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

Thermal Power Generation Issue 11, (2016)

更新时间：2025-09-28

- Online soft measurement of NOx 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,山西,太原,030013
  2. 山西平朔煤矸石发电有限公司,山西,朔州,036800
- 作者简介：
- 基金信息：
- DOI：
  CLC： TK39
- Published Online：24 November 2016，
  
  Published：2016
- 稿件说明：
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BAI Jianyun, ZHU Zhujun, ZHANG Peihua. Online soft measurement of NOx mass concentration for circulating fluidized bed boiler based on BP neural network[J]. Thermal Power Generation, 2016, (11).
DOI：

BAI Jianyun, ZHU Zhujun, ZHANG Peihua. Online soft measurement of NOx mass concentration for circulating fluidized bed boiler based on BP neural network[J]. Thermal Power Generation, 2016, (11). 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NOx质量浓度无法直接在线测量

阻碍了NOx排放的自动控制及经济运行。对此，本文以某300 MW CFB锅炉为例，采用软测量技术

分析影响烟气中生成NOx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NOx质量浓度的在线预测。预测结果表明，软测量所得NOx质量浓度比传感器实测数据提前120 s

有利于改善烟气脱硝控制系统的调节效果。

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