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Degradation of metribuzin in the UV/chlorine process: kinetic model, degradation by-products and transformation pathways

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Environmental Science: Water research and Technology 2023年第7期9卷 1932-1943页

作者： Hu, Chen-Yan Huang, Dan-Dan Lin, Yi-Li Wang, Qiang-Bing Xu, Ling Dong, Zi-Yi Wu, Yi-Hui Ji, Sheng-Jie College of Environmental and Chemical Engineering Shanghai Engineering Research Center of Energy-Saving in Heat Exchange Systems Shanghai University of Electric Power Shanghai200090 China Department of Safety Health and Environmental Engineering National Kaohsiung University of Science and Technology No. 1 University Rd. Yanchao Dist. Taiwan Kaohsiung824 Taiwan Shanghai Institute of Pollution Control and Ecological Security Shanghai200092 China

This study novelly reported the degradation kinetics and the correlated formation of disinfection by-products (DBPs) of metribuzin, a widely used herbicide that contains nitrogen, in the UV/chlorine process. The influencing factors, including chlorine dosage, pH, and the presence of chloride (Cl−) and natural organic matter (NOM, simulated using humic acid (HA)) in water for metribuzin degradation were evaluated. The pseudo-first-order rate constant (kobs) of metribuzin during UV/chlorination was calculated to be 0.0986 min−1, which was 6.90 times higher than those of UV-alone and 1.53 times greater than that of chlorine-alone. The kobs increased with increasing chlorine dosage and decreasing pH value. Cl− could promote the degradation of metribuzin, while the content of metribuzin changed non-monotonically with HA concentration. Through the establishment of the kinetic model, the kobs of HO• with metribuzin was calculated to be 5.6 × 109 M−1 s−1, and HO• contributed to 20% of metribuzine degradation. The possible degradation pathways of metribuzin in the UV/chlorine process were proposed. In the sequential chlorine disinfection process, trichloromethane (TCM) was the dominant DBP in non-bromine water, while the content of tribromomethane (TBM) raised with increasing molar ratio of bromine to chlorine, which has to be carefully controlled in drinking water treatment plants to provide safe drinking water to the public. © 2023 The Royal Society of Chemistry.

关键词： Chlorine

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Deep Reinforcement Learning-Based Scheduling Optimization of a Wind-solar Coupled CHP Unit System Considering Source-load Uncertainty

Deep Reinforcement Learning-Based Scheduling Optimization of...

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Fully Actuated System Theory and Applications (CFASTA), Conference on

作者： Baohua Wang Xinglong Gao Xianlian Wang Zhixiao Wang Li Sun Shan Hua State Key Laboratory of Low-Carbon Smart Coal-Fired Power Generation and Ultra-Clean Emission China Energy Science and Technology Research Institute Co.Ltd. Nanjing China National Energy Changzhou Power Generation Co. Ltd. Changzhou China National Engineering Research Center of Power Generation Control and Safety School of Energy and Environment Southeast University Nanjing China

ISBN: (数字)9798350373691

ISBN: (纸本)9798350373707

Promoting the electric-thermal decoupling in combined heat and power (CHP) units is an effective way to enhance their peak-regulation capability and facilitate the integration of renewable energy. In order to address the problems of flexibility and source-load uncertainty in the operation of the CHP unit, this paper studies the deep reinforcement learning (DRL)-based efficient scheduling problem of a wind-solar coupled CHP unit system. The problem is optimized under the objective of comprehensive income for energy supply and the constraints of safe operation and supply-demand balance. Based on system operation characteristics in uncertain environments, a Markov decision process (MDP) model is designed so as to transform the scheduling optimization into a sequential decision problem. To achieve efficient and intelligent scheduling of the CHP unit, the co-optimization of electricity and heat decisions is achieved by a continuous DRL algorithm, twin delayed deep deterministic policy gradient (TD3). Simulation results under a typical day scenario in the heating season show that TD3 algorithm can promote the consumption of renewable energy and ensure the sustainable scheduling capability of the thermal storage device while satisfying power balances. Furthermore, based on the well-trained neural network, the system exhibits near-theoretically optimal results with rapid single-step scheduling duration, effectively enhancing the system’s adaptability to uncertainty.

