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建立了基于烟气成分分析的电站锅炉入炉煤质监测模型,利用较容易测量的烟气气体含量和燃煤灰分数据,结合煤中元素成分的相关性研究结果,通过软测量技术,实现了锅炉入炉煤元素成分和发热量的全面监测。现场试验表明:燃煤收到基低位发热量的实验室分析结果和模型计算值的偏差在-684～895kJ/kg之间。本文提供的入炉煤质的监测方法,容易与机组性能监测、能损诊断系统相配套,完成入炉煤元素含量、发热量以及机组运行经济指标的监测。
Based on the analysis of flue gas composition, a coal quality monitoring model for power station boiler was established. Based on the relatively easy to measure flue gas content and coal ash data, combined with the correlation results of elemental composition in coal, soft measurement technology Boiler into the coal elemental composition and calorific value of a comprehensive monitoring. The field tests showed that the deviation between the laboratory analysis results of coal-based low calorific value and the calculated values of the model was between -684 and 895 kJ / kg. This paper provides the monitoring method of coal into the furnace, easy to monitor with the unit performance, energy loss diagnosis system to complete the elemental content of coal into the furnace, heat and the unit running economic indicators monitoring.