Next Energy最新文献

{"title":"Upcycling plastic waste into advanced carbon materials: A comprehensive review of applications in energy and environment","authors":"Mehmet Melikoglu","doi":"10.1016/j.nxener.2025.100429","DOIUrl":"10.1016/j.nxener.2025.100429","url":null,"abstract":"<div><div>This review highlights upcycling, a promising strategy transforming diverse plastic streams into high-value carbon-based materials. The escalating global accumulation of plastic waste, currently at over 400 million tonnes annually, demands a fundamental shift from a linear take-make-dispose model to a circular economy. The manuscript synthesizes advancements (2020–2025) in converting major plastic types: Polypropylene (PP), Polyethylene Terephthalate (PET), Polystyrene (PS), and Polyethylene (PE) into functional carbons like Graphene (GNs), Carbon Nanotubes (CNTs), Activated Carbons (ACs), Carbon Nanosheets (CNS), and Disordered Hard Carbon (HC). These materials show remarkable potential. In energy storage, they enhance supercapacitors and batteries. For catalysis, they serve as efficient electrocatalysts for the Hydrogen Evolution Reaction (HER), Oxygen Evolution Reaction (OER), and Oxygen Reduction Reaction (ORR), and aid in photocatalytic and Fenton-like degradation. They are also effective in environmental remediation via adsorption and electrochemical treatment and contribute to advanced material synthesis. Their integration into emerging technologies, including Perovskite Solar Cells (PSCs) and Triboelectric Nanogenerators (TENGs), expands their utility. Initial Life Cycle Assessment (LCA) studies confirm their environmental benefits, demonstrating reductions in climate change potential and human toxicity. Future research should prioritize precision material design, multi-functional hybrids (e.g., carbon integrated with metal oxides), and advanced in-situ characterization to understand structure-property relationships. Developing scalable, energy-efficient processes through techno-economic analysis and modeling is crucial. Diversifying applications and ensuring holistic sustainability via Social LCA (S-LCA) and policy frameworks will accelerate the transition to a sustainable-circular economy.</div></div>","PeriodicalId":100957,"journal":{"name":"Next Energy","volume":"9 ","pages":"Article 100429"},"PeriodicalIF":0.0,"publicationDate":"2025-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145104910","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":"3D-Printed OMFC-supercapacitor hybrids for sustainable energy recovery","authors":"Mandar S. Bhagat ,&nbsp;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":"2025-09-18","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}

{"title":"Photovoltaic performance of CsPbBr3-based perovskite solar cell with TiO2 and quaternary chalcogenide Cu2FeSnS4 as charge transport channels: Unlocking >26% efficiency via SCAPS-1D investigation","authors":"Eli Danladi ,&nbsp;Wadai Mutah ,&nbsp;Peverga R. Jubu ,&nbsp;Kehinde A. Ogunmoye ,&nbsp;Zakari L. Abubakar ,&nbsp;Dennis A. Bala ,&nbsp;Nicholas N. Tasie ,&nbsp;Adamu Idris ,&nbsp;Francis Aungwa ,&nbsp;Matthew I. Amanyi ,&nbsp;Eghwubare Akpoguma ,&nbsp;Ndinaobong I. Noah ,&nbsp;Fabian Ezema","doi":"10.1016/j.nxener.2025.100423","DOIUrl":"10.1016/j.nxener.2025.100423","url":null,"abstract":"<div><div>Cesium-based perovskite solar cells (PSCs) have received tremendous research interest in the domain of photovoltaic due their high stability and low cost, but their performances are challenged with low output when compared to their organic-inorganic halide counterpart. In this research work, the one-dimensional solar cell capacitance simulation (SCAPS-1D) tool was used to investigate the photovoltaic (PV) performance of cesium lead bromide (CsPbBr₃)-based PSC with different hole transport layers (HTLs), which include copper(I) thiocyanate (CuSCN), copper(I) iodide (CuI), magnesium-doped copper chromium oxide (Mg-CuCrO₂), copper (II) oxide (CuO), copper antimony sulfide (CuSbS₂), copper iron tin sulfide (CFTS), and copper barium tin sulfide (CBTS). The best device configuration was ITO/TiO₂/CsPbBr₃/CFTS/Au, which gave a power conversion efficiency (PCE) of 12.665%, fill factor (FF) of 80.435%, current density (<em>J</em>_sc) of 17.595 mA/cm², and photo voltage (<em>V</em>_oc) of 0.895 V. Further study was carried out on the optimized configuration by varying the thickness of electron transport layer (ETL), doping concentration of ETL and absorber, defect density of the absorber, thickness of absorber, and thickness of HTL to obtain 0.01 μm, 10²⁰ cm⁻³, 10¹² cm⁻³, 10¹⁴ cm⁻², 0.5 μm, and 1.2 μm as optimized values. After proper simulation with the optimized data, a PCE of 26.032%, FF of 81.006%, <em>J</em>_sc of 34.908 mA/cm², <em>V</em>_oc of 0.921 V were obtained with TiO₂ and CFTS as charge transport channels. This shows an enhancement of ∼2.06 times in