Review
Green & Sustainable Science & Technology
M. R. Mahendrini Fernando Ariyachandra, Gayan Wedawatta
Summary: Natural hazard-induced disasters have caused catastrophic damage and loss, and there is a huge demand for digitalisation in disaster risk management. Digital Twin (DT) is a promising technology for multi-stage management, and Digital Twin Smart Cities (DTSCs) can be created with the combination of DTs and big data from sensors in Smart Cities (SCs). This paper reviews the current status of DTSC technologies, evaluates their benefits and challenges, and contributes to the advancement of these technologies in future research.
Article
Engineering, Civil
Siyi Liao, Jun Wu, Ali Kashif Bashir, Wu Yang, Jianhua Li, Usman Tariq
Summary: This paper proposes a blockchain-enabled Digital Twin as a Service (DTaaS) for Intelligent Transportation Systems (ITS), which utilizes the sensing capabilities of ITS and the macro perspective of DT to achieve optimal DT matching and ensure participants' benefits. In addition, a permissioned blockchain and DT-DPoS consensus mechanism are employed to enhance security and efficiency.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2022)
Review
Construction & Building Technology
Charlotte Weil, Simon Elias Bibri, Regis Longchamp, Francois Golay, Alexandre Alahi
Summary: Urban Digital Twin (UDT) is a technology with great potential to transform the management and planning of sustainable smart cities. However, there are various challenges to its implementation, such as interoperability, infrastructure, data acquisition and quality, modeling, and human resources. This study provides a systematic literature review on the key challenges and open issues pertaining to the implementation of UDTs, aiming to inform practitioners about the bottlenecks delaying its implementation.
SUSTAINABLE CITIES AND SOCIETY
(2023)
Article
Computer Science, Hardware & Architecture
Wenhua Huang, Yajuan Zhang, Wen Zeng
Summary: This paper studies the application of digital twin technology in the integrated regional energy system of smart cities, proposing the basic concept and construction method of digital twin, and demonstrating its importance in energy internet planning.
SUSTAINABLE COMPUTING-INFORMATICS & SYSTEMS
(2022)
Article
Energy & Fuels
Bohan Li, Weijun Tan
Summary: This study addresses the challenges of integrating PV systems and wind energy sources into smart city power grids. It investigates microgrid energy management using probabilistic and deterministic assumptions, and employs digital twin simulations to enhance energy planning and decision-making. The proposed framework considers objective functions related to cost reduction and voltage stability enhancement, and applies the whale optimization algorithm (WOA) to solve the energy management problem.
Article
Engineering, Electrical & Electronic
Elif Ak, Kubra Duran, Octavia A. Dobre, Trung Q. Duong, Berk Canberk
Summary: Efficient predictive management and what-if analysis are crucial for achieving a net-zero waste target in smart cities. The use of digital twin with enhanced learning capabilities can provide highly accurate predictions for waste-to-energy and truck routing, facilitating the net-zero goals. However, the lack of a unified communication model for digital twin hinders the synchronization between physical and digital replicas. To address this issue, we propose a networking framework called T6CONF, based on IPv6 infrastructure, to enable end-to-end communication and synchronization in resource-constrained IoT networks. Additionally, T6CONF serves specific net-zero waste services and improves the accuracy of service layer operations.
IEEE COMMUNICATIONS MAGAZINE
(2023)
Article
Computer Science, Interdisciplinary Applications
Linbei Jiang, Shaohui Su, Xin Pei, Changyong Chu, Yiming Yuan, Kuan Wang
Summary: Digital twin (DT) is a dynamic intelligent system that combines virtual and realistic models with multiple data sources to monitor product operation status and predict product life in smart manufacturing. However, most current DT modeling approaches focus on individual objects and lack modeling approaches for the whole life cycle and multiple objects, hindering the mining and utilization of data from all aspects of products. This paper proposes a part-level DT modeling approach based on PLM/PDM theory, integrating property, process, simulation, and feedback models within a digital thread communication framework.
COMPUTERS & INDUSTRIAL ENGINEERING
(2023)
Article
Information Science & Library Science
Chao Fan, Cheng Zhang, Alex Yahja, Ali Mostafavi
Summary: This paper introduces a vision for a Disaster City Digital Twin paradigm, aiming to facilitate interdisciplinary convergence, integrate AI algorithms, and enhance visibility into disaster management and humanitarian actions. The proposed paradigm consists of four main components, with a focus on examining the current state of the art related to AI methods and approaches for each component.
