Electrical Energy Storage Research Articles

Status and Development Perspectives of the Compressed Air Energy Storage (CAES) Technologies—A Literature Review

The potential energy of compressed air represents a multi-application source of power. Historically employed to drive certain manufacturing or transportation systems, it became a source of vehicle propulsion in the late 19th century. During the second half of the 20th century, significant efforts were directed towards harnessing pressurized air for the storage of electrical energy. Today’s systems, which are based on storing the air at a high pressure, are usually recognized as compressed air energy storage (CAES) installations. This paper aims to provide an overview of different technologies that take advantage of the energy accumulated in the compressed air. Particular attention is paid to the CAES installations that are working as electrical energy storage systems (EESs). These systems, developed originally as large capacity (>100 MWe) and fuel-based installations, may soon become fully scalable, highly efficient, and fuel-free electrical energy storage systems. To present this opportunity, a thorough review encompassing previous and up-to-date advancements in their development was carried out. In particular, CAES concepts, such as diabatic (D-CAES), adiabatic (A-CAES), and isothermal (I-CAES), are described in detail. This review also provides the detailed characteristics of the crucial elements of these configurations, including compressors, expanders, air storage chambers, and thermal storage tanks. Knowledge of these components and their role allows us to understand the main challenges behind the further development of the mentioned CAES setups. Apart from the CAES systems that are designed as EES systems, this paper describes other prospective technologies that utilize the energy of pressurized air. Accordingly, compressed air cars and their key elements are explained in detail. Moreover, the technology renowned as wave-driven compressed air energy storage (W-CAES) is described as well, indicating that the utilization of pressurized air represents a viable option for converting ocean energy into electrical power.

Integration of Electric Vehicles and Renewable Energy in Indonesia’s Electrical Grid

As the global transition toward sustainable energy gains momentum, integrating electric vehicles (EVs), energy storage, and renewable energy sources has become a pivotal strategy. This paper analyses the interplay between EVs, energy storage, and renewable energy integration with Indonesia’s grid as a test case. A comprehensive energy system modeling approach using PLEXOS is presented, using historical data on electricity generation, hourly demand, and renewable energy, and multiple scenarios of charging patterns and EV adoption. Through a series of scenarios, we evaluate the impact of different charging strategies and EV penetration levels on generation capacity, battery storage requirements, total system cost, renewable energy penetration, and emissions reduction. The findings reveal that optimized charging patterns and higher EV adoption rates, compared to no EVs adoption, led to substantial improvements in renewable energy utilization (+4%), emissions reduction (−12.8%), and overall system cost (−9%). While EVs contribute to reduced emissions compared to conventional vehicles, non-optimized charging behavior may lead to higher total emissions when compared to scenarios without EVs. The research also found the potential of vehicle to grid (V2G) to reduce the need for battery storage compared to zero EV (−84%), to reduce emissions significantly (−23.7%), and boost penetration of renewable energy (+10%). This research offers valuable insights for policymakers, energy planners, and stakeholders seeking to leverage the synergies between EVs and renewable energy integration to pursue a sustainable energy future for Indonesia.

Load frequency stabilization of distinct hybrid conventional and renewable power systems incorporated with electrical vehicles and capacitive energy storage

Maintaining a power balance between generation and demand is generally acknowledged as being essential to maintaining a system frequency within reasonable bounds. This is especially important for linked renewable-based hybrid power systems (HPS), where disruptions are more likely to occur. This paper suggests a prominent modified “Fractional order-proportional-integral with double derivative (FOPIDD2) controller” as an innovative HPS controller in order to navigate these obstacles. The recommended control approach has been validated in power systems including wind, reheat thermal, solar, and hydro generating, as well as capacitive energy storage and electric vehicle. The improved controller’s performance is evaluated by comparing it to regular FOPID, PID, and PIDD2 controllers. Furthermore, the gains of the newly structured FOPIDD2 controller are optimized using a newly intended algorithm terms as squid game optimizer (SGO). The controller’s performance is compared to benchmarks such as the grey wolf optimizer (GWO) and jellyfish search optimization. By comparing performance characteristics such as maximum frequency undershoot/overshoot, and steadying time, the SGO-FOPIDD2 controller outperforms the other techniques. The suggested SGO optimized FOPIDD2 controller was analyzed and validated for its ability to withstand the influence of power system parameter uncertainties under various loading scenarios and situations. Without any complicated design, the results show that the new controller can work steadily and regulate frequency with an appropriate controller coefficient.

