检索结果-内蒙古大学图书馆

Research on Multi-Level Collaborative Scheduling Model Based on Distributed Power Connected to the New Power System

学校读者我要写书评

暂无评论

Research on Multi-Level Collaborative Scheduling Model Based...

Power Electronics, Computer Applications (ICPECA), IEEE International Conference on

作者： Ji Zhou Zijun Yang Kai Li Lei Xia Huilei Tan Lina Xu State Grid Corporation of China Beijing China State Grid Jiangsu Electric Power Co. Ltd Nanjing Jiangsu Province China State Key Laboratory of Control and Simulation of Power Systems and Generation Equipment Tsinghua University Beijing China

After the distributed power supply connects to the new power system, the power grid scheduling is affected by voltage flash during the grid scheduling, resulting in an increase in operating costs of the power grid. It is proposed that the high -penetration distribution power supply connects the diversified electric energy dual -layer scheduling method of the new power system. After mastering the current adjustment of the load and credible contribution information of the power grid, this paper builds a multi -purpose power system diversified power dual-layer scheduling model based on multi -target optimization. The upper layer scheduling target of this model is to optimize the quality of diversified electricity. The lower layer scheduling goal is to maximize the economic benefits of the new power system. The minimum value method can be solved to achieve the upper and lower target functions. The system schedules the optimal solution to ensure that under the access to high penetration distributed power supply, to ensure the maximization goal of the economic benefits of the power grid, it reasonably dispatches the displacement of the distributed power supply, and realizes the optimization of the diversified power quality of the new power system. The experimental results show that under the scheduling of this method, the voltage offset of the photovoltaic grid system is reduced by 0.60 MV. The operating cost of the new power system is also effectively controlled. Compared with that before the scheduling, this method is available.

关键词：

A Crosstalk-Eliminated Otpa Method Based on a Modified Pareto Mo-Afsa

学校读者我要写书评

暂无评论

SSRN 2023年

作者： Yang, Ji-Xuan Chen, Zhi-Yong Li, Qiang-Qiang Wang, Jian-Xi Song, Hai-Sheng State Key Laboratory of Automotive Simulation and Control Jilin University Changchun130025 China School of Vehicle and Traffic Engineering Henan Institute of Technology Xinxiang453003 China

Operational Transfer Path Analysis (OTPA) is a robust methodology for analyzing and controlling vibration and noise. It is particularly useful for identifying the sources of excitation and analyzing the contribution of system vibration. However, the outcomes of the system transfer matrix estimation are subject to substantial crosstalk among the excitation points, which can lead to considerable prediction errors due to the reliance on measured data at these points. In this study, an OTPA procedure that utilizes the Singular Value Decomposition (SVD) method and a modified Multi-Objective Artificial Fish Swarm Algorithm (MO-AFSA) is proposed to mitigate the impact of crosstalk. The proposed approach aims to enhance the performance of the OTPA procedure. The effectiveness of this method in addressing the limitations of the classical OTPA, namely poor accuracy and reliability, has been demonstrated through validation using an example of vehicle interior noise and related tests. This methodology presents benefits in accelerating the development process of vibration reduction design for novel equipment and furnishing direction for the creation of appropriate Noise, Vibration, and Harshness (NVH) control measures. © 2023, The Authors. All rights reserved.

关键词： Principal component analysis

Technology pathway to decarbonisation in the building sector based on a policy review of major economies

学校读者我要写书评

暂无评论

Advances in Climate Change Research 2025年第1期16卷 183-198页

作者： Jie XIONG Si-Yue GUO Xian ZHANG Run-Ming YAO Pan-Yu ZHU Xue-Ting PENG Nian YANG Ya-Ting ZHANG Mai SHI Xi LU School of Environment State Key Joint Laboratory of Environment Simulation and Pollution ControlTsinghua UniversityBeijing 100084China School of Architecture and Urban Planning Chongqing Jiaotong UniversityChongqing 400074China Institute for Energy Environmental&EconomyTsinghua UniversityBeijing 100084China The Administrative Centre for China’s Agenda 21(ACCA21) Ministry of Science and Technology(MOST)Beijing 100038China School of the Built Environment University of ReadingReading RG66DFUnited Kingdom Joint International Research Laboratory of Green Buildings and Built Environments(Ministry of Education) Chongqing UniversityChongqing 400045China Synavision GmbH Bielefeld 33602Germany Beijing Laboratory of Environmental Frontier Technologies Tsinghua UniversityBeijing 100084China Institute for Carbon Neutrality Tsinghua UniversityBeijing 100084China

