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首页> 外文期刊>International Journal of Environment and Pollution >Computational modelling of NO_x removal by selective non-catalytic reduction
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Computational modelling of NO_x removal by selective non-catalytic reduction

机译:通过选择性非催化还原去除NO_x的计算模型

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This paper presents the results of computational kinetic modelling of the removal of nitrogen oxides (NO x) from flue gases by selective non-catalytic reduction (SNCR) process using urea as a reducing agent. CHEMKIN and SENKIN computer codes were used with latest reaction mechanism parameters for simulated conditions in an isothermal plug flow reactor. Flue gas initial conditions were simulated as 70 litres/min propane containing 500 ppm background NOx' A range of molar ratios was studied at optimum temperature. Carbon monoxide and hydrogen were investigated as potential enhancers to lower the temperature window. The modelling results suggested that the optimum temperature for peak reduction was around 1075°C with optimum molar ratios of 1.5. Hydrogen was found to be an efficient enhancer. The optimum residence time was found to be about 80 milliseconds.
机译:本文介绍了使用尿素作为还原剂通过选择性非催化还原(SNCR)工艺从烟道气中去除氮氧化物(NO x)的计算动力学模型的结果。将CHEMKIN和SENKIN计算机代码与最新的反应机理参数一起用于等温塞流反应器中的模拟条件。烟气初始条件模拟为70升/分钟的丙烷,其中含有500 ppm背景NOx'。在最佳温度下研究了摩尔比范围。研究了一氧化碳和氢气作为降低温度范围的潜在增强剂。建模结果表明,最佳峰还原温度为1075°C,最佳摩尔比为1.5。发现氢是有效的增​​强剂。发现最佳停留时间为约80毫秒。

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