共 41 条
Optimizing Alkaline Water Electrolysis: A Dual-Model Approach for Enhanced Hydrogen Production Efficiency
被引:5
作者:

Luo, Simin
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机构:
Qingdao Xinde New Energy Ltd, Qingdao 266021, Peoples R China Qingdao Xinde New Energy Ltd, Qingdao 266021, Peoples R China

Zhang, Tengfei
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机构:
Beijing Univ Chem Technol, Coll Chem Engineer, Beijing 100029, Peoples R China Qingdao Xinde New Energy Ltd, Qingdao 266021, Peoples R China

Xu, Hongning
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h-index: 0
机构:
Beijing Univ Chem Technol, Coll Chem Engineer, Beijing 100029, Peoples R China Qingdao Xinde New Energy Ltd, Qingdao 266021, Peoples R China

Zhang, Jie
论文数: 0 引用数: 0
h-index: 0
机构:
Beijing Univ Chem Technol, Coll Chem Engineer, Beijing 100029, Peoples R China Qingdao Xinde New Energy Ltd, Qingdao 266021, Peoples R China

Zhao, Haichao
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机构:
Qingdao Xinde New Energy Ltd, Qingdao 266021, Peoples R China Qingdao Xinde New Energy Ltd, Qingdao 266021, Peoples R China

Yun, Jimmy
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机构:
Qingdao Xinde New Energy Ltd, Qingdao 266021, Peoples R China Qingdao Xinde New Energy Ltd, Qingdao 266021, Peoples R China

Zhao, Hong
论文数: 0 引用数: 0
h-index: 0
机构:
Beijing Univ Chem Technol, Coll Chem Engineer, Beijing 100029, Peoples R China Qingdao Xinde New Energy Ltd, Qingdao 266021, Peoples R China
机构:
[1] Qingdao Xinde New Energy Ltd, Qingdao 266021, Peoples R China
[2] Beijing Univ Chem Technol, Coll Chem Engineer, Beijing 100029, Peoples R China
来源:
关键词:
alkaline electrolysis;
efficiency optimization;
simulation analysis;
hydrogen energy;
SIMULATION;
D O I:
10.3390/en17215512
中图分类号:
TE [石油、天然气工业];
TK [能源与动力工程];
学科分类号:
0807 ;
0820 ;
摘要:
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.
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页数:15
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