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作 者:朱予东[1] 徐雷[1] 张树坡[1] 严帆帆[1] 刘志强[1]
机构地区:[1]华北电力大学能源与动力工程学院,河北保定071003
出 处:《华北电力大学学报(自然科学版)》2009年第3期81-86,共6页Journal of North China Electric Power University:Natural Science Edition
摘 要:从不可逆热力学出发,分析电站锅炉运行中对流受热面的不可逆能量损失,建立传热熵产、流阻熵产以及吹灰过程中产生的传质熵产、吹灰蒸汽散热熵产和吹灰器电机熵产的计算模型,并在此基础上建立相应的总熵产和熵产数模型。以某电厂600MW锅炉的对流受热面为实例计算对象,采用现场实时数据进行了吹灰前后各对流受热面的污染率、各项熵产以及熵产数的计算。在分析吹灰对锅炉对流受热面的污染率和熵产数变化规律的基础上,提出了基于熵产理论的吹灰效果判定原则,对改进现有的单一根据污染率在线监测的吹灰优化模型有重要的参考价值和工程实际意义。From the irreversible thermodynamics, irreversible energy loss of convective heating surfaces was analyzed. By establishing the model of entropy production in the processes of heat transfer, fluid flow, mass transfer during the mixing of flue gas and sootblowing steam, sootblowing steam' s emitting quantity of heat, and sootblower motor' s working, a theoretical model of total entropy production and entropy production number has been established. Taking the convective heating surfaces of a certain 600 MW power unit' s boiler as the object of consideration, based on the collection of on- line date, fouling rate , entropy production and the entropy production number of convective heating surfaces has been calculated before and after scotblowing for one power plant. Base on the analyzing of the influence of sootblowing for fouling rate and entropy production, it is come up with a new sootblowing effect verdict principle which based on entropy production theory. It has both significant reference value and engineering practice sense for sootblowing optimization model only basing on monitoring the fouling rate for power plant.
分 类 号:TK123[动力工程及工程热物理—工程热物理]
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