Design Optimization of Cross-Sectoral Energy Systems including E-Mobility Charging Infrastructures for Residential Districts

In this paper, we present a design optimization model for residential cross-sectoral energy systems that include generation and storage technologies as well as a charging infrastructure for electric vehicles (EV). Utilizing an integrated consider-ation of the electricity, heat and mobility sectors, the energy supply of a residential district can be designed more effi-ciently. Charging stations (CS) of different types concerning power and availability (public or private) are considered additionally to cover the residents’ mobility demand. We also identify permissible simplifications to get a suitable objec-tive function and restrictions for the mixed-integer linear programming (MILP) optimization. To enable calculations of the optimal design in any residential district, the deduced model is implemented with a modular structure. In a case study of a reference district, we demonstrate the feasibility and performance of the developed optimization model.