DESIGN AND APPLICATION OF INTELLIGENT SOOT BLOWING OPTIMIZATION SYSTEM BASED ON NEURAL NETWORK

ZHENG Yafeng; LU Haibin; XIE Hongjun State Nuclear Electric Power Planning Design & Research Institute

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DESIGN AND APPLICATION OF INTELLIGENT SOOT BLOWING OPTIMIZATION SYSTEM BASED ON NEURAL NETWORK

Thermal Power Generation Vol. 41, Issue 10, Pages: 38-40(2012)

更新时间：2025-09-28

- DESIGN AND APPLICATION OF INTELLIGENT SOOT BLOWING OPTIMIZATION SYSTEM BASED ON NEURAL NETWORK
- 作者机构：
  
  国核电力规划设计研究院
- 作者简介：
- 基金信息：
- DOI：
  CLC： TK223.27
- Published：2012
- 稿件说明：
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ZHENG Yafeng, LU Haibin, XIE Hongjun State Nuclear Electric Power Planning Design & Research Institute. DESIGN AND APPLICATION OF INTELLIGENT SOOT BLOWING OPTIMIZATION SYSTEM BASED ON NEURAL NETWORK[J]. Thermal Power Generation, 2012, 41(10): 38-40.
DOI：

ZHENG Yafeng, LU Haibin, XIE Hongjun State Nuclear Electric Power Planning Design & Research Institute. DESIGN AND APPLICATION OF INTELLIGENT SOOT BLOWING OPTIMIZATION SYSTEM BASED ON NEURAL NETWORK[J]. Thermal Power Generation, 2012, 41(10): 38-40. DOI：

摘要

以某330MW机组锅炉为对象

求得锅炉受热面吸热净收益最大化时的最佳吹灰频率及清洁系数

并以神经网络软件为基础

借助DCS中的实时数据监测锅炉对流受热面及热辐射受热面的积灰情况

实时比较监测清洁系数与临界清洁系数

以此进行吹灰操作。应用表明

系统可实时反映炉内灰污状态

指导受热面吹灰按需进行

减少了盲目吹灰造成的能量消耗。

Abstract

Aiming at improving the economical efficiency of boiler soot blowing system

this paper takes a 330 MW unit boiler as the object to calculate the optimum soot blowing frequency and clean coefficient when the heat-absorbent net income of the heating surface reaches the maximization.Moreover

based on the neural network software

real-time monitoring for ash depositing situation on convective heating surface and radiant heating surface was carried out through data collected from DCS

so as to compare and monitor the clean coefficient and the critical value timely

thus to take initiative to soot blowing.Application results indicate that

the system with real-time reflecting of ash deposition condition in furnace can instruct the soot blowing be taken according to the demand.Therefore

the energy consumption caused by blind soot blowing is reduced.

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