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Enhancing ozone catalytic decomposition through acid treatment ofα-MnO_(2) for improved activity and humidity resistance

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Journal of Environmental Sciences 2025年第3期149卷 35-45页

作者： Shangchao Xiong Kai Zhang Zhenghao Xu Hongjun Ou Yuanyuan Zheng Xi Li Yue Peng Xubiao Luo Junhua Li School of Life Sciences Jinggangshan UniversityJi’an 343009China Faculty of Geosciences and Environmental Engineering Southwest Jiaotong UniversityChengdu 610031China State Key Joint Laboratory of Environment Simulation and Pollution Control School of EnvironmentTsinghua UniversityBeijing 100084China

Post-etching method using dilute acid solutions is an effective technology to modulate the surface compositions of metal-oxide *** theα-MnO_(2) catalyst treated with 0.1 mol/L nitric acid exhibits higher ozone decomposition activity at high relative humidity than the counterpart treated with acetic *** the increases in surface area and lattice dislocation,the improved activity can be due to relatively higher Mn valence on the surface and newly-formed Brønsted acid sites adjacent to oxygen *** remnant nitro species deposited on the catalyst by nitric acid treatment is ideal hydrophobic groups at ambient *** decomposition route is also proposed based on the DRIFTS and DFT calculations:ozone is facile to adsorb on the oxygen vacancy,and the protonic H of Brønsted acid sites bonds to the terminal oxygen of ozone to accelerate its cleavage to O_(2),reducing the reaction energy barrier of O_(2) desorption.

关键词： Ozone decomposition α-MnO_(2) Brønsted acid sites H-bonds Post-etching

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Enhancing deformation characteristics prediction of coarse-grained soils with time-series generative adversarial network-based data augmentation and pre-training

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Frontiers of Structural and Civil Engineering 2025年第3期19卷 396-410页

作者： Ying ZHANG Meng JIA Xuedong ZHANG Liping CAO Ziying AN Hongchao WANG Jinyu WANG School of Control and Computer Engineering North China Electric Power UniversityBeijing 102206China The State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin China Institute of Water Resources and Hydropower ResearchBeijing 100038China

Coarse-grained soils are fundamental to major infrastructures like embankments,roads,and *** their deformation characteristics is essential for ensuring structural *** methods,such as triaxial compression tests and numerical simulations,face challenges like high costs,time consumption,and limited generalizability across different soils and *** address these limitations,this study employs deep learning to predict the volumetric strain of coarse-grained soils as axial strain changes,aiming to obtain the axial strain(ε_(a))-volumetric strain(ε_(v))curve,which helps derive key mechanical parameters like cohesion(c),and elastic modulus(E).However,the limited data from triaxial tests poses challenges for training deep learning *** propose using a Time-series Generative Adversarial Network(TimeGAN)for data ***,we apply feature importance analysis to assess the quality of the numerical augmented data,providing feedback for improving the TimeGAN *** further enhance model performance,we introduce the pre-training strategy to reduce bias between augmented and real *** results demonstrate that our approach effectively predictscurve,with the mean absolute error(MAE)of 0.2219 and the R^(2) of *** analysis aligns with established findings in soil mechanics,underscoring the potential of our method in engineering applications.

关键词： coarse-grained soils deformation characteristics TimeGAN data augmentation pre-training

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Superhydrophobic ceramic membrane coupled with a biphasic solvent for efficient CO_(2)capture

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Green Energy & Environment 2025年第4期10卷 834-844页

作者： Kaili Xue Zhen Chen Xiaona Wu Heng Zhang Haiping Chen Junhua Li State Key Joint Laboratory of Environment Simulation and Pollution Control School of EnvironmentTsinghua UniversityBeijing100084China Beijing Key Laboratory of Pollutant Monitoring and Control in Thermoelectric Production Process School of EnergyPower and Mechanical EngineeringNorth China Electric Power UniversityBeijing102206China MOE Key Laboratory of Resources and Environmental Systems Optimization College of Environmental Science and EngineeringNorth China Electric Power UniversityBeijing102206China

An innovative strategy was proposed by integration of membrane contactor(MC)with biphasic solvent for efficient CO_(2) capture from flue *** accessible fly ash-based ceramic membrane(CM)underwent hydrophobic modification through silane grafting,followed by fluoroalkylsilane decoration,to prepare the superhydrophobic membrane(CSCM).The CSCM significantly improved resistance to wetting by the biphasic solvent,consisting of amine(DETA)and sulfolane(TMS).Morphological characterizations and chemical analysis revealed the notable enhancements in pore structure and hydrophobic chemical groups for the modified *** of wetting/bubbling behavior based on static wetting theory referred the liquid entry pressure(LEP)of CSCM increased by 20 kPa compared to pristine *** with traditional amine solvents,the biphasic solvent presented the expected phase *** experiments demonstrated that the CO_(2) capture efficiency of the biphasic solvent increased by 7%,and the electrical energy required for desorption decreased by 32%.The 60-h continuous testing and supplemental characterization of used membrane confirmed the excellent adaptability and durability of the *** study provides a potential approach for accessing hydrophobic ceramic membranes and biphasic solvents for industrial CO_(2) capture.

