Online soft measurement of NO<sub>x</sub> mass concentration for circulating fluidized bed boiler based on BP neural network

BAI Jianyun; ZHU Zhujun; ZHANG Peihua

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Online soft measurement of NO_x mass concentration for circulating fluidized bed boiler based on BP neural network

Thermal Power Generation Vol. 45, Issue 12, Pages: 78-83(2016)

更新时间：2025-09-28

- Online soft measurement of NO_x mass concentration for circulating fluidized bed boiler based on BP neural network
- 作者机构：
  
  1. 山西大学自动化系
  2. 山西平朔煤矸石发电有限公司
- 作者简介：
- 基金信息：
- DOI：
  CLC： X773;TM621
- Published：2016
- 稿件说明：
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BAI Jianyun, ZHU Zhujun, ZHANG Peihua. Online soft measurement of NO_x mass concentration for circulating fluidized bed boiler based on BP neural network[J]. Thermal Power Generation, 2016, 45(12): 78-83.
DOI：

BAI Jianyun, ZHU Zhujun, ZHANG Peihua. Online soft measurement of NO_x mass concentration for circulating fluidized bed boiler based on BP neural network[J]. Thermal Power Generation, 2016, 45(12): 78-83. DOI：

摘要

采用选择性非催化还原(SNCR)技术的循环流化床(CFB)锅炉产生的NO_x质量浓度无法直接在线测量

阻碍了NO_x排放的自动控制及经济运行。对此

本文以某300MW CFB锅炉为例

采用软测量技术

分析影响烟气中生成NO_x的主要因素为机组负荷和氧体积分数

对这2个因素分别采集现场数据

建立BP神经网络模型

并将该模型应用于新华DCS系统

实现了锅炉生成NO_x质量浓度的在线预测。预测结果表明

软测量所得NO_x质量浓度比传感器实测数据提前120s

有利于改善烟气脱硝控制系统的调节效果。

Abstract

In circulating fluidized bed(CFB)boilers using selective non catalytic reduction technology

the produced NO_x mass concentration can not be directly measured online

which prevents automatic control of the NO_xemission and the unit economic operation.Taking a 300 MW CFB boiler using soft measurement technology as the example

the main factors influencing the NO_x mass concentration are unit load and oxygen volume fraction

field data of each factor were collected respectively

and was BP neural network model built.Applying the model to the Xinhua DCS system

thus the on-line boiler NO_x mass concentration was realized

and by which the NO_x mass concentration was obtained 120 searlier than by sensor measure.So the control effect of flue gas desulfurization system is improved.

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Publicity Resources

ANTI-WEAR TECHNOLOGY FOR CFB BOILERS

DESIGN RESEARCH AND PROJECT DEMONSTRATION OF THE FIRT HOME-MADE 210 MW CFB BOILER

PROBLEMS EXISTING IN AIR-WATER COMBINED SLAG COOLER FOR CFB BOILERS AND HANDLING MEASURES THEREOFF

PREDICTION OF NO_x EMISSION BASED ON PRINCIPAL COMPONENTS AND BAYESIAN REGULARIZATION

COMMON PROBLEMS APPEARED IN SNCR DENITRIFICATION SYSTEM OF COAL-FIRED BOILERS AND COUNTERMEASURES THEREOF

Related Author

QIAN Yu1

ZHANG Min2

LI Li-quan31.Branch Company No.2 under Henan Nanfu Electric Power Co Ltd

SUN Xian-bin

JIANG Min-hua

YU Long

LI Guang-hua

JIANG Yuan-jian

Related Institution

Henan Zhongfu Electric Power Co., Ltd

Xi'an Thermal Power Research Institute Co., Ltd

Henan Thermal Power Construction First Company

harbin boiler company limited

China Power Investment Corporation

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Online soft measurement of NOx mass concentration for circulating fluidized bed boiler based on BP neural network

DOI：

摘要

Abstract

关键词

Keywords

references

Online soft measurement of NO_x mass concentration for circulating fluidized bed boiler based on BP neural network