Perovskite solar cells (PSCs) combine outstanding optoelectronic properties with low fabrication cost, with methylammonium lead bromide (CH₃NH₃PbBr₃) offering superior thermal stability, a 2.2 eV band gap, and a high absorption coefficient (10⁵–10⁶ cm⁻¹). This study employs SCAPS-1D simulations under AM1.5 G illumination to analyze an FTO/BaTiO₃/CH₃NH₃PbBr₃/Cu₂O/Ni device, achieving a 17.00% power conversion efficiency (PCE), 1.8515 V open-circuit voltage (VOC), 9.923 mA cm⁻² short-circuit current density (JSC), and 92.51% fill factor (FF), enabled by optimal band alignment and reduced recombination. Quantum efficiency (QE) reached ∼100% in the visible range, confirming strong light-harvesting. Parametric optimization identified optimal operation at 300 K with a shunt resistance of 10⁵ Ω·cm². Machine learning (ML) models; artificial neural networks (ANN) and k-nearest neighbors (k-NN) were applied to assess the influence of material properties on device performance. The results offer guidelines for fabricating cost-effective, high-performance Pb–based PSCs and reinforce CH₃NH₃PbBr₃’s role as a benchmark absorber for device optimization.
{"title":"Simulation, optimization, and machine learning strategies for CH₃NH₃PbBr₃ perovskite solar cells","authors":"Safikur Rahman Fahim , Md. Shamim Sarker , Mahzabin Islam Piya , Jubaer Ahamed Bhuiyan , Hayati Mamur , Mohammad Ruhul Amin Bhuiyan","doi":"10.1016/j.nxener.2025.100491","DOIUrl":"10.1016/j.nxener.2025.100491","url":null,"abstract":"<div><div>Perovskite solar cells (PSCs) combine outstanding optoelectronic properties with low fabrication cost, with methylammonium lead bromide (CH₃NH₃PbBr₃) offering superior thermal stability, a 2.2 eV band gap, and a high absorption coefficient (10⁵–10⁶ cm⁻¹). This study employs SCAPS-1D simulations under AM1.5 G illumination to analyze an FTO/BaTiO₃/CH₃NH₃PbBr₃/Cu₂O/Ni device, achieving a 17.00% power conversion efficiency (PCE), 1.8515 V open-circuit voltage (V<sub>OC</sub>), 9.923 mA cm⁻² short-circuit current density (J<sub>SC</sub>), and 92.51% fill factor (FF), enabled by optimal band alignment and reduced recombination. Quantum efficiency (QE) reached ∼100% in the visible range, confirming strong light-harvesting. Parametric optimization identified optimal operation at 300 K with a shunt resistance of 10⁵ Ω·cm². Machine learning (ML) models; artificial neural networks (ANN) and k-nearest neighbors (k-NN) were applied to assess the influence of material properties on device performance. The results offer guidelines for fabricating cost-effective, high-performance Pb–based PSCs and reinforce CH₃NH₃PbBr₃’s role as a benchmark absorber for device optimization.</div></div>","PeriodicalId":100957,"journal":{"name":"Next Energy","volume":"10 ","pages":"Article 100491"},"PeriodicalIF":0.0,"publicationDate":"2025-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145684606","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}
Pub Date : 2025-12-01DOI: 10.1016/j.nxener.2025.100480
Pedro Arcelus-Arrillaga , Ahmad Rafizan Mohamad Daud , Klaus Hellgardt , Marcos Millan
Polyaromatic hydrocarbons (PAH) are present in several industrially relevant streams, including light cycle oil, coal- and bio-derived oils, high-temperature gasification tars, and asphaltenic oils, posing processing challenges due to coke formation and low conversion to valuable products with conventional technologies. This study focuses on oxidative cracking of model compound phenanthrene in supercritical water (SCW) at low oxidant concentration as a route to produce chemicals of industrial interest from PAHs. While some studies have dealt with PAH SCW oxidation, these were carried out in large oxygen excess, aiming to eliminate PAHs through complete oxidation. This work shows that phenanthrene underwent fast oxidation promoted by reactive oxygen species (ROS) from H2O2 decomposition, but its conversion leveled off once ROS were consumed. However, the oxygenated species formed continued reacting in SCW over longer timescales. A reaction pathway is proposed based on the evolution of the main intermediate compounds with time and temperature. Anthraquinone was the main product at early reaction stages, with 0 min selectivity above 65% at all temperatures. It further reacted to form xanthone and fluorenone as main intermediates, reaching selectivity of up to 35% and 32% respectively. At later reaction stages, higher selectivity of up to 31% and 34% towards dibenzofuran or fluorene, respectively, indicates in-situ deoxygenation of intermediate products. This pathway showed differences with those measured under large oxygen excess, as oxidation starts in central positions and further reactions lead to a range of products with progressively less oxygen as well as a hydrogen-rich gas, while coke yields remain low.
