scholarly journals Multi-objective Bayesian optimization of ferroelectric materials with interfacial control for memory and energy storage applications

2021 ◽  
Vol 130 (20) ◽  
pp. 204102
Author(s):  
Arpan Biswas ◽  
Anna N. Morozovska ◽  
Maxim Ziatdinov ◽  
Eugene A. Eliseev ◽  
Sergei V. Kalinin
Keyword(s):  
Energy Storage ◽  
Ferroelectric Materials ◽  
Bayesian Optimization ◽  
Multi Objective ◽  
Energy Storage Applications

High‐Performance Relaxor Ferroelectric Materials for Energy Storage Applications

2019 ◽  
Vol 9 (17) ◽  
pp. 1803048 ◽  
Author(s):  
Peiyao Zhao ◽  
Hongxian Wang ◽  
Longwen Wu ◽  
Lingling Chen ◽  
Ziming Cai ◽  
...  
Keyword(s):  
Energy Storage ◽  
High Performance ◽  
Ferroelectric Materials ◽  
Relaxor Ferroelectric ◽  
Energy Storage Applications

scholarly journals Tailoring of the pore structures of wood pyrolysis chars for potential use in energy storage applications

2021 ◽  
Vol 286 ◽  
pp. 116431
Author(s):  
Przemyslaw Maziarka ◽  
Peter Sommersacher ◽  
Xia Wang ◽  
Norbert Kienzl ◽  
Stefan Retschitzegger ◽  
...  
Keyword(s):  
Energy Storage ◽  
Wood Pyrolysis ◽  
Pore Structures ◽  
Energy Storage Applications ◽  
Potential Use

scholarly journals Eco-Emission Analysis of Multi-Carrier Microgrid Integrated with Compressed Air and Power-to-Gas Energy Storage Technologies

2021 ◽  
Vol 13 (9) ◽  
pp. 4681
Author(s):  
Khashayar Hamedi ◽  
Shahrbanoo Sadeghi ◽  
Saeed Esfandi ◽  
Mahdi Azimian ◽  
Hessam Golmohamadi
Keyword(s):  
Energy Storage ◽  
Power Systems ◽  
High Efficiency ◽  
Objective Assessment ◽  
Energy Systems ◽  
Vital Role ◽  
Compressed Air ◽  
Emission Analysis ◽  
Multi Objective ◽  
Power To Gas

Growing concerns about global greenhouse gas emissions have led power systems to utilize clean and highly efficient resources. In the meantime, renewable energy plays a vital role in energy prospects worldwide. However, the random nature of these resources has increased the demand for energy storage systems. On the other hand, due to the higher efficiency of multi-energy systems compared to single-energy systems, the development of such systems, which are based on different types of energy carriers, will be more attractive for the utilities. Thus, this paper represents a multi-objective assessment for the operation of a multi-carrier microgrid (MCMG) in the presence of high-efficiency technologies comprising compressed air energy storage (CAES) and power-to-gas (P2G) systems. The objective of the model is to minimize the operation cost and environmental pollution. CAES has a simple-cycle mode operation besides the charging and discharging modes to provide more flexibility in the system. Furthermore, the demand response program is employed in the model to mitigate the peaks. The proposed system participates in both electricity and gas markets to supply the energy requirements. The weighted sum approach and fuzzy-based decision-making are employed to compromise the optimum solutions for conflicting objective functions. The multi-objective model is examined on a sample system, and the results for different cases are discussed. The results show that coupling CAES and P2G systems mitigate the wind power curtailment and minimize the cost and pollution up to 14.2% and 9.6%, respectively.

High energy density aqueous zinc–benzoquinone batteries enabled by carbon cloth with multiple anchoring effects

2021 ◽  
Author(s):  
Zhiqiang Luo ◽  
Silin Zheng ◽  
Shuo Zhao ◽  
Xin Jiao ◽  
Zongshuai Gong ◽  
...  
Keyword(s):  
Energy Storage ◽  
Energy Density ◽  
Porous Carbon ◽  
Large Scale ◽  
High Energy ◽  
High Energy Density ◽  
Carbon Cloth ◽  
Anchoring Effects ◽  
High Theoretical Capacity ◽  
Energy Storage Applications

Benzoquinone with high theoretical capacity is anchored on N-plasma engraved porous carbon as a desirable cathode for rechargeable aqueous Zn-ion batteries. Such batteries display tremendous potential in large-scale energy storage applications.

scholarly journals A SnO2QDs/GO/PPY ternary composite film as positive and graphene oxide/charcoal as negative electrodes assembled solid state asymmetric supercapacitor for high energy storage applications

RSC Advances ◽  
2021 ◽  
Vol 11 (45) ◽  
pp. 27801-27811
Author(s):  
M. Vandana ◽  
Y. S. Nagaraju ◽  
H. Ganesh ◽  
S. Veeresh ◽  
H. Vijeth ◽  
...  
Keyword(s):  
Graphene Oxide ◽  
Energy Storage ◽  
Solid State ◽  
Composite Film ◽  
High Energy ◽  
Asymmetric Supercapacitor ◽  
Ternary Composite ◽  
Negative Electrodes ◽  
Energy Storage Applications ◽  
High Energy Storage

Representation of the synthesis steps of SnO2QDs/GO/PPY ternary composites and SnO2QDs/GO/PPY//GO/charcoal asymmetric supercapacitor device.

scholarly journals Multi-Objective Optimization of a Battery-Supercapacitor Hybrid Energy Storage System Based on the Concept of Cyber-Physical System

Electronics ◽  
2021 ◽  
Vol 10 (15) ◽  
pp. 1801
Author(s):  
Chenyun Pan ◽  
Shengyu Tao ◽  
Hongtao Fan ◽  
Mengyao Shu ◽  
Yong Zhang ◽  
...  
Keyword(s):  
Energy Storage ◽  
Storage System ◽  
Energy Storage System ◽  
Cyber Physical System ◽  
Multi Objective Optimization ◽  
Hybrid Energy ◽  
Multi Objective ◽  
Hybrid Energy Storage ◽  
Hybrid Energy Storage System ◽  
Control Scheme

Optimal operation of energy storage systems plays an important role in enhancing their lifetime and efficiency. This paper combines the concepts of the cyber–physical system (CPS) and multi-objective optimization into the control structure of the hybrid energy storage system (HESS). Owing to the time-varying characteristics of HESS, combining real-time data with physical models via CPS can significantly promote the performance of HESS. The multi-objective optimization model designed in this paper can improve the utilization of supercapacitors, reduce energy consumption, and prevent the state of charge (SOC) of HESS from exceeding the limitation. The new control scheme takes the characteristics of the components of HESS into account and is beneficial in reducing battery short-term power cycling and high discharge currents. The rain-flow counting algorithm is applied for battery life prediction to quantify the benefits of the HESS under the control scheme proposed. A much better power-sharing relationship between the supercapacitor and the lithium–ion battery (LiB) can be observed from the SIMULINK results and the case study with our new control scheme. Moreover, compared to the traditional low-pass filter control method, the battery lifetime is quantifiably increased from 3.51 years to 10.20 years while the energy efficiency is improved by 1.56%.

Fuel Cell Emulator for Supercapacitor Energy Storage Applications

2013 ◽  
Vol 41 (6) ◽  
pp. 569-585 ◽  
Author(s):  
N. Benyahia ◽  
T. Rekioua ◽  
N. Benamrouche ◽  
A. Bousbaine
Keyword(s):  
Energy Storage ◽  
Fuel Cell ◽  
Supercapacitor Energy Storage ◽  
Energy Storage Applications
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