摘要
随着环保要求的不断提高,循环流化床的污泥焚烧以其较高的燃烧效率和较低的NOx排放而日益受到关注。文中在循环流化床污泥焚烧试验研究的基础上,建立了基于径向基网络的NOx排放特性预测神经网络模型,并对此模型进行校验。结果表明,在不同污泥成分和运行参数下,径向基网络较反向传播网络能更好地预测污泥焚烧排放特性。
With the ever strict regulation on environmental protection,more attention has been paid to the CFB sludge incineration because of its high combustion efficiency and low NOx emission.In this paper,one Radial Basis Function(RBF) neural network model is developed based on the experimental data of a CFB sludge incinerator.The prediction results show that under various conditions(such as sludge components,operating parameters,etc),RBF model can predict the emission characteristics more effectively than BP model,and it can provide a reasonable data base for the control of NOx emission during CFB sludge incineration process.
出处
《能源研究与利用》
2006年第3期10-13,共4页
Energy Research & Utilization
基金
江苏省科技厅和江苏省建设厅资助项目"城市污泥流化床焚烧及能量回收技术研究"
项目编号No.BS2001029和No.JS200106
