Simulation einer effizienten Betriebsstrategie für systemdienliche PEM-Elektrolyse

This thesis describes a Python-based model for a PEM electrolyzer, designed for the most precise possible integration into a regenerative energy system. The focus is on the detailed mapping of component loss currents, the analysis of the efficiency curve in different operating states, and a specific investigation of the individual electrolyzer stacks. The model created makes it possible to evaluate different operating strategies through simulations in order to identify an operating mode that is both economical and beneficial to the system. This results in an operating mode for a PEM electrolyzer in which the electrolyzer only ramps up to nominal load during power generation peaks and otherwise operates at partial load with optimum specific energy consumption. In this way, over 4000 full-load hours per year can be generated and the generation peaks of wind energy can be capped at the same time. This capping of generation peaks can relieve the energy system.