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Journal of Thermal Science 2024年第2期33卷 509-521页

作者： Mojtaba TAHERI Fathollah POURFAYAZ Roghayeh HABIBI Akbar MALEKI Department of Renewable Energies and environment Faculty of New Sciences and TechnologiesUniversity of TehranTehran***Iran faculty of Mechanical engineering Shahrood University of TechnologyShahrood***Iran

Thermal energy storage(TES) is of great importance in solving the mismatch between energy production and *** this regard,choosing type of Phase Change Materials(PCMs) which are widely used to control heat in latent thermal energy storage systems,plays a vital role as a means of TES ***,this field suffers from lack of a comprehensive investigation on the impact of various PCMs in terms of *** address this issue,in this study,in addition to indicating the melting temperature and latent heat of various PCMs,the exergy destruction and exergy efficiency of each material are estimated and compared with each ***,in the present work the impact of PCMs mass and ambient temperature on the exergy efficiency is *** results proved that higher latent heat does not necessarily lead to higher exergy ***,to obtain a suitable exergy efficiency,the specific heat capacity and melting temperature of the PCMs must also be *** to the results,LiF-CaF_(2)(80.5%:19.5%,mass ratio) mixture led to better performance with satisfactory exergy efficiency(98.84%) and notably lower required mass compared to other ***,the highest and lowest exergy destruction are belonged to GR25 and LiF-CaF_(2)(80.5:19.5) mixture,respectively.

关键词： exergy analysis phase change materials thermal energy storage exergy efficiency

Electrochemical radical-polar crossover:a radical approach to polar chemistry

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Science China Chemistry 2024年第2期67卷 450-470页

作者： Zhoumei Tan Haonan Zhang Kun Xu Chengchu Zeng faculty of environment and Life Beijing University of TechnologyBeijing100124China

Radical-polar crossover(RPC) reaction bridges the gap between one-and two-electron reactivities,thus providing an ideal solution to overcome the limitations of both radical and polar *** this manifold,organic electrochemistry provides a uniquely facile strategy to access a diverse array of radical intermediates,thus broadening the chemical space of the RPC *** review highlights the synthetic advances in the field of electrochemical RPC reactions since 2020,with an emphasis on the substrate scope,reaction limitation and mechanistic *** related RPC reactions are categorized as netoxidative,net-reductive,or redox neutral transformations.

关键词： electrosynthesis radical-polar crossover radical chemistry polar chemistry alkene functionalization

Microbial-driven ectopic uranium extraction with net electrical energy production

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Frontiers of environmental Science & engineering 2024年第1期18卷 49-58页

作者： Xin Tang Yin Ye Chunlin Wang Bingqian Wang Zemin Qin Cui Li Yanlong Chen Yuheng Wang Zhiling Li Miao Lv Aijie Wang Fan Chen School of Ecology and environment Northwestern Polytechnical UniversityXi’an 710129China School of Materials Science and engineering Xi’an University of Architecture and TechnologyXi’an 710055China State Key Laboratory of Urban Water Resource and environment School of EnvironmentHarbin Institute of TechnologyHarbin 150090China faculty of Geosciences and environmental engineering Southwest Jiaotong UniversityChengdu 611756China

The extraction of uranium (U) from U-bearing wastewater is of paramount importance for mitigating negative environmental impacts and recovering U resources. Microbial reduction of soluble hexavalent uranium (U(VI)) to insoluble tetravalent uranium (U(IV)) holds immense potential for this purpose, but its practical application has been impeded by the challenges associated with managing U-bacterial mixtures and the biotoxicity of U. To address these challenges, we present a novel spontaneous microbial electrochemical (SMEC) method that spatially decoupled the microbial oxidation reaction and the U(VI) reduction reaction. Our results demonstrated stable and efficient U extraction with net electrical energy production, which was achieved with both synthetic and real wastewater. U(VI) removal occurred via diffusion-controlled U(VI)-to-U(IV) reduction-precipitation at the cathode, and the UIVO_(2) deposited on the surface of the cathode contributed to the stability and durability of the abiotic U(VI) reduction. Metagenomic sequencing revealed the formation of efficient electroactive communities on the anodic biofilm and enrichment of the key functional genes and metabolic pathways involved in electron transfer, energy metabolism, the TCA cycle, and acetate metabolism, which indicated the ectopic reduction of U(VI) at the cathode. Our study represents a significant advancement in the cost-effective recovery of U from U(VI)-bearing wastewater and may open a new avenue for sustainable uranium extraction.

