Sustainable Energy & Fuels最新文献

{"title":"Solvothermal synthesis of carbon nitride (g-C3N4): bandgap engineering for improved photocatalytic performance†","authors":"Mohammed Tajudeen Abdullahi, Maryum Ali, Wasif Farooq, Majad Khan, Muhammad Younas and Muhammad Nawaz Tahir","doi":"10.1039/D4SE01646G","DOIUrl":"https://doi.org/10.1039/D4SE01646G","url":null,"abstract":"<p >Graphitic carbon nitride (g-C<small>₃</small>N<small>₄</small>) is a metal-free semiconductor material with highly promising photocatalytic properties owing to its unique structural, electronic, and optical characteristics. Herein, the solvothermal synthesis of g-C<small>₃</small>N<small>₄</small> as a photocatalyst for photoelectrochemical water splitting and the photocatalytic degradation of organic pollutants is reported. The solvothermal synthesis of g-C<small>₃</small>N<small>₄</small> was carried out using acetonitrile as the solvent at three different temperatures: 160 °C, 180 °C and 200 °C. The chemical structure of the synthesized photocatalysts was characterized using NMR, FT-IR, and Raman spectroscopy. Phase purity was confirmed through X-ray diffraction (XRD), and the morphology was analyzed using transmission electron microscopy (TEM). The optical properties were accessed using UV-visible and diffuse reflectance spectroscopy (DRS). The prepared photocatalysts were tested for photoelectrochemical (PEC) water splitting and the photocatalytic degradation of organic pollutants, with methylene blue used as a model compound. It was observed that the g-C<small>₃</small>N<small>₄</small> synthesized at 200 °C showed an enhanced anodic photocurrent of ∼25 μA cm<small>⁻²</small> at an applied potential of 1.7 V <em>vs.</em> RHE under exposure to 100 mW cm<small>⁻²</small>, AM 1.5 G. Additionally, it exhibited superior performance in the photocatalytic degradation of organic pollutants, with methylene blue as the model compound. The enhanced photoelectrochemical and photocatalytic performance of the g-C<small>₃</small>N<small>₄</small> synthesized at 200 °C is likely attributed to the improved physicochemical properties of the material, which are linked to its structural features modified by the elevated synthesis temperature.</p>","PeriodicalId":104,"journal":{"name":"Sustainable Energy & Fuels","volume":" 4","pages":" 1109-1119"},"PeriodicalIF":5.0,"publicationDate":"2024-12-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143379725","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A novel multi-scenario battery health assessment method combining semi-supervised learning and data augmentation techniques","authors":"Xianghui Qiu, Jisheng Ren and Shuangfeng Wang","doi":"10.1039/D4SE01231C","DOIUrl":"https://doi.org/10.1039/D4SE01231C","url":null,"abstract":"<p >Data-driven methods are widely claimed to be the most promising candidates for online battery health assessment estimation. However, sufficient training data cannot be guaranteed. This paper proposes a novel multi-scenario battery health assessment method. First, an efficient feature extraction method that requires no complex calculation is proposed. Besides, the selected features are proven to be temperature independent. Second, a battery data augmentation approach is proposed to enrich unlabeled battery data. Third, different health estimation strategies are applied for different scenarios. For supervised scenarios, <em>k</em>-nearest neighbor is directly used for health assessment. For semi-supervised scenarios, back propagation neural network and <em>k</em>-nearest neighbor are combined together to overcome the overfitting problem of the former and the poor prediction ability of the latter. In cases where real unlabeled data is not available, the proposed data augmentation method is used to enrich the dataset. The results indicate that the proposed method not only achieves high-precision estimation in fully supervised scenarios, but also significantly improves estimation accuracy in semi supervised scenarios through the combination of two algorithms. The proposed data augmentation method has also been proven to synthesize data that is indistinguishable from real data.</p>","PeriodicalId":104,"journal":{"name":"Sustainable Energy & Fuels","volume":" 3","pages":" 816-832"},"PeriodicalIF":5.0,"publicationDate":"2024-12-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143107752","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Electrosynthesis of a RuAg alloy for an efficient alkaline hydrogen evolution reaction†","authors":"Tzung-Wen Chiou and Jia-Min Shen","doi":"10.1039/D4SE01350F","DOIUrl":"https://doi.org/10.1039/D4SE01350F","url":null,"abstract":"<p >In this study, a binary RuAg alloy material with a face-centred cubic crystalline structure was synthesised through electrodeposition. The as-prepared RuAg alloy on a planar glassy carbon electrode exhibited excellent hydrogen evolution reaction activity, with an overpotential of 30 mV at 10 mA cm<small>⁻²</small> and with turnover frequencies of 0.07 and 0.42 s<small>⁻¹</small> at the overpotentials of 30 and 100 mV, respectively, in 1.0 M KOH solution. In summary, this study developed a highly active Ru-based HER catalyst in an alkaline solution. We hope that the present results can facilitate the further development of HER electrocatalysts.