scholarly journals Poly(ionic liquid) binders as Li+ conducting mediators for enhanced electrochemical performance

RSC Advances ◽  
2015 ◽  
Vol 5 (104) ◽  
pp. 85517-85522 ◽  
Author(s):  
Jung-Soo Lee ◽  
Ken Sakaushi ◽  
Markus Antonietti ◽  
Jiayin Yuan
Keyword(s):  
Ionic Liquid ◽  
Energy Storage ◽  
Electrochemical Performance ◽  
Storage System ◽  
Lithium Ion ◽  
Energy Storage System ◽  
Electrochemical Energy Storage ◽  
System P ◽  
Poly Ionic Liquid ◽  
Enhanced Electrochemical Performance

A series of poly(ionic liquid)s (PILs) were used as binders for lithium-ion battery (LIB) with a LiFePO4 cathode to explore their role and benefits in a model electrochemical energy storage system.

Theoretical and experimental investigations of the electronic/ionic conductivity and deprotonation of Ni3−xCoxAl-LDHs in an electrochemical energy storage system

2018 ◽  
Vol 20 (25) ◽  
pp. 17313-17323 ◽  
Author(s):  
Shengqi Ding ◽  
Xiao Du ◽  
Yanyan Yang ◽  
Peifen Wang ◽  
Zhonglin Zhang ◽  
...  
Keyword(s):  
Energy Storage ◽  
Ionic Conductivity ◽  
Electrochemical Performance ◽  
Storage System ◽  
Energy Storage System ◽  
Electrochemical Energy Storage ◽  
Experimental Investigations ◽  
System P ◽  
Enhanced Electrochemical Performance ◽  
Electrochemical Energy

A schematic illustration of the mechanism of enhanced electrochemical performance by doping Co species.

scholarly journals A magnetic self-contained thermochromic system with convenient temperature range

2019 ◽  
Vol 21 (6) ◽  
pp. 1412-1416 ◽  
Author(s):  
Floriana Billeci ◽  
H. Q. Nimal Gunaratne ◽  
Francesca D'Anna ◽  
Grace G. Morgan ◽  
Kenneth R. Seddon ◽  
...  
Keyword(s):  
Ionic Liquid ◽  
Energy Storage ◽  
Potential Energy ◽  
Storage System ◽  
Energy Storage System ◽  
Liquid Solution ◽  
Temperature Range ◽  
Magnetic Switching ◽  
System P ◽  
Ionic Liquid Solution

A sugar-based ionic liquid ligand coordinated to cobalt(ii) exhibits magnetic switching and marked thermochromism in spectator ionic liquid solution/polymer films over a convenient temperature range (20–60 °C), resulting in a potential energy storage system.

scholarly journals Ionic Liquid Electrolytes for Electrochemical Energy Storage Devices

Materials ◽  
2021 ◽  
Vol 14 (14) ◽  
pp. 4000
Author(s):  
Eunhwan Kim ◽  
Juyeon Han ◽  
Seokgyu Ryu ◽  
Youngkyu Choi ◽  
Jeeyoung Yoo
Keyword(s):  
Ionic Liquid ◽  
Energy Storage ◽  
Lithium Ion ◽  
Electrochemical Energy Storage ◽  
Storage Device ◽  
Energy Storage Device ◽  
Energy Storage Devices ◽  
Storage Devices ◽  
Storage Ability ◽  
Electrochemical Energy

For decades, improvements in electrolytes and electrodes have driven the development of electrochemical energy storage devices. Generally, electrodes and electrolytes should not be developed separately due to the importance of the interaction at their interface. The energy storage ability and safety of energy storage devices are in fact determined by the arrangement of ions and electrons between the electrode and the electrolyte. In this paper, the physicochemical and electrochemical properties of lithium-ion batteries and supercapacitors using ionic liquids (ILs) as an electrolyte are reviewed. Additionally, the energy storage device ILs developed over the last decade are introduced.

scholarly journals Least Cost Microgrid Resource Planning for the Natural Energy Laboratory of Hawaii Authority Research Park

2021 ◽  
Author(s):  
Alexander Headley ◽  
Benjamin Schenkman ◽  
Keith Olson ◽  
Laurence Sombardier
Keyword(s):  
Energy Storage ◽  
Storage System ◽  
Lithium Ion ◽  
Resource Planning ◽  
Energy Storage System ◽  
Solar Array ◽  
Electrical Transmission ◽  
Natural Energy ◽  
Electrical Transmission Line ◽  
Hydrogen Systems

Abstract The Natural Energy Laboratory of Hawaii Authority’s (NELHA) campus on The Island of Hawai’i supplies resources for a number of renewable energy and aquaculture research projects. There is a growing interest at NELHA to convert the research campus to a 100% renewable, islanded microgrid to improve the resiliency of the campus for critical ocean water pumping loads and to limit the increase in the long-term cost of operations. Currently, the campus has solar array to cover some electricity needs but scaling up this system to fully meet the needs of the entire research campus will require significant changes and careful planning to minimize costs. This study will investigate least-cost solar and energy storage system sizes capable of meeting the needs of the campus. The campus is split into two major load centers that are electrically isolated and have different amounts of available land for solar installations. The value of adding an electrical transmission line if NELHA converts to a self-contained microgrid is explored by estimating the cost of resources for each load center individually and combined. Energy storage using lithium-ion and hydrogen-based technologies is investigated. For the hydrogen-based storage system, a variable efficiency and fixed efficiency representation of the electrolysis and fuel cell systems are used. Results using these two models show the importance of considering the changing performance of hydrogen systems for sizing algorithms.

scholarly journals Accuracy improvement of SOC estimation in lithium-ion batteries by ANFIS vs ANN modeling of nonlinear cell characteristics

2021 ◽  
Author(s):  
Mohammad Hassan Amir Jamlouie
Keyword(s):  
Energy Storage ◽  
Lithium Ion Batteries ◽  
Intelligent System ◽  
Storage System ◽  
Lithium Ion ◽  
Energy Storage System ◽  
Training Data ◽  
Accurate Estimation ◽  
Consumption Pattern ◽  
Load Prediction

Over the last century, the energy storage industry has continued to evolve and adapt to changing energy requirements. To run an efficient energy storage system two points must be considered. Firstly, precise load forecasting to determine energy consumption pattern. Secondly, is the correct estimation of state of charge (SOC). In this project there is a model introduced to predict the load consumption based on ANN implemented by MATLAB. The Designed intelligent system introduced for load prediction according to the hypothetical training data related to two years daily based load consumption of a residential area. For another obstacle which is accurate estimation of SOC, two separate models are provided based on ANN and ANFIS for Lithium-ion batteries as an energy storage system. There are several researches in this regard but in this project the author makes an effort to introduce the most efficient based on the MSE of each performance and as a result the method by ANN is found more accurate.

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