1. Modelling of state-of-the-art technologies to obtain an estimate for the current LCOH2 2. Modelling of hypothetical future technologies to obtain an estimate for a potential future LCOH2 3. Learning curve analysis based on learning rates to model the decrease of LCOH2 over time Modelling of state-of-the-art or potential future technologies provide valuable single-point cost estimates and also reveal the impact of individual parameters through sensitivity analysis. However, they do not capture the trajectory of technological progress. Learning curve analysis does model the evolution of LCOH2 over time but if faces two important limitations: firstly, historical data is often needed to derive reasonable estimates for the learning rates. It is therefore most reliable for mature technologies and challenging to apply for technologies which have not yet been widely deployed.