Final method for selection of the optimal solution for deep energy renovation of a building

Abstract

The great potential for reduction of CO2 emissions lies in the deep energy renovation of buildings that exploits the full potential of improving energy efficiency in buildings to maximize energy savings and minimize energy costs. However, in addition to the technical parameters, it is necessary to analyze the willingness of the client to pay for deep energy renovation. This paper presents a methodology applicable to all types of buildings that in a relatively short time provides an optimal solution that meets both parameters ? technical and economic, while satisfying the legal requirements. The method was tested by simultaneous use of DESIGNBUILDER software package (which uses ENERGYPLUS as its dynamic simulation engine), PYTHON and SQL programming languages on an office building in the city of Zagreb, where a total of 720 combinations of building deep energy renovation were analyzed. In the analyzed case, it was proved that the application of this methodology results in obtaining the output values 20.51 times faster than the classical input of all combinations of deep energy renovation of the building in software tools. In addition, the probability of human error is much lower by applying this methodology given large amount of input data.