热力发电Issue(4)：112-115,4.DOI:10.3969/j.issn.1002-3364.2015.04.112
基于神经网络的N Ox 燃煤锅炉排放预测及优化
Neural network based prediction and optimization of NOx emission from coal-fired boilers
摘要
Abstract
The Matlab neural network toolbox was applied to establish the prediction model for NOx emis-sion in a coal-fired power plant boiler.The simulation results show that this forecast model has well accura-cy and generalization ability,its average relative error is 1 .3 7%,which means the high accuracy.On the ba-sis of this NOx emission prediction model,the NOx emission was optimized by genetic algorithm.According to the recommended operating parameters,after the optimization,the NOx emission decreased from 456.2 mg/m3 to 323.9 mg/m3 under the same operation load conditions,reduced by 29%,which is dramatic.关键词
燃煤锅炉/NOx排放/预测/神经网络/遗传算法Key words
coal-fired boiler/NOx emission/neural network/genetic algorithm分类
能源科技引用本文复制引用
余廷芳,李鹏辉..基于神经网络的N Ox 燃煤锅炉排放预测及优化[J].热力发电,2015,(4):112-115,4.基金项目
国家自然科学基金项目(61262048) （61262048）
