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Efficient adsorption of PFOS and F53B from chrome plating wastewater and their subsequent degradation in the regeneration process

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Chemical Engineering Journal 2016年 290卷 405-413页

作者： Du, Ziwen Deng, Shubo Liu, Dengchao Yao, Xiaolong Wang, Yu Lu, Xinyu Wang, Bin Huang, Jun Wang, Yujue Xing, Baoshan Yu, Gang State Key Joint Laboratory of Environment Simulation and Pollution Control Beijing Key Laboratory for Emerging Organic Contaminants Control School of Environment Tsinghua University Beijing 100084 China Stockbridge School of Agriculture University of Massachusetts Amherst 01003 MA United States

Wastewater from chrome plating industry contains high concentrations of perfluorooctane sulfonate (PFOS) and its alternative (chlorinated polyfluorinated ether sulfonate, namely F53B). It was the first time that simultaneous removal of PFOS and F53B from the actual wastewater was investigated using a granular reactivated carbon (R-CAC) prepared from commercial coconut-based activated carbon (CAC) through one-step KOH activation. The R-CAC removed much more PFOS and F53B than CAC, and even more than the best resin and chitosan reported. Both initial adsorption rate and adsorbed amount of F53B on R-CAC were much higher than PFOS, and adsorption isotherms of PFOS and F53B were described well by the Langmuir model. The coexisting organic matters in the wastewater were able to occupy the sorption sites for PFOS and F53B, significantly influencing their adsorption on R-CAC. The spent R-CAC was effectively regenerated by a novel method, hydrothermal-activated persulfate oxidation. The adsorbed PFOS and F53B as well as co-existing organic pollutants on R-CAC were degraded by persulfate free radicals, making sorption sites become available. The best regeneration efficiency of R-CAC was 93.3% and 97.6% for PFOS and F53B, respectively. This study accomplished the highly efficient adsorption and degradation of PFOS and F53B in actual wastewater. © 2016 Elsevier B.V.

关键词： Chrome plating wastewater F53B PFOS Reactivated carbon Regeneration

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A coordinate strategy of inverter and transformer control modes to improve static voltage stability in AC/DC power systems

A coordinate strategy of inverter and transformer control mo...

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IEEE General Meeting Power& Energy Society

作者： Jiping Xie Wen Zhang Hao Yang Yong Zhang Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education Shandong University Jinan China Maintenance Company of Zhejiang Electric Power Company State Grid Hangzhou China

ISBN: (纸本)9781538622131;9781538622124

In this paper, the impacts of inverter control mode switching and converter transformer control modes on the static voltage stability of AC/DC power systems are analyzed based on the quasi-steady-state model of HVDC systems. Based on the mechanism analysis, a new coordinate strategy of control modes of inverter and transformer is proposed to improve the static voltage stability of AC/DC systems. With load increasing, the coordinate strategy aims at keeping the power factor of the inverter as high as possible to minimize the reactive power demands of the DC system. simulation results demonstrate the correctness of the voltage stability analysis results and the effectiveness of the proposed coordinate strategy.

关键词： Switches Voltage control Stability analysis Indexes Reactive power Erbium

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Reasch on IED configurator automatic modeling based on IEC 61850

Reasch on IED configurator automatic modeling based on IEC 6...

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2017 IEEE Conference on Energy Internet and Energy system Integration, EI2 2017

作者： Shen, Baiqiang Yuan, Yongjun Xie, Liwei Zeng, Xiangjun Liu, Yixuan Luo, Hui Hangzhou Power Supply Company State Grid Zhejiang Electric Power Corporation Hangzhou Zhejiang Province China Hunan Province Higher Education Key Laboratory of Power System Safety Operation and Control Changsha University of Science and Technology Changsha Hunan Province410004 China Longyan Electric Power Supply Company State Grid Fujian Electric Power Company Longyan Fujian Province364000 China

