Modern Energy Storage
The Key to Energy System Transformation
$366.27
- Paperback
350 pages
- Release Date
30 June 2026
Summary
Modern energy storage is a critical component in the transition to a sustainable energy future. This book explores the various technologies and applications of energy storage, from batteries and pumped hydro to thermal storage and hydrogen. It delves into the challenges and opportunities associated with integrating these technologies into existing energy grids, and discusses the economic, environmental, and policy implications of widespread energy storage adoption.
Key topics covered …
Book Details
| ISBN-13: | 9780323954198 |
|---|---|
| ISBN-10: | 0323954197 |
| Author: | Huaiguang Jiang, Fei-Yue Wang, Xiangmin Xu, Jun Zhang, Wenzhong Gao |
| Publisher: | Elsevier Science & Technology |
| Imprint: | Academic Press Inc |
| Format: | Paperback |
| Number of Pages: | 350 |
| Release Date: | 30 June 2026 |
| Weight: | 450g |
| Dimensions: | 152mm x 229mm |
Huaiguang Jiang
Authors
Huaiguang Jiang
Professor, School of Future Technology, South China University of Technology. Research interests include energy technology, smart cities, and Artificial Intelligence for Science (AI4S), focusing on modeling complex relational structures in large interconnected and multi-scale systems, such as graphs and networks, from cellular protein interactions to societal human interactions. Aims to contribute to the “carbon peak and carbon neutrality” strategy. IEEE Senior Member. Published over 100 papers in top academic conferences and journals.
Xiangmin Xu
Professor, Foshan University, China. Former Vice President and Dean of the School of Future Technology at South China University of Technology. Member of the Teaching Steering Committee for Electronic Information under the Ministry of Education, Director of the Engineering Research Center for Human Data Perception (Ministry of Education), and Director of the Guangdong Provincial Key Laboratory of Digital Human Twins. Research interests include artificial intelligence and its applications in human health and energy. Led/undertook over 20 projects. Published over 70 papers in top journals and conferences, with a highly cited paper receiving nearly 4,000 citations. Holds over 50 authorized invention patents. Received the First Prize of the Guangdong Provincial Natural Science Awards in 2023.
Jun Zhang
Professor, School of Electrical Engineering and Automation, Wuhan University, China. Recipient of the Yang Jiachi Science and Technology Award. Former tenured Associate Professor at the University of Denver, USA. Chair of the IEEE Wuhan Section, Vice Chairman of the Technical Committee on Hybrid Intelligence (CAA), Director of the Wuhan Automation Engineering Technology Research Center. Associate Editor of the Journal of Intelligent Science and Technology. Member of the Editorial Board for Acta Automatica Sinica (Chinese and English editions) and IEEE Transactions on Computational Social Systems. Presided over and participated in dozens of national, ministerial, and provincial-level research projects. Received numerous international, ministerial, provincial, and industrial awards.
Wenzhong Gao
Full Professor of Electrical Engineering, University of Denver, Colorado, USA. Received M.S. and Ph.D. in Electrical and Computer Engineering with a specialization in Electric Power Engineering from Georgia Institute of Technology. Current teaching and research interests include renewable energy and distributed generation, artificial intelligence applications, microgrids, smart grids, power system protection, power electronics applications in power systems, power system modeling and simulation, and hybrid electric propulsion systems. Associate Editor for IEEE Transactions on Intelligent Systems and Vice Editor in Chief for Journal of Modern Power Systems and Clean Energy. Former editor of IEEE Transactions on Sustainable Energy.
Fei-Yue Wang
State Specially Appointed Expert and Founding Director of the State Key Laboratory for Management and Control of Complex Systems, Institute of Automation, Chinese Academy of Sciences, China. Research Professor at the DeSci Center of Parallel Intelligence, Obuda University, Budapest, Hungary. Research focuses on intelligent control, social computing, and knowledge automation, with an emphasis on energy and complex systems. Pioneered the concepts of Social Energy and the Parallel Energy initiative. Explores methods and applications for parallel intelligence, social computing, and knowledge automation. Fellow of INCOSE, IFAC, ASME, and AAAS. Received the National Prize in Natural Sciences of China (2007), numerous best paper awards, and recognized as an Outstanding Scientist by ACM. Received IEEE CRFID Emily Sopensky Meritorious Service Award, IEEE SMC Lotfi A. Zadeh Pioneer Award, IEEE Transportation Technologies Award (2024, 2025), and IEEE ITSS Lifetime Achievement Award (2025). Selected as the IFAC Pavel J. Nowacki Distinguished Lecturer (2021).
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