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Environmental catalysis: a solution for the removal of atmospheric pollutants

Science Bulletin 2015年第19期60卷 1708-1710页

作者： Hongxing Dai Beijing Key Laboratory for Green Catalysis and Separation Key Laboratory of Beijing on Regional Air Pollution Control Key Laboratory of Advanced Functional Materials Ministry of Education and Laboratory of Catalysis Chemistry and Nanoscience Department of Chemistry and Chemical Engineering College of Environmental and Energy EngineeringBeijing University of Technology

Atmospheric pollutants such as nitrogen oxides(NO x),carbon monoxide,and volatile organic compounds(VOCs),chiefly emanating from industrial activities and transportation vehicles,are harmful to human *** is one of the most effective and economic technologies to control serious air pollution problems;however,the key issue is the availability of high-performance *** efforts have been made to develop

关键词：大气污染物环境催化挥发性有机物交通运输工具高性能催化剂氮氧化物一氧化碳工业活动

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optimization of Catalytic Naphtha Reforming Process Based on Modified Differential Evolution Algorithm ∗

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IFAC-PapersOnLine 2015年第8期48卷 373-378页

作者： Min Wei Minglei Yang Feng Qian Wenli Du Key Laboratory of Advanced Control and Optimization for Chemical Process Ministry of Education Shanghai CO 200237 PRC Tel: ***

Catalytic naphtha reforming is one of the most important processes for high octane gasoline manufacture and aromatic hydrocarbons production. In this article, a modified differential evolution (DE) algorithm is proposed to optimize an actual continuous catalytic naphtha reforming (CCR) process. The optimization problem considers to minimize the energy consumption and maximize the aromatics yield. The CCR process model is established by adopting the 27-lumped kinetics reaction network, and all parameters are adjusted based on the actual process data. The DE algorithm is modified to maintain the diversity of the population. In this mechanism, individuals further from the best individual have larger possibilities to be selected in the mutation operator. The modified DE is evaluated by solving 6 benchmark functions, and the performance is compared with classic DEs. The results demonstrate that the modified DE has better global search ability and higher computation efficiency. Furthermore, the optimization results of catalytic naphtha reforming process indicate that the proposed algorithm has the ability of locating the optimal operating points, in which the aromatics yield is improved, while energy consumption is reduced. Meanwhile, the optimal operating points and results are discussed at the end of the article.

关键词： Catalytic naphtha reforming process Energy consumption Differential evolution Global search

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A novel 3-layer mixed cultural evolutionary optimization framework for optimal operation of syngas production in a Texaco coal-water slurry gasifier

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Chinese Journal of chemical Engineering 2015年第9期23卷 1484-1501页

作者：曹萃文张亚坤于腾顾幸生辛忠李杰 Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of Education East China University of Science and Technology State Key Laboratory of Chemical Engineering East China University of Science and Technology State Key Laboratory of Multiphase Complex Systems Institute of Processing Engineering Chinese Academy of Sciences

Optimizing operational parameters for syngas production of Texaco coal-water slurry gasifier studied in this paper is a complicated nonlinear constrained problem concerning 3 BP(Error Back Propagation) neural networks. To solve this model, a new 3-layer cultural evolving algorithm framework which has a population space, a medium space and a belief space is firstly conceived. Standard differential evolution algorithm(DE), genetic algorithm(GA), and particle swarm optimization algorithm(PSO) are embedded in this framework to build 3-layer mixed cultural DE/GA/PSO(3LM-CDE, 3LM-CGA, and 3LM-CPSO) algorithms. The accuracy and efficiency of the proposed hybrid algorithms are firstly tested in 20 benchmark nonlinear constrained functions. Then, the operational optimization model for syngas production in a Texaco coal-water slurry gasifier of a real-world chemical plant is solved effectively. The simulation results are encouraging that the 3-layer cultural algorithm evolving framework suggests ways in which the performance of DE, GA, PSO and other population-based evolutionary algorithms(EAs) can be improved,and the optimal operational parameters based on 3LM-CDE algorithm of the syngas production in the Texaco coalwater slurry gasifier shows outstanding computing results than actual industry use and other algorithms.