ISBN: (纸本)9781538614273

Data modeling based on IEC 61850 standards is the basis for the realization of intelligent substation automation. Traditional manual modeling methods need spending lots of time, and some current intelligent electronic device (IED) configurators are not suitable for applications. To improve IEDs' data modeling methods and IED configurators' modeling methods, an IED configurator automatic modeling method is designed in this paper. Based on object-oriented modeling technology of IEC61850, decompositions and combinations of IED logical nodes, constructions of IED modeling files and configuration processes are analyzed in details. Designing methods of IED configurators' functions and modules are summarized. The application of the IED configurator automatic modeling method in HZP511 line protection monitoring and control device is demonstrated. Results: show that both of modeling workload and probability of error in modeling are greatly reduced compared with artificial modeling methods. © 2017 IEEE.

关键词： Automation

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Fidelity-based probabilistic q-learning for control of quantum systems

arXiv

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arXiv 2018年

作者： Chen, Chunlin Dong, Daoyi Li, Han-Xiong Chu, Jian Tarn, Tzyh-Jong Department of Control and System Engineering Nanjing University Nanjing210093 China Department of Chemistry Princeton University PrincetonNJ08544 United States School of Information Technology and Electrical Engineering University of New South Wales Australian Defence Force Academy CanberraACT2600 Australia Institute of Cyber-Systems and Control State Key Laboratory of Industrial Control Technology Zhejiang University Hangzhou310027 China Department of Systems Engineering and Engineering Management City University of Hong Kong Hong Kong Department of Electrical and Systems Engineering Washington University in St. Louis St. LouisMO63130 United States

The balance between exploration and exploitation is a key problem for reinforcement learning methods, especially for Q-learning. In this paper, a fidelity-based probabilistic Qlearning (FPQL) approach is presented to naturally solve this problem and applied for learning control of quantum systems. In this approach, fidelity is adopted to help direct the learning process and the probability of each action to be selected at a certain state is updated iteratively along with the learning process, which leads to a natural exploration strategy instead of a pointed one with configured parameters. A probabilistic Q-learning (PQL) algorithm is first presented to demonstrate the basic idea of probabilistic action selection. Then the FPQL algorithm is presented for learning control of quantum systems. Two examples (a spin- 1/2 system and a Λ-type atomic system) are demonstrated to test the performance of the FPQL algorithm. The results show that FPQL algorithms attain a better balance between exploration and exploitation, and can also avoid local optimal policies and accelerate the learning process. Copyright © 2018, The Authors. All rights reserved.

关键词： Reinforcement learning

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Real-time synchronous data visualization for wide area power systems

Real-time synchronous data visualization for wide area power...

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

作者： Yi Li Hengxu Zhang Gang Zhou Gang Liu Zhongkui Feng Qinggang Meng Key Laboratory of Power System Intelligent Dispatch and Control Shandong University Jinan China Zibo Power Supply Company State Grid Shandong Electric Power Company Zibo China

ISBN: (纸本)9781538614280

With the construction of global energy interconnection, plenty of fluctuating renewable energy access the distribution network, power system dynamic behavior is more complex. The wide-area measurement system light (WAMS Light) records the actual variation of the grid in the distribution network with high accuracy. Exploring the value of high-density, large-scale synchronous data and comprehensive visualization can efficiently reflect the behavior of the system. An open and interactive WAMS Light data visualization platform (WAMSLVP) is built with three-tier structure. WAMSLVP is designed by analysing the function requirements in multi-information fusion, multi-angle analysis, multi-layer integration, program flexible access based on the characteristics of distribution network. And WAMSLVP integrates the frequency, voltage magnitude, angle phase and other power information with the non-power information as multiple layers to compositive display based on geographic information system (GIS), facilitating the dispatchers simultaneously capture multiple information from different analysis just by a glance.

