摘要
由于锅炉设备结构庞大,运行条件复杂,燃料性质多变差等因素,建立电站锅炉排放特性的函数模型难度极大,为满足锅炉高效低污染燃烧优化研究的需要,借助优化燃烧特性试验数据,建立了神经网络型与函数型的混合模型。算例表明:该模型能正确地描述电站锅炉NOx排放与效率的响应特性。
In order to obtain high efficiency and low emission combustion, we need NOx emission and efficiency response characteristics model of coal-fired boiler. Building this model is very difficult, because of huge boiler architecture, complicated operating conditions, varied coal and so on. Based on optimized combustion experiment data, we here develop a new approach to combine neural network with function-type model, the approach results in a mixed model. The calculating samples in the paper show that the proposed mixed model describes NOx emission and efficiency response characteristics of coal-fired boiler well.Fig 1, tables 6 and refs 5.
出处
《动力工程》
CSCD
北大核心
2004年第2期254-259,共6页
Power Engineering
基金
江苏省自然科学基金(BK2001005)
东南大学预研基金(XJ030306)
关键词
动力机械工程
锅炉
燃烧特性
NOX排放
神经网络
power and mechanical engineering
boiler
combustion characteristics
NOx emission
neural network
