Energy Storage最新文献

{"title":"Machine Learning for Hydrogen Storage in Boron-Based Materials: Key Descriptors and Data Constraints","authors":"Elif Can Özcan,&nbsp;Ayah Stif","doi":"10.1002/est2.70538","DOIUrl":"https://doi.org/10.1002/est2.70538","url":null,"abstract":"<div>\u0000 \u0000 <p>The transition to a sustainable energy economy critically depends on the development of safe, efficient, and cost-effective hydrogen storage solutions. Boron-based materials are promising solid-state hydrogen storage candidates with high gravimetric capacity, but their use remains limited by kinetic and thermodynamic challenges. This study employs a data-driven approach with machine learning (ML) to systematically analyze the structure–property–performance relationships in these systems. A curated dataset comprising 1073 experimental entries from 20 articles (2000–2023) was analyzed using regularized linear regression (Ridge, Lasso, and Elastic Net), random forest (RF), and gradient boosting (GB) algorithms, using an article-wise cross-validation scheme that kept all data from the same publication within a single fold, preventing information leakage. The linear models were unable to describe the adsorption behavior adequately, and expanding the descriptor set did not improve them, indicating an intrinsic limitation of the linear formulation. The nonlinear ensembles performed clearly better, indicating that the underlying relationships are nonlinear, though their overall accuracy was still modest. Despite its greater complexity, GB did not outperform RF, which is likely related to the outlier-prone and uneven distribution of the data. SHAP analysis showed that both ensembles identified the same leading descriptors, namely the preparation method and adsorption pressure, followed by temperature, surface area, and boron and carbon content. The direction of their effects agreed with known adsorption behavior. In addition, the incomplete reporting of key structural descriptors such as surface area and pore volume limited the predictive capacity of all models. Still, the results provide a reproducible framework for predictive modeling of hydrogen storage and identify the material features that most strongly affect storage capacity.</p>\u0000 </div>","PeriodicalId":11765,"journal":{"name":"Energy Storage","volume":"8 7","pages":""},"PeriodicalIF":4.0,"publicationDate":"2026-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149146843","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Dry Upcycling of Spent Zn-C Primary Battery Black Mass Into ZnMn2O4 Electrodes for Supercapacitors","authors":"Purnima Rawat,&nbsp;Muthulakshmi Navadharsana Kannan Raja,&nbsp;Shivamurthy Bogalera Papaiah,&nbsp;Santhosh Girish,&nbsp;Nayaka Girish Praveen","doi":"10.1002/est2.70523","DOIUrl":"https://doi.org/10.1002/est2.70523","url":null,"abstract":"<div>\u0000 \u0000 <p>Spent Zn-C primary batteries represent an abundant secondary resource of Zn- and Mn-containing black mass, yet most recycling approaches rely on multistep hydrometallurgical or high-temperature pyrometallurgical processing. This study presents a sustainable and entirely dry upcycling route that converts spent black mass from Zn-C primary batteries into high-performance spinel-type ZnMn₂O₄ (ZMO), thereby facilitating the closed-loop reuse of battery metals. The black mass is calcined at 600°C for 2 h without chemical leaching or solvents, yielding phase-pure ZMO. A detailed characterization using XRD, XPS, EDS, Raman, and BET techniques confirms the successful synthesis of spinel-structured nanoporous ZnMn₂O₄. When assessed as a supercapacitor electrode, the material exhibits a specific capacitance of 344 Fg⁻¹ at 0.1 Ag⁻¹, highlighting its excellent redox activity and stability. The enhanced performance is attributed to the formation of a more ordered spinel framework, reduced electrolyte-derived impurities, and improved charge-transfer kinetics rather than a higher BET surface area. These results establish a solvent-free and potentially scalable waste-to-resource strategy for converting spent primary-battery black mass into functional supercapacitor electrodes.