Optimizing Alkaline Water Electrolysis: A Dual-Model Approach for Enhanced Hydrogen Production Efficiency
Simin Luo,
Tengfei Zhang,
Hongning Xu,
Jie Zhang,
Haichao Zhao,
Jimmy Yun () and
Hong Zhao ()
Additional contact information
Simin Luo: Qingdao Xinde New Energy Ltd., Qingdao 266021, China
Tengfei Zhang: College of Chemical Engineer, Beijing University of Chemical Technology, Beijing 100029, China
Hongning Xu: College of Chemical Engineer, Beijing University of Chemical Technology, Beijing 100029, China
Jie Zhang: College of Chemical Engineer, Beijing University of Chemical Technology, Beijing 100029, China
Haichao Zhao: Qingdao Xinde New Energy Ltd., Qingdao 266021, China
Jimmy Yun: Qingdao Xinde New Energy Ltd., Qingdao 266021, China
Hong Zhao: College of Chemical Engineer, Beijing University of Chemical Technology, Beijing 100029, China
Energies, 2024, vol. 17, issue 21, 1-15
Abstract:
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.
Keywords: alkaline electrolysis; efficiency optimization; simulation analysis; hydrogen energy (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2024
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Citations: View citations in EconPapers (1)
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Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:17:y:2024:i:21:p:5512-:d:1513667
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