STUDY ON THE GENETIC PROGRAMMING METHOD FOR PREDICTING EFFICIENCY OF SIMUTANEOUS FLUE GAS DESULPHURIZATION AND DENITRIFICATION BY USING TiO<sub>2</sub> PHOTO-CATALYSIS

ZHAO Yi1; JIN Xiao-jie1; ZHAO Li1; LI Na2 1.College of Environmental Science and Engineering

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STUDY ON THE GENETIC PROGRAMMING METHOD FOR PREDICTING EFFICIENCY OF SIMUTANEOUS FLUE GAS DESULPHURIZATION AND DENITRIFICATION BY USING TiO₂ PHOTO-CATALYSIS

Thermal Power Generation Vol. 38, Issue 10, Pages: 15-19(2009)

更新时间：2025-09-28

- STUDY ON THE GENETIC PROGRAMMING METHOD FOR PREDICTING EFFICIENCY OF SIMUTANEOUS FLUE GAS DESULPHURIZATION AND DENITRIFICATION BY USING TiO₂ PHOTO-CATALYSIS
- 作者机构：
  
  1. 华北电力大学环境科学与工程学院
  2. 内蒙古科技大学能源与科技学院
- 作者简介：
- 基金信息：
- DOI：
  CLC： X701.3
- Published：2009
- 稿件说明：
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ZHAO Yi1, JIN Xiao-jie1, ZHAO Li1, et al. STUDY ON THE GENETIC PROGRAMMING METHOD FOR PREDICTING EFFICIENCY OF SIMUTANEOUS FLUE GAS DESULPHURIZATION AND DENITRIFICATION BY USING TiO₂ PHOTO-CATALYSIS[J]. Thermal Power Generation, 2009, 38(10): 15-19.
DOI：

ZHAO Yi1, JIN Xiao-jie1, ZHAO Li1, et al. STUDY ON THE GENETIC PROGRAMMING METHOD FOR PREDICTING EFFICIENCY OF SIMUTANEOUS FLUE GAS DESULPHURIZATION AND DENITRIFICATION BY USING TiO₂ PHOTO-CATALYSIS[J]. Thermal Power Generation, 2009, 38(10): 15-19. DOI：

摘要

影响TiO2光催化烟气同时脱硫脱硝效率的因素包括温度、催化剂、含湿量、氧浓度、光、SO2和NOx浓度等

它们呈复杂的非线性关系。在紫外光下

利用催化剂及混合烟气中氧气浓度为8%的条件下

以TiO2光催化烟气同时脱硫脱硝的试验数据为样本

采用遗传程序设计(GP)方法自动找出脱硫脱硝效率随各主要影响因素变化的规律

并通过检验样本数据对模型进行了预测。结果表明

该方法避免了事先确定变量之间函数关系的主观性

预测数据的准确度较高。

Abstract

The factors affecting efficiency of simutaneous flue gas desulphurization and denitrification by using TiO2 photo-catalysis

including temperature

catalyst

humidity

oxygen concentration etc.

have complex and non-linear relations among them.Under condition of ultraviolet ray and oxygen concentration in the catalyst and flue gas mixture being 8%

taking the data of simutaneous flue gas desulphurization and denitrification as the sample

and using the genetic programming method

the variation regularity of desulphurization and denitrification efficiency along with the main affecting factors has been automatically found out

and the model being predicted through inspection of the sample data.Results show that the said method can avoid the subjectiveness in functional relationship among the variables determined in advance

having higher precesion of the predicted data.

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STUDY ON THE GENETIC PROGRAMMING METHOD FOR PREDICTING EFFICIENCY OF SIMUTANEOUS FLUE GAS DESULPHURIZATION AND DENITRIFICATION BY USING TiO2 PHOTO-CATALYSIS

DOI：

摘要

Abstract

关键词

Keywords

references

STUDY ON THE GENETIC PROGRAMMING METHOD FOR PREDICTING EFFICIENCY OF SIMUTANEOUS FLUE GAS DESULPHURIZATION AND DENITRIFICATION BY USING TiO₂ PHOTO-CATALYSIS