Energy Storage System Research Articles

Battery Sentiment Analysis and Recommention System

- The increasing reliance on battery technology across industries such as renewable energy, electric vehicles, and portable electronics underscores the importance of robust analysis and optimization of battery systems. Battery-centric analysis focuses on understanding key parameters such as temperature, current, voltage, state of charge (SOC), and state of health (SOH) to enhance performance, safety, and longevity. These parameters are critical in identifying potential failures, improving efficiency, and predicting battery life cycles. This study employs advanced methodologies, including machine learning algorithms such as Support Vector Machines (SVM), Decision Trees (DT), Random Forests (RF), Gradient Boosting, Neural Networks (NN), and Deep Neural Networks (DNN), to analyse battery performance data. By training and testing these models on extensive datasets, the research provides accurate predictions of battery behavior under diverse operating conditions. Key metrics, including accuracy, root mean square error (RMSE), and mean absolute error (MAE), are used to evaluate the effectiveness of these algorithms, ensuring reliable insights into battery health and operation. The integration of real-time monitoring systems with predictive analytics enhances the safety and efficiency of batteries, reducing risks such as overheating, overcharging, and premature failure. Additionally, this approach supports the development of sustainable energy solutions by identifying areas for material optimization and improving the design of energy storage systems. Key Words: Support Vector Machines (SVM), Decision Trees (DT), Random Forests (RF), Gradient Boosting, Neural Networks (NN), and Deep Neural Networks (DNN).

Maximizing Wind Turbine Power Generation Through Adaptive Fuzzy Logic Control for Optimal Efficiency and Performance

Wind power output fluctuations, driven by variable wind speeds, create significant challenges for grid stability and the efficient use of wind turbines, particularly in high-wind-penetration areas. This study proposes a combined approach utilizing an ultra-capacitor energy storage system and fuzzy-control-based pitch angle adjustment to address these challenges. The fuzzy control system dynamically responds to wind speed variations, optimizing energy capture while minimizing mechanical stress on turbine components, and the ultra-capacitor provides instantaneous buffering of power surpluses and deficits. Simulations conducted on a 50 kW DFIG wind turbine powering a 23 kW load demonstrated a substantial reduction in power fluctuations by a factor of 3.747, decreasing the power fluctuation reduction scale from 13.04% to 3.48%. These results highlight the effectiveness of the proposed system in improving the stability, reliability, and quality of wind energy, thereby advancing the broader adoption of renewable energy and contributing to sustainable energy solutions.

In-depth experimental and numerical investigations of a rock-bed thermal energy storage system: Insights from mafic versus felsic igneous rocks

In-depth experimental and numerical investigations of a rock-bed thermal energy storage system: Insights from mafic versus felsic igneous rocks

Impact of tube shapes on the energy storage and thermal-hydraulic performances of finned latent heat energy storage systems

Impact of tube shapes on the energy storage and thermal-hydraulic performances of finned latent heat energy storage systems

Construction and thermodynamic optimization of a transcritical pumped thermal energy storage system using ice slurry for cold storage

Construction and thermodynamic optimization of a transcritical pumped thermal energy storage system using ice slurry for cold storage

Innovative optimization of hybrid energy storage systems for electric vehicles: Integrating FBPINN-SAO to enhance performance and efficiency

Innovative optimization of hybrid energy storage systems for electric vehicles: Integrating FBPINN-SAO to enhance performance and efficiency

Distributed parallel optimal operation for shared energy storage system - multiple park integrated energy system based on ADMM

Distributed parallel optimal operation for shared energy storage system - multiple park integrated energy system based on ADMM

Thermodynamic analysis of a novel multi-layer packed bed cold energy storage with low exergy loss for liquid air energy storage system

Thermodynamic analysis of a novel multi-layer packed bed cold energy storage with low exergy loss for liquid air energy storage system

Review on Solar Tower Technology

Abstract: Solar tower technology, a type of concentrated solar power (CSP) system, represents a sustainable and efficient solution for renewable energy generation. It employs a central receiver tower surrounded by an array of heliostats (mirrors) that track and reflect sunlight to a focal point on the tower. This concentrated sunlight generates heat, which is used to produce steam that drives a turbine to generate electricity. Solar tower technology offers significant advantages, such as high thermal efficiency, scalability, and the ability to store thermal energy for power generation even during non-sunny periods. Recent advancements in materials, heat transfer fluids, and energy storage systems have further enhanced its performance and economic viability. This technology holds promise for reducing greenhouse gas emissions and transitioning to a clean energy future.

