Digital Twin Technology for the Energy Sector: Fundamentals, Advances, Challenges, and Applications

Digital Twin Technology for the Energy Sector: Fundamental, Advances, Challenges, and Applications introduces the energy sector to this innovative technology and its potential for supporting energy transition. The book outlines the fundamentals of digital twin technology (DTT), giving readers a thorough grounding in its theory and use. Additional chapters provide practical, real-world options for applying the technology in a variety of energy sectors, from wind, solar, and hydropower, to the electrical industry and mobility. Its potential uses for energy flexibility, managing supply and demand in electric grids, and energy modeling in real time are also given significant attention.

Including insights from a wide range of expert researchers and industry professionals, this book will guide readers from their first steps in DTT to developing innovative applications for the energy sector of the future.

Mohammadreza Aghaei is a distinguished senior researcher and Professor
with more than 18 years of experience and expertise spanning multidisciplinary
fields, including energy transition, energy systems integration, renewables,
solar photovoltaics, smart buildings and grids, as well as smart
technologies such as artificial intelligence, Internet of Things, digital twin,
unmanned aerial vehicles, autonomous control systems, and intelligent monitoring.
His extensive academic journey includes affiliations with prestigious
institutions such as Politecnico di Milano, Fraunhofer ISE, Helmholtz-
Zentrum Berlin, Eindhoven University of Technology, University of
Freiburg, and Norwegian University of Science and Technology.
Throughout his career, Professor Aghaei has been actively engaged in
numerous national and EU-funded research projects, showcasing his commitment
to advancing knowledge and innovation in the field. Presently, he
serves as the Coordinator of the EU Horizon 2020 project "COLLECTiEF" -
Collective Intelligence for Energy Flexibility, demonstrating his leadership
and expertise in spearheading large-scale initiatives. A senior member of
IEEE, he has authored more than 150 publications in internationally refereed
journals, book chapters, and conference proceedings. His contributions have
significantly impacted the academic community and the broader field of
energy research, cementing his reputation as a leading authority in the
domain.

Amin Moazami is a pioneering researcher in smart buildings and energy
flexibility and application of distributed intelligence (swarm intelligence, collective intelligence, and multiagent systems) for energy management. He
is a Research Manager in Sintef. He was also appointed as an Associate
Professor in the Department of Ocean Operations and Civil Engineering at
NTNU and as the Head of the Energy Management and Efficiency Research
Group (EMERGE). He has strong experience in building performance simulation,
energy flexibility, climate robustness and resilience in buildings,
occupant behavior, and so on. He was the Coordinator of COLLECTiEF
project and was actively involved in several national and international projects.
In 2019, he has been awarded an innovation grant (innovasjonsstipend,
2019) for the proposal "A simulation-based tool for development of
Collective Intelligence (CI) at urban scale to mitigate the impacts of extreme
climate conditions," focusing on developing a new solution for increasing
the energy demand flexibility of urban areas.

Gabriele is an emerging researcher in renewable energy, with a focus on the
digitalization of solar energy in the built environment. His background is
grounded on building engineer and architecture knowledge and his expertise
convers solar energy systems integration at building and district level, urban
energy planning, smart cities, climate-based solutions, mitigation, and adaptation
strategies, and environmental, microclimate, and energy analyses.
He is contributing to advance the state-of-the-art of solar energy exploration
and integration through the definition of solar neighborhoods' archetypes,
approaches, methods, and tools to accelerate the use of solar energy in
built environments. Gabriele coordinated the Subtask C "Case studies and
action research" in the IEA Task 51 Solar Energy in Urban Planning and
now he is coordinating the Subtask D "Case studies" in the IEA Task 63
Solar Neighbourhood Planning and the activity A3 - BIPV in our society
within IEA PVPS Task 15 - Enabling Framework for the Development of
BIPV. Gabriele has experienced in several national (REINVENT and
HELIOS), European (Exploit4InnoMat, RAMSES, and CoSSMic), and international
research projects (SEniC, SiNoPSE, and iSTAR). Gabriele has co-/
author of more than 65 publications, including research and review articles
in international high-impact peer-reviewed journals, national and international
conference proceedings, book chapters, and books.

Professor Umit Cali is a distinguished technology researcher with more than 20 years of global experience in IT law, energy systems, blockchain, and data science. His career includes impactful roles such as Network Engineer at IBM International, Senior Researcher at the Fraunhofer Institute, and CTO for KREEN Renewables GmbH. Currently, he is a Professor and Chair in digital engineering at the University of York and a Part-Time Professor of energy informatics at NTNU. Umit pioneered merging technology with social systems, notably in artificial intelligence, digital privacy, cyber law, and blockchain. He led IEEE groups on these fronts and founded startups in the United States and Switzerland focusing on digital solutions for the energy sector. He holds three patents, has authored books on digital energy sector transformation, and is enhancing his expertise with an LLM in digital law at the University of Go]ttingen, expected by May 2024. His journey began with an Electrical Engineering degree from Yildiz Technical University and a PhD from the University of Kassel in Germany.