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

WANG Lin; WANG Xiaocheng; GUO Yiwen; JIANG Shouyi; GAO Lin; HOU Yuting; ZHOU Junbo; JIANG Zhaoyu; LIU Tao; WANG Yun

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

Thermal Power Generation Issue 11, (2017)

更新时间：2025-09-28

- Research and application of prediction model for NOx concentration in utility boilers based on deep component analysis
- 作者机构：
  
  1. 西安热工研究院有限公司,陕西,西安,710054
  2. 华能国际电力股份有限公司日照电厂,山东,日照,276826
  3. 华电江苏能源有限公司苟容发电厂，江苏苟容,210029
- 作者简介：
- 基金信息：
- DOI：
  CLC： TP272
- Published Online：27 November 2017，
  
  Published：2017
- 稿件说明：
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WANG Lin, WANG Xiaocheng, GUO Yiwen, et al. Research and application of prediction model for NOx concentration in utility boilers based on deep component analysis[J]. Thermal Power Generation, 2017, (11).
DOI：

WANG Lin, WANG Xiaocheng, GUO Yiwen, et al. Research and application of prediction model for NOx concentration in utility boilers based on deep component analysis[J]. Thermal Power Generation, 2017, (11). 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NOx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NOx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。

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