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某330 MW机组烟气脱硝系统超低排放性能诊断与分析

苗永旗 刘海秋 周凯 庄柯 吴碧君 金定强

中国电力2018,Vol.51Issue(4):124-129,6.
中国电力2018,Vol.51Issue(4):124-129,6.DOI:10.11930/j.issn.1004-9649.201707184

某330 MW机组烟气脱硝系统超低排放性能诊断与分析

Diagnosis and Analysis on Ultra-low Emission Performance of Flue Gas Denitrification System for a 330 MW unit

苗永旗 1刘海秋 1周凯 1庄柯 1吴碧君 1金定强1

作者信息

  • 1. 国电环境保护研究院,国家环境保护大气物理模拟与污染控制重点实验室,江苏 南京 210031
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摘要

Abstract

The anticipated target of NOxemission control have not been reached in some power plants after the ultra-low emission retrofit project. To solve this problem, taking a 330 MW ultra-low emission unit as an example, onsite investigation was conducted and the operation data of a 15 500 h flue gas denitrification unit was collected. The operating catalyst was also sampled and tested. Besides, the causes of excessive NOxemission were investigated individually. The research results show that the decline of denitrification efficiency is attributed to low design margin of SCR denitrification, low content of main active component V2O5as well as the decrease of catalyst micropore number and active point number. In addition, the high NOxconcentration at the inlet of the reactor, the frequent load changes, and untimely ammonia spray response cause the NOxemission at the outlet to exceed 50 mg/m3. In order to ensure that stable emission standards are met, it is suggested that the optimal operation of the boiler should be strengthened to avoid the large fluctuation of NOxconcentration and improve the response speed of ammonia injection. One extra layer of catalysts is also advised and the existing two layers of catalyst should be regenerated.

关键词

燃煤电厂/烟气脱硝/SCR脱硝装置/蜂窝催化剂/运行诊断

Key words

thermal power plant/flue gas denitration/SCR deNOxsystem/honeycomb catalysts/operation diagnosis

分类

资源环境

引用本文复制引用

苗永旗,刘海秋,周凯,庄柯,吴碧君,金定强..某330 MW机组烟气脱硝系统超低排放性能诊断与分析[J].中国电力,2018,51(4):124-129,6.

基金项目

国家重点研发计划"大气污染成因与控制技术研究"重点专项资助项目(No.2016YFC0208102).This work is supported by The National Key Research and Development Program(Air Pollution Causes and Control Technology Research,No.2016YFC0208102). (No.2016YFC0208102)

中国电力

OA北大核心CSCDCSTPCD

1004-9649

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