Optimization of dimensioning and control of a hydrogen-based hybrid energy storage system based on meta-modeling

Hydrogen is a promising energy carrier that has received more attention in recent years. Through electrolysis, excess renewable energy can be converted into hydrogen, stored, converted back into electricity at a later time, or used in other energy sectors. Storage systems based on this principle can be implemented at different scales, ranging from self-sufficient energy supply for several houses, to stabilization of energy supply networks. PhD student Michael Bareev-Rudy is working on the meta-modeling of hydrogen-based hybrid storage systems to enable optimal sizing and control for different scenarios.