关键词： Renewable energy sources Uncertainty Cogeneration Electricity Simulation Transforms Scheduling

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TOPSIS bird damage evaluation model based on entropy weight method 2

TOPSIS bird damage evaluation model based on entropy weight ...

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2nd International Conference on Electronic Information engineering and Computer Communication, EIECC 2022

作者： Li, Rui Yin, WeiWai Fang, Liang Wang, Rui Zou, HaoChen Meng, Li State Grid Jilin Power Supply Company UHV Branch State Grid Jilin Electric PowerSupply Company China Jilin Institute of Chemical Technology National Local Joint Engineering Research Center for Smart Distribution Grid Measurement and Control with Safety Operation Technology China

ISBN: (纸本)9781510663121

The evaluation of the bird damage system is of great significance for the protection of bird damage prevention in high-voltage transmission lines. The entropy weight method is introduced into the TOPSIS evaluation model, and the weight of each evaluation index is calculated with information entropy to reduce the subjectivity of determining the weight. Then an improved TOPSIS bird damage system evaluation model based on the entropy weight method is established, The Jilin Province's high-voltage transmission line 2021 annual bird damage evaluation was taken as an example, and the improved model was used to evaluate it. The results show that This model can weaken the impact of outliers, reduce errors caused by subjective empowerment, and effectively evaluate bird damage levels in real time. © 2023 SPIE.

关键词： Electric lines

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Fine-graded image classification network based on Faster MMAL-Net 2

Fine-graded image classification network based on Faster MMA...

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2nd International Conference on Electronic Information engineering and Computer Communication, EIECC 2022

作者： Han, Ke Ji, Xiu Xie, Beimin Wang, Yong Gao, Shuai State Grid Jilin Power Supply Company UHV Branch State Grid Jilin Electric PowerSupply Company China Jilin Institute of Chemical Technology National Local Joint Engineering Research Center for Smart Distribution Grid Measurement and Control with Safety Operation Technology China

ISBN: (纸本)9781510663121

In the fine-grained image classification task, the huge intra class variance determines that the classification of the task depends on coarse-grained and fine-grained information. However, there is still a lack of research on how to quickly and effectively fuse multi granularity features. Therefore, this paper proposes a fine-grained image classification network based on fast MMAL net, and studies the impact on the classification accuracy and convergence speed of fine-grained classification network. The fast aolm module is used to predict the position of the object, and the fast APPM module is used to predict the information of the key areas of the object without the need for bounding boxes or labels. The method proposed in this paper achieves high accuracy on the three data sets of Stanford cars cub-200-2011, fgvc aircraft and Stanford cars respectively, which shows that this method can obtain excellent classification performance. © 2023 SPIE.

关键词： Image classification

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The Caching and Pricing Strategy for Information-Centric Networking with Advertisers’Participation

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China Communications 2024年第3期21卷 283-295页

作者： Zheng Quan Yan Wenliang Wu Rong Tan Xiaobin Yang Jian Yuan Liu Xu Zhenghuan Laboratory for Future Networks Department of AutomationUniversity of Science and Technology of ChinaHefei 230026China Institute of Artificial Intelligence Hefei Comprehensive National Science CenterHefei 230088China Institute of Advanced Technology University of Science and Technology of ChinaHefei 230088China Suzhou Nuclear Power Research Institute Suzhou 215004China National Engineering Laboratory for Public Safety Risk Perception and Control by Big Data(NEL-PSRPC) China Academy of Electronics and Information Technology of CETCBeijing 100041China

As users’access to the network has evolved into the acquisition of mass contents instead of IP addresses,the IP network architecture based on end-to-end communication cannot meet users’***,the Information-Centric Networking(ICN)came into *** a technical point of view,ICN is a promising future network *** and customizing a reasonable pricing mechanism plays a positive role in promoting the deployment of *** current research on ICN pricing mechanism is focused on paid ***,we study an ICN pricing model for free content,which uses game theory based on Nash equilibrium to *** this work,advertisers are considered,and an advertiser model is established to describe the economic interaction between advertisers and ICN *** solution can formulate the best pricing strategy for all ICN entities and maximize the benefits of each *** extensive analysis and numerical results show that the proposed pricing framework is significantly better than existing solutions when it comes to free content.

