APPLICATION OF PSO IN NO<sub>x</sub> EMISSION FROM BOILER

FAN Rongrong1; YAO Cuilan2; YANG Jusheng1; ZHANG Yongfa3; XIE Kechang3 1.College of Electrical and Power Engineering

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APPLICATION OF PSO IN NO_x EMISSION FROM BOILER

Thermal Power Generation Vol. 41, Issue 8, Pages: 28-31(2012)

更新时间：2025-09-28

- APPLICATION OF PSO IN NO_x EMISSION FROM BOILER
- 作者机构：
  
  1. 太原理工大学电气与动力学院
  2. 山西电力职业技术学院
  3. 太原理工大学煤科学与技术教育部和山西省重点实验室
- 作者简介：
- 基金信息：
- DOI：
  CLC： TK227.1
- Published：2012
- 稿件说明：
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FAN Rongrong1, YAO Cuilan2, YANG Jusheng1, et al. APPLICATION OF PSO IN NO_x EMISSION FROM BOILER[J]. Thermal Power Generation, 2012, 41(8): 28-31.
DOI：

FAN Rongrong1, YAO Cuilan2, YANG Jusheng1, et al. APPLICATION OF PSO IN NO_x EMISSION FROM BOILER[J]. Thermal Power Generation, 2012, 41(8): 28-31. DOI：

摘要

以某超临界600MW机组锅炉为例

采用BP-adaboost算法建立氮氧化物预测模型

通过粒子群优化算法(PSO)优化锅炉运行参数进而在减少氮氧化物排放的同时保持较高的锅炉效率。结果表明

所建模型预测氮氧化物排放量的误差可控制在3%以内

且具有较强的泛化能力;在机组满负荷运行工况下

优化后锅炉实际燃烧效率为92.04%

NOx排放量为520.93mg/m3

相比优化前锅炉效率略有降低

但NOx排放量降低明显。

Abstract

Aimed at keeping high boiler efficiency while reducing the NOx emission

a prediction model was derived based on the BP-adaboost algorithm

taking a supercritical 600 MW unit boiler as the object.NOx and boiler efficiency were optimized by adjusting the boiler parameters with particle swarm optimization(PSO) algorithm.Results show that

the model has good generalization ability

and its error of predicted NOx emission can be controlled within 3%.Under full load operation condition

the actual combustion efficiency of the optimized boiler is 92.4%

a little lower than that before the improvement.However

the NOx emission is obviously decreased

which reaches 520.93 mg/m3.

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Related Author

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APPLICATION OF PSO IN NOx EMISSION FROM BOILER

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摘要

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APPLICATION OF PSO IN NO_x EMISSION FROM BOILER