Next Energy最新文献

{"title":"The nanogreen revolution: Transforming CO2 capture through sustainable nanotechnology","authors":"Francis A. Ibekwe ,&nbsp;Humphrey S. Samuel ,&nbsp;David A. Undie ,&nbsp;Oluwakemi O. Akinpelu ,&nbsp;Onimisi P. Onotu ,&nbsp;Emmanuel E. Etim","doi":"10.1016/j.nxener.2025.100395","DOIUrl":"10.1016/j.nxener.2025.100395","url":null,"abstract":"<div><div>The urgent challenge of climate change, driven by rising atmospheric CO₂ levels, demands innovative and scalable carbon capture solutions. While conventional carbon capture and sequestration (CCS) technologies such as post-combustion, pre-combustion, and oxy-fuel combustion can achieve up to 90% CO₂ removal, their widespread adoption is hindered by high energy requirements, operational costs, and integration barriers. This review systematically analyzes the Nanogreen Revolution, which merges nanotechnology, green chemistry, and biomass-derived materials to advance CO₂ capture. We present a new classification of nanomaterials, including metal-organic frameworks (MOFs), nanoporous carbons, and 2-dimensional materials based on their structural features, synthesis approaches, and capture mechanisms. Recent studies reveal that amine-functionalized MOFs and graphene oxide membranes can achieve CO₂ capture efficiencies exceeding 95% ideal laboratory-scale settings, while also offering improved selectivity and stability. The integration of green chemistry principles into nanomaterial synthesis further reduces energy consumption and environmental impact. Despite these advances, challenges remain in scaling up production and minimizing costs. This review concludes by outlining future research directions and policy considerations, emphasizing the potential of nanotechnology-enabled CCS to accelerate progress toward net-negative emissions and inform climate mitigation strategies at both industrial and policy levels.</div></div>","PeriodicalId":100957,"journal":{"name":"Next Energy","volume":"9 ","pages":"Article 100395"},"PeriodicalIF":0.0,"publicationDate":"2025-08-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144864248","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":"Research progress on typical failure mode diagnosis and early warning of power battery for NEVs","authors":"Zhengjie Zhang ,&nbsp;Rui Cao ,&nbsp;Xinlei Gao ,&nbsp;Hanqing Yu ,&nbsp;Yuntao Jin ,&nbsp;Yefan Sun ,&nbsp;Xinhua Liu ,&nbsp;Shichun Yang","doi":"10.1016/j.nxener.2025.100390","DOIUrl":"10.1016/j.nxener.2025.100390","url":null,"abstract":"<div><div>With the rapid development of the new energy vehicle industry and the escalating ownership rates, thermal runaway problem in power battery has emerged as a significant barrier to the widespread adoption of new energy vehicles. This paper first elucidates the requirements for thermal runaway phenomenon through an examination of heat generation and dissipation dynamics in battery, unveiling the chain reaction process and corresponding chemical equations. Next, it encapsulates the prevalent failure modes at both system and individual levels, particularly highlighting internal short circuit, capacity degradation and electrolyte leakage, and introduces the failure analysis process after product recall, leveraging insights from experience of a battery manufacturer. Subsequently, the focus shifts to cutting-edge diagnostic techniques prevalent in both academic and industrial realms, detailing the attributes and prospective trajectories of each method. Finally, a multidimensional safety early warning framework that melds mechanisms with data analytics is proposed. Additionally, the potential implementation avenues and application scenarios of emerging large model technologies within the battery field are prospected. This paper aims to promote fault diagnosis and early warning technologies for power batteries, thereby fostering the sustainable growth of the new energy vehicle industry.