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15th International Conference on Environmental Science and Development, ICESD 2024

作者： Zhou, Yanxiao Li, Yongping Huang, Guohe Li, Yanfeng State Key Joint Laboratory of Environmental Simulation and Pollution Control School of Environment Beijing Normal University Beijing China Institute for Energy Environment and Sustainable Communities University of Regina ReginaSask Canada

ISBN: (纸本)9783031886829

Water shortage and food security have posed significant challenges to the sustainable management of water-food-energy (WFE) nexus. In this study, a fixed-mix joint-probabilistic constraints programming (FJCP) approach is developed for obtaining the sustainable WFE strategies. Then, a FJCP-WFE model is formulated with considering 36 scenarios. Results reveal that (i) system benefit and total water allocation would increase with the rising α as well as decreasing p levels, and decision makers can obtain the compromise among system violation risk, economic benefit and water consumption by varying p and α levels;(ii) the changing α level would influence water allocation structure, where the proportion of agricultural water would decrease by 4.9% from α = 0.47 to α = 0;(iii) the system benefit and total water allocation of FJCP would be lower than those of FCCP, with reductions of 0.001–0.04% and 1.92–5.32%, respectively. Results indicate that FJCP method is suitable for arid areas, which can find more practical alternatives for the WFE nexus system management, and promote regional sustainable development. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Risk perception

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Evaluation Method of Distributed Photovoltaic Admission Capability Based on Voltage Sensitivity and Multi-Scenario Power Flow simulation 5

Evaluation Method of Distributed Photovoltaic Admission Capa...

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5th IEEE International Electrical and Energy Conference, CIEEC 2022

作者： Huangfu, Xiaowen Li, Qiuyan Ding, Yan Guo, Yong Zhao, Hanjie Li, Cuiping Sun, Dapeng Wang, Dongbo Hou, Xiangchen Fan, Jiangchuan Research Institute State Grid Henan Economic Zhengzhou China Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Jilin China

ISBN: (数字)9781665411042

ISBN: (纸本)9781665411042

Under the Background of 'Carbon peaking and Carbon neutrality' goals, with the rapid development of clean energy, power system is gradually transforming to low-carbon. The proportion of distributed photovoltaic in the distribution network increases rapidly, and the uncertainty of its output and the randomness of the access scheme can easily lead to dramatic changes in line power flow and bring about operational safety problems. Aiming at the problem that high proportion of distributed photovoltaic access affects the safe and stable operation of distribution network, this paper proposes a distributed photovoltaic acceptance ability evaluation method based on voltage sensitivity and multi-scenario power flow simulation. The method uniformly generates the possible access scheme of distributed photovoltaic in the network and simulates the multi-power flow. Finally, by comparing the peak voltage of each scheme, the distributed photovoltaic carrying capacity of distribution network is evaluated. Taking IEEE 14-bus system as an example, the results show that the proposed method can effectively solve the calculation problem of distributed photovoltaic carrying capacity of distribution network. © 2022 IEEE.

关键词： Electric load flow

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Mixing regime shapes the community assembly process,microbial interaction and proliferation of cyanobacterial species Planktothrix in a stratified lake

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Journal of Environmental Sciences 2022年第5期34卷 103-113页

作者： Junwen Chen Huacong Liu Yaohui Bai Jing Qi Weixiao Qi Huijuan Liu Jianfeng Peng Jiuhui Qu Center for Water and Ecology State Key Joint Laboratory of Environment Simulation and Pollution ControlSchool of EnvironmentTsinghua UniversityBeijing 100084China Key Laboratory of Drinking Water Science and Technology Research Center for Eco-Environmental SciencesChinese Academy of SciencesBeijing 100085China

Lake mixing influences aquatic chemical properties and microbial community composition,and thus,we hypothesized that it would alter microbial community assembly and *** clarify this issue,we explored the community assembly processes and cooccurrence networks in four seasons at two depths(epilimnion and hypolimnion)in a mesotrophic and stratified lake(Chenghai Lake),which formed stratification in the summer and turnover in the *** the stratification period,the epilimnion and hypolimnion went through contrary assembly processes but converged to similar assembly patterns in the mixing *** a highly homogeneous selection environment,species with low niche breadth were filtered,resulting in decreased species *** mixing in the winter homogenized the environment,resulting in a simpler microbial cooccurrence ***,we observed a high abundance of the cyanobacterial genus Planktothrix in the winter,proba-bly due to nutrient redistribution and Planktothrix adaptivity to the winter environment in which mixing played important *** study provides deeper fundamental insights into how environmental factors influence microbial community structure through community assembly processes.

