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Synthesis of carbon nitride in potassium hydroxide molten salt for efficient uranium extraction from radioactive wastewater

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Frontiers of Environmental Science & Engineering 2024年第8期18卷 89-99页

作者： Shuang Liu Junhan Luo Daniel-James Maguire Liyuan Zheng Zhe Wang Yuexiang Lu Institute of Nuclear and New Energy Technology Tsinghua UniversityBeijing 100084China Nuclear Research Institute for Future Technology and Policy Seoul National UniversitySeoul 08826Republic of Korea Department of Earth Sciences University of CambridgeCambridge CB23EQUK The MOE Key Laboratory of Resources and Environmental System Optimization College of Environmental Science and EngineeringNorth China Electric Power UniversityBeijing 102206China

Photocatalysis-assisted removal of uranium has been proven as an effective method for the elimination of radioactive pollution from *** this work,carbon nitride materials were synthesized in potassium hydroxide(KOH)molten salt and applied to photocatalytic uranyl *** materials were confirmed to possess the triazine-s-heptazine structure by NMR,XPS and UV-Vis characterization,and exhibited a wider visible light absorption than graphitic carbon nitride(g-C_(3)N_(4)).The photocatalytic activity of the carbon nitride materials was tailored by varying the precursor mass *** carbon nitride obtained at 80%melamine as precursor(K-CN-80)exhibited the highest photocatalytic extraction ability and its photocatalytic reaction rate is 6.6 times faster than that of g-C_(3)N_(4).The influence of sacrificial agents was studied and the results showed that triethanolamine inhibited U(Ⅵ)photoreduction,but methanol can accelerate U(Ⅵ)photoreduction by consuming photogenerated *** unary KOH molten salt synthesis method has exceptional potential applications in the preparation of carbon nitrides,and the obtained products showed potential in extracting U(Ⅵ)from aqueous solutions for use in nuclear fuel industry and for U(Ⅵ)environmental pollution cleanup.

关键词： Uranium Carbon nitride Molten salt Photocatalysis Radioactive wastewater

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Molecular Dynamics Study of the Viscosity Characteristics of Soybean Oil-Based Natural Ester Insulating Oil

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IEEE Transactions on Dielectrics and electrical Insulation 2025年

作者： Zheng, Hanbo Lan, Hongce Wang, Ke Cai, Shengwei Yang, Tao Li, Yi Wang, Yang Guangxi University Guangxi Key Laboratory of Power System Optimization and Energy Technology Nanning53004 China China Electric Power Research Institute Beijing100192 China State Grid Corporation of China State Grid Henan Electric Power Research Institute Zhengzhou450000 China

Many studies have shown that natural ester insulating oil is an excellent transformer oil with a superior flash point, fire resistance, and renewability compared to mineral insulating oil. However, due to their molecular properties, the high viscosity of natural ester insulating oils results in poor heat transfer, limiting their safe application in transformers. In this paper, the viscosity values of the soybean oil-based natural ester insulating oil are measured experimentally in the temperature range of 293 K to 433 K. The micro-mechanisms affecting the viscosity of natural ester insulating oil are investigated in conjunction with molecular dynamics simulations. We also conducted a correlation analysis between specific heat and viscosity and the simulation results. In addition, the kinematic viscosity of natural ester insulating oils as a function of temperature is also obtained in this paper by the free volume theory. The temperature ranges from 293 K to 433 K, and the functional model closely agrees with the experimental measurements. The research in this paper can be informative for the study and prediction of the viscosity of natural ester insulating oils as well as for the study of thermal conductivity. © 2025 IEEE.

关键词： Fatty acid methyl ester

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A finite element model of partial discharge in solid medium

A finite element model of partial discharge in solid medium

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2021 International Conference on energy, power and electrical Engineering, EPEE 2021

作者： Wang, Wenqiang Shi, Zhen Guangxi Key Laboratory of Power System Optimization and Energy Technology Guangxi University Nanning530004 China

The mechanism of partial discharge(PD) is the theoretical basis of the PD detection, insulation monitoring and risk assessment. The finite element analysis of partial discharge is an effective measure to study the characteristics of PD. In this work, a physical model of PD of a gas gap in solid dielectric using finite element analysis (FEA) method has been developed to determine the relationship between the inception electric field with different applied stresses, the cavity diameter and air pressure has been considered as the physical parameters that affect PD characteristics. The change of potential distribution before and after the discharge and the field strength during the discharge are analyzed. © 2021 Institute of Physics Publishing. All rights reserved.