关键词： U(VI)bioreduction Electricity production Reaction decoupling Uranium-bearing wastewater Biofilm microbiome

Critical layer in liquid-solid system influencing the remediation of chromium using zeolite-supported sulfide nano zero-valent iron

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Journal of environmental Sciences 2024年第1期135卷 232-241页

作者： Chundi Zhou Caiyun Han Nengsheng Liu faculty of Material and environment Guangxi University for NationalitiesNanning 530008China College of environmental Science and engineering Tongji UniversityShanghai 200092China faculty of Metallurgical and Energy engineering Kunming University of Science and TechnologyKunming 650093China

Sulfidated nano zero-valent iron particles were immobilized on ZSM-5 zeolite(Z/S-nZⅥ)and used for hexavalent chromium(Cr(Ⅵ))*** performance of Z/S-nZⅥimproved with the increase in Cr(Ⅵ)concentration(0.6).Moreover,the removal mechanisms of Cr(Ⅵ)were elucidated through XRD,transmission electron microscopy(TEM)and XPS *** results demonstrate that the species of chromium in the critical layer changed from Cr(Ⅲ)to Cr(Ⅵ)as the concentration of chromium increased from low to ***,the critical layer was composed of Cr(Ⅵ),Fe(Ⅱ),O and H ***,the experiments of coexisting ions and aging time confirmed that Z/S-nZⅥpossessed high selectivity and stability to ensure efficiency and cost-effectiveness in practical applications.

关键词： Cr(VI) Corrosion Critical layer Selectivity Stability

Prominent removal of trace lead(Ⅱ)ions from polluted water by terephthalic acid reformed Al/Zn metal organic nanoflakes

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Particuology 2024年第1期84卷 81-88页

作者： Junhua Li Lingshu Gao Junmao Hong Xiaofeng Shi Sifang Kong Jingyu Wang Hassan Algadi Benbin Xu Zhanhu Guo School of Chemistry and Chemical engineering North University of ChinaTaiyuan030051China School of Traffic&environment Shenzhen Institute of Information TechnologyShenzhen518172China Department of Electrical engineering Faculty of EngineeringNajran UniversityNajran11001Saudi Arabia Mechanical and Construction engineering Faculty of Engineering and EnvironmentNorthumbria UniversityNewcastle Upon TyneNE18STUK

Terephthalic acid reformed Al/Zn metal organic nanoflake was prepared and functionalized with trie-thylamine(T-AlZn).Without adding terephthalic acid,there was no product of metal organic nanoflake.T-AlZn has a remarkable performance in removing trace lead(Ⅱ)ions(Pb^(2+)).The adsorption equipoise with the removal rate≥97%was reached within 35 *** removal rates of T-AlZn for Pb^(2+)declined by only 16.73%after four *** adsorption of T-AlZn for Pb^(2+)follows the Langmuir isotherms model and pseudo-second-order dynamics *** utmost adsorption competence was calculated as 215.27 mg g^(-1).The T-AlZn adsorbent exhibits a bright prospect in the adsorption for Pb^(2+)and is a considerable candidate in the disposal of industrial sewage.

关键词： Metal organic complex Nanoflake Trace level Pb^(2+) Adsorption

High efficiency removal of NO using waste calcium carbide slag by facile KOH modification

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Journal of environmental Sciences 2024年第5期139卷 182-192页

作者： Fang Wang Hui Li Jiyun Gao Na Geng Enzhu Jiang Futing Xia Mingwu Xiang Lijuan Jia Ping Ning School of Chemistry and environment Yunnan Minzu UniversityKunming 650504China faculty of environmental Science and engineering Kunming University of Science and TechnologyKunming 650500China

Waste calcium carbide slags(CS),which are widely applied to desulfurisation,are not typically used in ***,to well achieve waste control by waste,a facile and highefficiency denitration strategy is developed using KOH to modify the calcium carbide slags(KCS).Various KCS samples were investigated using a series of physical and chemical *** performance test results showed that the KOH concentration and reaction temperature are the main factors affecting the denitration efficiency of KCS,and CS modified with 1.5 mol/L KOH(KCS-1.5)can achieve 100% denitration efficiency at 300℃.Such excellent removal efficiency is due to the catalytic oxidation of the oxygen-containing functional groups derived from the *** studies showed that KOH treatment significantly increased the concentration of oxygen vacancies,nitro compounds,and basic sites of *** study provides a novel strategy for the resource utilisation of waste CS in the future.

