AI-Powered Digital Twins and Internet of Things for Smart Cities and Sustainable Building Environment

This systematic literature review explores the intersection of AI-driven digital twins and IoT in creating a sustainable building environment. A comprehensive analysis of 125 papers focuses on four major themes. First, digital twins are examined in construction, facility management, and their role in fostering sustainability and smart cities. The integration of IoT and AI with digital twins and energy optimization for zero-energy buildings is discussed. Second, the application of AI and automation in manufacturing, particularly in Industry 4.0 and cyber-physical systems, is evaluated. Third, emerging technologies in urban development, including blockchain, cybersecurity, and EEG-driven systems for sustainable buildings, are highlighted. The study underscores the role of data-driven approaches in flood resilience and urban digital ecosystems. This review contributes to sustainability by identifying how digital technologies and AI can optimize energy use and enhance resilience in both urban and industrial contexts.

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Institutions

Publication Details

Journal
Applied Sciences
Published
2024-12-23
DOI
https://doi.org/10.3390/app142412056
Citations
75
Primary Topic
Infrastructure Maintenance and Monitoring
Type
article
Field-Weighted Citation Impact
19.57
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article

AI-Powered Digital Twins and Internet of Things for Smart Cities and Sustainable Building Environment

Mina Maxi, Haytham H. Elmousalami, Aljawharah A. Alnaser
75 citations
Applied Sciences
Infrastructure Maintenance and Monitoring
19.57
article

AI-Powered Digital Twins and Internet of Things for Smart Cities and Sustainable Building Environment

Mina Maxi, Haytham H. Elmousalami, Aljawharah A. Alnaser
article en
75 citations

Abstract

This systematic literature review explores the intersection of AI-driven digital twins and IoT in creating a sustainable building environment. A comprehensive analysis of 125 papers focuses on four major themes. First, digital twins are examined in construction, facility management, and their role in fostering sustainability and smart cities. The integration of IoT and AI with digital twins and energy optimization for zero-energy buildings is discussed. Second, the application of AI and automation in manufacturing, particularly in Industry 4.0 and cyber-physical systems, is evaluated. Third, emerging technologies in urban development, including blockchain, cybersecurity, and EEG-driven systems for sustainable buildings, are highlighted. The study underscores the role of data-driven approaches in flood resilience and urban digital ecosystems. This review contributes to sustainability by identifying how digital technologies and AI can optimize energy use and enhance resilience in both urban and industrial contexts.

Applied SciencesVol. 14(24)
The University of Melbourne (AU), Norwegian University of Science and Technology (NO), King Saud University (SA), Egyptian Petroleum Research Institute (EG)
Openalex Percentile: Top 0%
Infrastructure Maintenance and Monitoring
19.57
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