Building decarbonisation is crucial to achieve the carbon neutrality *** many studies have been conducted,a gap remains in the research concerning technology development and policy *** study conducted a comprehensive review of the decarbonisation pathways proposed by the ten largest economies globally for the building sector at the national *** synthesising the relevant literature,a systemic framework of technologies applicable to the building sector is proposed,encompassing five major categories of technologies:energy efficiency,electrification and clean heating,on-site generation and flexible utilisation,green construction materials and processes,and sufficiency in operation and *** overview of each country’s emphasis on technological development,future expectations and prevailing trends in technology deployment is summarised and *** countries'policy documents address energy efficiency,electrification,and clean heating;however,the importance of flexibility and sufficiency warrants further *** balance among different technologies,the impacts of lock-in effects,and the considerations of equity and justice in renovation processes are critical concerns for the future deployment of *** study can provide a meaningful reference for the following research phase and the development of pathways to decarbonise buildings for countries worldwide.

关键词： Decarbonisation Building sector Carbon neutrality Pathway Framework of technologies

Prediction of Combustion and Emission Performance on an Oxygen-Enriched Gasoline Engine Using Artificial Neural Network

学校读者我要写书评

暂无评论

SSRN 2022年

作者： Sun, Ping Zhang, Jufang Dong, Wei Li, Decheng Yu, Xiumin State Key Laboratory of Automotive Simulation and Control Jilin University Changchun130022 China College of Automotive Engineering Jilin University Changchun130022 China State Key Laboratory of Automotive Simulation and Control Jilin University Renmin Street 5988 Changchun130022 China

Oxygen-enriched combustion (OEC) technology is an effective in-cylinder clean combustion technology but can lead to extremely high NOx emissions, and even causes NOx detectors to fail at high oxygen ratios. In this paper, a convenient and efficient artificial neural network (ANN) model is developed to predict the effective power, HC, CO, NOx, and PN emissions of OEC engines. To obtain training and testing data, the experiment about gasoline fuel combined with OEC technology is completed on a four-cylinder compound injection spark ignition engine. The engine speed, load, spark timing, brake specific fuel consumption (BSFC), and oxygen enrichment ratio (OER) are regarded as the input layer of the model. And the effective output power, HC emissions, CO emissions, NOx emissions and particle emissions are used as the output layer. Developed ANN models based on trainlm, trainbr and trainscg algorithms. And invalid NOx data in experimental results are effectively predicted in the model. The R-values for both training and testing data are more than 0.99, and the MSE are less than 0.001. The ANN model has been validated as an effective tool for predicting the emissions and power performances of spark ignition (SI) engines with OEC technology. © 2022, The Authors. All rights reserved.

关键词： Neural networks

Assessing the Significance of Regional Transport in Ozone Pollution through Machine Learning: A Case Study of Hainan Island

