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Tuning the catalytic selectivity in electrochemical CO2 reduction on copper oxide-derived nanomaterials

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Frontiers of Environmental Science & Engineering 2015年第5期9卷 861-866页

作者： Jiafang XIE yuxi HUANG hanqing yu Department of Chemistry University of Science and Technology of China Hefei 230026 China

Electrochemical conversion of CO2 to hydrocarbons can relieve both environmental and energy stresses. However, electrocatalysts for this reaction usually suffer from a poor product selectivity and a large overpotential. Here we report that tunable catalytic selectivity for hydrocarbon formation could be achieved on Cu nanomaterials with different morphologies. By tuning the electrochemical parameters, either Cu oxide nanowires or nanoneedles were fabricated and then electrochemically reduced to the corresponding Cu nanomaterials. The Cu nanowires preferred the formation of C2H4, while the Cu nanoneedles favored the production of more CH4, rather than C2H4. Our work provides a facile synthetic strategy for preparing Cu-based nanomaterials to achieve selective CO2 reduction.

关键词： electrochemical CO2 reduction Cu oxide,nanostructure selectivity hydrocarbon formation

Tuning of activated sludge in winter based on respirogram profiles under standard and site temperatures

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Journal of Environmental Sciences 2019年第5期31卷 330-338页

作者： Zhihua Li Zhenyu Hang Qian Zhang Shuangshuang Zhang Tianyu Zhang hanqing yu School of Environmental and Municipal Engineering Xi'an University of Architecture and Technology Department of Mathematical Sciences Montana State University CAS Key Laboratory of Urban Pollutant Conversion Department of Chemistry University of Science & Technology of China

Respirograms of activated sludge OUR_ x^Tand OUR_x^(20)were measured under site(T) and standard(20°C) temperatures, respectively, and the predicted standard temperature respirogram OUR_( x,cal)^(20)was also calculated using the Arrhenius equation. These respirogram profiles reveal more information than effluent quality. A decrease of OUR_ x ^(20)is a critical alarm signal for the loss of pollutant removal capacity, and a sudden increase of the predicted value OUR_( x,cal)^(20)is an alarm signal for the unrecoverable deterioration of biomass. The sign of OUR_x^(20)–OUR_(x,cal)^(20)can be used for selection of tuning strategies. For example, a negative value of OUR_x^(20)–OUR_( x,cal)^(20)indicates that doubling biomass is difficult,thus strategies such as extending the reaction time with limited available biomass is preferred. The findings in this study elucidated the respiration profile of activated sludge under changes of temperature and can be effectively used for the stable operation of Wastewater Treatment Plants under cold temperatures and seasonal variations.

关键词： Activated sludge Cold temperature shocking Oxygen uptake rate(OUR) Respirogram Seasonal variations

CLEAVAGE RUPTURE OF Ti ALLOY TC11 UNDER FATIGUE-CREEP INTERACTION

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Acta Metallurgica Sinica(English Letters) 1992年第5期5卷 341-344页

作者： ZHOU yu ZHO U Yigang yu hanqing Northwestern Polytechnical University,Xi’an,China Northwestern Polytechnical Univ Xi'an China

The cleavage rupture behaviour of the Ti alloy TC11 with various microstructures,i.e., equiaxed,duplex and interweaving,has been studied under fatigue-creep interaction at 520℃.It was found to be not only related to the rate of creep void initiating,but also control- led by the creep strain accumulation on holding under tension test and stress state at *** seem to be combinably offected by both value of critic void initiating strain and parameter,V_(GC),of critic void growth.

关键词： fatigue-creep interaction cleavage rupture void initiation void growth Ti alloy TC11

Distribution of 137Cs and 60Co in plough layer of farmland: Evidenced from a lysimeter experiment using undisturbed soil columns

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Pedosphere 2021年第1期31卷 180-190页

作者： Wenxiang LIU Yong LI hanqing yu Surinder SAGGAR Daozhi GONGI Qiong ZHANG lstiute of En/noumewr and Sutainable Doelopmen in Apriculure Chinese Academy of Agrcdtwrad Scences.Bejing 00081Chinma Guangd Uniwenin Naneing 530005China Maraak Whenan-Landcare Researh Priare Bog 11052Palmerston North 442New Zealand Minclear aud Radiaton Safr Cemer Minisry of Eviromensal Proecrion时ChinaBeijing 00002China