Engineering of Lignocellulose Pulp Binder for Ah‐Scale Lithium–Sulfur Batteries

AbstractNatural binders play attractive roles in stabilizing lithium–sulfur (Li–S) battery systems due to their polymeric skeleton and abundant functional structures, but the complex extraction and modification hinder the practical use. Here, lignocellulose, the unbleached product of the pulp industry, is directly developed as a robust binder in Li–S batteries. Benefiting from various oxygen‐containing functional groups woven strong hydrogen‐bonded network framework, robust mechanical stability, lithium polysulfide anchoring capacity, and high‐speed Li+ transport channel. The Li–S cell battery delivers an initial discharge capacity of 996 mAh·g⁻¹ at a current density of 0.5 C and can stably run 500 cycles. Moreover, an Ah‐scale pouch cell is constructed and delivers notable gravimetric and volumetric energy densities of 322 Wh·kg⁻¹ and 432 Wh·L⁻1, respectively. This work expands the application boundaries of bulk lignocellulose pulp in advanced energy storage systems.

Chemically Patterning Lithiophilic Interphase to Harmonize Spatial Electrons and Thermal Catalysis Dynamics for Safe Lithium Metal Batteries.

Lithium metal batteries have garnered significant attention as promising energy storage solutions. However, their performance is often compromised by the risks associated with highly active metallic lithium, unrestricted electrode expansion, and excessive dendrites growth. Here we introduce an advanced lithiophilic anode substrate designed by chemically patterning technology for multiple security enhancements. The innovative lithiophilic array harmonizes spatial Li+ to prepare compact and reversible electrodes. The composite electrodes feature an enhanced C-F component in the solid-electrolyte interface, which protects the deposited lithium metal from unwanted side reactions, thereby stabilizing electrochemical cycling. Notably, the thermal safety can be revealed through the substrate's excellent catalytic ability to convert smoke and toxic gases during extreme thermal runaway. This work demonstrates a novel approach to integrating battery cycling stability with thermal safety, paving the way for more reliable and secure energy storage systems.

Strategic modelling for sustainable power grids: a comprehensive study on energy storage integration in India

Purpose This study aims to address the critical need for innovation in the power grid sector, driven by global carbon reduction commitments. It highlights the pivotal role of critical success factors (CSFs) in enhancing system adaptability and environmental mitigation within India’s power industry. Design/methodology/approach This research is grounded on transition management theory to identify and validate the CSFs necessary to integrate energy storage systems (ESS). Here, exploratory factor analysis (EFA) and total interpretive structural modeling (TISM) are integrated to evaluate the model’s effectiveness in reducing CO2 emissions while ensuring grid stability and flexibility. Findings The research develops a seven-level hierarchical model illustrating the interaction of ESS components for a stable power grid, clean energy and a profitable electric industry. It emphasizes the strategic significance of managing key factors to reduce CO2 emissions and ensure grid stability. The study recommends continuous monitoring at tactical and operational levels to enhance overall performance. Research limitations/implications The study provides policymakers with strategic insights for the successful implementation of smart grid initiatives, facilitating effective decarbonization of the electricity industry. Additionally, it offers a comprehensive framework for minimizing the environmental impact associated with electricity generation, thereby enhancing overall operational sustainability and efficiency. Originality/value The originality of this study lies in its integration of EFA and TISM for robust model assessment and the application of transition management theory to identify and validate CSFs in the integration of ESS. This approach offers a novel perspective on enhancing the sustainability and efficiency of power grids.