Formula Student class electric vehicle energy storage - study and design assumptions

Formula Student class electric vehicle energy storage - study and design assumptions

A Qualitative Study of Defects with Enhanced Transport Properties of Graphene Exfoliated from Gum Arabic by Rapid Sonication Method

Graphene‐like materials are utilized to make electrical devices, thermal sensors, biosensors, and energy storage batteries. Herein, an efficient and cost‐effective approach is demonstrated by modulating the sonication time duration for producing a few layers of graphene using the emulsification qualities of low‐cost and environmentally friendly gum Arabic. By implementing the modified approach, the production time for graphene synthesis is significantly reduced to a short duration as compared to preliminarily reported methodologies. XRD, field‐emission scanning electron microscopy, and Raman spectroscopic results of graphene samples are presented in order to study the nature of defects. The flakes are thin enough (20 nm) to seem semitransparent under the FESEM. From the combination of both I2D/IG and FWHM (2D), a predominant formation of 3–7 graphene layers is observed. It is identified that mainly foreign adatom defects are present, with a density of ≈1010 cm−2, which results in an increasing Hall carrier concentration (≈2 × 1023 m−3) and mobility (≈27 800 cm2 Vs−1). Furthermore, graphene has a higher electrical conductivity of ≈550 S cm−1, which is far better than previously reported. This research opens the way for the mass manufacturing of simple, green, and cost‐effective graphene with better quality and physical attributes.

Covalent organic frameworks as novel materials for overcoming key obstacles in lithium metal battery development

AbstractCovalent organic frameworks (COFs) are emerging as a potential material to the obstacles preventing the broad adoption of lithium metal batteries (LMBs). While these batteries offer a high energy density, they are plagued by challenges including dendrite growth, formation of dead lithium, and generation of an unstable solid electrolyte interphase (SEI). In this contribution, we undertake a comprehensive exploration of COFs, probing their capacity to surmount these hurdles via a spectrum of methodologies. These encompass the development of novel cathode materials, enhancement of the SEI layer, customization of separators, incorporation of electrolyte additives, and adaptation of current collector strategies. We also examine the potential of COFs in solid‐state LMBs, which offer even greater energy storage capability. Peering ahead, the ongoing refinement and advancement of COFs hold the potential to substantially elevate the efficiency and dependability of LMBs, ultimately paving the way for their expanded utilization in critical applications such as electric vehicles and energy storage for power grids.

Effect of Chlorinating Agents on Lithium Recovery and Product Purity from Lithium-ion Battery (LIB) Recycling Slags via Chlorination Roasting Process

ABSTRACT With the rapid growth of the electric vehicle (EV) and energy storage system (ESS) markets, the demand for lithium-ion batteries (LIBs) has skyrocketed, highlighting the importance of securing a sustainable supply of lithium. This study explores chlorination roasting as a method for recovering lithium from Li-containing slag, which is a promising alternative lithium source obtained from pyrometallurgical LIB recycling process. We investigate the efficiency of chlorination roasting in producing technical grade (TG) lithium chloride (LiCl) from the slag and quantitatively analyze the impurity behavior during the process. Different chlorinating agents, including CaCl2, NaCl, and PVC, are evaluated for their effectiveness in lithium recovery and purity. The results indicate that CaCl2 is the most effective in achieving high lithium recovery and LiCl purity, at approximately 90%. This offers a promising solution for sustainable lithium production. This research would highlight the importance of developing efficient recycling methods to meet the growing demand for lithium in EV and ESS applications.