关键词： Waste Carbide slag KOH Effective denitration

Brain-inspired multimodal approach for effluent quality prediction using wastewater surface images and water quality data

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Frontiers of environmental Science & engineering 2024年第3期18卷 69-82页

作者： Junchen Li Sijie Lin Liang Zhang Yuheng Liu Yongzhen Peng Qing Hu School of environment Harbin Institute of TechnologyHarbin 150090China School of environmental Science and engineering Southern University of Science and TechnologyShenzhen 518055China engineering Innovation Center of SUSTech(Beijing) Southern University of Science and TechnologyBeijing 100083China faculty of environment and Life Beijing University of TechnologyBeijing 100124China engineering Research Center of Intelligence Perception and Autonomous Control Ministry of EducationBeijing 100124China

Efficiently predicting effluent quality through data-driven analysis presents a significant advancement for consistent wastewater treatment *** this study,we aimed to develop an integrated method for predicting effluent COD and NH3 *** employed a 200 L pilot-scale sequencing batch reactor(SBR)to gather multimodal data from urban sewage over 40 *** we collected data on critical parameters like COD,DO,pH,NH_(3),EC,ORP,SS,and water temperature,alongside wastewater surface images,resulting in a data set of approximately 40246 *** we proposed a brain-inspired image and temporal fusion model integrated with a CNN-LSTM network(BITF-CL)using this *** innovative model synergized sewage imagery with water quality data,enhancing prediction *** a result,the BITF-CL model reduced prediction error by over 23%compared to traditional methods and still performed comparably to conventional techniques even without using DO and SS sensor ***,this research presents a cost-effective and precise prediction system for sewage treatment,demonstrating the potential of brain-inspired models.

关键词： Wastewater treatment system Water quality prediction Data driven analysis Brain-inspired model Multimodal data Attention mechanism

Intelligent solubility estimation of gaseous hydrocarbons in ionic liquids

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Petroleum 2024年第1期10卷 109-123页

作者： Behnaz Basirat Fariborz Shaahmadi Seyed Sorosh Mirfasihi Abolfazl Jomekian Bahamin Bazooyar Ahvaz faculty of Petroleum engineering Petroleum University of Technology (PUT) School of engineering & Physical Sciences Heriot Watt University Department of Fluids & environment The University of Manchester Department of engineering Chemical Engineering Group Esfarayen University of Technology Mechanical and Aerospace engineering Brunel University London

The research focuses on evaluating how well new solvents attract light hydrocarbons, such as propane,methane, and ethane, in natural gas sweetening units. It is important to accurately determine the solubility of hydrocarbons in these solvents to effectively manage the sweetening process. To address this challenge, the study proposes using advanced empirical models based on artificial intelligence techniques like Multi-Layer Artificial Neural Network(ML-ANN), Support Vector Machines(SVM), and Least Square Support Vector Machine(LSSVM). The parameters for the SVM and LSSVM models are estimated using optimization methods like Genetic Algorithm(GA), Particle Swarm Optimization(PSO), and Shuffled Complex Evolution(SCE). Data on the solubility of propane, methane, and ethane in various ionic liquids are collected from reliable literature sources to create a comprehensive database. The proposed artificial intelligence models show great accuracy in predicting hydrocarbon solubility in ionic liquids. Among these, the hybrid SVM models perform exceptionally well, with the PSO-SVM hybrid model being particularly efficient computationally. To ensure a comprehensive analysis, different examples of hydrocarbons and their order are included. Additionally, a comparative analysis is conducted to compare the AI models with the thermodynamic COSMO-RS model for solubility analysis. The results demonstrate the superiority of the AI models, as they outperform traditional thermodynamic models across a wide range of data. In conclusion, this study introduces advanced artificial intelligence algorithms such as ML-ANN, SVM, and LSSVM in accurately estimating the solubility of hydrocarbons in ionic liquids. The incorporation of optimization techniques and variations in hydrocarbon examples improves the accuracy, precision, and reliability of these intelligent models. These findings highlight the significant potential of AI-based approaches in solubility analysis and emphasize their superiori