</p>","PeriodicalId":104,"journal":{"name":"Sustainable Energy & Fuels","volume":" 3","pages":" 739-743"},"PeriodicalIF":5.0,"publicationDate":"2024-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143107759","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Unveiling a synthetic strategy for a cerium-based hetero-phase hybrid electrocatalyst for near-zero peroxide yield in the ORR","authors":"Dipannita Ganguly, Nithyaa Jayakumar and Nishanth Karimbintherikkal Gopalan","doi":"10.1039/D4SE01089B","DOIUrl":"https://doi.org/10.1039/D4SE01089B","url":null,"abstract":"<p >The urgent need to replace precious metal electrocatalysts with platinum-group-metal-free (PGM-free) alternatives without sacrificing activity and stability for fuel cell applications drives the current research. This study presents the development of a highly efficient hybrid catalyst, CeCNC<small>_F</small>, utilising a simple one-pot synthetic approach comprising polyaniline, cerium, and carbon nanofibers to optimise energy-efficient technologies. The CeCNC<small>_F</small> catalyst demonstrates an onset potential of 0.86 V <em>vs.</em> RHE, closely matching that of the commercial Pt/C catalyst, and exhibits an equivalent limiting current density of 5.21 mA cm<small>⁻²</small>, which is comparable to that of Pt/C. This indicates superior oxygen diffusion and a higher density of catalytic active sites. The reaction proceeds <em>via</em> a four-electron direct pathway with a minimal peroxide yield of 0.06%, highlighting its highly efficient reaction kinetics. Additionally, the catalyst shows significant resistance to methanol crossover and maintains stability up to 3000 cycles. Its notable performance is attributed to the nitrogen-dispersed carbon framework, oxygen-vacancy-fortified Ce species, and increased surface area, which collectively intensify the exposure of the active sites to reactant species. This research offers a cost-effective approach for synthesising PGM-free electrocatalysts, providing a promising high-performance cathode material for practical applications.</p>","PeriodicalId":104,"journal":{"name":"Sustainable Energy & Fuels","volume":" 3","pages":" 778-786"},"PeriodicalIF":5.0,"publicationDate":"2024-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143107748","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Solar energy technologies for desalination and utilization of hypersaline brines","authors":"Zhen-Wei Wu and Hao-Cheng Yang","doi":"10.1039/D4SE01552E","DOIUrl":"https://doi.org/10.1039/D4SE01552E","url":null,"abstract":"<p >Solar energy presents a vast resource for addressing the global freshwater crisis, particularly through the desalination of hypersaline brines. This review examines the potential of solar energy technologies for both desalination and the utilization of these brines, emphasizing the transition to sustainable practices in water management and resource recovery. We first identify the main challenges associated with evaporating high-salinity water, including issues related to energy efficiency and the detrimental effects of salt scaling on system performance. We then highlight recent advancements in evaporator design aimed at mitigating scaling, thereby enhancing the feasibility of solar-driven evaporation methods. Additionally, we explore the integration of evaporation-induced hydropower generation and seawater extraction with high-salinity water evaporation processes, proposing hybrid systems that optimize saline water treatment while recovering valuable resources. Finally, we discuss the future opportunities and prospects for solar evaporation technologies in hypersaline brine treatment, aiming to foster further research and practical applications in this critical area of the water-energy nexus.