Endogenous learning for green hydrogen in a sector-coupled energy model for Europe.

ABSTRACT: Many studies have shown that hydrogen could play a large role in the energy transition for hard-to-electrify sectors, but previous modelling has not included the necessary features to assess its role. They have either left out important sectors of hydrogen demand, ignored the temporal variability in the system or neglected the dynamics of learning effects. We address these limitations and consider learning-by-doing for the full green hydrogen production chain with different climate targets in a detailed European sector-coupled model. Here, we show that in the next 10 years a faster scale-up of electrolysis and renewable capacities than envisaged by the EU in the REPowerEU Plan can be cost-optimal to reach the strictest +1.5^oC target. This reduces the costs for hydrogen productio

SUBMITTER: Zeyen E 

PROVIDER: S-EPMC10290158 | biostudies-literature | 2023 Jun

REPOSITORIES: biostudies-literature