• CSCD核心库收录期刊
  • 中文核心期刊
  • 中国科技核心期刊

电力建设 ›› 2011, Vol. 32 ›› Issue (8): 18-23.

• 重点理论研究 • 上一篇    下一篇

1 000 MW机组锅炉NOx排放浓度与主要运行因数的多元线性回归

沈跃云1,高小涛2,章名耀3   

  1. 1. 江苏经贸职业技术学院
    2. 江苏省电力试验研究院有限公司
    3. 东南大学能源与环境学院
  • 收稿日期:2011-03-22 修回日期:2011-04-29 出版日期:2011-08-01 发布日期:2012-02-23
  • 通讯作者: 沈跃云 E-mail:xjzxsyy@163.com

Empirical Correlations by Multiple Linear Regression between NOx Emission Concentration and Main Operation Factors in 1 000 MW Utility Boilers

  • Received:2011-03-22 Revised:2011-04-29 Online:2011-08-01 Published:2012-02-23
  • Contact: Yue-Yun SHENG E-mail:xjzxsyy@163.com

摘要:

以某电厂1 000 MW超超临界双切圆燃烧锅炉为研究对象,采用现场燃烧调整试验方法,进行了氧量、负荷、燃尽风量、主燃烧区燃烧器风量和配风方式、磨煤机运行组合方式、燃烧器摆角、煤质等因素对锅炉NOx排放影响的试验研究。试验研究结果表明:对于具有先进低NOx燃烧系统的锅炉,煤质因素是NOx排放浓度的主要影响因素之一;运行氧量变化是NOx排放浓度的重要影响因素,随着氧量增加,锅炉NOx排放浓度呈线性增加;负荷也是NOx排放浓度的主要影响因素,其影响的程度取决于负荷和相应的运行氧量水平;而在保持大量燃尽风实现空气分级燃烧的条件下,主燃烧区燃烧器风量和配风方式对NOx排放浓度的影响是微弱的。在此基础上,应用多元线性回归方法,建立了该1 000 MW锅炉NOx排放浓度与主要运行因素的回归经验关系式,该经验关系式可用于该锅炉NOx排放浓度的在线运行控制和预测。

关键词: 超超临界锅炉, 低NOx燃烧, NOx排放, 运行因素, 多元线性回归

Abstract:

The NOx emissions of the double tangential firing boiler in 1 000 MW ultra-supercritical unit are systematically investigated based on on-site combustion tuning tests, on which the effects of excess oxygen level, boiler load, quantities of over-fired airs, burner air amount and distribution of the main combustion zone, mill groups in service, burner tilting angle, and coal property are studied. For the boiler equipped with advanced low-NOx combustion system, it is shown from the tests that the coal property, excess oxygen level and boiler load are important factors affecting NOx emission. The NOx emission increases linearly with increasing oxygen level. However, the burner air amount and distribution of the main combustion zone have weak influences on NOx emission concentration when multi-level combustion is achieved by keeping large quantity of over-fired airs. Based on this, the empirical correlations between NOx emission concentration and main operation factors are established by multiple linear regression, which can be applied to predict the boiler NOx emissions and guide NOx combustion control during operation.