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The Role of Digital Twins and Their Application for the Built Environment

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Industry 4.0 for the Built Environment

Part of the book series: Structural Integrity ((STIN,volume 20))

Abstract

The building’s digital twin has been proposed as a solution for solving significant challenges in various areas of the built environment, especially the facility management (FM) one. There are already some commercial solutions on the market that vendors call digital twins, and several researchers have presented their proposals. Those are different in terms of use, content, and technical implementation, as nowadays a comprehensive definition does not exist. Most of the presented solutions are vendor and software dependent, and usually, they are offering a mere 3D graphical user interface (GUI) visualizing spaces and conditions. Although those can help a facility engineer monitor an asset’s performance, they are not real digital twins. This chapter intends to define the digital twin’s vision and show how to utilize it in facility management. Thus, the requirements on specifications for building information modeling (BIM) and field data are presented. Finally, it is shown how the introduction of a digital twin revolutionizes buildings’ maintenance and the management of energy efficiency and indoor conditions.

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References

  1. Al-Ali, A.R., Gupta, R., Al Nabulsi, A.: Cyber physical systems role in manufacturing technologies. In: AIP Conference Proceedings, vol. 1957(1). pp. 1–7 (2018)

    Google Scholar 

  2. Dawkins, O., Hudson-Smith, A., Dennet, A.: Living with a Digital Twin: Operational management and engagement using IoT and Mixed Realities at UCL’s Here East Campus on the Queen Elizabeth Olympic Park. Centre for Advanced Spatial Analysis (CASA), University College London, UK (2018)

    Google Scholar 

  3. Halmetoja, E., Forns-Samso, F.: Evaluating graphical user interfaces for buildings. J. Corp. Real Estate (2020). https://doi.org/10.1108/JCRE-08-2019-0037lastaccessed2020/9/11

    Article  Google Scholar 

  4. Warnick, J.: 88 Acres: How Microsoft Quietly Built the city of the Future. Microsoft Corporation (2015). https://www.microsoft.com/en-us/stories/88acres/ last accessed 2020/13

  5. IBM: Creating a building’s ‘digital twin’ Internet of Things blog (2017). https://www.ibm.com/blogs/internet-of-things/creating-buildings-digital-twin/ last accessed 2020/10/16

  6. Nasaruddin, A.N., Tee, B.T., Ito, T.: Digital Twin Approach to Building Information Management. Tokushima University, Universiti Teknikal, Malaysia, Melaka (2018)

    Book  Google Scholar 

  7. Kaewunruen, S., Rungskunroch, P., Welsh, J.: `A digital-twin evaluation of net zero energy building for existing buildings. Sustainability 11(1), 159 (2018). http://www.mdpi.com/2071-1050/11/1/159 last accessed 2020/8/11

  8. Halmetoja, E.: Improving perceived indoor conditions using building information models and field data. Doctoral dissertation, Aalto University, Department of Civil Engineering, pp. 36–38, 57–58, 62–63 (2020). http://urn.fi/URN:ISBN:978-952-60-3934-3 last accessed 2020/11/15

  9. Montuschi, P., Sanna, A., Lamberti, F., Paravati, G. Human-computer interaction: present and future trends. Computing Now 7(9) (2014) (IEEE Computer Society). http://www.computer.org/web/computingnow/archive/september2014 last accessed 2020/10/29

  10. Alavi, H.S., Lalanne, D., Nembrini, J., Churchill, E., Kirk, D., Moncur, W. Future of Human-Building Interaction. CHI’16 Extended Abstracts, May 7–12, 2016, San Jose, CA, USA. ACM 978-1-4503-4082-3/16/05 (2016). http://dx.doi.org/https://doi.org/10.1145/2851581.2856502 last accessed 2020/10/20

  11. Niskanen, I., Purhonen, A, Kuusijärvi, J., Halmetoja, E.: Towards enhanced facility data management. IEEE World Forum on Internet of Things, WF-IoT 2013, scientific article (2013)

    Google Scholar 

  12. Dave, B., Buda, A., Nurminen, A., Främling, K.: A framework for integrating BIM and IoT through open standards. Autom. Constr. 95, 35–45 (2018)

    Article  Google Scholar 

  13. Eastman, C., Teicholz, P., Sacks, R., Liston, K.: BIM Handbook: A Guide to Building Information Modelling for Owners, Managers, Designers, Engineers and Contractors, 2nd edn., pp. 70–97. Wiley, New Jersey, USA (2011)

    Google Scholar 

  14. Chen, W., Chen, K., Cheng, J.C.P., Wang, Q., Gan, V.J.L.: BIM-based framework for automatic scheduling of facility maintenance work orders. Autom. Constr. 91, 15–30 (2018)

