黑龙江科学2024,Vol.15Issue(10) :60-63.

超低排放背景下锅炉脱硝深度优化研究

Research of Boiler Denitrification Depth Optimization Under the Background of Ultra-low Emission

刘兵兵
黑龙江科学2024,Vol.15Issue(10) :60-63.

超低排放背景下锅炉脱硝深度优化研究

Research of Boiler Denitrification Depth Optimization Under the Background of Ultra-low Emission

刘兵兵1
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作者信息

  • 1. 四川广安发电有限责任公司,四川 广安 638017
  • 折叠

摘要

在火电厂NOx 超低排放目标下,控制锅炉出口污染物的初始排放和提高尾部烟道选择性催化还原(SCR)脱硝技术的脱硝效率、实现NOx 超低排放、控制SCR运行成本、保证系统安全稳定运行是锅炉深度脱硝的关键.通过数值模拟和现场烟道改造测试,对现有SCR烟道结构进行优化设计,校正了烟道速度场、NOx 浓度场分布的均匀性.结果表明,烟道改造后,烟道速度场、NOx 浓度场分布更加均匀,脱硝出口的NOx 浓度相对标准偏差仅为3.19%,有利于减少氨的使用量,液氨单耗平均下降 15.94%,脱硝优化设备阻力增加95 Pa,改造效果较好,为锅炉脱硝深度优化提供了可借鉴的应用案例.

Abstract

Under the ultra-low emission of NOxin thermal power plants,controlling the initial emission of boiler outlet pollutants and improving the denitrification efficiency of tail flue selective catalytic reduction(SCR)denitrification technology,while achieving ultra-low emission of NOx,controlling SCR operating costs and safe and stable operation of the system are the key to the current deep denitrification of boilers.Through numerical simulation and field flue transformation test,the existing SCR flue structure is optimized and the distribution uniformity of flue velocity field and NOxconcentration field is corrected.The results show that after the flue reconstruction,the flue velocity field and NOx concentration field are more evenly distributed,and the relative standard deviation of NOxconcentration at the denitrification outlet is only 3.19%,which is conducive to reducing the amount of ammonia used.The average unit consumption of liquid ammonia is reduced by 15.94%.Denitration optimization equipment resistance increases by 95 Pa.The result of the transformation is good,and it provides a reference research and application case for the depth optimization of boiler denitration under the background of ultra-low emission.

关键词

超低排放/数值模拟/脱硝深度优化/选择性催化还原

Key words

Ultra-low emission/Numerical simulation/Optimization of denitration depth/Selective catalytic reduction

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出版年

2024
黑龙江科学
黑龙江省科学院

黑龙江科学

影响因子:1.014
ISSN:1674-8646
参考文献量10
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