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Possibilities for Deep Renovation in Multi-Apartment Buildings in Different Economic Conditions in Europe

Author

Listed:
  • Davor Končalović

    (Faculty of Engineering, University of Kragujevac, Sestre Janjić 6, 34000 Kragujevac, Serbia)

  • Jelena Nikolic

    (Faculty of Engineering, University of Kragujevac, Sestre Janjić 6, 34000 Kragujevac, Serbia)

  • Vladimir Vukasinovic

    (Faculty of Engineering, University of Kragujevac, Sestre Janjić 6, 34000 Kragujevac, Serbia)

  • Dušan Gordić

    (Faculty of Engineering, University of Kragujevac, Sestre Janjić 6, 34000 Kragujevac, Serbia)

  • Dubravka Živković

    (Institute for Information Technologies, University of Kragujevac, Jovana Cvijića bb, 34000 Kragujevac, Serbia)

Abstract

This paper analyzes the potential for deep renovation of an apartment building to the level of a passive house in different contexts in the continental part of Europe. The examined variables include different local climatic conditions, levels of economic development, and levels of market development (energy prices, energy footprint, labor prices, etc.) as well as different energy efficiency retrofit scenarios in four different countries. The adequate methodology was developed here in order to obtain an optimal solution for deep renovation in each context. The proposed methodology was based on the interaction of energy simulation and mathematical optimization. In this model, the energy performances of a building are determined with the EnergyPlus package and the optimal solution was obtained by using a mixed-integer non-linear programming model. The results demonstrate that the optimal solution for each analyzed location cannot provide cost-effectiveness over the lifetime of a building, so the introduction of additional subsidies or incentives, such as carbon taxes and upfront subsidies, is necessary.

Suggested Citation

  • Davor Končalović & Jelena Nikolic & Vladimir Vukasinovic & Dušan Gordić & Dubravka Živković, 2022. "Possibilities for Deep Renovation in Multi-Apartment Buildings in Different Economic Conditions in Europe," Energies, MDPI, vol. 15(8), pages 1-15, April.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:8:p:2788-:d:791070
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    References listed on IDEAS

    as
    1. Ott, Laurent & Weber, Sylvain, 2022. "How effective is carbon taxation on residential heating demand? A household-level analysis," Energy Policy, Elsevier, vol. 160(C).
    2. Rita Remeikienė & Ligita Gasparėnienė & Aleksandra Fedajev & Marek Szarucki & Marija Đekić & Jolita Razumienė, 2021. "Evaluation of Sustainable Energy Development Progress in EU Member States in the Context of Building Renovation," Energies, MDPI, vol. 14(14), pages 1-22, July.
    3. Zakula, Tea & Bagaric, Marina & Ferdelji, Nenad & Milovanovic, Bojan & Mudrinic, Sasa & Ritosa, Katia, 2019. "Comparison of dynamic simulations and the ISO 52016 standard for the assessment of building energy performance," Applied Energy, Elsevier, vol. 254(C).
    4. Mainali, Brijesh & Mahapatra, Krushna & Pardalis, Georgios, 2021. "Strategies for deep renovation market of detached houses," Renewable and Sustainable Energy Reviews, Elsevier, vol. 138(C).
    5. Dodoo, Ambrose & Gustavsson, Leif & Tettey, Uniben Y.A., 2017. "Final energy savings and cost-effectiveness of deep energy renovation of a multi-storey residential building," Energy, Elsevier, vol. 135(C), pages 563-576.
    6. Janne Hirvonen & Juha Jokisalo & Risto Kosonen, 2020. "The Effect of Deep Energy Retrofit on The Hourly Power Demand of Finnish Detached Houses," Energies, MDPI, vol. 13(7), pages 1-26, April.
    7. Corgnati, Stefano Paolo & Fabrizio, Enrico & Filippi, Marco & Monetti, Valentina, 2013. "Reference buildings for cost optimal analysis: Method of definition and application," Applied Energy, Elsevier, vol. 102(C), pages 983-993.
    8. Ohlsson, K.E. Anders & Olofsson, Thomas, 2021. "Benchmarking the practice of validation and uncertainty analysis of building energy models," Renewable and Sustainable Energy Reviews, Elsevier, vol. 142(C).
    9. Iturriaga, E. & Aldasoro, U. & Terés-Zubiaga, J. & Campos-Celador, A., 2018. "Optimal renovation of buildings towards the nearly Zero Energy Building standard," Energy, Elsevier, vol. 160(C), pages 1101-1114.
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