PCE, ∼1.01 times in FF, ∼1.98 times in <em>J</em>_sc, and ∼1.03 times in <em>V</em>_oc over the unoptimized device. Additionally, the influence of temperature, metal work function, series resistance, and shunt resistance was also studied, and it was found that the rise in temperature causes a shift in the concentration of carriers, giving rise to high rate of recombination which also results in influence on the saturation current, while an increase in series resistance results in a decrease in the device performance, which is attributed to discoloration. Low shunt resistance, results in losses in device output by giving an alternative pathway that limits the flow of current. This simulation alongside the validated results shows the real potential of CsPbBr₃ absorber, creating a major research pathway for the PV industry to develop less expensive and high-performing devices.</div></div>","PeriodicalId":100957,"journal":{"name":"Next Energy","volume":"9 ","pages":"Article 100423"},"PeriodicalIF":0.0,"publicationDate":"2025-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145104908","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":"Great power rivalry in energy politics scholarship: A bibliometric and thematic analysis","authors":"Kawsar Uddin Mahmud,&nbsp;Mohammad Tanzimuddin Khan","doi":"10.1016/j.nxener.2025.100422","DOIUrl":"10.1016/j.nxener.2025.100422","url":null,"abstract":"<div><div>The study of “energy politics” is considered one of the rapidly growing subfields of International Relations (IR) and International Political Economy (IPE). The convergence of state policies and geopolitical factors has consistently shaped the domain. “Energy”, as a unitary influencing factor, has long been at the heart of geopolitical strategy, as seen in the 1973 oil embargo and continuing disputes about acquiring natural gas by the great powers such as the US, Russia, and China. Now, with the international push for sustainability, countries are competing not only for fossil fuel reserves but also for domination in renewable technologies. Given the dynamics, this research explores the field’s paradigmatic evolution of the study area of “energy politics”, focusing on “political and geopolitical dynamics” that influenced the intellectual evolution of the scholarship. Applying a mixed-method approach (bibliometric quantitative analysis and thematic qualitative analysis), the findings of the bibliometric study—which analyzed 1567 peer-reviewed articles published from 2001 to 2024—yielded not only a comprehensive perspective on the evolution of energy politics research but also key insights into the future development in this area. Further thematic discussion also shows the great power rivalry between the US and China in this knowledge production arena. This paper concludes with the central argument that even beyond the great power competition in the economy and military realms between the two powers, they also compete in the knowledge-production arena, like the energy sector, to generate discourses and knowledge in favor of their hegemony.</div></div>","PeriodicalId":100957,"journal":{"name":"Next Energy","volume":"9 ","pages":"Article 100422"},"PeriodicalIF":0.0,"publicationDate":"2025-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145105042","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":"Enhancements in the production of 5-HMF from glucose: A review on recent advances in heterogeneous catalysts and solvent effects","authors":"Julie Baruah ,&nbsp;Upasana Medhi ,&nbsp;Bikash K. Nath ,&nbsp;Ramesh C. Deka ,&nbsp;Eeshan Kalita","doi":"10.1016/j.nxener.2025.100420","DOIUrl":"10.1016/j.nxener.2025.100420","url":null,"abstract":"<div><div>The HMF or 5-hydroxymethylfurural is a crucial platform chemical classified as a \"drop-in biofuel.\" HMF synthesis procedures have experienced notable advancements in recent years, including the shift from homogeneous to heterogeneous catalysts, the substitution of aqueous solutions with organic phases, and the adoption of biphasic systems to mitigate limitations caused by side reactions, among other innovations. Nonetheless, achieving a balance among selectivity, cost, energy consumption, and environmental impact in the production of HMF from economical glucose-derived substrates presents a formidable challenge. Various strategies have been developed over the past decade to address these issues. This review provides a current overview of recent advancements in solvent types and heterogeneous catalysts, including zeolites, metal oxides, carbonaceous and silica-based materials, heteropolyacids, and polymer-based systems. In addition, the reaction mechanisms of established solid catalysts employed to enhance HMF production are detailed.