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© 2024 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.

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.

Details

Title
AI-Powered Digital Twins and Internet of Things for Smart Cities and Sustainable Building Environment
Author
Alnaser, Aljawharah A 1 ; Maxi, Mina 2   VIAFID ORCID Logo  ; Elmousalami, Haytham 3 

 Department of Architecture and Building Science, Collage of Architecture and Planning, King Saud University, Riyadh 11574, Saudi Arabia 
 Industrial Ecology, Energy and Process Engineering, Norwegian University of Science and Technology (NTNU), 7034 Trondheim, Norway; [email protected] 
 Infrastructure Department, Faculty of Engineering and IT, University of Melbourne, Parkville, VIC 3010, Australia; [email protected]; Projects Section Head and PMP at General Petroleum Company (GPC), Cairo 743, Egypt 
First page
12056
Publication year
2024
Publication date
2024
Publisher
MDPI AG
e-ISSN
20763417
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
3149516105
Copyright
© 2024 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.