Alkaline electrolysis for green hydrogen production: A novel, simple model for thermo-electrochemical coupled system analysis

Alkaline water electrolysis (AWE) is the most mature electrochemical technology for hydrogen production from renewable electricity. Thus, its mathematical modeling is an important tool to provide new perspectives for the design and optimization of energy storage and decarbonization systems. However, current models rely on numerous empirical parameters and neglect variations of temperature and concentration alongside the electrolysis cell, which can impact the application and reliability of the simulation results. Thus, this study proposes a simple four-parameter semi-empirical model for AWE system analysis, which relies on minimal fitting data, while providing reliable extrapolation results. In addition, the effect of model dimensionality (i.e., 0D, 1/2D and 1D) are carefully assessed in the optimization of an AWE system. The results indicate that the proposed model can accurately reproduce literature data from four previous works ( R 2 ≥ 0 . 98 ), as well as new experimental data. In the system optimization, the trade-offs existing in the lye cooling sizing highlight that maintaining a low temperature difference in AWE stacks (76–80 °C) leads to higher efficiencies and lower hydrogen costs. • A novel four-parameter semi-empirical model is proposed. • Model validated using both literature and experimental data. • Model proved easy to implement yet does not lack in accuracy. • 0D model deviates while the 1/2D model has similar values to the 1D model. • Optimal Temperature difference control in AWE stacks (76–80 °C).