{"title":"Oxidative cracking of phenanthrene as polycyclic aromatic hydrocarbon model in supercritical water: Reaction pathways at low oxidant concentration","authors":"Pedro Arcelus-Arrillaga , Ahmad Rafizan Mohamad Daud , Klaus Hellgardt , Marcos Millan","doi":"10.1016/j.nxener.2025.100480","DOIUrl":"10.1016/j.nxener.2025.100480","url":null,"abstract":"<div><div>Polyaromatic hydrocarbons (PAH) are present in several industrially relevant streams, including light cycle oil, coal- and bio-derived oils, high-temperature gasification tars, and asphaltenic oils, posing processing challenges due to coke formation and low conversion to valuable products with conventional technologies. This study focuses on oxidative cracking of model compound phenanthrene in supercritical water (SCW) at low oxidant concentration as a route to produce chemicals of industrial interest from PAHs. While some studies have dealt with PAH SCW oxidation, these were carried out in large oxygen excess, aiming to eliminate PAHs through complete oxidation. This work shows that phenanthrene underwent fast oxidation promoted by reactive oxygen species (ROS) from H<sub>2</sub>O<sub>2</sub> decomposition, but its conversion leveled off once ROS were consumed. However, the oxygenated species formed continued reacting in SCW over longer timescales. A reaction pathway is proposed based on the evolution of the main intermediate compounds with time and temperature. Anthraquinone was the main product at early reaction stages, with 0 min selectivity above 65% at all temperatures. It further reacted to form xanthone and fluorenone as main intermediates, reaching selectivity of up to 35% and 32% respectively. At later reaction stages, higher selectivity of up to 31% and 34% towards dibenzofuran or fluorene, respectively, indicates in-situ deoxygenation of intermediate products. This pathway showed differences with those measured under large oxygen excess, as oxidation starts in central positions and further reactions lead to a range of products with progressively less oxygen as well as a hydrogen-rich gas, while coke yields remain low.</div></div>","PeriodicalId":100957,"journal":{"name":"Next Energy","volume":"10 ","pages":"Article 100480"},"PeriodicalIF":0.0,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145684608","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}
Pub Date : 2025-12-01DOI: 10.1016/j.nxener.2025.100484
Simo Pekkinen , Mikko Muoniovaara , Eira Seppälä , Pekka Pirhonen , Mikael Rinne , Annukka Santasalo-Aarnio
The decarbonization of industrial processes will require large quantities of green hydrogen produced with renewable energy. The use of variable renewable energy for hydrogen production will, in turn, necessitate large-scale hydrogen storage to ensure the constant availability of hydrogen. In existing energy models, hydrogen storage is typically included as a ‘black box’ unit that simplifies the behavior of hydrogen during the operation of a storage cycle. In this study, a high-fidelity hydrogen gas storage model is developed. The model considers the behavior of hydrogen as a real gas during storage operations, a defining advancement compared to previous studies, and utilizes hourly data sets of renewable energy production. The model is first demonstrated on a baseline case located in Finland, where 121 MW of wind power capacity supplies an annual hydrogen demand of 6000 tonnes, mandating a hydrogen storage capacity of 575 tonnes. Next, a sensitivity analysis reveals that increasing wind power capacity or adding solar power to the energy mix decreases the storage requirement significantly. On the other hand, increasing the minimum storage pressure or reducing the electrolyzer capacity both increase the required storage capacity. Finally, the baseline case was used to compare storage technologies available in the Finnish context, and lined rock caverns were found to be the most cost-efficient option with a reasonable storage volume. Overall, the study concludes that significant storage capacities and thus investments are required for the industrial utilization of green hydrogen. Therefore, it is essential that the behavior of hydrogen as a real gas is considered when sizing storage systems.
