检索结果-内蒙古大学图书馆

6th IEEE Conference on Energy Internet and Energy System Integration, EI2 2022

作者： Zhu, Yukun Huang, Libin Li, Shuyong Zhu, Yihua Song, Yantao Liu, Ren State Key Laboratory of HVDC Electric Power Research Institute China Southern Power Grid China Guangdong Provincial Key Laboratory of Intelligent Operation and Control for New Energy Power System Guangzhou China Electric Power Research Institute China Southern Power Grid CSG Key Laboratory for Power System Simulation Guangzhou China XJ Electric Co Ltd Xuchang China

ISBN: (纸本)9798350347159

The ±500kV Yongren-Funing HVDC transmission project is the first HVDC project whose sending and receiving ends are both located in the same province. When DC line fault happened under the condition of inter-communication fault between the pole control systems of the rectifier and inverter stations, the HVDC system cannot be blocked because of the frequent repeating actions of the DC line fault recovery in the inverter station. In order to solve the problem, an optimal control strategy of direct blocking HVDC system was proposed to solve the above issue. The optimization control strategy was verified by RTDS simulation. The simulation results showed that the proposed optimization control strategy of the DC line fault recovery could solve the above problems effectively. The proposed strategy has already been implemented on site permanently, which has great significance for the HVDC/UHVDC transmission projects in operation currently. © 2022 IEEE.

关键词： HVDC power transmission

来源：评论

学校读者我要写书评

暂无评论

Research on Cooling Characteristics of Power Battery Fast-charging of Refrigerant-based Direct Cooling System

Research on Cooling Characteristics of Power Battery Fast-ch...

引用

2020 International Conference on New Energy, Power and Environmental Engineering, NEPEE 2020

作者： Wang, Jialiang Zhang, Yimin State Key Laboratory of Automotive Simulation and Control Jilin University Changchun130022 China College of Automotive Engineering Jilin University Changchun130022 China

In this paper, the temperature variation characteristics and control methods of power battery during rapid charging are studied. For the problem of large heat production in power battery fast-charging process, a refrigerant-based direct cooling battery thermal management system were built based on the AMEsim one-dimensional simulation platform. The change law of the battery temperature and the influence of different types of control thresholds on the cooling effect and the thermal management boundary of the cooling process in the constant current charging method of were studied. The results show that in the cooling process with the temperature as the threshold value, the cooling response is good under the condition of lower C-rate. With the increase of the C-rate, the temperature threshold cooling can not meet the cooling response requirements. Based on the consequence, the battery's SOC(state of charge) was proposed as the control threshold signal for the advance cooling. The simulation results show that the SOC threshold cooling can control the highest temperature of the battery below 40 C, meeting the requirements of battery operation request. Through the full cooling of the maximum power, it is obtained that the thermal management boundary C-rate decreases linearly with the initial temperature change, and the final temperature in different initial temperatures increases linearly with the increase of the C-rate. © Published under licence by IOP Publishing Ltd.

关键词： Cooling

来源：评论

学校读者我要写书评

暂无评论

Kinetic Modeling of Secondary Organic Aerosol in a Weather-Chemistry Model: Parameterizations, Processes, and Predictions for GOAmazon

ACS ES&T Air

引用

ACS ES&T Air 2025年第2期2卷 249-263页

作者： Yicong He Kelsey R. Bilsback Manish Shrivastava Rahul A. Zaveri John E. Shilling John H. Seinfeld Bin Zhao Shuxiao Wang Christopher D. Cappa Jeffrey R. Pierce Shantanu H. Jathar Department of Mechanical Engineering Colorado State University Fort Collins Colorado 80523 United States；State Key Joint Laboratory of Environmental Simulation and Pollution Control School of Environment Tsinghua University Beijing 100084 China；State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex Beijing 100084 China Department of Mechanical Engineering Colorado State University Fort Collins Colorado 80523 United States；PSE Healthy Energy Oakland California 94612 United States Pacific Northwest National Laboratory Richland Washington 99354 United States Divison of Chemistry and Chemical Engineering California Institute of Technology Pasadena California 91125 United States State Key Joint Laboratory of Environmental Simulation and Pollution Control School of Environment Tsinghua University Beijing 100084 China；State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex Beijing 100084 China Department of Atmospheric Science Colorado State University Fort Collins Colorado 80521 United States Department of Civil and Environmental Engineering University of California Davis Davis California 95616 United States Department of Mechanical Engineering Colorado State University Fort Collins Colorado 80523 United States

Secondary organic aerosol (SOA) forms and evolves in the atmosphere through many pathways and processes, over diverse spatial and time scales. Hence, there is a need to represent these widely varying kinetic processes in large-scale atmospheric models to allow for accurate predictions of the abundance, properties, and impacts of SOA. In this work, we integrated a kinetic, process-level model (simpleSOM-MOSAIC) into a weather-chemistry model (WRF-Chem) to simulate the oxidation chemistry and microphysics of atmospheric SOA. simpleSOM-MOSAIC simulates multigenerational gas-phase chemistry, autoxidation reactions, aqueous chemistry, heterogeneous oxidation, oligomerization, and phase-state-influenced gas/particle partitioning of SOA. As a case study, the integrated WRF-Chem-simpleSOM-MOSAIC (WC-SSM) model was used to simulate the photochemical evolution downwind of a large city (Manaus, Brazil) in the Amazon and, in turn, study the anthropogenic and biogenic interactions in an otherwise pristine environment. Consistent with previous work, we found that OA was enhanced by up to a factor of 4 in the urban plume due to elevated hydroxyl radical (OH) concentrations, relative to the background, and that this OA was dominated by SOA from biogenic precursors (80%). In addition to accurately simulating the OA enhancement in the urban plume, the model reproduced the magnitude of the OA oxygen-to-carbon (O:C) ratio and broadly tracked the evolution of the aerosol number size distribution. Our work highlights the importance of including an integrated, kinetic representation of SOA processes in an atmospheric model.

