基于LSSVM-MODE的锅炉效率与NO<sub>x</sub>排放优化研究

刘定平; 蔡泓铭; 叶向荣

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基于LSSVM-MODE的锅炉效率与NO_x排放优化研究

热能基础研究 | 更新时间：2025-09-28

- 基于LSSVM-MODE的锅炉效率与NO_x排放优化研究
- STUDY ON OPTIMIZATION OF BOILER EFFICIENCY AND NO_x EMISSSON BASED ON LSSVM-MODE
- 热力发电 2010年39卷第7期页码：23-26
- 作者机构：
  
  华南理工大学电力学院
- 作者简介：
- 基金信息：
- DOI：
  中图分类号： TK229.6
- 纸质出版：2010
- 稿件说明：
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刘定平, 蔡泓铭, 叶向荣. 基于LSSVM-MODE的锅炉效率与NO_x排放优化研究[J]. 热力发电, 2010,39(7):23-26.

LIU Dingping, CAI Hongming, YE Xiangrong College of Electric Power. STUDY ON OPTIMIZATION OF BOILER EFFICIENCY AND NO_x EMISSSON BASED ON LSSVM-MODE[J]. Thermal power generation, 2010, 39(7): 23-26.
刘定平, 蔡泓铭, 叶向荣. 基于LSSVM-MODE的锅炉效率与NO_x排放优化研究[J]. 热力发电, 2010,39(7):23-26. DOI：

LIU Dingping, CAI Hongming, YE Xiangrong College of Electric Power. STUDY ON OPTIMIZATION OF BOILER EFFICIENCY AND NO_x EMISSSON BASED ON LSSVM-MODE[J]. Thermal power generation, 2010, 39(7): 23-26. DOI：

摘要

超临界机组锅炉效率与NOx排放之间存在着互相制约的关系。通过建立最小二乘支持向量机(LSSVM)模型对某超临界600 MW机组锅炉运行数据进行训练

并通过多目标微分进化算法(MODE)对锅炉效率及NOx排放进行寻优

得到了全局优化后参数调整策略。优化结果表明

此模型能很好地兼顾降低NOx排放量和提高锅炉效率的目的

为超临界火力发电机组高效低污染运行调整提供指导。

Abstract

There are mutual restrictions between boiler efficiency and NOx emission for supercritical boilers.Through establishment of least square support vector machine(LSSVM) model to train the operation data of boilers for supercritial 600 MW unit

and through the method of multi-objective differential evolution(MODE) algorithm

the boiler efficiency and NOx emission have been optimized

and the adjustment strategy after overall optimization being obtained.Results of optimization show that the said model can take both boiler efficiency and NOx emission into consideration

providing guidance for highly effective and low NOx emission in operation adjustment of supercritical thermal power units.

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基于LSSVM-MODE的锅炉效率与NOx排放优化研究

STUDY ON OPTIMIZATION OF BOILER EFFICIENCY AND NOx EMISSSON BASED ON LSSVM-MODE

DOI：

摘要

Abstract

关键词

Keywords

references

基于LSSVM-MODE的锅炉效率与NO_x排放优化研究

STUDY ON OPTIMIZATION OF BOILER EFFICIENCY AND NO_x EMISSSON BASED ON LSSVM-MODE