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Asymmetrically coordinated single-atom iron nanozymes with Fe-N_(1)C_(2)structure:A peroxidase mimetic for melatonin detection

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Nano Research 2023年第4期16卷 4751-4757页

作者： Lihong Lin Heng Li Hongfei Gu Zhiyi Sun Juan Huang Zhenni Qian Hang Li Juzhe Liu Hongyan Xi Pengfei Wu Qingqing Liu Shuhu Liu Lirong Zheng Zhuo Chen Zhengbo Chen Juanjuan Qi Energy&Catalysis Center School of Materials Science and EngineeringBeijing Institute of TechnologyBeijing 100081China Department of Chemistry Capital Normal UniversityBeijing 100081China The Key Laboratory of Resources and Environmental System Optimization Ministry of Education(MOE)College of Environmental Science and EngineeringNorth China Electric Power UniversityBeijing 102206China School of Chemistry Beihang UniversityBeijing 100191China Institute of High Energy Physics Chinese Academy of ScienceBeijing 100049China

Owing to the unique coordination environment and high atom utilization efficiency,single atom catalysts have been considered as an ideal artificial enzyme to mimic natural ***,single-atom Fe nanozyme anchored on N-doped Ti_(3)C_(2)Tx(Fe SA/N-Ti_(3)C_(2)Tx)with asymmetrically coordinated Fe-N_(1)C_(2)configuration is synthesized by vacancy capture and heteroatom doping strategy,which exhibits excellent peroxidase-like *** on the results of peroxidase catalytic kinetics and X-ray adsorption fine spectroscopy,the Fe-N_(1)C_(2)active sites in Fe SA/N-Ti_(3)C_(2)Tx are responsible for the excellent ***,the developed Fe SA/N-Ti_(3)C_(2)Tx can be employed to quantitative detection of melatonin(MT),which shows a wide linear detection range(0.01-100μM)and an excellent detection limit(7.3 nM)in buffer,0.01-100μM and 7.8 nM in serum *** work proves that MXene-based single atoms can be promising nanozyme in the field of bioassays.

关键词： iron single atom asymmetric coordination Ti_(3)C_(2)Tx MXene nanozyme melatonin detection

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Agent Simulation-Based Market Clearing Model for Reactive Auxiliary Services

Agent Simulation-Based Market Clearing Model for Reactive Au...

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IEEE Conference on energy Internet and energy system Integration (EI2)

作者： Le Qi Mingyuan Chen Jifeng Song Minyu Zhang Wenbin Zheng Qinghua Shang Power Dispatching Control Center of Guangxi Power Grid Co. Ltd. Nanning China Key Laboratory of Guangxi Electric Power System Optimization and Energy-Saving Technology Guangxi University Nanning China

Reactive power is local and needs to be consumed locally; therefore, this paper investigates a sub-regional local market for reactive auxiliary services, where the power trading agency is responsible for receiving and aggregating the operating cost bids and opportunity loss bids from power generating companies. The power dispatch agency aims to minimize each local market's reactive power procurement costs, thereby minimizing reactive power generation subject to system constraints and voltage support. In this paper, a sub-regional reactive auxiliary services market clearing model with distributed energy participation is proposed and tested on an IEEE 24 bus system with each region as a node. The results show that the reactive market mechanism provided in this paper can incentivize extensive participation of new energy units and maintain sufficient reactive reserves and that the market power of individual units can be controlled within reasonable limits.

关键词： Procurement Reactive power Analytical models Costs Voltage Companies system integration

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Real-Time Control Strategy of Hybrid energy Storage to Smooth Out Fluctuations in PV Industrial Parks 5

Real-Time Control Strategy of Hybrid Energy Storage to Smoot...

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5th IEEE Conference on energy Internet and energy system Integration, EI2 2021

作者： Liu, Yuwei Li, Bin Deng, Youxiong Guangxi Key Laboratory of Power System Optimization and Energy Technology Guangxi University Nanning China Nanning Power Supply Bureau Guangxi Power Grid Co. Ltd Nanning China

ISBN: (纸本)9781665434256

Combining PV power generation and industrial parks and using hybrid energy storage to smooth out fluctuations in PV industrial parks is an effective way to improve the level of PV power consumption, reduce energy consumption and pollution in industrial parks, and lower the cost of power purchase before industrial parks. In this paper, we propose a real-time control strategy to smooth out the fluctuation of PV industrial park by using hybrid energy storage system, which optimally allocates the load fluctuation to energy-based energy storage and power-based energy storage based on variational modal decomposition (VIVID), and considers the charging and discharging efficiency and state of charge (SOC) of energy storage to smooth out the fluctuation of PV industrial park. Finally, the effectiveness of the proposed real-time control strategy of hybrid energy storage for PV industrial park fluctuation smoothing is verified by simulation, and the strategy is evaluated economically based on the current spot market in Guangdong. © 2021 IEEE

关键词： Real time control

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Docker-Based energy Management system Development and Deployment Methods 4

Docker-Based Energy Management System Development and Deploy...

