Optimal Solution for an Energy Efficient Construction of a Ventilated Façade Obtained by a Genetic Algorithm

Saša M. Kalinović, Dejan I. Tanikić, Jelena M. Djoković, Ružica R. Nikolić, Branislav Hadzima and Robert Ulewicz
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Saša M. Kalinović: Technical Faculty in Bor, University of Belgrade, 19210 Bor, Serbia
Dejan I. Tanikić: Technical Faculty in Bor, University of Belgrade, 19210 Bor, Serbia
Jelena M. Djoković: Technical Faculty in Bor, University of Belgrade, 19210 Bor, Serbia
Ružica R. Nikolić: Research Center, University of Žilina, 01026 Žilina, Slovakia
Branislav Hadzima: Research Center, University of Žilina, 01026 Žilina, Slovakia
Robert Ulewicz: Department of Production Engineering and Safety, Czestochowa University of Technology, 42201 Czestochowa, Poland

Energies, 2021, vol. 14, issue 11, 1-14

Abstract: To design a residential or commercial building with high energy performance that would be economical at the same time, an analysis was performed that relates these two aspects of the problem. The first aspect is focused on evaluation of the thermal performance of a multi-layered wall in order to achieve the lowest energy consumption for heating and cooling. The second aspect of the analysis covered the choice of materials (type, thickness and price) so that the building has the lowest possible construction costs, but the best achieved thermal comfort. The three types of external walls with the same structure were analyzed in this paper. The lowest and highest values of the layer thickness offered by the manufacturer were chosen and their dynamic characteristics for the heat transfer were calculated. The following step was to perform optimization of the objective function, which was defined by the unit price of the material per mass of the material, that is, the economical aspect was provided. The genetic algorithm method was used to obtain the optimal thickness of the external wall layers that provided the best dynamic characteristics for the heat transfer in the defined conditions.

Keywords: decrement factor; phase delay; specific mass; genetic algorithm; material unit price (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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