Hong Zhao
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Hong Zhao has a total of 6 co-authors. Here are the top co-authors by number of shared publications:
- Haichao Zhao
Qingdao Xinde New Energy Ltd., Qingdao 266021, China
1 shared publication - Hongning Xu
College of Chemical Engineer, Beijing University of Chemical Technology, Beijing 100029, China
1 shared publication - Jie Zhang
State Key Laboratory of Chemical Resource Engineering
1 shared publication - Jimmy Yun
School of Chemical Engineering, the University of New South Wales, Sydney, NSW 2052, Australia
1 shared publication - Simin Luo
Qingdao Xinde New Energy Ltd., Qingdao 266021, China
1 shared publication - Tengfei Zhang
College of Chemical Engineer, Beijing University of Chemical Technology, Beijing 100029, China
1 shared publication
Latest Publications
- Open Access
Optimizing Alkaline Water Electrolysis: A Dual-Model Approach for Enhanced Hydrogen Production Efficiency
This study develops a semi-empirical model of an alkaline water electrolyzer (AWE) based on thermodynamic and electrochemical principles to investigate cell voltage behavior during electrolysis. By importing polarization curve test data under specific operational conditions, eight undefined parameters are precisely fitted, demonstrating the model’s high accuracy in describing the voltage characteristics of alkaline electrolyzers. Additionally, an AWE system model is introduced to examine the influence of various operational parameters on system efficiency. This innovative approach not only provides detailed insights into the operational dynamics of AWE systems but also offers a valuable tool for optimizing performance and enhancing efficiency, advancing the understanding and optimization of AWE technologies.
Open AccessOptimizing Alkaline Water Electrolysis: A Dual-Model Approach for Enhanced Hydrogen Production Efficiency
This study develops a semi-empirical model of an alkaline water electrolyzer (AWE) based on thermodynamic and electrochemical principles to investigate cell voltage behavior during electrolysis. By importing polarization curve test data under specific operational conditions, eight undefined parameters are precisely fitted, demonstrating the model’s high accuracy in describing the voltage characteristics of alkaline electrolyzers. Additionally, an AWE system model is introduced to examine the influence of various operational parameters on system efficiency. This innovative approach not only provides detailed insights into the operational dynamics of AWE systems but also offers a valuable tool for optimizing performance and enhancing efficiency, advancing the understanding and optimization of AWE technologies.