</div></div>","PeriodicalId":100957,"journal":{"name":"Next Energy","volume":"9 ","pages":"Article 100390"},"PeriodicalIF":0.0,"publicationDate":"2025-08-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144864249","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":"Experimental study of a novel nanofluid cooling system based on fly ash and serpentine channels for modular lithium-ion battery thermal control","authors":"Sagar Wankhede,&nbsp;Ajay Pingale,&nbsp;Shweta Patil,&nbsp;Kaustubh Shahane","doi":"10.1016/j.nxener.2025.100396","DOIUrl":"10.1016/j.nxener.2025.100396","url":null,"abstract":"<div><div>In an effort to combat global warming, several countries have pledged to achieve carbon neutrality by 2050. One of the most crucial and significant responsibilities in achieving carbon neutrality is transportation. The present generation of combustion-engine automobiles may be replaced by energy-efficient pure electric vehicles (EVs) and hybrid electric vehicles (HEVs) powered by green energy in response to global energy and environmental issues. More batteries are needed for EVs than ever before. According to this viewpoint, lithium-ion batteries (LIBs) are exceptional energy storage devices that have gained widespread usage because of their many outstanding advantages. EVs usually employ the battery thermal management system (BTMS) since LIBs are sensitive to temperature. With the aid of a BTMS, an electric car's lithium-ion battery may operate between 15 and 35<!--> <!-->°C. The efficiency of LIBs is also impacted by the internal heat generated while charging and discharging. Thus, a battery heat control system is needed. Liquid-cooled systems can effectively regulate the LIB pack's temperature in both charge and discharge situations. The utilization of fly ash nanoparticles distributed in water-as a coolant in indirect liquid cooling systems is the primary objective of the current work. The fly ash nanoparticle concentration and the BTMS capacity to remove heat were found to be clearly correlated in the experimental findings of the fly ash-based nanofluid (NF). In comparison to the base fluid, the fly ash water-based NF was able to remove around 10.65% more heat at a concentration of 0.1% by volume of nanoparticles, and approximately 11.30% more heat at a concentration of 0.3% and 13.04% more heat at a concentration of 1% volume fraction of fly ash-based nanoparticles. Increased thermal conductivity and better convective heat transfer properties of the NF with a greater fly ash concentration are responsible for this improvement in thermal performance. Comparing these nanofluids to traditional coolants, experiments have shown that they can lower thermal resistance and increase heat transfer coefficients. According to the study's findings, fly ash-based NF perform better at cooling than traditional coolants like ethylene glycol and water.</div></div>","PeriodicalId":100957,"journal":{"name":"Next Energy","volume":"9 ","pages":"Article 100396"},"PeriodicalIF":0.0,"publicationDate":"2025-08-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144864146","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":"Cavitation control in Francis turbines by design optimization across variable operating conditions","authors":"Saaif Showkat ,&nbsp;Ghulam Ashraful Harmain ,&nbsp;Junaid Hassan Masoodi","doi":"10.1016/j.nxener.2025.100391","DOIUrl":"10.1016/j.nxener.2025.100391","url":null,"abstract":"<div><div>Cavitation is a critical challenge which significantly affects performance of hydro turbines leading to inefficient operation. Cavitation primarily arises due to improper design and frequent variations in operating conditions. Prediction or maintaining cavitation within controlled limits is crucial and challenging task in turbines yet it is essential for employing effective mitigation strategies to ensure the efficient and reliable operation of turbines. In this study, computational fluid dynamics (CFD) analysis of Francis turbine runner employed at DulHasti Power Station (DPS) was conducted using Ansys CFX for 3 different loading conditions (Underload, Full load and Over load) to identify and mitigate cavitation prone areas. Blade loading profiles were analysed to detect the sudden pressure drops responsible for manifesting cavitation and Elliptic Ratio, the key blade design parameter was optimized to control sudden pressure drops and enhance cavitation resistance of runner. The effectiveness of the modified design was validated using Thoma’s cavitation number to ensure improved resistance against cavitation. Our study concluded that the modified runner exhibited reduced cavitation intensity demonstrating the potential for improved operational reliability. This novel framework, optimizing the elliptic ratio of blade to mitigate cavitation, establishes a benchmark for cavitation control in Francis turbine and can be extended to other reaction turbines as well.