谷歌Chrome浏览器插件
订阅小程序
在清言上使用

Bifunctional electroreduction catalysts of NiFe alloy on N-doped carbon toward industrial-level CO2 conversion powered by Zn-air batteries

Songjiang Wu, Haiyan Chen,Chunguang Jia, Li Liao,Kai Chen,Suqin Ci,Qiuhua Xu,Zhenhai Wen

INORGANIC CHEMISTRY FRONTIERS(2023)

引用 0|浏览5
暂无评分
摘要
We present a facile pyrolysis method for the synthesis of nitrogen-doped carbon-supported NiFe alloys (NiFe-NC) that exhibit excellent electrocatalytic activity for both the CO2 reduction reaction (CO2RR) and the oxygen reduction reaction (ORR). Notably, the NiFe-NC catalyst demonstrates an unprecedented CO2RR activity with a CO faradaic efficiency (FE) of 93.42% at -0.58 V vs. RHE. In addition, NiFe-NC in a flow cell reactor achieves an industrial current density of 241.09 mA cm(-2) with a high CO FE of 91.6%. Furthermore, the NiFe-NC catalyst shows an impressive ORR performance, with an onset potential of 0.967 V vs. RHE and a half-wave potential of 0.867 V vs. RHE, which is comparable to that of commercial Pt/C catalysts. We demonstrate the potential of NiFe-NC as a cathode material in Zn-air batteries (ZABs), achieving a maximum power density of 185.92 mW cm(-2). Importantly, a self-driven CO2 flow electrolysis system powered by two series-connected NiFe-NC-based ZABs is designed. This innovative system demonstrates high efficiency in converting CO2 to CO, with a continuous operation time of up to 27 h. According to theoretical calculations, the NiFe-NC catalyst contains Ni-ApyNH and Fe-GN sites, which exhibit remarkable activity in ORR and CO2RR, respectively. The superior bifunctional electrocatalytic performance of NiFe-NC makes it a promising candidate for a wide range of applications. We anticipate that the results of our approach and the exploration of the exact active site of the catalyst will stimulate further studies on the development of efficient electrocatalysts for energy conversion and storage.
更多
查看译文
关键词
bifunctional electroreduction catalysts,nife alloy,co2,n-doped,industrial-level,zn-air
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要