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

Author

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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)

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.

Suggested Citation

  • Saša M. Kalinović & Dejan I. Tanikić & Jelena M. Djoković & Ružica R. Nikolić & Branislav Hadzima & Robert Ulewicz, 2021. "Optimal Solution for an Energy Efficient Construction of a Ventilated Façade Obtained by a Genetic Algorithm," Energies, MDPI, vol. 14(11), pages 1-14, June.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:11:p:3293-:d:568956
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    References listed on IDEAS

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    1. Robert Kuceba & Arnold Pabian & Felicjan Bylok, 2010. "Energy Security Intensification Determinants In The Chains Of Final Energy Value Creation," Polish Journal of Management Studies, Czestochowa Technical University, Department of Management, vol. 2(1), pages 68-80, December.
    2. Mills, Bradford & Schleich, Joachim, 2012. "Residential energy-efficient technology adoption, energy conservation, knowledge, and attitudes: An analysis of European countries," Energy Policy, Elsevier, vol. 49(C), pages 616-628.
    3. Si, Binghui & Tian, Zhichao & Jin, Xing & Zhou, Xin & Tang, Peng & Shi, Xing, 2016. "Performance indices and evaluation of algorithms in building energy efficient design optimization," Energy, Elsevier, vol. 114(C), pages 100-112.
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    1. Robert Dylewski & Janusz Adamczyk, 2023. "Economic and Ecological Optimization of Thermal Insulation Depending on the Pre-Set Temperature in a Dwelling," Energies, MDPI, vol. 16(10), pages 1-13, May.
    2. Yorgos Spanodimitriou & Giovanni Ciampi & Michelangelo Scorpio & Niloufar Mokhtari & Ainoor Teimoorzadeh & Roberta Laffi & Sergio Sibilio, 2022. "Passive Strategies for Building Retrofitting: Performances Analysis and Incentive Policies for the Iranian Scenario," Energies, MDPI, vol. 15(5), pages 1-22, February.

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