Next Energy最新文献_第10页

3D-Printed OMFC-supercapacitor hybrids for sustainable energy recovery 用于可持续能源回收的3d打印omfc -超级电容器混合动力车

Next Energy

Pub Date : 2025-10-01 Epub Date: 2025-09-18 DOI: 10.1016/j.nxener.2025.100427

Mandar S. Bhagat , Chirag Mevada

Over the past 14 years, osmotic microbial fuel cell (OMFC) technology has been applied in the purification of drinking water, bioenergy production, environmental monitoring and resource recovery at the bench scale. However, it still faces significant challenges in industrial implementation and scaling towards commercialization. These challenges include complex reactor design for handling high reaction volume, long start-up time, costly and laborious fabrication processes for large-scale systems. Interestingly, to overcome these challenges, incorporating 3-dimensional printing (3DP) technology with OMFC seems a viable and promising approach. Furthermore, 3D-printed bio-anodes could offer quick start-up in the current generation using OMFC without any time lags. Also, a stacked OMFC-coupled supercapacitor (SC) system can be easily designed using 3DP technology to generate and store a significant amount of bioelectricity and produce pure water from wastewater. To the best of the author's knowledge, this is the first review paper that specifically highlights the application of 3DP in developing a stacked OMFC system coupled with SC to harvest and store a significant amount of bioenergy in the form of electricity. Similarly, one noteworthy aspect of 3DP technology is its consistent production capabilities, that allow OMFC systems to be scaled up by building multiple stacks of OMFC units without wasting materials and completely free from human error. This review further aims to present the current state and status of the 3DP application to advance OMFC-SC and explore potential future applications of it along with global energy demand.

在过去的14年中，渗透微生物燃料电池（OMFC）技术已经在饮用水净化、生物能源生产、环境监测和资源回收等方面得到了实验规模的应用。然而，它在工业实施和向商业化扩展方面仍面临重大挑战。这些挑战包括处理高反应量的复杂反应器设计，长启动时间，大型系统的昂贵和费力的制造过程。有趣的是，为了克服这些挑战，将3d打印（3DP）技术与OMFC结合起来似乎是一种可行且有前途的方法。此外，3d打印的生物阳极可以在当前一代使用OMFC提供快速启动，没有任何时间滞后。此外，可以使用3d打印技术轻松设计堆叠的omfc耦合超级电容器（SC）系统，以产生和存储大量的生物电，并从废水中生产纯净水。据作者所知，这是第一篇特别强调3d打印在开发堆叠OMFC系统中的应用的综述论文，该系统与SC相结合，以收集和储存大量以电力形式存在的生物能源。同样，3d打印技术的一个值得注意的方面是其一致的生产能力，它允许通过构建多个OMFC单元堆栈来扩展OMFC系统，而不会浪费材料，并且完全没有人为错误。本文旨在进一步介绍3d打印应用的现状和状态，以推进OMFC-SC，并探索其潜在的未来应用，以及全球能源需求。

{"title":"3D-Printed OMFC-supercapacitor hybrids for sustainable energy recovery","authors":"Mandar S. Bhagat , Chirag Mevada","doi":"10.1016/j.nxener.2025.100427","DOIUrl":"10.1016/j.nxener.2025.100427","url":null,"abstract":"<div><div>Over the past 14 years, osmotic microbial fuel cell (OMFC) technology has been applied in the purification of drinking water, bioenergy production, environmental monitoring and resource recovery at the bench scale. However, it still faces significant challenges in industrial implementation and scaling towards commercialization. These challenges include complex reactor design for handling high reaction volume, long start-up time, costly and laborious fabrication processes for large-scale systems. Interestingly, to overcome these challenges, incorporating 3-dimensional printing (3DP) technology with OMFC seems a viable and promising approach. Furthermore, 3D-printed bio-anodes could offer quick start-up in the current generation using OMFC without any time lags. Also, a stacked OMFC-coupled supercapacitor (SC) system can be easily designed using 3DP technology to generate and store a significant amount of bioelectricity and produce pure water from wastewater. To the best of the author's knowledge, this is the first review paper that specifically highlights the application of 3DP in developing a stacked OMFC system coupled with SC to harvest and store a significant amount of bioenergy in the form of electricity. Similarly, one noteworthy aspect of 3DP technology is its consistent production capabilities, that allow OMFC systems to be scaled up by building multiple stacks of OMFC units without wasting materials and completely free from human error. This review further aims to present the current state and status of the 3DP application to advance OMFC-SC and explore potential future applications of it along with global energy demand.</div></div>","PeriodicalId":100957,"journal":{"name":"Next Energy","volume":"9 ","pages":"Article 100427"},"PeriodicalIF":0.0,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145104911","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}

引用次数: 0

Enhanced solar-driven hydrogen evolution via C3N4/NiO/ZnO ternary heterojunction nanocomposite with efficient charge separation C3N4/NiO/ZnO三元异质结纳米复合材料高效电荷分离增强太阳驱动析氢

Next Energy

Pub Date : 2025-10-01 Epub Date: 2025-09-09 DOI: 10.1016/j.nxener.2025.100417

Abu Summama Sadavi Bilal , Uzma Bilal , Taimoor Abbas , R. Roopashree , Egambergan Khudoynazarov , Murodjon Yaxshimuratov , Krishan Kumar Sah , Qaiser Abbas , Rida Fatima , Hafiz Muhammad Noman

