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Environmental and Economic Optimisation of Buildings in Portugal and Hungary

Author

Listed:
  • Benedek Kiss

    (Department of Construction Materials and Technologies, Budapest University of Technology and Economics, 1111 Budapest, Hungary)

  • Jose Dinis Silvestre

    (CERIS, Instituto Superior Técnico, Universidade de Lisboa, Av. Rovisco Pais 1, 1049-001 Lisboa, Portugal)

  • Rita Andrade Santos

    (CERIS, Instituto Superior Técnico, Universidade de Lisboa, Av. Rovisco Pais 1, 1049-001 Lisboa, Portugal)

  • Zsuzsa Szalay

    (Department of Construction Materials and Technologies, Budapest University of Technology and Economics, 1111 Budapest, Hungary)

Abstract

Life cycle assessment (LCA) is a scientific method for evaluating the environmental impact of products. Standards provide a general framework for conducting an LCA study and calculation rules specifically for buildings. The challenge is to design energy-efficient buildings that have a low environmental impact, reasonable costs, and high thermal comfort as these are usually conflicting aspects. Efficient mathematical optimisation algorithms can be applied to such engineering problems. In this paper, a framework for automated optimisation is described, and it is applied to a multi-story residential building case study in two locations, Portugal and Hungary. The objectives are to minimise the life cycle environmental impacts and costs. The results indicate that optimum solutions are found at a higher cost but lower global warming potential for Portugal than for Hungary. Optimum solutions have walls with a thermal transmittance in the intervals of 0.29–0.39 and 0.06–0.19 W/m 2 K for Portugal and Hungary, respectively. Multi-objective optimisation algorithms can be successfully applied to find solutions with low environmental impact and an eco-efficient thermal envelope.

Suggested Citation

  • Benedek Kiss & Jose Dinis Silvestre & Rita Andrade Santos & Zsuzsa Szalay, 2021. "Environmental and Economic Optimisation of Buildings in Portugal and Hungary," Sustainability, MDPI, vol. 13(24), pages 1-19, December.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:24:p:13531-:d:697135
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    References listed on IDEAS

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    1. Najjar, Mohammad & Figueiredo, Karoline & Hammad, Ahmed W.A. & Haddad, Assed, 2019. "Integrated optimization with building information modeling and life cycle assessment for generating energy efficient buildings," Applied Energy, Elsevier, vol. 250(C), pages 1366-1382.
    2. Evins, Ralph, 2013. "A review of computational optimisation methods applied to sustainable building design," Renewable and Sustainable Energy Reviews, Elsevier, vol. 22(C), pages 230-245.
    3. Jaime Resende & Helena Corvacho, 2021. "The nZEB Requirements for Residential Buildings: An Analysis of Thermal Comfort and Actual Energy Needs in Portuguese Climate," Sustainability, MDPI, vol. 13(15), pages 1-21, July.
    4. Vallet, Améline & Locatelli, Bruno & Levrel, Harold & Wunder, Sven & Seppelt, Ralf & Scholes, Robert J. & Oszwald, Johan, 2018. "Relationships Between Ecosystem Services: Comparing Methods for Assessing Tradeoffs and Synergies," Ecological Economics, Elsevier, vol. 150(C), pages 96-106.
    5. Mayer, Martin János & Szilágyi, Artúr & Gróf, Gyula, 2020. "Environmental and economic multi-objective optimization of a household level hybrid renewable energy system by genetic algorithm," Applied Energy, Elsevier, vol. 269(C).
    6. Kheiri, Farshad, 2018. "A review on optimization methods applied in energy-efficient building geometry and envelope design," Renewable and Sustainable Energy Reviews, Elsevier, vol. 92(C), pages 897-920.
    7. Ascione, Fabrizio & Bianco, Nicola & Maria Mauro, Gerardo & Napolitano, Davide Ferdinando, 2019. "Building envelope design: Multi-objective optimization to minimize energy consumption, global cost and thermal discomfort. Application to different Italian climatic zones," Energy, Elsevier, vol. 174(C), pages 359-374.
    8. Nguyen, Anh-Tuan & Reiter, Sigrid & Rigo, Philippe, 2014. "A review on simulation-based optimization methods applied to building performance analysis," Applied Energy, Elsevier, vol. 113(C), pages 1043-1058.
    9. Franz Dolezal & Isabella Dornigg & Markus Wurm & Hildegund Figl, 2021. "Overview and Main Findings for the Austrian Case Study," Sustainability, MDPI, vol. 13(14), pages 1-12, July.
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