</div></div>","PeriodicalId":100957,"journal":{"name":"Next Energy","volume":"9 ","pages":"Article 100391"},"PeriodicalIF":0.0,"publicationDate":"2025-08-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144864250","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":"Suitability framework for selecting MCDA methods in energy planning problems","authors":"Olaoluwa Paul Aasa ,&nbsp;Innocent Musonda ,&nbsp;Sarah Phoya ,&nbsp;Rehema J. Monko","doi":"10.1016/j.nxener.2025.100389","DOIUrl":"10.1016/j.nxener.2025.100389","url":null,"abstract":"<div><div>Multi-Criteria Decision Analysis (MCDA) techniques are extensively used across diverse fields, including energy planning. Current frameworks for selecting the most suitable MCDA method tend to be overly complex, excessively general with limited criteria, not tailored to specific problem domains, or demand high levels of technical expertise. This article introduces a suitability framework to help choose the most appropriate MCDA method for energy planning. The framework incorporates decision problem variables (PVs) alongside the commonly employed MCDA method variables (MVs). The process involves identifying 20 frequently used MCDA methods in energy, analysing 14 suitability variables to compare these methods, and describing each method based on these variables. This includes determining the expected properties of the decision problem in relation to the suitability variables, deriving consistency values, and calculating importance scores (ISs) for each method. The framework and the accompanying Excel tool—the MCDA Index of Suitability (MIST)—were applied to identify the most suitable method for energy transition decisions in Sub-Saharan Africa (SSA), where TOPSIS proved to be the most appropriate. The case study application and sensitivity analysis using different weights demonstrate the framework's stability and robustness in recommending appropriate methods for decision-making, especially for top-ranking methods. The study advocates for the utilization of the framework within and beyond the energy sector, using specific context-expected properties to ensure proper method selection. Furthermore, the set of methods can be expanded to include newer versions of existing techniques.</div></div>","PeriodicalId":100957,"journal":{"name":"Next Energy","volume":"9 ","pages":"Article 100389"},"PeriodicalIF":0.0,"publicationDate":"2025-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144842310","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":"Evaluating engine durability and operational effects of biodiesel blends in heavy equipment applications","authors":"Uhanto Uhanto ,&nbsp;Erkata Yandri ,&nbsp;Erik Hilmi ,&nbsp;Rifki Saiful ,&nbsp;Ratna Ariati","doi":"10.1016/j.nxener.2025.100392","DOIUrl":"10.1016/j.nxener.2025.100392","url":null,"abstract":"<div><div>This research supports energy transition goals by assessing the viability of biodiesel as a reliable fuel in heavy industrial applications. Through real-time performance tracking and durability analysis, it contributes to optimizing energy use and operational sustainability in high demand environments. In recent years, the use of biodiesel as an alternative fuel has grown significantly, particularly in the transportation, mining, and construction sectors. However, its impact on engine durability and maintenance strategies still requires special attention. This study aims to evaluate the effect of biodiesel blends on engine durability and performance in heavy equipment. The findings provide a foundation for the development of future predictive strategies to optimize maintenance scheduling. The methods employed include an experimental approach using various biodiesel