Battery state of health estimation across electrochemistry and working conditions based on domain adaptation

Accurately assessing the health status of lithium-ion batteries is essential to ensure their safe and efficient application in electric vehicles and energy storage systems. Although various methods have been proposed to achieve battery state of health (SOH) estimation, most of them are only applicable to certain battery types or operating conditions. To address this issue, a novel method is proposed in this study, which leverages data-driven techniques and domain adaptation to cater to different battery electrochemistry and operating conditions. First, the evolution of battery aging is investigated and the incremental capacity sequence with ample aging information is extracted to indicate battery health. Then, the convolutional neural network and bidirectional long-short term memory network are combined to capture the nonlinear relationship between the input sequence and battery SOH. Next, a domain adaptation (DA) based on adversarial training is employed to enhance model adaptability by realizing domain-invariant features extraction. Furthermore, data augmentation is utilized to address data imbalance caused by significant lifespan disparity among different batteries. Finally, datasets with different battery types and aging conditions are used to verify the proposed method. The average estimation error of battery SOH can be controlled within 4.77 %, with over 30 % reduction contributed by the DA.

Analyzing the Risk-Return Trade-Off Relationship of Chinese New Energy Firms Using the Capital Asset Pricing Model

This study examines the risk-return trade-off for prominent Chinese new energy companies within the context of the country's burgeoning sustainable energy sector. Utilizing the Capital Asset Pricing Model (CAPM), the paper investigates the systematic risk factors impacting the stock returns of BYD, CATL, and Sungrow, which are leaders in the electric vehicles, energy storage, and photovoltaic sectors, respectively. The research highlights the unique beta coefficients indicative of each company's market volatility and explores the implications of these risk profiles for investors and policymakers. While the findings suggest the presence of abnormal returns and provide valuable insights for investment strategies and policy formulation, the paper acknowledges limitations in market-based risk assessment and suggests future research to incorporate a broader range of company-specific factors and comparative analyses. This study contributes significantly to understanding the complexities and dynamics of risk management in China's rapidly advancing new energy market.

Electric Vehicles for Smart Village

Today transport accounts for about 60 % of total world oil consumption. This global problem of Energy for propulsion motivates the automotive industry to turn to the electric drive. All major automobile manufacturers attentions are shifted to electrically propelled battery-operated electric vehicles (BEV). Improve the existing power system efficiency, alternate fuels, new materials or alternate power systems like electric vehicles. EV is a road vehicle based on modern electric propulsion consisting of electric machines, power electronic converters, electric energy sources and storage devices, and electronic controllers; EV is a broad concept, including BEV, HEV, FCEV, etc

Enhanced energy-storage properties in (Bi0.5Na0.5)TiO3 ceramics by doping linear perovskite materials Ca0.85Bi0.1(Sn0.5Ti0.5)O3

For energy storage applications in Bi0.5Na0.5TiO3 (BNT)-based materials, the key challenges are the premature polarization saturation and low breakdown electric field (Eb), which confine the energy storage capacity of BNT and significantly restrict progress in advancing pulsed power capacitors. Hence, the cooperative optimization strategy of band structure and defect engineering was proposed, which successfully obtained a high recoverable energy density of 3.83 J/cm3 and an energy efficiency of 77.9 % in the Bi0.5Na0.5TiO3-0.12Ca0.85Bi0.1(Sn0.5Ti0.5)O3 (BNT-0.12CBST) ceramics. Doping the BNT matrix with CBST has been shown to not only reduce grain size but also enhance relaxor behavior, which collectively improves breakdown strength and delays polarization saturation. Furthermore, the x = 0.12 ceramic also exhibits a commendable discharge power density of 91.9 MW/cm3 and a transient discharge time of 40 ns. The higher resistivity and lower oxygen vacancy concentration are conductive to acquire superior breakdown electric field and energy storage performance. We determine the crystal structure, dielectric and ferroelectric properties of the studied ceramics in a wide range of temperatures and concentrations, and a phase diagram is constructed, which illustrates the complex phases present and their transformation behavior. Our work provides an effective strategy to optimize the energy-storage of dielectric ceramics, and shows great potential for practical applications in pulse power systems.

