Thesis - PEM Electrolyser 3D-Simulation

According to the permanently increasing demand for H2 in the green energy industry, Polymer Electrolyte Membrane fuel electrolyzer technology is gaining more and more attention. Advanced machine learning technology should be established on a parameterized CFD modeling and simulation approach to magnify the performance improvement potential based on shape and material parameter optimization. Utilizing existing CFD capabilities and features as well as automatisms from different industrial applications, a parameterized cell segment and later a full cell model should be established to feed known as well as new AI methods. Automation of CFD Meshing on segment and full cell models Automation of Simulation Setup and Postprocessing Assessment of performance and electrochemical aspects by AVL Fire-M Compiling parameter sets as basis to feed AI optimizing tools Documentation of the work and presentation to the team members