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22nd International Symposium on High Voltage Engineering, ISH 2021

作者： Chen, Jianning Zhou, Yuanxiang Zhang, Yunxiao Huang, Xin Zhang, Ling State Key Laboratory of Control and Simulation of Power System and Generation Equipment Department of Electrical Engineering Tsinghua University Beijing China

ISBN: (纸本)9781839536052

Surface discharge of oil paper insulation is one of the insulation defects in converter transformers. However, the mechanism of surface discharge in oil paper insulation remains unclear. A novel method of surface discharge in oil paper insulation based on finite element method (FEM) and cellular automata (CA) was proposed to study the mechanism and fractal characteristics. Firstly, the needle-plate electrode without normal component of electric field density was adopted as the geometric model, on which the unstructured triangular mesh generation was performed. Then, the FEM is applied to compute the distribution of potential, electric field and charge in the simulated field, which performed better than finite difference method (FDM) in accuracy and complexity of computation. Finally, the CA model was adopted to simulate the development of surface discharge with the electric field threshold. The results indicated that the numerical simulation model based on FEM-CA can simulate the dynamic process and fractal characteristics of surface discharge in oil paper insulation. According to the fractal dimension curve, the surface discharge can be obviously divided into three stages: inception, propagation and flashover. With the increase of applied voltage, the fractal dimension of surface discharge increases in inception stage, then decreases in propagation stage, and finally increases in flashover stage. © 2021 The Institution of Engineering and Technology.

关键词： Cellular automata

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Flow Analysis and Optimization of the Air channel of Drying Chamber Based on CFD 2

Flow Analysis and Optimization of the Air channel of Drying ...

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2nd International Seminar on Computer Science and Engineering Technology, SCSET 2020

作者： Li, Ming Liu, Jianqiao Niu, Hongwei Jiang, Yan State Key Laboratory of Automotive Simulation and Control Jilin University Changchun China Fawer Automotive Parts Limited Company China

According to the structure of the air channel in the drying chamber of an automobile factory, a model of the original structure of the drying chamber was established. The air flow of this structure is analyzed based on the CFD simulation, and the velocity at specific points of the car shell being dried is also analyzed. The results show that the original drying chamber structure is optimized, the air flow is uniform in the drying air chamber and short circuit of air between inlet and outlet in the drying chamber is decreased. © Published under licence by IOP Publishing Ltd.

关键词： Air

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Formation mechanism and control strategy for particulate nitrate in China

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Journal of Environmental Sciences 2023年第1期123卷 476-486页

作者： Haichao Wang Keding Lu Zhaofeng Tan Xiaorui Chen Yuhan Liu Yuanhang Zhang School of Atmospheric Sciences Sun Yat-sen UniversityGuangzhou 510275China State Key Joint Laboratory of Environmental Simulation and Pollution Control College of Environmental Sciences and EngineeringPeking UniversityBeijing 100871China Institute of Energy and Climate Research IEK-8:TroposphereForschungszentrum Jülich GmbHJülich 52428Germany Department of Civil and Environmental Engineering The Hong Kong Polytechnic UniversityHong Kong 999077China China Institute of Atomic Energy Beijing 100193China

Over the past decade,fine particulate matter(PM)pollution in China has been abated significantly,benefiting from strict emission control measures,but particulate nitrate continues to ***,we review the progress in particulate nitrate(p NO3-)pollution characterization,nitrate formation mechanisms,and the proposed control strategies in *** spatial and temporal distributions of p NO3-are *** current status of knowledge on the chemical mechanism is updated,and the significance of its formation pathways is assessed by various approaches such as field observation and modelling of nitrate production rate,as well as isotopic *** factors impacting p NO3-formation and the corresponding pollution regulation strategies are discussed,in which the importance of atmospheric oxidation capacity and ammonia are ***,the challenges and open questions in p NO3-pollution control in China are outlined.

关键词： Particulate nitrate Reactive nitrogen Particulate matter Formation mechanism Air pollution control

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Active Support Performance Test of Grid-connected Photovoltaic System Based on Grid-forming control 3

Active Support Performance Test of Grid-connected Photovolta...

