Optimization applied with agent based modelling in the context of urban energy planning

The inherent complexity of urban energy systems, and related decision making on system configuration and system operation strategies requires appropriate energy modelling, simulation and optimization means and tools. Due to its character, optimization applied with agent based modeling can be used to tackle problems whose nature is distributed and complex. In this work we present the insights gained through the optimization model building process in the area of urban energy planning, which deals with multi-scale, domain transversal and largely heterogeneous systems. Optimization is applied to urban energy infrastructure planning and energy system operation planning.