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Modelling and simulation of an alkaline electrolyser cell

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  • Abdin, Z.
  • Webb, C.J.
  • Gray, E.MacA.

Abstract

An enhanced one-dimensional model has been developed for an alkaline electrolyser cell for hydrogen production, based on linked modular mathematical models in Simulink®. Where possible, the model parameters were derived on a physical basis and related to the materials of construction and the configuration of its components. This means that the model can be applied to many alkaline electrolyser cells, whereas existing semi-empirical models were generally developed for a specific cell. In addition to predicting the overall equilibrium electrolyser cell performance, the model is a powerful tool for understanding the contributions to cell voltage from the various internal components. It is thus useful as a guide to researchers aiming for improved performance through modified geometry and enhanced electrode materials. The model performed very well when compared to published models tested against the same sets of experimental data.

Suggested Citation

  • Abdin, Z. & Webb, C.J. & Gray, E.MacA., 2017. "Modelling and simulation of an alkaline electrolyser cell," Energy, Elsevier, vol. 138(C), pages 316-331.
    • Handle: RePEc:eee:energy:v:138:y:2017:i:c:p:316-331
    DOI: 10.1016/j.energy.2017.07.053
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    References listed on IDEAS

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    1. Agbossou, Kodjo & Kolhe, Mohan Lal & Hamelin, Jean & Bernier, Étienne & Bose, Tapan K., 2004. "Electrolytic hydrogen based renewable energy system with oxygen recovery and re-utilization," Renewable Energy, Elsevier, vol. 29(8), pages 1305-1318.
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    3. Abdin, Z. & Webb, C.J. & Gray, E.MacA., 2015. "Solar hydrogen hybrid energy systems for off-grid electricity supply: A critical review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 52(C), pages 1791-1808.
    4. El-Askary, W.A. & Sakr, I.M. & Ibrahim, K.A. & Balabel, A., 2015. "Hydrodynamics characteristics of hydrogen evolution process through electrolysis: Numerical and experimental studies," Energy, Elsevier, vol. 90(P1), pages 722-737.
    5. Abdin, Z. & Webb, C.J. & Gray, E.MacA., 2016. "PEM fuel cell model and simulation in Matlab–Simulink based on physical parameters," Energy, Elsevier, vol. 116(P1), pages 1131-1144.
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    Cited by:

    1. José-Luis Casteleiro-Roca & Francisco José Vivas & Francisca Segura & Antonio Javier Barragán & Jose Luis Calvo-Rolle & José Manuel Andújar, 2020. "Hybrid Intelligent Modelling in Renewable Energy Sources-Based Microgrid. A Variable Estimation of the Hydrogen Subsystem Oriented to the Energy Management Strategy," Sustainability, MDPI, vol. 12(24), pages 1-18, December.
    2. Zheng, Yi & You, Shi & Bindner, Henrik W. & Münster, Marie, 2022. "Optimal day-ahead dispatch of an alkaline electrolyser system concerning thermal–electric properties and state-transitional dynamics," Applied Energy, Elsevier, vol. 307(C).
    3. Huang, Danji & Xiong, Binyu & Fang, Jiakun & Hu, Kewei & Zhong, Zhiyao & Ying, Yuheng & Ai, Xiaomeng & Chen, Zhe, 2022. "A multiphysics model of the compactly-assembled industrial alkaline water electrolysis cell," Applied Energy, Elsevier, vol. 314(C).
    4. 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).
    5. Jeddizahed, Javad & Webley, Paul A. & Hughes, Thomas J., 2024. "Integrating alkaline electrolysis with oxyfuel combustion for hydrogen and electricity production," Applied Energy, Elsevier, vol. 361(C).

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