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4th International Conference on power and energy Engineering, ICPEE 2020

作者： Li, Zongsheng Wei, Hua Lian, Chunjie Qin, Shengchao Guangxi Key Laboratory of Power System Optimization and Energy Saving Technology Guangxi University Nanning China

ISBN: (纸本)9781728191256

This paper proposes a Docker-based energy management system (DEMS) architecture to solve the problems of slow deployment and low flexibility of traditional energy management system (TEMS). Compared with TEMS, DEMS uses containerized packaging, the deployment environment and the number of Web Service releases are reduced from at least three times to one, and the workload is reduced by about two times. When the system has high concurrency, the application can be elastically expanded by adding or subtracting instances to calmly cope with peak traffic. DEMS applications use a mirrored development method. During the update process, only the Dockerfile needs to be modified first, and then the container instance is regenerated according to the new Dockerfile, which speeds up and simplifies the application update process. On the other hand, Docker virtualization is more lightweight and convenient than VMs, effectively reducing virtualization costs. This architecture has been applied to the upgrade and transformation of an actual power system EMS in China, which has good actual operating results. © 2020 IEEE.

关键词： energy management systems

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Recent Advances of Monolithic All-Perovskite Tandem Solar Cells:From Materials to Devices

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Chinese Journal of Chemistry 2022年第7期40卷 856-871页

作者： Shan Jiang Yiming Bai Zongwen Ma Shengli Jin Chao Zou Zhao'ao Tan State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources North China Electric Power UniversityBeijing 102206China Beijing Advanced Innovation Center for Soft Matter Science and Engineering Beijing University of Chemical TechnologyBeijing 100029China Key Laboratory of Solar Energy Utilization&Energy Saving Technology of Zhejiang Province Zhejiang Energy Group R&D Institute Co.Ltd.HangzhouZhejiang 311121China College of Chemistry and Materials Engineering Wenzhou UniversityWenzhouZhejiang 325027China

Organic-inorganic metal-halide perovskite solar cells(PerSCs)have achieved significant progresses due to their outstanding optoelectronic charac-teristics,and the power conversion efficiency(PCE)of single-junction PerSCs has been boosted from 3.8%to a certified 25.2%.However,the efficien-cy of single-junction cells is governed by the Shockley-Queisser(S-Q)radiative limit,and fabricating all-perovskite tandem solar cells is a particularly attractive method to break the S-Q *** the bandgap of lead(Pb)-based mixed halide perovskite can be tuned from 1.55 eV to 2.3 eV,and the mixed tin(Sn)-Pb perovskites have bandgap of~1.2 eV,these perovskites become the best candidates for the front and rear subcells of all-perovskite tandem device,*** this review,we firstly summarize the current development progresses of two-terminal(2-T)all-perovskite tandem so-lar *** further optimizing the device performance,the wide bandgap mixed halide perovskites for front subcell,mixed Sn-Pb narrow bandgap perovskites for rear subcell,and the interconnection layer(ICL)of 2-T tandem device are then *** review aims to open a pathway to real-ize highly efficient all-perovskite tandem solar cells.

关键词： Perovskite phase Tandem solar cells Interconnection layer energy conversion Complementary absorption

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An Attention-based CNN-GRU Model for Resident Load Short-term Forecast

An Attention-based CNN-GRU Model for Resident Load Short-ter...

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IEEE Conference on energy Internet and energy system Integration (EI2)

作者： Shangfu Wei Xiaoqing Bai Key Laboratory of Guangxi Electric Power System Optimization and Energy-saving Technology Guangxi University Nanning China

ISBN: (纸本)9781665434263

Under the background of electricity market, accurate short-term forecast of residential load can effectively strengthen demand side management. However, the randomness and uncertainty of residential electricity consumption increase the difficulty of prediction. The traditional prediction models are facing with some problems that it is difficult to effectively extract high-dimensional features and important information is easy to lose when the length of the time series is too large. Based on these, the paper established an Attention-based CNN-GRU model for resident load short-term forecast. In this model, CNN plays a role in extracting the features of historical power consumption data, GRU neural network combined with Attention mechanism is used to model these extracted features dynamically. Real data of individual household electricity consumption is taken as an example, and simulation experiments are carried out in three scenarios of univariate single step, multivariate single step and multivariate multi-step prediction respectively. The results of the experiment demonstrate that the proposed model achieves reasonable accuracy and robustness.

关键词： Uncertainty Neural networks Time series analysis system integration Predictive models Feature extraction Data models

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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)

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

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IEEE Eurasia Conference on IOT, Communication and Engineering (ECICE)

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

ISBN: (纸本)9781665482097

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.