关键词： Partial discharges

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Carbon dots and carbon nitride composite for photocatalytic removal of uranium under air atmosphere

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Chinese Chemical Letters 2022年第7期33卷 3573-3576页

作者： Hongpeng Li Qi Qing Liyuan Zheng Lan Xie Zhiqiang Gan Liqin Huang Shuang Liu Zhe Wang Yuexiang Lu Jing Chen Institute of Nuclear and New Energy Technology Tsinghua UniversityBeijing 100084China The MOE Key Laboratory of Resources and Environmental System Optimization College of Environmental Science and EngineeringNorth China Electric Power UniversityBeijing 102206China

Photocatalytic removal of uranium has attracted much attention in nuclear wastewater treatment and it is highly needed to develop functional photocatalyst with excellent removal *** this work,seven kinds of carbon dots/carbon nitride(CDs/CN)composites were synthesized and Ser CDs/CN with the best photo-assisted uranium removal performance was screened *** was found that the introduction of CDs could bring in higher photocurrent density,lower interfacial charge transfer impedance and narrower band gap,resulting in a much-improved removal ***/CN had shown a removal capacity as high as 1690 mg/g and the reaction could be operated under air atmosphere which is promising in real application.

关键词： Carbon dots Carbon nitride Uranium Photocatalyst Air atmosphere

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Carbon dots and polyurethane composite for photo-induced elimination of uranium under air atmosphere

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Chinese Chemical Letters 2023年第9期34卷 340-343页

作者： Zhe Wang Lingyu Zhang Zhen Lei Liyuan Zheng Liqin Huang Shuang Liu Yuexiang Lu The MOE Key Laboratory of Resources and Environmental System Optimization College of Environmental Science and EngineeringNorth China Electric Power UniversityBeijing 102206China Institute of Nuclear and New Energy Technology Tsinghua UniversityBeijing 100084China Nuclear Research Institute for Future Technology and Policy Seoul National UniversitySeoul 08826Republic of Korea

Uranium is the main fuel of nuclear power and elimination uranium from nuclear wastewater is significant both in environmental protection and fuel *** we report for the first time the synthesis of carbon dots/polyurethane(CDs/PU)composite materials for the photoinduced elimination of uranium from *** with visible light,CDs/PU could eliminate uranium efficiently with the generation of(UO_(2))O_(2)·_(2)H_(2)O as solid products in *** further investigated mechanism showed that the addition of CDs/PU could produce more H_(2)O_(2)under visible light,which reacted with uranyl ions to form(UO_(2))O_(2)·_(2)H_(2)***,the sponge-like CDs/PU could be easily removed from water with high reusability as the elimination efficiency remained above 95%after 5 ***/PU also displayed good selectivity in the presence of other metal *** work affords exciting strategies for developing photocatalysts and eliminating uranium from water.

关键词： Carbon dots Polyurethane Uranium Photocatalyst Air atmosphere

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Prediction the Thermal of Compression Dead-end and Jumper Terminal for electrical Equipment Based on High Voltage Transmission Lines, Case Study of electricity Du Cambodia (EDC) 4

Prediction the Thermal of Compression Dead-end and Jumper Te...