Synthesis of cobalt nanoparticles in polystyrene matrix enhanced optical, dielectric, and magnetic properties

Recently, the development of particles fortified polymer composites has grown significantlydue to their intelligent uses in many fields.Cobalt nanoparticles' impact on the dielectric, optical, and magnetic properties of cobalt/polystyrene (Co/PS) nanocomposite films has been investigated. Co-NPs were preparedusing the reduction method and loadedintothepolystyrenematrixwith different concentrations(2, 5, 8, and 10 wt.%),forming nanocompositefilms. X-ray diffraction XRD was used to describe the structure of the produced films. The results showed a hexagonal (hcp) structure with ε phase of the Co-NPs in the PS matrix. The topography of the cross-section of nanocomposite films was scanned through a field emission electron microscope (FE-SEM). The high-resolution transmission electron microscope (HR-TEM) was used to examine the morphology of the produced Co-NPs. Zetasizer considered the charge and particle size distribution of the prepared Co-NPs powder. At room temperature, dielectric spectroscopy looked at the dielectric characteristics over a frequency range from 10−1 - 107 Hz. The UV analyzed the optical properties of nanocomposite films–VIS technique. The optical bandgap of the nanocomposite films is a direct allowed transition and decreases from 4.51 to 3.69e, which increases the absorption coefficient. A vibrating sample magnetometer (VSM) was used to measure the magnetic hysteresis loops of the produced films at room temperature. The ferromagnetic behavior of all samples was evident, and there was an apparent magnetic hysteresis. All samples exhibited high coercivity, where the exchange bias decreased from 28.02 Oe to 1.42 Oe with increasing Co wt% in PS. The present work found that the Co/PS nanocomposite films loaded with various concentrations of Co-NPs and tuned properties may be suitable for use in electrical energy storage, photonic devices, and some magnetic applications, such as spintronic devices.

Catalytically Active Carbon for Oxygen Reduction Reaction in Energy Conversion: Recent Advances and Future Perspectives.

The shortage and unevenness of fossil energy sources are affecting the development and progress of human civilization. The technology of efficiently converting material resources into energy for utilization and storage is attracting the attention of researchers. Environmentally friendly biomass materials are a treasure to drive the development of new-generation energy sources. Electrochemical theory is used to efficiently convert the chemical energy of chemical substances into electrical energy. In recent years, significant progress has been made in the development of green and economical electrocatalysts for oxygen reduction reaction (ORR). Although many reviews have been reported around the application of biomass-derived catalytically active carbon (CAC) catalysts in ORR, these reviews have only selected a single/partial topic (including synthesis and preparation of catalysts from different sources, structural optimization, or performance enhancement methods based on CAC catalysts, and application of biomass-derived CACs) for discussion. There is no review that systematically addresses the latest progress in the synthesis, performance enhancement, and applications related to biomass-derived CAC-based oxygen reduction electrocatalysts synchronously. This review fills the gap by providing a timely and comprehensive review and summary from the following sections: the exposition of the basic catalytic principles of ORR, the summary of the chemical composition and structural properties of various types of biomass, the analysis of traditional and the latest popular biomass-derived CAC synthesis methods and optimization strategies, and the summary of the practical applications of biomass-derived CAC-based oxidative reduction electrocatalysts. This review provides a comprehensive summary of the latest advances to provide research directions and design ideas for the development of catalyst synthesis/optimization and contributes to the industrialization of biomass-derived CAC electrocatalysis and electric energy storage.

