Optimal Design of Energy Systems in Residential Districts with Interconnected Local Heating And Electrical Networks

This work introduces an approach to optimally design energy systems based on economic criteria for individual residential buildings and districts comprising microgrids (MG) and local heating networks (LHN). Further, the impact of different time series aggregation methods applied to input data for the design optimization is analysed. The results show that an aggregation based on 7 typical 3-days periods with an intra-day temporal resolution of 1 h achieves in average 94 % shorter solving times than 12 typical days with 15 min resolution, while the accuracy is kept at ±0.96 % based on unaggregated references. Further, in a use case comprising 6 buildings the installation of combined heat and power (CHP) and heat pumps (HP) in a complementary MG and LHN enable cost savings up to 10.3 % compared to conventional heat and electricity supply.