三分仓回转式空气预热器积灰分段监测模型研究  

Study on Segmented Model for Fouling Monitoring of Tri-sectional Rotary Air Heaters

作　　者：岳峻峰[1] 丁建良[1] 徐力刚[2] 邹磊[1] 张恩先[1] 管诗骈[1] 黄亚继[2] 陈波[2] 

机构地区：[1]江苏方天电力技术有限公司,南京211102 [2]东南大学能源热转换及其过程测控教育部重点实验室,南京210096

出　　处：《动力工程学报》2016年第10期795-800,809,共7页Journal of Chinese Society of Power Engineering

摘　　要：针对三分仓回转式空气预热器热段和冷段积灰分段监测的需求,基于空气预热器的传热模型,定义空气预热器利用系数作为清洁因子并建立积灰分段监测模型.通过分析空气预热器实时运行参数,根据热平衡原理确定了清洁因子计算步骤.以某1 000MW超超临界直流锅炉的三分仓回转式空气预热器为例,研究了热段、冷段清洁因子在空气预热器积灰和吹灰时的变化趋势.结果表明:根据所建模型计算出的分段清洁因子变化趋势在稳定负荷下能够反映此空气预热器的分段积灰情况,而在变负荷情况下虽有一定偏离,但由于电厂变负荷工况下很少吹灰故影响较小;该积灰监测模型可作为三分仓回转式空气预热器热冷分段积灰监测的有效手段.To realize the segmented monitoring of ash fouling respectively in hot and cold section of a tri- sectional rotary air heater, a segmented model was set up based on the heat transfer model of air heater and by defining the utilization coefficient as the cleanliness factor, of which the calculation steps were deter- mined according to the heat balance principle and the real-time operating data. Taking the tri-sectional ro- tary air heater in a 1 000 MW ultra supercritical once-through boiler as an example, variation trends of cleanliness factor in both the hot and cold section were analyzed during soot formation and blowing period. Results show that the variation trends of segmented cleanliness factor calculated by the model can reflect actual fouling situation in hot and cold section during stable load operation of the air heater; however, in variable load operation, the data may have some deviations, which would hardly bring problems, since soot-blowing is rarely performed under varying load conditions. The segmented model may therefore serve as a reference for ash fouling monitoring in hot and cold section of tri-sectional rotary air heaters.

关 键 词：三分仓回转式空气预热器 积灰监测 利用系数 清洁因子 稳定负荷 变负荷 

分 类 号：TK227.3[动力工程及工程热物理—动力机械及工程]