Research on Energy Storage Flywheel Motor Drive Control Technology

Currently there is a way to use for energy storage: batteries for chemical energy storage, super for electric field energy storage, and flywheel batteries for mechanical energy storage. Flywheel energy storage has the advantages of high energy storage density, high efficiency, short charging time, no pollution, wide applicability, no noise, long service life, easy maintenance and continuous operation. Recently the most promising and competitive new energy storage technology - flywheel energy storage technology, relative to other forms of energy storage, by domestic and foreign experts unanimously optimistic. This paper will focus on the composition and operation principle of flywheel energy storage system, the classification of drive control strategy, charging control strategy, discharge control strategy and other aspects.

Enhanced magnetoelectric and energy storage performance of strain-modified PVDF-Ba0.7Ca0.3TiO3-Co0.6Zn0.4Fe2O4 nanocomposites

The experimental development of thin films that exhibit higher room-temperature low-field magnetoelectric (ME) sensing without compromising reliable electrical energy storage capabilities is rare. Here, an improved ferroelectric polarization, ME coupling and energy storage performance of polymer-based nanocomposites, which find applications in portable high-power dielectric capacitors, are studied. Multiferroic nanofiller-based three-phase flexible nanocomposites, polyvinylidene fluoride (PVDF)-(Ba0.7Ca0.3)TiO3-(Co0.6Zn0.4)Fe2O4, were fabricated using compression molding to enhance polarization which is pivotal for applications. PVDF with a high β-phase content (92.4 %), switchable ferroelectric behavior and higher breakdown strength (510 kV/mm) was obtained under optimized process conditions (500 MPa at 165 °C). The fabrication assisted alteration of intermolecular chain distance results in a tensile strain (1.42 %) of β-crystallites corresponding to an internal stress of ~21 MPa. The progressive increase of nanofiller content has led to enhanced polarization (11 μC/cm2), soft ferromagnetic properties, and enhanced ME coupling of 59 mV/cm-Oe due to switchable magnetostriction (λ11 = −18 ppm and dλ11/d = −22 × 10−9 Oe−1) at lower saturation field of 1.2 kOe. The ME sensitivity was found to be more than two-folds enhanced compared to solution-cast films making them prospective self-biased flexible devices for wearable electronics. Simultaneously, enhanced change of magnetization (19.6 %) under electric field was obtained. Detailed energy storage characteristics confirm that the nanofiller inclusion up to 7.12 vol% effectively improved the recoverable energy storage density (21.2 J/cm3) with an efficiency of 67 %. The experimental and simulation results corroborate a significantly improved breakdown strength of 617 kV/mm with reliable performance. Thus, careful processing provides viable polymer dielectrics with beneficial storage characteristics.

Optimal sizing and power losses reduction of photovoltaic systems using PSO and LCL filters.

The integration of renewable energy systems into electricity grids is a solution for strengthening electricity distribution networks (SEDNs). Renewable energies such as solar photovoltaics are suitable for reinforcing a low-voltage line by offering an electrical energy storage system. However, the integration of photovoltaic systems can lead to problems of harmonic distortion due to the presence of direct current or non-linear feedback in networks from other sources. Therefore, connection standards exist to ensure the quality of the energy before injection at a point of common coupling (PCC). In this work, particle swarm optimization (PSO) is used to control a boost converter and to evaluate the power losses and the harmonic distortion rate. The test on the IEEE 14 bus standard makes it possible to determine the allocation or integration nodes for other sources such as biomass, wind or hydrogen generators, in order to limit the impact of harmonic disturbances (LIHs). The evaluation of the harmonic distortion rate, the power losses as well as the determination of the system size is done using an objective function defined based on the integration and optimization constraints of the system. The proposed model performs better since the grid current and voltage are stabilized in phase after the photovoltaic source is injected.

