Storage System Technology Research Articles

Graph Neural Network (GNN) for Joint Detection–Decoder MAP–LDPC in Bit-Patterned Media Recording Systems

With its high area density, bit-patterned media recording (BPMR) is emerging as a leading technology for next-generation storage systems. However, as area density increases, magnetic islands are positioned closer together, causing significant two-dimensional (2D) interference. To address this, detection methods are used to interpret the received signal and mitigate 2D interference. Recently, the maximum a posteriori (MAP) detection algorithm has shown promise in improving BPMR performance, though it requires extrinsic information to effectively reduce interference. In this paper, to solve the 2D interference and improve the performance of BPMR systems, a model using low-density parity-check (LDPC) coding was introduced to supply the MAP detector with the needed extrinsic information, enhancing detection in a joint decoding model we call MAP–LDPC. Additionally, leveraging similarities between LDPC codes and graph neural networks (GNNs), we replace the traditional sum–product algorithm in LDPC decoding with a GNN, creating a new model, MAP–GNN. The simulation results demonstrate that MAP–GNN achieves superior performance, particularly when using the deep learning-based GNN approach over conventional techniques.

A Nanocluster Colloidal Electrolyte Enables Highly Stable and Reversible Zinc Anodes.

Aqueous zinc-ion batteries represent a favorable technology for stationary energy storage systems owing to their safety, reliability, and cost-effectiveness. However, Zn anodes suffer uncontrollable dendrite formation and harmful side reactions that lead to a short lifespan. Herein, we demonstrate a nanocluster colloidal electrolyte strategy for stabilizing the zinc anodes. A copper nanocluster (CuNC) is screened out to validate the efficient suppression of messy dendrites and side reactions. A CuNC could resurface a zincophilic and protective interlayer for interfacially steering uniform Zn stripping/plating and mitigating corrosion/hydrogen evolution reactions. Impressively, the colloidal electrolyte enables zinc anodes to show a high Coulombic efficiency of 99.8% over 2100 cycles and extended lifespans of 2200 and 1300 h under 0.5 and 5 mA cm-2, respectively. A full cell based on the modified electrolyte exhibits significantly improved cycling durability for more than 15 000 cycles. This work will aid in the design of nanocluser colloidal electrolytes with respect to stable zinc chemistry and beyond.

Cutting-Edge Energy Storage System and Battery Management Technology

Cutting-Edge Energy Storage System and Battery Management Technology

Battery energy storage with renewable energy sources integration in unbalanced distribution network considering time of use pricing

The increasing demand for sustainable energy solutions and the escalating energy demand have facilitated the emergence of renewable energy sources (RES), such as photovoltaic (PV) sources. Combining RES with battery energy storage system (BESS) technology reduces peak hour demand and allows for economical charging and discharging for time-based energy pricing. Integrating PV and BESS in an unbalanced system with multiple RES sources is a challenging task. It requires a robust algorithm to minimise power loss in the distribution system and decrease the voltage unbalance factor (VUF). This paper presents a new multi-objective Pelican optimisation algorithm (MOPOA) for the optimal allocation of PV and BESS. The MOPOA helps find the best placement of PV and BESS in an IEEE-33 bus unbalanced radial distribution system (URDS). The proposed algorithm combines multiple benefits from a lower net present cost (NPC) and a higher voltage profile enhancement index (VPEI). The case studies and simulation results show that the proposed method places PV and BESS in IEEE 33-bus URDS optimally, satisfying all of the system’s requirements. The results indicate an improvement in the minimum VUF factor of 4.4% in a winter day and 4.3% in a summer day; a reduction in active power loss of 16% in a winter day and 7.1% in a summer day; and a reduction in reactive power loss of 7.5% in a winter day and 7.2% in a summer day. Thus, the recommended strategy effortlessly accelerates to a suboptimal solution.

A long-cycle-life reversible Li-CO2 battery enabled by engineering the active sites of graphene with Pd nanoparticles.