</p>\u0000 </div>","PeriodicalId":11765,"journal":{"name":"Energy Storage","volume":"8 7","pages":""},"PeriodicalIF":4.0,"publicationDate":"2026-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149146845","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Effect of Aerodynamically Induced Passive Airflow Cooling on Various Configurations of Lithium-Ion Battery Pack for Electric Vehicles: A Numerical Case Study","authors":"Md. Badhon Babu,&nbsp;Konok Chandra Bhowmik,&nbsp;Md. Arafat Rahman,&nbsp;Shaswato Barua","doi":"10.1002/est2.70534","DOIUrl":"https://doi.org/10.1002/est2.70534","url":null,"abstract":"<div>\u0000 \u0000 <p>Lithium-ion batteries (LIBs) are widely used in electric vehicles due to their high energy density, strong electrochemical performance, and long cycle life. However, their safety and efficiency are highly affected by heat generation during charge–discharge operations. This study investigates a passive airflow-based cooling strategy driven by aerodynamic-induced airflow over front-mounted battery cells. Initially, two configurations, such as in-line cell arrangement (ILCA) model and staggered cell arrangement (SCA) model. Later, a modified battery cell arrangement, assigned a simplified designation to improve clarity and consistency in the comparative analysis, is analyzed to evaluate thermal performance under varying inlet airflow velocities. Simulations were conducted for airflow velocities ranging from 0 to 20 m s⁻¹. Under natural convection (0 m s⁻¹), the maximum battery temperature reached 352.52 K (79.52°C). Introducing airflow at 10 m s⁻¹ reduced the temperature to 303.52 K (30.52°C), achieving a significant 49°C reduction. Results indicate that increasing airflow velocity progressively enhances heat dissipation. The maximum temperature difference within the battery pack remains within ⁓5°C, ensuring uniform and safe operation. All configurations demonstrate effective thermal management. Among the investigated configurations, the ILCA provided comparable thermal performance while accommodating more cells within the same battery pack volume.</p>\u0000 </div>","PeriodicalId":11765,"journal":{"name":"Energy Storage","volume":"8 7","pages":""},"PeriodicalIF":4.0,"publicationDate":"2026-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149146869","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Magnetic Field-Induced Electrochemical Energy Storage and Oxygen Evolution Reaction of SrCO3 Nanoflakes","authors":"Supriya R. Late,&nbsp;Meenakshi G. Naik,&nbsp;Sangeeta K. Bambalawade,&nbsp;Manjula S. Patil,&nbsp;S. K. Rajappa,&nbsp;H. H. Bendigeri,&nbsp;Nagappa Teradale,&nbsp;R. Ramanna,&nbsp;Sathisha M. Patil,&nbsp;Shidaling Matteppanavar","doi":"10.1002/est2.70518","DOIUrl":"https://doi.org/10.1002/est2.70518","url":null,"abstract":"<div>\u0000 \u0000 <p>The development of sustainable multifunctional electrode materials with tunable electrochemical properties is important for advanced energy-storage and energy-conversion applications. In this work, mesoporous SrCO₃ nanoflakes were synthesized through a sustainable <i>Nerium oleander</i> leaf extract-assisted green route and systematically investigated for supercapacitor and OER applications, including their response to an external magnetic field. XRD confirmed the formation of a highly crystalline <i>orthorhombic</i> SrCO₃ phase with a <i>Pnma</i> space group. SEM revealed flake-like agglomerated nanostructures with an average particle size of ~550 nm. FTIR and UV–Vis spectroscopy supported the formation of the structure, while XPS confirmed the oxidation states of Sr, C, and O. BET analysis indicated a mesoporous structure that provides accessible electrochemically active sites and facilitates electrolyte ion diffusion. Electrochemical measurements in 1 M KOH using a three-electrode system demonstrated a high specific capacitance of 1394.25 F g⁻¹ at 10 mV s⁻¹ with 75% capacitance retention after 10 000 cycles. The catalyst also exhibited efficient OER activity, with an overpotential of 237 mV at 10 mA cm⁻² and a Tafel slope of 70.9 mV dec⁻¹. Application of a 50 mT magnetic field resulted in a decrease in both charge-storage and OER performance, accompanied by changes in charge-transfer and ion-transport characteristics, demonstrating the system-dependent influence of magnetic fields on diffusion-controlled electrochemical processes. The novelty of this work lies in the integration of a sustainable plant-extract-assisted synthesis of mesoporous SrCO₃ nanoflakes with a systematic investigation of their magnetic-field-dependent supercapacitor and OER behavior, providing insights into the relationship between mesoporous architecture, ion transport, interfacial kinetics, and magnetic-field-induced electrochemical response.