Advanced Energy Storage Technologies and Applications (AESAs)

Dear Colleagues,

The development of renewable energy (such as wind energy and solar energy) is an effective way to alleviate global environmental pollution and reduce dependence on fossil energy. However, the intermittency of renewable energy has hindered the deployment of large-scale intermittent renewable energy, which, therefore, has necessitated the development of advanced large-scale energy storage technologies. The use of advanced large-scale energy storage can effectively improve the efficiency of energy resource utilization, and increase the use of variable renewable resources and the end-use sector electrification (e.g., the electrification of the transport sector).

This Special Issue primarily aims to provide a platform for presenting the latest research findings on the technology development of large-scale energy storage. We welcome research papers on theoretical, methodological, and empirical studies, as well as review papers that provide a critical overview on the state-of-the-art of technologies. This Special Issue is open to all types of energy (such as thermal energy, mechanical energy, electrical energy, and chemical energy) using different types of systems (such as phase change materials, batteries, supercapacitors, fuel cells, compressed air, etc.) that are applicable to various types of applications (such as heat and power generation, electrical/hybrid transportation, etc.).

Topics of interest of this Special Issue include, but are not limited to, the following:

• Novel energy storage materials and topologies;
• Applications in electrical/hybrid-driven systems and electrical/hybrid vehicles;
• Next-generation energy storage devices, systems, or techniques;
• Large-scale energy storage system modeling, simulation, and optimization (including testing and modelling ageing processes);
• Advanced control systems for energy storage
• Business model for the application and deployment of energy storage;
• Lifecycle analysis, safety, and reliability evaluation of energy storage systems. 

Dr. Quanqing Yu
Dr. Chun Wang
Dr. Aihua Tang
Dr. Jinpeng Tian
Guest Editors

Manuscript Submission Information

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