Radionuclide fallout during nuclear accidents on the land may impair the atmosphere, contaminate farmland soils and crops, and can even reach the groundwater. Previous research focused on the field distribution of deposited radionuclides in farmland soils, but details of the amounts of radionuclides in the plough layer and the changes in their proportional distribution in the soil profile with time are still inadequate. In this study, a lysimeter experiment was conducted to determine the vertical migration of 137Cs and 60Co in brown and aeolian sandy soils, collected from the farmlands adjoining Shidaowan Nuclear Power Plant(NPP) in eastern China, and to identify the factors influencing their migration depths in soil. At the end of the experiment(800 d), >96% of added 137Cs and 60Co were retained in the top 0–20 cm soil layer of both soils;very little 137Cs or 60Co initially migrated to 20–30 cm, but their amounts at this depth increased with time. The migration depth of 137Cs was greater in the aeolian sandy soil than in the brown soil during 0–577 d, but at the end of the experiment, 137Cs migrated to the same depth(25 cm) in both soils. Three phases on the vertical migration rate(v) of 60Co in the aeolian sandy soil can be identified: an initial rapid movement(0–355 d, v = 219 ± 17 mm year-1), followed by a steady movement(355–577 d, v = 150 ± 24 mm year-1) and a very slow movement(577–800 d, v = 107 ± 7 mm year-1). In contrast, its migration rate in the brown soil(v = 133 ± 17 mm year-1) was steady throughout the 800-d experimental period. The migration of both 137Cs and 60Co in the two soils appears to be regulated by soil clay and silt fractions that provide most of the soil surface area, soil organic carbon(SOC), and soil pH, which were manifested by the solid-liquid distribution coefficient of 137Cs and 60Co. The results of this study suggest that most 137Cs and 60Co remained within the top layer(0–20 cm depth) of farmland soils following a simulated NPP acc

关键词： aeolian sandy soil brown soil deposited radionuclide migration depth radionuclide vertical migration rate

End-cloud collaboration method enables accurate state of health and remaining useful life online estimation in lithium-ion batteries

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Journal of Energy Chemistry 2023年第7期82卷 1-17,I0001页

作者： Bin Ma Lisheng Zhang hanqing yu Bosong Zou Wentao Wang Cheng Zhang Shichun Yang Xinhua Liu School of Transportation Science and Engineering Beihang UniversityBeijing 102206China China Software Testing Center Beijing 100038China Institute for Clean Growth and Future Mobility Coventry UniversityCV15FBUnited Kingdom Dyson School of Design Engineering Imperial College LondonLondon SW72AZUK

Though the lithium-ion battery is universally applied,the reliability of lithium-ion batteries remains a challenge due to various physicochemical reactions,electrode material degradation,and even thermal *** estimation and prediction of battery health conditions are crucial for battery safety *** this paper,an end-cloud collaboration method is proposed to approach the track of battery degradation process,integrating end-side empirical model with cloud-side data-driven *** on ensemble learning methods,the data-driven model is constructed by three base models to obtain cloud-side highly accurate *** double exponential decay model is utilized as an empirical model to output highly real-time prediction *** Kalman filter,the prediction results of end-side empirical model can be periodically updated by highly accurate results of cloud-side data-driven model to obtain highly accurate and real-time ***,the whole framework can give an accurate prediction and tracking of battery degradation,with the mean absolute error maintained below 2%.And the execution time on the end side can reach 261μ*** proposed end-cloud collaboration method has the potential to approach highly accurate and highly real-time estimation for battery health conditions during battery full life cycle in architecture of cyber hierarchy and interactional network.

关键词： State of health Remaining useful life End-cloud collaboration Ensemble learningDifferential thermal voltammetry

Comparison between inhibitor and uncoupler for minimizing excess sludge production of an activated sludge process

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Frontiers of Environmental Science & Engineering 2007年第1期1卷 63-66页

作者： CHEN Guowei XI Pengge XU Deqian yu hanqing School of Civil Engineering Hefei University of TechnologyHefei 230092China Laboratory of Environment Engineering University of Science and Technology of ChinaHefei 230026China

In order to study the minimization of excess sludge production,the reduction in the excess sludge production in the presence of an inhibitor and uncoupler was studied in this *** experimental results show that such an addition could effectively reduce the production of excess *** the energy uncoupling model established in this work,energy uncoupling coefficient(Eu)was used to evaluate the reduction in excess sludge *** energy uncoupling coefficients in the presence of dinitrophenol(dNP),Zn^(2+),and Cu^(2+)was 0.75,0.46,and 0.18,*** analysis demonstrated that energy spilling occurred in the presence of dNP,and that dNP was an effective uncoupler for reducing the production of excess activated sludge without affecting the microbial respiration activity.

关键词： inhibitor uncoupler minimizing excess sludge production energy uncoupling coefficient

Application of deep learning for informatics aided design of electrode materials in metal-ion batteries

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Green Energy & Environment 2024年第5期9卷 877-889页

作者： Bin Ma Lisheng Zhang Wentao Wang hanqing yu Xianbin Yang Siyan Chen Huizhi Wang Xinhua Liu School of Transportation Science and Engineering Beihang UniversityBeijing102206China College of Automotive Engineering Jilin UniversityChangchun130022China Department of Mechanical Engineering Imperial College LondonLondonSW72BXUK

To develop emerging electrode materials and improve the performances of batteries,the machine learning techniques can provide insights to discover,design and develop battery new materials in high-throughput *** this paper,two deep learning models are developed and trained with two feature groups extracted from the Materials Project datasets to predict the battery electrochemical performances including average voltage,speciﬁc capacity and speciﬁc *** deep learning models are trained with the multilayer perceptron as the *** Bayesian optimization and Monte Carlo methods are applied to improve the prediction accuracy of *** on 10 types of ion batteries,the correlation coefﬁcients are maintained above 0.9 compared to DFT calculation results and the mean absolute error of the prediction results for voltages of two models can reach 0.41 V and 0.20 V,*** electrochemical performance prediction times for the two trained models on thousands of batteries are only 72.9 ms and 75.7 ***,the two deep learning models are applied to approach the screening of emerging electrode materials for sodium-ion and potassium-ion *** work can contribute to a high-throughput computational method to accelerate the rational and fast materials discovery and design.