关键词： Solubility Gaseous hydrocarbon Intelligent models Ionic liquids

High-resolution multi-scale air pollution system:Evaluation of modelling performance and emission control strategies

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Journal of environmental Sciences 2024年第3期137卷 65-81页

作者： Diogo Lopes Joana Ferreira Sandra Rafael Ka In Hoi Xin Li Yuan Liu Ka-Veng Yuen Kai Meng Mok Ana Isabel Miranda Department of environment and Planning&CESAM University of AveiroAveiroPortugal Department of Civil&environmental engineering Faculty of Science and TechnologyUniversity of MacaoMacao SARChina

A high percentage of the world's population lives in areas where air pollutant concentrations exceed the World Health Organization *** work aims to develop and test,a high-resolution multi-scale air pollution modelling system by integrating a set of adequate *** system is able to provide detailed air pollutant concentrations in urban areas and support air quality management strategies through a better identification of different atmospheric *** also allows furthering the design and assessment of air pollution control measures for a specific *** evaluate its performance and suitability,the system was applied to the Macao Special Administrative Region(SAR),China,one of the most densely populated areas on earth,during a winter period when this area is affected by high levels of Particulate Matter(PM).Although the developed system tends to underestimate the PM concentrations,it revealed a good performance in reproducing the temporal and spatial air pollution *** exceedances of the Chinese air quality standards were calculated and high population exposure to PM pollution was *** tested urban atmospheric emission reduction scenarios have shown air quality improvements,indicating that emission reduction measures at urban level should focus on the domestic ***,it is crucial to implement joint pollution prevention strategies with neighbouring regions to improve the air quality in Macao *** approach developed in this work can support policymakers in defining new strategies to reduce atmospheric pollution in urban areas.

关键词： Urban areas High-resolution emission inventory Particulate matter Population exposure

Boosting the catalytic performance of Cu-SAPO-34in NO_(x) removal via hydrothermal treatment

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Journal of environmental Sciences 2024年第1期135卷 640-655页

作者： Xiaoyan Tian Huimin Wang Siyuan Xu Lianyun Gao Jinyan Cao Jianjun Chen Qiulin Zhang Ping Ning Jiming Hao faculty of environmental Science and engineering Kunming University of Science and TechnologyKunming 650500China National-Regional engineering Center for Recovery of Waste Gases from Metallurgical and Chemical Industries Kunming University of Science and TechnologyKunming 650500China School of environment State Key Joint Laboratory of Environment Simulation and Pollution ControlTsinghua UniversityBeijing 100084China

Phosphate ions promoted Cu-SAPO-34(P-Cu-SAPO-34)were prepared using bulk CuO particles as Cu^(2+)precursor by a solid-state ion exchange technique for the selective catalytic reduction of NO_(x) with NH_3(NH_3-SCR).The effects of high temperature(H-T)hydrothermal aging on the NO_(x) removal(de-NO_(x))performance of Cu-SAPO-34 with and without phosphate ions were systematically investigated at atomic *** results displayed that both Cu-SAPO-34 and P-Cu-SAPO-34 presented relatively poor NO_(x) removal activity with a low conversion(<30%)at 250-500℃.However,after H-T hydrothermal treatment(800℃ for 10 hr at 10%H_2O),these two samples showed significantly satisfied NO_(x) elimination performance with a quite high conversion(70%-90%)at 250-500℃.Additionally,phosphate ions decoration can further enhance the catalytic performance of Cu-SAPO-34 after hydrothermal treatment(Cu-SAPO-34H).The textural properties,morphologies,structural feature,acidity,redox characteristic,and surface-active species of the fresh and hydrothermally aged samples were analyzed using various characterization *** systematical characterization results revealed that increases of 28%of the isolated Cu^(2+)active species(Cu^(2+)-2Z,Cu(OH)^(+)-Z)mainly from bulk CuO and 50%of the Bronsted acid sites,the high dispersion of isolated Cu^(2+)active component as well as the Bronsted acid sites were mainly responsible for the accepted catalytic activity of these two hydrothermally aged samples,especially for P-Cu-SAPO-34H.

关键词： NH_(3)-SCR Cu-SAPO-34 Hydrothermal induced Phosphate ions