</p>\u0000 </div>","PeriodicalId":11765,"journal":{"name":"Energy Storage","volume":"8 7","pages":""},"PeriodicalIF":4.0,"publicationDate":"2026-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149048445","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Screening of Ceramic Filler Materials for a Packed-Bed Thermal Energy Storage System With Lead as Heat Transfer Fluid","authors":"Annette Heinzel,&nbsp;Anisa Purwitasari,&nbsp;Renate Fetzer,&nbsp;Alfons Weisenburger,&nbsp;Klarissa Niedermeier","doi":"10.1002/est2.70531","DOIUrl":"https://doi.org/10.1002/est2.70531","url":null,"abstract":"<p>Liquid lead (Pb) is an attractive heat transfer fluid (HTF) for packed-bed thermal energy storage (TES) systems aimed for high temperatures. However, liquid Pb is corrosive and its corrosivity increases with rising temperature. Therefore, compatibility tests of possible filler materials with Pb are mandatory. This study tested the corrosion and thermal alteration of seven ceramic materials (two alumina materials, one alumina zirconia composite material, two zirconia ceramics stabilized with either yttria or ceria, and two zirconium silicates in different compositions) in liquid Pb at 650°C and 750°C in a reducing environment for up to 5000 h. The results showed that the tested zirconium silicates are not suitable due to the high glass content and the ceria stabilized ZrO₂ revealed a poor thermal shock resistance. In contrast, the yttria stabilized ZrO₂ and the alumina zirconia composite showed a very good compatibility with a negligible reaction with Pb.</p>","PeriodicalId":11765,"journal":{"name":"Energy Storage","volume":"8 7","pages":""},"PeriodicalIF":4.0,"publicationDate":"2026-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/est2.70531","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149048105","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"State-of-Charge Estimation of Second-Life Batteries Using the Federated Learning","authors":"Joelton Deonei Gotz,&nbsp;José Rodolfo Galvão,&nbsp;Fernanda Cristina Corrêa,&nbsp;Milton Borsato,&nbsp;Alceu de Souza Britto Junior,&nbsp;Emilson Ribeiro Viana,&nbsp;Nathan Mendes,&nbsp;Alceu André Badin","doi":"10.1002/est2.70532","DOIUrl":"https://doi.org/10.1002/est2.70532","url":null,"abstract":"<p>The advancement in automobile electrification has been causing concern about retired batteries. Since the battery cannot store and deliver energy for a high-speed vehicle when its state of health (SOH) is below 80%, this battery must have another destination. A second application for energy storage from solar or wind farms can be a solution. However, a pack of second-life batteries (SLB) is built in some cases from batteries from different first applications, which introduces the problem of the pack's heterogeneity—this makes applying a standard Battery Management System (BMS) difficult. As a solution, data-driven and Machine Learning (ML) models have been used to help BMS for SLB, learning from the data. However, these models are specific to a single package. Therefore, this work applies Federated Machine Learning (FML) to build a global State-of-Charge (SOC) for SLB. The main intention is to develop a global model based on several learnings. This way, the proposed idea comprises three steps using 32 different SLBs with a capacity ranging from 1300 to 2500 mAh, which introduces a significant difficulty to the process. In the first step, a single BMS comprises a Raspberry Pi 3, and some sensors monitor the voltage, current, and surface temperature of a single SLB. The data are used to build a Long Short-Term Memory network to predict the SOC. The process was done on 20 different SLB batteries. The results indicated an <i>R</i>² above 99 and an RMSE below 3%. After that, each BMS sends the weight of each model to the server. In the second step, the server receives the weights and builds a global model using the ensemble learning approach. The model inserted an exclusion rule to avoid outliers in the decisions. The global model is tested with four different SLBs. The validation process shows an <i>R</i>² of 94 and an RMSE of 5%. The global model has been downloaded to eight SLB batteries with BMS for testing. As the model has never seen the data of the eight batteries, the <i>R</i>² was 96, and the RMSE was below 5.6% on average. The obtained results indicate that the proposed method is capable of achieving reliable SOC estimation under heterogeneous SLB operating conditions. This way, future investigations will involve inserting this idea into a pack of more than one battery.