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3rd International Conference on Intelligent Power and Systems, ICIPS 2023

作者： Xi, Xinze Hu, Yun Xing, Chao Guo, Qi Xu, Shoudong Tu, Liang He, Peng Zhu, Yihua Su, Mingzhang Luo, Chao Yunnan Electric Power Research Institute Kunming China National Energy Power Grid Technology R&D Centre Guangzhou China State Key Laboratory of HVDC Electric Power Research Institute CSG Guangzhou China Guangdong Provincial Key Laboratory of Intelligent Operation and Control for New Energy Power System Guangzhou China CSG Key Laboratory for Power System Simulation Electric Power Research Institute China Southern Power Grid Guangzhou China

ISBN: (纸本)9798350328691

With the continuous increase penetration of new energy, the integration of grid-following (GFL) converter is prone to frequency stability issue, while the utilization of grid-forming (GFM) converter with active support capability has become an inevitable trend in development. In this paper, the model of grid-connected photovoltaic system using GFL/GFM control is established. The support characteristic of GFM is compared and analyzed in different testing scenarios with GFL as the reference: (1) Small disturbance test (2) Large disturbance test (3) Island capability test. Finally, the active support performance of the system is quantitatively analyzed based on corresponding evaluation indexes. ©2023 IEEE.

关键词： Power converters

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Autonomous Vehicle Path Tracking control based on Adaptive Dynamic Programming

Autonomous Vehicle Path Tracking Control based on Adaptive D...

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Conference on Vehicle control and Intelligence (CVCI)

作者： Hongyan Guo Guangyao Li Jun Liu Zhongqiu Tan Dachuan Yu Yiming Zhang State Key Laboratory of Automotive Simulation and Control and the College of Communication Engineering Jilin University Changchun China College of Communication Engineering Jilin University Changchun China State Key Laboratory of Automotive Simulation and Control Jilin University Changchun China SAIC Motor R&D Innovation Headquarter Shanghai China

This paper presents a path tracking control method for autonomous vehicles by utilizing Adaptive Dynamic Programming (ADP). The primary goal is to enhance the path tracking performance under various longitudinal speeds. The proposed approach incorporates the consideration of nonlinear tire characteristics and establishes a nonlinear vehicle system model based on the fundamental principles of vehicle dynamics. By formulating a performance index function that captures the correlation between the vehicle’s position and desired paths, the optimal control strategy is obtained using the Dual Heuristic Programming algorithm (DHP), known for its computational efficiency, within the ADP framework. The simulation results verify the effectiveness of the proposed path tracking control scheme, which can have better control performance under different vehicle speeds.

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Improved PM2.5 prediction with spatio-temporal feature extraction and chemical components: The RCG-attention model

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Science of the Total Environment 2024年 955卷 177183页

作者： Li, Ao Wang, Yafei Qi, Qianqian Li, Yunfeng Jia, Haixia Zhou, Xin Guo, Haixin Xie, Shuyang Liu, Junfeng Mu, Yujing Beijing Institute of Petrochemical Technology China Beijing Daxing District Ecology and Environment Bureau China Agro-Environmental Protection Institute Ministry of Agriculture and Rural Affairs Tianjin300191 China State Key Joint Laboratory of Environment Simulation and Pollution Control Research Center for Eco-environmental Sciences Chinese Academy of Sciences Beijing100085 China State Key Joint Laboratory of Environment Simulation and Pollution Control College of Environmental Sciences and Engineering Peking University Beijing100871 China

