摘要
为了节约能源,提高加热炉的热效率是一项重要的措施。维持烟道气氧含量在最优值附近,能够有效提高加热炉热效率。介绍了通过在线热效率反馈计算得到烟道气氧含量最优设定值,并且利用自校正阶梯式广义预测控制使烟道气氧含量达到最优设定值,从而实现提高加热炉热效率的目的。实践应用表明,优化效果良好。
To save energy raising heat efficiency of furnace is an important measure. Maintaining oxygen content at optimal value can raise heat efficiency of heating furnace effectively. Through feedback calculation of heat efficiency to obtain optimal oxygen content in fuel gas and to control oxygen content to reach optimal set point by selfadjust ladderly generalized predictive control can raise heat efficiency of heating furnace. Application show that the result is very good.
出处
《石油化工自动化》
CAS
2003年第2期23-27,共5页
Automation in Petro-chemical Industry
关键词
常压加热炉
在线燃烧
优化
热效率
广义预测控制
burning optimization on line
heat efficiency
atmospheric heating furnace
generalized predictive control