Converging Nanotechnology and Digital Intelligence in Energy Storage
- 1st Edition - January 1, 2027
- Latest edition
- Editors: Abderrahman Abbassi, Saad Motahhir
- Language: English
Converging Nanotechnology and Digital Intelligence in Energy Storage addresses the growing demand for advanced energy storage technologies that support renewable energy integr… Read more
Description
Description
Converging Nanotechnology and Digital Intelligence in Energy Storage addresses the growing demand for advanced energy storage technologies that support renewable energy integration, decarbonization, and sustainable development. The book examines the convergence of nanotechnology and digital innovation as a pathway to improving the efficiency, safety, scalability, and lifecycle performance of energy storage systems.
The volume explores nanomaterials including nanostructured electrodes, and advanced materials for batteries and hydrogen storage. It also examines digital technologies such as artificial intelligence, Internet of Things platforms, blockchain for monitoring, optimization, predictive maintenance, and decentralized energy management. Together, these topics provide a comprehensive perspective on the design and operation of next-generation energy storage solutions.
Converging Nanotechnology and Digital Intelligence in Energy Storage serves as a valuable reference for researchers, engineers, scientists, and industry professionals working across energy, materials science, and digital technologies. By combining theoretical foundations with practical applications and emerging trends, the book offers actionable insights for accelerating innovation in energy storage and advancing global energy transition objectives.
The volume explores nanomaterials including nanostructured electrodes, and advanced materials for batteries and hydrogen storage. It also examines digital technologies such as artificial intelligence, Internet of Things platforms, blockchain for monitoring, optimization, predictive maintenance, and decentralized energy management. Together, these topics provide a comprehensive perspective on the design and operation of next-generation energy storage solutions.
Converging Nanotechnology and Digital Intelligence in Energy Storage serves as a valuable reference for researchers, engineers, scientists, and industry professionals working across energy, materials science, and digital technologies. By combining theoretical foundations with practical applications and emerging trends, the book offers actionable insights for accelerating innovation in energy storage and advancing global energy transition objectives.
Key features
Key features
- Explains the integration of nanotechnology and digital intelligence for advanced energy storage systems
- Examines emerging nanomaterials for batteries, and hydrogen storage applications
- Provides practical guidance on artificial intelligence, IoT, blockchain, and digital implementation
- Evaluates sustainable materials and strategies for improving environmental performance
- Highlights future directions for next-generation energy storage innovation
Readership
Readership
Researchers and industry professionals in energy storage and nanotechnology
Table of contents
Table of contents
Part I: Nanomaterials for Energy Storage
1. Introduction to the NanoRevolution in Energy Storage
2. The Role of Nanomaterials in Advanced Battery Technologies
3. Nanostructures for Enhanced Energy Density and Efficiency
4. Hydrogen Storage: Nanomaterials for Clean and Sustainable Energy
5. Lithium-Ion Batteries: Nano-Enhanced Performance and Safety
6. Solid-State Batteries: The Promise of Nano-Engineering
7. Nanomaterials for Long-Life, Ultra-Fast Charging, and High-Capacity Batteries
8. Sustainable and Recyclable Nanomaterials for Energy Storage
Part II: Digital Technologies in Energy Storage
9. The Digital Transformation of Energy Storage Systems
10. AI and Machine Learning for Predictive Battery Health and Optimization
11. Smart Grids and Energy Storage: A Symbiotic Relationship
12. IoT-Driven Battery Monitoring: Enhancing Efficiency and Safety
13. Blockchain for Secure and Decentralized Energy Storage Management
14. Digital Twins: Virtual Modeling for Optimized Battery Performance
15. Next-Gen Battery Management Systems (BMS): Intelligent Control and Automation
1. Introduction to the NanoRevolution in Energy Storage
2. The Role of Nanomaterials in Advanced Battery Technologies
3. Nanostructures for Enhanced Energy Density and Efficiency
4. Hydrogen Storage: Nanomaterials for Clean and Sustainable Energy
5. Lithium-Ion Batteries: Nano-Enhanced Performance and Safety
6. Solid-State Batteries: The Promise of Nano-Engineering
7. Nanomaterials for Long-Life, Ultra-Fast Charging, and High-Capacity Batteries
8. Sustainable and Recyclable Nanomaterials for Energy Storage
Part II: Digital Technologies in Energy Storage
9. The Digital Transformation of Energy Storage Systems
10. AI and Machine Learning for Predictive Battery Health and Optimization
11. Smart Grids and Energy Storage: A Symbiotic Relationship
12. IoT-Driven Battery Monitoring: Enhancing Efficiency and Safety
13. Blockchain for Secure and Decentralized Energy Storage Management
14. Digital Twins: Virtual Modeling for Optimized Battery Performance
15. Next-Gen Battery Management Systems (BMS): Intelligent Control and Automation
Product details
Product details
- Edition: 1
- Latest edition
- Published: January 1, 2027
- Language: English
About the editors
About the editors
AA
Abderrahman Abbassi
Abderrahman Abbassi is a professor and researcher at Sultan Mouly Slimane University, affiliated with the Laboratory of Research in Physics and Engineering Sciences. He holds a PhD in Physics with a specialization in Engineering and Materials Science from the Faculty of Sciences, Mohammed V University, Rabat. His research interests include materials for clean energy, energy storage, and digital technologies. Abbassi is particularly known for his work on Double Perovskite oxides, Spintronics, and Opto-electronics. Dr. Abbassi has an impressive track record in reviewing academic literature and contributing to the advancement of his field. Dr. Abbassi has contributed to several books and has contributed to the publication of over fifty articles, demonstrating his expertise and dedication to scientific research:
Affiliations and expertise
Professor and Researcher, Multidisciplinary Research Laboratory in Physics (M.R.L.P.), Faculty of Applied Sciences, Sultan Mouly Slimane University, MoroccoSM
Saad Motahhir
Dr. Saad Motahhir (Eng., PhD, AGYA Member) is a Professor and Director of the Applied Sciences and Innovative Technologies Laboratory (LSATI) at ENSA, SMBA University, Fez, Morocco, with extensive expertise in embedded systems and renewable energy technologies. He previously worked as an Embedded Systems Engineer at Zodiac Aerospace Morocco (2014–2019), holds an engineering degree in Embedded Systems from ENSA Fez (2014), and a PhD in Electrical Engineering from SMBA University (2018). Dr. Motahhir has authored numerous publications, primarily focusing on photovoltaic solar energy optimisation and embedded systems, and has contributed to patented innovative projects. He is a book series editor for IET and Taylor & Francis, a guest editor for special journal issues, and serves on editorial boards and as a reviewer for various journals. Additionally, he is the Conference Co-chair of ICDTA, a member of the Arab Youth Center Council and AGYA, and has led work packages in European projects while acting as an expert and consultant for European and national initiatives.
Affiliations and expertise
Full Professor, Laboratoire des Sciences Appliquées et Technologies Innovantes, École Nationale des Sciences Appliquées de Fès, Sidi Mohamed Ben Abdellah University, Fez, Morocco