Deep learning models are widely used for PM2.5 prediction. However, neglecting temporal and spatial characteristics leads to low prediction accuracy. In this work, a new deep learning model (RCG - Attention model) was developed, which combines the residual neural network (ResNet) and the convolution gated recurrent network (ConvGRU) and is applied to extract the spatio - temporal features for predicting PM2.5 concentration over the subsequent 24 h. The ResNet extracts the spatial distribution features of pollutants, and the ConvGRU extracts temporal features. The spatial and temporal features are fused by the multi - head attention mechanism to obtain multi - dimensional features. These features are finally fed into a series of fully connected layers to predict the future results. Incorporating these chemical components enhances the scientific validity of the dataset and strengthens the inherent logical connections among variables. The Mean Absolute Error (MAE), Mean Absolute Percentage Error (MAPE), Root Mean Square Error (RMSE), and R - squared (R2) results indicate that the prediction performance of the RCG - Attention model surpasses that of other baseline models. The model demonstrates superior prediction performance across multiple monitoring stations, suggesting robust generalization capabilities and adaptability for various regions in one city. The SHAP results show that PM10, NO2, RH, NO3−, OC and NH4+ are significant influencing features. The RCG - Attention model provides a comprehensive solution for PM2.5 concentration prediction by integrating spatial and temporal feature extraction with chemical components. © 2024 Elsevier B.V.

关键词： Prediction models

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Grey Prediction Based Input–Output Model for Analyzing Potential Energy-Related Emission Mitigation Pathways: A Case Study of Fujian 14th

Grey Prediction Based Input–Output Model for Analyzing Pote...

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14th International Conference on Environmental Science and Technology, ICEST 2023

作者： Sun, Z.M. Liu, J. Li, Y.P. School of Environmental Science and Engineering Xiamen University of Technology Xiamen361024 China State Key Joint Laboratory of Environmental Simulation and Pollution Control School of Environment Beijing Normal University Beijing100875 China Faculty of Engineering and Applied Science University of Regina ReginaSKS4S 0A2 Canada

ISBN: (纸本)9783031546839

Economic activities release pollutants and carbon (mainly CO2) directly by consuming energy resources and indirectly by using energy-intensive goods. This research put forwards a grey model (GM) (1, 1) based input–output model (GIOM) for simulating pollutants and CO2 emissions in Fujian Province under varied socio-economic development scenarios. Major findings are: (i) in the planning period, Agriculture, forestry, animal husbandry and fishery (AGR) is the main sector for wastewater emissions in the planning period, and manufacturing and materials and energy conversion (MEC) sectors will be the main sectors for emissions of waste gases and CO2 in the planning period;(ii) through the simulation, the total energy consumption in Fujian Province increases by 13.53–51.08%, Metal and nonmetal products (MAN), MEC and Wholesale and retail transportation and warehousing (WRT) are the main energy consumers;(iii) the COD, NH3–N, SO2, and NOx emissions decrease 24.55–70.11%, 24.53–70.83%, 27.11–70.55% and 22.47–72.00% over time, and the CO2 emissions range from an increase of 36.35% to a decrease of 5.98% over time. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

关键词： Carbon dioxide

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Uncovering the evolution of tin use in the United states and its implications

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Frontiers of Environmental Science & Engineering 2021年第6期15卷 281-291页

作者： Congren Yang Xianlai Zeng Haodong Li Zuyuan Tian Wei Liu Wenqing Qin Jinhui Li School of Minerals Processing and Bioengineering Central South UniversityChangsha 410083China State Key Joint Laboratory of Environment Simulation and Pollution Control School of EnvironmentTsinghua UniversityBeijing 100084China Key Laboratory of Hunan Province for Clean and Efficient Utilization of Strategic Calcium-containing Mineral Resources Central South UniversityChangsha 410083China

Tin is of key importance to daily life and national security;it is considered an essential industrial *** United states(US)is the world’s largest economy and consumer of natural ***,the analysis of historical tin use in the US is helpful for understanding future tin use trends in the world as a whole and in developing *** series analysis,regression analysis with GDP or GDP/capita,and historical data fitted with logistic and Gompertz models are employed in this *** tin use in the US shows three stages-increase-constant-decrease,as GDP per capita has *** use in the US is negatively correlated with the GDP value added by the manufacturing sector,while the use of tin worldwide and in China continues to increase along with the GDP value added by the manufacturing *** a sigmoid curve can fit the US tin use data well,that use is not directly related to the limited tin reserves or ***,policies,economic restructuring,substitutions,new end-use markets,*** played key roles in the changing tin use *** work contributes to understanding future tin use at both the global and national levels:tin use will continue to increase with GDP at the global level,but use patterns of tin at the national level can be changed through human intervention.

