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DG Hosting Capacity Assessment Considering Dependence Among Wind Speed,Solar Radiation,and Load Demands

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CSEE Journal of Power and Energy Systems 2024年第3期10卷 1011-1025页

作者： Junyi yang Jiangmin Bao Yuhan Hou han Wu Qiang Li Yue yuan Hohai University Nanjing 211100China State Grid Jiangsu Electric Power Co. Ltd.Suzhou Power Supply BranchSuzhou 215004China Nanjing Institute of Technology Nanjing 211167China Electric Power Research Institute of State Grid Jiangsu Electric Power Co.Ltd. Nanjing 211103China IEEE CSEE

Dependence of distributed generation(DG)outputs and load plays an essential role in renewable energy *** paper presents a novel DG hosting capacity(DGHC)evaluation method for distribution networks considering highdimensional dependence relations among solar radiation,wind speed,and various load types(i.e.,commercial,residential,and industrial).First,an advanced dependence modeling method called regular vine(R-vine)is applied to capture the complex dependence structure of solar radiation,wind speed,commercial loads,industrial loads,and residential ***,a chanceconstrained DGHC evaluation model is employed to figure out maximum hosting capacity of each DG and its optimal allocation plan with different operational ***,a Benders decomposition algorithm is also employed to reduce computational *** proposed approaches are validated using a set of historical data from *** show dependence among different DGs and loads has significant impact on hosting *** also suggest using the R-vine model to capture dependence among distributed energy resources(DERs)and *** finding provides useful advice for distribution networks in installing renewable energy generations.

关键词： Benders decomposition correlation DG hosting capacity regular vine

Noncovalent cross-linked engineering hydrogel with low hysteresis and high sensitivity for flexible self-powered electronics

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Journal of Energy Chemistry 2024年第7期94卷 136-147页

作者： hang yuan Shaowei han Jia Wei Songwei Li Peipei yang Hao-yang Mi Chuntai Liu Changyu Shen National Engineering Research Center for Advanced Polymer Processing Technology Key Laboratory of Materials Processing and Mold(Ministry of Education)Zhengzhou UniversityZhengzhou450002HenanChina Yunnan TobaccoQuality Inspection&Supervision Station Kunming 650106YunnanChina

In this study,the hydrogel network was reinforced by covalent-like hydrogen bonding,and the strong binding ability of boron-nitrogen coordination served as the main driving *** them,acrylamide(AM)and 3-acrylamidophenylboronic acid(AAPBA)were the main body,and the numerous hydroxyl groups in the trehalose(Treh)molecule and other polymer groups formed strong hydrogen bonding interactions to improve the mechanical properties of the PAM/PAAPBA/Treh(PAAT)hydrogel and ensured the simplicity of the synthesis *** hydrogel possessed high strain at break(1239%),stress(64.7 kPa),low hysteresis(100%to 500%strain,corresponding to dissipation energy from 1.37 to 7.80 kJ/m^(3)),and outstanding cycling stability(retained more than 90%of maximum stress after 200 ten-sile cycles).By integrating carbon nanotubes(CNTs)into PAAT hydrogel(PAATC),the PAATC hydrogel with excellent strain response performance was successfully *** PAATC conductive hydro-gel exhibited high sensitivity(gauge factor(GF)=10.58 and sensitivity(S)=0.304 kPa^(-1)),wide strain response range(0.5%-1000%),fast response time(450 ms),and short recovery time(350 ms),excellent fatigue resistance,and strain response ***,the PAATC-based triboelectric nanogener-ator(TENG)displayed outstanding energy harvesting performance,which shows its potential for appli-cation in self-powered electronic devices.

