中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Simulation and optimization of the post plasma-catalytic system for toluene degradation by a hybrid ANN and NSGA-II method

文献类型:期刊论文

作者Lu, D (Lu, Di)[ 1 ]; Morent, R (Morent, Rino)[ 3 ]; Cao, JJ (Cao, Junji)[ 2 ]; Wang, X (Wang, Xin)[ 4 ]; Chang, T (Chang, Tian)[ 1,3 ]; Lu, JQ (Lu, Jiaqi)[ 1 ]; Shen, ZX (Shen, Zhenxing)[ 1,2 ]; Huang, Y (Huang, Yu)[ 2 ]
刊名APPLIED CATALYSIS B-ENVIRONMENTAL
出版日期2019-05-05
卷号244页码:107-119
关键词Post-plasma-catalytic system Dielectric barrier discharge Toluene removal Artificial neural network Non-dominating sorting genetic algorithm II
产权排序2
英文摘要In this study, a post-non-thermal plasma (NTP)-catalytic system was developed for the removal of toluene over a series of MnCoOx/gamma-Al2O3 catalysts. The addition of the MnCoOx/gamma-Al2O3 catalysts markedly promoted the toluene removal efficiency, CO. yield, CO2 yield and energy yield (EY) compared with the plasma alone system. The 5 wt% MnCoOx/gamma-Al2O3 catalyst exhibited the best reaction performance, which could be attributed to the reducibility and surface active oxygen species of the catalyst. With artificial neural network (ANN), the effects of experimental parameters on the reaction performance of toluene degradation were modeled and analyzed; for this analysis, four parameters were considered, namely, discharge power, initial concentration of toluene, flow rate, and relative humidity. The results indicated that the predicted results fitted well with the experimental results. The discharge power was the most significant factor for the toluene removal efficiency and CO. yield, whereas the EY was the most influenced by the gas flow rate. A multi-objective optimization model was proposed to determine optimal experimental parameters, which was then solved using the non-dominating sorting genetic algorithm II (NSGA-II). The results revealed that the Pareto front obtained from the hybrid ANN and NSGA-II method provided a series of feasible and optimal process parameters for the post-NTP-catalytic system. This hybrid method also served as an effective tool to select process parameters according to application conditions and preferences.
语种英语
源URL[http://ir.ieecas.cn/handle/361006/10929]  
专题地球环境研究所_粉尘与环境研究室
通讯作者Shen, ZX (Shen, Zhenxing)[ 1,2 ]
作者单位1.Multiphase Chemistry Department, Max Planck Institute for Chemistry, Mainz, 55128, Germany
2.Department of Environmental Sciences and Engineering, Xi’an Jiaotong University, Xi’an, 710049, China;
3.Key Lab of Aerosol Chemistry & Physics, Institute of Earth Environment, Chinese Academy of Sciences, Xi’an, 710049, China;
4.Research Unit Plasma Technology, Department of Applied Physics, Faculty of Engineering and Architecture, Ghent University, Sint-Pietersnieuwstraat 41 – B4, 9000 Ghent, Belgium;
推荐引用方式
GB/T 7714
Lu, D ,Morent, R ,Cao, JJ ,et al. Simulation and optimization of the post plasma-catalytic system for toluene degradation by a hybrid ANN and NSGA-II method[J]. APPLIED CATALYSIS B-ENVIRONMENTAL,2019,244:107-119.
APA Lu, D .,Morent, R .,Cao, JJ .,Wang, X .,Chang, T .,...&Huang, Y .(2019).Simulation and optimization of the post plasma-catalytic system for toluene degradation by a hybrid ANN and NSGA-II method.APPLIED CATALYSIS B-ENVIRONMENTAL,244,107-119.
MLA Lu, D ,et al."Simulation and optimization of the post plasma-catalytic system for toluene degradation by a hybrid ANN and NSGA-II method".APPLIED CATALYSIS B-ENVIRONMENTAL 244(2019):107-119.

入库方式: OAI收割

来源:地球环境研究所

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