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Decision Support System for the Sustainable Seismic and Energy Renovation of Buildings: Methodological Layout

Author

Listed:
  • Antonio Artino

    (Department of Civil Engineering and Architecture (DICAr), University of Catania, Via S. Sofia 64, 95123 Catania, Italy)

  • Riccardo Caponetto

    (Department of Electrical Electronic and Computer Engineering (DIEEI), University of Catania, Viale A. Doria 6, 95125 Catania, Italy)

  • Gianpiero Evola

    (Department of Electrical Electronic and Computer Engineering (DIEEI), University of Catania, Viale A. Doria 6, 95125 Catania, Italy)

  • Giuseppe Margani

    (Department of Civil Engineering and Architecture (DICAr), University of Catania, Via S. Sofia 64, 95123 Catania, Italy)

  • Edoardo Michele Marino

    (Department of Civil Engineering and Architecture (DICAr), University of Catania, Via S. Sofia 64, 95123 Catania, Italy)

  • Emanuele Murgano

    (Department of Electrical Electronic and Computer Engineering (DIEEI), University of Catania, Viale A. Doria 6, 95125 Catania, Italy)

Abstract

In Italy, as in many other European countries, a large part of the real estate was built before the issue of restrictive regulations regarding seismic resistance and energy efficiency. Consequently, most existing buildings show inadequate structural and energy performance. However, although a combined renovation is highly recommended, and despite relevant tax incentives which are currently available, the building retrofit market is still struggling to take off. In fact, the lack of information and/or awareness of the involved parties and the consequent difficulty for condominiums to approve the retrofit works are often insuperable obstacles. A Decision Support System (DSS) may help in evaluating and comparing different combined renovation scenarios, thus promoting the regeneration of the building stock. This study presents a new methodology for the selection of the optimal building renovation scenario through a DSS, which is conceived as a tool to allow a quick, simple and effective identification of the best retrofit strategy, based on a priority scale (e.g., costs and duration of intervention, disruption to the occupants, environmental sustainability, energy savings, thermal comfort, structural safety). For this purpose, the DSS calculates suitable performance indices and relative costs. Finally, the system proposes a ranking of the best combined retrofit scenarios. This research study is still ongoing and next steps will deal with the calibration of the proposed methodology.

Suggested Citation

  • Antonio Artino & Riccardo Caponetto & Gianpiero Evola & Giuseppe Margani & Edoardo Michele Marino & Emanuele Murgano, 2020. "Decision Support System for the Sustainable Seismic and Energy Renovation of Buildings: Methodological Layout," Sustainability, MDPI, vol. 12(24), pages 1-21, December.
    • Handle: RePEc:gam:jsusta:v:12:y:2020:i:24:p:10273-:d:459038
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    References listed on IDEAS

    as
    1. Sebastiano D’Urso & Bruno Cicero, 2019. "From the Efficiency of Nature to Parametric Design. A Holistic Approach for Sustainable Building Renovation in Seismic Regions," Sustainability, MDPI, vol. 11(5), pages 1-20, February.
    2. Annarita Ferrante & Giovanni Mochi & Giorgia Predari & Lorenzo Badini & Anastasia Fotopoulou & Riccardo Gulli & Giovanni Semprini, 2018. "A European Project for Safer and Energy Efficient Buildings: Pro-GET-onE (Proactive Synergy of inteGrated Efficient Technologies on Buildings’ Envelopes)," Sustainability, MDPI, vol. 10(3), pages 1-26, March.
    3. Baldoni, Edoardo & Coderoni, Silvia & D'Orazio, Marco & Di Giuseppe, Elisa & Esposti, Roberto, 2019. "The role of economic and policy variables in energy-efficient retrofitting assessment. A stochastic Life Cycle Costing methodology," Energy Policy, Elsevier, vol. 129(C), pages 1207-1219.
    4. Giuseppe Margani & Gianpiero Evola & Carola Tardo & Edoardo Michele Marino, 2020. "Energy, Seismic, and Architectural Renovation of RC Framed Buildings with Prefabricated Timber Panels," Sustainability, MDPI, vol. 12(12), pages 1-18, June.
    5. Tiago Miguel Ferreira & Hugo Rodrigues & Romeu Vicente, 2020. "Seismic Vulnerability Assessment of Existing Reinforced Concrete Buildings in Urban Centers," Sustainability, MDPI, vol. 12(5), pages 1-20, March.
    6. Antonio Artino & Gianpiero Evola & Giuseppe Margani & Edoardo Michele Marino, 2019. "Seismic and Energy Retrofit of Apartment Buildings through Autoclaved Aerated Concrete (AAC) Blocks Infill Walls," Sustainability, MDPI, vol. 11(14), pages 1-21, July.
    7. Aliakbar Kamari & Stefan Jensen & Maria Leonhard Christensen & Steffen Petersen & Poul Henning Kirkegaard, 2018. "A hybrid Decision Support System for Generation of Holistic Renovation Scenarios—Cases of Energy Consumption, Investment Cost, and Thermal Indoor Comfort," Sustainability, MDPI, vol. 10(4), pages 1-23, April.
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