Suppressing the Shuttle Effect of Aqueous Zinc-Iodine Batteries: Progress and Prospects.

Aqueous zinc-iodine batteries are considered to be one of the most promising devices for future electrical energy storage due to their low cost, high safety, high theoretical specific capacity, and multivalent properties. However, the shuttle effect currently faced by zinc-iodine batteries causes the loss of cathode active material and corrosion of the zinc anodes, limiting the large-scale application of zinc-iodine batteries. In this paper, the electrochemical processes of iodine conversion and the zinc anode, as well as the induced mechanism of the shuttle effect, are introduced from the basic configuration of the aqueous zinc-iodine battery. Then, the inhibition strategy of the shuttle effect is summarized from four aspects: the design of cathode materials, electrolyte regulation, the modification of the separator, and anode protection. Finally, the current status of aqueous zinc-iodine batteries is analyzed and recommendations and perspectives are presented. This review is expected to deepen the understanding of aqueous zinc-iodide batteries and is expected to guide the design of high-performance aqueous zinc-iodide batteries.

Long-term equilibrium in electricity markets with renewables and energy storage only

AbstractIn this paper, we study the optimal generation mix in power systems where only two technologies are available: variable renewable energy (VRE) and electric energy storage (EES). By using a net load duration curve approach, we formulate a least-cost optimization model in which EES is only limited by its power capacity. We solve this problem analytically and find least-cost and market equilibrium conditions that lead to the optimal capacities of VRE and EES. We show that, mathematically, an electricity price structure that depends on the period of the year (i.e. EES charging or discharging, VRE curtailment, load shedding) and on investments costs leads to cost recovery for VRE and EES. We show that when EES is the marginal technology (either charging or discharging) the price must be non-zero. More specifically, the equilibrium prices during EES charge or discharge are functions of the EES and VRE fixed costs. We confirm our analytical findings using a numerical model. We argue that, although the system we study is hypothetical and simplified, our findings provide insights and research directions for how to recover fixed costs in a future electricity market based on VRE and EES only.

Обзор методов контроля и диагностики систем накопления электрической энергии

Goal: review of the current situation and perspective directions for the development of technology for testing electrical energy storage systems based on lithium-ion batteries. Methods: using literature analysis, a review and systematization of the history of lithium-ion battery system monitoring technology development was conducted and the advantages and disadvantages of the most common state of charge (SOC) methods were compared. Results: lithium-ion battery systems represent an inevitable trend in the future of electrochemical energy storage. To increase their stability and economic efficiency, it is necessary that diagnostic systems allow the internal parameters of the battery to be determined with sufficient accuracy and the types of faults to be quickly determined. In the future, research in this area will continue to improve the accuracy of data acquisition systems and create accurate digital battery models. Practical significance: a review and systematization of the history of development of technology for monitoring the condition of lithium-ion battery systems was carried out in order to identify current problems and promising directions for future research in this area.

Design of passive voltage balancer system for lead acid battery

The use of rechargeable batteries for electrical energy storage requires a voltage balancing system. The voltage balancing system requires monitoring in the use of rechargeable batteries so that they can be utilized properly and can improve the electrical energy storage system. In this research, a monitored lead acid battery voltage balancing system was designed so that the management of the battery voltage balance level and the storage of electrical energy in rechargeable batteries can be stored and used optimally. In this research a series of lead acid battery voltage detection and power dissipation circuits were designed. The power dissipation circuit uses the controlled shunt resistor method which is used when the voltage of the lead acid battery being charged exceeds the maximum voltage. This method is easy to implement and can display the value of the lead acid battery voltage and other parameters, so that it can be monitored by the user. The results obtained show that the average voltage error for batteries 1 and 2 is 0.09% and 0.3% respectively. The power dissipation circuit can dissipate lead acid battery power above the reference voltage VREF=±7 V, with a balanced voltage of 6.8 V at 140 minutes and 160 minutes.