Digital Twin Technology for the Energy Sector
Elsevier - Health Sciences Division (Verlag)
978-0-443-14070-9 (ISBN)
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.
1. Introduction to Emerging Technologies for Energy Transition 2. Digital Twin Technology: Fundamentals Aspects and Advances 3. Cybersecurity and Digital Privacy Aspects of Digital Twin Approaches 4. Digital Twin Technology in the Electrical Power Industry 5. Digital Twin Technology in Microgrid Systems 6. Digital Twin In Design And Control Optimization Of Marine Renewable Energy And Offshore Wind Energy Systems 7. Co-simulation and visualization aspects of digital twin for wind farms 8. Enhancing Wind Farm Energy Prediction through Digital Twin Integration 9. Digital Twin Technology in Solar Energy 10. Digital Twins for Hydropower Applications 11. Digital Twin Technology for Energy Flexibility and Saving 12. Electric Mobility and Beyond: Advancing Charging Infrastructure Optimization with Digital Twins
Erscheinungsdatum | 20.11.2024 |
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Verlagsort | Philadelphia |
Sprache | englisch |
Maße | 152 x 229 mm |
Gewicht | 450 g |
Themenwelt | Technik ► Elektrotechnik / Energietechnik |
ISBN-10 | 0-443-14070-7 / 0443140707 |
ISBN-13 | 978-0-443-14070-9 / 9780443140709 |
Zustand | Neuware |
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