A comprehensive review of alkaline water electrolysis mathematical modeling. (1st December 2022)

• Record Type: Journal Article
• Authors: Hu, Song; Guo, Bin; Ding, Shunliang; Yang, Fuyuan; Dang, Jian; Liu, Biao; Gu, Junjie; Ma, Jugang; Ouyang, Minggao
• Is Part Of: Applied energy. Volume 327(2022)
• Publication Date: 2022-12-01
• Subjects: AWE electrolyzer -- Thermodynamic model -- Electrochemical model -- Gas purity model -- Thermal model; Power (Mechanics) -- Periodicals; Energy conservation -- Periodicals; Energy conversion -- Periodicals; 621.042
• DOI: 10.1016/j.apenergy.2022.120099
• Languages: English
• ISSNs: 0306-2619

Abstract

Highlights: The mathematical modelling work about alkaline electrolysis system (AWE) is reviewed. The thermodynamic model of AWE is precise enough with little value to improve. Mechanism models of AWE electrochemical are well studied but difficult to calibrate. Mechanism model of thermal needs to be extended from the stack to system. Gas purity model is with a raising attention but bad precision and lack of research. Abstract: 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 calibration requires specialized experimental validation. Gas purity modeling research is rare, and the model prediction 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 direction for further improvement of AWE modeling.