</p>","PeriodicalId":104,"journal":{"name":"Sustainable Energy & Fuels","volume":" 3","pages":" 673-692"},"PeriodicalIF":5.0,"publicationDate":"2024-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143107756","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Revolutionizing energy: converting CO2 into methanol using flue gases from natural gas combined cycle power plants","authors":"Yasser Abbas Hammady Al-Elanjawy and Mustafa Yilmaz","doi":"10.1039/D4SE01183J","DOIUrl":"https://doi.org/10.1039/D4SE01183J","url":null,"abstract":"<p >Carbon capture and utilization (CCU) technologies are crucial for reducing CO<small>₂</small> emissions from power plants and promoting environmental sustainability. This study focuses on the Besmaya Natural Gas Combined Cycle (NGCC) power plant in Baghdad, Iraq, using Aspen Plus software to simulate plant operation and establish a baseline. A post-carbon capture strategy is then implemented, converting CO<small>₂</small> from flue gases into methanol through catalytic conversion with H<small>₂</small>. Methanol has diverse applications in industries such as pharmaceuticals, plastics, and agriculture, making it valuable for CCU processes. H<small>₂</small> for the conversion is produced using a solar-water splitter, utilizing the condensate from the power plant's steam turbine system. Solar potential at Baghdad coordinates is assessed using the System Advisory Model (SAM). This research demonstrates the importance of CO<small>₂</small> capture and methanol production in improving the environmental profile of NGCC power plants. Integrating solar-driven processes reduces greenhouse gas emissions and yields valuable products, contributing to a more sustainable energy paradigm. The NGCC plant emitted 2 119 318 tons of CO<small>₂</small> annually without solar-assisted CO<small>₂</small>-to-methanol conversion. Combining this process with solar assistance reduced emissions by an astounding 99%, to just 16 069 tonnes per year. These findings highlight the feasibility and benefits of integrated approaches, advancing efficient and environmentally conscious energy systems.</p>","PeriodicalId":104,"journal":{"name":"Sustainable Energy & Fuels","volume":" 3","pages":" 833-846"},"PeriodicalIF":5.0,"publicationDate":"2024-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143107753","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Electronic metal–support interaction in Pd/CoNi-hydroxides with enhanced CO adsorption for boosting CO2 methanation†","authors":"Yawei Wu, Dinesh Bhalothia, Jyh-Pin Chou, Guo-Wei Lee, Alice Hu and Tsan-Yao Chen","doi":"10.1039/D4SE01565G","DOIUrl":"https://doi.org/10.1039/D4SE01565G","url":null,"abstract":"<p >CO<small>₂</small> conversion to value-added chemical products is of significance for carbon cycling. Pd-based catalysts show great potential in the CO<small>₂</small> methanation reaction by virtue of the synergistic effect between the Pd and support, but the limited interaction sites on the support often restrict further optimization of the Pd electronic state. Herein, CoNi-hydroxide nanosheets with abundant defects were synthesized and provided numerous interaction sites for loading Pd nanoparticles, leading to enriched electron density of Pd sites with strong CO adsorption intensity. TEM and XRD revealed the solid solution structure of CoNi-hydroxide nanosheets with lattice distortions, which provided numerous defects for interaction sites. The close interface served as an electron transfer pathway from Co to Pd sites, as confirmed by XAS analysis. Meanwhile, the electron-rich Pd sites exhibited stronger CO intermediate adsorption strength. As a result, a good CH<small>₄</small> production rate of 2255 μmol g<small>_cat</small><small>⁻¹</small> h<small>⁻¹</small> at 573 K was obtained over CoNi-hydroxides decorated with Pd, which was 64 times greater than that of Pd/AC and twice that of the pristine CoNi-hydroxide catalyst.</p>","PeriodicalId":104,"journal":{"name":"Sustainable Energy & Fuels","volume":" 3","pages":" 847-854"},"PeriodicalIF":5.0,"publicationDate":"2024-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143107754","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A flexible phase change material based on hydrated salts exhibits high stability and insulation properties for battery thermal management","authors":"Jun Li, Yingbiao Yuan, Piao Wang, Lisi Jia, Haidong Ju and Renjie Chen","doi":"10.1039/D4SE00871E","DOIUrl":"https://doi.org/10.1039/D4SE00871E","url":null,"abstract":"<p >Inorganic hydrated salts hold significant potential for battery thermal management due to their high thermal conductivity, substantial energy storage density, and low cost. However, challenges such as leakage, electrical conductivity, and rigidity hinder their broad application. In this study, hydrated salts were adsorbed into the pores of expanded graphite and subsequently encapsulated with silicone rubber to synthesize a novel hydrated salt composite phase change material. This composite exhibited high enthalpy, insulating properties, flame retardancy, and flexibility, making it suitable for lithium-ion battery thermal management. Test results demonstrated that with 40% silicone content, the phase change enthalpy of the composite material was approximately 98.2 J g<small>⁻¹</small>. This material possessed V-0 level flame retardancy and also exhibited good flexibility at room temperature. Its electrical conductivity was only 0.012 S m<small>⁻¹</small>. When applied to the thermal management of lithium batteries at a 3C charging rate, the surface temperature of the battery remained below 40 °C. The experimental results indicate that the prepared composite phase change material has potential value in battery thermal management, effectively maintaining stable battery temperature and enhancing thermal safety.