Article
Business
Mohamd Kassem, Ahmed Louay Ahmed
Summary: The adoption of Building Information Modelling (BIM) has benefits at both the micro and macro levels, but there is a lack of research on the interaction between these two levels. This study proposes a new analytical investigation of micro BIM adoption and suggests linking it to macro BIM initiatives, providing a basis for coordinated collaborative efforts in digital transformation programs.
TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE
(2022)
Article
Urban Studies
Gary White, Anna Zink, Lara Codeca, Siobhan Clarke
Summary: A digital twin is a digital representation of a physical process, place, system or device, originally designed for manufacturing processes but now used for smart city planning. By creating digital twin smart cities, the public can view 3D models of cities online to provide feedback, enhancing transparency and interaction in urban planning.
Review
Green & Sustainable Science & Technology
Ada Malagnino, Teodoro Montanaro, Mariangela Lazoi, Ilaria Sergi, Angelo Corallo, Luigi Patrono
Summary: Society is increasingly adopting digital solutions to enhance daily activities, while also recognizing the need to limit the negative environmental impact of the built environment for the Earth and people's wellbeing. The Internet of Things and Building Information Modeling offer innovations in various sectors, enabling data sharing, traceability, and integrated management. This study reviews existing research and technological solutions integrating these topics to make the built environment smarter, proposing a comprehensive modular architecture for future works.
JOURNAL OF CLEANER PRODUCTION
(2021)
Review
Construction & Building Technology
Milad Baghalzadeh Shishehgarkhaneh, Afram Keivani, Robert C. Moehler, Nasim Jelodari, Sevda Roshdi Laleh
Summary: This study utilizes bibliometric analysis and systematic literature review to examine the utilization of Building Information Modeling (BIM), the Internet of Things (IoT), and Digital Twins (DT) in the construction industry. The study identifies the main themes of research and identifies potential areas for future study.
Article
Computer Science, Information Systems
Chenyu Wang, Zhipeng Cai, Yingshu Li
Summary: As the number of IoT devices increases, sustainability is becoming a bottleneck in industrial systems. Digital twin (DT) technology plays a promising role in facilitating interaction between IoT assets and digital services. However, high-fidelity models of DTs require efficient data flows, which are limited by factors such as data collection strategy and energy supply.
IEEE INTERNET OF THINGS JOURNAL
(2023)
Article
Construction & Building Technology
Arva Arsiwala, Faris Elghaish, Mohammed Zoher
Summary: The revolution of the industry 4.0 has brought about a new era of digital transformation for the construction industry, with a focus on digital twins. However, there is a research gap in applying digital twins to achieve net zero emissions, and this study highlights the potential of digital twins in the built environment and the need for use-case analysis.
ENERGY AND BUILDINGS
(2023)
Article
Construction & Building Technology
Mehrzad Shahinmoghadam, Worawan Natephra, Ali Motamedi
Summary: This study investigates the application of digital twins in the field of thermal comfort monitoring and develops an immersive VR application for real-time monitoring of thermal comfort conditions by integrating BIM, IoT, and VR technologies. Through the use of open software tools and a semi-automated method, the real-time calculation of thermal comfort indices and processing of thermal images in real building spaces were successfully achieved.
BUILDING AND ENVIRONMENT
(2021)
Review
Construction & Building Technology
Valerian Vanessa Tuhaise, Joseph Handibry Mbatu Tah, Fonbeyin Henry Abanda
Summary: The construction industry is under enormous pressure to adopt digital solutions, and the digital twin has emerged as a solution to achieve cyber-physical integration and improve decisionmaking. The application of digital twins in construction is still in its early stages but steadily growing. A systematic review of literature is conducted to identify key technologies used in the development of digital twins in construction, research gaps, and potential areas for future research. The study suggests focusing on technologies in data transmission, interoperability and data integration, and data processing and visualization based on the observed research gaps.
AUTOMATION IN CONSTRUCTION
(2023)
Article
Computer Science, Information Systems
Chenyu Wang, Yingshu Li
Summary: With the increasing number of products, budget and testing risk significantly limit the product development process. Digital twin provides an integrated view of the product design process. This article proposes a DT-aided IoT platform design framework for handling tasks of IoT devices through machine learning, addressing challenges in network management and data scarcity.
