摘要
基于循环流化床(CFB)锅炉热平衡,并结合物料平衡关系,提出了一种"四平衡双循环"迭代计算方法,该方法在计算出循环倍率的同时,也可以求出分离器、炉膛和密相区燃烧份额以及密相区过量空气系数等重要参数.根据某300 MW CFB锅炉现场运行数据建立模型进行计算,并分析了煤质和一次风、二次风配比对循环倍率的影响.结果表明:该计算模型能够准确计算出相关参数,且能合理反映以上因素对CFB锅炉循环倍率的影响,为循环倍率的控制与优化提供了一定的参考.
To obtain the optimal initial pressure of a steam turbine under variable working conditions,a heat rate prediction model was established using operating data of the turbine by improved krill herd algorithm(A-KH)and fast learning network(FLN),with which the optimal initial steam pressure corresponding to the lowest heat rate was searched in the range of premitted pressure by taking use of the global searching ability of A-KH algorithm,and the optimal initial pressure curve was subsequently compared with the design curve.Results show that via the optimal initial pressure curve,the heat rate could be lowered effectively,which may serve as a reference for safety and economic operation of steam turbines.
出处
《动力工程学报》
CAS
CSCD
北大核心
2017年第8期597-602,共6页
Journal of Chinese Society of Power Engineering
基金
国家重点研发计划资助项目(2016YFB0600205)
关键词
热平衡
循环倍率
煤质
燃烧份额
steam turbine
heat rate
optimal initial pressure
krill herd algorithm
fast learning network