The development of efficient photocatalysts for solar-driven hydrogen production remains a critical challenge in renewable energy research. This study presents a novel C₃N₄/NiO/ZnO (CNZO) ternary nanocomposite synthesized via a facile co-precipitation method for enhanced photocatalytic (PC) hydrogen (H₂) evolution under visible light irradiation. The structural and morphological properties of the nanocomposite were systematically characterized using X-ray Diffraction (XRD), Raman spectroscopy, and Scanning Electron Microscopy (SEM), confirming the successful integration of C₃N₄ with NiO and ZnO. Optical studies, including UV–vis absorbance and photoluminescence (PL) spectroscopy, revealed improved visible-light absorption and reduced charge recombination in the ternary system compared to its individual components. The optimized photocatalyst demonstrated exceptional hydrogen production performance, achieving a rate of 2.87 mmolg⁻¹h⁻¹, which was significantly higher than that of binary composites (C₃N₄/NiO, C₃N₄/ZnO, and NiO/ZnO) and pristine semiconductors. The improved activity was related to the synergistic effects of efficient charge separation at the heterojunction interfaces and extended light absorption. Furthermore, the photocatalyst exhibited excellent stability over multiple cycles, as confirmed by life cycle assessment. These findings highlight the potential of the CNZO ternary nanocomposite as a sustainable and high-performance photocatalyst for solar hydrogen generation, providing valuable insights for the design of advanced photocatalytic systems.

开发用于太阳能制氢的高效光催化剂仍然是可再生能源研究中的一个关键挑战。研究了一种新型的C3N4/NiO/ZnO （CNZO）三元纳米复合材料，该材料采用易溶共沉淀法合成，在可见光照射下增强光催化（PC）析氢（H2）。利用x射线衍射（XRD）、拉曼光谱（Raman）和扫描电子显微镜（SEM）对纳米复合材料的结构和形貌进行了系统表征，证实了C3N4与NiO和ZnO的成功集成。光学研究，包括紫外-可见吸光度和光致发光（PL）光谱，表明与单个组分相比，三元体系中的可见光吸收改善，电荷重组减少。优化后的光催化剂表现出优异的产氢性能，产氢速率为2.87 mmolg−1h−1，显著高于二元复合材料（C3N4/NiO、C3N4/ZnO和NiO/ZnO）和原始半导体。活性的提高与异质结界面的有效电荷分离和扩大光吸收的协同作用有关。此外，该光催化剂在多个循环中表现出优异的稳定性，这一点得到了生命周期评估的证实。这些发现突出了CNZO三元纳米复合材料作为可持续和高性能太阳能制氢光催化剂的潜力，为设计先进的光催化系统提供了有价值的见解。

{"title":"Enhanced solar-driven hydrogen evolution via C3N4/NiO/ZnO ternary heterojunction nanocomposite with efficient charge separation","authors":"Abu Summama Sadavi Bilal , Uzma Bilal , Taimoor Abbas , R. Roopashree , Egambergan Khudoynazarov , Murodjon Yaxshimuratov , Krishan Kumar Sah , Qaiser Abbas , Rida Fatima , Hafiz Muhammad Noman","doi":"10.1016/j.nxener.2025.100417","DOIUrl":"10.1016/j.nxener.2025.100417","url":null,"abstract":"<div><div>The development of efficient photocatalysts for solar-driven hydrogen production remains a critical challenge in renewable energy research. This study presents a novel C<sub>3</sub>N<sub>4</sub>/NiO/ZnO (CNZO) ternary nanocomposite synthesized via a facile co-precipitation method for enhanced photocatalytic (PC) hydrogen (H<sub>2</sub>) evolution under visible light irradiation. The structural and morphological properties of the nanocomposite were systematically characterized using X-ray Diffraction (XRD), Raman spectroscopy, and Scanning Electron Microscopy (SEM), confirming the successful integration of C<sub>3</sub>N<sub>4</sub> with NiO and ZnO. Optical studies, including UV–vis absorbance and photoluminescence (PL) spectroscopy, revealed improved visible-light absorption and reduced charge recombination in the ternary system compared to its individual components. The optimized photocatalyst demonstrated exceptional hydrogen production performance, achieving a rate of 2.87 mmolg<sup>−1</sup>h<sup>−1</sup>, which was significantly higher than that of binary composites (C<sub>3</sub>N<sub>4</sub>/NiO, C<sub>3</sub>N<sub>4</sub>/ZnO, and NiO/ZnO) and pristine semiconductors. The improved activity was related to the synergistic effects of efficient charge separation at the heterojunction interfaces and extended light absorption. Furthermore, the photocatalyst exhibited excellent stability over multiple cycles, as confirmed by life cycle assessment. These findings highlight the potential of the CNZO ternary nanocomposite as a sustainable and high-performance photocatalyst for solar hydrogen generation, providing valuable insights for the design of advanced photocatalytic systems.</div></div>","PeriodicalId":100957,"journal":{"name":"Next Energy","volume":"9 ","pages":"Article 100417"},"PeriodicalIF":0.0,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145019111","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}

引用次数: 0

A novel tubular transverse-flux moving-magnet linear oscillating generator designed for free-piston engines 一种用于自由活塞发动机的新型管状横磁动磁直线振荡发电机

Next Energy

Pub Date : 2025-10-01 Epub Date: 2025-09-04 DOI: 10.1016/j.nxener.2025.100412

Zhaoping Xu, Qian Yao, Liang Liu

Linear generator is the most important component of free-piston engine generators, which are considered as ideal range extenders used in electric vehicles. A novel tubular transverse-flux moving-magnet linear oscillating generator (TFLOG) is proposed in this paper for the application of free-piston engines. An equivalent magnetic circuit of the linear generator is established to analyze the main structure parameters, including magnet thicknesses, air gap length, longitudinal tooth spacing, and coil turns, etc. A finite element model is created to simulate the electromagnetic characteristics and optimize the performance of the linear generator. Electromagnetic force, electromotive force, and coil inductance are analyzed by the static solver, while generating power, copper losses, iron losses, and dynamic characteristics are analyzed by the transient solver. The generating efficiency of 91.5% and the power density of 161 W/kg are obtained by the optimized prototype, which are comparable to the reported longitudinal-flux linear generator and can be more easily manufactured with lower costs. Finally, multiobjective optimization was carried out. The inductance has been reduced by 30%, and the power factor has been increased by 20% on the premise of meeting the basic design power requirements.

