Integration of Blockchain and Digital Twins in the Smart Built Environment Adopting Disruptive Technologies—A Systematic Review

Abstract

The integration of blockchain and digital twins (DT) for better building-lifecycle data management has recently received much attention from researchers in the field. In this respect, the adoption of enabling technologies such as artificial intelligence (AI) and machine learning (ML), the Internet of Things (IoT), cloud and edge computing, Big Data analytics, etc., has also been investigated in an abundance of studies. The present review inspects the recent studies to shed light on the foremost among those enabling technologies and their scope, challenges, and integration potential. To this end, 86 scientific papers, recognized and retrieved from the Scopus and Web of Science databases, were reviewed and a thorough bibliometric analysis was performed on them. The obtained results demonstrate the nascency of the research in this field and the necessity of further implementation of practical methods to discover and prove the real potential of these technologies and their fusion. It was also found that the integration of these technologies can be beneficial for addressing the implementation challenges they face individually. In the end, an abstract descriptive model is presented to provide a better understanding of how the technologies can become integrated into a unified system for smartening the built environment.

Publication DOI: https://doi.org/10.3390/su15043713
Divisions: College of Engineering & Physical Sciences > School of Infrastructure and Sustainable Engineering > Civil Engineering
Additional Information: Copyright © 2023 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/).
Uncontrolled Keywords: Internet of Things,artificial intelligence,blockchain,building industry,digital twin,technology fusion,Computer Science (miscellaneous),Geography, Planning and Development,Renewable Energy, Sustainability and the Environment,Building and Construction,Environmental Science (miscellaneous),Energy Engineering and Power Technology,Hardware and Architecture,Computer Networks and Communications,Management, Monitoring, Policy and Law
Publication ISSN: 2071-1050
Last Modified: 28 Feb 2024 08:28
Date Deposited: 01 Mar 2023 16:52
Full Text Link:
Related URLs: https://www.mdp ... -1050/15/4/3713 (Publisher URL)
PURE Output Type: Review article
Published Date: 2023-02-17
Accepted Date: 2023-02-10
Authors: Sadri, Habib
Yitmen, Ibrahim
Tagliabue, Lavinia Chiara
Westphal, Florian
Tezel, Algan (ORCID Profile 0000-0003-3903-6126)
Taheri, Afshin
Sibenik, Goran

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