关键词： Carbon capture Membrane contactor Hydrophobic modification Membrane wetting Biphasic solvent

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Microdynamic modulation through Pt–O–Ni proton and electron“superhighway”for pH-universal hydrogen evolution

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Journal of Energy Chemistry 2025年第2期101卷 808-815,I0018页

作者： Dewen Wang Yuting Chen Bohan Yao Tian Meng Yanchao Xu Dongxu Jiao Zhicai Xing Xiurong Yang State Key Laboratory of Electroanalytical Chemistry Changchun Institute of Applied ChemistryChinese Academy of SciencesChangchun 130022JilinChina University of Science and Technology of China Hefei 230026AnhuiChina Department of Chemistry Shenzhen Grubbs Institute and Guangdong Provincial Key Laboratory of Energy Materials for Electric PowerSouthern University of Science and TechnologyShenzhen 518055GuangdongChina State Key Laboratory of Automotive Simulation and Control School of Materials Science and EngineeringJilin UniversityChangchun 130012jilinChina

Optimizing the microdynamics in alkaline and neutral conditions is a significant but challenging task in developing pH-universal hydrogen evolution(HER)***,a unique Pt-O-Ni bridge has been constructed to alter the coordination and electronic environment between Pt nanoparticles(Pt_n)and nickel metaphosphate(NPO)substrate(Pt-NPO).Sufficient electron transfer from NPO to Pt_n to maintain an electron-rich environment and a low valence state of Pt_***,H*is produced from the H_(2)O dissociation on Ni site and then spillover toward Pt sites to bind into H_(2),which makes up for the insufficient H_(2)O dissociation ability of Pt in Volmer ***-NPO exhibits long-term stability and only need the overpotentials of 22.3,33.0 and 30.5 mV to attain 10 mA cm^(-2)in alkaline,neutral and acidic media,*** anion-exchange membrane(AEM)water electrolyzer catalyzed by Pt-NPO shows high water electrolysis performance that a cell voltage of 1.73 V is needed to obtain the current density of500 mA cm^(-2)in 1 M KOH at 80℃,at the same time maintains good stability for 350 *** regulation strategy proposed in this work is helpful for the design and synthesis of highly efficient pH-universal HER electrocatalysts.

关键词： Hydrogen evolution reactions pH-universal HER electrocatalysts Metal-support interactions Microdynamics Atomic and electronic regulation

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Achieving an Accurate Random Process Model for PV Power Using Cheap Data:Leveraging the SDE and Public Weather Reports

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CSEE Journal of Power and Energy Systems 2025年第1期11卷 124-135页

作者： Yiwei Qiu Jin Lin Zhipeng Zhou Ningyi Dai Feng Liu Yonghua Song College of Electrical Engineering Sichuan UniversityChengdu610065China State Key Laboratory of the Control and Simulation of Power Systems and Generation Equipment Tsinghua UniversityBeijing 100087China State Key Laboratory of Internet of Things for Smart City University of MacaoMacao999078China Department of Electrical Engineering Tsinghua UniversityBeijing100087China

Stochastic differential equation (SDE)-based random process models of renewable energy sources (RESs) jointly capture evolving probability distribution and temporal correlation in continuous time. It enabled recent studies to remarkably improve performance of power system dynamic uncertainty quantification and optimization. However, considering the non-homogeneous random process nature of PV, there still remains a challenging question: how can a realistic and accurate daily SDE model for PV power be obtained that reflects its weather-dependent and non-Gaussian uncertainty in operation, especially when high-resolution numerical weather prediction (NWP) or sky imager is unavailable for many distributed plants? To fill this gap, this article finds that an accurate SDE model for PV power can be constructed only using the data from low-resolution public weather reports. Specifically, for each day, an hourly parameterized Jacobi diffusion process recreates temporal patterns of PV volatility. Its parameters are mapped from the day's public weather reports to reflect varying weather conditions using a simple learning model. The SDE model jointly captures intraday and intrahour volatility. Statistical examination shows that the proposed approach outperforms a selection of the latest deep learning-based time series models on real-world data collected in Macao.