关键词： 3-Layer mixed cultural evolutionary framework Optimal operation Syngas production Coal-water slurry gasifier

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Hellinger distance based probability distribution approach to performance monitoring of nonlinear control systems

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Chinese Journal of chemical Engineering 2015年第12期23卷 1945-1950页

作者：李晨黄彪钱锋 Key Laboratory of Advanced Control and Optimization Ministry of EducationEast China University of Science and Technology Department of Chemical and Materials Engineering University of Alberta

control performance monitoring has attracted great attention in both academia and industry over the past two decades. However, most research efforts have been devoted to the performance monitoring of linear control systems, without considering the pervasive nonlinearities(e.g. valve stiction) present in most industrial control systems. In this work, a novel probability distribution distance based index is proposed to monitor the performance of non-linear control systems. The proposed method uses Hellinger distance to evaluate change of control system performance. Several simulation examples are given to illustrate the effectiveness of the proposed method.

关键词： control performance monitoring Kernel density estimation Hellinger distance Nonlinear system

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Magnetic frustration driven by itinerancy in spinel CoV2O4

arXiv

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arXiv 2017年

作者： Lee, J.H. Ma, J. Hahn, S.E. Cao, H.B. Hong, Tao Okamoto, S. Zhou, H.D. Matsuda, M. Fishman, R.S. School of Energy and Chemical Engineering Ulsan National Institute of Science and Technology Ulsan44919 Korea Republic of Materials Science and Technology Division Oak Ridge National Laboratory Oak RidgeTN37831 United States Key Laboratory of Artificial Structures and Quantum Control Department of Physics and Astronomy Shanghai Jiao Tong University Shanghai200240 China Collaborative Innovation Center of Advanced Microstructures Nanjing Jiangsu210093 China Department of Physics and Astronomy University of Tennessee KnoxvilleTN37996 United States Neutron Data Analysis and Visualization Division Oak Ridge National Laboratory Oak RidgeTN37831 United States Quantum Condensed Matter Division Oak Ridge National Laboratory Oak RidgeTN37831 United States

Localized spins and itinerant electrons rarely coexist in geometrically-frustrated spinel lattices. We show that the spinel CoV2O4 stands at the crossover from insulating to itinerant behavior and exhibits a complex interplay between localized spins and itinerant electrons. In contrast to the expected paramagnetism, localized spins supported by enhanced exchange couplings are frustrated by the effects of delocalized electrons. This frustration produces a non-collinear spin state and may be responsible for macroscopic spin-glass behavior. Competing phases can be uncovered by external perturbations such as pressure or magnetic field, which enhance the frustration. Copyright © 2017, The Authors. All rights reserved.

关键词： Cobalt compounds

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Design of a visual information-based brain-computer interface control system

Design of a visual information-based brain-computer interfac...

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International Conference on Natural Computation (ICNC)

作者： Huiping Hu Jing Jin Yu Zhang Xingyu Wang Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of Education Shanghai China

ISBN: (纸本)9781467376808

Brain computer interface (BCI) could help patients to manipulate external devices based on the specific brain activities. One of the most popular BCI systems is the visual-based BCI system. Mostly, users were asked to pay attention not only to the target stimulus, but also to the real control target which would bring high workload to users and affect the control efficiency of BCI systems. In this paper, a real-time monitoring system was developed to solve this problem by showing the environment information from the camera on the computer screen. Five subjects took part in this experiment and all of them were asked to control a small car to the target position. Our result showed that all subjects could finish the task within two or three minutes. In this study, subject did not need to switch their attention on the car which was out of their sight, and it would help to improve the usability of BCI in the practical application.

