IoT Enabled Multi-Energy Systems
From Isolated Energy Grids to Modern Interconnected Networks
- 1st Edition - March 8, 2023
- Imprint: Academic Press
- Editors: Mohammadreza Daneshvar, Behnam Mohammadi-Ivatloo, Kazem Zare, Amjad Anvari-Moghaddam
- Language: English
- Paperback ISBN:9 7 8 - 0 - 3 2 3 - 9 5 4 2 1 - 1
- eBook ISBN:9 7 8 - 0 - 3 2 3 - 9 5 7 8 0 - 9
IoT-Enabled Multi-Energy Systems: From Isolated Energy Grids to Modern Interconnected Networks proposes practical solutions for the management and control of energy interacti… Read more
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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
Early career researchers at 1st year PhD level and above developing IoT-based solutions, senior division undergraduate and graduate students studying multi-vector energy grids as parts of energy and environmental sciences courses, 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
Preface
- Overview of Internet of Things-based multi-energy management of cleaner multi-energy mix
- Overview of multi-energy interconnected systems in different energy grids
- Overview of Internet of Things-based fault positioning cyber-physical systems in smart cleaner multi-energy systems
- Architecture and applications of Internet of Things in smart grids
- Artificial intelligence enabled Internet of Things technologies in modern energy grids
- Data science leverage and big data analysis for Internet of Things energy systems
- Battery cloud with advanced algorithms
- Applicability of federated learning for securing critical energy Infrastructures
- A lightweight string-matching technique for secure communication within IoT energy systems technology
- Edition: 1
- Published: March 8, 2023
- Imprint: Academic Press
- Language: English
MD
Mohammadreza Daneshvar
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.
Affiliations and expertise
Research Assistant, Smart Energy Systems Lab in Electrical Power Systems Engineering at the University of Tabriz, IranBM
Behnam Mohammadi-Ivatloo
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.
Affiliations and expertise
Department of Electrical and Computer Engineering, University of Tabriz, Tabriz, IranKZ
Kazem Zare
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.
Affiliations and expertise
Associate Professor, Faculty of Electrical and Computer Engineering, University of Tabriz, Tabriz, IranAA
Amjad Anvari-Moghaddam
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).
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