关键词： advertisers cache free content Information-Centric Networking pricing strategy

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An Improved Blur Circle Detection Method for Geometric Calibration of Multi-Focus Light Field Cameras

SSRN

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SSRN 2022年

作者： Chen, Long Lei, Gang Wang, Tianxiang Xu, Chuanlong State Key Laboratory of Technologies in Space Cryogenic Propellants SEU Research Center Nanjing210096 China National Engineering Research Center of Power Generation Control and Safety School of Energy and Environment Southeast University Nanjing210096 China Technical Institute of Physics and Chemistry

Multi-focus light field cameras are increasingly gaining attention in the field of computational imaging and machine vision due to their capability to capture both spatial and angular information of light rays. Accurate calibration of the geometric parameters of multi-focus light field cameras is the prerequisite for implementing computational imaging techniques such as digital refocusing, depth reconstruction and 3D reconstruction. In this paper, an improved blur circle detection method is proposed for the calibration of multi-focus light field cameras. The Circular Hough Transform based circle detection method (CHTCDM) is used to obtain the sub-image centers accurately in white raw images. On this basis, the sub-images in the checkerboard images are classified, and the image corners are detected to determine the clusters of image corners corresponding to checkerboard corners. Then, the centers of plenoptic disc features (PDFs) are used as projection points of checkerboard corners on the light field image to calculate the camera pose. Levenberg-Marquardt method is further used to solve the calibration model. Finally, the calibration experiments of multi-focus light field cameras are carried out to evaluate the improved blur circle detection method. Experimental results indicated that the improved blur circle detection method has higher calibration accuracy of multi-focus light field camera than the blur circle detection method, while the mean reprojection error of the micro-lens centers and the image corners are 0.12 pixels and 0.33 pixels, and the mean relative distance error between adjacent checkerboards is 3.5%. © 2022, The Authors. All rights reserved.

关键词： Cameras

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Heat Transfer Performance of High-Temperature Heat Pipe Startup in Small Nuclear Reactors

SSRN

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SSRN 2023年

作者： Liu, Wenbin Zhou, Tao Mao, Shang Wei, Dong Xue, Chunhui Lu, Huaichang Yao, Yao Department of Nuclear Science and Technology School of Energy and Environment Southeast University Nanjing211189 China Institute of Nuclear Thermal-hydraulic Safety and Standardization Nanjing211189 China National Engineering Research Center of Power Generation Control and Safety Nanjing211189 China

As an important heat transfer element in a small heat pipe reactor(SHPR), the study of its start-up influencing factors is crucial for a heat pipe reactor. A heat pipe model is constructed using COMSOL Multiphysics software. The influence of power, inclination angle and convective heat transfer coefficient are calculated and compared to obtain the startup characteristics of the heat pipe. The results show that the heat pipe start-up time is shorter with increasing heating power, positive inclination angle, and small convection heat transfer *** temperature rise process in the condensing section takes a long time throughout the heat pipe startup process, and heating the condensing section at the early startup can speed up the startup process. Compared with the conventional start-up, the start-up time is shortened by 10.5% and 15.8% by adding the heating power of 0.1 FP and 0.2 FP, respectively. The acceleration effect decreases with increasing power. © 2023, The Authors. All rights reserved.

关键词： Heat pipes

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A Wind power Scenario Simulation Method Considering Trend and Randomness 16th

A Wind Power Scenario Simulation Method Considering Trend an...

