ZHANG Li-yan1, MAI Yong-qiang2, ZHANG Yue-hui3, et al. PREDICTION MODEL FOR POLLUTANTS SO2 AND NOx FROM LARGE-SCALE COAL-FIRED POWER PLANT BASED ON NEURAL NETWORK[J]. Thermal power generation, 2008, (10): 9-13.
ZHANG Li-yan1, MAI Yong-qiang2, ZHANG Yue-hui3, et al. PREDICTION MODEL FOR POLLUTANTS SO2 AND NOx FROM LARGE-SCALE COAL-FIRED POWER PLANT BASED ON NEURAL NETWORK[J]. Thermal power generation, 2008, (10): 9-13. DOI: 10.19666/j.rlfd.2008.10.003.
基于神经网络的大型燃煤电厂SO2和NOx的污染物预测模型
摘要
针对现有接触式监测系统所存在的堵塞、磨损、维护费用高等缺点
应用人工神经网络的非线性动力学特性和自我学习推导能力
建立了大型电站锅炉污染物(NOx、SO2)排放的神经网络预测模型。现场试验结果表明
该模型有较好的预测效果
NOx和SO2的平均相对误差分别为4.8813%和6.1365%。
Abstract
Directing against defects existing in current contact type monitoring system
such as clogging
wornout
and high maintenance expense etc.
a prediction model for pollutants(SO2 and NOx)emitted from large-scale coal-fired power plants based on neural network has been established by using the non-linear property
as well as self-training and deducing capability of neural network.Results of test and analysis in the field show that the said model has better predicting effectiveness
the average relative error of NOx and SO2 being 4.0813% and 6.1365% respectively.