IEEE INTERNET OF THINGS JOURNAL
(2022)
Article
Automation & Control Systems
Abid Khan, Furqan Shahid, Carsten Maple, Awais Ahmad, Gwanggil Jeon
Summary: Digital twins have been proposed to enhance manufacturing processes, with the goal of benefiting more than 50% of large industries by the end of 2021. However, a common narrative for digital twins is still lacking. To address this, the article presents a detailed framework called spiral DT-framework and suggests using blockchain technology for secure and reliable data management. A new variant of blockchain, called twinchain, is also proposed, which is quantum-resilient and offers immediate transaction confirmation. The article concludes with a framework for deploying twinchain in the manufacturing of a robot surgical machine.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2022)
Article
Automation & Control Systems
Xiaoping Zhou, Kaiyue Sun, Jia Wang, Jichao Zhao, Chiyuan Feng, Yalong Yang, Wei Zhou
Summary: A building digital twin (BDT) is essential for maintaining an up-to-date digital model of a building. This study proposes a novel computer-vision (CV)-enabled BDT scheme using building information modeling (BIM) and camera videos as input, addressing inconsistencies between BIM and camera videos. The proposed scheme jointly detects objects' locations and rotations, computes 3-D locations using 2-D locations, and introduces object matching schemes for addressing inconsistencies. Experimental results demonstrate the effectiveness of the proposed BDT scheme.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2023)
Article
Computer Science, Artificial Intelligence
Jun Zhang, Yonghang Tai
Summary: Medical digital twin (MDT) is a virtual replica of a person that utilizes new technologies to predict health status and provide clinical advice. Ensuring the safety of MDT involves understanding digital twin design and implementing a vulnerability tolerant approach. By combining Haptic-AR navigation and deep learning, a new MDT achieves virtual replica and cyber-human interaction, demonstrating potential in cyber resilience.
CONNECTION SCIENCE
(2022)
Article
Construction & Building Technology
Serdar Durdyev, Mojtaba Ashour, Scott Connelly, Amir Mahdiyar
Summary: This study examines the barriers to the adoption of BIM during the facility management phase in the New Zealand built environment. The cost-related barriers and lack of expertise are identified as the most significant hindrances. The industry stakeholders need to allocate more resources to overcome these barriers and promote the widespread application of BIM for FM.
JOURNAL OF BUILDING ENGINEERING
(2022)
Article
Computer Science, Information Systems
Haya Elayan, Moayad Aloqaily, Mohsen Guizani
Summary: The field of digital smart healthcare has rapidly advanced, with digital twin technology expected to revolutionize the concept of digital healthcare and improve operational efficiency. The implementation of an intelligent healthcare system using the digital twin framework successfully created a classifier model for ECG heart rhythms to diagnose heart disease and detect heart problems.
IEEE INTERNET OF THINGS JOURNAL
(2021)
Article
Green & Sustainable Science & Technology
Rafael Gomes Alves, Rodrigo Filev Maia, Fabio Lima
Summary: This paper presents a digital twin model of a smart irrigation system, which utilizes an internet of things platform and a discrete event simulation model to enable automatic data flow and interaction. The system allows farmers to evaluate the behavior and test different irrigation strategies, leading to improvements in agricultural operations and water usage reduction.
JOURNAL OF CLEANER PRODUCTION
(2023)
Article
Green & Sustainable Science & Technology
John M. Kamara, Oliver Heidrich, Vincenza E. Tafaro, Sebastiano Maltese, Mario C. Dejaco, Fulvio Re Cecconi
Article
Green & Sustainable Science & Technology
Lavinia Chiara Tagliabue, Fulvio Re Cecconi, Sebastiano Maltese, Stefano Rinaldi, Angelo Luigi Camillo Ciribini, Alessandra Flammini
Summary: The EU Green Deal promotes a sustainable transition, with a focus on the built environment and the growing adoption of sustainability assessment. A framework for shifting to a digital twin-based approach is proposed to enable real-time evaluation of various sustainability criteria in a user-centric manner.
