C) 2019 Elsevier Ltd. All rights reserved. |
| Databáze: | OpenAIRE |
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