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Leveraging Digital Twin for Sustainability Assessment of an Educational Building

Author

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  • Lavinia Chiara Tagliabue

    (Department of Civil, Environmental, Architectural Engineering and Mathematics, University of Brescia, 25121 Brescia, Italy)

  • Fulvio Re Cecconi

    (Department of Architecture, Built Environment, Construction Engineering, Politecnico di Milano, 20133 Milano, Italy)

  • Sebastiano Maltese

    (Institute for Applied Sustainability to the Built Environment, University of Applied Sciences and Arts of Southern Switzerland, 6928 Manno, Switzerland)

  • Stefano Rinaldi

    (Department of Information Engineering, University of Brescia, 25121 Brescia, Italy)

  • Angelo Luigi Camillo Ciribini

    (Department of Civil, Environmental, Architectural Engineering and Mathematics, University of Brescia, 25121 Brescia, Italy)

  • Alessandra Flammini

    (Department of Information Engineering, University of Brescia, 25121 Brescia, Italy)

Abstract

The EU Green Deal, beginning in 2019, promoted a roadmap for operating the transition to a sustainable EU economy by turning climate issues and environmental challenges into opportunities in all policy areas and making the transition fair and inclusive for all. Focusing on the built environment, the voluntary adoption of rating systems for sustainability assessment is growing, with an increasing market value, and is perceived as a social responsibility both by public administration and by private companies. This paper proposes a framework for shifting from a static sustainability assessment to a digital twin (DT)-based and Internet of Things (IoT)-enabled dynamic approach. This new approach allows for a real-time evaluation and control of a wide range of sustainability criteria with a user-centered point of view. A pilot building, namely, the eLUX lab cognitive building in the University of Brescia, was used to test the framework with some sample applications. The educational building accommodates the daily activities of the engineering students by constantly interacting with the sensorized asset monitoring indoor comfort and air quality conditions as well as the energy behavior of the building in order to optimize the trade-off with renewable energy production. The framework is the cornerstone of a methodology exploiting the digital twin approach to support the decision processes related to sustainability through the whole building’s life cycle.

Suggested Citation

  • Lavinia Chiara Tagliabue & Fulvio Re Cecconi & Sebastiano Maltese & Stefano Rinaldi & Angelo Luigi Camillo Ciribini & Alessandra Flammini, 2021. "Leveraging Digital Twin for Sustainability Assessment of an Educational Building," Sustainability, MDPI, vol. 13(2), pages 1-16, January.
  • Handle: RePEc:gam:jsusta:v:13:y:2021:i:2:p:480-:d:475740
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    2. Kamble, Sachin S & Gunasekaran, Angappa & Parekh, Harsh & Mani, Venkatesh & Belhadi, Amine & Sharma, Rohit, 2022. "Digital twin for sustainable manufacturing supply chains: Current trends, future perspectives, and an implementation framework," Technological Forecasting and Social Change, Elsevier, vol. 176(C).
    3. Rashid Maqbool & Mohammed Rayan Saiba & Ayman Altuwaim & Yahya Rashid & Saleha Ashfaq, 2023. "The influence of industrial attitudes and behaviours in adopting sustainable construction practices," Sustainable Development, John Wiley & Sons, Ltd., vol. 31(2), pages 893-907, April.
    4. Adetayo Onososen & Innocent Musonda & Motheo Meta Tjebane, 2022. "Drivers of BIM-Based Life Cycle Sustainability Assessment of Buildings: An Interpretive Structural Modelling Approach," Sustainability, MDPI, vol. 14(17), pages 1-21, September.
    5. do Amaral, J.V.S. & dos Santos, C.H. & Montevechi, J.A.B. & de Queiroz, A.R., 2023. "Energy Digital Twin applications: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 188(C).
    6. Angélica Pigola & Priscila Rezende da Costa & Luísa Cagica Carvalho & Luciano Ferreira da Silva & Cláudia Terezinha Kniess & Emerson Antonio Maccari, 2021. "Artificial Intelligence-Driven Digital Technologies to the Implementation of the Sustainable Development Goals: A Perspective from Brazil and Portugal," Sustainability, MDPI, vol. 13(24), pages 1-28, December.
    7. Hossein Omrany & Karam M. Al-Obaidi & Amreen Husain & Amirhosein Ghaffarianhoseini, 2023. "Digital Twins in the Construction Industry: A Comprehensive Review of Current Implementations, Enabling Technologies, and Future Directions," Sustainability, MDPI, vol. 15(14), pages 1-26, July.
    8. Katarina Bäcklund & Marco Molinari & Per Lundqvist & Björn Palm, 2023. "Building Occupants, Their Behavior and the Resulting Impact on Energy Use in Campus Buildings: A Literature Review with Focus on Smart Building Systems," Energies, MDPI, vol. 16(17), pages 1-21, August.
    9. Habib Sadri & Ibrahim Yitmen & Lavinia Chiara Tagliabue & Florian Westphal & Algan Tezel & Afshin Taheri & Goran Sibenik, 2023. "Integration of Blockchain and Digital Twins in the Smart Built Environment Adopting Disruptive Technologies—A Systematic Review," Sustainability, MDPI, vol. 15(4), pages 1-46, February.
    10. Luciana Teixeira Batista & José Ricardo Queiroz Franco & Ricardo Hall Fakury & Marcelo Franco Porto & Carmela Maria Polito Braga, 2022. "Methodology for Determining Sustainable Water Consumption Indicators for Buildings," Sustainability, MDPI, vol. 14(9), pages 1-25, May.
    11. Stefano Cascone, 2023. "Digital Technologies and Sustainability Assessment: A Critical Review on the Integration Methods between BIM and LEED," Sustainability, MDPI, vol. 15(6), pages 1-16, March.

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