关键词： Electrodes Silicon Biology Monitoring Electroencephalography Navigation Robots

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Design and control of a p-xylene oxidation process

Design and control of a p-xylene oxidation process

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作者： Tao, Lili Hu, Zhihua Qian, Feng College of Engineering Shanghai Second Polytechnic University Shanghai201209 China Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of Education East China University of Science and Technology Shanghai200237 China

The p-xylene (PX) oxidation process is of great industrial importance because of the strong demand of the global polyester fiber. A steady-state model of the PX oxidation has been studied by many researchers. In our previous work, a novel industrial p-xylene oxidation reactor model using the free radical mechanism based kinetics has been developed. However, the disturbances such as production rate change, feed composition variability and reactor temperature changes widely exist in the industry process. In this paper, dynamic simulation of the PX oxidation reactor was designed by Aspen Dynamics and used to develop an effective plantwide control structure, which was capable of effectively handling the disturbances in the load and the temperature of the reactor. Step responses of the control structure to the disturbances were shown and served as the foundation of the smooth operation and advanced control strategy of this process in our future work. © 2015 Elsevier B.V.

关键词： Oxidation

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Convergence analysis for an identifier-based adaptive dynamic programming algorithm

Convergence analysis for an identifier-based adaptive dynami...

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Chinese control Conference (CCC)

作者： Jun Song Yugang Niu Yuanyuan Zou Key Laboratory of Advanced Control and Optimization for Chemical Process East China University of Science and Technology China Key Laboratory of Advanced Control and Optimization for Chemical Process East China University of Science and Technology Shanghai China

This paper investigates the uniformly ultimate boundedness (UUB) of an identifier-based adaptive dynamic programming (ADP) algorithm proposed in [7]. It is demonstrated that the estimation errors of weights in both critic and action networks are UUB during iteration learning. Moreover, a selection method on learning rates is also given.

关键词： Markov processes Artificial neural networks Heuristic algorithms Optimal control Algorithm design and analysis Estimation error Convergence

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Robust optimization for a Multi-Product Integrated Problem of Planning and Scheduling under Products Uncertainty

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Journal of Applied Mathematics and Physics 2015年第1期3卷 16-24页

作者： Mengwen Chen Cuiwen Cao Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of Education East China University of Science and Technology Shanghai China

This paper presents robust optimization models for a multi-product integrated problem of planning and scheduling (based on the work of Terrazas-Moreno & Grossmann (2011) [1]) under products prices uncertainty. With the objective of maximizing the total profit in planning time horizon, the planning section determines the amount of each product, each product distributed to each market, and the inventory level in each manufacturing site during each scheduling time period;the scheduling section determines the products sequence, start and end time of each product running in each production site during each scheduling time period. The uncertainty sets used in robust optimization model are box set, ellipsoidal set, polyhedral set, combined box and ellipsoidal set, combined box and polyhedral set, combined box, ellipsoidal and polyhedral set. The genetic algorithm is utilized to solve the robust optimization models. Case studies show that the solutions obtained from robust optimization models are better than the solutions obtained from the original integrated planning and scheduling when the prices are changed.

关键词： Uncertainty Robust optimization Integrated Problem of Planning and Scheduling GA

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Design and control of a p-xylene oxidation process

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Chinese Journal of chemical Engineering 2015年第12期23卷 1935-1944页

作者：陶莉莉胡志华钱锋 College of Engineering Shanghai Second Polytechnic University Key laboratory of Advanced Control and Optimization for Chemical Processes Ministry of EducationEast China University of Science and Technology

The p-xylene(PX) oxidation process is of great industrial importance because of the strong demand of the global polyester fiber.A steady-state model of the PX oxidation has been studied by many *** our previous work,a novel industrial p-xylene oxidation reactor model using the free radical mechanism based kinetics has been ***,the disturbances such as production rate change,feed composition variability and reactor temperature changes widely exist in the industry *** this paper,dynamic simulation of the PX oxidation reactor was designed by Aspen Dynamics and used to develop an effective plantwide control structure,which was capable of effectively handling the disturbances in the load and the temperature of the *** responses of the control structure to the disturbances were shown and served as the foundation of the smooth operation and advanced control strategy of this process in our future work.

关键词： p-Xylene oxidation Dynamic simulation Aspen Dynamics Process design and control

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