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16th Annual Conference of China Electrotechnical Society, ACCES 2021

作者： Ji, Xiu Li, Cong Xie, Beimin Wang, Yan Wang, Qisu National Local Joint Engineering Research Center for Smart Distribution Grid Measurement and Control with Safety Operation Technology Changchun130000 China School of Electrical and Information Engineering Changchun Institute of Technology Changchun130000 China Maintenance Branch State Grid Jilin Electric Power Co. Ltd Changchun130000 China

ISBN: (纸本)9789811918698

In the future, large-scale integration of new energy into the grid is an inevitable trend. In order to effectively analyze the trend and random characteristics of wind power output, a wind power scenario simulation method is proposed. It is divided into scene generation and scene reduction. In the scenario generation part, historical data is used to construct an improved wind power forecast box model, and a non-parametric kernel smooth distribution is used as a fitting function, and then a multivariate standard normal distribution matrix and inverse transform sampling method are used to generate a set of wind power output scenarios that conform to autocorrelation. In the scene reduction part, a BR scene reduction model is constructed to obtain wind power curves representing several original scene characteristics. Taking the wind power output data of the German TenneT Electric power Company as an example, the probability calibration BS indicator is used as the quantitative evaluation standard for the generated scene, and the case analysis is carried out. Finally, it shows that the scenario simulation method is effective and reasonable, and it is also of great significance to the planning and operation of the wind power system. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Calibration

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A comparative study on the degradation of iohexol and diatrizoate during UV/persulfate process: kinetics, degradation pathways and iodinated disinfection by-products†

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Environmental Science: Water research and Technology 2024年第3期10卷 718-728页

作者： Hu, Chen-Yan Xu, Ling Lin, Yi-Li Li, Cong College of Environmental and Chemical Engineering Shanghai Engineering Research Center of Energy-Saving in Heat Exchange Systems Shanghai University of Electric Power Shanghai200090 China Shanghai Institute of Pollution Control and Ecological Security Shanghai200092 China Department of Safety Health and Environmental Engineering National Kaohsiung University of Science and Technology No. 1 University Rd. Yanchao Dist. Kaohsiung824 Taiwan School of Environment and Architecture University of Shanghai for Science and Technology Shanghai200093 China

Iodinated X-ray contrast media (ICM) are widely used in medical imaging due to their stable properties, but they cannot be effectively removed in wastewater treatment plants (especially hospital wastewater). Therefore, ICM have been widely detected in aquatic environments and may gradually accumulate and cause adverse effects to the creatures. In this paper, the degradation characteristics of two most commonly detected ICM, iohexol and diatrizoate, by ultraviolet/persulfate (UV/PS) were investigated. UV/PS can effectively degrade both ICM, with pseudo-first-order rate constants (kobs) of 0.3641 min−1 for iohexol and 0.3511 min−1 for diatrizoate, and SO4·− played a major role in UV/PS degradation of both ICM. The presence of I−, Cl−, Br−, humic acid (HA), and alkaline conditions inhibited the degradation efficiency of both ICM. Less I-DBPs were formed from iohexol at low PS and high Br− concentrations, but from diatrizoate at high PS and Br− concentrations. The degradation pathways of iohexol and diatrizoate in the UV/PS process were proposed separately according to the detected degradation intermediates. This study can provide an essential theoretical basis for the UV/PS degradation of the two ICM. © 2024 Royal Society of Chemistry. All rights reserved.

关键词： Degradation

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Intelligent Clustering Based Active power Allocation Strategy for Wind Turbines

Intelligent Clustering Based Active Power Allocation Strateg...

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Smart Grids and Energy Systems (SGES), International Conference on

作者： Zhihong Jiang Kangnan Song Guiyuan Liu Han Wu Han Li Hao Yang School of Electrical Engineering and Information Technology Changchun Institute of Technology Changchun China National Local Joint Engineering Research Center for Smart Distribution Grid Measurement and Control With Safety Operation Technology Changchun China International Joint Research Center for New Energy Power Generation and Network Control Technology of Jilin Province Changchun China

Aiming at the problem of uneven distribution of active power of each unit in a wind farm, an artificial intelligence clustering method based active power distribution strategy of wind turbine is proposed. Firstly, according to the actual operation data of the wind farm, the Pearson correlation coefficient is used to select the clustering data. Then, the Gaussian mixture model is used for clustering experiments. Finally, according to the clustering results, the distribution method of weight proportional coefficient is adopted to evenly distribute power to all units. The simulation results show that the proposed clustering method has a good evaluation score, and the power allocation strategy based on this can fully meet the scheduling criterias. All units can realize the smooth and orderly power rise and fall in the safe operation state, and avoid the problem of frequent start-stop and overload operation of some units caused by uneven power distribution.

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