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A comprehensive review of alkaline water electrolysis mathematical modeling

Author

Listed:
  • Hu, Song
  • Guo, Bin
  • Ding, Shunliang
  • Yang, Fuyuan
  • Dang, Jian
  • Liu, Biao
  • Gu, Junjie
  • Ma, Jugang
  • Ouyang, Minggao

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.

Suggested Citation

  • Hu, Song & Guo, Bin & Ding, Shunliang & Yang, Fuyuan & Dang, Jian & Liu, Biao & Gu, Junjie & Ma, Jugang & Ouyang, Minggao, 2022. "A comprehensive review of alkaline water electrolysis mathematical modeling," Applied Energy, Elsevier, vol. 327(C).
  • Handle: RePEc:eee:appene:v:327:y:2022:i:c:s0306261922013563
    DOI: 10.1016/j.apenergy.2022.120099
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    3. Daniarta, S. & Sowa, D. & Błasiak, P. & Imre, A.R. & Kolasiński, P., 2024. "Techno-economic survey of enhancing Power-to-Methane efficiency via waste heat recovery from electrolysis and biomethanation," Renewable and Sustainable Energy Reviews, Elsevier, vol. 194(C).
    4. Yang, Fan & Li, Yuehua & Chen, Dongfang & Hu, Song & Xu, Xiaoming, 2024. "Parameter identification of PEMFC steady-state model based on p-dimensional extremum seeking via simplex tuning optimization method," Energy, Elsevier, vol. 292(C).
    5. Jianhua Lei & Hui Ma & Geng Qin & Zhihua Guo & Peizhou Xia & Chuantong Hao, 2024. "A Comprehensive Review on the Power Supply System of Hydrogen Production Electrolyzers for Future Integrated Energy Systems," Energies, MDPI, vol. 17(4), pages 1-37, February.
    6. Michael Binns, 2024. "Methods for Enhancing Electrolysis for Hydrogen Production: The Benefits of Applying Magnetic Fields," Energies, MDPI, vol. 17(19), pages 1-14, September.
    7. Sakas, Georgios & Ibáñez-Rioja, Alejandro & Pöyhönen, Santeri & Järvinen, Lauri & Kosonen, Antti & Ruuskanen, Vesa & Kauranen, Pertti & Ahola, Jero, 2024. "Sensitivity analysis of the process conditions affecting the shunt currents and the SEC in an industrial-scale alkaline water electrolyzer plant," Applied Energy, Elsevier, vol. 359(C).
    8. Leiming Wang & Wei Liu & Haipeng Sun & Li Yang & Liang Huang, 2024. "Advancements and Policy Implications of Green Hydrogen Production from Renewable Sources," Energies, MDPI, vol. 17(14), pages 1-14, July.
    9. Ibáñez-Rioja, Alejandro & Järvinen, Lauri & Puranen, Pietari & Kosonen, Antti & Ruuskanen, Vesa & Hynynen, Katja & Ahola, Jero & Kauranen, Pertti, 2023. "Off-grid solar PV–wind power–battery–water electrolyzer plant: Simultaneous optimization of component capacities and system control," Applied Energy, Elsevier, vol. 345(C).
    10. Merabet, Nour Hane & Kerboua, Kaouther & Hoinkis, Jan, 2024. "Hydrogen production from wastewater: A comprehensive review of conventional and solar powered technologies," Renewable Energy, Elsevier, vol. 226(C).

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