Development and application of efficient cooperative optimization system for low NO<sub>x</sub> emission control in coal-fired boilers

WANG Tiankun; LIANG Zhihong; ZHANG Jinying

doi:10.19666/j.rlfd.201811208

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Development and application of efficient cooperative optimization system for low NO_x emission control in coal-fired boilers

更新时间：2025-09-28

- Development and application of efficient cooperative optimization system for low NO_x emission control in coal-fired boilers
- Thermal Power Generation Vol. 48, Issue 3, Pages: 96-101(2019)
- 作者机构：
  
  国家能源投资集团有限责任公司
- 作者简介：
- 基金信息：
- DOI：10.19666/j.rlfd.201811208
  CLC： TP621.2
- Published Online：26 February 2019，
  
  Published：2019
- 稿件说明：
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WANG Tiankun, LIANG Zhihong, ZHANG Jinying. Development and application of efficient cooperative optimization system for low NO_x emission control in coal-fired boilers[J]. Thermal power generation, 2019, 48(3): 96-101.
DOI：

WANG Tiankun, LIANG Zhihong, ZHANG Jinying. Development and application of efficient cooperative optimization system for low NO_x emission control in coal-fired boilers[J]. Thermal power generation, 2019, 48(3): 96-101. DOI： 10.19666/j.rlfd.201811208.

摘要

为了达到大气污染物近零排放标准

大型燃煤发电机组NO_x排放质量浓度需低于35 mg/m3。在当前工程实践中应用最广泛的锅炉低氮燃烧(LNB)与选择性催化还原(SCR)综合脱硝技术存在协调问题

很难同时实现机组LNB与SCR脱硝的安全、环保、经济运行。为此

本文建立了燃煤锅炉LNB运行调整与SCR脱硝协同模型

采用改进的BP神经网络建立锅炉燃烧系统模型

利用改进的最小二乘支持向量机建立SCR脱硝系统模型

并进一步开展了机组高效低NO_x调节与优化分析

开发了燃煤锅炉高效低NO_x协同优化系统。在某机组的实际应用结果表明

该协同优化系统可在任何工况下实时指导运行人员调整机组运行参数

确保机组安全、环保、经济运行。

Abstract

To achieve the new near-zero emission standard of air pollutants

NO_x emission from large-scale coal-fired power plants should be lower than 35 mg/m3. In current engineering practice

the most commonly used low NO_x burner(LNB) technology and selective catalytic reduction(SCR) denitration technology are difficult to realize safe

environmental and economic operation of both the LNB and SCR denitration system simultaneously.Therefore

this paper establishes the cooperative model of the LNB operation adjustment and SCR denitrification of coal-fired boiler

builds up the boiler combustion system model using the improved BP neural network

sets up the SCR denitraion system model applying the improved least squares support vector machine

and further carries out the efficient low NO_x emission control regulation and optimization and develops the cooperative optimization system for efficient low NO_x emission control. In addition

this cooperative optimization system was successfully applied in a 600 MW unit

it can guide the operator to adjust the unit's parameters in real time under any working condition

to ensure the safety

environmental protection and economic operation of the unit.

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COMPARISON AND ANALYTICAL STUDY ON NO_x EMISSION FROM VARIOUS W-SHAPED FLAME BOILERS IN SERVICE

COMBUSTION ADJUSTMENT TEST FOR SUPERCRITICAL BOILER OF 600MW UNIT

RESEARCH ACHIEVEMENTS OF CATALYSTS FOR SCR DENITRIFICATION BY NH₃ AND HYDROCARBON

TEST STUDY ON COMBUSTION ADJUSTMENT OF BOILER FOR SUPERCRITICAL 600MW UNIT IN YANGZHOU POWER PLANT

APPLICATION OF FHAP IN QUANTITATIVE ANALYSIS OF AFFECTING FACTORS UPON NO_x EMISSION FROM COAL-FIRED BOILERS

Related Author

LIU Hong-gang

BAI Shao-lin (Xi’an Thermal Power Research Institute Co Ltd

LU Ying

WNAG Da-fengZhejiang Provincial Electric Power Testing & Research Institute

LI Yu-ran

YANG Li-zhai

YOU Chang-fu

QI Hai-ying Key Laboratory for Thermal Science and Power Engineering under Educational Ministry

Related Institution

Xi'an Thermal Power Research Institute Co., Ltd

Zhejiang Electric Power Test and Research Institute

Key Laboratory of Thermal Science and Power Engineering, Ministry of Education, Tsinghua University

Department of Power Engineering, North China Electric Power University

Power Department of Baoding Electric Power Vocational and Technical College

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Development and application of efficient cooperative optimization system for low NOx emission control in coal-fired boilers

DOI：10.19666/j.rlfd.201811208

摘要

Abstract

关键词

Keywords

references

Development and application of efficient cooperative optimization system for low NO_x emission control in coal-fired boilers