关键词： Data visualization Voltage measurement Frequency measurement Phasor measurement units Real-time systems Market research Power system dynamics

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Fault location in active distribution network based on the change of current phase

Fault location in active distribution network based on the c...

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

作者： Chen Zhang Zhong Liu Jun Huang Bo Wang Xiangnv Wang State Grid Yangzhou Power Supply Company Yangzhou PR China The Key Laboratory of power System Intelligent Dispatch and Control of the Ministry of Education Shandong University Jinan PR China

ISBN: (纸本)9781538614280

The growing penetration of the distributed generation (DG) makes the traditional passive distribution network change to active distribution network. A new fault location method is proposed in this paper based on the change of the current phase, which can be used in active distribution network. Specifically, a fault model of the invert DG is proposed, then the active distribution network model is established. The current phase difference between the two ends of the distribution line are calculated for both the normal operation and fault conditions. The relationship between the current phase and the location of the fault is summarized. A fault location criterion is proposed based on the change of the current phase difference. The correctness and effectiveness of the proposed method is verified using the practically measured data and the fault simulation.

关键词： Fault location Current measurement Photovoltaic systems Circuit faults Phasor measurement units Inverters

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A novel RNN-GBRBM based feature decoder for anomaly detection technology in industrial control network

A novel RNN-GBRBM based feature decoder for anomaly detectio...

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作者： Zhang, Hua Zhu, Shixiang Ma, Xiao Zhao, Jun Shou, Zeng State Key Laboratory of Networking and Switching Technology Beijing University of Posts and Telecommunications 100876 China Data Network of Power Dispatch Safety Protection of Electric Power Supervisory Control System State Gird Jiangsu Electric Power Company Shanghai Road No 215 Nanjing Jiangsu210024 China Safety Protection of Electric Power Supervisory Control System NARI Group Corporation No. 19 Chengxin Rd Jiangning Nanjing Jiangsu211000 China Dispatching Data Network and Secondary Safty Protection Electric Power Science Research Institute State Gird Jiangsu Electric Power Company Jiangning Paweier Road No 1 Nanjing Jiangsu211103 China

As advances in networking technology help to connect industrial control networks with the Internet, the threat from spammers, attackers and criminal enterprises has also grown accordingly. However, traditional Network Intrusion Detection system makes significant use of pattern matching to identify malicious behaviors and have bad performance on detecting zero-day exploits in which a new attack is employed. In this paper, a novel method of anomaly detection in industrial control network is proposed based on RNN-GBRBM feature decoder. The method employ network packets and extract high-quality features from raw features which is selected manually. A modified RNN-RBM is trained using the normal traffic in order to learn feature patterns of the normal network behaviors. Then the test traffic is analyzed against the learned normal feature pattern by using osPCA to measure the extent to which the test traffic resembles the learned feature pattern. Moreover, we design a semi-supervised incremental updating algorithm in order to improve the performance of the model continuously. Experiments show that our method is more efficient in anomaly detection than other traditional approaches for industrial control network. Copyright © 2017 The Institute of Electronics, Information and Communication Engineers.

关键词： Pattern matching

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Atomic layer reversal on CeO_2 (100) surface

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Science China Materials 2017年第9期60卷 903-908页

作者：黄静露余运波朱静于荣 National Center for Electron Microscopy in Beijing Key Laboratory of Advanced Materials of Ministry of Education of China and State KeyLaboratory of New Ceramics and Fine ProcessingSchool of Materials Science and EngineeringTsinghua UniversityBeijing 100084China State Key Joint Laboratory of Environment Simulation and Pollution Control Research Center for Eco-Environmental SciencesChinese Academy of SciencesBeijing 100085China Center for Excellence in Regional Atmospheric Environment Institute of Urban EnvironmentChinese Academy of SciencesXiamen 361021China University of Chinese Academy of Sciences Beijing 100049China

The structure and properties of CeO2 surfaces have been intensively studied due to their importance in a lot of surface-related applications. Since most of surface techniques probe the structure information inside the outermost surface plane, the subsurface structure information has been elusive in many studies. Using the profile imaging with aberration-corrected transmission electron microscopy, the structure information in both the outermost layer and the sublayers of the CeO2（100） surface has been obtained. In addition to the normal structures that have been reported before, where the surface is Ce-or O-terminated, a metastable surface has been discovered. In the new structure, there is an atomic layer reversal between the outermost layer and the sublayer, giving a structure with O as the outermost layer for the stoichiometry of normal Ce-terminated surface. The charge redistribution for the polarity compensation has also been changed relative to the normal surface.