直线发电机是自由活塞式发动机发电机的重要组成部分，是电动汽车中理想的增程器。提出了一种适用于自由活塞发动机的新型管状横磁动磁直线振荡发电机（TFLOG）。建立了线性发电机的等效磁路，分析了其主要结构参数，包括磁体厚度、气隙长度、纵齿间距、线圈匝数等。建立了线性发电机的有限元模型，对其电磁特性进行了仿真，并对其性能进行了优化。用静态求解器分析电磁力、电动势和线圈电感，用瞬态求解器分析发电功率、铜损、铁损和动态特性。优化后的样机发电效率为91.5%，功率密度为161 W/kg，与已有的纵磁通线性发电机相当，且制造方便，成本较低。最后进行多目标优化。在满足基本设计功率要求的前提下，电感降低了30%，功率因数提高了20%。

{"title":"A novel tubular transverse-flux moving-magnet linear oscillating generator designed for free-piston engines","authors":"Zhaoping Xu, Qian Yao, Liang Liu","doi":"10.1016/j.nxener.2025.100412","DOIUrl":"10.1016/j.nxener.2025.100412","url":null,"abstract":"<div><div>Linear generator is the most important component of free-piston engine generators, which are considered as ideal range extenders used in electric vehicles. A novel tubular transverse-flux moving-magnet linear oscillating generator (TFLOG) is proposed in this paper for the application of free-piston engines. An equivalent magnetic circuit of the linear generator is established to analyze the main structure parameters, including magnet thicknesses, air gap length, longitudinal tooth spacing, and coil turns, etc. A finite element model is created to simulate the electromagnetic characteristics and optimize the performance of the linear generator. Electromagnetic force, electromotive force, and coil inductance are analyzed by the static solver, while generating power, copper losses, iron losses, and dynamic characteristics are analyzed by the transient solver. The generating efficiency of 91.5% and the power density of 161 W/kg are obtained by the optimized prototype, which are comparable to the reported longitudinal-flux linear generator and can be more easily manufactured with lower costs. Finally, multiobjective optimization was carried out. The inductance has been reduced by 30%, and the power factor has been increased by 20% on the premise of meeting the basic design power requirements.</div></div>","PeriodicalId":100957,"journal":{"name":"Next Energy","volume":"9 ","pages":"Article 100412"},"PeriodicalIF":0.0,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144988609","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}

引用次数: 0

Three-dimensional electrochemical simulation of proton exchange membrane fuel cell with distributed resistance modeling method 基于分布电阻建模方法的质子交换膜燃料电池三维电化学模拟

Next Energy

Pub Date : 2025-10-01 Epub Date: 2025-08-29 DOI: 10.1016/j.nxener.2025.100403

Dongan Liu , Tianfu Gong , Chen Zhang, Nanping Hu, Ke Su

In this study, a new modeling method is developed for analyzing the obstructive effects against the reactant gas because of the deformation of the gas diffusion layer (GDL), which is the interaction between the serpent flow field of the anode side and the straight channels with tapered structures of the cathode side due to the compression after the assembly of the proton exchange membrane fuel cell (PEMFC) stack. This method is based on the stochastic reconstruction technology to obtain the GDL porous material, and then the permeabilities of the reconstructed material through-plane can be predicted by normal computational fluid dynamics method. Coupling with the 3-dimensional GDL mechanical deformation model based on finite-element analysis, the profile for describing the distribution of the nonuniform permeabilities in GDL is produced, which particularly focuses on the regions under the ridges between anode and cathode bipolar plates. This distributed resistance map can be used as valuable inputs of physical properties to the electrochemical simulation. Hence, the details of the mass transportation between the gas flow channels and catalyst layer can be captured and analyzed. The simulation results show the deformation of the GDL has significant effects on the gas flow mass transportation and thereby the electrochemical performance. Meanwhile, with the new modeling method, the simulation results are getting more closer to the measurements in all operating current densities. Compared with the conventional method, the accuracy of the simulation is increased. Additionally, it can be observed that the generated water is taking main effect as obstacles to the reactant gas in the higher operating current density, which is playing a more leading role than the resistance of the porous media itself.

本文提出了一种新的模拟方法，用于分析质子交换膜燃料电池（PEMFC）堆叠组装后，气体扩散层（GDL）的变形对反应物气体的阻碍作用，即阳极侧的蛇状流场与阴极侧由于压缩而形成的具有锥形结构的直通道之间的相互作用。该方法基于随机重构技术获得GDL多孔材料，然后用常规计算流体力学方法预测重构材料穿过平面的渗透率。结合基于有限元分析的三维GDL力学变形模型，给出了描述GDL中非均匀渗透率分布的剖面图，特别关注了阳极和阴极双极板之间脊下区域。这种分布电阻图可以作为电化学模拟的有价值的物理性质输入。因此，可以捕获和分析气体流动通道和催化剂层之间质量运输的细节。仿真结果表明，GDL的变形对气体流动、质量输运有显著影响，进而影响电化学性能。同时，采用新的建模方法，在各工作电流密度下的仿真结果与实测结果越来越接近。与传统方法相比，提高了仿真的精度。此外，可以观察到，在较高的工作电流密度下，生成水对反应物气体的阻碍起主要作用，比多孔介质本身的阻力起更大的主导作用。

