Sustainable Buildings and Infrastructure using Digital Technologies

Leveraging Digital Twins for Enhanced Efficiency and Environmental Impact
Erscheinungsjahr 2026
ISBN: 978-3-032-30468-1
Verlag: Springer

Buch, Englisch, 545 Seiten, Format (B × H): 155 mm x 235 mm

Reihe: Green Energy and Technology

This book bridges the gap between digital innovation and sustainable development, offering a comprehensive guide to leveraging digital twin technology for smarter, greener buildings and infrastructure. By combining real-world case studies, cutting-edge research, and interdisciplinary insights, it demonstrates how virtual replicas of physical systems can optimize energy efficiency, reduce environmental footprints, and enhance urban resilience. From foundational concepts like Building Information Modelling (BIM) to advanced applications—such as blockchain-secured sustainability assessments and AI-driven occupancy monitoring—the book provides actionable strategies for designing, managing, and retrofitting eco-friendly structures.

Unique chapters on prefabricated modular construction, industrial resource efficiency, and policy frameworks reveal how digital twins empower stakeholders to balance economic growth with environmental stewardship. With a focus on social equity, economic benefits, and global sustainability goals, this book equips policymakers, urban planners, and industry leaders to navigate regulatory landscapes and adopt scalable solutions. Edited by leading experts in data science, AI, and smart energy systems, and a multidisciplinary group of authors, this work combines research and practical experience, from exploring risk management in infrastructure to the societal impacts of digital twins.

Zielgruppe

Research

Autoren/Hrsg.

Varlamis, Iraklis

Himeur, Yassine

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz
• Mathematik | Informatik EDV | Informatik Professionelle Anwendung Computer-Aided Design (CAD)
• Geowissenschaften Umweltwissenschaften Umweltwissenschaften
• Geisteswissenschaften Architektur Ökologische Aspekte in der Architektur
• Mathematik | Informatik Mathematik Numerik und Wissenschaftliches Rechnen Angewandte Mathematik, Mathematische Modelle
• Geowissenschaften Umweltwissenschaften Nachhaltigkeit

Inhaltsverzeichnis

Introduction to digital twins in sustainable construction.- Building information modelling (BIM) fundamentals for sustainability.- Strategic BIM: Governance, policy, and information management for sustainability.- Digital twin in the built environment: Architectures, taxonomies, and lifecyle integration.- Maritime digital twins: Lifecycle intelligence for design, shipping 4.0, and decarbonization.- Energy efficiency through digital twins: Case studies and best practices.- Occupancy monitoring and optimization with digital twins.- Blockchain integration for secure and transparent sustainability assessments.- Resilience and risk management in sustainable infrastructure development: A digital twin perspective.- Data interoperability challenges and solutions for digital twins.- Leveraging digital twin technologies for innovation performance and sustainability in the Nigerian construction industry.- Lifecycle management of buildings with digital Twins: A sustainability perspective .- Environmental impact reduction strategies using digital twins.- Digital twins for positive energy districts: A review of simulation tools and applications.- Future directions and emerging trends in digital twin technology for sustainability.- Policy and regulatory frameworks supporting sustainable digital twin adoption.- Economic benefits of digital twins in sustainable construction projects.- Social impacts of digital twins on sustainable urban development.- The role of digital twins in achieving sustainable development goals.

Über Autor(innen)

Prof. Iraklis Varlamis (Member of IEEE, ACM, ELLIS) is a leading expert in data mining and management, a Professor in Harokopio University of Athens, Greece and the Director of the MPhil Program in Computer Science and Informatics. He holds a Ph.D. from Athens University of Economics and Business, Greece, and an M.Sc. in Information Systems Engineering from UMIST, UK. His research spans data mining, social network analytics, recommender systems, and applications of digital technologies in sustainability. With over 280 publications in top-tier journals and conferences and more than 8,000 citations, his work bridges theoretical innovation and real-world impact. He is listed among the Top 2% Highly Influential Scientists in 2023, and 2024 by Stanford University/Elsevier. He has led interdisciplinary projects at national and EU levels (H2020, ECSEL, REC), focusing on energy efficiency, blockchain, and federated learning. As a scientific coordinator he drives collaborations across academia and industry to advance sustainable infrastructure. His leadership in projects like energy-efficient building management and secure digital twin frameworks underscores his commitment to merging data science with environmental stewardship. Notably, he holds 3 patents related to systems that process Web content.

Yassine Himeur (Senior Member, IEEE) is globally recognized for his significant contributions to Artificial Intelligence, especially in areas where AI intersects with cybersecurity, big data analytics, and energy management. Named among the Top 2% Highly Influential Scientists in 2022, 2023, and 2024 by Stanford University/Elsevier, Dr. Himeur is an Associate Professor at the College of Engineering and Information Technology at the University of Dubai, where he also serves as Director of the Master of Electrical Engineering program. He completed his M.Sc. and Ph.D. in Electrical Engineering in 2011 and 2015, respectively, and earned the Habilitation to Direct Research in 2017, allowing him to supervise research. Dr. Himeur's academic journey includes a postdoctoral fellowship at Qatar University (2019--2022) and a tenure as Senior Researcher and Head of the TELECOM Division at the Algerian Center for Development of Advanced Technologies (CDTA). With over 180 research publications, Dr. Himeur has made valuable contributions to the field, co-leading several research projects funded by the Qatar National Research Fund (QNRF), Qatar University, and the University of Dubai. Among his numerous accolades, he was awarded the Best Research Award for the academic year 2023/2024, the Best Student Paper Award at IEEE GPECOM 2020, and the Best Paper Award at the 11th IEEE SIGMAP in 2014. In his leadership roles, Dr. Himeur is the Publicity Chair for ICSPIS 2024, held from November 12--14, 2024, in Dubai, and the Proceedings Chair for the 10th IEEE BigDataService 2024 in Shanghai, China. He was also the Proceedings Chair for the 9th IEEE BigDataService 2023 in Athens, Greece. He serves as the Special Issue Editor for Internet of Energy and Artificial Intelligence for Sustainable Cities in MDPI Energies and is the Chair of the 4th Workshop on Distributed Machine Learning for the Intelligent Computing Continuum (DML-ICC) at the IEEE/ACM UCC 2024. Additionally, Dr. Himeur chairs the Embedded Intelligence Workshop at the IEEE/ACM BDCAT conference in 2024. Beyond research, he actively teaches Advanced AI, Text Mining, and Research Methods, and supervises PhD and Master’s students. Dr. Himeur also serves as Chair of the IEEE UAE Chapter for Robotics and Autonomous Systems, Control Systems, and Engineering in Medicine and Biology, and is an Associate Editor for Frontiers in Artificial Intelligence.