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4th IEEE Eurasia Conference on IoT, Communication and Engineering, ECICE 2022

作者： Suos, Singhen Cong, Lixiao Guangxi University Guangxi Key Laboratory of Power System Optimization and Energy Technology Guangxi Zhuang Autonomous Region Nanning China Intelligent Manufacturing College Nanning University Guangxi Zhuang Autonomous Region Nanning China

ISBN: (纸本)9781665482080

The high voltage overhead transmission line system is one of the methods of delivering electric power at a high voltage of electricity Du Cambodia (EDC) is the largest company in Cambodia's location, which transmitted from one source to another distribution, especially over a long distance to the customers. In an electrical power system, compression dead end and jumper terminal is one of the most important pieces of equipment and play important roles in the transmission system high voltage as well. Moreover, a bad or loose connection can be made a hot spot for generating the thermal that affecting for transmitting power, for the survey thermal energy of electrical equipment that they can to observed and quantified as thermography by applying infrared imaging and measuring the camera techniques. This method of detecting heat output is known as infrared thermography (IRT). Infrared thermography is not only a cost-effective technology but also powerful diagnostic equipment for improving system efficiency and dependability, power quality, and worker safety, and preventing outages, expensive equipment failure, and line losses. Using the Neural Network (NN) in the comparison to the Linear Regression (LR) model. This paper regarded schedule working actual base on the history of transmission line reports of using IRT which was noted by EDC, and the input parameters were the weather factors, wind speed, duration of operation, and load on the line. The prediction accuracy of these two methodologies was calculated with the use of the mean absolute percentage error (MAPE), Mean Square Error (MSE), Root Mean Square Error (RMSE), and Mean Absolute Error (MAE). Based on the act result of the two models, the Neural Network (NN) model is better performance accuracy. © 2022 IEEE.

关键词： electric power transmission

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Thermal Fault Diagnosis of power Equipment through Improved Instance Segmentation Algorithm and Deep Neural Network Temperature Fitting

Thermal Fault Diagnosis of Power Equipment through Improved ...

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New energy and power Engineering (ICNEPE), International Conference on

作者： Zhigang Chen Chaoliang Qi Wei Jin Junhao Hu Jinheng Li Qi Tang Zhe Wang Jianchao Gao Linxiao Lu State Grid Zhengzhou Power Supply Company of Henan Electric Power Company Zhengzhou Henan China Guangxi Key Laboratory of Power System Optimization and Energy Technology Guangxi University Nanning Guangxi China

electrical equipment failures caused by abnormal thermal conditions pose a severe threat to the safe and stable operation of power systems. This study proposes a thermal fault diagnosis method for power equipment based on instance segmentation and deep neural networks. Firstly, an attention mechanism module improves the instance segmentation model, increasing the average precision of masks and detection boxes by 2.5% and 3.6%, respectively, achieving highly accurate extraction of power equipment. The model's computational cost is only 12.1 GFLPOs. Secondly, a grayscale-temperature dataset was created, and a deep neural network was developed to accurately model the relationship between grayscale values and corresponding temperatures, surpassing conventional methods. The model achieved an impressive R-square value of 0.9443. Finally, thermal state information is extracted using kernel density estimation (KDE), and an automated thermal fault diagnosis algorithm is developed based on industry guidelines. The experimental results demonstrate that the proposed approach accurately identifies and provides early warning of the thermal state of electrical equipment, thereby enhancing the stability of power systems.

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Research on Snow Melting and Deicing Device of power Substation Equipment

Research on Snow Melting and Deicing Device of Power Substat...

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Frontiers of power and energy (ACFPE), Asian Conference on

作者： Chaoliang Qi Yuzhe Bao Tianji He Shuqin Mo Yonghan Qin Jinheng Li Yuanhong Chi Song Chen Peng Tian Zhiyuan Qi State Grid Zhengzhou Power Supply Company of Henan Electric Power Company Zhengzhou China Guangxi Key Laboratory of Power System Optimization and Energy Technology Guangxi University Nanning China

ISBN: (数字)9798350303896

ISBN: (纸本)9798350303902

Transmission lines as the most important part of the entire power system, due to long-term exposure to the air, it is easy to be affected by various external factors in the daily operation process, and may appear cross-area blackouts, personnel electrocution accidents and other problems. Snow and ice cover has been an important destructive factor affecting the safe operation of substation equipment and transmission lines, and accidents caused by snow and ice cover are common. Ice cover overload will lead to equipment deformation, wire fracture, easy to cause the operating mechanism jammed incapacitating normal action, but also easy to cause the outer insulation ice cover flashover discharge, discharge to ground, burst accident. However, the current deicing methods are difficult to meet the requirements of high efficiency and economy at the same time, and there is a lack of a high-efficiency, low-energy, low-cost and reliable deicing technology. Therefore, this paper proposes a hot air ice melting device for substation equipment.