{"title":"Three-dimensional electrochemical simulation of proton exchange membrane fuel cell with distributed resistance modeling method","authors":"Dongan Liu , Tianfu Gong , Chen Zhang, Nanping Hu, Ke Su","doi":"10.1016/j.nxener.2025.100403","DOIUrl":"10.1016/j.nxener.2025.100403","url":null,"abstract":"<div><div>In this study, a new modeling method is developed for analyzing the obstructive effects against the reactant gas because of the deformation of the gas diffusion layer (GDL), which is the interaction between the serpent flow field of the anode side and the straight channels with tapered structures of the cathode side due to the compression after the assembly of the proton exchange membrane fuel cell (PEMFC) stack. This method is based on the stochastic reconstruction technology to obtain the GDL porous material, and then the permeabilities of the reconstructed material through-plane can be predicted by normal computational fluid dynamics method. Coupling with the 3-dimensional GDL mechanical deformation model based on finite-element analysis, the profile for describing the distribution of the nonuniform permeabilities in GDL is produced, which particularly focuses on the regions under the ridges between anode and cathode bipolar plates. This distributed resistance map can be used as valuable inputs of physical properties to the electrochemical simulation. Hence, the details of the mass transportation between the gas flow channels and catalyst layer can be captured and analyzed. The simulation results show the deformation of the GDL has significant effects on the gas flow mass transportation and thereby the electrochemical performance. Meanwhile, with the new modeling method, the simulation results are getting more closer to the measurements in all operating current densities. Compared with the conventional method, the accuracy of the simulation is increased. Additionally, it can be observed that the generated water is taking main effect as obstacles to the reactant gas in the higher operating current density, which is playing a more leading role than the resistance of the porous media itself.</div></div>","PeriodicalId":100957,"journal":{"name":"Next Energy","volume":"9 ","pages":"Article 100403"},"PeriodicalIF":0.0,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144912909","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}

引用次数: 0

Enhanced thermal management and energy efficiency in electronic processor cooling using MWCNT-LA NEPCM heat sink with U-tube heat pipes 采用u型管热管的MWCNT-LA NEPCM散热器，提高了电子处理器冷却的热管理和能源效率

Next Energy

Pub Date : 2025-10-01 DOI: 10.1016/j.nxener.2025.100440

S. Kalaiselvam , A. Lakshmi Kanthan Bharathi , A. Ameelia Roseline

This study investigates the efficiency of a multi-walled carbon nanotube-infused lauric acid (MWCNT-LA) heatsink with U-tube heat pipes filled with n-pentane for electronic processor cooling. Experimental evaluations were conducted under varying heat loads and filling ratios to assess processor stability and energy efficiency. The investigation focused on energy savings, the thermal resistance of different heat pipe-assisted heatsink modules with multi-walled carbon nanotube-infused lauric acid phase change material, with its regeneration time, and optimal heat pipe filling ratio. Results showed that the MWCNT-LA heat sink module with 50% n-pentane filling performed best under higher heat loads, achieving the lowest thermal resistance of 0.63 °C/W at 50% filling ratio and 75% heat load. This design was 3.58 times more effective than the unfilled heat pipe version and achieved 78% energy savings with minimal cooling fan energy consumption. The developed heat sink design improves thermal management by utilizing latent heat storage and enhancing heat transport efficiency through the heat pipe, thus optimizing thermal performance, heat dissipation, and temperature regulation. These improvements increased the operational reliability and energy efficiency of processors in data center cooling applications.

本研究研究了一种多壁碳纳米管注入月桂酸（MWCNT-LA）散热器的效率，该散热器采用u型管热管填充正戊烷，用于电子处理器的冷却。在不同的热负荷和填充率下进行了实验评估，以评估处理器的稳定性和能效。研究了多壁碳纳米管注入月桂酸相变材料的不同热管辅助散热器模块的节能性能、热阻、再生时间和最佳热管填充比。结果表明，正戊烷填充率为50%的MWCNT-LA散热器模块在高热负荷下表现最佳，在填充率为50%、热负荷为75%时热阻最低，为0.63°C/W。这种设计的效率是未填充热管版本的3.58倍，以最小的冷却风扇能耗实现了78%的节能。开发的散热器设计通过利用潜热储存和提高热管传热效率来改善热管理，从而优化热性能，散热和温度调节。这些改进提高了数据中心冷却应用中处理器的运行可靠性和能源效率。

{"title":"Enhanced thermal management and energy efficiency in electronic processor cooling using MWCNT-LA NEPCM heat sink with U-tube heat pipes","authors":"S. Kalaiselvam , A. Lakshmi Kanthan Bharathi , A. Ameelia Roseline","doi":"10.1016/j.nxener.2025.100440","DOIUrl":"10.1016/j.nxener.2025.100440","url":null,"abstract":"<div><div>This study investigates the efficiency of a multi-walled carbon nanotube-infused lauric acid (MWCNT-LA) heatsink with U-tube heat pipes filled with n-pentane for electronic processor cooling. Experimental evaluations were conducted under varying heat loads and filling ratios to assess processor stability and energy efficiency. The investigation focused on energy savings, the thermal resistance of different heat pipe-assisted heatsink modules with multi-walled carbon nanotube-infused lauric acid phase change material, with its regeneration time, and optimal heat pipe filling ratio. Results showed that the MWCNT-LA heat sink module with 50% n-pentane filling performed best under higher heat loads, achieving the lowest thermal resistance of 0.63°C/W at 50% filling ratio and 75% heat load. This design was 3.58 times more effective than the unfilled heat pipe version and achieved 78% energy savings with minimal cooling fan energy consumption. The developed heat sink design improves thermal management by utilizing latent heat storage and enhancing heat transport efficiency through the heat pipe, thus optimizing thermal performance, heat dissipation, and temperature regulation. These improvements increased the operational reliability and energy efficiency of processors in data center cooling applications.</div></div>","PeriodicalId":100957,"journal":{"name":"Next Energy","volume":"9 ","pages":"Article 100440"},"PeriodicalIF":0.0,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145220149","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}

引用次数: 0

Data-driven regression controller-based MPPT with image encryption inspired solar PV array reconfiguration under partial shading conditions 部分遮阳条件下基于数据驱动回归控制器的MPPT图像加密启发太阳能光伏阵列重构