</p>","PeriodicalId":104,"journal":{"name":"Sustainable Energy & Fuels","volume":" 3","pages":" 804-815"},"PeriodicalIF":5.0,"publicationDate":"2024-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143107751","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Integration of supervised machine learning for predictive evaluation of chemical looping hydrogen production and storage system","authors":"Renge Li, Jimin Zeng, Ying Wei and Zichen Shen","doi":"10.1039/D4SE01255K","DOIUrl":"https://doi.org/10.1039/D4SE01255K","url":null,"abstract":"<p >Chemical looping technology is an emerging method for hydrogen production and storage, characterized by its environmentally friendly and safe inherent gas separation processes. However, the development of this technology requires consideration of oxygen carrier selection, reactor design, and process optimization, trial-and-error experimental methods are labor-intensive and costly. Herein, we propose the integration of machine learning into the chemical looping hydrogen production system to achieve accurate prediction and evaluation during the development process. Based on a dataset of 315 data sets, the ANN and Extra Tree models demonstrated the highest generalization ability among six models, with prediction accuracies for hydrogen yield and purity reaching <em>R</em><small>²</small> = 0.96 and <em>R</em><small>²</small> = 0.94, respectively. The interpretability algorithm analyzed the impact of different input parameters on hydrogen yield and purity, revealing that reaction temperature and fuel gas had the most significant influence. We predicted the hydrogen production performance of four new-input natural oxygen carriers using the trained ANN and Extra Tree models. The results indicated that the predictions were generally consistent with experimental results, with the best oxygen carrier maintaining a hydrogen yield of ∼3.12 mmol g<small>⁻¹</small> and a hydrogen purity of 99.65% after 10 cycles. In summary, machine learning can serve as an alternative to traditional trial-and-error methods, accelerating the development process of chemical looping hydrogen production technology.</p>","PeriodicalId":104,"journal":{"name":"Sustainable Energy & Fuels","volume":" 2","pages":" 640-650"},"PeriodicalIF":5.0,"publicationDate":"2024-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142976231","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A ternary C-SnO2–g-C3N4–MoS2 heterostructure for highly efficient photo/electrocatalytic hydrogen production†","authors":"Najrul Hussain, Mohammad Ali Abdelkareem, A. G. Olabi and Hussain Alawadhi","doi":"10.1039/D4SE01532K","DOIUrl":"https://doi.org/10.1039/D4SE01532K","url":null,"abstract":"<p >This work reported the design and fabrication of a ternary heterostructure for efficient photocatalytic and electrocatalytic hydrogen production. Here, the C-SnO<small>₂</small>–g-C<small>₃</small>N<small>₄</small>–MoS<small>₂</small> heterostructure with unique electronic and optical properties is developed using a simple two-step synthesis strategy, in which first a C-doped SnO<small>₂</small> nanostructure (C-SnO<small>₂</small>) was prepared by thermal decomposition and then a hybrid ternary heterostructure of C-SnO<small>₂</small> with layered 2D materials g-C<small>₃</small>N<small>₄</small> and MoS<small>₂</small> was developed by using a simple solution chemistry approach. The reported C-SnO<small>₂</small>–g-C<small>₃</small>N<small>₄</small>–MoS<small>₂</small> hybrid heterostructure exhibited an enhanced photocatalytic activity of 11.85 mmol g<small>⁻¹</small> hydrogen production and 17.21% apparent quantum efficiency (AQE) due to improved catalytically active sites, boosted charge transfer efficiency at the interface, suppression of charge carrier recombination, and synergistic interaction between the components. Moreover, the C-SnO<small>₂</small>–g-C<small>₃</small>N<small>₄</small>–MoS<small>₂</small> heterostructure material showed outstanding electrocatalytic activity for hydrogen production (HER), requiring an overpotential of −0.18 V <em>vs.</em> RHE to accomplish a current density of 10 mA cm<small>⁻²</small>. The superior HER performance of the heterostructure is ascribed to its more electrochemically active surface sites, combined with the synergistic interaction among its components.</p>","PeriodicalId":104,"journal":{"name":"Sustainable Energy & Fuels","volume":" 2","pages":" 651-661"},"PeriodicalIF":5.0,"publicationDate":"2024-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142976232","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}