关键词：

来源：评论

学校读者我要写书评

暂无评论

An Equivalent Modeling Method for Integrated Hydro-Photovoltaic-Wind Systems Based on Particle Swarm Optimization and Neural Networks 4

An Equivalent Modeling Method for Integrated Hydro-Photovolt...

引用

4th International Conference on Intelligent Power and Systems, ICIPS 2024

作者： Huang, Ying Lu, Yuanhong Zhao, Yanjun Hu, Yufeng Zhang, Jie Guo, Haiping China Southern Power Grid State Key Laboratory of HVDC Electric Power Research Institute China Southern Power Grid Guangzhou Guangzhou510663 China China Southern Power Grid National Energy Power Grid Technology R & D Centre Guangzhou Guangzhou510663 China China Southern Power Grid Guangdong Provincial Key Laboratory of Intelligent Operation and Control for New Energy Power System Guangzhou Guangzhou510663 China China Southern Power Grid CSG Key Laboratory for Power System Simulation Electric Power Research Institute China Southern Power Grid Guangzhou Guangzhou510663 China

ISBN: (纸本)9798331532765

The fault transient characteristics of power grids have undergone a fundamental transformation as a consequence of the advent of hybrid scale access to power grids by new energy sources. Nevertheless, the existing stand-alone equivalent model is unable to accurately characterise the fault transient characteristics of the hybrid light-water-wind electric field/cluster. Furthermore, the simulation computation of the stand-alone equivalent model is considerable in scale and the simulation efficiency is low. This paper proposes a particle swarm neural network-based clustered equivalent modelling method for a light-water-wind hybrid electric field. Firstly, a transient model of the light-water-wind hybrid electric field is established, and the characteristic influence factors of faults are constructed through theoretical analysis. These include the distance between the light-water-wind hybrid electric field and the point of common coupling (PCC), the input of current limiting measures on the DC side, the light, the water speed, the wind speed, and the reactive power at the outlet. Subsequently, the Euclidean distance is calculated for the set of characteristic influencing factors, and the initial centre of clustering of wind turbines is extracted based on the improved maximum-minimum distance method. Ultimately, the clustering equivalent modelling is accomplished through the utilisation of the aforementioned feature influencing factors and the classification initial centre as the training set. The simulation results show that compared with the single-machine equivalent model, The simulation error has been reduced from the order of magnitude of 10-2 p.u. to the order of magnitude of 10-4 p.u., while the simulation efficiency of this method is has been reduced from the order of magnitude of 10-2 s to the order of magnitude of 10-4 s. © 2024 IEEE.

关键词： Particle swarm optimization (PSO)

来源：评论

学校读者我要写书评

暂无评论

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

SSRN

引用

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

来源：评论

学校读者我要写书评

暂无评论

Community Ecological Response Pattern and Threshold of Baiyangdian Lake to Polycyclic Aromatic Hydrocarbons Based on an Ecological Model

SSRN

引用

SSRN 2023年

作者： Zeng, Yong Zhao, Yanwei Yang, Wei State Key Laboratory of Heavy Oil Processing Beijing Key Laboratory of Oil & Gas Pollution Control College of Chemical Engineering and Environment China University of Petroleum Beijing102249 China State Key Laboratory of Water Environment Simulation School of Environment Beijing Normal University Beijing100875 China

Ecological responses and thresholds at the community level are current research hotspots. Here, we propose a threshold determination method based on an ecological model of Baiyangdian (BYD) Lake in northern China. We used the Shannon–Wiener index, the ratio of total production to total respiration (P/R), and eco-exergy as community-level response indicators. The scatter points between the concentration gradient of PAHs and the community-level response indicators were obtained by running the BYD Lake model. Nonlinear regression was used to adapt these scatter points. During this process, response patterns were identified and the threshold result was determined. Although some species-response patterns were inconsistent, the community-level response patterns basically conformed to a Weibull cumulative distribution function. The threshold was not fixed, but rather case-oriented. The sensitivity and persistence of the community response curves determined the positions and ranges of threshold intervals. The sensitivity ranking of response indicators is P/R = eco-exergy > Shannon–Wiener index, and the persistence ranking of response indicators is Shannon–Wiener index > P/R = eco-exergy. Response indicators must be carefully selected because the results of different response indicators differ significantly. The method proposed in this paper provides reference for similar ecological response models and ecological threshold research. © 2023, The Authors. All rights reserved.

关键词： Polycyclic aromatic hydrocarbons

来源：评论

学校读者我要写书评

暂无评论

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

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

引用

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：

来源：评论

学校读者我要写书评

暂无评论

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

引用

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

来源：评论

学校读者我要写书评

暂无评论

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

SSRN

引用

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

来源：评论

学校读者我要写书评

暂无评论

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

ACS ES&T Air

引用

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：

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：