Li-CO2 batteries have been recognized as an emerging technology for energy storage systems owing to their high theoretical specific energy and environmentally friendly CO2 fixation ability. However, their development for applications requires a high energy efficiency and long cycle-life, this is currently limited to the formation of wide-bandgap insulator Li2CO3 during discharge. Here, nanoparticle Pd supported on reduced graphene oxide (rGO) is utilized as cathodes for Li-CO2 batteries, Pd nanoparticles as active centers significantly enhance CO2RR/CO2ER reaction activity, which can support the fast formation and decomposition of Li2CO3 in organic electrolytes and achieve a high discharge capacity of 7500 mAh g-1. It also performs remarkably high cycling stability of over 500 cycles with a long cycle-life of 5000 hours. The observed super electrochemical performance is attributable to the thick electrode design and uniform distribution of ultrafine catalyst nanoparticle Pd. When Li2CO3 is adsorbed on Pd particle, the Li-O bond in Li2CO3 will be elongated due to the interactions of two nucleophilic O atoms with Pd, resulting in a weakening of the Li-O bond and activation of Li2CO3. Our work suggests a way to design catalysts with high activity that can be used to activate the performance of Li-CO2 batteries.

An efficient blockchain-based framework for file sharing

File sharing, being the foundation of the Internet, has traditionally relied on a centralized service architecture resulting in significant maintenance costs. Moreover, due to the lack of an effective file management system, instances of sensitive information going out of control and loss of confidentiality in file sharing have occurred frequently. In order to address the difficulty of tamper detection and the lack of supervision in the entire process of file transfer in the current Internet environment, this paper designs a blockchain-based system architecture for secure sharing of electronic documents. An efficient blockchain model is used in our framework, and with the help of distributed storage system and asymmetric encryption technology, file sharing can be controlled, reliable and traceable in the transfer process. Referring to existing consensus mechanisms, e.g., Delegated Proof of Stake (DPoS) and Practical Byzantine Fault Tolerance (PBFT), we propose a new consensus for efficient and secure file sharing. Our experimental results show that our framework can maintain a higher throughput than existing schemes

'Beyond Li-ion technology'-a status review.

Li-ion battery is currently considered to be the most proven technology for energy storage systems when it comes to the overall combination of energy, power, cyclability and cost. However, there are continuous expectations for cost reduction in large-scale applications, especially in electric vehicles and grids, alongside growing concerns over safety, availability of natural resources for lithium, and environmental remediation. Therefore, industry and academia have consequently shifted their focus towards 'beyond Li-ion technologies'. In this respect, other non-Li-based alkali-ion/polyvalent-ion batteries, non-Li-based all solid-state batteries, fluoride-ion/ammonium-ion batteries, redox-flow batteries, sand batteries and hydrogen fuel cells etc. are becoming potential cost-effective alternatives. While there has been notable swift advancement across various materials, chemistries, architectures, and applications in this field, a comprehensive overview encompassing high-energy 'beyond Li-ion' technologies, along with considerations of commercial viability, is currently lacking. Therefore, in this review article, a rationalized approach is adopted to identify notable 'post-Li' candidates. Their pros and cons are comprehensively presented by discussing the fundamental principles in terms of material characteristics, relevant chemistries, and architectural developments that make a good high-energy 'beyond Li' storage system. Furthermore, a concise summary outlining the primary challenges of each system is provided, alongside the potential strategies being implemented to mitigate these issues. Additionally, the extent to which these strategies have positively influenced the performance of these 'post-Li' technologies is discussed.

Comparative study of dynamic response by three types of energy storage systems for grid studies: A Microgrid Laboratory experimental-based study

Implementing Energy Storage Systems (ESS) is increasingly significant in power electrical systems. This is attributed to their ability to store surplus electricity generated by renewable energy sources such as wind and solar, contributing to the balance between generation and demand. Literature studies indicate that this practice enhances network stability and diminishes the need for expensive redesigns in infrastructure. This paper presents an exhaustive experimentation-based study of the dynamic response provided by three energy storage system technologies: supercapacitors, Lithium-Ion batteries, and Vanadium redox flow batteries, technologies with significant academic, research, and industrial interests nowadays. The objective of this research is the experimental evaluation of the performance of such technologies in real electrical system operations, focusing on determining the efficiency of charge and discharge, as well as the tracking of active and reactive power achieved through the associated grid interface. The experimental tests performed in a microgrid laboratory show these technologies’ advantages and limitations in different grid-integration applications, with the Lithium-Ion battery-based ESS demonstrating the highest efficiency and faster power response. The results achieved and reported in the article can serve as an essential input for researchers and technology developers to feed their models with more precise parameters and data that might provide results closer to the actual behaviour of the studied prototypes. The methodological framework used in this research is descriptive, experimental, and quantitative.