</div></div>","PeriodicalId":100957,"journal":{"name":"Next Energy","volume":"9 ","pages":"Article 100420"},"PeriodicalIF":0.0,"publicationDate":"2025-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145104909","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 and sodium ion diffusion in LiFePO₄, LLZO, and NASICON: A molecular dynamics and machine learning study","authors":"Nour El Haq El Macouti ,&nbsp;Mohamed El bouanounou ,&nbsp;Abdelmajid Assila ,&nbsp;El-Kebir Hlil ,&nbsp;Yahia Boughaleb ,&nbsp;Abdelowahed Hajjaji ,&nbsp;Said Laasri","doi":"10.1016/j.nxener.2025.100428","DOIUrl":"10.1016/j.nxener.2025.100428","url":null,"abstract":"<div><div>Next-generation lithium- and sodium-ion battery development relies on solid-state electrolytes, offering enhanced safety, thermal stability, and high energy density. This research uses molecular dynamics (MD) simulations and machine learning (ML) to study ion diffusion in LiFePO₄, Li₇La₃Zr₂O₁₂ (LLZO), and Na₃Zr₂Si₂PO₁₂ (NASICON). MD simulations calculated 300 K diffusion coefficients (D) of 9.18 × 10⁻¹¹ m²/s for LiFePO₄, 4.00 × 10⁻¹² m²/s for LLZO, and 6.77 × 10⁻¹¹ m²/s for NASICON, with activation energies of 0.34 eV, 0.35 eV, and 0.31 eV, aligning with experimental ranges, though validation is limited and less accurate for LLZO due to a 2-order magnitude deviation. The ML model, trained on OBELiX data with temperature augmentation, systematically underpredicts diffusion coefficients (e.g., 3.84 × 10⁻¹¹ m²/s for LiFePO₄ vs. 9.18 × 10⁻¹¹ m²/s MD), likely due to overestimated ion densities. Despite a high R² of 0.996, the model indicates opportunities for further refinement. Our comparative evaluation demonstrates that sodium ion movement through NASICON frameworks exhibits similar characteristics to lithium-ion mobility within both olivine and garnet crystal structures. Our research results expand the current understanding of ion mobility pathways and provide numerical reference points that can guide future material refinement approaches and data-driven computational design of advanced solid electrolyte battery technologies.</div></div>","PeriodicalId":100957,"journal":{"name":"Next Energy","volume":"9 ","pages":"Article 100428"},"PeriodicalIF":0.0,"publicationDate":"2025-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145104905","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":"Dynamic mode decomposition for modeling the UI dependence in fuel cells","authors":"Rima Mesaud,&nbsp;Fatima Boui,&nbsp;Peter Dannenmann,&nbsp;Birgit Scheppat,&nbsp;Edeltraud Gehrig","doi":"10.1016/j.nxener.2025.100419","DOIUrl":"10.1016/j.nxener.2025.100419","url":null,"abstract":"<div><div>Modeling and prediction of fuel cell dynamics is a challenging task and has recently gained importance. However, the underlying physical processes are often complex, and the dynamics is determined by a large number of parameters that are not completely known. We present results of a model based on dynamic mode decomposition (DMD) for proton exchange membrane fuel cells (PEMFC). Our simulation results show that the proposed prognostic strategy on the basis of DMD allows both confirmation of experimental observations and prediction of future behavior. In particular, the transition to a regime characterized by degradation can be monitored and recognized in advance.</div></div>","PeriodicalId":100957,"journal":{"name":"Next Energy","volume":"9 ","pages":"Article 100419"},"PeriodicalIF":0.0,"publicationDate":"2025-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145104906","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":"MXene-nanoflower composites as high-performance electrode materials toward solid-state lithium-ion batteries","authors":"Savan K. Raj ,&nbsp;Khushbu Sharma ,&nbsp;Vartika Sharma ,&nbsp;Takayuki Ichikawa ,&nbsp;Ankur Jain ,&nbsp;Vaibhav Kulshrestha","doi":"10.1016/j.nxener.2025.100421","DOIUrl":"10.1016/j.nxener.2025.100421","url":null,"abstract":"<div><div>The design and synthesis of a silicon-integrated MXene-based nanoflower (Si@NFs) architecture using a simple hydrothermal method and thermal treatment are reported in this study. The resulting hierarchical structure creates a multidimensional conductive network by fusing the superior conductivity and mechanical stability of MXenes with the high capacity of nanosilicon. Due to effective ion transport, interfacial contact, and volume expansion buffering, Si@NFs exhibit better cycling stability, as demonstrated by structural and electrochemical characterisation. The strong interface and structural integrity of the nanoflowers indicate high promise for future integration into all-solid-state lithium-ion battery systems, even though solid-state electrolytes are not directly incorporated in this study.