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Digital Twins for Reducing Energy Consumption in Buildings: A Review

Author

Listed:
  • Buddhika Arsecularatne

    (School of Architecture and Civil Engineering, The University of Adelaide, Adelaide, SA 5005, Australia)

  • Navodana Rodrigo

    (School of Architecture and Civil Engineering, The University of Adelaide, Adelaide, SA 5005, Australia)

  • Ruidong Chang

    (School of Architecture and Civil Engineering, The University of Adelaide, Adelaide, SA 5005, Australia)

Abstract

This research investigates the use of digital twin (DT) technology to improve building energy management and analyse occupant behaviour. DTs perform the function of acting as virtual replicas of physical assets, which facilitates real-time monitoring, predictive maintenance, and data-driven decision-making. Consequently, energy performance and occupant comfort can be enhanced. This study evaluates the efficiency of DTs in optimising energy usage by a mix of a systematic literature review and scientometric analysis of 466 articles from the Scopus database. Among the main obstacles noted are interoperability issues, privacy and data quality difficulties, and the requirement for a more thorough integration of digital and physical interactions. The results highlight the necessity of standardised frameworks to direct DT implementations and suggest areas for further study, especially in the areas of improving cybersecurity and incorporating occupant behaviour into DT models. This research makes practical recommendations for using DT technology to increase energy efficiency and sustainability in the built environment.

Suggested Citation

  • Buddhika Arsecularatne & Navodana Rodrigo & Ruidong Chang, 2024. "Digital Twins for Reducing Energy Consumption in Buildings: A Review," Sustainability, MDPI, vol. 16(21), pages 1-16, October.
    • Handle: RePEc:gam:jsusta:v:16:y:2024:i:21:p:9275-:d:1506754
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    References listed on IDEAS

    as
    1. Fengyi Han & Fei Du & Shuo Jiao & Kaifang Zou, 2024. "Predictive Analysis of a Building’s Power Consumption Based on Digital Twin Platforms," Energies, MDPI, vol. 17(15), pages 1-19, July.
    2. Bavithra Karunanidhi & Latha Ramasamy & Albert Alexander Stonier & Charles Raja Sathiasamuel & Zhiwen Chen, 2024. "Development of a Digital Twin Framework for a PV System to Resolve Partial Shading," Mathematical Problems in Engineering, Hindawi, vol. 2024, pages 1-15, February.
    3. Cui Li & Ping Lu & Weiran Zhu & Han Zhu & Xinmin Zhang, 2023. "Intelligent Monitoring Platform and Application for Building Energy Using Information Based on Digital Twin," Energies, MDPI, vol. 16(19), pages 1-13, September.
    4. David Moher & Alessandro Liberati & Jennifer Tetzlaff & Douglas G Altman & The PRISMA Group, 2009. "Preferred Reporting Items for Systematic Reviews and Meta-Analyses: The PRISMA Statement," PLOS Medicine, Public Library of Science, vol. 6(7), pages 1-6, July.
    5. Yutong Tang & Fengyu Gao & Chen Wang & Merit M. Huang & Mabao Wu & Heng Li & Zhuo Li, 2023. "Vertical Greenery System (VGS) Renovation for Sustainable Arcade-Housing: Building Energy Efficiency Analysis Based on Digital Twin," Sustainability, MDPI, vol. 15(3), pages 1-16, January.
    6. Alessandro Liberati & Douglas G Altman & Jennifer Tetzlaff & Cynthia Mulrow & Peter C Gøtzsche & John P A Ioannidis & Mike Clarke & P J Devereaux & Jos Kleijnen & David Moher, 2009. "The PRISMA Statement for Reporting Systematic Reviews and Meta-Analyses of Studies That Evaluate Health Care Interventions: Explanation and Elaboration," PLOS Medicine, Public Library of Science, vol. 6(7), pages 1-28, July.
    7. Aguilera, José Joaquín & Meesenburg, Wiebke & Markussen, Wiebke Brix & Zühlsdorf, Benjamin & Elmegaard, Brian, 2024. "Real-time monitoring and optimization of a large-scale heat pump prone to fouling - towards a digital twin framework," Applied Energy, Elsevier, vol. 365(C).
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