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Number of results: 11
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Abstract

The paper describes factors influencing the development of electricity storage technologies.

The results of the energy analysis of the electric energy storage system in the form of hydrogen are

presented. The analyzed system consists of an electrolyzer, a hydrogen container, a compressor, and

a PEMFC fuel cell with an ion-exchange polymer membrane. The power curves of an electrolyzer

and a fuel cell were determined. The analysis took the own needs of the system into account, i.e. the

power needed to compress the produced hydrogen and the power of the air compressor supplying

air to the cathode channels of the fuel cell stack. The characteristics describing the dependence

of the efficiency of the energy storage system in the form of hydrogen as a function of load were

determined. The costs of electricity storage as a function of storage capacity were determined. The

energy aspects of energy accumulation in lithium-ion cells were briefly characterized and described.

The efficiency of the charge/discharge cycle of lithium-ion batteries has been determined. The

graph of discharge of the lithium-ion battery depending on the current value was presented. The key

parameters of battery operation, i.e. the Depth of Discharge (DoD) and the State of Charge (SoC),

were determined. Based on the average market prices of the available lithium-ion batteries for the

storage of energy from photovoltaic cells, unit costs of electrochemical energy storage as a function

of the DoD parameter were determined.

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Authors and Affiliations

Bartosz Ceran
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Abstract

The second decade of the 21st century is a period of intense development of various types of energy storage other than pumped-storage hydroelectricity. Battery and thermal storage systems are particularly rapidly developing ones. The observed phenomenon is a result of a key megatrend, i.e. the development of intermittent renewable energy sources (IRES) (wind power, photovoltaics). The development of RES, mainly in the form of distributed generation, combined with the dynamic development of electric mobility, results in the need to stabilize the grid frequency and voltage and calls for new solutions in order to ensure the security of energy supplies. High maturity, appropriate technical parameters, and increasingly better economic parameters of lithium battery technology (including lithium-ion batteries) result in a rapid increase of the installed capacity of this type of energy storage. The abovementioned phenomena helped to raise the question about the prospects for the development of electricity storage in the world and in Poland in the 2030 horizon. The estimated worldwide battery energy storage capacity in 2030 is ca. 51.1 GW, while in the case of Poland it is approximately 410.6 MW.
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Authors and Affiliations

Krystian Krupa
Łukasz Nieradko
Adam Haraziński
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Abstract

The aim of these studies was to obtain single phase cubic modification of Li7La3Zr2O12 by mechanical milling and annealing of La(OH)3, Li2CO3 and ZrO2 powder mixture. Fritsch P5 planetary ball mill, Rigaku MiniFlex II X-ray diffractometer, Setaram TG-DSC 1500 analyser and FEI Titan 80-300 transmission electron microscope were used for sample preparation and investigations. The applied milling and annealing parameters allowed to obtain the significant contribution of c-Li7La3Zr2O12 in the sample structure, reaching 90%. Thermal measurements revealed more complex reactions requiring further studies.

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Authors and Affiliations

D. Oleszak
B. Kurowski
T. Pikula
M. Pawlyta
M. Senna
H. Suzuki
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Abstract

The problem of lithium-ion cells, which degrade in time on their own and while used, causes a significant decrease in total capacity and an increase in inner resistance. So, it is important to have a way to predict and simulate the remaining usability of batteries. The process and description of cell degradation are very complex and depend on various variables. Classical methods are based, on the one hand, on fitting a somewhat arbitrary parametric function to laboratory data and, on the other hand, on electrochemical modelling of the physics of degradation. Alternative solutions are machine learning ones or nonparametric ones like support-vector machines or the Gaussian process (GP), which we used in this case. Besides using the GP, our approach is based on current knowledge of how to use non-parametric approaches for modeling the electrochemical state of batteries. It also uses two different ways of dealing with GP problems, like maximum likelihood type II (ML-II) methods and the Monte Carlo Markov Chain (MCMC) sampling.
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Authors and Affiliations

Adrian Dudek
1
ORCID: ORCID
Jerzy Baranowski
1
ORCID: ORCID

  1. Department of Automatic Control and Robotics, AGH University of Science and Technology, Kraków, Poland
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Abstract

The article present results of economic efficiency evaluation of storage technology for electricity from coal power plants in large-scale chemical batteries. The benefits of using a chemical lithium-ion battery in a public power plant based on hard coal were determined on the basis of data for 2018 concerning the mining process. The analysis included the potential effects of using a 400 MWh battery to optimize the operation of 350 MW power units in a coal power plant. The research team estimated financial benefits resulting from the reduction of peak loads and the work of individual power units in the optimal load range. The calculations included benefits resulting from the reduction of fuel consumption (coal and heavy fuel oil – mazout) as well as from the reduction of expenses on CO2 emission allowances.