关键词： Photovoltaic(PV)power random process stochastic differential equation(SDE) stochastic optimization time series modeling uncertainty quantification weather report

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Integrated Motion control of Interaction Safety, Stability and Path-tracking for Front-and-Rear-Independent-Drive Electric Vehicle

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IEEE Transactions on Transportation Electrification 2025年第3期11卷 8573-8583页

作者： Zeng, X.H. Duan, C.S. Song, D.F. Qian, Q.F. Yang, D.P. Zhang, X.M. Jilin University State Key Laboratory of Automotive Simulation and Control Changchun130022 China Automobile and Traffic Engineering Jiangsu University Jiangsu China

Under two vehicle interaction scenarios, the uncertain motion states of traffic participants pose significant challenges to the safety of autonomous vehicles (AVs), and AVs are susceptible to instability with emergency avoidance constraint. To address this issue, an integrated motion control of interaction safety, stability and path-tracking is proposed for front-and-rear-independent-drive electric vehicle (FRIDEV). First, a control oriented longitudinal-lateral coupled dynamic model is established. Then, a variable step model predictive control is designed to solve multi-objective optimization problems, which mainly include two parts: (i) adaptive adjustment of stability weight by an improved phase plane method, and (ii) adding an interactive safety constraint to motion control by backward reachability analysis. Finally, simulation results show that the proposed controller can effectively utilize the longitudinal and lateral tire forces and achieve an balance between stability and tracking accuracy, and reduce collision risk in the interactive scenario with milder control actions. Moreover, the hardware-in-the-loop test demonstrates that the proposed controller is effective in the real-time environment. © 2015 IEEE.

关键词： Predictive control systems

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Promotional effect of stannum on Pd/CeO_(2)catalysts for CO and C_(3)H_(6)co-oxidation

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Journal of Rare Earths 2025年第3期43卷 508-515,I0003页

作者： Congwei Liu Jie Li Meng Wang Jieying Cai Miaomiao Liu Yulong Shan Yan Zhang Wenpo Shan Center for Excellence in Regional Atmospheric Environment and Key Laboratory of Urban Pollutant Conversion Institute of Urban EnvironmentChinese Academyof SciencesXiamen361021China Zhejiang Key Laboratory of Urban Environmental Processes and Pollution Control Ningbo Urban Environment Observation and Research StationInstitute of Urban EnvironmentChinese Academy of SciencesNingbo315800China University of Chinese Academy of Sciences Beijing100049China State Key Joint Laboratory of Environment Simulation and Pollution Control Research Center for Eco-Environmental SciencesChinese Academyof SciencesBeijing100085China

The successful control of hydrocarbon and CO emissions from low-temperature diesel exhausts requires the use of highly active co-oxidation *** this study,Sn was used to enhance the catalytic performance of Pd/CeO_(2)in CO and C_(3)H_(6)co-oxidation ***_(2)with added stannum(Sn)was prepared as a support using the co-precipitation method,and Pd was loaded onto the support using the impregnation *** Sn addition(the optimal Ce/Sn ratio is 0.75:0.25),the T_(50)values of CO and C_(3)H_(6)are reduced by 20 and 32℃,respectively.A series of characterization methods indicates that the addition of Sn to the support greatly enhances its lattice oxygen mobility and increases the proportion of *** the co-oxidation process,stronger lattice oxygen mobility allows CO to react faster through the Mars-van Krevelen mechanism,weakening the competition with C_(3)H_(6)for O_(2).A higher PdO content enhances the C_(3)H_(6)oxidation ***,CO can more readily reduce PdO than Pd^(2+)in solid solution with the support,which consequently further enhances co-oxidation ***,the addition of Sn is a simple and effective strategy for enhancing the performance of Pd/CeO_(2)catalysts in CO and C_(3)H_(6)co-oxidation ***,the promotional effect of CO achieved in this study contributes to a deeper understanding of the interactions that occur during the co-oxidation of C_(3)H_(6)and CO.

关键词： CO and C_(3)H_(6)co-oxidation Pd/CeSn Oxygen mobility Pd species Rare earths

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Rapid reduction of air pollution and short-term exposure risks in China

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Journal of Environmental Sciences 2025年第3期149卷 126-138页

作者： Hao Fan Chuanfeng Zhao Yikun Yang Xingchuan Yang State Key Joint Laboratory of Environmental Simulation and Pollution Control School of EnvironmentBeijing Normal UniversityBeijing 100875China Laboratory for Climate and Ocean-Atmospheric Studies Department of Atmospheric and Oceanic SciencesSchool of PhysicsPeking UniversityBeijing 100871China College of Resource Environment and Tourism Capital Normal UniversityBeijing 100048China