Next Energy

Pub Date : 2025-10-01 DOI: 10.1016/j.nxener.2025.100438

Madavena Kumaraswamy, Kanasottu Anil Naik

Partial shading and environmental variations significantly reduce the power output and efficiency of photovoltaic (PV) systems, posing challenges for conventional maximum power point tracking (MPPT) methods that suffer from slow convergence, local maxima trapping, and high computational cost. To address these limitations, this paper proposes an image encryption-inspired PV array static reconfiguration technique based on the Kolakoski sequence transform (KST), combined with data-driven regression-based MPPT controllers. The proposed KST method minimizes current mismatches by intelligently redistributing shaded modules, while decision tree (DT), support vector machine (SVM), neural network (NN), and machine learning (ML) regression methods are employed to determine the optimal duty cycle for a SEPIC converter under varying irradiance conditions. The system is evaluated on both symmetrical 5 × 5 arrays and unsymmetrical 4 × 6 arrays, including experimental validation using a 250 Wp standalone PV setup. In MPPT performance, the regression-based controllers attain GMP enhancements of 47.09%, 45.14%, 27.27%, 13.62%, and 10.73% for 5 × 5 arrays and 74.96%, 44.11%, 40.14%, 18.29%, and 7.15% for 4 × 6 arrays under diverse environmental conditions. The reconfiguration technique achieves global maximum power (GMP) improvements of 32.79%, 14.98%, and 10.15% across various shading scenarios using 9 × 9 arrays. Notably, the proposed KST integrated with SVM regression-based MPPT delivers up to 68% GMPP enhancement, with >98.5% efficiency, convergence <0.35 s, and ripple ≤1.5%, validated across dynamic shading, temperature variation, rapid irradiance changes, and hotspot conditions. These results confirm the robustness, adaptability, and real-time suitability of the proposed KST integrated with ML-based Regression MPPT approach for practical PV optimization.

部分遮阳和环境变化显著降低了光伏（PV）系统的输出功率和效率，对传统的最大功率点跟踪（MPPT）方法提出了挑战，这些方法存在收敛速度慢、局部最大值捕获和计算成本高的问题。为了解决这些限制，本文提出了一种基于Kolakoski序列变换（KST）的基于图像加密的光伏阵列静态重构技术，并结合基于数据驱动回归的MPPT控制器。提出的KST方法通过智能地重新分配阴影模块来最小化当前的不匹配，而决策树（DT）、支持向量机（SVM）、神经网络（NN）和机器学习（ML）回归方法用于确定不同辐照条件下SEPIC转换器的最佳占空比。系统在对称5 × 5阵列和非对称4 × 6阵列上进行了评估，包括使用250 Wp独立PV装置进行实验验证。在MPPT性能方面，基于回归的控制器在不同环境条件下对5个 × 5阵列的GMP增强率分别为47.09%、45.14%、27.27%、13.62%和10.73%，对4个 × 6阵列的GMP增强率分别为74.96%、44.11%、40.14%、18.29%和7.15%。重新配置技术在使用9 × 9阵列的各种遮光场景下实现了32.79%，14.98%和10.15%的全局最大功率（GMP）改进。值得注意的是，所提出的KST与基于SVM回归的MPPT相结合，提供了高达68%的GMPP增强，效率>；98.5%，收敛<；0.35 s，纹波≤1.5%，在动态遮阳，温度变化，快速光照变化和热点条件下都得到了验证。这些结果证实了所提出的KST与基于ml的回归MPPT方法集成在实际PV优化中的鲁棒性、适应性和实时性。

{"title":"Data-driven regression controller-based MPPT with image encryption inspired solar PV array reconfiguration under partial shading conditions","authors":"Madavena Kumaraswamy, Kanasottu Anil Naik","doi":"10.1016/j.nxener.2025.100438","DOIUrl":"10.1016/j.nxener.2025.100438","url":null,"abstract":"<div><div>Partial shading and environmental variations significantly reduce the power output and efficiency of photovoltaic (PV) systems, posing challenges for conventional maximum power point tracking (MPPT) methods that suffer from slow convergence, local maxima trapping, and high computational cost. To address these limitations, this paper proposes an image encryption-inspired PV array static reconfiguration technique based on the Kolakoski sequence transform (KST), combined with data-driven regression-based MPPT controllers. The proposed KST method minimizes current mismatches by intelligently redistributing shaded modules, while decision tree (DT), support vector machine (SVM), neural network (NN), and machine learning (ML) regression methods are employed to determine the optimal duty cycle for a SEPIC converter under varying irradiance conditions. The system is evaluated on both symmetrical 5 × 5 arrays and unsymmetrical 4 × 6 arrays, including experimental validation using a 250 Wp standalone PV setup. In MPPT performance, the regression-based controllers attain GMP enhancements of 47.09%, 45.14%, 27.27%, 13.62%, and 10.73% for 5 × 5 arrays and 74.96%, 44.11%, 40.14%, 18.29%, and 7.15% for 4 × 6 arrays under diverse environmental conditions. The reconfiguration technique achieves global maximum power (GMP) improvements of 32.79%, 14.98%, and 10.15% across various shading scenarios using 9 × 9 arrays. Notably, the proposed KST integrated with SVM regression-based MPPT delivers up to 68% GMPP enhancement, with >98.5% efficiency, convergence <0.35 s, and ripple ≤1.5%, validated across dynamic shading, temperature variation, rapid irradiance changes, and hotspot conditions. These results confirm the robustness, adaptability, and real-time suitability of the proposed KST integrated with ML-based Regression MPPT approach for practical PV optimization.</div></div>","PeriodicalId":100957,"journal":{"name":"Next Energy","volume":"9 ","pages":"Article 100438"},"PeriodicalIF":0.0,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145220147","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}

引用次数: 0

Advancing MoOx and NiOx as hole transport layers for perovskite solar cells: Experimental and theoretical insights 推进MoOx和NiOx作为钙钛矿太阳能电池的空穴传输层：实验和理论见解

Next Energy

Pub Date : 2025-10-01 Epub Date: 2025-10-17 DOI: 10.1016/j.nxener.2025.100463

Mohammad Istiaque Hossain , Puvaneswaran Chelvanathan , Amith Khandakar , Kevin Thomas , Brahim Aissa