{"title":"Hydrogen storage model for decarbonization of constant industrial processes","authors":"Simo Pekkinen , Mikko Muoniovaara , Eira Seppälä , Pekka Pirhonen , Mikael Rinne , Annukka Santasalo-Aarnio","doi":"10.1016/j.nxener.2025.100484","DOIUrl":"10.1016/j.nxener.2025.100484","url":null,"abstract":"<div><div>The decarbonization of industrial processes will require large quantities of green hydrogen produced with renewable energy. The use of variable renewable energy for hydrogen production will, in turn, necessitate large-scale hydrogen storage to ensure the constant availability of hydrogen. In existing energy models, hydrogen storage is typically included as a ‘black box’ unit that simplifies the behavior of hydrogen during the operation of a storage cycle. In this study, a high-fidelity hydrogen gas storage model is developed. The model considers the behavior of hydrogen as a real gas during storage operations, a defining advancement compared to previous studies, and utilizes hourly data sets of renewable energy production. The model is first demonstrated on a baseline case located in Finland, where 121 MW of wind power capacity supplies an annual hydrogen demand of 6000 tonnes, mandating a hydrogen storage capacity of 575 tonnes. Next, a sensitivity analysis reveals that increasing wind power capacity or adding solar power to the energy mix decreases the storage requirement significantly. On the other hand, increasing the minimum storage pressure or reducing the electrolyzer capacity both increase the required storage capacity. Finally, the baseline case was used to compare storage technologies available in the Finnish context, and lined rock caverns were found to be the most cost-efficient option with a reasonable storage volume. Overall, the study concludes that significant storage capacities and thus investments are required for the industrial utilization of green hydrogen. Therefore, it is essential that the behavior of hydrogen as a real gas is considered when sizing storage systems.</div></div>","PeriodicalId":100957,"journal":{"name":"Next Energy","volume":"10 ","pages":"Article 100484"},"PeriodicalIF":0.0,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145684607","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}
Pub Date : 2025-11-29DOI: 10.1016/j.nxener.2025.100485
Aparajita Roy , Sonu Kumar , Amit Kumar , Akio Ebihara , Chin Tsan Wang , Vimal Katiyar
Benthic plant microbial fuel cells (BPMFCs) represent an innovative, sustainable technology that effectively integrates plant photosynthesis with microbial electroactivity, facilitating the generation of renewable electricity alongside the remediation of organic waste. This study offers a critical analysis of the latest developments in BPMFC technology, focussing on 4 essential aspects: (1) novel bio-based electrode materials including functionalised conductive polymer composites, nanomaterial hybrids that enhance electron transfer (ET) efficiency; (2) advanced metagenomic and transcriptomic studies elucidating the electroactive microbial consortia and their unique extracellular ET mechanisms in both rhizosphere and BPMFC configurations; (3) the application of genetically modified plants with enhanced root exudation profiles, increasing power output; (4) innovative remote monitoring systems for BPMFCs employing IoT-enabled wireless sensor networks and long range wide area network technology ensuring reliable voltage measurement transmission from distant locations with minimal signal loss. The review rigorously analyses life cycle assessment studies that substantiate the environmental advantages of PMFCs, especially their carbon-negative potential when combined with wastewater treatment. Even with these advancements, there are still considerable obstacles to overcome in scaling BPMFC technology, such as concerns regarding system durability and questions about economic feasibility. A comprehensive roadmap is provided that integrates artificial intelligence-optimized material design, synthetic microbial community engineering, improved monitoring systems, and circular economy concepts to facilitate the transition from laboratory-scale prototypes to real-world applications. This analysis highlights the promise of BPMFCs as distributed renewable energy systems, particularly in agricultural and aquatic environments, while delineating critical research avenues to tackle existing commercialization obstacles.