Computational Method for Optimal Electrolyte Screening Using Bayesian Optimization and Physics Based Battery Model

Lithium-ion batteries (LIBs) powering electric vehicles and large-scale energy storage depend significantly on the composition of liquid electrolyte for optimal performance. We propose a framework coupling Bayesian optimization and physics based battery models to identify electrolytes optimal for specific set of requirements such as less capacity fade and internal heating etc. Our approach is validated through multiple case studies, demonstrating the framework’s efficacy in optimizing electrolyte properties. Additionally, we introduce a deviation index to quantify the proximity of the optimal electrolyte to those in a predefined database. With adaptability to various LIB metrics and battery chemistries, it provides a systematic and efficient approach for screening electrolytes based on system-level performance using physics-based models, contributing to advancements in battery technology for sustainable energy storage systems.

A review of the state of art and prospects in energy storage systems for energy harvesting applications

Due to the increasing trend in worldwide energy consumption, many new energy technology systems have emerged in the past decades. The implementation of energy storage system (ESS) technology in energy harvesting systems is significant to achieve flexibility and reliability in fulfilling the load demands. In this paper, several types of energy storage technologies available in the market are discussed to view their benefits and drawbacks. The main aim of this review is to provide a platform for readers especially those who seek to know more about ESS at a glance, to decide which ESS technology is best suited for any specific applications. This review would serve as a base for the initial state to make the right decision by referring to the criterias and characteristics of energy resources to get the optimal ESS technology. A comprehensive comparison among the various types of ESS technologies is outlined and elaborated to provide a better and clearer picture to the readers. Last but not least, the relevant recommendations and alternative choices for services related to the harvesting of solar PV energy are described too. It is hoped that the findings of this review article may be helpful to all readers interested in ESS technology.

Optimal technoeconomic reliability‐oriented design of islanded multicarrier microgrids with electrical and hydrogen energy storage systems considering emission concerns

AbstractAlthough several studies have been performed on energy systems, there is a gap in examining the impact of energy storage systems (ESSs) technologies on the technoeconomic design of optimal multicarrier microgrids (MCMGs), considering environmental concerns. This paper aims to address this research gap by developing an optimal technoeconomic reliability‐oriented design of MCMGs, specifically focusing on battery storage systems (BSSs) and hydrogen storage systems (HSSs). The study was applied to MCMG at an actual MCMG, using HOMER Pro software. Additionally, a reliability‐oriented sensitivity analysis is conducted to understand the effects of reliability constraints, such as desired maximum capacity shortage, on the performance of various ESS technologies. One of the main contributions is analyzing the HSS and BSS from different viewpoints, such as cost, emission, and other technical–economic features for MCMGs. The comparative test results show that if a highly reliable MCMG is desired, the BSS‐based MCMG is the more practical option in terms of technoeconomic indices. However, regardless of reliability constraints, the HSS‐based MCMGs offer better environmental conditions. The total net present cost of the HSS‐based MCMG is 1.68% higher than the BSS‐based one, while it has 17.99% less CO2 emissions, while the HSS one has 17.99% less CO2 emissions.

High-energy and durable aqueous Zn batteries enabled by multi-electron transfer reactions

Aqueous Zn batteries (AZBs) have emerged as a highly promising technology for large-scale energy storage systems due to their eco-friendly, safe, and cost-effective characteristics. The current requirements for high-energy AZBs attract extensive attention to reasonably designed cathode materials with multi-electron transfer mechanisms. This review systematically overviews the development and challenges of typical cathode hosts capable of multiple electron transfer reactions for high-performance Zn batteries. Moreover, we also summarize how to trigger the multi-electron transfer chemistry of cathodes, including transition metal oxides, halogens, and organics, to further boost the energy storage capability of AZBs. Finally, perspectives on critical issues and future directions of the multi-electron transfer battery systems offer novel insights for advanced Zn batteries.

