Digital Twin of PEM Electrolyzers based on Phenomenological Models

This paper describes the development of a Digital Twin (DT) model for a Proton Exchange Membrane (PEM) electrolyzer based on a phenomenological model. The DT model incorporates the electrochemical and thermal aspects of the electrolyzer, driven by the energy balance of the PEM electrolyzer. The model has been validated with experimental data from a laboratory-scale electrolyzer, but can be adapted to other PEM electrolyzers through parameter adjustment, enabling the DT to act as a dynamic and adaptive asset. In this paper, we highlight the application of the DT model in the field of renewable energy. We discuss the advantages and disadvantages of the DT model, which is a key technology to exploit the data generated in the industry, which can be used for better decision-making supported by AI, modeling and simulation.