关键词： Low hysteresis Covalent-like hydrogen bonding Boron-nitrogen coordination Hydrogel sensor Triboelectric nanogenerator

Assessing clogging potential and optimizing driving parameter of slurry shield tunneling in clay stratum assisted with CFD-DEM modeling

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Underground Space 2024年第1期14卷 197-218页

作者： Yi yang Xing-gao Li han-yuan Li Yi-dong Guo Ying-ran Fang Key Laboratory of Urban Underground Engineering of the Education Ministry Beijing Jiaotong UniversityBeijing 100044China School of Civil Engineering Beijing Jiaotong UniversityBeijing 100044China

This paper proposed a two-way coupled computational fluid dynamics(CFD)and discrete element method(DEM)approach to analyze the evolution of clogging in slurry shield tunneling *** interactions between clay particles and slurry were considered by exchanging three interaction forces,including buoyancy force,pressure gradient force,and drag *** CFD-DEM coupling approach was first benchmarked by comparing cutterhead torque and total thrust with field monitored data of a practical slurry shield tunnel *** evolution process of the particle phase and the fluid phase over time was *** results indicated that fewer than 70%of the particles can be washed away in time by the circulating *** 9%of the particles adhered to the submerged wall,resulting in increased cutterhead torque and *** parametric analysis,the influence of the shield driving parameters on the clay clogging behavior is further *** time history of cutterhead torque or thrust can be used as a criterion for judging whether clogging has ***,a new assessment method of clogging risk and an optimization strategy of driving parameters were proposed,which were intended to provide some guidance for similar projects.

关键词： Slurry shield Clogging Driving parameter optimization Assessment method CFD-DEM

Effect of electrolyte cation-mediated mechanism on electrocatalytic carbon dioxide reduction

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Chinese Chemical Letters 2024年第7期35卷 139-146页

作者： yuan Dong Mutian Ma Zhenyang Jiao Sheng han Likun Xiong Zhao Deng yang Peng Soochow Institute of Energy and Material Innovations College of EnergyJiangsu Key Laboratory of Advanced Carbon Materials and Wearable Energy TechnologiesSoochow UniversitySoochow 215006China Jiangsu Key Laboratory of Advanced Negative Carbon Technologies Soochow UniversitySoochow 215123China School of Chemistry and Chemical Engineering Shihezi UniversityShihezi 832003China School of Chemical and Environmental Engineering Shanghai Institute of TechnologyShanghai 201418China

The steep reduction in costs and systematic optimization of renewable electricity has ignited an intensifying interest in harnessing electroreduction of carbon dioxide(CO_(2)RR)for the generation of chemicals and *** focus of research over the past few decades has been on the optimization of the electrode and the electrolyte ***,cation species in the latter have recently been found to dramatically alter the selectivity of CO_(2)RR and even their catalytic activity by multiple orders of *** a result,the selection of cations is a critical factor in designing catalytic interfaces with high selectivity and efficiency for targeted *** decision-making regarding cation selection relies on a comprehensive understanding of prevailing electrolyte effect models that have been used to elucidate observed experimental *** this perspective,we review the hypotheses that explain how electrolyte cations influence CO_(2)RR by mechanisms such as through tuning of the interfacial electric field,buffering of the local pH,stabilization of the key intermediates and regulation of the interfacial *** endeavor is to elucidate the molecular mechanisms underpinning cation effects,thus fostering the evolution of more holistic and universally applicable predictive *** this regard,we highlight the current challenges in this area of research,while also identifying potential avenues for future investigations.

关键词： CO_(2)electrocatalytic reduction Cation effects Catalytic mechanisms Catalytic interfaces Electric double layer

Machine learning enabling prediction in mechanical performance of Ti6Al4V fabricated by large-scale laser powder bed fusion via a stacking model

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Frontiers of Mechanical Engineering 2024年第4期19卷 29-43页

作者： Changjun han Fubao YAN Daolin yuan Kai LI Yongqiang yang Jiong ZhanG Di WANG School of Mechanical and Automotive Engineering South China University of TechnologyGuangzhou 510641China Department of Mechanical Engineering College of EngineeringCity University of Hong KongHong Kong 999077China