INTERNATIONAL JOURNAL OF INFORMATION MANAGEMENT
(2021)
Article
Chemistry, Analytical
Seong-Jin Yun, Jin-Woo Kwon, Won-Tae Kim
Summary: Disaster management systems require accurate disaster monitoring and prediction services to reduce damages caused by natural disasters. This study proposes a digital twin architecture that provides accurate disaster prediction services using a similarity-based hybrid modeling scheme, which reduces prediction errors by approximately 50%.
Article
Energy & Fuels
Mohamed Lotfi, Tiago Almeida, Mohammad S. Javadi, Gerardo J. Osorio, Claudio Monteiro, Joao P. S. Catalao
Summary: This study proposes and models the coordination between home energy management systems (HEMSs) and EV parking lot management systems (PLEMS), achieving optimal energy management through partially sharing individual EV schedules and without sharing private information. The results show that this coordination framework is both technically and economically beneficial for power grids and EV owners.
Article
Biotechnology & Applied Microbiology
Muhammad Saidu Aliero, Kashif Naseer Qureshi, Muhammad Fermi Pasha, Gwanggil Jeon
Summary: 44% of global energy is derived from fossil fuels, with the building sector being identified as a primary energy consumer facing challenges in excess energy consumption. Poor management practices and strategies have led to health risks. Smart Home Energy Management Systems are key in addressing unnecessary energy consumption and ensuring a healthy living environment.
ENVIRONMENTAL TECHNOLOGY & INNOVATION
(2021)
Article
Computer Science, Artificial Intelligence
Wenjie Jia, Wei Wang, Zhenzu Zhang
Summary: The digital twin has gained widespread attention in recent years as a key tool for digitalization and intelligence, but has become increasingly complex due to the expanding needs for multi-scale and multi-scenario simulations in reality. This paper proposes a novel modeling method for complex digital twins based on standardized processing of model division and assembly, enabling the construction of intricate digital twin models with effective elements in specific scales and scenarios through information fusion, multi-scale association, and multi-scenario iterations. This approach also allows for rapid development of digital twins through component and code reuse.
ADVANCED ENGINEERING INFORMATICS
(2022)
Review
Computer Science, Interdisciplinary Applications
Yoo Ho Son, Goo-Young Kim, Hyeon Chan Kim, Chanmo Jun, Sang Do Noh
Summary: In this study, previous research on digital twin (DT) was analyzed and classified based on various phases of product lifecycle management, the application field of DT in manufacturing, and the hierarchy level axis of Reference Architecture Model Industry 4.0. The major functions of DT were identified and future research directions and a system architecture to perform all DT functions were proposed.
JOURNAL OF COMPUTATIONAL DESIGN AND ENGINEERING
(2022)
Article
Computer Science, Artificial Intelligence
Hao Wang, Xiaowei Chen, Fu Jia, Xiaojuan Cheng
Summary: A city serves as a carrier of multiple sources of real-time data and information. To effectively manage smart cities, a system is needed to obtain and manage data from different physical objects. The use of digital twin (DT) technology, which involves virtual representations updated in real-time and decision-making support, can address this need. This study reviews 202 papers on DT-supported smart cities, identifies the challenges and solutions, and explores the potential outcomes of applying DT-supported technologies.
EXPERT SYSTEMS WITH APPLICATIONS
(2023)
Article
Computer Science, Information Systems
Abir El Azzaoui, Sekione Reward Jeremiah, Neal N. Xiong, Jong Hyuk Park
Summary: The Internet of Vehicle (IoV) is an emerging technology that aims to revolutionize smart transportation in future smart cities. It utilizes advanced information and communication technologies to improve traffic management, reduce congestion, enhance safety, and maximize the efficiency of transport networks. However, the high carbon emissions from the transportation system pose a challenge, and electric vehicles alone are not a sustainable solution. This paper proposes a decentralized trust management solution for IoV systems to address these challenges and reduce both carbon footprint and computational power requirements.
INFORMATION SCIENCES
(2023)