The evaluation of the economic efficiency was enabled by a model created to calculate the NPV and IRR ratios. The research also included a sensitivity analysis which took identified risk factors associated with changes in the calculation assumptions adopted in the analysis into account. The evaluation showed that the use of large-scale chemical batteries to optimize the operation of power units of the subject coal power plant is profitable. A conducted sensitivity analysis of the economic efficiency showed that the efficiency of the battery and the costs of its construction have the greatest impact on the economic efficiency of the technology of producing electricity in a coal power plant with the use of a chemical battery. Other variables affecting the result of economic efficiency are the factors related to battery durability and fuels: battery life cycle, prices of fuels, prices of CO2 emission allowances and decrease of the battery capacity during its lifetime.

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Authors and Affiliations

Piotr Krawczyk
ORCID: ORCID
Anna Śliwińska
Mariusz Ćwięczek
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Abstract

Conventional fuels are the primary source of pollution. Switching towards clean energy becomes increasingly necessary for sustainable development. Electric vehicles are the most suitable alternative for the future of the automobile industry. The battery, being the power source, is the critical element of electric vehicles. However, its charging and discharging rates have always been a question. The discharge rate depends upon various factors such as vehicle load, temperature gradient, surface inclination, terrain, tyre pressure, and vehicle speed. In this work, a 20 Ah, 13S-8P configured lithium-ion battery, developed specifically for a supermileage custom vehicle, is used for experimentation. The abovementioned factors have been analyzed to check the vehicle’s overall performance in different operating conditions, and their effects have been investigated against the battery’s discharge rate. It has been observed that the discharge rate remains unaffected by the considered temperature difference. However, overheating the battery results in thermal runaway, damaging and reducing its life. Increasing the number of brakes to 15, the impact on the discharge rate is marginal; however, if the number of brakes increases beyond 21, a doubling trend in voltage drops was observed. Thus, a smoother drive at a slow-varying velocity is preferred. Experiments for different load conditions and varying terrains show a rise in discharge with increasing load, low discharge for concrete, and the largest discharge for rocky terrain.
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Authors and Affiliations

Shreya Dhawan
1
Aanchal Sabharwal
2
Rupali Prasad
2
Shreya Shreya
2
Aarushi Gupta
2
Yusuf Parvez
3

  1. Duke University, Durham, USA
  2. Indira Gandhi Delhi Technical University for Women, Mechanical and Automation Engineering, New Delhi, India
  3. Maulana Azad National Urdu University, Mechanical Engineering, Cuttack, Odisha, India
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Abstract

Climate change is driving the transformation of energy systems from fossil to renewable energies. In industry, power supply systems and electro-mobility, the need for electrical energy storage is rising sharply. Lithium-based batteries are one of the most widely used technologies. Operating parameters must be determined to control the storage system within the approved operating limits. Operating outside the limits, i.e., exceeding or falling below the permitted cell voltage, can lead to faster aging or destruction of the cell. Accurate cell information is required for optimal and efficient system operation. The key is high-precision measurements, sufficiently accurate battery cell and system models, and efficient control algorithms. Increasing demands on the efficiency and dynamics of better systems require a high degree of accuracy in determining the state of health and state of charge (SOC). These scientific contributions to the above topics are divided into two parts. In the first part of the paper, a holistic overview of the main SOC assessment methods is given. Physical measurement methods, battery modeling, and the methodology of using the model as a digital twin of a battery are addressed and discussed. In addition, adaptive methods and artificial intelligence methods that are important for SOC calculation are presented. Part two of the paper presents examples of the application areas and discusses their accuracy.
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Authors and Affiliations

Marcel Hallmann
1
ORCID: ORCID
Christoph Wenge
2
ORCID: ORCID
Przemyslaw Komarnicki
1
ORCID: ORCID

  1. Magdeburg–Stendal University of Applied Sciences, Germany
  2. Fraunhofer IFF Magdeburg, Germany
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Abstract

The use of lithium-ion battery energy storage (BES) has grown rapidly during the past year for both mobile and stationary applications. For mobile applications, BES units are used in the range of 10–120 kWh. Power grid applications of BES are characterized by much higher capacities (range of MWh) and this area particularly has great potential regarding the expected energy system transition in the next years. The optimal operation of BES by an energy storage management system is usually predictive and based strongly on the knowledge about the state of charge (SOC) of the battery. The SOC depends on many factors (e.g. material, electrical and thermal state of the battery), so that an accurate assessment of the battery SOC is complex. The SOC intermediate prediction methods are based on the battery models. The modeling of BES is divided into three types: fundamental (based on material issues), electrical equivalent circuit (based on electrical modeling) and balancing (based on a reservoir model). Each of these models requires parameterization based on measurements of input/output parameters. These models are used for SOC modelbased calculation and in battery system simulation for optimal battery sizing and planning. Empirical SOC assessment methods currently remain the most popular because they allow practical application, but the accuracy of the assessment, which is the key factor for optimal operation, must also be strongly considered. This scientific contribution is divided into two papers. Paper part I will present a holistic overview of the main methods of SOC assessment. Physical measurement methods, battery modeling and the methodology of using the model as a digital twin of a battery are addressed and discussed. Furthermore, adaptive methods and methods of artificial intelligence, which are important for the SOC calculation, are presented. In paper part II, examples of the application areas are presented and their accuracy is discussed.
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Authors and Affiliations