关键词： power transmission lines Wind speed Linear regression Thermal engineering High-voltage techniques Artificial neural networks Thermal conductivity

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Gas Sensitivity Study of Early Diagnostic Markers for Lung Cancer Using Mote2 Single Molecular Membranes Doped with Different Tm Atoms:Based on Density Functional Theory

SSRN

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SSRN 2025年

作者： Chen, Yujie Jiang, Wenhao Zhang, Yiyi Chen, Dachang Xu, Min Liu, Jiefeng Jia, Pengfei School of Electrical Engineering Guangxi University Nanning China School of Electrical and Electronic Engineering Wuhan Polytechnic University Wuhan China College of Food Science and Bioengineering Xihua University Chengdu China Guangxi Engineering Technology Innovation Center of Electric Power Transmission and Distribution Network Lightning Protection Guangxi University Nanning China Guangxi Key Laboratory of Power System Optimization and Energy Technology China

Lung cancer has become one of the deadliest and most prevalent cancers worldwide, and the use of gas sensors to detect volatile organic compounds (VOCs) in the exhaled breath of lung cancer patients is gaining increasing popularity. Compared with traditional medical diagnostic methods, this method is cost-effective and less invasive. During our experiments, we employ density functional theory to explore how transition metal (Cu, Pd, Pt)-doped MoTe2 single-molecule membranes respond to VOCs commonly found in the exhalation gas of patients with lung cancer in the early stages of the disease. All three modified systems exhibited excellent thermal stability, and the sorption of VOCs is significantly enhanced compared to the pristine MoTe2, ensuring effective desorption and sensing performance at elevated temperatures. Moreover, the changes in the band gap before and after adsorption are notably distinct, indicating strong gas sensitivity. Among the doped structures, MoTe2-Cu shows the highest adsorption capacity for C5H8, C3H6O, and C3H8O, accompanied by the largest change in the band gap. Due to the varying sensitivities of the three lung cancer biomarker sensors to different gases, cross-sensitivity can be minimised, highlighting the potential for qualitative analysis of VOC gas mixtures. This offers new insights and methods for the early detection and prevention of lung cancer. © 2025, The Authors. All rights reserved.

关键词： Gas mixtures

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Gas Sensitivity Study of Early Diagnostic Markers for Lung Cancer Using Mote2 Single Molecular Membranes Doped with Different Tm Atoms:Based on Density Functional Theory

SSRN

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SSRN 2025年

Lung cancer has become one of the deadliest and most prevalent cancers worldwide, and the use of gas sensors to detect volatile organic compounds (VOCs) in the exhaled breath of lung cancer patients is gaining increasing popularity. Compared with traditional medical diagnostic methods, this method is cost-effective and less invasive. During our experiments, we employ density functional theory to explore how transition metal (Cu, Pd, Pt)-doped MoTe2 single-molecule membranes respond to VOCs commonly found in the exhalation gas of patients with lung cancer in the early stages of the disease. All three modified systems exhibited excellent thermal stability, and the sorption of VOCs is significantly enhanced compared to the pristine MoTe2, ensuring effective desorption and sensing performance at elevated temperatures. Moreover, the changes in the band gap before and after adsorption are notably distinct, indicating strong gas sensitivity. Among the doped structures, MoTe2-Cu shows the highest adsorption capacity for C5H8, C3H6O, and C3H8O, accompanied by the largest change in the band gap. Due to the varying sensitivities of the three lung cancer biomarker sensors to different gases, cross-sensitivity can be minimised, highlighting the potential for qualitative analysis of VOC gas *** offers new insights and methods for the early detection and prevention of lung cancer. © 2025, The Authors. All rights reserved.

关键词： Lung cancer

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Small Signal Stability Assessment of power system Based on Sade-ELM Algorithm

Small Signal Stability Assessment of Power System Based on S...

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IEEE Conference on energy Internet and energy system Integration (EI2)

作者： Yude Yang Xiu Zhang Quan Wen Key Laboratory of Power System Optimization and Energy Saving Technology Guangxi University School of Electric Power Engineering Guangxi University Nanning China

ISBN: (纸本)9781665434263

Along with the increasing scales of power system, the traditional numerical method to calculate the damping ratio of system to evaluate the small signal stability cannot meet the requirements of real-time analysis. Therefore, we propose a small signal stability assessment method for power system based on Extreme Learning Machine (ELM) optimized by Differential Evolution Algorithm with Strategy-Adaptation (SaDE). The node power, generator power and branch power are taken as inputs of the model in this method. Meanwhile, the minimum damping ratio of the system is taken as the output, and fits input data and output data. The results of 3-machine 9-node and 10-machine 39-node systems show that the method can estimate the minimum damping ratio of the system after off-line training of historical data without considering the change of control parameters. Compared with the prediction results of Back Propagation (BP) and ELM models, SaDE-ELM has the lowest error, the highest prediction accuracy and the strongest generalization ability.

关键词： Damping Training system integration power system stability Predictive models Prediction algorithms Stability analysis

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