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Architectural Reply for Smart Building Design Concepts Based on Artificial Intelligence Simulation Models and Digital Twins

Author

Listed:
  • Amjad Almusaed

    (Department of Construction Engineering and Lighting Science, School of Engineering, Jönköping University, 551 11 Jönköping, Sweden)

  • Ibrahim Yitmen

    (Department of Construction Engineering and Lighting Science, School of Engineering, Jönköping University, 551 11 Jönköping, Sweden)

Abstract

Artificial Intelligence (AI) simulation models and digital twins (DT) are used in designing and treating the activities, layout, and functions for the new generation of buildings to enhance user experience and optimize building performance. These models use data about a building’s use, configuration, functions, and environment to simulate different design options and predict their effects on house function efficiency, comfort, and safety. On the one hand, AI algorithms are used to analyze this data and find patterns and trends that can guide the design process. On the other hand, DTs are digital recreations of actual structures that can replicate building performance in real time. These models would evaluate alternative design options, the performance of the building, and ways to improve user comfort and building efficiency. This study examined the important role of intelligent building design aspects, such as activities using multi-layout and the creation of particular functions based on AI simulation models, in developing DT-based smart building systems. The empirical data came from a study of architecture and engineering firms throughout the globe using a CSAQ (computer-administered, self-completed survey). For this purpose, the study employed structural equation modeling (SEM) to examine the hypotheses and build the relationship model. The research verifies the relevance of AI-based simulation models supporting the creation of intelligent building design features (activities, layout, functionalities), enabling the construction of DT-based smart building systems. Furthermore, this study highlights the need for further exploration of AI-based simulation models’ role and integration with DT in smart building design.

Suggested Citation

  • Amjad Almusaed & Ibrahim Yitmen, 2023. "Architectural Reply for Smart Building Design Concepts Based on Artificial Intelligence Simulation Models and Digital Twins," Sustainability, MDPI, vol. 15(6), pages 1-20, March.
  • Handle: RePEc:gam:jsusta:v:15:y:2023:i:6:p:4955-:d:1093617
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    References listed on IDEAS

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    5. Erfaneh Allameh & Mohammadali Heidari Jozam & Bauke de Vries & Harry J.P. Timmermans & Jakob Beetz, 2011. "Smart Home as a smart real estate, A state of the art review," ERES eres2011_103, European Real Estate Society (ERES).
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    7. Ewert, Michael & Brodowicz, Dominika P. & Pospieszny, Przemyslaw, 2018. "Artificial Intelligence and machines : A curse or blessing for corporate real estate?," Corporate Real Estate Journal, Henry Stewart Publications, vol. 7(4), pages 337-351, June.
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    Cited by:

    1. Amjad Almusaed & Asaad Almssad & Asaad Alasadi & Ibrahim Yitmen & Sammera Al-Samaraee, 2023. "Assessing the Role and Efficiency of Thermal Insulation by the “BIO-GREEN PANEL” in Enhancing Sustainability in a Built Environment," Sustainability, MDPI, vol. 15(13), pages 1-25, July.
    2. Amjad Almusaed & Ibrahim Yitmen & Asaad Almssad, 2023. "Reviewing and Integrating AEC Practices into Industry 6.0: Strategies for Smart and Sustainable Future-Built Environments," Sustainability, MDPI, vol. 15(18), pages 1-27, September.

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