Determining appropriate process parameters in large-scale laser powder bed fusion(LPBF)additive manufacturing pose formidable challenges that necessitate advanced approaches to minimize trial-and-error during *** work proposed a data-driven approach based on stacking ensemble learning to predict the mechanical properties of Ti6Al4V alloy fabricated by large-scale LPBF for the first *** method can adapt to the complexity of large-scale LPBF data distribution and exhibits a more generalized predictive capability compared to base ***,the stacking model utilized artificial neural network(ANN),gradient boosting regressor,kernel ridge regression,and elastic net as base models,with the Lasso model serving as the *** optimization and cross-validation were utilized for model optimization and training based on a limited data set,resulting in higher predictive accuracy compared to traditional artificial neural network *** statistical analysis of the ANN and stacking models indicates that the stacking model exhibits superior performance on the test set,with a coefficient of determination value of 0.944,mean absolute percentage error of 2.51%,and root mean squared error of 27.64,surpassing that of the ANN *** statistical metrics demonstrate superiority over those obtained from the ANN *** results confirm that by integrating the base models,the stacking model exhibits superior predictive stability compared to individual base models alone,thereby providing a reliable assessment approach for predicting the mechanical properties of metal parts fabricated by the LPBF process.

关键词： machine learning laser powder bed fusion ensemble learning stacking algorithm additive manufacturing

Composite laminar membranes for electricity generation from water evaporation

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Nano Research 2024年第1期17卷 307-311页

作者： Xiao Wang Gang yuan han Zhou Yu Jiang Shuo Wang Jiaojiao Ma Chongyang yang Sheng Hu State Key Laboratory of Physical Chemistry of Solid Surfaces Collaborative Innovation Center of Chemistry for Energy Materials(iChEM)College of Chemistry and Chemical EngineeringXiamen UniversityXiamen 361005China Innovation Laboratory for Sciences and Technologies of Energy Materials of Fujian Province(IKKEM) Xiamen 361005China Pen-Tung Sah Institute of Micro-Nano Science and Technology Xiamen UniversityXiamen 361005China

Harvesting clean energy from water evaporation has been extensively investigated due to its *** achieve high efficiency,energy conversion materials should contain multiple features which are difficult to be simultaneously obtained from single-component *** we use composite laminar membranes assembled by nanosheets of graphene oxide and mica,and find a sustained power density induced by water evaporation that is two orders of magnitude larger than that from membranes made by either of the *** power output is attributed to selective proton transport driven by water evaporation through the interlayer nanochannels in the *** process relies on the synergistic effects from negatively charged and hydrophilic mica surfaces that are important for proton selectivity and water transport,and the tunable electrical conductivity of graphene oxide that provides optimized internal *** demonstrated composite membranes offer a strategy of enhancing power generation by combining the advantages from each of their components.

关键词： graphene oxide mica water evaporation electrical double layer surface charge ion selectivity

Analysis of the influencing factors and clinical related characteristics of pulmonary tuberculosis in patients with type 2 diabetes mellitus

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World Journal of Diabetes 2024年第2期15卷 196-208页

作者： han Shi yuan yuan Xue Li Yan-Fang Li Ling Fan Xue-Mei yang Department of Infectious Diseases The First Affiliated Hospital of Chengdu Medical CollegeChengdu 610500Sichuan ProvinceChina

BACKGROUND In China,the prevalence of type 2 diabetes mellitus(T2DM)among diabetic patients is estimated to be between 90%-95%.Additionally,China is among the 22 countries burdened by a high number of tuberculosis cases,with approximately 4.5 million individuals affected by active ***,T2DM poses a significant risk factor for the development of tuberculosis,as evidenced by the increased incidence of T2DM coexisting with pulmonary tuberculosis(T2DMPTB),which has risen from 19.3%to 24.1%.It is evident that these two diseases are intricately interconnected and mutually reinforcing in *** To elucidate the clinical features of individuals diagnosed with both T2DM and tuberculosis(T2DM-PTB),as well as to investigate the potential risk factors associated with active tuberculosis in patients with *** T2DM-PTB patients who visited our hospital between January 2020 and January 2023 were selected as the observation group,Simple DM patients presenting to our hospital in the same period were the control group,Controls and case groups were matched 1:2 according to the principle of the same sex,age difference(±3)years and disease duration difference(±5)years,patients were investigated for general demographic characteristics,diabetes-related characteristics,body immune status,lifestyle and behavioral habits,univariate and multivariate analysis of the data using conditional logistic regression,calculate the odds ratio(OR)values and 95%CI of OR *** A total of 315 study subjects were included in this study,including 105 subjects in the observation group and 210 subjects in the control *** of the results of both anthropometric and biochemical measures showed that the constitution index,systolic blood pressure,diastolic blood pressure and lymphocyte count were significantly lower in the case group,while fasting blood glucose and high-density lipoprotein cholesterol levels were significantly higher than those in the control ***