    Article  Google Scholar 

  15. Alexander, K.: Facilities Management: Theory and Practice. Routledge, New York (2013)

    Book  Google Scholar 

  16. Meng, X.: Facilities management: tracing its development trajectory. Property Manage. 33(3) (2015)

    Google Scholar 

  17. Atkin, B., Brooks, A.: Total Facilities Management, 3rd edn. Wiley and Blackwell, Hong Kong (2009)

    Google Scholar 

  18. ISO 41011:2017en: Facility management (2017). https://www.iso.org/obp/ui/#iso:std:68167:en last accessed 2020/10/22

  19. EN 15221-1:2006. Facility Management-Part 1: Terms and Definitions. CEN, p. 15 (2006)

    Google Scholar 

  20. Aziz, N.D., Nawawi, A.H., Ariff, N.R.M.: Building Information Modelling (BIM) in Facilities Management: Opportunities to be Considered by Facility Managers. Universiti Teknologi MARA (UiTM) Shah Alam, Malaysia (2016)

    Google Scholar 

  21. Motawa, I., Almarshad, A.: A Knowledge-Based BIM System for Building Maintenance. School of the Built Environment, Heriot-Watt University, Riccarton Campus, Edinburgh, UK (2018)

    Google Scholar 

  22. Heaton, J., Parlikad, A.K., Schooling, J.: Design and development of BIM models to support operations and maintenance. Comput. Ind. 111, 172–186 (2019). https://doi.org/10.1016/j.compind.2019.08.001lastaccessed2020/10/22

    Article  Google Scholar 

  23. Kang, W., Choi H.S.: BIM-based data mining method considering data integration and function extension. J. Civil Eng. 22(5), 1523–1534 (2018)

    Google Scholar 

  24. COBIM2012 Common BIM Requirements, Series 2: Modelling of the starting situation, Rakennustieto, Finland (2012). https://buildingsmart.fi/wp-content/uploads/2016/11/cobim_2_inventory_bim_v1.pdf last accessed 2020/10/20

  25. Nguyen, H.T.: Integration of BIM and IoT to improve building performance for occupants’ perspective, KTH Royal Institute of Technology, Stockholm, Sweden, Master’s thesis in Real estate and construction management, pp. 55–73 (2016)

    Google Scholar 

  26. Rowland, S.: BIM to IoT: the persistence problem, ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering. MSA. Springer, Stockholm Sweden, pp. 127–137 (2016)

    Google Scholar 

  27. Ihasalo, H.: Transforming building automation data into building performance metrics—design, implementation and evaluation of use of a performance monitoring and management system, Doctoral dissertation, Aalto University, Espoo, Finland, pp. 33 (2012)

    Google Scholar 

  28. Bhusari, S., Watts, M.: Value Proposition of FDD Solutions Automated Diagnostics and Analytics for Buildings, pp. 179–185. Taylor & Francis, London, UK (2014)

    Google Scholar 

  29. Allen, P., Remke, R., Green, D.: Using Custom Programs to Enhance Building Diagnostics and Energy Savings Automated Diagnostics and Analytics for Buildings, pp. 137–147. Taylor & Francis, London, UK (2014)

    Google Scholar 

  30. Veronica, D.A.: Automatically Detecting Faulty Regulation in HVAC Controls Automated Diagnostics and Analytics for Buildings, pp. 453–465. Taylor & Francis, London, UK (2014)

    Google Scholar 

  31. Grace, A.: ClockworksTM Automated HVAC Diagnostics and the Evolution of AFDD Tools Automated Diagnostics and Analytics for Buildings, pp. 397–410. Taylor & Francis, London, UK (2014)

    Google Scholar 

  32. The Ultimate List of Internet of Things Statistics for 2021 by Jack Steward. https://findstack.com/internet-of-things-statistics/ last accessed 2021/8/10

  33. Colakovic, A., Hadžialic, M.: Internet of Things (IoT): a review of enabling technologies, challenges, and open research issues. Comput. Netw. 144(2018), 17–39 (2018)

    Article  Google Scholar 

  34. Rogers, E.A., Elliott. R.N., Kwatra, S., Trombley, D., Nadadur, V.: Intelligent Efficiency: Opportunities, Barriers and Solutions. American Council for an Energy-Efficient Economy, Washington DC, USA (2013)

    Google Scholar 

  35. Wang, S.: Intelligent Buildings and Building Automation, pp. 18–24. Spon Press, Abingdon, Oxon, GB (2010)

    Google Scholar 

  36. Cheng, C-C., Lee, D.: Smart Sensors Enable Smart Air Conditioning Control. MDPI, Basel, Switzerland (2014). https://doi.org/10.3390/s140611179 last accessed 2020/9/11

  37. Österlind, F., Pramsten, E., Roberthson, D., Eriksson, J., Finne, N., Voigt, T.: Integrating building automation systems and wireless sensor networks. SICS Tech. Rep. T2007, 04 (2007)

    Google Scholar 

  38. ISO 19650-2: Organization of information about construction works – Information management using building information modelling – Part 5: Security-minded approach to information management (2018)

    Google Scholar 

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Halmetoja, E. (2022). The Role of Digital Twins and Their Application for the Built Environment. In: Bolpagni, M., Gavina, R., Ribeiro, D. (eds) Industry 4.0 for the Built Environment. Structural Integrity, vol 20. Springer, Cham. https://doi.org/10.1007/978-3-030-82430-3_18

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  • DOI: https://doi.org/10.1007/978-3-030-82430-3_18

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