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Modelica-based multiphysics modeling and multi-timescale dynamic analysis of a 100-kW alkaline water electrolysis system

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  • Yin, Ruilin
  • Chen, Bin
  • Sun, Li

Abstract

Alkaline water electrolysis is a promising technology to meet the large-scale and long-term energy storage demands of renewable energy resources (RESs). However, the electrolysis system is faced with varying loads due to the non-dispatchable renewable power input. To facilitate efficient transient operation and provide insights into electrochemical, thermochemical, fluidic, and gaseous domains, a multiphysics analytical model is developed for the analysis of the electrolysis system. A one-dimensional electrolyzer and the balance of pant system models such as heat exchangers, gas separators, pumps and compressors are developed using an object-oriented language Modelica. The developed models are then utilized for numerical studies and thermodynamic analysis with both steady-state and dynamic simulations. Sensitivity analysis is studied to reveal the parameters’ distribution characteristics. The steady-state analysis results show a large lye flow rate uniform the temperature distribution while enlarge the gas impurity. Considering the volume inertia and heat capacity of the system, a dynamic analysis is carried out through multiphysics including electrochemical, fluidic, gaseous and thermochemical domains. The results show heat capacity and volumetric inertia have a major influence on the response time of temperature and gas production. The research in this paper provides a reference of response characteristics for the subsequent control design.

Suggested Citation

  • Yin, Ruilin & Chen, Bin & Sun, Li, 2025. "Modelica-based multiphysics modeling and multi-timescale dynamic analysis of a 100-kW alkaline water electrolysis system," Renewable Energy, Elsevier, vol. 253(C).
    • Handle: RePEc:eee:renene:v:253:y:2025:i:c:s0960148125012820
    DOI: 10.1016/j.renene.2025.123620
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    References listed on IDEAS

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    1. Jang, Dohyung & Shin, Haeseong & Shin, Hee-Sun & Cho, Hyun-Seok & Cho, Won Chul & Kang, Sanggyu, 2026. "Dynamic modeling of alkaline water electrolysis cell with consideration of two-phase bubble transport for renewables dedicated operation," Renewable and Sustainable Energy Reviews, Elsevier, vol. 228(C).

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