Optimal temperature set-point planning for residential buildings

In this paper we present a methodology, based on genetic algorithms, for the optimization of the set-point signals for the heating system of a residential building. In particular, the set-point is planned for each room based on a simplified temperature model of the system and by taking into account the constraints on the comfort given by the user. The genetic algorithm determines the time instants when step or ramp signals have to be applied in order to minimize the energy consumption in the case of a radiators heating system. Simulation results obtained by using TRNSYS software tool demonstrate the effectiveness of the method.