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电站锅炉NOx排放与效率的响应特性模型
引用本文:王培红,李磊磊,陈强,董益华.电站锅炉NOx排放与效率的响应特性模型[J].动力工程,2004,24(2):254-259.
作者姓名:王培红  李磊磊  陈强  董益华
作者单位:东南大学,动力系,南京,210096
基金项目:江苏省自然科学基金(BK2001005),东南大学预研基金(XJ030306)
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。图1表6参5

关 键 词:动力机械工程  锅炉  燃烧特性  NOx排放  神经网络
文章编号:1000-6761(2004)02-0254-06

Response Characteristics Model of NOx Emission and Efficiency for Power Station Boiler
WANG Pei-hong,LI Lei-lei,CHEN Qiang,DONG Yi-hua.Response Characteristics Model of NOx Emission and Efficiency for Power Station Boiler[J].Power Engineering,2004,24(2):254-259.
Authors:WANG Pei-hong  LI Lei-lei  CHEN Qiang  DONG Yi-hua
Abstract: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.
Keywords:power and mechanical engineering  boiler  combustion characteristics  NOx emission  neural network
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