{"title":"Bioinspired electrodes and microbiome synergy: Driving next-generation green energy in benthic plant microbial fuel cells – A comprehensive review","authors":"Aparajita Roy , Sonu Kumar , Amit Kumar , Akio Ebihara , Chin Tsan Wang , Vimal Katiyar","doi":"10.1016/j.nxener.2025.100485","DOIUrl":"10.1016/j.nxener.2025.100485","url":null,"abstract":"<div><div>Benthic plant microbial fuel cells (BPMFCs) represent an innovative, sustainable technology that effectively integrates plant photosynthesis with microbial electroactivity, facilitating the generation of renewable electricity alongside the remediation of organic waste. This study offers a critical analysis of the latest developments in BPMFC technology, focussing on 4 essential aspects: (1) novel bio-based electrode materials including functionalised conductive polymer composites, nanomaterial hybrids that enhance electron transfer (ET) efficiency; (2) advanced metagenomic and transcriptomic studies elucidating the electroactive microbial consortia and their unique extracellular ET mechanisms in both rhizosphere and BPMFC configurations; (3) the application of genetically modified plants with enhanced root exudation profiles, increasing power output; (4) innovative remote monitoring systems for BPMFCs employing IoT-enabled wireless sensor networks and long range wide area network technology ensuring reliable voltage measurement transmission from distant locations with minimal signal loss. The review rigorously analyses life cycle assessment studies that substantiate the environmental advantages of PMFCs, especially their carbon-negative potential when combined with wastewater treatment. Even with these advancements, there are still considerable obstacles to overcome in scaling BPMFC technology, such as concerns regarding system durability and questions about economic feasibility. A comprehensive roadmap is provided that integrates artificial intelligence-optimized material design, synthetic microbial community engineering, improved monitoring systems, and circular economy concepts to facilitate the transition from laboratory-scale prototypes to real-world applications. This analysis highlights the promise of BPMFCs as distributed renewable energy systems, particularly in agricultural and aquatic environments, while delineating critical research avenues to tackle existing commercialization obstacles.</div></div>","PeriodicalId":100957,"journal":{"name":"Next Energy","volume":"10 ","pages":"Article 100485"},"PeriodicalIF":0.0,"publicationDate":"2025-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145617895","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}
Pub Date : 2025-11-26DOI: 10.1016/j.nxener.2025.100483
Tianduoyi Wang , Juntai Shi , Zhenbin Xu , Beichen Zhao , Keliu Wu
Underground coal gasification (UCG) is a crucial innovation for clean coal development and large-scale hydrogen production. Water influx affects gasification and gas quality, but managing it remains challenging due to the complex interactions of various processes. This paper presents a UCG water influx management framework that integrates water influx prediction, gasification safety assessment, and optimal water injection design. A prediction model combining convolutional neural networks (CNN), bidirectional long short-term memory networks (BiLSTM), the attention mechanism, and support vector machines (SVM) is proposed for water influx prediction. New safety assessment criteria for gasification site selection and an optimization model for water injection volume are established, considering the dynamic water influx effect. The results show that the CNN-BiLSTM-Attention-SVM model achieves the highest prediction accuracy compared with CNN-BiLSTM-Attention, CNN-BiLSTM-SVM, CNN-SVM, and SVM models. Taking the X experimental area in Xinjiang's Santanghu Basin, China, as an example, the dynamic water influx during gasification is below the upper limit, indicating its suitability for gasification. When the gasification water demand is 0.8 m³ per ton of coal, the optimal strategy is no injection in the initial stage and 121.68 m³/d in the steady stage. Hydrodynamics indicates that a gradual and slow pressure-drop scheme could benefit the hydrogen production in the initial stage of gasification. This study provides theoretical support for the selection of UCG sites and the optimization of injection schemes.
