阴极
阳极
阴极保护
电解
材料科学
降级(电信)
碱性电池
电极
化学工程
化学
电气工程
电解质
工程类
物理化学
作者
Yoona Kim,Sang‐Mun Jung,Kyu‐Su Kim,Hyun-Yup Kim,Jaesub Kwon,Jinhyeon Lee,Hyun‐Seok Cho,Yong‐Tae Kim
出处
期刊:JACS Au
[American Chemical Society]
日期:2022-08-22
卷期号:2 (11): 2491-2500
被引量:30
标识
DOI:10.1021/jacsau.2c00314
摘要
Growing the hydrogen economy requires improving the stability, efficiency, and economic value of water-splitting technology, which uses an intermittent power supply from renewable energy sources. Alkaline water electrolysis systems face a daunting challenge in terms of stabilizing hydrogen production under the condition of transient start-up/shut-down operation. Herein, we present a simple but effective solution for the electrode degradation problem induced by the reverse-current under transient power condition based on a fundamental understanding of the degradation mechanism of nickel (Ni). It was clearly demonstrated that the Ni cathode was irreversibly oxidized to either the β-Ni(OH)2 or NiO phases by the reverse-current flow after shut-down, resulting in severe electrode degradation. It was also determined that the potential of the Ni electrode should be maintained below 0.6 VRHE under the transient condition to keep a reversible nickel phase and an activity for the hydrogen evolution reaction. We suggest a cathodic protection approach in which the potential of the Ni electrode is maintained below 0.6 VRHE by the dissolution of a sacrificial metal to satisfy the above requirement; irreversible oxidization of the cathode is prevented by connecting a sacrificial anode to the Ni cathode. In the accelerated durability test under a simulated reverse-current condition, lead was found to be the most promising candidate for the sacrificial metal, as it is cost effective and demonstrates chemical stability in the alkaline media. A newly defined metric, a reverse-current stability factor, highlights that our system for protecting the cathode against the reverse-current is an efficient strategy for stable and cost effective alkaline hydrogen production.
科研通智能强力驱动
Strongly Powered by AbleSci AI