OPTIMIZATION OF ENERGY REHABILITATION PROCESSES OF EXISTING BUILDINGS

This paper presents a multi-optimization model usable in the buildings' retrofit strategies. The proposed method is based on a Genetic Algorithm model which finds the best solution among a considered search space composed of thicknesses and thermal conductivities of insulation materials also taking into consideration their prices. The results shows that the energy requirement for heating can be reduced with up to 25,5% by using the expanded polystyrene with a thermal conductivity of 0,036 W/m center dot K in case of exterior walls and the extruded polystyrene for the floor with a thermal conductivity of 0,031 W/m center dot K and thickness of 99,63 mm.