期刊
APPLIED ENERGY
卷 327, 期 -, 页码 -出版社
ELSEVIER SCI LTD
DOI: 10.1016/j.apenergy.2022.120099
关键词
AWE electrolyzer; Thermodynamic model; Electrochemical model; Gas purity model; Thermal model
资金
- State Key Laboratory of Automotive Safety and Energy in Tsinghua University
- Chinese State Key Laboratory of Automotive Safety and Energy under Project
- Scientific and Technological Innovation Foundation of Foshan, USTB
- National Natural Science Foundation of China
- Key R&D and Pro-motion Project in Henan Province
- Shell-Tsinghua Joint Project
- Shell
- [KFY2219]
- [BK22BE010]
- [51906225]
- [192102210225]
This review investigates and summarizes the modeling work of alkaline water electrolysis, including thermodynamic, electrochemical, thermal, and gas purity models. The effects of characteristic parameters and operating conditions on AWE performance are detailedly summarized. The strengths, weaknesses, and lacks in this research field are also pointed out.
Alkaline water electrolysis (AWE) is a relatively mature water electrolysis technology that plays an important role in large-scale green hydrogen production and electrical energy storage. Modeling is a powerful tool for the phenomenon understanding, control analysis, and optimization management of AWE. AWE has various modeling forms, but reviews summarizing the current situation and problems of modeling development are lacking. This review provides a detailed and comprehensive investigation of existing modeling efforts on thermodynamic, electrochemical, thermal, and gas purity models. In the process of investigating these models in the published reference, a concise modeling guideline was created to show the relationship between different sub-models. This review also summarized and compared the different modeling approaches for the same processes or mechanisms. On this basis, the effects of characteristic parameters and operating conditions on AWE performance were summarized in detail. Meanwhile, the strengths, weaknesses, and lacks in this research field were pointed out. Electrochemical modeling studies are comprehensive, but the accuracy of each sub-model during model cali-bration requires specialized experimental validation. Gas purity modeling research is rare, and the model pre-diction accuracy can reach a satisfactory level. The control strategy and optimization method of gas purity based on the model need to be developed urgently. Thermal modeling-related studies are rare, and the prediction accuracy still needs to be further improved. The application scope and thermal management strategy based on thermal model need to be explored in depth. This work can provide guidelines for beginners and a future di-rection for further improvement of AWE modeling.
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