blend proportions (B5, B15, B35) to analyze engine performance on HD785-7 units and the necessary maintenance treatments. Biodiesel testing experiments were conducted on 3 HD785-7 units to evaluate their impact on engine durability. Unit A was monitored for up to 27,000 hours, unit B up to 36,000 hours, and unit C up to 40,000 hours, with each unit dismantled for subsequent analysis. Furthermore, predictive maintenance models can be developed to estimate engine durability based on usage patterns and biodiesel blends. The research results indicate that the gradual use of biodiesel from B5 to B15 and B35 can reduce CO₂ emissions by up to 17% compared to fossil fuels. Additionally, the findings show that heavy equipment operations do not significantly affect engine performance, and specific maintenance treatments can enhance engine lifespan. These findings provide valuable guidance for the more optimal utilization of biodiesel in heavy equipment applications.</div></div>","PeriodicalId":100957,"journal":{"name":"Next Energy","volume":"9 ","pages":"Article 100392"},"PeriodicalIF":0.0,"publicationDate":"2025-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144831449","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":"Corrigendum to ‘‘Thermodynamic analysis of an isothermal redox cycle for vacuum carbothermal ceria reduction and carbon-dioxide splitting for solar fuels production’’ Next Energy Issue 8 (2025) 100366","authors":"Karinate Valentine Okiy","doi":"10.1016/j.nxener.2025.100397","DOIUrl":"10.1016/j.nxener.2025.100397","url":null,"abstract":"","PeriodicalId":100957,"journal":{"name":"Next Energy","volume":"9 ","pages":"Article 100397"},"PeriodicalIF":0.0,"publicationDate":"2025-08-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144826493","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":"Exploring the role of additives in modulating the electrochemical characteristics of NiCo2O4 electrode materials","authors":"T. Kavinkumar ,&nbsp;Sivasankaran Ayyaru ,&nbsp;Udayabhaskar Rednam ,&nbsp;Jagadeesh Kumar Alagarasan ,&nbsp;N. Chidhambaram ,&nbsp;N. Dineshbabu ,&nbsp;R.V. Mangalaraja ,&nbsp;Arun Thirumurugan","doi":"10.1016/j.nxener.2025.100393","DOIUrl":"10.1016/j.nxener.2025.100393","url":null,"abstract":"<div><div>In this study, NiCo₂O₄-based electrode materials (NiCo₂O₄-B, NiCo₂O₄-P, NiCo₂O₄-O, and NiCo₂O₄-E) were successfully synthesized using a facile chemical oxidation method, incorporating different additives such as polyvinylpyrrolidone (PVP), oleylamine, and ethylenediaminetetraacetic acid (EDTA). All samples exhibited hexagonal platelet morphology, with NiCo₂O₄-E showing a more porous structure. Electrochemical evaluation in a three-electrode system revealed battery-type behavior with prominent redox peaks. NiCo₂O₄-E delivered the highest specific capacitance of 2254 F/g at 1 mV/s, outperforming the other variants (NiCo₂O₄-B: 1201 F/g, NiCo₂O₄-P: 1529 F/g, NiCo₂O₄-O: 1606 F/g). GCD studies confirmed its high capacity of 700 C/g at 1 A/g. Transatti analysis indicated dominant inner-surface charge contribution (93.3%), and the material exhibited the highest active site density (9.76 × 10¹⁸). Although NiCo₂O₄-E retained 60% of its capacity after 5000 cycles, all samples showed nearly 100% coulombic efficiency. To evaluate practical applicability, a two-electrode solid-state asymmetric supercapacitor was fabricated using NiCo₂O₄-E as the positive electrode and activated carbon as the negative electrode. The device showed clear redox peaks in the CV profiles (0.0–1.5 V) and delivered stable GCD behavior up to 3 A/g. Notably, it retained 96% of its initial capacitance after 10,000 cycles at 3 A/g, with a consistent coulombic efficiency of 96%. Post-cycling EIS analysis confirmed improved charge transfer characteristics. These findings demonstrate that the EDTA-assisted NiCo₂O₄-E electrode exhibits excellent electrochemical performance and long-term cycling stability, making it a promising candidate for high-performance energy storage devices.