scholarly journals Optimizing Energy Storage Capacity in Islanded Microgrids Using Immunity-Based Multiobjective Planning

Energies ◽  
2018 ◽  
Vol 11 (3) ◽  
pp. 585 ◽  
Author(s):  
Ying-Yi Hong ◽  
Yong-Zhen Lai ◽  
Yung-Ruei Chang ◽  
Yih-Der Lee ◽  
Chia-Hui Lin
Keyword(s):  
Energy Storage ◽  
Storage Capacity ◽  
Energy Storage Capacity ◽  
Multiobjective Planning

scholarly journals Optimization of Energy Storage Capacity to Smooth Wind Power Fluctuation

2021 ◽  
Vol 687 (1) ◽  
pp. 012103
Author(s):  
Zenggong Cao ◽  
Chunyi Wang ◽  
Bo Peng ◽  
Yasong Wang ◽  
Peng Du ◽  
...  
Keyword(s):  
Energy Storage ◽  
Wind Power ◽  
Storage Capacity ◽  
Power Fluctuation ◽  
Energy Storage Capacity

Rational design of flower-like Co–Zn LDH@Co(H2PO4)2 heterojunctions as advanced electrode materials for supercapacitors

2021 ◽  
Vol 50 (13) ◽  
pp. 4643-4650
Author(s):  
Miao He ◽  
Yi He ◽  
Xinyi Zhou ◽  
Qiang Hu ◽  
Shixiang Ding ◽  
...  
Keyword(s):  
Energy Storage ◽  
Specific Capacitance ◽  
Rational Design ◽  
Electrode Materials ◽  
Storage Capacity ◽  
Energy Storage Capacity

The device exhibits 95.3% retention in specific capacitance after 5000 cycles and possesses superior energy-storage capacity.

scholarly journals Virtual energy storage capacity estimation using ANN‐based kWh modelling of refrigerators

2018 ◽  
Vol 1 (2) ◽  
pp. 31-39 ◽  
Author(s):  
Kandasamy Nandha Kumar ◽  
Krishnasamy Vijayakumar ◽  
Chaudhari Kalpesh
Keyword(s):  
Energy Storage ◽  
Storage Capacity ◽  
Capacity Estimation ◽  
Energy Storage Capacity

Virtual energy storage-gain due to spatiotemporal coordination of wind-, solar- and hydropower over Europe

2021 ◽  
Author(s):  
Anders Wörman ◽  
Daniela Mewes ◽  
Joakim Riml ◽  
Cintia Bertacchi-Uvo ◽  
Ilias Pechlivanidis
Keyword(s):  
Energy Storage ◽  
Storage Capacity ◽  
Meteorological Data ◽  
Production Optimization ◽  
Energy Potential ◽  
Combined System ◽  
System Perspective ◽  
Energy Storage Capacity ◽  
Power Variance ◽  
Spatiotemporal Coordination

<p>The functionality of a renewable electricity system in Europe depends on long-term climate variations, uneven spatiotemporal distribution of renewable energy, and constraints of storage and electric transmission. In particular, hydropower offers a large capacity for energy storage and production flexibility, but only stands for a minor part of the total energy potential. Here we explored the spatial and temporal power variance of a combined system consisting of wind-, solar- and hydropower availability for a 35-year period based on historical hydro-meteorological data from large parts of Europe. A spectral analysis of these historical time-series shows that spatiotemporal coordination within the power system can potentially contribute with a “virtual” energy storage capacity that is many times higher than the actual energy storage capacity contained in the existing hydropower reservoirs in Europe. Such virtual energy storage capacity implies reduced water storage demand, hence, indirectly contributes to reduced constraints of the food-water-energy nexus also in a wider system perspective. This study focused on the theoretical maximum potential for virtual energy storage, but the feasibility of this potential is limited by the uncertainty associated with production optimization and the meteorologic forecasts of future energy availability.</p>

Enhancing energy storage capacity of iron oxide-based anodes by adjusting Fe (II/III) ratio in spinel crystalline

2021 ◽  
Author(s):  
Xiaolin Jiang ◽  
Tao Chen ◽  
Bo Liu ◽  
Rongke Sun ◽  
Jiecai Fu ◽  
...  
Keyword(s):  
Energy Storage ◽  
Iron Oxide ◽  
Storage Capacity ◽  
Energy Storage Capacity

scholarly journals Sizing Hybrid Energy Storage Systems for Distributed Power Systems under Multi-Time Scales

2018 ◽  
Vol 8 (9) ◽  
pp. 1453 ◽  
Author(s):  
Huanan Liu ◽  
Dezhi Li ◽  
Yuting Liu ◽  
Mingyu Dong ◽  
Xiangnan Liu ◽  
...  
Keyword(s):  
Renewable Energy ◽  
Energy Storage ◽  
Power Systems ◽  
Power System ◽  
Time Scales ◽  
Carbon Emissions ◽  
Storage Capacity ◽  
Rapid Development ◽  
Super Capacitor ◽  
Energy Storage Capacity

With the rapid development of industry, more fossil energy is consumed to generate electricity, which increases carbon emissions and aggravates the burden of environmental protection. To reduce carbon emissions, traditional centralized power generation networks are transforming into distributed renewable generation systems. However, the deployment of distributed generation systems can affect power system economy and stability. In this paper, under different time scales, system economy, stability, carbon emissions, and renewable energy fluctuation are comprehensively considered to optimize battery and super-capacitor installation capacity for an off-grid power system. After that, based on the genetic algorithm, this paper shows the optimal system operation strategy under the condition of the theoretical best energy storage capacity. Finally, the theoretical best capacity is tested under different renewable energy volatility rates. The simulation results show that by properly sizing the storage system’s capacity, although the average daily costs of the system can increase by 10%, the system’s carbon emissions also reduce by 42%. Additionally, the system peak valley gap reduces by 23.3%, and the renewable energy output’s fluctuation range and system loss of load probability are successfully limited in an allowable range. Lastly, it has less influence on the theoretical best energy storage capacity if the renewable energy volatility rate can be limited to within 10%.

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