The Design Optimisation of a Solar PV plant to power an Electrolyser for Green Hydrogen Production

This paper presents an optimized Solar Photovoltaic system that powers a 10 MW copper-chlorine proton exchange membrane electrolyzer to produce green hydrogen. An uninterruptible power supply (UPS) system is a back-up feature of the Solar PV system that guarantees steady electricity production in times of low solar energy (such as at night and in the winter). Python is utilised for the optimization process. The main goal of the optimization is to maximize the Solar PV plant's output power efficiency while taking energy costs into account, which includes things like the Levelized Cost of Energy throughout the duration of the plant's operation. The system's dispatchability and dependability are also assessed.