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Improving the pollutant removal efficiency of packed-bed plasma reactors incorporating ferroelectric components

机译:提高掺入铁电部件的填充床等离子体反应器的污染物去除效率

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In this work we have studied the plasma removal of air contaminants such as methane, chloroform, toluene and acetone in two parallel plate packed-bed dielectric barrier discharge (DBD) reactors of different sizes. Removal and energy efficiencies have been determined as a function of the residence time of the contaminated air within the reactor, the kind of packed-bed material (ferroelectrics or classical dielectric materials), the frequency and the incorporation of a ferroelectric plate onto the active electrode together with the inter-electrode ferroelectric pellets filling the gap. Results at low frequency with the small reactor and the ferroelectric plate showed an enhancement in energy efficiency (e.g., it was multiplied by a factor of six and three for toluene and chloroform, respectively) and in removal yield (e.g., it increased from 22% to 52% for chloroform and from 15% to 21% for methane). Such enhancements have been attributed to the higher energy Of plasma electrons and a lower reactor capacitance found for this plate-modified configuration. A careful analysis of reaction efficiencies and electron energy distributions for the different investigated conditions and the simulation of the electric field at the necks between ferroelectric/dielectric pellets complete the present study. OVerall, the obtained results prove the critical role of the barrier architecture and operating conditions for an enhanced performance of pollution removal processes using DBD systems. (C) 2016 Elsevier B.V. All rights reserved.
机译:在这项工作中,我们研究了不同尺寸的两个平行板填充床介电阻挡放电(DBD)反应器中的甲烷,氯仿,甲苯和丙酮等血浆去除甲烷,氯仿,甲苯和丙酮等等离子体去除。已经确定了反应器内污染空气的停留时间的函数,填充床材料(铁电解或典型介电材料),频率和将铁电板的掺入到活性电极上的函数与电极间铁电颗粒一起填充间隙。用小反应器的低频结果,铁电板的能量效率提高(例如,它们分别乘以甲苯和氯仿的六倍倍,除去产率(例如,它从22%增加氯仿52%,甲烷的15%〜21%)。这种增强件已归因于等离子体电子的较高能量和找到该板改性配置的较低反应器电容。对不同研究条件的反应效率和电子能量分布的仔细分析,铁电/介电粒料颈部之间的电场模拟完成本研究。总的来说,所获得的结果证明了屏障架构的关键作用以及使用DBD系统提高污染去除过程性能的效应。 (c)2016年Elsevier B.v.保留所有权利。

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