We have developed crystalline thin metal oxide films (MoOx, NiOx) as hole transport layers with varying stoichiometries for perovskite solar cells applications. Reactive e-beam evaporation was employed to grow the oxides by vaporizing pure metals at different oxygen pressures, followed by thermal annealing at 200 °C. Scanning electron microscopy (SEM), energy-dispersive X-ray spectroscopy, contact angle measurements, X-ray diffraction (XRD), and variable angle spectroscopic ellipsometry were used to analyze the grown films. The XRD findings confirm the presence of crystalline phases in the NiO_x thin films when processed at 200 °C, particularly in the most oxygen-rich films (deposited at 2e-4 Torr). In contrast, the MoOx layers exhibit an amorphous phase. Field emission SEM results confirm the production of dense and homogeneous films across the substrate's surface, free from cracks and pinholes. A numerical model utilizing the measured refractive indices suggests that optimizing the device design with these thin films can achieve power conversion efficiencies of over 25%.

我们已经开发出晶体薄金属氧化物薄膜（MoOx, NiOx）作为钙钛矿太阳能电池应用中具有不同化学计量的空穴传输层。采用反应电子束蒸发法，在不同氧压下对纯金属进行汽化，然后在200℃下进行热退火。利用扫描电子显微镜（SEM）、能量色散x射线能谱、接触角测量、x射线衍射（XRD）和变角椭偏光谱对生长膜进行了分析。XRD结果证实，在200°C下处理的NiOx薄膜中存在结晶相，特别是在大多数富氧薄膜中（沉积在2e-4 Torr）。相比之下，MoOx层表现为非晶相。场发射扫描电镜结果证实，在衬底表面产生了致密且均匀的薄膜，没有裂纹和针孔。利用测量的折射率进行的数值模型表明，利用这些薄膜优化器件设计可以实现超过25%的功率转换效率。

{"title":"Advancing MoOx and NiOx as hole transport layers for perovskite solar cells: Experimental and theoretical insights","authors":"Mohammad Istiaque Hossain , Puvaneswaran Chelvanathan , Amith Khandakar , Kevin Thomas , Brahim Aissa","doi":"10.1016/j.nxener.2025.100463","DOIUrl":"10.1016/j.nxener.2025.100463","url":null,"abstract":"<div><div>We have developed crystalline thin metal oxide films (MoOx, NiOx) as hole transport layers with varying stoichiometries for perovskite solar cells applications. Reactive e-beam evaporation was employed to grow the oxides by vaporizing pure metals at different oxygen pressures, followed by thermal annealing at 200 °C. Scanning electron microscopy (SEM), energy-dispersive X-ray spectroscopy, contact angle measurements, X-ray diffraction (XRD), and variable angle spectroscopic ellipsometry were used to analyze the grown films. The XRD findings confirm the presence of crystalline phases in the NiO<sub>x</sub> thin films when processed at 200 °C, particularly in the most oxygen-rich films (deposited at 2e-4 Torr). In contrast, the MoOx layers exhibit an amorphous phase. Field emission SEM results confirm the production of dense and homogeneous films across the substrate's surface, free from cracks and pinholes. A numerical model utilizing the measured refractive indices suggests that optimizing the device design with these thin films can achieve power conversion efficiencies of over 25%.</div></div>","PeriodicalId":100957,"journal":{"name":"Next Energy","volume":"9 ","pages":"Article 100463"},"PeriodicalIF":0.0,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145332203","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}

引用次数: 0

Operational and environmental impacts on battery lifetime and vehicle performance: A case study for electric taxis 操作和环境对电池寿命和车辆性能的影响：电动出租车的案例研究

Next Energy

Pub Date : 2025-10-01 DOI: 10.1016/j.nxener.2025.100441

Zisis Lampropoulos , Spyridon Spyridopoulos , Traianos Karageorgiou , Grigorios Koltsakis

The gradual electrification of the road transport sector has raised a lot of concerns about the reliability of battery electric vehicles (BEVs). Many potential customers not only lack awareness about the benefits of electrification, total costs and charging infrastructure, but are especially worried about battery lifetime and vehicle performance, information which manufacturers often struggle to provide accurately. This work proposes a methodology to predict BEV lifetime based on complete vehicle simulation employing a physics-based, electrochemical-thermal-aging battery model. In addition, the model calculates the performance degradation over time in terms of energy consumption, range, battery charging efficiency and vehicle acceleration. Physics-based models are harder to develop and computationally costlier than data-driven models. However, once developed, they can be used in a much broader range of conditions and, more importantly, be applied also when no adequate on-road data are yet available. The proposed methodology is applied in a case study of BEV taxis in the city of Thessaloniki, Greece. In particular, the impact of battery preheating prior to charging is evaluated by simulation, showing that preheating could increase lifetime and mileage of BEV taxis by 14% in South European climates. In another application, it is calculated that mid-shift fast-charging could even double the life of the battery compared to fast-charging only before shift change, leading simultaneously to improved performance when compared within the same operational period. Such results could support battery and vehicle manufacturers as well as fleet managers to guide BEV taxi owners towards optimal charging behavior. The modeling approach presented in this paper can be further extended to other vehicle groups, environmental, driving and charging conditions, making it a powerful tool not only for manufacturers, but also for policymakers and charging infrastructure companies.

