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Building Information Modeling and Building Performance Simulation-Based Decision Support Systems for Improved Built Heritage Operation

Author

Listed:
  • Angelo Massafra

    (Department of Architecture, University of Bologna, 40136 Bologna, Italy)

  • Carlo Costantino

    (Department of Agriculture, Forests, Nature and Energy, University of Tuscia, 01100 Viterbo, Italy)

  • Giorgia Predari

    (Department of Architecture, University of Bologna, 40136 Bologna, Italy)

  • Riccardo Gulli

    (Department of Architecture, University of Bologna, 40136 Bologna, Italy)

Abstract

Adapting outdated building stocks’ operations to meet current environmental and economic demands poses significant challenges that, to be faced, require a shift toward digitalization in the architecture, engineering, construction, and operation sectors. Digital tools capable of acquiring, structuring, sharing, processing, and visualizing built assets’ data in the form of knowledge need to be conceptualized and developed to inform asset managers in decision-making and strategic planning. This paper explores how building information modeling and building performance simulation technologies can be integrated into digital decision support systems (DSS) to make building data accessible and usable by non-digital expert operators through user-friendly services. The method followed to develop the digital DSS is illustrated and then demonstrated with a simulation-based application conducted on the heritage case study of the Faculty of Engineering in Bologna, Italy. The analysis allows insights into the building’s energy performance at the space and hour scale and explores its relationship with the planned occupancy through a data visualization approach. In addition, the conceptualization of the DSS within a digital twin vision lays the foundations for future extensions to other technologies and data, including, for example, live sensor measurements, occupant feedback, and forecasting algorithms.

Suggested Citation

  • Angelo Massafra & Carlo Costantino & Giorgia Predari & Riccardo Gulli, 2023. "Building Information Modeling and Building Performance Simulation-Based Decision Support Systems for Improved Built Heritage Operation," Sustainability, MDPI, vol. 15(14), pages 1-31, July.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:14:p:11240-:d:1197399
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    References listed on IDEAS

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    1. Muhammad Saidu Aliero & Muhammad Asif & Imran Ghani & Muhammad Fermi Pasha & Seung Ryul Jeong, 2022. "Systematic Review Analysis on Smart Building: Challenges and Opportunities," Sustainability, MDPI, vol. 14(5), pages 1-28, March.
    2. Bilal Manzoor & Idris Othman & Juan Carlos Pomares, 2021. "Digital Technologies in the Architecture, Engineering and Construction (AEC) Industry—A Bibliometric—Qualitative Literature Review of Research Activities," IJERPH, MDPI, vol. 18(11), pages 1-26, June.
    3. Wadud, Zia & Royston, Sarah & Selby, Jan, 2019. "Modelling energy demand from higher education institutions: A case study of the UK," Applied Energy, Elsevier, vol. 233, pages 816-826.
    4. Balaji, Bharathan & Bhattacharya, Arka & Fierro, Gabriel & Gao, Jingkun & Gluck, Joshua & Hong, Dezhi & Johansen, Aslak & Koh, Jason & Ploennigs, Joern & Agarwal, Yuvraj & Bergés, Mario & Culler, Davi, 2018. "Brick : Metadata schema for portable smart building applications," Applied Energy, Elsevier, vol. 226(C), pages 1273-1292.
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