PREDICTION MODEL FOR POLLUTANTS SO<sub>2</sub> AND NO<sub>x</sub> FROM LARGE-SCALE COAL-FIRED POWER PLANT BASED ON NEURAL NETWORK

ZHANG Li-yan1; MAI Yong-qiang2; ZHANG Yue-hui3; HUANG Qun-xing41.Energy Engineering Design & Research Institute

doi:10.19666/j.rlfd.2008.10.003

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PREDICTION MODEL FOR POLLUTANTS SO₂ AND NO_x FROM LARGE-SCALE COAL-FIRED POWER PLANT BASED ON NEURAL NETWORK

Thermal Power Generation Issue 10, Pages: 9-13(2008)

更新时间：2025-09-28

- PREDICTION MODEL FOR POLLUTANTS SO₂ AND NO_x FROM LARGE-SCALE COAL-FIRED POWER PLANT BASED ON NEURAL NETWORK
- 作者机构：
  
  1. 浙江大学能源工程设计研究院
  2. 国电东胜热电厂
  3. 浙江物化天宝能源环保有限公司
  4. 浙江大学能源清洁利用国家重点实验室
- 作者简介：
- 基金信息：
- DOI：10.19666/j.rlfd.2008.10.003
  CLC： TM621.2
- Published：2008
- 稿件说明：
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ZHANG Li-yan1, MAI Yong-qiang2, ZHANG Yue-hui3, et al. PREDICTION MODEL FOR POLLUTANTS SO₂ AND NO_x FROM LARGE-SCALE COAL-FIRED POWER PLANT BASED ON NEURAL NETWORK[J]. Thermal Power Generation, 2008, (10): 9-13.
DOI：

ZHANG Li-yan1, MAI Yong-qiang2, ZHANG Yue-hui3, et al. PREDICTION MODEL FOR POLLUTANTS SO₂ AND NO_x 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.

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.

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PREDICTION MODEL FOR POLLUTANTS SO2 AND NOx FROM LARGE-SCALE COAL-FIRED POWER PLANT BASED ON NEURAL NETWORK

DOI：10.19666/j.rlfd.2008.10.003

摘要

Abstract

关键词

Keywords

references

PREDICTION MODEL FOR POLLUTANTS SO₂ AND NO_x FROM LARGE-SCALE COAL-FIRED POWER PLANT BASED ON NEURAL NETWORK