气液双相强化的湿式氧化锰循环烟气脱硝研究

韩香莲, 陈学玺

现代化工 ›› 2018, Vol. 38 ›› Issue (1) : 165 -168,170.

PDF (1398KB)
现代化工 ›› 2018, Vol. 38 ›› Issue (1) : 165-168,170. DOI: 10.16606/j.cnki.issn0253-4320.2018.01.039
工艺与设备

气液双相强化的湿式氧化锰循环烟气脱硝研究

    韩香莲, 陈学玺
作者信息 +

Study on cyclic denitrification of flue gas by gas-liquid biphasic enhanced wet manganese oxide method

Author information +
文章历史 +
PDF (1431K)

摘要

采用NO2气体和MnO2固体进行气液两相强化吸收脱硝实验。NO2混入模拟烟道气中,提高氧化度,强化NO溶入吸收液中;MnO2混入稀硝酸中,将吸收产物及时氧化成硝酸锰。在填料塔内进行脱硝实验,主要考察MnO2浓度、NOx氧化度、反应温度、吸收液初始pH、液气比、Mn(NO32浓度对脱硝效率的影响。结果表明,优化各工艺参数,NOx的脱除效率可达82.68%;吸收液主要成分为Mn(NO32,不断累积后对脱硝率没有影响,浓缩热分解可得到NO2和MnO2

Abstract

The gas-liquid two-phase enhanced denitrification experiments are carried out in a packed tower by using gaseous NO2 and solid MnO2.NO2 is mixed into the simulated flue gas to enhance the degree of oxidation and strengthen the dissolution of NO gas into absorption solution.MnO2 is mixed into the dilute nitric acid to oxidize on time the absorbed products into manganese nitrate.The effects of MnO2 concentration,oxidation degree of NOx,reaction temperature,initial pH value of the absorption solution,ratio of liquid to gas and Mn(NO3)2 concentration on the denitrification efficiency are investigated.The results show that under the optimized process parameters,the removal efficiency of NOx can reach 82.68% and the main component of the absorption solution is Mn(NO3)2.The accumulation of Mn(NO3)2 has no effect on the denitrification efficiency.The NO2 and MnO2 can be obtained through the concentration and thermal decomposition of Mn(NO3)2,and both can be reused in denitrification of flue gas.

关键词

二氧化锰 / 循环脱硝 / 填料塔 / 氧化吸收 / 氧化度

Key words

manganese dioxide / cyclic denitrification / packed tower / oxidative absorption / oxidation degree

Author summay

韩香莲(1982-),女,博士生,研究方向为清洁化学工艺,angelhanxiang@163.com

引用本文

引用格式 ▾
气液双相强化的湿式氧化锰循环烟气脱硝研究[J]. 现代化工, 2018, 38(1): 165-168,170 DOI:10.16606/j.cnki.issn0253-4320.2018.01.039

登录浏览全文

4963

注册一个新账户 忘记密码

参考文献

AI Summary AI Mindmap
PDF (1398KB)

323

访问

0

被引

导航
相关文章

AI思维导图

/