Article
Chemistry, Multidisciplinary
Juan Diego Blanco Cadena, Nicola Moretti, Graziano Salvalai, Enrico Quagliarini, Fulvio Re Cecconi, Tiziana Poli
Summary: This study conducted an outdoor meso-scale multi-hazard-based risk analysis to study the aggregated effects of Slow Onset Disaster events on citizens in dense built environments. The findings showed that sensitive groups were at risk of high temperature and pollution separately during certain hours in 2019, with a dual hazard risk emerging during specific timeframes in summer and mid-season.
APPLIED SCIENCES-BASEL
(2021)
Article
Construction & Building Technology
Lavinia Chiara Tagliabue, Fulvio Re Cecconi, Stefano Rinaldi, Angelo Luigi Camillo Ciribini
Summary: The concept of the built environment as a container for human activities has shifted towards focusing on the user's well-being and experience, especially in educational facilities, where indoor air quality significantly impacts learning performance.
ENERGY AND BUILDINGS
(2021)
Article
Construction & Building Technology
Nicola Moretti, Claire Ellul, Fulvio Re Cecconi, Nikolaos Papapesios, Mario Claudio Dejaco
Summary: The digital transformation in management of the built environment is increasingly evident, with the combination of location data from Building Information Modelling and Geographical Information Systems in asset management, known as GeoBIM, remaining unexplored. This study highlights the opportunities and challenges of GeoBIM for condition assessment, and validates the theoretical approach through developing an integrated GeoBIM model for a neighbourhood in Milan, Italy, showcasing the potential for rapid data collection and improved decision-making in asset management.
AUTOMATION IN CONSTRUCTION
(2021)
Article
Green & Sustainable Science & Technology
Massimiliano Manfren, Lavinia Chiara Tagliabue, Fulvio Re Cecconi, Marco Ricci
Summary: Long-term techno-economic performance monitoring of buildings is crucial for reducing costs and environmental impact while ensuring adequate services. This study develops a variable-base degree-days regression model using cost data as a proxy variable to assess the impact of efficiency measures and the evolution of performance over time. The methodology is simple, scalable, and can contribute to the long-term monitoring of building stock in the context of digitalization.
Article
Business, Finance
Luca Rampini, Fulvio Re Cecconi
Summary: This study used machine learning techniques to predict housing prices in two cities in Italy, with results showing that the artificial neural network model performed the best in predicting house prices.
JOURNAL OF PROPERTY INVESTMENT & FINANCE
(2022)
Article
Construction & Building Technology
Fulvio Re Cecconi, Ania Khodabakhshian, Luca Rampini
Summary: In most European countries, residential assets account for a large proportion of the building stock area and are often outdated and energy inefficient. The European Commission has introduced the EU Green Deal to encourage retrofitting of public and private buildings. However, the complex and diverse nature of the building stock makes it difficult to define retrofit policies, with the high cost of acquiring information being a major obstacle. This research proposes a decision support system based on low-cost data-driven approaches, using clustering techniques and Montecarlo simulation to identify energy savings in different retrofit scenarios.
JOURNAL OF BUILDING ENGINEERING
(2022)
Article
Construction & Building Technology
Nicola Moretti, J. D. Blanco Cadena, A. Mannino, T. Poli, F. Re Cecconi
Summary: This article presents a methodology for monitoring occupancy data using a low-cost network composed of ultrasonic sensors, which can help smart buildings dynamically adjust indoor conditions according to occupancy and enhance automation of maintenance management operations.
INTELLIGENT BUILDINGS INTERNATIONAL
(2021)
Article
Environmental Sciences
Franz Bittenbinder, Che Liu, Nicola Moretti, Lavinia C. Tagliabue, Angelo L. C. Ciribini, Fulvio Re Cecconi, Iva Kovacic
JOURNAL OF SUSTAINABLE DEVELOPMENT OF ENERGY WATER AND ENVIRONMENT SYSTEMS-JSDEWES
(2020)
