IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v14y2021i11p3293-d568956.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/14/11/3293/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/14/11/3293/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. 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.
    2. 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.
    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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Rahman, Abul & Khanam, Tahamina & Pelkonen, Paavo, 2017. "People’s knowledge, perceptions, and attitudes towards stump harvesting for bioenergy production in Finland," Renewable and Sustainable Energy Reviews, Elsevier, vol. 70(C), pages 107-116.
    2. Morgane Innocent & Agnès François-Lecompte & Nolwenn Roudaut, 2020. "Comparison of human versus technological support to reduce domestic electricity consumption in France," Post-Print hal-02450849, HAL.
    3. Bauwens, Thomas, 2019. "Analyzing the determinants of the size of investments by community renewable energy members: Findings and policy implications from Flanders," Energy Policy, Elsevier, vol. 129(C), pages 841-852.
    4. Brown, Christopher J. & Markusson, Nils, 2019. "The responses of older adults to smart energy monitors," Energy Policy, Elsevier, vol. 130(C), pages 218-226.
    5. Francesca Paradiso & Federica Paganelli & Dino Giuli & Samuele Capobianco, 2016. "Context-Based Energy Disaggregation in Smart Homes," Future Internet, MDPI, vol. 8(1), pages 1-22, January.
    6. Schlomann, Barbara & Schleich, Joachim, 2015. "Adoption of low-cost energy efficiency measures in the tertiary sector—An empirical analysis based on energy survey data," Renewable and Sustainable Energy Reviews, Elsevier, vol. 43(C), pages 1127-1133.
    7. Huang, Junbing & Wang, Yajun & Lei, Hongyan & Chen, Xiang, 2024. "A technology-driven way to carbon peak and its impact mechanism," Energy, Elsevier, vol. 297(C).
    8. Schleich, Joachim & Faure, Corinne & Meissner, Thomas, 2021. "Adoption of retrofit measures among homeowners in EU countries: The effects of access to capital and debt aversion," Energy Policy, Elsevier, vol. 149(C).
    9. Cuenca, Juan J. & Daly, Hannah E. & Hayes, Barry P., 2023. "Sharing the grid: The key to equitable access for small-scale energy generation," Applied Energy, Elsevier, vol. 349(C).
    10. Schleich, Joachim & Gassmann, Xavier & Faure, Corinne & Meissner, Thomas, 2016. "Making the implicit explicit: A look inside the implicit discount rate," Energy Policy, Elsevier, vol. 97(C), pages 321-331.
    11. Gordon, Joel A. & Balta-Ozkan, Nazmiye & Nabavi, Seyed Ali, 2022. "Homes of the future: Unpacking public perceptions to power the domestic hydrogen transition," Renewable and Sustainable Energy Reviews, Elsevier, vol. 164(C).
    12. Asmare, Fissha & Giedraitis, Vincentas & Jaraitė, Jūratė & Kažukauskas, Andrius, 2023. "Energy-related financial literacy and retrofits of Soviet-era apartment buildings: The case of Lithuania," Energy Economics, Elsevier, vol. 120(C).
    13. Nguyen, The Ninh & Lobo, Antonio & Greenland, Steven, 2016. "Pro-environmental purchase behaviour: The role of consumers' biospheric values," Journal of Retailing and Consumer Services, Elsevier, vol. 33(C), pages 98-108.
    14. Tu, Gengyang & Faure, Corinne & Schleich, Joachim & Guetlein, Marie-Charlotte, 2021. "The heat is off! The role of technology attributes and individual attitudes in the diffusion of Smart thermostats – findings from a multi-country survey," Technological Forecasting and Social Change, Elsevier, vol. 163(C).
    15. Imran Hossain & Maria Fekete-Farkas & Md. Nekmahmud, 2022. "Purchase Behavior of Energy-Efficient Appliances Contribute to Sustainable Energy Consumption in Developing Country: Moral Norms Extension of the Theory of Planned Behavior," Energies, MDPI, vol. 15(13), pages 1-20, June.
    16. Kurdgelashvili, Lado & Shih, Cheng-Hao & Yang, Fan & Garg, Mehul, 2019. "An empirical analysis of county-level residential PV adoption in California," Technological Forecasting and Social Change, Elsevier, vol. 139(C), pages 321-333.
    17. Schleich, Joachim & Faure, Corinne, 2017. "Explaining citizens’ perceptions of international climate-policy relevance," Energy Policy, Elsevier, vol. 103(C), pages 62-71.
    18. Sylwia Słupik & Joanna Kos-Łabędowicz & Joanna Trzęsiok, 2021. "Energy-Related Behaviour of Consumers from the Silesia Province (Poland)—Towards a Low-Carbon Economy," Energies, MDPI, vol. 14(8), pages 1-23, April.
    19. Prokop, Viktor & Gerstlberger, Wolfgang & Zapletal, David & Gyamfi, Solomon, 2023. "Do we need human capital heterogeneity for energy efficiency and innovativeness? Insights from European catching-up territories," Energy Policy, Elsevier, vol. 177(C).
    20. Olsthoorn, Mark & Schleich, Joachim & Faure, Corinne, 2019. "Exploring the diffusion of low-energy houses: An empirical study in the European Union," Energy Policy, Elsevier, vol. 129(C), pages 1382-1393.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:14:y:2021:i:11:p:3293-:d:568956. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.