{"title":"Prediction-assessment-optimization of water influx in underground coal gasification: A systematic method","authors":"Tianduoyi Wang , Juntai Shi , Zhenbin Xu , Beichen Zhao , Keliu Wu","doi":"10.1016/j.nxener.2025.100483","DOIUrl":"10.1016/j.nxener.2025.100483","url":null,"abstract":"<div><div>Underground coal gasification (UCG) is a crucial innovation for clean coal development and large-scale hydrogen production. Water influx affects gasification and gas quality, but managing it remains challenging due to the complex interactions of various processes. This paper presents a UCG water influx management framework that integrates water influx prediction, gasification safety assessment, and optimal water injection design. A prediction model combining convolutional neural networks (CNN), bidirectional long short-term memory networks (BiLSTM), the attention mechanism, and support vector machines (SVM) is proposed for water influx prediction. New safety assessment criteria for gasification site selection and an optimization model for water injection volume are established, considering the dynamic water influx effect. The results show that the CNN-BiLSTM-Attention-SVM model achieves the highest prediction accuracy compared with CNN-BiLSTM-Attention, CNN-BiLSTM-SVM, CNN-SVM, and SVM models. Taking the X experimental area in Xinjiang's Santanghu Basin, China, as an example, the dynamic water influx during gasification is below the upper limit, indicating its suitability for gasification. When the gasification water demand is 0.8 m³ per ton of coal, the optimal strategy is no injection in the initial stage and 121.68 m³/d in the steady stage. Hydrodynamics indicates that a gradual and slow pressure-drop scheme could benefit the hydrogen production in the initial stage of gasification. This study provides theoretical support for the selection of UCG sites and the optimization of injection schemes.</div></div>","PeriodicalId":100957,"journal":{"name":"Next Energy","volume":"10 ","pages":"Article 100483"},"PeriodicalIF":0.0,"publicationDate":"2025-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145617893","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}
Pub Date : 2025-11-25DOI: 10.1016/j.nxener.2025.100482
Asli Tiktas , Arif Hepbasli
A comprehensive analysis of geothermal heat pumps (GHPs) was conducted, emphasizing their technoeconomic, exergoeconomic, and environmental aspects apart from previous literature studies. A thorough, extended literature review was performed to identify the latest trends, challenges, and innovations in GHP technology. This study's novelty is in its multifaceted evaluation of GHP systems, integrating exergoeconomic analysis with a broader environmental impact assessment, an area largely underexplored in previous research. Significant improvements in system performance were observed through incorporating additional heat sources like wind turbines, solar thermal panels, and organic Rankine cycle systems. These integrations resulted in notable enhancements in performance efficiency (COP), heating load production, and overall seasonal efficiency, with COP increases of up to 56.92% and heating load improvements of up to 77.8%. Moreover, the environmental impact of hybrid systems was reduced, with substantial decreases in emissions and other pollutants. A novel modified bibliometric analysis was also developed, revealing gaps in the literature, particularly in the need for advanced exergy analysis and the optimization of hybrid GHP systems for various geographic regions. Interest in GHP research has significantly increased over the past decade. Despite these advances, challenges remain in addressing installation costs, system complexity, and efficiency variations across different climates. This study introduces unique recommendations for optimizing hybrid configurations, reducing installation costs, improving energy storage, and developing adaptive control systems—all of which represent significant contributions to the field.
{"title":"A key review of geothermal heat pumps: Exergoeconomic and environmental aspects with prospects for further development","authors":"Asli Tiktas , Arif Hepbasli","doi":"10.1016/j.nxener.2025.100482","DOIUrl":"10.1016/j.nxener.2025.100482","url":null,"abstract":"<div><div>A comprehensive analysis of geothermal heat pumps (GHPs) was conducted, emphasizing their technoeconomic, exergoeconomic, and environmental aspects apart from previous literature studies. A thorough, extended literature review was performed to identify the latest trends, challenges, and innovations in GHP technology. This study's novelty is in its multifaceted evaluation of GHP systems, integrating exergoeconomic analysis with a broader environmental impact assessment, an area largely underexplored in previous research. Significant improvements in system performance were observed through incorporating additional heat sources like wind turbines, solar thermal panels, and organic Rankine cycle systems. These integrations resulted in notable enhancements in performance efficiency (COP), heating load production, and overall seasonal efficiency, with COP increases of up to 56.92% and heating load improvements of up to 77.8%. Moreover, the environmental impact of hybrid systems was reduced, with substantial decreases in <span><math><mrow><mi>C</mi><msub><mrow><mi>O</mi></mrow><mrow><mn>2</mn></mrow></msub></mrow></math></span> emissions and other pollutants. A novel modified bibliometric analysis was also developed, revealing gaps in the literature, particularly in the need for advanced exergy analysis and the optimization of hybrid GHP systems for various geographic regions. Interest in GHP research has significantly increased over the past decade. Despite these advances, challenges remain in addressing installation costs, system complexity, and efficiency variations across different climates. This study introduces unique recommendations for optimizing hybrid configurations, reducing installation costs, improving energy storage, and developing adaptive control systems—all of which represent significant contributions to the field.</div></div>","PeriodicalId":100957,"journal":{"name":"Next Energy","volume":"10 ","pages":"Article 100482"},"PeriodicalIF":0.0,"publicationDate":"2025-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145617896","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}