关键词： Stratified lake Water mixing Microbial community assembly Microbial interaction Planktothrix

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Prediction of Coefficient of Restitution for Impact Elastoplastic Spheres Considering Finite Plate Thickness

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Chinese Journal of Mechanical Engineering 2024年第4期37卷 183-193页

作者： Yunfeng Fan Hao Wang Tao Zhou Limin Zou Zhinong Jiang Minghui Hu State Key Laboratory of High-end Compressor and System Technology Beijing University of Chemical TechnologyBeijing 100029China China Ship Research and Development Academy Beijing 100101China Key Lab of Engine Health Monitoring-Control and Networking of Ministry of Education Beijing University of Chemical TechnologyBeijing 100029China Beijing Key Laboratory of High-End Mechanical Equipment Health Monitoring and Self-Recovery Beijing University of Chemical TechnologyBeijing 100029China

Collisions between objects are a relatively common phenomenon in *** of collision processes can greatly contribute to solving problems such as impact-rub faults and particle *** coefficient of restitution is a critical parameter in the analysis of collision *** experiments have shown that the coefficient of restitution is closely related to the plate thickness,and the smaller the plate thickness,the more inaccurate the coefficient of restitution predicted by the existing model,which seriously affects the process of collision *** remedy this shortcoming,this paper proposes a plate thickness influence factor with the ratio of sphere diameter to plate thickness as the *** plate thickness influence factor can optimize the coefficient of restitution model to effectively predict the coefficient of restitution of impacting elastoplastic spheres with finite plate ***,the validity of the new model is verified using a large amount of experimental data.

关键词： Collision Coefficient of restitution Energy loss Sphere

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Optimization of Regional Energy-Water Nexus system Under Multiple Uncertainties 15th

Optimization of Regional Energy-Water Nexus System Under Mul...

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15th International Conference on Environmental Science and Development, ICESD 2024

作者： Liu, Ruoyan Li, Yongping Huang, Guohe Zhou, Yanxiao Li, Yanfeng State Key Joint Laboratory of Environmental Simulation and Pollution Control School of Environment Beijing Normal University Beijing China Institute for Energy Environment and Sustainable Communities University of Regina ReginaSask Canada

ISBN: (纸本)9783031886829

In this paper, an interval chance-constrained programming (ICCP) method is proposed for collaborative energy-water nexus (EWN) system under multiple uncertainties. This method can solve the uncertainties expressed as probability distribution and interval. An ICCP-based energy-water nexus (ICCP-EWN) model is established, where 15 scenarios are designed for assessing the effect of water cycle coefficients and constraint violation risk. The results show that: (i) coal would remain the main energy sources for future energy supply, but the proportion of clean energy (e.g., natural gas, biomass) in the future power generation structure would significantly increase (about 15.6%);(ii) the water withdrawal of power generation in the energy system would be largest, where thermal power generation would have the largest proportion of water withdrawal, accounting for 85.0%;(iii) the decreasing α level and increasing p level will bring higher system benefits, and the reliability of the system would be reduced. These results can help determine the energy mix of a planned area, improve security of energy supply, and make trade-off between system benefits and the risk of violating constraints. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Normal distribution

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Differences in distributions, assembly mechanisms, and putative interactions of AOB and NOB at a large spatial scale

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Frontiers of Environmental Science & Engineering 2023年第10期17卷 55-64页

作者： Bing Zhang Chenxiang Sun Huimin Lin Wei Liu Wentao Qin Tan Chen Ting Yang Xianghua Wen College of Life and Environmental Sciences Minzu University of ChinaBeijing 100081China Environmental Simulation and Pollution Control State Key Joint Laboratory School of EnvironmentTsinghua UniversityBeijing 100084China Institute of Plant Protection Beijing Academy of Agriculture and Forestry SciencesBeijing 100097China