关键词： Tin use GDP Curve fitting Logistic model Gompertz model

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Pomelo Peel-Inspired 3D-Printed Porous Structure for Efficient Absorption of Compressive Strain Energy

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Journal of Bionic Engineering 2022年第2期19卷 448-457页

作者： Baisong Yang Wenhui Chen Renlong Xin Xiaohong Zhou Di Tan Chuan Ding You Wu Liang Yin Chuyang Chen Shan Wang Zhenglei Yu Jonathan TPham Sheng Liu Yifeng Lei Longjian Xue School of Power and Mechanical Engineering The Institute of Technological SciencesWuhan UniversitySouth Donghu Road 8Wuhan 430072HubeiChina State Key Laboratory of Automotive Simulation and Control and Key Lab of Bionic Engineering Ministry of EducationJilin UniversityChangchun 130022China School of Materials Science and Engineering Wuhan University of TechnologyWuhan 430070China Department of Chemical and Materials Engineering University of KentuckyLexingtonKY 40506USA

The porous structure in pomelo peel is believed to be responsible for the protection of its fruit from damage during the free falling from a *** quantitative understanding of the relationship between the deformation behavior and the porous structure could pave the way for the design of porous structures for efficient energy ***,a universal feature of pore distribution in pomelo peels along the radial direction is extracted from three varieties of pomelos,which shows strong correlation to the deformation behavior of the peels under *** by the porous design found in pomelo peels,porous polyether-ether-ketone(PEEK)cube is additively manufactured and possesses the highest ability to absorb energy during compression as compared to the non-pomelo-inspired geometries,which is further confirmed by the finite element *** nature-optimized porous structure revealed here could guide the design of lightweight and high-energy-dissipating materials/devices.

关键词： Bionic design Pomelo peel Porous structure 3D printing Energy absorption

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Emissions of volatile organic compounds from Chinese coal-fired power plants: Characteristics, source profile, inventories, and impacts

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Science of the Total Environment 2024年 947卷 174304页

作者： Fu, Zhiqiang Liu, Wei Bai, Xiaoxuan Yang, Junqi Wu, Bobo Tian, Hezhong State Key Joint Laboratory of Environmental Simulation & Pollution Control School of Environment Beijing Normal University Beijing100875 China Center for Atmospheric Environmental Studies Beijing Normal University Beijing100875 China

Volatile organic compounds (VOCs) are key precursors for secondary organic aerosols (SOA) and ozone, imposing severe impacts on human health and environment. Considering the massive coal consumption, coal fired power plants (CFPPs) in China are non-negligible VOCs contributors, whose emission characteristics remain inadequately understood. Here, we investigated emission characteristics of 117 VOCs by field tests in four typical CFPPs, and a latest localized CFPPs source profile was compiled by integrating literature reviews. Then speciated-VOCs emission inventories for 2018–2022 were established based on dynamic emission factors and unit-level activity data. The results suggested that oxygenated VOCs (OVOCs) constituted the dominant group (76.5 %), with propionaldehyde (32.0 %) and formaldehyde (24.5 %) being the predominant species. OVOCs (93.2 %) and aromatics (77.4 %) were identified as the primary contributors to ozone and SOA, respectively. Driven by both the rise in coal consumption and technological advancements, nationwide VOCs emissions decreased from 83,393 t in 2018 to 53,251 t in 2022. Regional disparities and varying rates of decline in provincial emissions were evident, with VOCs emissions predominantly concentrated in northern and eastern provinces. Neimenggu, Shandong, Shanxi, Jiangsu, and Guangdong were identified as the top five provinces with the highest emissions. We believe this study would be conducive to a more comprehensive understanding and effective control of VOCs emissions from CFPPs in China. © 2024 Elsevier B.V.

关键词： Coal fired power plant

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