Advances in ground heat exchangers and thermal energy storage for sustainable energy systems

ABSTRACT The significance of energy storage is increasing because of the energy demand fulfilled by the intermittency of renewable energy. This review comprehensively studies the development and applications of cement-based grout, vertical ground heat exchangers (GHE), and horizontal GHE in relation to ground source heat pump (GSHP) and thermal energy storage (TES) systems. It explores various TES systems, including sensible heat storage (SHS), latent heat storage (LHS), and thermochemical heat storage (TCHS), while highlighting the role of GHEs as critical components of GSHP systems while highlighting the role of GHEs as critical components of GSHP systems. The review article compares the profits and encounters of vertical and horizontal GHE installations. The impact of backfill material such as cement-based grout in GHEs performance are also reviewed. The integration of renewable energy systems with thermal energy storage and ground heat exchangers is thoroughly reviewed. Advancements in materials, system designs, and hybrid configurations are essential for fostering the widespread adoption of sustainable and green energy solutions.

Process Systems Engineering for Climate-Resilient Infrastructure: A Framework for Vulnerability Assessment and Optimization

This study explores the application of Process Systems Engineering (PSE) methodologies to enhance the climate resilience of infrastructure systems. As climate change increasingly challenges infrastructure, traditional designs often fail to address evolving long-term risks, leading to system vulnerabilities. PSE techniques, including vulnerability assessments, optimization models, sensitivity analysis, and scenario planning, offer a structured approach to identify weaknesses, assess adaptation strategies, and inform decision-making for climate-resilient infrastructure. Through a synthesis of existing research and case studies from energy, transportation, and water sectors, this study highlights the effectiveness of PSE methods in quantifying infrastructure vulnerabilities under various climate projections. Key findings show that investing in adaptive measures, such as upgrading energy storage systems and flood prevention infrastructure, provides long-term cost savings and resilience improvements. Despite challenges like data gaps and high uncertainty, the study demonstrates that PSE frameworks can significantly improve infrastructure design and planning, helping decision-makers develop strategies that are both cost-effective and adaptive to climate change.

Enhancement of Thermal Conductivity of Paraffin PCM with Metal Foams

Paraffin PCMs (Phase Change Materials) are widely used for thermal energy storage due to their homogeneity and stability. However, one of their main drawbacks lies in their poor thermal conductivity, usually around 0.2 W·m−1·K−1. In the context of the Horizon Europe project “ECHO” (Efficient Compact Modular Thermal Energy Storage System), the integration of metal foams within paraffin PCM was investigated in order to increase the overall thermal conductivity, thus speeding up the melting and solidification phases. Tests were carried out in a thermostatic bath using at first pure aluminum foam. Then, considering the consistent price these materials usually have, other commercial and much cheaper foams were also tested, namely a stainless-steel foam and a brass one. As expected, pure aluminum had the best performance among the three foams. However, the behavior of the brass foam was quite close to that of pure aluminum, which means that interesting improvements can be achieved even with low-cost materials. As regards the stainless-steel foam, barely any improvement is observed.

Niobium in electrochemical technologies: advancing sensing and battery applications

Abstract Niobium, a versatile transition metal, plays a vital role in expanding electrochemical technologies due to its unique combination of physical and chemical properties, such as high stability, conductivity, and compatibility with varied materials. This review delves deeply into the applications of niobium in electrochemical sensing and energy storage systems, focusing on its transformational potential. It begins by explaining the fundamental features of niobium that make it an excellent material for these applications. The principles of electrochemical sensors are elaborated, with a focus on their significance in areas such as healthcare diagnostics, environmental monitoring, and industrial processes. The review highlights the fabrication techniques for niobium-based sensors, detailing advancements in sensitivity and specificity achieved through niobium compounds. In the domain of energy storage, the review examines niobium’s integration into lithium-ion, sodium-ion, and lithium-sulfur batteries. It discusses how niobium compounds enhance battery performance, including improvements in energy density, cycling stability, and charge-discharge efficiency. Comparative analyses with conventional materials are presented to underscore the superior functionality of niobium-based systems. By synthesizing current research, the review identifies critical knowledge gaps and potential areas for future investigation, ultimately underscoring niobium’s pivotal role in driving innovation in electrochemical technologies.

Temperature dependent dielectric performance of battery wrapping film for high voltage energy storage

Abstract The direct connection of Li-ion battery energy storage system to high voltage (HV) power grid through electronic equipment becomes promising. The overvoltage and high-frequency interference of the electronic circuit may result in the thermal runaway of battery cells and insulation failure of battery wrapping film. The key dielectric properties of the wrapping film for energy storage battery are investigated under DC to high frequency and room temperature to elevated temperature. The results indicate that high-frequency electric field and high temperature are both adverse to the insulation performance of the wrapping film. Under concurrent high-temperature and high-electric-field conditions, the breakdown strength can decrease by more than 70% compared to that under regular condition. The analysis of broadband dielectric response suggests that the interfacial defects inside the wrapping film may play an important role in the degradation of dielectric performance. This research provides theoretical basis for the insulation failure and improvement of the battery wrapping film used in high voltage energy storage system.