Ammonia-oxidizing bacteria (AOB) and nitrite-oxidizing bacteria (NOB) play crucial roles in removing nitrogen from sewage in wastewater treatment plants (WWTPs) to protect water resources. However, the differences in ecological properties and putative interactions of AOB and NOB in WWTPs at a large spatial scale remain unclear. Hence, 132 activated sludge (AS) samples collected from 11 cities across China were studied by utilizing 16S rRNA gene sequencing technology. Results indicated that Nitrosomonas and Nitrosospira accounted for similar ratios of the AOB community and might play nearly equal roles in ammonia oxidation in AS. However, Nitrospira greatly outnumbered other NOB genera, with proportions varying from 94.7% to 99.9% of the NOB community in all WWTPs. Similar compositions and, hence, a low distance–decay turnover rate of NOB (0.035) across China were observed. This scenario might have partly resulted from the high proportions of homogenizing dispersal (~13%). Additionally, drift presented dominant roles in AOB and NOB assembling mechanisms (85.2% and 81.6% for AOB and NOB, respectively). The partial Mantel test illustrated that sludge retention time and temperature were the primary environmental factors affecting AOB and NOB communities. Network results showed that NOB played a leading role in maintaining module structures and node connections in AS. Moreover, most links between NOB and other microorganisms were positive, indicating that NOB were involved in complex symbioses with bacteria in AS.

关键词： Activated sludge Spatial distributions Microbial assembly Co-occurrence patterns Nitrifying bacteria

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Machine learning for membrane bioreactor research:principles,methods,applications,and a tutorial

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Frontiers of Environmental Science & Engineering 2025年第3期19卷 119-144页

作者： Yizhe Lai Kang Xiao Yifan He Xian Liu Jihua Tan Wenchao Xue Aiqian Zhang Xia Huang Beijing Yanshan Earth Critical Zone National Research Station College of Resources and EnvironmentUniversity of Chinese Academy of SciencesBeijing 101408China Key Laboratory of Earth System Numerical Modeling and Application University of Chinese Academy of SciencesBeijing 101408China Environmental Chemistry Faculty College of Resources and EnvironmentUniversity of Chinese Academy of SciencesBeijing 101408China State Key Laboratory of Environmental Chemistry and Ecotoxicology Research Center for Eco-Environmental SciencesChinese Academy of SciencesBeijing 100085China Department of Energy Environmentand Climate ChangeSchool of EnvironmentResourcesand DevelopmentAsian Institute of TechnologyP.O.Box 4Klong LuangPathumthani 12120Thailand State Key Joint Laboratory of Environment Simulation and Pollution Control School of EnvironmentTsinghua UniversityBeijing 100084China

Membrane fouling poses a significant challenge to the sustainable development of membrane bioreactor(MBR)technologies for wastewater *** accurate prediction of the membrane filtration process is of great importance for identifying and controlling *** learning methods address the limitations of traditional statistical approaches,such as low accuracy,poor generalization ability,and slow convergence,particularly in predicting complex filtration and fouling processes within the realm of big *** article provides an in-depth exposition of machine learning *** study then reviews advances in MBRs that utilize machine learning methods,including artificial neural networks(ANN),support vector machines(SVM),decision trees,and ensemble *** on current literature,this study summarizes and compares the model input and output characteristics(including foulant characteristics,solution environments,filtration conditions,operating conditions,and time factors),as well as the selection of models and optimization *** modeling procedures of SVM,random forest(RF),back propagation neural network(BPNN),long short-term memory(LSTM),and genetic algorithm-back propagation(GA-BP)methods are elucidated through a tutorial *** simulation results demonstrated that all five methods yielded accurate predictions with R2>***,the existing challenges in the implementation of machine learning models in MBRs were *** is notable that integration of deep learning,automated machine learning(AutoML)and explainable artificial intelligence(XAI)may facilitate the deployment of models in practical engineering *** insights presented here are expected to facilitate the establishment of an intelligent control framework for MBR processes in future endeavors.