学校读者我要写书评

暂无评论

ACS ES&T Air

ACS ES&T Air 2025年第3期2卷 416-425页

作者： Jun Liu Meiru Chen Biwu Chu Tianzeng Chen Qingxin Ma Yonghong Wang Peng Zhang Hao Li Bin Zhao Rongfu Xie Qing Huang Shuxiao Wang Hong He State Key Joint Laboratory of Environment Simulation and Pollution Control Research Center for Eco-Environmental Sciences Chinese Academy of Sciences Beijing 100085 China State Key Joint Laboratory of Environment Simulation and Pollution Control Research Center for Eco-Environmental Sciences Chinese Academy of Sciences Beijing 100085 China；University of Chinese Academy of Sciences Beijing 100049 China State Key Joint Laboratory of Environment Simulation and Pollution Control Research Center for Eco-Environmental Sciences Chinese Academy of Sciences Beijing 100085 China；Center for Excellence in Regional Atmospheric Environment Institute of Urban Environment Chinese Academy of Sciences Xiamen 361021 China；University of Chinese Academy of Sciences Beijing 100049 China School of Environment Tsinghua University Beijing 100084 China College of Ecology and Environment Hainan University Haikou 570228 China；Hainan Research Academy of Environmental Sciences Haikou 571126 China School of Environmental Science and Engineering Hainan University Haikou 570228 China

Regional transport of air pollutants is a serious challenge to outdoor O3pollution control. Characterizing the transport of air pollutants by traditional air quality models heavily relies on accurate precursor emission inventories, chemical reaction mechanisms, and meteorological factors. In this study, the pollutant concentrations of upwind cities were incorporated as features into a random forest regression model (Traj-RF) to investigate the contribution of regional transport to local O3pollution. Hainan island was selected as the target area in this study, due to its air quality being affected significantly by regional transport. The Traj-RF model shows good predictive performance for O3with a coefficient of determination (R2) of 0.68 on the independent test set based on only observed air pollutants concentrations and meteorological data. The results of the Traj-RF model show that direct O3transport from upwind areas contributes approximately 27.5% to the O3concentration in Hainan, effectively highlighting the substantial role of regional transport in Hainan’s O3pollution. This refined machine learning method may have the potential to assess the impact of pollutant transport on regional air quality.

关键词：

Self-Dispersed Fe Single-Atom on Biochar Derived from Zn-Hyperaccumulator Residues for Selective Peroxymonosulfate Activation Via Electron Transfer Process

学校读者我要写书评

暂无评论

SSRN 2023年

作者： Li, Fangzhou Wan, Ziren Zheng, Di Zhang, Lina Huang, Wan Chen, Fei Deng, Jia Qi, Zhen Li, Guanghe Zhang, Fang School of Environment Tsinghua University Beijing100084 China State Key Joint Laboratory of Environment Simulation and Pollution Control Beijing100084 China Beijing100015 China

Herein, "self-dispersion" Fe single-atom anchored biochar (FeSA-BC) was facilely synthesized by endogenous strategy using Zn-hyperaccumulator residues (Sedum alfredii). Evaporation of hyper-enriched Zn during high temperature pyrolysis facilitated the formation of defect trapping sites and promoted the atomically-dispersion of intrinsic Fe. FeSA-BC exhibited an impressive mass activity of 3.13×104 min-1 mol-1, and performed stable Bisphenol A (BPA) removal efficiency with high catalytic ability over a wide pH range and in the presence of groundwater interferences, including inorganic anions and natural organic matter. FeSA-BC/peroxymonosulfate (PMS) system enabled the potential difference-driven selective oxidation of electron-rich phenolic pollutants with relatively low ionization potential (IP) via nonradical process (EIP, © 2023, The Authors. All rights reserved.

关键词： Ionization potential

A Method for Filtering Data-Driven Predictive control Aimed at Vehicle Lateral Stabilization in Compacted-Snow Rutted Road Conditions

学校读者我要写书评

暂无评论

A Method for Filtering Data-Driven Predictive Control Aimed ...

Conference on Vehicle control and Intelligence (CVCI)

作者： Xu Zhao Hongyan Guo Wanqing Shi College of Communication Engineering Jilin University Changchun China Department of Aircraft Control and Information Engineering Jilin Institute of Chemical Technology Changchun China State Key Laboratory of Automotive Simulation and Control College of Communication Engineering Jilin University Changchun China

ISBN: (数字)9798331504892

ISBN: (纸本)9798331504908

Designing a data-driven predictive controller for lateral stability of vehicles on compacted-snow rutted roads, especially when the data is subjected to non-stationary noise disturbances, is a significant challenge. This paper introduces a novel subspace predictive equation construction method that incorporates filtering using the inverse of a first-order disturbance model. Based on this, a filtering data-driven predictive controller is designed. The proposed method is tested through numerical simulations and MATLAB/CarSim co-simulation. simulation results show that the proposed subspace predictive equation with filtering effectively mitigates the variance and bias introduced by non-stationary noise. The co-simulation results demonstrate that the controller ensures the stability and robustness of the vehicle system.