A Review of Pnictogenides for Next-Generation Anode Materials for Sodium-Ion Batteries

With the growing market of secondary batteries for electric vehicles (EVs) and grid-scale energy storage systems (ESS), driven by environmental challenges, the commercialization of sodium-ion batteries (SIBs) has emerged to address the high price of lithium resources used in lithium-ion batteries (LIBs). However, achieving competitive energy densities of SIBs to LIBs remains challenging due to the absence of high-capacity anodes in SIBs such as the group-14 elements, Si or Ge, which are highly abundant in LIBs. This review presents potential candidates in metal pnictogenides as promising anode materials for SIBs to overcome the energy density bottleneck. The sodium-ion storage mechanisms and electrochemical performance across various compositions and intrinsic physical and chemical properties of pnictogenide have been summarized. By correlating these properties, strategic frameworks for designing advanced anode materials for next-generation SIBs were suggested. The trade-off relation in pnictogenides between the high specific capacities and the failure mechanism due to large volume expansion has been considered in this paper to address the current issues. This review covers several emerging strategies focused on improving both high reversible capacity and cycle stability.

N-Doped Holey Graphene/Porous Carbon/Cellulose Nanofibers Electrode and Hydrogel Electrolyte for Low-temperature Zinc-ion Hybrid Supercapacitors.

The susceptibility to freezing of the electrolyte and mismatched cathode make the aqueous zinc-ion hybrid supercapacitors (ZHSCs) have inferior electrochemical performance at low temperature. Herein, a novel freeze-tolerant hydrogel electrolyte (CEEZ) and matched graphene/porous carbon/cellulose nanofibers cathode (GPCN) are respectively fabricated via chemical cross-linking and a two-step process to assemble ZHSCs. The prepared electrode has a highly porous structure, abundant edge active sites, and increased interlayer spacing, which collectively reduces ion transport complexity and enhances the contact area with the electrolyte, promoting rapid ionic conduction pathways. For the CEEZ, the use of ethylene glycol reduces the saturated vapor pressure of water, thereby enhancing the frost resistance of the hydrogel electrolyte. Consequently, the ZHSCs assembled from GPCN, CEEZ, and Zn anode exhibit excellent specific capacitances of 1.11Fcm⁻2 (21.35 F cm⁻3) at 20°C and 0.74 F cm⁻2 (14.23 F cm⁻3) at -20°C. These results demonstrate the promising application potential of these ZHSCs in cold environments while maintaining impressive energy storage capabilities. This work provides valuable insights and a robust strategy for the design of high-performance low-temperature ZHSCs, enhancing their practical applicability in renewable energy storage systems.

Optimization of Low-Carbon Operation in a Combined Electrical, Thermal, and Cooling Integrated Energy System with Liquid Carbon Dioxide Energy Storage and Green Certificate and Carbon Trading Mechanisms

The liquid carbon dioxide energy storage system (LCES), as a highly flexible, long-lasting, and environmentally friendly energy storage technology, shows great potential for application in integrated energy systems. However, research on the combined cooling, heating, and power supply using LCES in integrated energy systems is still limited. In this paper, an optimized scheduling scheme for a low-carbon economic integrated energy system is proposed, coupling LCES with power-to-gas (P2G) technology and the green certificate/carbon trading mechanism. Mathematical models and constraints for each system component are developed, and an optimization scheduling model is constructed, focusing on the economic and low-carbon operation of the integrated energy microgrid system. The objective function aims to minimize total system costs. A case study based on a northern China park is conducted, with seven scenarios set for comparative optimization analysis. The results demonstrate that the use of the combined cooling, heating, and power LCES system reduces total costs by USD 2,706.85 and carbon emissions by 34.57% compared to the single-energy flow operation. These findings validate the effectiveness of the proposed model in optimizing system costs and reducing carbon emissions.