关键词： Membrane bioreactor Machine learning Pollutant removal Membrane fouling Model prediction

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Active Compliance control of a Position‑controlled Industrial Robot for Simulating Space Operations

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Chinese Journal of Mechanical Engineering 2022年第6期35卷 63-75页

作者： Jun He Mingjin Shen Feng Gao Haibo Zhang State Key Laboratory of Mechanical System and Vibration School of Mechanical EngineeringShanghai Jiao Tong UniversityShanghai 200240China Beijing Institute of Control Engineering Beijing 100190China

An industrial robot with a six-axis force/torque sensor is usually used to produce a zero-gravity environment for testing space robotic ***,using traditional force control methods,such as admittance control,causes position-controlled industrial robots to undergo from force divergence owing to intrinsic time *** this paper,a new force control method is proposed to eliminate the force divergence.A hardware-in-the-loop(HIL)simulator with an industrial robot is first *** free-floating satellite dynamics and the motion mapping from the satellites to simulator are both ***,the effects of measurement delay and dynamic response delay on contact velocity and force are *** that,a real-time estimation method for contact stiffness and damping is proposed based on the adaptive Kalman *** measurement delay is compensated by a phase lead ***,the identified contact parameters are adopted to modify contact forces,and thus the dynamics response delay can be compensated ***,a co-simulation and experiments were conducted to verify the force control *** results show that contact stiffness and damping could be identified exactly and that the simulation divergence could be *** paper proposes an active compliance control method that can deal with force constrained tasks of a position-controlled robot in unknown environments.

关键词： Contact stiffness Parameter estimation Force control Space operation

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Bald Eagle Search Algorithm for Parameter Identification of Proton Exchange Membrane Fuel Cell

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FRONTIERS IN ENERGY RESEARCH 2022年 10卷

作者： Yang, Bo Li, Danyang Zeng, Chunyuan Han, Yiming Li, Junhui Key Laboratory of Modern Power System Simulation and Control and Renewable Energy Technology Ministry of Education Northeast Electric Power University Jilin China Faculty of Electric Power Engineering Kunming University of Science and Technology Kunming China

A precise and reliable proton exchange membrane fuel cell (PEMFC) parameter identification performs an essential function in simulation analysis, optimal control, and performance research of actual PEMFC systems. Unfortunately, achieving an accurate, efficient, and stable parameter identification can sometimes be problematic for traditional optimization methods, owing to its strong coupling, inherent nonlinear, and multi-variable characteristics. Therefore, an advanced bald eagle search (BES) algorithm is designed to dependably identify the unknown parameters of the electrochemical PEMFC model in this work. For evaluating and analyzing the overall optimization performance of the BES comprehensively, it is compared with the genetic algorithm (GA) based on MATLAB under three cases. According to the simulation results, the optimum root mean square error (RMSE) achieved by BES is 96.27% less than that achieved by GA in parameter identification, which fully indicates that the precision, accuracy, and stability of the optimization results can be remarkably improved via the application of BES.

关键词： proton exchange membrane fuel cell parameter identification bald eagle search algorithm metaheuristic algorithm MATLAB

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Aerodynamic Characteristics of Corrugated Features for Ahmed Model 3

Aerodynamic Characteristics of Corrugated Features for Ahmed...

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2023 3rd International Conference on Fluid and Chemical Engineering, ICFCE 2023

作者： Zhang, Junning Hu, Xingjun Wen, Zhen Guo, Peng Qing, Yuxiao Zhao, Lifei Lv, Daqi Li, Shangyuan Fan, Ziying State Key Laboratory of Automotive Simulation and Control Jilin University Changchun130022 China College of Automotive Engineering Jilin University Changchun130022 China

The numerical simulation method is used to mimic the outflow field of 30 ° Ahmed model. The accuracy of the simulation method is verified by comparing with the wind tunnel test results. Based on the aerodynamic characteristics of the wind tunnel model, the impact of Ahmed on the structure is explored by combining the numerical simulation method of Ahmed model. The results show that the fold structure has more significant effect on lift and less effect on aerodynamic resistance. © Published under licence by IOP Publishing Ltd.

关键词： Lift

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