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首页> 外文期刊>IEEE Transactions on Dielectrics and Electrical Insulation >Experimental study on the optimization of dielectric barrier discharge reactor for NOxtreatment
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Experimental study on the optimization of dielectric barrier discharge reactor for NOxtreatment

机译:介质阻挡放电反应器优化NOx处理的实验研究

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摘要

In this paper, a comprehensive study of a DBD reactor is conducted to investigate the optimum operating conditions of the reactor for NOx treatment. For each parameter, the objective is to find the maximum NOx removal efficiency with the minimum consumed power. Different effective parameters of the reactor i.e. electrode length and diameter, electrode and dielectric materials as well as parameters of power generator, i.e. voltage and frequency, are investigated. The results show that for this configuration, the electrode with 20 cm length and 10 mm diameter has the best performance. Aluminum as the inside electrode material and quartz as the dielectric material are selected. Furthermore, the optimum value for the pulse frequency is 16.6 kHz. For the mentioned optimum conditions, the NOx removal efficiency achieved is equal to almost 82% at the input power of 486 W. Furthermore, the highest achieved NOx removal is almost 92% at the input power of 864 W. The results of this paper can be used to reduce the energy consumption of NTP systems to acceptable levels.
机译:在本文中,对DBD反应器进行了全面的研究,以研究用于NOx处理的反应器的最佳运行条件。对于每个参数,目标是找到具有最小消耗功率的最大NOx去除效率。研究了反应器的不同有效参数,即电极的长度和直径,电极和介电材料以及发电机的参数,即电压和频率。结果表明,对于这种配置,长度为20 cm,直径为10 mm的电极具有最佳性能。选择铝作为内部电极材料,并选择石英作为电介质材料。此外,脉冲频率的最佳值为16.6 kHz。在上述最佳条件下,输入功率486 W时,NOx去除效率几乎等于82%。此外,输入功率864 W时,最高NOx去除率几乎为92%。用于将NTP系统的能耗降低到可接受的水平。

著录项

  • 来源
  • 作者单位

    Amirkabir University of Technology, Department of Mechanical engineering, Tehran, Iran;

    Amirkabir University of Technology, Department of Mechanical engineering, Tehran, Iran;

    University of Shahid Beheshti, Laser and Plasma Research Institute, Tehran, Iran;

    University of Shahid Beheshti, Laser and Plasma Research Institute, Tehran, Iran;

    University of Salford, Petroleum and Gas Engineering Division, School of Computing, Science and Engineering (CSE), Manchester, United Kingdom;

    Queensland University of Technology, Biofuel Engine Research Facility, Australia;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Decision support systems;

    机译:决策支持系统;

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