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This lecture delves into the planning of multi-energy systems, focusing on integrating renewable energy in building stock by categorizing buildings, linking them to climatic zones, and optimizing energy conversion technologies. Mathematical optimization tools are used to generate options for coordinating energy production and consumption, increasing self-sufficiency and self-consumption. The lecture also explores the impact of predictive control on energy efficiency, the role of PV panels in reducing carbon emissions, and the potential of buildings as free batteries. It discusses district-level energy system design, the importance of grid constraints, and the integration of mobility and biogas production. The presentation emphasizes the need for a holistic approach to energy systems, considering various energy sources and system interactions.