Optimising heat supply systems for residential districts in consideration of fluctuating renewable energies

In comparison to the electrical sector the thermal sector is more heterogeneous. These leads to a high complexity of realizable concepts and energy management systems. Typical workflows based on experience and know-how of the engineering and planning staff, that possibly is mixed with personal preferences. Compared to such manual approach an effective and neutral approaches are automated optimization methods.

The PhD thesis focused on the optimization of thermal generation, distribution and storing systems with high penetration of renewable energy. The choice of technologies base on a given portfolio with different thermal converter and storing technologies. In this case the choice, dimension and energy management strategy depends on the energy carrier, boundary conditions and the user behavior. For example temperatures, building ages and investment funds are given parameters.  Furthermore, combined head and power plants (chp) takes a special position. With such boundary conditions the overall system leads to a combinational problem with high complexity. A manual implementation of such high complex systems with respect to all combinational possibilities is not effective. In that case the problem have to be solved with robust and effective optimization methods.