Pub Date : 2025-11-18DOI: 10.1016/j.nxener.2025.100478
Mohammad Muhtasim Mashfy , Tamzeed Ahmed Alvy , Nazmul Hossain , Md Azazul Haque , Fatima Tasneem Mohsin , Tasnuva Sharmin , Mohammad Nasim
Sodium-ion batteries (SIBs) are being actively investigated as a potentially viable and more sustainable alternative to lithium-ion batteries (LIBs), driven by concerns over lithium resource scarcity, high production costs, and environmentally challenging extraction methods. While LIBs dominate applications in consumer electronics and electric vehicles due to their superior energy density and maturity, SIBs offer notable advantages, such as using earth-abundant and low-cost elements like sodium and aluminum. Despite current limitations in energy density and cycle life, ongoing research in electrode materials and cell design has yielded encouraging progress in enhancing the electrochemical performance and safety profile of SIBs. In particular, their improved thermal stability offers potential benefits for stationary energy storage applications where safety is critical. The development of SIBs aligns with global Sustainable Development Goals (SDGs), particularly SDG 7 (Affordable and Clean Energy) and SDG 13 (Climate Action), by promoting safer and potentially lower-cost energy storage technologies. Continued advancements in material innovation, system integration, and end-of-life recycling will be key to the commercial competitiveness of SIBs. This review emphasizes the potential of SIBs as a viable alternative to LIBs by integrating electrochemical, economic, and environmental perspectives amid growing concerns over lithium supply and cost. For sustainable energy solutions and provides valuable insights into the current state of SIB research, offering a roadmap for future developments in this field.
{"title":"Sodium ion batteries: A sustainable alternative to lithium-ion batteries with an overview of market trends, recycling, and battery chemistry","authors":"Mohammad Muhtasim Mashfy , Tamzeed Ahmed Alvy , Nazmul Hossain , Md Azazul Haque , Fatima Tasneem Mohsin , Tasnuva Sharmin , Mohammad Nasim","doi":"10.1016/j.nxener.2025.100478","DOIUrl":"10.1016/j.nxener.2025.100478","url":null,"abstract":"<div><div>Sodium-ion batteries (SIBs) are being actively investigated as a potentially viable and more sustainable alternative to lithium-ion batteries (LIBs), driven by concerns over lithium resource scarcity, high production costs, and environmentally challenging extraction methods. While LIBs dominate applications in consumer electronics and electric vehicles due to their superior energy density and maturity, SIBs offer notable advantages, such as using earth-abundant and low-cost elements like sodium and aluminum. Despite current limitations in energy density and cycle life, ongoing research in electrode materials and cell design has yielded encouraging progress in enhancing the electrochemical performance and safety profile of SIBs. In particular, their improved thermal stability offers potential benefits for stationary energy storage applications where safety is critical. The development of SIBs aligns with global Sustainable Development Goals (SDGs), particularly SDG 7 (Affordable and Clean Energy) and SDG 13 (Climate Action), by promoting safer and potentially lower-cost energy storage technologies. Continued advancements in material innovation, system integration, and end-of-life recycling will be key to the commercial competitiveness of SIBs. This review emphasizes the potential of SIBs as a viable alternative to LIBs by integrating electrochemical, economic, and environmental perspectives amid growing concerns over lithium supply and cost. For sustainable energy solutions and provides valuable insights into the current state of SIB research, offering a roadmap for future developments in this field.</div></div>","PeriodicalId":100957,"journal":{"name":"Next Energy","volume":"10 ","pages":"Article 100478"},"PeriodicalIF":0.0,"publicationDate":"2025-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145571806","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}
Pub Date : 2025-11-14DOI: 10.1016/j.nxener.2025.100474
Uzair Jamil , Joshua M. Pearce
While colocation of solar photovoltaic (PV) and strawberry cultivation has shown promise, the impact of different types of illumination on plant growth remains uncertain. To provide information to strawberry agrivoltaic system designers, this study performs a comparative analysis of strawberry cultivation under 1) uniform illumination provided by thin-film cadmium telluride (Cd-Te) with 30%, 40% and 70% transparent PV modules and 2) non-uniform semitransparent crystalline silicon (c-Si) with 25% (red - using a red dye for spectral changes), 44% (clear) and 69% (clear) transparent bifacial PV modules, which include rows of solar cells and transparent glass elements. All systems were assessed in a controlled biome that simulated the outdoor conditions of London, ON, using regulated temperatures. The strawberry fresh weight, plant height, leaf count, and flower count were quantified under each agrivoltaic system, and economics were analyzed. The results show that higher strawberry yields were consistently observed under non-uniform shading of c-Si semi-transparent PV compared to uniform thin-film PV. Specifically, while 70% uniformly transparent Cd-Te PV module resulted in 140.6% of the average control fresh weight, non-uniformly 69% transparent c-Si PV achieved a maximum fresh weight of 201.4%, more than the average control. Coupled to the economic value of the PV generation, the Canadian strawberry agrivoltaics sector could generate more than twice the revenue from traditional strawberry farming alone. These results underscore the dual benefits of agrivoltaics to both enhance agricultural productivity while achieving substantial clean energy production.
