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Digital Twin Framework for Built Environment: A Review of Key Enablers

Author

Listed:
  • Giuseppe Piras

    (Department of Astronautics, Electrical and Energy Engineering (DIAEE), Sapienza University of Rome, 00184 Rome, Italy)

  • Sofia Agostinelli

    (Department of Astronautics, Electrical and Energy Engineering (DIAEE), Sapienza University of Rome, 00184 Rome, Italy)

  • Francesco Muzi

    (Department of Astronautics, Electrical and Energy Engineering (DIAEE), Sapienza University of Rome, 00184 Rome, Italy)

Abstract

The emergence of Digital Twin (DT) technology presents unique opportunities for society by facilitating real-time data transfer from the physical environment to its digital counterpart. Although progress has been made in various industry sectors such as aerospace, the Architecture, Engineering, Construction, and Operation (AECO) sector still requires further advancements, like the adoption of these technologies over traditional approaches. The use of these technologies should become standard practice rather than an advanced operation. This paper aims to address the existing gap by presenting a comprehensive framework that integrates technologies and concepts derived from purpose-driven case studies and research studies across different industries. The framework is designed to provide best practices for the AECO sector. Moreover, it aims to underscores the potential of DT for optimization through overseeing and digital management of the built environment across the entire life cycle of facilities, encompassing design, construction, operation, and maintenance. It is based on an extensive literature review and presents a holistic approach to outlining the roles of Building Information Modelling (BIM), Geographic Information Systems (GIS), Internet of Things (IoT), and other key enablers within the DT environment. These digital tools facilitating the simultaneous evaluation of associated benefits, such as resource savings and future prospects, like monitoring project sustainability objectives.

Suggested Citation

  • Giuseppe Piras & Sofia Agostinelli & Francesco Muzi, 2024. "Digital Twin Framework for Built Environment: A Review of Key Enablers," Energies, MDPI, vol. 17(2), pages 1-27, January.
    • Handle: RePEc:gam:jeners:v:17:y:2024:i:2:p:436-:d:1320055
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    References listed on IDEAS

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    1. Lingye Tan & Tiong Lee Kong & Ziyang Zhang & Ahmed Sayed M. Metwally & Shubham Sharma & Kanta Prasad Sharma & Sayed M. Eldin & Dominik Zimon, 2023. "Scheduling and Controlling Production in an Internet of Things Environment for Industry 4.0: An Analysis and Systematic Review of Scientific Metrological Data," Sustainability, MDPI, vol. 15(9), pages 1-37, May.
    2. Ehab Shahat & Chang T. Hyun & Chunho Yeom, 2021. "City Digital Twin Potentials: A Review and Research Agenda," Sustainability, MDPI, vol. 13(6), pages 1-20, March.
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    Cited by:

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    2. Vallati, Andrea & Di Matteo, Miriam & Sundararajan, Mukund & Muzi, Francesco & Fiorini, Costanza Vittoria, 2024. "Development and optimization of an energy saving strategy for social housing applications by water source-heat pump integrating photovoltaic-thermal panels," Energy, Elsevier, vol. 301(C).
    3. Bernardine Chidozie & Ana Ramos & José Vasconcelos & Luis Pinto Ferreira & Reinaldo Gomes, 2024. "Highlighting Sustainability Criteria in Residual Biomass Supply Chains: A Dynamic Simulation Approach," Sustainability, MDPI, vol. 16(22), pages 1-24, November.

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