关键词： surface structure ceria atomic layer reversal aberration-corrected TEM first-principles calculations

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Oxidation of benzalkonium chloride by gamma irradiation: kinetics and decrease in toxicity

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Journal of Radioanalytical and Nuclear Chemistry 2017年第3期312卷 631-637页

作者： Zibin Xu Xue Zhang Nan Huang Hong-ying Hu Environmental Simulation and Pollution Control State Key Joint Laboratory State Environmental Protection Key Laboratory of Microorganism Application and Risk Control (SMARC) School of Environment Tsinghua University Beijing People’s Republic of China Shenzhen Laboratory of Microorganism Application and Risk Control Graduate School at Shenzhen Tsinghua University Shenzhen People’s Republic of China Collaborative Innovation Center for Advanced Nuclear Energy Technology Institute of Nuclear and New Energy Technology Tsinghua University Beijing People’s Republic of China Shenzhen Environmental Science and New Energy Technology Engineering Laboratory Tsinghua-Berkeley Shenzhen Institute Shenzhen People’s Republic of China

The gamma degradation of toxic non-oxidizing biocide dodecyl dimethyl benzyl ammonium chloride (DDBAC) was investigated. The degradation of DDBAC achieved 70–100% depending on the initial concentration and the absorbed dose, but only 10–33% dissolved organic carbon was removed. The presence of NO3 −, HCO3 −, 2-propanol and tert-butanol inhibited the degradation of DDBAC. The DDBAC degradation rate constant ratios of ·OH, ·H and e aq − was calculated as 7.4:1.4:1. The acute toxicity of 10 mg L−1 DDBAC was removed by 60% at absorbed doses of 0.5–3.0 kGy. The results showed that gamma irradiation was effective to remove DDBAC and its toxicity.

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Interval Reliability Assessment of Power system under Epistemic Uncertainty Based on Belief UGF Method

Interval Reliability Assessment of Power System under Episte...

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2017 2nd Asia Conference on Power and Electrical Engineering (ACPEE2017)

作者： Bolun WANG Yong WANG Ying DING Ming LI Cong ZHANG Key Laboratory of Power System Intelligent Dispatch and Control Shandong University State Grid of China Technology College State Grid Shan Dong Electric Power Research Institute Shandong Zibo Power Supply Company

At present, reliability assessment plays an important role in power systems. When the component failure probabilities are interval valued, common methods fail to achieve reasonable interval reliability assessment result of power systems. In this paper a novel approach based on the belief universal generating function(BUGF) is proposed to calculate the reliability indexes of power systems. Instead of giving a single-valued assessment result, a belief function and a plausibility function are exploited to calculate the lower and upper bounds of the loss of load probability(LOLP), the loss of load expectation(LOLE), the expected unsupplied load(EUL) and the expected unsupplied energy(EUE) in UGF, respectively. The proposed approach can track the correlation of the original data well and keep it to the end of the calculation. By using BUGF compared to other common methods to calculate the interval LOLP, LOLE, EUL, and EUE of IEEE-RTS 79, the results show the BUGF method can track the correlation of the original data well, and can get narrower and more accurate interval reliability indexes of the power generation system, which illustrates the effectiveness of the proposed approach.

关键词： Interval Reliability Assessment of Power system under Epistemic Uncertainty Based on Belief UGF Method

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