关键词： Substations power transmission lines Snow Surface contamination Wires Ice Discharges (electric)

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Dissolution Characteristics of Mixed Insulating Oils for Transformers Based on Density Functional Theory

Dissolution Characteristics of Mixed Insulating Oils for Tra...

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Frontiers of power and energy (ACFPE), Asian Conference on

作者： Yong Liu Junjun Xiong Defeng Wan Kunfang Hu Weijie Lv Yang Wang Quality Inspection and Test Center for Equipment of Electric Power China Electric Power Research Institute Beijing China Guangxi Key Laboratory of Power System Optimization and Energy Technology Guangxi University Nanning China

ISBN: (数字)9798350303896

ISBN: (纸本)9798350303902

One can anticipate enhancements in the performance limitations of an individual insulating oil by blending mineral and vegetable insulating oils using precise techniques and proportions, resulting in the creation of hybrid insulating oils. Because of variances in both the components and molecular arrangements found in mineral and vegetable insulating oils, as well as the existence of interaction forces between them, the solubility characteristics will therefore be affected. In this study, based on density functional theory, to explore the structural attributes of hydrocarbon molecules in mineral oil and triglyceride molecules, we utilized molecular fragment analysis as well as electrostatic potential surface examination. The results show that the two molecular fragment orbitals in the triglyceride-hydrocarbon system contribute to the dimer molecular orbitals, in which the aromatic hydrocarbon-trilinolein (C 20 H 26 -C 57 H 98 O 6 ) system has a binding energy of −0.11 kcal/mol and the mutual attraction is the most significant among the selected several triglyceride-hydrocarbon systems significant. Furthermore, in the four major triglycerides chains found in palm oil, the carbon-carbon double bond (C=C) and oxygen atoms in the ester group (-COOR) exhibit partially negative electrostatic potential, which interacts attractively with the predominantly positive electrostatic potential in mineral oil hydrocarbon molecules, resulting in strong intermolecular forces. These forces facilitate the dissolution of triglycerides in mineral oil. The study findings not only offer insights into the dissolution properties of blended dielectric insulating liquids but also serve as a theoretical foundation and provide data support for the advancement and refinement of mixed insulating oils in transformers.

关键词： Vegetable oils electric potential Hydrocarbons Oil insulation Density functional theory Orbits Minerals

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Health index prediction of dissolved gases in transformer oil based on statistical distribution model

Health index prediction of dissolved gases in transformer oi...

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2021 International Conference on energy, power and electrical Engineering, EPEE 2021

作者： Li, Xiaogang Liu, Jiajia Wang, Xiaoguang Wu, Zhongyuan Liu, Chenyao Henan Jiuyu EPRI Electric Power Technology Co. Ltd Henan Zhengzhou China Guangxi Key Laboratory of Power System Optimization and Energy Technology Guangxi Nanning China

In this paper, dissolved gas analysis (DGA) and statistical distribution model (SDM) were used to predict the health index (HI) of dissolved gas in transformer oil. First, the individual DGA data are classified according to transformer ages ranging from 1 to 4 years. Then, representative fitting models were selected and extrapolated from 5 to 25 years. The inverse cumulative distribution function (ICDF) of the selected distribution model was used to calculate the single conditional parameter data from 5 to 25 years. Finally, the traditional scoring method is used to estimate the future HI value. The results show that DGA parameters can be expressed by exponential equation based on statistical model. The predicted values of DGA health index of transformer oil from 1 to 7 years were basically consistent with the calculated values, and the DGA score was 100 points. By the 20th year, the DGA score had dropped to 75, requiring timely monitoring. The research results can provide powerful data support and theoretical reference for transformer life prediction. © 2021 Institute of Physics Publishing. All rights reserved.

关键词： Health

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