Three-dimensional network of graphene grown with carbon nanotubes as carbon support for fuel cells
Jing-Yi Jhan,
Yu-Wei Huang,
Chun-Han Hsu,
Hsisheng Teng,
Daniel Kuo and
Ping-Lin Kuo
Energy, 2013, vol. 53, issue C, 282-287
Abstract:
A thermally reduced graphene oxide (TRGO) grown with carbon nanotubes composite (G-CNT) was utilized as three-dimensional highly conductive carbon scaffolds, where a large amount of small and homogeneous Pt nanoparticles (from 3.37 ± 1.22 to 4.24 ± 1.83 nm) was directly synthesized on G-CNT to acquire a new type of catalyst (Pt/G-CNT). Meanwhile, Pt nanoparticles loaded on TRGO (Pt/TRGO) and on TRGO blended with carbon nanotubes (Pt/G-b-CNT) were prepared for comparison. The G-CNT showed a very high electrical conductivity (144.4 S cm−1) compared to the G-b-CNT (67.5 S cm−1) and TRGO (9.1 S cm−1). In contrast to Pt/G-b-CNT (36.8 m2 g−1) and Pt/TRGO (28.1 m2 g−1), Pt/G-CNT showed a very high electrochemically active surface area (77.4 m2 g−1). As these catalysts were utilized as the anode for the fuel cell, the maximum power density value for Pt/G-CNT (32.0 mW cm−2) was about 65% and 74% higher than that of Pt/G-b-CNT (19.4 mW cm−2) and Pt/TRGO (18.4 mW cm−2), respectively, and 26% higher than that of E-TEK (25.4 mW cm−2).
Keywords: Fuel cells; Electrode; Graphene; Carbon nanotubes; Electrocatalysis (search for similar items in EconPapers)
Date: 2013
References: View complete reference list from CitEc
Citations: View citations in EconPapers (7)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0360544213001783
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:53:y:2013:i:c:p:282-287
DOI: 10.1016/j.energy.2013.03.002
Access Statistics for this article
Energy is currently edited by Henrik Lund and Mark J. Kaiser
More articles in Energy from Elsevier
Bibliographic data for series maintained by Catherine Liu ().