基于多场数据及控制耦合的燃煤电厂脱硝优化技术与应用

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中图分类号：X773 文献标志码：A 文章编号：2095-2945（2025）28-0172-05

Abstract：Inviewoftheproblemsoflowcontrolqualitylargefluctuationsinoutletnitrogenoxides（NO），andhigh ammoniaslipinselectivecatalyticreduction（SCR）denitrificationsystemsincoal-firedpowerplants，thispaperproposesa denitrificationoptimizationtechnologybasedonmulti-fielddataandcontrolcoupling.Thistechnologycombinestotalcontroland zoningequalizationcontrol，achievesacuratezoning measurementofNOxthroughdilutionsamplingandchemiluminescence analysis，andoptimizesammoniainjectioncontrolstrategies.Thetotalamountcontroladoptsmultiplefeed-forwardmodelsand cascade PID algorithms to improve immunity to disturbances such as inlet NO changes and load fluctuations; the zoning balanced controldynamicalladjuststheammoniainjectionvolumeineachzoningbyading16zoningammoniainjectioncontrolvalves andsynchronousmeasurementsystemstoreducethespatialdistributiondeviationofNOxattheSCRoutlet.Practicalaplication shows that after optimization，the fluctuation range ofoutlet NO τx isreduced from ±15mg/Nm3 to ±5mg/Nm3 ，ammonia consumption is reduced by 15% ，catalyst life isextended，and safetyand economy are significantly improved.

Keywords： coal-fired power plant; denitrification; automaticcontrol; multi-field data; optimization technology

燃煤发电机组烟气脱硝系统选择性催化还原（SelectiveCatalyticReduction，SCR）技术作为我国火电行业氮氧化物治理的核心工艺，其控制品质直接影响着机组环保指标达标和运行经济性。（剩余6080字）