Marcel Hallmann
1
ORCID: ORCID
Christoph Wenge
2
ORCID: ORCID
Przemyslaw Komarnicki
1
ORCID: ORCID
Stephan Balischewski
2
ORCID: ORCID

  1. Magdeburg-Stendal University of Applied Sciences, Germany
  2. Fraunhofer IFF Magdeburg, Germany
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Abstract

In this study, cobalt oxide (Co3O4) powder was prepared by simple precipitation and heat-treatment process of cobalt sulfate that is recovered from waste lithium-ion batteries (LIBs), and the effect of heat-treatment on surface properties of as-synthesized Co(OH)2 powder was systematically investigated. With different heat-treatment conditions, a phase of Co(OH)2 is transformed into CoOOH and Co3O4. The result showed that the porous and large BET surface area (ca. 116 m2/g) of Co3O4 powder was prepared at 200°C for 12 h. In addition, the lithium electroactivity of Co3O4 powder was investigated. When evaluated as an anode material for LIB, it exhibited good electrochemical performance with a specific capacity of about 500 mAh g–1 at a current density of C/5 after 50 cycles, which indicates better than those of commercial graphite anode material.
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Authors and Affiliations

Hyun-Woo Shim
1
ORCID: ORCID
Byoungyong Im
2 3
ORCID: ORCID
Soyeong Joo
2
ORCID: ORCID
Dae-Guen Kim
ORCID: ORCID

  1. Resources Utilization Research Division, Korea Institute of Geoscience & Mineral Resources (KIGAM)
  2. Materials Science and Chemical Engineering Center, Institute for Advanced Engineering (IAE ), 51 Goan Rd., Baegam-myeon, Yongin-si, Gyeonggi 17180, Yongin, Republic of Korea
  3. Sejong University, Depart ment of Nanotechnology and Advanced Materials Engineering, Seoul, Republic of Korea
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Abstract

This article examines in depth the most recent thermal testing techniques for lithium-ion batteries (LIBs). Temperature estimation circuits can be divided into six divisions based on modeling and calculation methods, including electrochemical computational modeling, equivalent electric circuit modeling (EECM), machine learning (ML), digital analysis, direct impedance measurement, and magnetic nanoparticles as a base. Complexity, accuracy, and computational cost-based EECM circuits are feasible. The accuracy, usability, and adaptability of diagrams produced using ML have the potential to be very high. However, both cannot anticipate low-cost integrated BMS live due to their high computational costs. An appropriate solution might be a hybrid strategy that combines EECM and ML.
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Authors and Affiliations

Ahmed Abd El Baset Abd El Halim
Ehab Hassan Eid Bayoumi
Walid El-Khattam
Amr Mohamed Ibrahim
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Abstract

This study investigated the recovery behavior of valuable metals (Co, Ni, Cu and Mn) in spent lithium ion-batteries based on Al2O3-SiO2-CaO-Fe2O3 slag system via DC submerged arc smelting process. The valuable metals were recovered by 93.9% at the 1250℃ for 30 min on the 20Al2O3-40SiO2-20CaO-20Fe2O3 (mass%) slag system. From the analysis of the slag by Fourier-transform infrared spectroscopy, it was considered that Fe2O3 and Al2O3 acted as basic oxides to depolymerize SiO4 and AlO4 under the addition of critical 20 mass% Fe2O3 in 20Al2O3-40SiO2-CaO-Fe2O3 (CaO + Fe2O3 = 40 mass%). In addition, it was observed that the addition of Fe2O3 ranging between 20 and 30 mass% lowers the melting point of the slag system.
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Authors and Affiliations

Tae Boong Moon
1 2
ORCID: ORCID
Chulwoong Han
2
ORCID: ORCID
Soong Keun Hyun
1
ORCID: ORCID
Sung Cheol Park
2
ORCID: ORCID
Seong Ho Son
2
ORCID: ORCID
Man Seung Lee
3
ORCID: ORCID
Yong Hwan Kim
2
ORCID: ORCID

  1. Inha University, Department of Materials Science and Engineering, Incheon, Korea
  2. Korea Institute of Industrial Technology, Research Institute of Advanced Manufacturing and Materials Technology Incheon, 156, Gaetbeol Rd., Yeonsu-gu, Incheon, 406-840, Korea
  3. Mokpo National University, Department of Materials Science and Engineering Mokpo, Korea

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