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.

Applications of Tungsten Pseudo-Alloys in the Energy Sector

New energy generation methods are currently being discussed with a view towards the transition from traditional primary sources to more environmentally friendly options, particularly renewables. Energy storage is also closely related to this transition. Battery storage currently dominates this area. However, flywheel energy storage system technology offers an alternative that transforms stored kinetic energy into mechanical and electrical energy using a motor generator. The flywheel energy storage system technology is thus flexible and can be applied in different industrial applications. The management of the technology of recycling tungsten multi-metallic composites (W-MMC) waste material from other products and the subsequent trial production of high-strength W-MMC material with a density of more than 17,500 kg/m3 from recycled powders allowed us to test the limits of the so-called “heavy” flywheels used in rotor production. The results achieved lead to the conclusion that the developed recycled materials of the W-MMC type with a density ≥17,500 kg/m3, with a yield strength of 1200–1700 MPa depending on the production method, can be used as a substitute for the structural steels used today without an enforced reduction in the maximum allowed rotor speed due to exceeding the maximum allowed stress.

Oxygen vacancy chemistry in oxide cathodes.

Secondary batteries are a core technology for clean energy storage and conversion systems, to reduce environmental pollution and alleviate the energy crisis. Oxide cathodes play a vital role in revolutionizing battery technology due to their high capacity and voltage for oxide-based batteries. However, oxygen vacancies (OVs) are an essential type of defect that exist predominantly in both the bulk and surface regions of transition metal (TM) oxide batteries, and have a crucial impact on battery performance. This paper reviews previous studies from the past few decades that have investigated the intrinsic and anionic redox-mediated OVs in the field of secondary batteries. We focus on discussing the formation and evolution of these OVs from both thermodynamic and kinetic perspectives, as well as their impact on the thermodynamic and kinetic properties of oxide cathodes. Finally, we offer insights into the utilization of OVs to enhance the energy density and lifespan of batteries. We expect that this review will advance our understanding of the role of OVs and subsequently boost the development of high-performance electrode materials for next-generation energy storage devices.

Artificial intelligence-powered energy community management for developing renewable energy systems in smart homes

The increase in demand due to scientific innovation and economic expansion raises challenges linked to environmental impact and sustainable market development. This study analyzes the role played by Peer-to-Peer (P2P) energy trading in system operation. Several case studies with four distinct prosumer models, each fitted with diverse Energy Storage Systems (ESS), photovoltaic (PV) systems, and responsive demand technologies such as Electric Vehicles (EV), are examined. An economic analysis is conducted using the developed interface. An energy management system establishes a dynamic market framework, enabling energy trading via P2P market operators and distribution system operators. The implemented trading platform is chosen depending on pricing variations across different time intervals for home models. The P2P energy trading system employs mathematical modeling via deep learning to achieve an optimal solution that minimizes costs. The study uses other domestic models and optimization techniques to explore the amount of energy traded across households and timeframes. Additionally, it investigates the accomplishment of two-way energy transfer in electric cars, the importance of energy storage and photovoltaic systems, and various housing scenarios concerning peer-to-peer energy trading. Additionally, the system's advantages are demonstrated to participants beforehand by validating and presenting data through an input and output system that accepts these instances.

Recent advances of silicon-based solid-state lithium-ion batteries

Solid-state batteries (SSBs) have been widely considered as the most promising technology for next-generation energy storage systems. Among the anode candidates for SSBs, silicon (Si)-based materials have received extensive attention due to their advantages of low potential, high specific capacity and abundant resource. However, Si-based anodes undergo significant volume changes during repeated charging and discharging process, leading to irreversible degradation of electrode/electrolyte interface and rapid capacity fading of SSBs. Therefore, the development of Si-based SSBs is still limited to laboratory level. In this review, we systematically summarized the research advances of Si-based SSBs from the aspects of the design principle of electrodes structure, the selection of solid-state electrolytes and the corresponding interfacial optimization strategies, failure mechanisms of electrochemical performance and advanced interfacial characterization technologies. It is hoped that this review can provide help for the in-depth understanding of the fundamental scientific issues in Si-based SSBs, further promoting the practical applications of Si-based SSBs in the near future.

