基于深度主元分析的电站锅炉NO<sub>x</sub>质量浓度预测模型研究

王林; 王小成; 郭亦文; 姜守义; 高林; 侯玉婷; 周俊波; 姜肇雨; 刘涛; 王芸

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基于深度主元分析的电站锅炉NO_x质量浓度预测模型研究

热能科学研究 | 更新时间：2025-09-28

- 基于深度主元分析的电站锅炉NO_x质量浓度预测模型研究
- Research and application of prediction model for NO_x concentration in utility boilers based on deep component analysis
- 热力发电 2017年46卷第12期页码：68-74
- 作者机构：
  
  1. 西安热工研究院有限公司
  2. 华能国际电力股份有限公司日照电厂
  3. 华电江苏能源有限公司苟容发电厂
- 作者简介：
- 基金信息：
- DOI：
  中图分类号： TM621
- 纸质出版日期：2017
- 稿件说明：
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王林, 王小成, 郭亦文, 等. 基于深度主元分析的电站锅炉NO_x质量浓度预测模型研究[J]. 热力发电, 2017,46(12):68-74.

WANG Lin, WANG Xiaocheng, GUO Yiwen, et al. Research and application of prediction model for NO_x concentration in utility boilers based on deep component analysis[J]. Thermal power generation, 2017, 46(12): 68-74.
王林, 王小成, 郭亦文, 等. 基于深度主元分析的电站锅炉NO_x质量浓度预测模型研究[J]. 热力发电, 2017,46(12):68-74. DOI：

WANG Lin, WANG Xiaocheng, GUO Yiwen, et al. Research and application of prediction model for NO_x concentration in utility boilers based on deep component analysis[J]. Thermal power generation, 2017, 46(12): 68-74. DOI：

摘要

目前

国内电站大部分选择性催化还原(SCR)脱硝系统喷氨装置喷氨调节阀自动控制均存在一定的问题。本文通过深度主元分析

阐述了机组SCR脱硝系统入口NO_x质量浓度非线性模型的构建方法

同时利用该方法构造的模型以及模糊调节和时滞补偿控制

发展了新型的喷氨控制策略。运行控制结果表明

在动态和稳态过程中

烟囱出口NO_x质量浓度均能长时间稳定地控制在设定值附近

有效解决了SCR脱硝系统喷氨自动投入的问题。

Abstract

At present

most of the automatic control of ammonia injection valve in domestic SCR ammonia spraying system exist certain problems.To solve this problems

this paper expounded the establishment method for a non-linear predictive model for NO_x concentration at the SCR system inlet

on the basis of deep component analysis.Moreover

combined with the fuzzy control and time delay compensation method

this model was applied to develop a new control strategy for ammonia injection.The result shows that

in both steady and dynamic state of the unit

the NO_x concentration at the stack outlet can be controlled within the range close to the setting value for a long time.So the problem of automatic operation of the ammonia injection in SCR system was effectively solved

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SCR烟气脱硝系统运行全过程数据分析

基于深度主元分析的电站锅炉NOx质量浓度预测模型研究

Research and application of prediction model for NOx concentration in utility boilers based on deep component analysis

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摘要

Abstract

关键词

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references

基于深度主元分析的电站锅炉NO_x质量浓度预测模型研究

Research and application of prediction model for NO_x concentration in utility boilers based on deep component analysis