{"title":"Strawberry agrivoltaics in Canada: Comparing uniform thin film and non-uniform crystalline silicon semi-transparent solar photovoltaic modules in controlled environment agriculture","authors":"Uzair Jamil , Joshua M. Pearce","doi":"10.1016/j.nxener.2025.100474","DOIUrl":"10.1016/j.nxener.2025.100474","url":null,"abstract":"<div><div>While colocation of solar photovoltaic (PV) and strawberry cultivation has shown promise, the impact of different types of illumination on plant growth remains uncertain. To provide information to strawberry agrivoltaic system designers, this study performs a comparative analysis of strawberry cultivation under 1) uniform illumination provided by thin-film cadmium telluride (Cd-Te) with 30%, 40% and 70% transparent PV modules and 2) non-uniform semitransparent crystalline silicon (c-Si) with 25% (red - using a red dye for spectral changes), 44% (clear) and 69% (clear) transparent bifacial PV modules, which include rows of solar cells and transparent glass elements. All systems were assessed in a controlled biome that simulated the outdoor conditions of London, ON, using regulated temperatures. The strawberry fresh weight, plant height, leaf count, and flower count were quantified under each agrivoltaic system, and economics were analyzed. The results show that higher strawberry yields were consistently observed under non-uniform shading of c-Si semi-transparent PV compared to uniform thin-film PV. Specifically, while 70% uniformly transparent Cd-Te PV module resulted in 140.6% of the average control fresh weight, non-uniformly 69% transparent c-Si PV achieved a maximum fresh weight of 201.4%, more than the average control. Coupled to the economic value of the PV generation, the Canadian strawberry agrivoltaics sector could generate more than twice the revenue from traditional strawberry farming alone. These results underscore the dual benefits of agrivoltaics to both enhance agricultural productivity while achieving substantial clean energy production.</div></div>","PeriodicalId":100957,"journal":{"name":"Next Energy","volume":"10 ","pages":"Article 100474"},"PeriodicalIF":0.0,"publicationDate":"2025-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145521157","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}
Pub Date : 2025-11-14DOI: 10.1016/j.nxener.2025.100475
Kuntalika Das , Sankar Bhattacharya , Sandeep Kumar
The use of fossil fuels leads to greenhouse gas emissions and climate change. At the same time, the finite reserves of crude oil, natural gas, and coal necessitate a shift to alternative energy sources. Apart from the typical non-conventional energy sources, waste-to-energy routes are gaining popularity. Non-biodegradable plastic waste, which possesses a high amount of energy, can be thermo-chemically treated (pyrolysis or gasification) to generate fuel. On the other hand, biomass (BM) thermochemical conversion has the potential to emerge as a green energy source with proper forest management. Co-pyrolysis and co-gasification of plastic and BM show the potential for further improvement in fuel quality and quantity. The available research works involve a range of BM and plastic types, making it difficult to conclude a generalised trend of product generation. The current work systematically reviews the recent research data by categorising the results as per the type of feedstock used and the conversion processes. A general trend of fuel yield for various feedstock types and relative contents is summarised. The effects of various parameters – operating temperature, gasifying agent, blending ratio, reactor type, and use of catalysts are also discussed, along with an insight into the catalytic conversion mechanism. The review will be beneficial to get a broad picture of the recent progress in BM-plastic co-pyrolysis and co-gasification, associated challenges, and potential applications.