关键词： Filtering Roads Predictive models Numerical simulation Mathematical models Stability analysis Robustness Numerical models Numerical stability Predictive control

Research on a New Integrated Device for Remote control of Power Cable Testing and Cutting

学校读者我要写书评

暂无评论

Research on a New Integrated Device for Remote Control of Po...

2024 Boao New Power System International Forum - Power System and New Energy Technology Innovation Forum, NPSIF 2024

作者： Cao, Kangyangyong Xing, Hongquan Zhang, Yilin Xue, Chuan Li, Feiyi Gao, Ziyang State Grid Changchun Power Supply Company Changdian Group Cable Engineering Branch Jilin Changchun130000 China State Grid Changchun Power Supply Company Operation Maintenance Department Jilin Changchun130000 China Northeast Electric Power University Engineering Training and Teaching Center Jilin Jilin132011 China Jilin Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Jilin132011 China

ISBN: (纸本)9798331504557

With the continuous improvement and development of urban power grid structures, it is inevitable that cable lines will need to be renovated and replaced. In the process of cable construction, the traditional cable cutting process involves independent operations, requiring a large amount of equipment and occupying a large area. Workers need to wear protective clothing when cutting, which is inflexible and inefficient. This approach is no longer adequate for the diverse and complex construction sites of today. To this end, a new type of integrated power cable cutting device is specially designed and developed, which combines testing and cutting, reducing the use of cable cutting tools. The newly developed circuit cutter is designed with features such as compact size, high structural strength, good cutting effect, strong adaptability, and remote control function. It can significantly improve the safety and convenience of cable cutting operations, which is of positive significance for improving construction quality and efficiency and ensuring the personal safety of operators. © 2024 IEEE.

关键词： Remote control

Fe/Fe3c@C Nanofibers as Microwave-Induced Catalyst: Tuning Microstructure to Boost ROS Generation for Reinforcement of Chlorotetracycline Degradation

学校读者我要写书评

暂无评论

SSRN 2024年

作者： Li, Jianfei Liu, Chunlei Zhang, Wei Chang, Jing Bi, Yanmeng Wang, Shaopo Tianjin Key Laboratory of Aquatic Science and Technology School of Environmental and Municipal Engineering Tianjin Chengjian University Tianjin300384 China Beijing100085 China State Key Joint Laboratory of Environment Simulation and Pollution Control School of Environment Tsinghua University Beijing100084 China

Degradation of antibiotics suffers from a long treatment cycles or leakage of toxic byproducts. Microwave-induced catalysis holds promise in addressing efficient and secure degradation of antibiotics. Traditional view holds that the ROS yield in this process heavily relies on the microwave absorption of microwave-induced catalysts. Herein, we propose a strategy for adjusting the microstructures of catalyst to achieve variable microwave absorption, which enables rapid generation of ROS without requiring high microwave absorption capacity. This strategy controls the annealing time (S-3h) of Fe/Fe3C@C nanofibers, a favorable microwave-induced catalyst, exhibit a high removal rate (87.3%) of chlorotetracycline at low microwave power of 300 W, which is 1.13 (S-2h) and 1.61 (S-1h) times higher than the control group. The non-linear relationship between ROS production and microwave absorption capacity in Fe/Fe3C@C was observed, which overturns traditional understanding. Further analysis involving ROS quenching, ESR, LC-MS analysis revealed that this is due to a transition from oxygen-centered persistent free radical (PFRs) to carbon-centered PFRs, which could mediate the generation of •OH and •O2− from oxygen-containing groups. This study offers a novel perspective on the rational design of microwave-induced catalysts for the efficient and secure degradation of antibiotics. © 2024, The Authors. All rights reserved.

关键词： Nanofibers