As decarbonization progresses within the electricity and heating sector the energy system shows increasing numbers of sector-coupling elements. This trend will be enhanced when emissions within the mobility sector, which is right at the beginning of its transformation, are also reduced by increasing electrification and utilization of alternative fuels such as e.g. hydrogen or methanol. To govern this transformation of multi-modal energy systems an integrated assessment of the electricity, heating and mobility sector is indispensable. In that regard, the energy transportation infrastructure (electricity, gas, hydrogen), as key element for the utilization of decarbonized energy carriers, faces fundamental structural challenges, which need to be considered in future energy system planning of a country.
Therefore, this thesis aims at developing a framework to assess the impact of the decarbonization of the transport sector on the overall German energy system under consideration of infrastructural elements such as electricity grid, gas grid and potential hydrogen grid as well as required fuelling and charging stations for different alternative energy carries within the transport sector. For this purpose mathematical optimization is used for developing a cost-optimized pathway for the energy system. Furthermore, to incorporate the high degree of heterogeneity within the passenger vehicle sector, an agent-based model is applied and coupled to the energy system optimization model.