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Elsevier

Modern Energy Storage

The Key to Energy System Transformation

  • 1st Edition - May 29, 2026
  • Latest edition
  • Editors: Huaiguang Jiang, David Wenzhong Gao, Fei-Yue Wang
  • Language: English

Modern Energy Storage: The Key to Energy System Transformation is a unique reference designed to give students and researchers the most advanced information on technolog… Read more

Description

Modern Energy Storage: The Key to Energy System Transformation is a unique reference designed to give students and researchers the most advanced information on technologies in energy storage systems.

Energy storage is a complex system, often containing several energy storage techniques to complement each other. This reference covers those techniques by looking at li-ion battery-based energy storage systems and all indispensable technologies in different scenarios or real applications including Compressed Air Storage, Power to gas systems, Pumped Thermal, Liquid Air Storage, Thermochemical storage, and more.

Compiled by global experts and considering latest advances related to full recyclable process, second use, pollution reduction, and low-carbon industry & economy, which will boost the real applications of the energy storage systems. By addressing the current challenges of energy storage technologies and potential solutions, this comprehensive text uses algorithms, methods, and programs as a technical-encyclopedia for energy-storage-related areas such as Electric vehicles, Intelligent Transportation, Environment, and smart cities.

Designed to inform, advise, and create discussion about the energy transition, climate, low carbon power and economy, the contributors provide abundant and valuable materials and references for the students, researchers, engineers, professors in in energy, engineering and environmental areas.

Key features

  • Designed to be a suitable text for Energy, Energy Storage, and Power System-related courses for post-graduate students
  • Includes algorithms, methods, and programs designed to be used as technical-encyclopedia for energy-storage-related areas
  • Features real applications, including energy storage in electrical power grids and transportation systems and in Environmental Impaction with Battery Recycling and Ladder Utilization

Readership

Graduate and upper-division undergraduate students including renewable energy engineers, mechanical, electrical, and chemical engineers as well as climate scientists and environmental engineers, Energy, chemistry, engineering general, environmental science and practicing engineers, researchers, academics, energy consulting companies, Professional researchers and engineers E.g. Junior and Senior Engineers in General Electrical (GE), Tesla, Toyota, focusing on energy storage, battery.

Table of contents

1 History and development of Energy Storage


2 Energy Storage basic

1. different types of energy storage

2. mathematical models

3. security analysis and standards


3 Fundamentals of Lithium-ion battery

1. Electrochemistry
• Electrolytes
• Charge and discharge

2. Materials
• Positive electrode
• Negative electrode
• Diffusion

3. Performance

4. Industrial Manufactures


4 Advanced Researches of Lithium-ion Battery

1. Battery Life
• Degradation
• Conditioning
• Multicell devices
• Advanced battery life estimations

2. Safety
• Fire hazard
• Damaging and overloading
• Voltage limits
• Transport restrictions

3. Environmental impaction and recycling
• Ladder Utilization
• Recycling lithium-ion batteries from EV
• Recycling methods of others


5 Real Applications of Lithium-ion Battery

1. Electrical Power Grid Applications

2. Transportation System Applications
• Electric Vehicles
• Boats and Trains

3. Other Applications
• 5G and 6G Systems
• Data Centres


6 Mechanical and Electrical Energy Storage

1. Mechanical Energy Storage
• Pumped-storage hydroelectricity
• Flywheel energy storage
• Compressed air energy storage

2. Electrical Energy Storage State forecasting
• Capacitor and Super Capacitor
• Superconducting magnetic energy storage

3. Thermal energy storage


7 Chemical and Biological Energy Storage

1. Biofuels

2. Hydrogen storage

3. Power to gas


8 Advanced Technologies in Energy Storage

1. Machine Learning
• General Machine Learning
• Multi-agent System

2. Complex Energy Storage Systems

3. Military Energy Storage Systems

4. Aerospace Energy Storage Systems


9 Low Carbon Development and Impactions with Energy Storage

1. Low Carbon Development
• Carbon Neutrality
• Carbon Trade

2. Low Carbon Impactions
• Low Carbon economy
• Low Carbon Climate
• Low Carbon Law and Policies

Product details

  • Edition: 1
  • Latest edition
  • Published: May 29, 2026
  • Language: English

About the editors

HJ

Huaiguang Jiang

Dr. Huaiguang Jiang is a Professor with School of Future Technology in South China University of Technology, focusing on energy technology, smart city, and artificial intelligence for science （AI4S）, which aims modeling of complex relational structures of large interconnected systems, multi-scale systems such as graphs and networks, ranging from protein interactions within cells to human social interactions in society, to help achieve the strategy of "carbon peak and carbon neutrality".

As an IEEE senior member, he published more than 60 papers in top academic conferences or journals such as IEEE Transactions/CVPR/Applied Energy. He used to work at NREL (National Renewable Energy Laboratory, CO, US) as an research engineer.

Affiliations and expertise
South China University of Technology, China

DG

David Wenzhong Gao

Dr Gao has over 10 years of research experience in the field of Microgrid and Energy Storage Systems. Gao has published more than one hundred fifty refereed technical papers in international journals and conferences. His research has been funded by agencies and sponsors including the US National Science Foundation, US Department of Energy, National Renewable Energy Laboratory and Argonne National Laboratory. His research areas include power and energy systems including renewable energies, micro grids, distributed generation, smart grid, power delivery, power electronics application, power system protection, power system restructuring, and hybrid electric vehicles. In 2009, he won the US National Science Foundation CAREER award for wind power research.
Affiliations and expertise
Associate Professor, University of Denver; Director, DU Renewable Energy and Power Electronics Laboratory, Colorado, USA

FW

Fei-Yue Wang

Fei-Yue Wang received his Ph.D. degree in computer and systems engineering from the Rensselaer Polytechnic Institute, Troy, NY, USA, in 1990. He joined The University of Arizona in 1990 and became a Professor and the Director of the Robotics and Automation Laboratory and the Program in Advanced Research for Complex Systems. In 1999, he founded the Intelligent Control and Systems Engineering Center at the Institute of Automation, Chinese Academy of Sciences (CAS), Beijing, China, and in 2002, was appointed as the Director of the Key Laboratory of Complex Systems and Intelligence Science, CAS. In 2011, he became the State Specially Appointed Expert and the Director of the State Key Laboratory for Management and Control of Complex Systems. He is a FELLOW of IEEE, INCOSE, IFAC, ASME, and AAAS. Since 1997, he has been serving as the General or Program Chair of over 30 IEEE, INFORMS, IFAC, ACM, and ASME conferences. He was the President of the IEEE ITS Society from 2005 to 2007, the Vice President of the ACM China Council from 2010 to 2011, and the Vice President and the Secretary-General of the Chinese Association of Automation from 2008-2018. He was the Founding Editor-in-Chief (EiC) of the International Journal of Intelligent Control and Systems from 1995 to 2000, the IEEE ITS Magazine from 2006 to 2007, the IEEE/CAA JOURNAL OF AUTOMATICA SINICA from 2014-2017. He was the EiC of the IEEE Intelligent Systems from 2009-2012, the IEEE TRANSACTIONS ON Intelligent Transportation Systems from 2009-2016, and is the EiC of the IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS from 2017-2020. Currently, he is the President of CAA's Supervision Council, IEEE Council on RFID, and Vice President of IEEE Systems, Man, and Cybernetics Society.
Affiliations and expertise
Professor, Institute of Automation, Chinese Academy of Sciences, Qingdao Academy of Intelligent Industries, Beijing, China