With the continuous control of anthropogenic emissions,China’s air quality has improved significantly in recent *** this background,research on how the short-term exposure risks caused by air pollution in China have changed is *** study utilized hourly concentration data from ground observation stations and the official air quality guidelines of the Ministry of Ecology and Environment of China and the World Health Organization as standards to systematically investigate the spatiotemporal characteristics and short-term exposure risks of air pollution in China from 2015 to *** results indicate that various atmospheric pollutants except for ozone showed a decreasing trend ***,both single pollutant air pollution days(SAPDs)and multiple pollutant air pollution days(MAPDs)showed varying degrees of reduction within 15 and 25 days,*** was dominated mainly by excessive PM_(2.5)and PM_(10)pollutants,while MAPD was dominated mainly by excessive pollutant combinations,including PM_(2.5)+PM_(10),CO+PM_(2.5)+PM_(10),and SO_(2)+PM_(2.5)+PM_(10).As the concentration of atmospheric pollutants decreased,the total excess risk(ER)decreased yearly from 2015 to 2022,but there were significant regional ***,the ER is less than 0.25%in southern China,in the range of 0.25%-0.5%in the North China Plain and some cities in the northeast,and higher than 1%in the *** matter is currently the primary pollutant posing short-term exposure risk in China,especially due to the impact of sandstorm *** study indicates that China’s atmospheric cleaning action is significantly beneficial for reducing health risks.

关键词： Air pollution Emission-reduction Total excess risk Particulate matter China

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Research on the Emissions and Fuel Efficiency Sensitive Factors of Gasoline Engine Using a Support Vector Machine Coupling Sobol Method

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Journal of Energy Resources Technology, Part A: Sustainable and Renewable Energy 2025年第3期1卷 031201页

作者： Li, Yinlong Han, Yongqiang Zhang, Kechao State Key Laboratory of Automotive Simulation and Control Jilin University Changchun 130025 China

With the increasing prominence of energy and environmental issues, research in the field of internal combustion engines is becoming more and more refined. Engines are affected by the coupling of many factors, and it is necessary to decouple and quantify the impact of inputs on the objectives. In this paper, the effect of engine configuration parameters, operating conditions, and fuel parameters on fuel efficiency and emissions was investigated based on a support vector machine coupling Sobol method. The results of Sobol sensitivity analysis show that the most sensitive parameters for both brake specific fuel consumption and carbon monoxide emission are excess air ratio, total hydrocarbon emission and nitrogen oxides emission, engine load, and intake pressure; the first-order indices are 0.72, 0.27, 0.17, and 0.20, respectively. The most sensitive combustion parameters are maximum pressure in the cylinder, indicated mean effective pressure, maximum temperature in the cylinder, and high-temperature range, and the first-order indices are 0.40, 0.25, 0.39, and 0.57, respectively. It can be summarized through all the Sobol indices that, on the one hand, some input parameters, such as excess air ratio, affect fuel efficiency and emissions through the combustion process and, on the other hand, such as oxygen mass fraction directly affects carbon monoxide emission and total hydrocarbon emission by affecting the oxygen concentration in the cylinder. Sensitivity analysis based on the Sobol method coupling support vector machine was proved to be feasible and will provide valuable guidance for the optimization of internal combustion engines.

关键词： Sobol sensitivity analysis emissions support vector machine fuel efficiency agent-based model

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SolarDesign:An online photovoltaic device simulation and design platform

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Chinese Physics B 2025年第1期34卷 135-141页

作者： Wei E.I.Sha Xiaoyu Wang Wenchao Chen Yuhao Fu Lijun Zhang Liang Tian Minshen Lin Shudi Jiao Ting Xu Tiange Sun Dongxue Liu College of Information Science and Electronic Engineering Zhejiang UniversityHangzhou 310027China State Key Laboratory of Integrated Optoelectronics Key Laboratory of Automobile Materials of MOEKey Laboratory of Material Simulation Methods&Software of MOESchool of Materials Science and EngineeringJilin UniversityChangchun 130012China ZJU-UIUC Institute International CampusZhejiang UniversityHaining 314400China Key Laboratory of Superhard Materials College of PhysicsJilin UniversityChangchun 130012China College of Electrical Engineering Zhejiang UniversityHangzhou 310027China Science and Technology Research Institute China Three Gorges CorporationBeijing 101199China

Solar Design(https://***/)is an online photovoltaic device simulation and design platform that provides engineering modeling analysis for crystalline silicon solar cells,as well as emerging high-efficiency solar cells such as organic,perovskite,and tandem *** platform offers user-updatable libraries of basic photovoltaic materials and devices,device-level multi-physics simulations involving optical–electrical–thermal interactions,and circuit-level compact model simulations based on detailed balance *** internationally advanced numerical methods,the platform accurately,rapidly,and efficiently solves optical absorption,electrical transport,and compact circuit *** achieves multi-level photovoltaic simulation technology from“materials to devices to circuits”with fully independent intellectual property *** to commercial softwares,the platform achieves high accuracy and improves speed by more than an order of ***,it can simulate unique electrical transport processes in emerging solar cells,such as quantum tunneling,exciton dissociation,and ion migration.

关键词： photovoltaic device simulation silicon solar cells organic and perovskite solar cells multi-physics and circuit simulation

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