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BIM and IoT Sensors Integration: A Framework for Consumption and Indoor Conditions Data Monitoring of Existing Buildings

Author

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  • Giuseppe Desogus

    (Department of Civil Engineering Environmental and Architecture (DICAAR), University of Cagliari, 09124 Cagliari, Italy)

  • Emanuela Quaquero

    (Department of Civil Engineering Environmental and Architecture (DICAAR), University of Cagliari, 09124 Cagliari, Italy)

  • Giulia Rubiu

    (Department of Civil Engineering Environmental and Architecture (DICAAR), University of Cagliari, 09124 Cagliari, Italy)

  • Gianluca Gatto

    (Department of Electrical and Electronic Engineering (DIEE), University of Cagliari, 09123 Cagliari, Italy)

  • Cristian Perra

    (Department of Electrical and Electronic Engineering (DIEE), University of Cagliari, 09123 Cagliari, Italy)

Abstract

The low accessibility to the information regarding buildings current performances causes deep difficulties in planning appropriate interventions. Internet of Things (IoT) sensors make available a high quantity of data on energy consumptions and indoor conditions of an existing building that can drive the choice of energy retrofit interventions. Moreover, the current developments in the topic of the digital twin are leading the diffusion of Building Information Modeling (BIM) methods and tools that can provide valid support to manage all data and information for the retrofit process. This paper shows the aim and the findings of research focused on testing the integrated use of BIM methodology and IoT systems. A common data platform for the visualization of building indoor conditions (e.g., temperature, luminance etc.) and of energy consumption parameters was carried out. This platform, tested on a case study located in Italy, is developed with the integration of low-cost IoT sensors and the Revit model. To obtain a dynamic and automated exchange of data between the sensors and the BIM model, the Revit software was integrated with the Dynamo visual programming platform and with a specific Application Programming Interface (API). It is an easy and straightforward tool that can provide building managers with real-time data and information about the energy consumption and the indoor conditions of buildings, but also allows for viewing of the historical sensor data table and creating graphical historical sensor data. Furthermore, the BIM model allows the management of other useful information about the building, such as dimensional data, functions, characteristics of the components of the building, maintenance status etc., which are essential for a much more conscious, effective and accurate management of the building and for defining the most suitable retrofit scenarios.

Suggested Citation

  • Giuseppe Desogus & Emanuela Quaquero & Giulia Rubiu & Gianluca Gatto & Cristian Perra, 2021. "BIM and IoT Sensors Integration: A Framework for Consumption and Indoor Conditions Data Monitoring of Existing Buildings," Sustainability, MDPI, vol. 13(8), pages 1-22, April.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:8:p:4496-:d:538260
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    1. Patricia Tzortzopoulos & Ling Ma & João Soliman Junior & Lauri Koskela, 2019. "Evaluating Social Housing Retrofit Options to Support Clients’ Decision Making—SIMPLER BIM Protocol," Sustainability, MDPI, vol. 11(9), pages 1-21, April.
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    3. Fabrizio M. Amoruso & Udo Dietrich & Thorsten Schuetze, 2019. "Indoor Thermal Comfort Improvement through the Integrated BIM-Parametric Workflow-Based Sustainable Renovation of an Exemplary Apartment in Seoul, Korea," Sustainability, MDPI, vol. 11(14), pages 1-31, July.
    4. Fabrizio M. Amoruso & Udo Dietrich & Thorsten Schuetze, 2019. "Integrated BIM-Parametric Workflow-Based Analysis of Daylight Improvement for Sustainable Renovation of an Exemplary Apartment in Seoul, Korea," Sustainability, MDPI, vol. 11(9), pages 1-29, May.
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    5. Moshood, Taofeeq D. & Rotimi, James OB. & Shahzad, Wajiha & Bamgbade, J.A., 2024. "Infrastructure digital twin technology: A new paradigm for future construction industry," Technology in Society, Elsevier, vol. 77(C).
    6. Pachouri, Vikrant & Singh, Rajesh & Gehlot, Anita & Pandey, Shweta & Vaseem Akram, Shaik & Abbas, Mohamed, 2024. "Empowering sustainability in the built environment: A technological Lens on industry 4.0 Enablers," Technology in Society, Elsevier, vol. 76(C).
    7. Tingchen Fang & Yiming Zhao & Jian Gong & Feiliang Wang & Jian Yang, 2021. "Investigation on Maintenance Technology of Large-Scale Public Venues Based on BIM Technology," Sustainability, MDPI, vol. 13(14), pages 1-18, July.
    8. Ágota Bányai & Tamás Bányai, 2022. "Real-Time Maintenance Policy Optimization in Manufacturing Systems: An Energy Efficiency and Emission-Based Approach," Sustainability, MDPI, vol. 14(17), pages 1-15, August.
    9. Ofelia Vera-Piazzini & Massimiliano Scarpa & Fabio Peron, 2022. "Building Energy Simulation and Monitoring: A Review of Graphical Data Representation," Energies, MDPI, vol. 16(1), pages 1-26, December.
    10. 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.

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