道路运输行业的逐步电气化引发了人们对纯电动汽车（bev）可靠性的担忧。许多潜在客户不仅对电气化的好处、总成本和充电基础设施缺乏认识，而且尤其担心电池寿命和车辆性能，而制造商往往难以准确提供这些信息。本研究提出了一种基于整车仿真的方法，该方法采用基于物理的电化学-热老化电池模型来预测纯电动汽车的寿命。此外，该模型还从能耗、续航里程、电池充电效率和车辆加速等方面计算了车辆性能随时间的退化情况。基于物理的模型比数据驱动的模型更难开发，计算成本也更高。然而，一旦开发出来，它们可以在更广泛的条件下使用，更重要的是，在没有足够的道路数据时也可以应用。所提出的方法应用于希腊塞萨洛尼基市纯电动出租车的案例研究。特别是，通过模拟评估了充电前电池预热的影响，结果表明，在南欧气候条件下，预热可以使纯电动出租车的使用寿命和行驶里程增加14%。在另一项应用中，计算出换挡中期快速充电比换挡前快速充电甚至可以使电池的寿命增加一倍，同时在相同的运行周期内，性能也有所提高。这些结果可以帮助电池和汽车制造商以及车队管理者指导纯电动出租车车主采取最佳充电行为。本文提出的建模方法可以进一步扩展到其他车辆组、环境、驾驶和充电条件，使其不仅对制造商，而且对政策制定者和充电基础设施公司都是一个强大的工具。

{"title":"Operational and environmental impacts on battery lifetime and vehicle performance: A case study for electric taxis","authors":"Zisis Lampropoulos , Spyridon Spyridopoulos , Traianos Karageorgiou , Grigorios Koltsakis","doi":"10.1016/j.nxener.2025.100441","DOIUrl":"10.1016/j.nxener.2025.100441","url":null,"abstract":"<div><div>The gradual electrification of the road transport sector has raised a lot of concerns about the reliability of battery electric vehicles (BEVs). Many potential customers not only lack awareness about the benefits of electrification, total costs and charging infrastructure, but are especially worried about battery lifetime and vehicle performance, information which manufacturers often struggle to provide accurately. This work proposes a methodology to predict BEV lifetime based on complete vehicle simulation employing a physics-based, electrochemical-thermal-aging battery model. In addition, the model calculates the performance degradation over time in terms of energy consumption, range, battery charging efficiency and vehicle acceleration. Physics-based models are harder to develop and computationally costlier than data-driven models. However, once developed, they can be used in a much broader range of conditions and, more importantly, be applied also when no adequate on-road data are yet available. The proposed methodology is applied in a case study of BEV taxis in the city of Thessaloniki, Greece. In particular, the impact of battery preheating prior to charging is evaluated by simulation, showing that preheating could increase lifetime and mileage of BEV taxis by 14% in South European climates. In another application, it is calculated that mid-shift fast-charging could even double the life of the battery compared to fast-charging only before shift change, leading simultaneously to improved performance when compared within the same operational period. Such results could support battery and vehicle manufacturers as well as fleet managers to guide BEV taxi owners towards optimal charging behavior. The modeling approach presented in this paper can be further extended to other vehicle groups, environmental, driving and charging conditions, making it a powerful tool not only for manufacturers, but also for policymakers and charging infrastructure companies.</div></div>","PeriodicalId":100957,"journal":{"name":"Next Energy","volume":"9 ","pages":"Article 100441"},"PeriodicalIF":0.0,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145220146","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}

引用次数: 0

Semi-empirical calendar capacity degradation modeling of graphite/lithium iron phosphate (LFP) pouch cells: Non-constant fitting coefficient functions 石墨/磷酸铁锂（LFP）袋状电池半经验日历容量退化模型：非常数拟合系数函数

Next Energy

Pub Date : 2025-10-01 Epub Date: 2025-10-10 DOI: 10.1016/j.nxener.2025.100456

Yu Hui Lui , Xinyou Ke , Sheng Liu , Lei Zhang , Yong Wang , Huanhuan Wang

To accurately and efficiently predict the lifetime of Li-ion batteries for their practical applications in battery electric vehicles, hybrid electric vehicles, plug-in hybrid electric vehicles, energy storage systems, etc., accurate semiempirical life models are desired for battery lifetime simulation. In this work, semiempirical calendar aging models considering nonconstant fitting coefficient functions based on storage aging tests for 20 Ah graphite/lithium iron phosphate pouch cells under various temperatures ranging from 0℃ to 60℃ and state-of-charges ranging from 20% to 100% were developed. It was found that the “best” calendar capacity life model with non-constant fitting coefficient functions compared with the common calendar capacity life model with constant fitting coefficients reduces the mean absolute error and root mean square error of the calendar capacity fitting by 7.4% and 6.6%, respectively. Moreover, the “best” calendar capacity life model proposed in this work outperforms 2 existing reference models reported in the literature, especially at high temperatures, that is, 40℃ and 60℃. It is expected that this work would benefit accurate and efficient calendar capacity prediction of Li-ion batteries.

为了准确有效地预测锂离子电池在纯电动汽车、混合动力汽车、插电式混合动力汽车、储能系统等实际应用中的寿命，需要精确的半经验寿命模型进行电池寿命仿真。本文建立了20个 Ah石墨/磷酸铁锂袋状电池在0℃~ 60℃、20% ~ 100%荷电状态下，考虑非常数拟合系数函数的半经验日历老化模型。结果表明，采用非常数拟合系数的“最佳”日历产能寿命模型与采用常数拟合系数的普通日历产能寿命模型相比，日历产能拟合的平均绝对误差和均方根误差分别降低了7.4%和6.6%。此外，本文提出的“最佳”日历容量寿命模型优于文献报道的2个现有参考模型，特别是在高温下，即40℃和60℃。期望这项工作将有利于锂离子电池准确、高效的日历容量预测。

