Special issue to “ICMAT 2013, Symposium A: Advanced Materials for Energy Storage Systems -From Fundamentals to Applications, June 30-July 5,2013, Singapore”

2014 ◽  
Vol 268 ◽  
pp. 209
Author(s):  
Stefan Adams ◽  
Rachid Yazami
Keyword(s):  
Energy Storage ◽  
Storage Systems ◽  
Advanced Materials ◽  
Special Issue ◽  
Energy Storage Systems

scholarly journals Innovative Advanced Materials for Energy Storage and Beyond: Synthesis, Characterisation and Applications

Nanomaterials ◽  
2020 ◽  
Vol 10 (9) ◽  
pp. 1817
Author(s):  
Vijay Kumar Thakur
Keyword(s):  
Energy Storage ◽  
Storage Systems ◽  
Advanced Materials ◽  
Energy Storage Systems

Recently, advanced materials have attracted considerable interest owing to their possible applications in different fields such as in catalysts, supercapacitors, capacitors, batteries and other energy storage systems [...]

scholarly journals Guest editorial for the Special Issue on Degradation Prediction and Recycling of Renewable Energy and Energy Storage Systems: Scenarios of 2020-2025

2021 ◽  
pp. 1-2
Author(s):  
Liang Gao ◽  
Akhil Garg
Keyword(s):  
Artificial Intelligence ◽  
Renewable Energy ◽  
Energy Storage ◽  
Guest Editorial ◽  
Online Monitoring ◽  
Storage Systems ◽  
Special Issue ◽  
Energy Storage Systems ◽  
Online Prediction ◽  
Charging Stations

Abstract Given the degrading environment, countries across the globe have strongly emphasized the development and deployment of renewable energy and energy storage systems across various sectors such as residential, commercial, industry, rural households, charging stations, etc. Given with this pace of deployment, there will be unforeseen problems in next decade on how to diagnose, perform online monitoring and regular maintenance and recycle these millions of these renewable energy and energy storage systems whose life span is over (spent systems). Main challenges that exist includes the heterogeneity of the systems (different standards, size and shape) adding complexity to recycling procedures, laboratory based models having assumptions for online prediction and monitoring, non-uniform reusability and recycling procedures. Due to this, the process adopted for recycling and reusability of the spent systems is mainly manual. There is a strong need for designing and developing the automation, Artificial intelligence (AI) and robust optimization procedures for making these recycling and reusability procedures smart and efficient

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