IoT Enabled Multi-Energy Systems

From Isolated Energy Grids to Modern Interconnected Networks
Erscheinungsjahr 2023
ISBN: 978-0-323-95421-1
Verlag: Elsevier Science & Technology

Buch, Englisch, 280 Seiten, Format (B × H): 228 mm x 152 mm, Gewicht: 326 g

IoT-Enabled Multi-Energy Systems: From Isolated Energy Grids to Modern Interconnected Networks proposes practical solutions for the management and control of energy interactions throughout the interconnected energy infrastructures of the future multi-energy grid. The book discusses a panorama of modeling, planning and optimization considerations for IoT technologies, their applications across grid modernization, and the coordinated operation of multi-vector energy grids. The work is suitable for energy, power, mechanical, chemical, process and environmental engineers, and highly relevant for researchers and postgraduate students who work on energy systems.

Sections address core theoretical underpinnings, significant challenges and opportunities, how to support IoT-based developed expert systems, and how AI can empower IoT technologies to sustainably develop fully renewable modern multi-carrier energy networks. Contributors address artificial intelligence technology and its applications in developing IoT-based technologies, cloud-based intelligent energy management schemes, data science and multi-energy big data analysis, machine learning and deep learning techniques in multi-energy systems, and much more.

Zielgruppe

<p>Early career researchers at 1<SUP>st</SUP> year PhD level and above developing IoT-based solutions to facilitate the safe integration of multi-vector energy grids in accordance with the architecture of the modern energy grid. Also relevant to some senior division undergraduate and graduate students studying multi-vector energy grids as parts of energy and environmental sciences courses. </p> <p>Multi-vector energy, environmental and systems engineers, computer and data science engineers, energy economists, mechanical engineers, chemical and process engineers, artificial intelligence developers, policy makers, and energy service providers that concentrate on developing, modelling, simulating, designing, evaluating, and optimizing multi-energy systems for future modern multi-vector energy networks.</p>

Autoren/Hrsg.

Daneshvar, Mohammadreza

Mohammadi-Ivatloo, Behnam

Zare, Kazem

Anvari-Moghaddam, Amjad

Fachgebiete

• Technische Wissenschaften Energietechnik | Elektrotechnik Energieverteilung, Stromnetze
• Mathematik | Informatik EDV | Informatik Informatik Mensch-Maschine-Interaktion Ambient Intelligence, RFID, Internet der Dinge

Inhaltsverzeichnis

Preface

1. Overview of Modern Interconnected Energy Networks (MIENs)

2. IoT Development Path for Future MIENs

3. IoT Developments for Renewable Penetrated MIENs

4. IoT-Based Multi-Energy Management of Clean MIENs

5. Multi-Energy Economic Dispatch in a Cloud-Edge Computing Environment

6. IoT-Enabled Energy Trading Technologies for cleaner multi-energy mix (CMEM)

7. Artificial Intelligence-Enabled IoT Technologies in Revolution of Future Modern Energy Grids

8. Data Science Leverage for IoT Energy Systems

Über Autor(innen)

Anvari-Moghaddam, Amjad
Amjad Anvari-Moghaddam PhD, SMIEEE, received the Ph.D. degree (Hons.) in Power Systems Engineering from the University of Tehran, in 2015. He is currently an Associate Professor and the vice leader of PESYS and iGRIDS research groups at the Department of Energy (AAU Energy), Aalborg University, where he is also the coordinator for the Integrated Energy Systems Laboratory (IES-Lab). He has published more than 200 technical articles, 4 books, and 8 book chapters. His research interests include planning, control, and operation management of microgrids, renewable/hybrid power systems, and integrated energy systems with appropriate market mechanisms. He was a recipient of the 2020 DUO-India Fellowship Award, the DANIDA Research Fellowship grant from the Ministry of Foreign Affairs of Denmark, in 2018, the IEEE-CS Outstanding Leadership Award 2018 (Halifax, Nova Scotia, Canada), and the 2017 IEEE-CS Outstanding Service Award (Exeter-UK).

Daneshvar, Mohammadreza
Mohammadreza Daneshvar is a Research Associate with the Smart Energy Systems Lab in the Department of Electrical and Computer Engineering at the University of Tabriz. He is the editor of more than 40 journal and conference papers in the field of multi-energy systems, grid modernization, transactive energy, and optimizing the multi-carrier energy grids. He is the author and editor of three books with Springer, Elsevier, and Wiley-IEEE. He serves as an active reviewer with IEEE, Elsevier, Springer, Wiley, Taylor & Francis, and IOS Press, and was ranked among the top 1% of reviewers in Engineering and Cross-Field based on Publons global reviewer database. His research interests include smart grids, transactive energy, energy management, renewable energy sources, multi-carrier energy systems, grid modernization, electrical energy storage systems, microgrids, energy hubs, machine learning and deep learning, blockchain technology, and optimization techniques.

Mohammadi-Ivatloo, Behnam
Behnam Mohammadi-Ivatloo, Ph.D., is a Professor with the Faculty of Electrical and Computer Engineering, University of Tabriz, Tabriz, Iran. He was previously a Senior Research Fellow at Aalborg University, Denmark. Before joining the University of Tabriz, he was a research associate at the Institute for Sustainable Energy, Environment and Economy at the University of Calgary. He obtained MSc and Ph.D. degrees in electrical engineering from the Sharif University of Technology. His main research interests are renewable energies, microgrid systems, and smart grids. He has authored and co-authored more than 200 technical publications in his domain of interest, more than 30 book chapters, and 10 books.

Zare, Kazem
Kazem Zare PhD, SMIEEE received the B.Sc. and M.Sc. degrees in electrical engineering from University of Tabriz, Tabriz, Iran, in 2000 and 2003, respectively, and Ph.D. degree from Tarbiat Modares University, Tehran, Iran, in 2009. Currently, he is an Associate Professor of the Faculty of Electrical and Computer Engineering, University of Tabriz. His research areas include distribution networks operation and planning, power system economics, microgrid and energy management.