{"title":"Co-pyrolysis and co-gasification of biomass and plastics for next-generation fuel production and the effect of various operating parameters on it: A review","authors":"Kuntalika Das , Sankar Bhattacharya , Sandeep Kumar","doi":"10.1016/j.nxener.2025.100475","DOIUrl":"10.1016/j.nxener.2025.100475","url":null,"abstract":"<div><div>The use of fossil fuels leads to greenhouse gas emissions and climate change. At the same time, the finite reserves of crude oil, natural gas, and coal necessitate a shift to alternative energy sources. Apart from the typical non-conventional energy sources, waste-to-energy routes are gaining popularity. Non-biodegradable plastic waste, which possesses a high amount of energy, can be thermo-chemically treated (pyrolysis or gasification) to generate fuel. On the other hand, biomass (BM) thermochemical conversion has the potential to emerge as a green energy source with proper forest management. Co-pyrolysis and co-gasification of plastic and BM show the potential for further improvement in fuel quality and quantity. The available research works involve a range of BM and plastic types, making it difficult to conclude a generalised trend of product generation. The current work systematically reviews the recent research data by categorising the results as per the type of feedstock used and the conversion processes. A general trend of fuel yield for various feedstock types and relative contents is summarised. The effects of various parameters – operating temperature, gasifying agent, blending ratio, reactor type, and use of catalysts are also discussed, along with an insight into the catalytic conversion mechanism. The review will be beneficial to get a broad picture of the recent progress in BM-plastic co-pyrolysis and co-gasification, associated challenges, and potential applications.</div></div>","PeriodicalId":100957,"journal":{"name":"Next Energy","volume":"10 ","pages":"Article 100475"},"PeriodicalIF":0.0,"publicationDate":"2025-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145521072","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}
Pub Date : 2025-11-11DOI: 10.1016/j.nxener.2025.100477
Deepthi Reddy Thoutreddy, Porpandiselvi S
Induction heating (IH) holds a pivotal role in heating technology due to its numerous advantages such as simple, contactless, fast operation, environmentally friendly, and cost-effective nature. Domestic induction cooking (IC) is one of the most popular applications of IH. It is due to its safety, quick heating, cleanliness, and controllability. This paper presents a full-bridge resonant inverter with diode and series switch per load for multiload IC system using asymmetrical voltage cancellation (AVC) control with constant switching frequency. The advantages of this inverter circuit with AVC control include independent power control, high efficiency, wider output power range, soft-switching, and suitable for high-frequency loads. It can be seamlessly scaled to accommodate ‘n’ loads by integrating a diode and series switch combination for every new load. This configuration has been simulated using orcad personal simulation program with integrated circuit emphasis and validated through an experimental setup, generating 1108 W with a peak efficiency of 95.9%. The simulation and experimental results confirm that this inverter configuration is a viable approach for multiload IC applications.
{"title":"Asymmetrical voltage cancellation controlled multiload resonant inverter for induction cooking system","authors":"Deepthi Reddy Thoutreddy, Porpandiselvi S","doi":"10.1016/j.nxener.2025.100477","DOIUrl":"10.1016/j.nxener.2025.100477","url":null,"abstract":"<div><div>Induction heating (IH) holds a pivotal role in heating technology due to its numerous advantages such as simple, contactless, fast operation, environmentally friendly, and cost-effective nature. Domestic induction cooking (IC) is one of the most popular applications of IH. It is due to its safety, quick heating, cleanliness, and controllability. This paper presents a full-bridge resonant inverter with diode and series switch per load for multiload IC system using asymmetrical voltage cancellation (AVC) control with constant switching frequency. The advantages of this inverter circuit with AVC control include independent power control, high efficiency, wider output power range, soft-switching, and suitable for high-frequency loads. It can be seamlessly scaled to accommodate ‘n’ loads by integrating a diode and series switch combination for every new load. This configuration has been simulated using orcad personal simulation program with integrated circuit emphasis and validated through an experimental setup, generating 1108 W with a peak efficiency of 95.9%. The simulation and experimental results confirm that this inverter configuration is a viable approach for multiload IC applications.</div></div>","PeriodicalId":100957,"journal":{"name":"Next Energy","volume":"10 ","pages":"Article 100477"},"PeriodicalIF":0.0,"publicationDate":"2025-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145521158","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}
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