关键词： Type 2 diabetes Pulmonary tuberculosis Blood sugar Infection Risk factors

Research advancement of DNA-based intelligent hydrogels:Manufacture, characteristics, application of disease diagnosis and treatment

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Chinese Chemical Letters 2024年第10期35卷 92-101页

作者： Zhe-han yang Jie Yin Lei Xin yuanfang Li Yijie Huang Ruo yuan Ying Zhuo Chongqing Key Laboratory of Catalysis and Functional Organic Molecules College of Environment and ResourcesChongqing Technology and Business UniversityChongqing 400067China Key Laboratory of Luminescence and Real-Time Analytic Chemistry(Southwest University) Ministry of EducationCollege of Chemistry and Chemical EngineeringSouthwest UniversityChongqing 400715China

DNA-based hydrogels are exceptional materials for biological applications because of their numerous advantages such as biodegradability,biocompatibility,hydrophilicity,super absorbency,porosity,and *** these advantages,the ability of DNA-based hydrogels to respond to specific physical and chemical triggers and undergo reversible phase transitions has garnered significant attention in the fields of disease diagnosis(biosensors)and treatment(drug delivery).This article focuses on the recent advancements in the research of DNA-based hydrogels and discusses the different types of these hydrogels,the synthetic methods,their unique properties,and their applications in biosensors and drug *** types of DNA hydrogels are categorized based on their building blocks,and the process of synthesis as well as the unique characteristics of DNA-based hydrogels are ***,DNA-based responsive hydrogels utilized as intelligent materials for the development of biosensors are ***,this article also presents the current status of DNA-based responsive hydrogels in drug delivery for cancer treatment,wound healing,and other therapeutic ***,this paper discusses the current challenges in expanding the practical application of DNA-based hydrogels.

关键词： DNA-based hydrogel Intelligent hydrogel Manufacture Characteristics Diseasediagnosis and treatment

Framework of treating Alzheimer’s dementia

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Brain Science Advances 2019年第2期5卷 82-93页

作者： yuan-han yang Rajka Liscic Jacqueline Dominguez Department of Neurology Kaohsiung Municipal Ta-Tung HospitalTaiwanChina Department of Neurology Kaohsiung Medical University HospitalKaohsiungTaiwanChina Neuroscience Research Center Kaohsiung Medical UniversityKaohsiung CityTaiwanChina Department of Neurology Johannes Kepler University LinzAustria Institute for Neurosciences St.Luke's Medical CenterQuezon CityPhilippines

Current treatment paradigm in Alzheimer’s disease(AD)involves multiple approaches combining pharmacological and nonpharmacological intervention to mitigate the clinical symptoms,slow the progressive loss of cognitive and functional abilities,or modify the disease *** far,beyond anti-cholinesterase inhibitors(ACh EIs),donepezil,rivastigmine,galantamine,and antagonist of N-methyl-D-aspartic acid(NMDA)receptor,there are no newly approved medicines to treat *** pharmacological treatment,the personal characteristic and the intra-individual therapeutic evaluations to examine various cognitive domains,behavioral and psychological problems,and global function should be considered when choosing any of ACh *** use of optimal dosage referring to the expected clinical outcomes and currently reported deficits from patient with AD has become an important issue in clinical *** and maintaining a strong therapeutic alliance to physician,patient,and caregiver is crucial and central to the comprehensive care in AD.

关键词： donepezil rivastigmine galantamine memantine Alzheimer’s disease