</div></div>","PeriodicalId":100957,"journal":{"name":"Next Energy","volume":"9 ","pages":"Article 100421"},"PeriodicalIF":0.0,"publicationDate":"2025-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145105044","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":"Fault diagnosis of air conditioning compressor bearings using wavelet packet decomposition and improved 1D-CNN","authors":"Anping Wan ,&nbsp;Pengchong Li ,&nbsp;Khalil AL-Bukhaiti ,&nbsp;Xiaomin Cheng ,&nbsp;Xiaosheng Ji ,&nbsp;Jinglin Wang ,&nbsp;Tianmin Shan","doi":"10.1016/j.nxener.2025.100424","DOIUrl":"10.1016/j.nxener.2025.100424","url":null,"abstract":"<div><div>This paper presents an innovative fault diagnosis method for air conditioning compressor rolling bearings, employing acoustic signals through a tailored integration of wavelet packet decomposition (WPD) and an advanced one-dimensional convolutional neural network (1D-CNN). Traditional methods typically rely on vibration signals and contact sensors, which are often impractical for compressor bearings. Despite their weakness and noise susceptibility, the study leverages acoustic signals as a noncontact alternative. The paper utilizes WPD to extract multiresolution features from acoustic signals to tackle these challenges, effectively capturing subtle fault signatures across frequency bands. These features are processed by an improved 1D-CNN, optimized with an attention mechanism, residual networks, and domain adaptive learning, achieving 100% recognition accuracy on original signals and 95.49% under a −10 dB signal-to-noise ratio (SNR), compared to 81.6% for the baseline 1D-CNN (a 13.89% improvement). This approach outperforms alternative methods, with WPD and the improved 1D-CNN yielding up to 3.2% higher accuracy than empirical mode decomposition (EMD), variational mode decomposition (VMD), and fast multiscale decomposition (FMD) on original signals and maintaining robustness in noisy conditions where these methods falter. By exceeding the performance of alternative feature extraction methods like VMD, EMD, and FMD, particularly in adverse environments, the study provides a robust and adaptable solution for reliable bearing fault diagnosis, facilitating preventive maintenance and enhancing system longevity.</div></div>","PeriodicalId":100957,"journal":{"name":"Next Energy","volume":"9 ","pages":"Article 100424"},"PeriodicalIF":0.0,"publicationDate":"2025-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145104907","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":"Techno-economic analysis and dynamic operation of green hydrogen-integrated microgrid: An application study","authors":"Jordan Isaac ,&nbsp;Ahmed M.A. Haidar ,&nbsp;M.F.M. Sabri ,&nbsp;M.O. Abdullah","doi":"10.1016/j.nxener.2025.100418","DOIUrl":"10.1016/j.nxener.2025.100418","url":null,"abstract":"<div><div>The shift to renewable energy sources requires systems that are not only environmentally sustainable but also cost-effective and reliable. Mitigating the inherent intermittency of renewable energy, optimally managing the hybrid energy storage, efficiently integrating the microgrid with the power grid, and maximizing the lifespan of system components are the significant challenges that need to be addressed. With this aim, the paper proposes an economic viability assessment framework with an optimized dynamic operation approach to determine the most stable, cost-effective, and environmentally sound system for a specific location and demand. The green integrated hybrid microgrid combines photovoltaic (PV) generation, battery storage, an electrolyzer, a hydrogen tank, and a fuel cell, tailored for deployment in remote areas with limited access to conventional infrastructure. The study’s control strategy focuses on managing energy flows between the renewable energy resources, battery, and hydrogen storage systems to maximize autonomy, considering real-time changes in weather conditions, load variations, and the state of charge of both the battery and hydrogen storage units. The core system’s components include the interlinking converter, which transfers power between AC and DC grids, and the decentralized droop control approach, which adjusts the converter’s output to ensure balanced and efficient power sharing, particularly during overload conditions. A cloud-based Internet of Things (IoT) platform has been employed, allowing continuous monitoring and data analysis of the green integrated microgrid to provide insights into the system's health and performance during the dynamic operation. The results presented in this paper confirmed that the proposed framework enabled the strategic use of energy storage, particularly hydrogen systems. The optimal operational control of green hydrogen-integrated microgrid can indeed mitigate voltage and frequency fluctuations caused by variable solar input, ensuring stable power delivery without reliance on the main grid or fossil fuel backups.</div></div>","PeriodicalId":100957,"journal":{"name":"Next Energy","volume":"9 ","pages":"Article 100418"},"PeriodicalIF":0.0,"publicationDate":"2025-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145105045","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}