Issue |
E3S Web Conf.
Volume 194, 2020
2020 5th International Conference on Advances in Energy and Environment Research (ICAEER 2020)
|
|
---|---|---|
Article Number | 02021 | |
Number of page(s) | 4 | |
Section | Renewable Energy and New Energy Technology | |
DOI | https://doi.org/10.1051/e3sconf/202019402021 | |
Published online | 15 October 2020 |
Experimental investigation on the effect of mixed acids etched nickel foam electrode on performance of an alkaline direct ethanol fuel cell
1 Institute for Energy Research, Jiangsu University, 212013 Zhen jiang, China
2 School of Energy and Power Engineering, Jiangsu University, 212013 Zhen jiang, China
3 Institute of Green Chemistry and Chemical Technology, Jiangsu University, 212013 Zhenjiang, China
* Corresponding author: xuqian@ujs.edu.cn
The three-dimensional porous materials represented by nickel foam have broad application prospects in the fuel cell field due to their excellent physical properties (high conductivity, high porosity and high specific surface area, etc.). However, the smooth nickel foam skeleton not only limits the loadable amount of active materials, but also reduces the utilization efficiency of loaded active materials. Therefore, increasing the roughness of the nickel foam skeleton to improve the utilization of active materials has far-reaching significance for the practical application. In this paper, we used mixed acids solution to etch the nickel foam and investigated the effect of etched nickel foam electrode on the performance of an alkaline direct ethanol fuel cell. It was found that mixed acids etching treatment can significantly improve the roughness of nickel foam skeleton and had a great influence on the ethanol oxidation half-reaction (EOR), while the effect on the single cell performance can negligible. Therefore, we believe that the pretreatment method of nickel foam has little effect on the performance of high loading actual electrode.
© The Authors, published by EDP Sciences, 2020
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.