{"title":"Semi-empirical calendar capacity degradation modeling of graphite/lithium iron phosphate (LFP) pouch cells: Non-constant fitting coefficient functions","authors":"Yu Hui Lui , Xinyou Ke , Sheng Liu , Lei Zhang , Yong Wang , Huanhuan Wang","doi":"10.1016/j.nxener.2025.100456","DOIUrl":"10.1016/j.nxener.2025.100456","url":null,"abstract":"<div><div>To accurately and efficiently predict the lifetime of Li-ion batteries for their practical applications in battery electric vehicles, hybrid electric vehicles, plug-in hybrid electric vehicles, energy storage systems, etc., accurate semiempirical life models are desired for battery lifetime simulation. In this work, semiempirical calendar aging models considering nonconstant fitting coefficient functions based on storage aging tests for 20 Ah graphite/lithium iron phosphate pouch cells under various temperatures ranging from 0℃ to 60℃ and state-of-charges ranging from 20% to 100% were developed. It was found that the “best” calendar capacity life model with non-constant fitting coefficient functions compared with the common calendar capacity life model with constant fitting coefficients reduces the mean absolute error and root mean square error of the calendar capacity fitting by 7.4% and 6.6%, respectively. Moreover, the “best” calendar capacity life model proposed in this work outperforms 2 existing reference models reported in the literature, especially at high temperatures, that is, 40℃ and 60℃. It is expected that this work would benefit accurate and efficient calendar capacity prediction of Li-ion batteries.</div></div>","PeriodicalId":100957,"journal":{"name":"Next Energy","volume":"9 ","pages":"Article 100456"},"PeriodicalIF":0.0,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145265005","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}

引用次数: 0

A comprehensive review of carbon capture: From conventional to emerging electrochemical technologies 碳捕获的综合综述：从传统的到新兴的电化学技术

Next Energy

Pub Date : 2025-10-01 Epub Date: 2025-09-10 DOI: 10.1016/j.nxener.2025.100415

Aymen Ihsan Hadi , An Yan , Yiping Hu , Bing Lin , Taigang Zhou , Denghao Ouyang , Junlei Tang

The increasing levels of atmospheric carbon dioxide (CO₂) from various emission sources have become a critical factor in global climate change, making the urgent development of effective carbon capture technologies necessary. This review offers a comprehensive analysis of both conventional and emerging electrochemical carbon capture technologies, with a specific emphasis on electrochemical CO₂ capture (ECC) technologies. Conventional approaches encompass a range of technologies, including absorption, adsorption, membrane separation, and cryogenic processes, as well as combustion-based strategies such as pre-combustion, post-combustion, and oxy-fuel combustion techniques. They are widely implemented at an industrial scale but frequently face challenges due to high energy demands, operational complexity, and limited scalability. In contrast, electrochemical technologies present promising alternatives because of their lower energy requirements, modular design, and compatibility with renewable energy sources. The review critically evaluates key ECC strategies such as pH-swing processes, redox-active carriers, bipolar membrane electrodialysis, CO₂ electroreduction, and electrochemical mineralization. Advancements in catalyst development, membrane engineering, and system integration are assessed concerning CO₂ capture efficiency, Faradaic efficiency, selectivity, and scalability. Despite significant advancements, challenges remain in the areas of material stability, energy efficiency optimization. The transformative potential of ECC and the future research pathways aimed at addressing current limitations and accelerating commercialization are also explored.

来自各种排放源的大气二氧化碳（CO 2）水平的增加已成为全球气候变化的关键因素，因此迫切需要开发有效的碳捕获技术。本文对传统的和新兴的电化学碳捕集技术进行了全面的分析，特别强调了电化学二氧化碳捕集（ECC）技术。传统的方法包括一系列技术，包括吸收、吸附、膜分离和低温过程，以及基于燃烧的策略，如燃烧前、燃烧后和全氧燃料燃烧技术。它们在工业规模上得到了广泛的应用，但由于高能量需求、操作复杂性和有限的可扩展性，它们经常面临挑战。相比之下，电化学技术由于其较低的能源需求、模块化设计以及与可再生能源的兼容性，呈现出很有前途的替代方案。该综述批判性地评估了关键的ECC策略，如ph -摆动过程、氧化还原活性载体、双极膜电渗析、CO 2电还原和电化学矿化。对催化剂开发、膜工程和系统集成方面的进展进行了有关CO₂捕获效率、法拉第效率、选择性和可扩展性的评估。尽管取得了重大进展，但在材料稳定性和能效优化方面仍存在挑战。还探讨了ECC的变革潜力以及旨在解决当前限制和加速商业化的未来研究途径。

{"title":"A comprehensive review of carbon capture: From conventional to emerging electrochemical technologies","authors":"Aymen Ihsan Hadi , An Yan , Yiping Hu , Bing Lin , Taigang Zhou , Denghao Ouyang , Junlei Tang","doi":"10.1016/j.nxener.2025.100415","DOIUrl":"10.1016/j.nxener.2025.100415","url":null,"abstract":"<div><div>The increasing levels of atmospheric carbon dioxide (CO₂) from various emission sources have become a critical factor in global climate change, making the urgent development of effective carbon capture technologies necessary. This review offers a comprehensive analysis of both conventional and emerging electrochemical carbon capture technologies, with a specific emphasis on electrochemical CO₂ capture (ECC) technologies. Conventional approaches encompass a range of technologies, including absorption, adsorption, membrane separation, and cryogenic processes, as well as combustion-based strategies such as pre-combustion, post-combustion, and oxy-fuel combustion techniques. They are widely implemented at an industrial scale but frequently face challenges due to high energy demands, operational complexity, and limited scalability. In contrast, electrochemical technologies present promising alternatives because of their lower energy requirements, modular design, and compatibility with renewable energy sources. The review critically evaluates key ECC strategies such as pH-swing processes, redox-active carriers, bipolar membrane electrodialysis, CO₂ electroreduction, and electrochemical mineralization. Advancements in catalyst development, membrane engineering, and system integration are assessed concerning CO₂ capture efficiency, Faradaic efficiency, selectivity, and scalability. Despite significant advancements, challenges remain in the areas of material stability, energy efficiency optimization. The transformative potential of ECC and the future research pathways aimed at addressing current limitations and accelerating commercialization are also explored.</div></div>","PeriodicalId":100957,"journal":{"name":"Next Energy","volume":"9 ","pages":"Article 100415"},"PeriodicalIF":0.0,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145026312","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}

引用次数: 0