Optimization of local renewable energy systems using automotive simulation approaches

With the rising individual demand for energy as well as the diminishing fossil energy resources, new opti-mized concepts for energy supply and usage are re-quired for future buildings. To address these chal-lenges, renewable energy sources and decentralized storage are matters of rapidly growing importance.  Electric mobility concepts and electrical vehicles address these challenges but provide additional requirements due to power and energy demands. Thus future building energy systems have to integrate successfully user demands, local renewable energy, storage systems and charging infrastructure, a task requiring extensive scrutineering.  This paper describes an approach of simulation-based analysis and optimization with Modelica, as widely used in the automotive industry, for the design of building energy systems. Furthermore, exemplary results for the application of the optimization-tool-chain are shown.