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工艺操作参数对烟气SNCR脱硝性能影响的数值模拟

姜金东 林晨 张曜 于娟 张忠孝

中国电机工程学报2018,Vol.38Issue(2):383-389,7.
中国电机工程学报2018,Vol.38Issue(2):383-389,7.DOI:10.13334/j.0258-8013.pcsee.171911

工艺操作参数对烟气SNCR脱硝性能影响的数值模拟

Numerical Simulation of Effect of Process Operation Parameters on Flue Gas Denitrification Performance of SNCR

姜金东 1林晨 1张曜 1于娟 1张忠孝1

作者信息

  • 1. 上海交通大学机械与动力工程学院,上海市闵行区200240
  • 折叠

摘要

Abstract

A model of SNCR was built with the detailed mechanism of reaction,where the SNCR reaction was simulated by Chemkin-Pro and the simulation results are consistent with the overall trend of the denitration curve of the experimental results.The effects of NSR,CO,H2,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 O2 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.

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)

Key words

selective non-catalytic reduction (SNCR)/denitrification/simulation/ultra supercritical/circulating fluidized bed (CFB)

分类

能源科技

引用本文复制引用

姜金东,林晨,张曜,于娟,张忠孝..工艺操作参数对烟气SNCR脱硝性能影响的数值模拟[J].中国电机工程学报,2018,38(2):383-389,7.

基金项目

国家重点研发计划项目(2016YFB0600202).National Key R&D Program of China (2016YFB0600202). (2016YFB0600202)

中国电机工程学报

OA北大核心CSCDCSTPCD

0258-8013

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