A copper tetrathiovanadate anode for ultra-stable potassium-ion storage

2021 ◽  
Author(s):  
Qifei Li ◽  
Xiangxiang Ye ◽  
Siling Cheng ◽  
Hong Yu ◽  
Weiling Liu ◽  
...  
Keyword(s):  
Energy Storage ◽  
Storage System ◽  
Lithium Ion ◽  
Energy Storage System ◽  
Potassium Ion ◽  
Ion Storage ◽  
Natural Reserves

Given the abundant natural reserves of potassium and its similar properties with lithium, potassium-ion batteries (KIBs) are expected to be an emerging energy storage system to take replace of lithium-ion...

Rational design of a tubular, interlayer expanded MoS2–N/O doped carbon composite for excellent potassium-ion storage

2019 ◽  
Vol 7 (15) ◽  
pp. 9305-9315 ◽  
Author(s):  
Nan Zheng ◽  
Guangyu Jiang ◽  
Xiao Chen ◽  
Jiayi Mao ◽  
Yajun Zhou ◽  
...  
Keyword(s):  
Energy Storage ◽  
Rational Design ◽  
Large Scale ◽  
Storage System ◽  
Energy Storage System ◽  
Carbon Composite ◽  
Potassium Ion ◽  
Electrochemical Energy Storage ◽  
Ion Storage ◽  
Electrochemical Energy

Potassium ion batteries (KIBs) are the emerging and promising energy storage system for large-scale electrochemical energy storage.

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.

scholarly journals Operation of the Hybrid Photovoltaic-Battery System on the Electricity Market—Simulation, Real-Time Tests and Cost Analysis

Energies ◽  
2020 ◽  
Vol 13 (6) ◽  
pp. 1402 ◽  
Author(s):  
Robert Małkowski ◽  
Marcin Jaskólski ◽  
Wojciech Pawlicki
Keyword(s):  
Energy Storage ◽  
Storage System ◽  
Market Price ◽  
Lithium Ion ◽  
Energy Storage System ◽  
Photovoltaic System ◽  
Battery Energy Storage System ◽  
Levelized Cost Of Electricity ◽  
Battery Energy Storage ◽  
Battery Energy

This paper presents research on a hybrid photovoltaic-battery energy storage system, declaring its hourly production levels as a member of a balancing group submitting common scheduling unit to the day-ahead market. It also discusses the variability of photovoltaic system generation and energy storage response. The major research questions were whether the operation of a hybrid photovoltaic-battery energy storage system is viable from the technical and economic viewpoint and how to size battery energy storage for that purpose. The DIgSILENT PowerFactory environment was used to develop the simulation model of postulated hybrid system. Then, tests were conducted on real devices installed in the LINTE^2 laboratory at Gdańsk University of Technology, Poland. Firstly, power generation in the photovoltaic system was modeled using hardware in the loop technique and tested in cooperation with emulated photovoltaic and real battery energy storage system (lithium-ion battery, 25 kWh). Secondly, a real photovoltaic power plant (33 kW) and real battery energy storage were applied. The results obtained from laboratory experiments showed that market operation of hybrid photovoltaic-battery energy storage system is feasible. However, developing a control strategy constitutes a great challenge, as the operator is forced to intervene more frequently than the simulation models indicate in order to keep the parameters of battery storage within accepted ranges, especially in view of a sudden weather breakdown. Levelized cost of electricity from photovoltaic-battery energy storage system varied from 314 to 455 $/MWh, which has proven to be from two to three times higher than the current annual average day-ahead market price in Poland.

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