</p>","PeriodicalId":11765,"journal":{"name":"Energy Storage","volume":"8 7","pages":""},"PeriodicalIF":4.0,"publicationDate":"2026-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/est2.70532","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149048106","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A Simulation of Non-Ventilated Trombe Wall Performance With Graphite-Enhanced Phase Change Material","authors":"Maryam Pakfetrat,&nbsp;Negin Maftouni","doi":"10.1002/est2.70520","DOIUrl":"https://doi.org/10.1002/est2.70520","url":null,"abstract":"<div>\u0000 \u0000 <p>This research evaluates the performance of a non-ventilated Trombe wall in three contrasting climates in Iran including Lavasan (cold-mountainous), Yazd (hot-dry), and Tabriz (cold-semi-dry). Simulations were conducted using DesignBuilder/EnergyPlus. The sample building was a residential space, and the studied non-ventilated Trombe wall consists of double-glazed low-emissivity glass, an air cavity, a dark concrete wall, and side polyurethane insulation. To enhance heat storage, graphite-enhanced phase change materials (PCM) was used. The baseline energy model was validated using monthly utility bills, achieving ASHRAE-compliant accuracy (CV(RMSE) &lt; 5%). The evaluation indices included thermal loads, total annual energy, and CO₂ emissions. The non-ventilated Trombe wall mainly reduced heating demand, while its impact on cooling loads was limited. Total energy savings were recorded as 13.3% in Lavasan, 9.6% in Yazd, and 8.1% in Tabriz. The integration of PCM, however, significantly improved these savings, increasing them to 20% in Lavasan, 18.2% in Yazd, and 13.8% in Tabriz, respectively. For the PCM integrated Trombe wall, the reduction in annual CO₂ emissions was 11.4% in Lavasan, 10.6% in Yazd, and 2.7% in Tabriz. -An analysis of sensitivity regarding the thickness and placement of PCM, along with an assessment of the PCM liquid fraction, suggests that the performance of the system is determined by the degree and duration of phase change activation. Furthermore, the placement of PCM within the wall assembly is equally as significant as the thickness of the PCM. In summary, this study demonstrates that integrating graphite-enhanced PCM with a non-ventilated Trombe wall enhances thermal stability and energy efficiency across all climates, providing the most significant benefits in cold-mountainous climates followed by hot-dry climates.</p>\u0000 </div>","PeriodicalId":11765,"journal":{"name":"Energy Storage","volume":"8 7","pages":""},"PeriodicalIF":4.0,"publicationDate":"2026-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149048096","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Lithium-Ion Battery Storage: A Cross-Scale Review From the Energy Storage Ecosystem to Application-Specific Management","authors":"Ruifeng Shi,&nbsp;Xiang Liu,&nbsp;Lingzhi Zhang,&nbsp;Huaihai Yi,&nbsp;Yuanxing Zhang,&nbsp;Jing Teng","doi":"10.1002/est2.70529","DOIUrl":"https://doi.org/10.1002/est2.70529","url":null,"abstract":"<div>\u0000 \u0000 <p>Energy storage underpins the decarbonization of power systems, and lithium-ion batteries (LIBs) have become the dominant platform for modular, fast-response deployment in both stationary and mobile applications. However, LIB research is frequently examined in isolation from the wider storage landscape, leaving its technological positioning, applicability boundaries, and systemic role insufficiently clarified. This study establishes the linkage from field-wide storage functions through application-specific duty cycles to degradation pathways and battery management priorities, thereby translating bibliometric structures into deployment-oriented guidance. Two logically nested corpora were retrieved from the Web of Science Core Collection for 2021–2025, comprising 30 141 records for the field-wide layer and 8902 for the focused layer, and document co-citation networks were constructed in CiteSpace. The field-wide map resolves into a three-dimensional structure spanning technical characteristics, operational optimization and intelligent management, and application scenarios and business models. The focused map differentiates into stationary storage and electric vehicle branches, compared in duty cycles, degradation drivers, battery management priorities, and end-of-life roles. The synthesis explicitly maps stationary duty cycles to corresponding degradation pathways and emphasizes path-dependent prognostics under dynamic operating sequences, addressing the gap between laboratory testing and field deployment. The review synthesizes progress in advanced battery management, system integration, and circular life cycle strategies, with each technical direction mapped to its underlying economic mechanism across four analytical layers. Three research priorities are identified: evidence from real operation across the full life cycle, state perception coupling multiple physical domains, and intelligent coordination of diverse storage technologies.