</div></div>","PeriodicalId":100957,"journal":{"name":"Next Energy","volume":"9 ","pages":"Article 100393"},"PeriodicalIF":0.0,"publicationDate":"2025-08-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144826492","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":"Redox-active organic molecule encapsulated MWCNT catholyte for aqueous zinc flow battery","authors":"Priyanka P. Bavdane ,&nbsp;Vidhiben Dave ,&nbsp;Sooraj Sreenath ,&nbsp;Pooja Madiyan ,&nbsp;Rajaram K. Nagarale","doi":"10.1016/j.nxener.2025.100379","DOIUrl":"10.1016/j.nxener.2025.100379","url":null,"abstract":"<div><div>Rechargeable zinc-ion batteries show great promise for sustainable energy storage applications. Halogen cathodes are conventionally deployed for zinc-based flow batteries. However, poor solubility of polyhalide complexes during battery operation results in poor Coulombic efficiency and short cycle life. Recent research has focused on discovering new cathode materials. In this study, we explore the use of redox-active organic molecules (ROM), 7,7,8,8-tetracyanoquinodimethane (TCNQ), hydroquinone (HQ), and 2,2,6,6-tetramethylpiperidinyloxy (TEMPO) thermally encapsulated within multiwalled carbon nanotubes (MWCNT) as effective cathode materials for zinc flow battery. The encapsulation of redox-active molecules into MWCNT, that is, TCNQ@MWCNT, HQ@MWCNT, and TEMPO@MWCNT was confirmed through detailed spectroscopic and microscopic characterization. The electrochemical activity of materials was analyzed by cyclic voltammetry experiments. Three batteries were assembled; the anolyte solution contained aqueous zinc salt, while 5.0% dispersion of TCNQ@MWCNT/HQ@MWCNT/TEMPO@MWCNT in aqueous supporting electrolyte served as catholyte. Remarkably, all the assembled batteries demonstrated exceptional cycling stability and high Coulombic efficiencies at an applied current density of 1 mA cm⁻². The assembled batteries also achieved ∼90.0% capacity utilization of the theoretical capacity, which was 233.0, 225.2, and 129.4 mAh g⁻¹ for Zn/TCNQ@MWCNT, Zn/HQ@MWCNT, and Zn/TEMPO@MWCNT batteries, respectively. The availability of the materials used, along with the absence of hazardous, flammable, or volatile organic electrolytes, positions this approach as a superior choice for catholyte applications in zinc flow batteries (ZFBs).</div></div>","PeriodicalId":100957,"journal":{"name":"Next Energy","volume":"9 ","pages":"Article 100379"},"PeriodicalIF":0.0,"publicationDate":"2025-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144749172","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":"Optimizing diesel engine heterogeneous combustion performance and NOx emissions: A next energy perspective with AI","authors":"Aditya Kolakoti","doi":"10.1016/j.nxener.2025.100383","DOIUrl":"10.1016/j.nxener.2025.100383","url":null,"abstract":"<div><div>This study investigates experimental and artificial intelligence-based predictions of heterogeneous combustion performance in a diesel engine fueled with neat biodiesel. The combustion aspects, including cylinder pressures, heat energy developed and released, mass burnt fractions (MBF), mean gas temperatures (MGT), and the influence of combustion temperatures on NOx formation, are examined experimentally. The combustion results are trained in a feed-forward artificial neural network (ANN) algorithm for the predictions, and an error histogram with 20 bins helps identify the accuracy of the trained model. The prediction results of combustion parameters are recorded quite accurately for most instances, as the errors are centered around 0. The overall accuracy of the trained model is achieved with a high correlation coefficient (R = 0.99) and a low mean square error (MSE). In addition, the influence of combustion temperature on NO_x emissions is highlighted, and a correlation is developed with errors of 2.22% and 1.96% at 75% and 100% loads, respectively. Finally, biodiesel exhibits controlled diffusion combustion, achieving more sustained combustion, with 6.19% and 6.18% lower NO_x formation compared to diesel fuel at 75% and 100% loads.</div></div>","PeriodicalId":100957,"journal":{"name":"Next Energy","volume":"9 ","pages":"Article 100383"},"PeriodicalIF":0.0,"publicationDate":"2025-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144737989","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}