关键词： Cathode materials Material design Electrochemical performance prediction Deep learning Metal-ion batteries

Novel sediment source fingerprinting quantifying erosion-induced total nitrogen and total phosphorus outputs from an intensive agricultural catchment,North China

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International Soil and Water Conservation Research 2023年第3期11卷 494-506页

作者： hanqing yu Joseph Adu-Gyamfi Suarau Odutola Oshunsanya Adrian Chappell Wenxiang Liu yu Zheng Tingting Xue Lee Heng Agricultural Clean Watershed Research Group Institute of Environment and Sustainable Development in AgricultureChinese Academy of Agricultural Sciences(CAAS)Haidian District100081BeijingChina International Atomic Energy Agency ViennaAustria Department of Agronomy University of IbadanNigeria School of Earth and Environmental Sciences Cardif UniversityCardifUK Chongqing Branch Institute Changjiang River Scientific Research InstituteChongqing400026China

Intensive farming is a primary cause of increased sediment and associated nitrogen(N)and phosphorus(P)loads in surface water *** their contributing sources,pathways and loads present major challenges in the high-intensity agricultural ***,we quantify the sediment sources and magnitude of sediment total N and total P from different sources using a novel application of compound-specific stable isotope(CSSI)and fallout radionuclides(FRNs)of^(137)cs and^(210)pbex in an intensive agricultural catchment in North *** sources from surface and sub-surface soils were estimated from FRNs fingerprint and accounted for 62±7%and 38±7%respectively,while surface soil from land uses that originated from hillslope were identified by CssI *** a novel application of FRNs and CSSI sediment fingerprinting techniques,the dominant sediment source was derived from maize farmland(44±0.1%),followed by channel bank(38±7%).The sedimentation rate(13.55±0.30 t ha^(-1)yr^(-1))was quantifed by the^(137)cs cores(0-60 cm)at the outlet of this *** total N and total P in sediment were both mostly derived from maize farmland and least from channel *** channel banks are significant sediment sources but contribute little to the input of sediment N and P for *** implies that chemically-applied farmlands are the main hotspots for catchment erosion control and pollution *** novel application of FRNs and CSSI techniques cost-effectively quantified sediment N and P loads from different sources with a single visit to the catchment,enabling rapid assessment for optimizing soil conservation strategies and land management practices.

关键词： Sediment sources Land use N and P loads Compound-specific stable isotope Falloutradionuclides

Enabling dendrite-free charging for lithium batteries based on transport-reaction competition mechanism in CHAIN framework

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Journal of Energy Chemistry 2022年第12期75卷 408-421,I0011页

作者： Lisheng Zhang Siyan Chen Wentao Wang hanqing yu Haicheng Xie Huizhi Wang Shichun Yang Cheng Zhang Xinhua Liu School of Transportation Science and Engineering Beihang UniversityBeijing 102206China College of Automotive Engineering Jilin UniversityChangchun 130022JilinChina Department of Mechanical Engineering Imperial College LondonLondon SW72BXUK Institute for Clean Growth and Future Mobility Coventry UniversityCoventryCV15FBUK

Worldwide trends in mobile electrification will skyrocket demands for lithium-based battery production,driven by the popularity of electric ***,both lithium metal batteries and lithium ion batteries face severe safety issues due to dendrite nucleation and growth *** deposition is significantly influenced by interfacial factors and charging *** this paper,an electrochemical model considering the internal and external factors is proposed based on Monte Carlo *** influence of internal solid electrolyte interphase(SEI)porosity,thickness and the external conditions on dendrite growth process is systematically *** simulation results support that the three factors investigated in this model could synergistically regulate the dendrite growth *** competition mechanisms are proposed to tailor lithium deposition for Li-based batteries and numerical solutions for variation pattern of dendrite growth with time are fitted.A three-step process describing kinetic process of lithium deposition is *** achieve dendrite-free charging process,charging strategies and emerging materials design should be considered,including physicochemical materials engineering,artificial SEI,and design for dynamic safety *** work could contribute to the foundation for insights of Li deposition mechanism,which is promising to provide guidelines for next-generation high-energy-density and safe batteries in CHAIN framework.

关键词： Li-based batteries Model Dendrite growth Synergistic adjustment Competition mechanism