</p>\u0000 </div>","PeriodicalId":11765,"journal":{"name":"Energy Storage","volume":"8 7","pages":""},"PeriodicalIF":4.0,"publicationDate":"2026-09-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149048035","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Integrated Waste Carbon Dioxide Recovery and Transcritical Energy Storage Using Liquefied Natural Gas Cold Energy","authors":"Chengliang Zhang,&nbsp;Xiaohua Wang","doi":"10.1002/est2.70526","DOIUrl":"https://doi.org/10.1002/est2.70526","url":null,"abstract":"<div>\u0000 \u0000 <p>Liquefied natural gas (LNG) regasification releases high-grade cold exergy that can reduce the refrigeration demand of CO₂ liquefaction, while industrial waste heat can support transcritical CO₂ energy storage. However, the effects of heat-recuperation architecture and time-of-use dispatch on thermodynamic performance, CO₂ recovery, and profitability remain insufficiently understood. This study develops a recuperative integrated carbon capture and energy storage system (RICCES) and a non-recuperative counterpart (NICCES). Each configuration is evaluated under two idealized dispatch scenarios constructed from independent steady-state operating points: single-peak discharge (Mode 1) and flat-peak combined discharge (Mode 2). A cold-exergy allocation coefficient and a cold-exergy-normalized CO₂ liquefaction mass ratio are introduced to distinguish cold-resource allocation from liquefaction productivity. At the baseline design point, RICCES–Mode 2 achieves a system-level thermal efficiency of 63.47% and an exergy efficiency of 76.59%. Parametric analysis increases the system-level thermal efficiency to a maximum of 65.85% at 400°C and 17 MPa. The maximum exergy efficiency reaches 78.45% at 400°C and 12 MPa. Recuperation reduces system irreversibility, whereas NICCES produces approximately 38% more liquid CO₂ and reaches a peak cold-exergy-normalized liquefaction mass ratio of 2.022, compared with 1.469 for RICCES. NICCES–Mode 1 provides the strongest overall economic performance, with a levelized cost of electricity of 0.111 USD/kWh, a CO₂ avoided cost of 15.29 USD/t, a payback period of 4.80 years, an annual total profit of 51.50 million USD, and a net present value of 828.98 million USD. NICCES–Mode 1 remains the most profitable configuration in all nine market scenarios, and its net present value remains positive at 623.25–1034.71 million USD under ±30% parameter variations. These results reveal a clear design trade-off between thermodynamic efficiency and commercial performance under the idealized steady-state dispatch scenarios considered. The reported results apply to an idealized or pretreated CO₂-rich wet stream containing only CO₂ and H₂O, rather than untreated industrial flue gas.</p>\u0000 </div>","PeriodicalId":11765,"journal":{"name":"Energy Storage","volume":"8 7","pages":""},"PeriodicalIF":4.0,"publicationDate":"2026-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149047821","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Correction to “Electrochemical Performance of Al/Nb2O5//GO/Cu Asymmetric Hybrid Supercapacitors With Aqueous Potassium Hydroxide Electrolytes at Varying Concentrations”","authors":"","doi":"10.1002/est2.70525","DOIUrl":"https://doi.org/10.1002/est2.70525","url":null,"abstract":"<p>\u0000 <span>D. E. Yıldız</span>, <span>O. Akyildiz</span>, and <span>C. Bağcı</span>, “ <span>Electrochemical Performance of Al/Nb₂O₅//GO/Cu Asymmetric Hybrid Supercapacitors With Aqueous Potassium Hydroxide Electrolytes at Varying Concentrations</span>,” <i>Energy Storage</i> <span>8</span>, no. <span>1</span> (<span>2026</span>): e70353, https://doi.org/10.1002/est2.70353.\u0000 </p><p>The second affiliation of author Dilber Esra Yıldız has been removed. As a result, the subsequent affiliations have been renumbered.</p><p>The online version of this article has been corrected accordingly.</p><p>We apologize for this error.</p>","PeriodicalId":11765,"journal":{"name":"Energy Storage","volume":"8 7","pages":""},"PeriodicalIF":4.0,"publicationDate":"2026-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/est2.70525","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149047915","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}