摘要
采用SNCR反应详细机理建立了SNCR计算模型,仿真结果与实验结果的脱硝曲线整体趋势基本一致,同时利用Chemkin-Pro对SNCR反应进行仿真计算,针对NSR、反应停留时间、添加剂（CO、H2、CH4）浓度、NO初始浓度、氧气浓度、水蒸气浓度及反应压强等多种影响SNCR反应的因素进行了深入研究,分析各因素对SNCR反应的影响规律。仿真计算结果表明,O2及添加剂（CH4、CO、H2）均可以降低SNCR所需的反应温度,提高NSR可以令最佳脱硝效率温度显著降低,停留时间的延长在一定范围内可以提高脱硝效率,同时使温度窗口略有降低,水蒸气浓度与NO初始浓度的影响在低温段与高温段具有不同的作用特征,反应压强的提高可降低SNCR所需的反应温度但同时会令出口NO2含量上升。研究结果可为超超临界循环流化床锅炉超低NOx排放技术的参数优化提供参考。
A model of SNCR was built with the detailed mechanism of reaction, where the SNCR reaction was simulated by Chemldn-Pro and the simulation results are consistent with the overall trend of the denitmtion curve of the experimental results. The effects of NSR, CO, HE, CH4 concentration, NO concentration, oxygen concentration, water vapor concentration and reaction pressure were investigated. The factors concerning SNCR reactions were profoundly studied and analyzed in order to provide future reference for industrial production particularly in the respect of parameter optimization. According to the results, both the 02 and the additive （CH4, CO, H2） can reduce the temperature needed for SNCR reactions, and the increase of the NSR will significantly reduce the optimal temperature. The extension of residence time can improve the denitrification efficiency, in the meantime, the temperature window is slightly reduced. The influence of the water vapor concentration and the initial concentration of NO have different characteristics in the low temperature and high temperature range. The increase of operating pressure can also reduce the temperature needed for SNCR, with the side effect of increasing NO2 content. The results can provide reference for the parameter optimization of ultra-low NOx emission technology in an ultra supercritical fluidized-bed combustion boiler.
出处
《中国电机工程学报》
EI
CSCD
北大核心
2018年第2期383-389,共7页
Proceedings of the CSEE
基金
国家重点研发计划项目(2016YFB0600202)~~
关键词
选择性非催化还原(SNCR)
脱硝
仿真
超超临界
循环流化床(CFB)
selective denitriflcation
simulation
fluidized bed （CFB） non-catalytic reduction （SNCR）
ultra supercritical
circulating
