IoT Enabled Multi-Energy Systems: From Isolated Energy Grids to Modern Interconnected Networks - Softcover

Softcover

ISBN 10: 0323954219 ISBN 13: 9780323954211

Publisher: Academic Press, 2023

Synopsis

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.

• Reviews core applications of IoT technologies in grid modernization of multi-energy networks
• Develops practical solutions for optimal integration of renewable energy resources in modern multi-vector energy networks
• Analyzes the reliable integration, sustainable operation and accurate planning of multi-carrier energy grids in highly penetrated stochastic energy resources

About this title

About the Authors

Mohammadreza Daneshvar, PhD, is an Assistant Professor, founder and head of the Laboratory of Multi-Carrier Energy Networks Modernization at the Faculty of Electrical and Computer Engineering, University of Tabriz, Tabriz, Iran. Prior to that, he was a postdoctoral research fellow in the field of modern multi-energy networks at the Smart Energy Systems Lab of the University of Tabriz for two years. He obtained his MSc and PhD degrees in Electrical Power Engineering from the University of Tabriz, all with honors. He has (co)authored more than 50 technical journal and conference articles, 10 books, 28 book chapters, and 10 national and international research projects in the field. Dr. Daneshvar is a member of the Editorial Board of the Energy and Built Environment Journal and the Early Career Editorial Board of the Sustainable Cities and Society Journal. He also served as the guest editor for the Sustainable Cities and Society, and Sustainable Energy Technologies and Assessments journals. Moreover, he serves as an active reviewer with more than 120 top journals, 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, Integrated Multi-Energy Systems, Grid Modernization, Electrical Energy Storage Systems, Sustainable Cities and Society, Microgrids, Energy Hubs, Machine Learning and Deep Learning, Digital Twin, and Optimization Techniques and AI.

Dr. Behnam Mohammadi-Ivatloo, PhD, is a Professor of sector coupling in energy systems at LUT University, Lappeenranta, Finland. He has a mix of high-level experience in research, teaching, administration and voluntary jobs at the national and international levels. He was PI or CO-PI in more than 20 externally funded research projects including grants from EU Horiozn and Business Finland. He is a Senior Member of IEEE since 2017 and a Member of the Governing Board of Iran Energy Association since 2013, where he was elected as President in 2019. He is Editor of IEEE Transactions on Power Systems and IEEE Transactions of Transportation Electrifications. His main areas of interest are integrated energy systems, sector coupling, renewable energies, energy storage systems, microgrids, and smart grids.

Dr. 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 a 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.

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).

From the Back Cover

Reviews the transition from isolated energy grids to modern interconnected networks by providing formal theory and IoT-based practical solutions for multi-energy systems.

IoT-Enabled Multi-Energy Systems proposes practical solutions for the management and control of energy interactions throughout the interconnected energy infrastructures of the future multi-energy grid. It discusses a panorama of modelling, planning and optimization considerations for IoT technologies and 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, and supporting IoT-based developed expert systems, working to identify how AI can empower IoT technologies to sustainably develop fully renewable modern multi-carrier energy networks. It also provides proven methodologies, establishes worked solutions, and develops a holistic framework for proposing IoT-based solutions for intelligently modernizing future multi-vector energy grids. Motivations and obstacles of the deployment of advanced IoT technologies are discussed in detail.

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; cyber-physical multi-energy systems; blockchain technology; reliable and sustainable development of the modern energy networks; design, integration, and operation of a high/full level of renewable energy resources; optimal energy management systems; optimization of hybrid energy systems’ utilization; grid-edge technologies’ and hybrid energy components.

• Reviews core applications of IoT technologies in grid modernization of multi-energy networks.
• Develops practical solutions for optimal integration of renewable energy resources in modern multi-vector energy networks.
• Analyzes the reliable integration, sustainable operation, and accurate planning of multi-carrier energy grids in highly penetrated stochastic energy resources.

Mohammadreza Daneshvar is a Researcher with the Department of Electrical and Computer Engineering at the University of Tabriz. He is the author of more than 40 journal and conference papers in the field of energy and electrical engineering. He also is the author and editor of six books with Springer, Elsevier, and Wiley-IEEE Press. He serves as an active reviewer and was ranked among the top 1% of reviewers in Engineering and Cross-Field.

Behnam Mohammadi-Ivatloo, Ph.D., is currently a full professor of electrical and computer engineering at the University of Tabriz. He is formerly a research associate at the University of Calgary. He obtained MSc and Ph.D. degrees in electrical engineering from the Sharif University of Technology. He is the author and editor of more than nineteen books in the field of energy and electrical engineering.

Kazem Zare, PhD, received the B.Sc. and M.Sc. degrees in electrical engineering from the University of Tabriz, and Ph.D. degree from the Tarbiat Modares University, Tehran, Iran. Currently, he is a Professor in the Faculty of Electrical and Computer Engineering, University of Tabriz. He is the author and editor of six books in the publication process with Springer, Elsevier, and Wiley-IEEE Press.

Amjad Anvari-Moghaddam, Ph.D., is currently an Associate Professor and the Leader of Intelligent Energy Systems and Flexible Markets (iGRIDS) research group at AAU-Energy, Aalborg University, where he is also the coordinator for the Integrated Energy Systems Laboratory. He has published more than 270 technical articles, 8 books, and 16 book chapters in the field of planning, control and operation management of energy systems.

Edition details

• Publisher: Academic Press
• Publication date: 2023
• Language: English
• ISBN 10: 0323954219
• ISBN 13: 9780323954211
• Binding: Paperback
• Edition number: 1
• Number of pages: 190
• Editor: Daneshvar, Mohammadi-Ivatloo, Zare, Anvari-Moghaddam