Performance analysis of vanadium redox flow battery with interdigitated flow channel

As a key technology of energy storage system, vanadium redox flow battery has been used in the past few years. It is very important to explore the thermal behavior and performance of batteries. This study establishes a three-dimensional model of a vanadium redox flow battery with an interdigitated flow channel design. By adjusting the key parameters of the battery, the temperature and voltage changes of the battery are discussed. The electrochemistry, fluid mechanics, and multi physics phenomenon are involved in the model. Operating temperature, electrolyte flow rate, and current density are investigated as the important parameters. The results show that the electrolyte charge, mass transport, and electrochemical activity change at elevated operating temperature, and the battery discharge voltage increases with increasing the operating temperature. During the charging and discharging processes, the internal temperature of the battery also increases with the increase of the operating temperature, and the temperature distribution of the positive and negative electrodes is uniform, showing that the operating temperature has a slightly less effect on the temperature difference between the positive and negative electrodes. When the electrolyte flow rate is increased, since increasing the flow rate helps to increase the Coulombic efficiency, the discharge voltage of the battery also increases. When the current density is increased, the battery discharge state time is shortened, causing the discharge time to end faster.

Navigating the Cost-Efficiency Frontier: Exploring the viability of Grid-Connected energy storage systems in meeting district load demand

In this investigation, we explored the cost-effectiveness and operational efficiency of grid-connected Energy Storage System (ESS) technologies—specifically, Proton Exchange Membrane-Reversible Fuel Cell (PEM-RFC) and Li-ion Battery (LIB)—with the goal of meeting load demand. Our conclusion reveals that integrating ESS isn't the optimal solution due to impractical implementation costs, making reliance solely on grid electricity a more pragmatic choice. Despite this, a secondary optimum value emerged, suggesting economic viability for ESS integration and introducing a dynamic trade-off between cost considerations and energy storage utilization. Furthermore, our study conducted a sensitivity analysis, anchored in the target costs set by the US Department of Energy, to identify conditions under which ESS systems could transition from impractical to feasible. The results outlined the potential to reduce the levelized cost of energy (LCOE) but also emphasized the prospect of increasing the storage factor by optimizing various system characteristics. Crucial factors like capital cost, efficiency, and lifetime were identified as pivotal in shaping the economic landscape of ESS integration. The study showcased tangible outcomes upon sensitivity analysis, including a 12% reduction in PEM-RFC LCOE and 58.5% reduction in LCOE for LIB, indicating improved cost efficiency and feasibility of ESS integration to the grid. To address a critical research gap, this study provides a novel comparison between PEM-RFC and LIB technologies as ESS, considering dynamic grid electricity prices. It sheds light on intricate dynamics that must be considered in ESS deployment decisions, emphasizing the delicate balance between cost-effectiveness and operational efficiency. Focused on the electricity load demand of commercial buildings in the Santa Barbara district, our techno-economic assessment contributes valuable insights for informed decision-making in ESS integration.

Development of Energy Storage Systems for High Penetration of Renewable Energy Grids

As the proportion of renewable energy generation systems increases, traditional power generation facilities begin to face challenges, such as reduced output power and having the power turned off. The challenges are causing changes in the structure of the power system. Renewable energy sources, mainly wind and solar energy cannot provide stable inertia and frequency regulation capability. Ultimately, the power system’s emergency response capability to face an N-1 is reduced, which leads to a reduction in system stability. Therefore, the application technology of the battery energy storage system is used to support the impact of changes in the new power system structure. This paper designed control technologies based on the WECC second-generation generic model, namely, dynamic regulation, steady regulation, and virtual inertia regulation. The models and control strategies are verified on Taiwan’s 2025 power system target conditions, which consider the expected capacities for battery energy storage systems, and renewable energy sources with different load and N-1 fault levels. According to the simulation results, the capabilities of the RoCoF limitation, frequency nadir, frequency recovery, and system oscillation regulation are evaluated in the proposed strategies. Finally, the analysis results can help power operators make informed decisions when selecting and deploying battery energy storage systems.