Operational optimization based on hybrid modeling for dry desulfurization of slurry fluidized bed boiler

JIANG Aipeng; LIN Weiwei; DING Qiang; WANG Jian; JIANG Zhoushu; HUANG Guohui

doi:10.3969/j.issn.0438-1157.2012.09.017

您当前的位置：

首页 >

文章列表页 >

Operational optimization based on hybrid modeling for dry desulfurization of slurry fluidized bed boiler

更新时间：2025-12-10

- Operational optimization based on hybrid modeling for dry desulfurization of slurry fluidized bed boiler
- CIESC Journal Issue 9, Pages: 2783-2788(2012)
- 作者机构：
  
  杭州电子科技大学能量利用系统与自动化研究所,浙江,杭州,310018
- 作者简介：
- 基金信息：
- DOI：10.3969/j.issn.0438-1157.2012.09.017
  CLC： P202.7
- Online First：05 September 2012，
  
  Published：05 September 2012
- 稿件说明：
移动端阅览
JIANG Aipeng, LIN Weiwei, DING Qiang, et al. Operational optimization based on hybrid modeling for dry desulfurization of slurry fluidized bed boiler[J]. CIESC Journal, 2012, (9): 2783-2788.
DOI：

JIANG Aipeng, LIN Weiwei, DING Qiang, et al. Operational optimization based on hybrid modeling for dry desulfurization of slurry fluidized bed boiler[J]. CIESC Journal, 2012, (9): 2783-2788. DOI： 10.3969/j.issn.0438-1157.2012.09.017.

摘要

煤泥流化床锅炉干法脱硫系统因成本低、脱硫效率较高而应用广泛。流化床锅炉的运行条件对脱硫效率具有重要影响

而脱硫剂的增加既会提高脱硫效率又会降低锅炉热效率

因此存在最佳操作条件。首先采用LSSVM建立了SO2浓度预测模型

并通过实际数据验证了模型的准确性和快速性。在此基础上

通过机理分析

建立了脱硫剂对锅炉热效率影响的全面准确模型。最后

以企业总体运行费用最低为目标

建立了总的操作优化目标函数。以SO2预测模型和锅炉热效率模型为基础

通过求解总的优化命题

得到了不同SO2浓度限制和不同SO2排放费用下的最佳锅炉操作条件。通过优化明显地降低了脱硫运行费用

提高了脱硫效率

对流化床锅炉干法脱硫系统具有重要的指导意义。

Abstract

Dry desulphurization system of slurry fluidized bed boiler has wide range of applications for its low cost and high desulfurization efficiency.Since fluidized bed boiler operating conditions have important influence on the desulfurization efficiency

and the increased desulfurizer can improve the desulfurization efficiency while reduce the thermal efficiency of boiler

there exists optimal operating conditions.In this paper

the SO2 concentration prediction model was firstly built with LSSVM

and then the accuracy and fast performance of the model was verified.Secondly

a comprehensive and accurate model of boiler thermal efficiency affected by desulfurizer was established through mechanism analysis. Finally

according to minimizing the enterprise’s overall operating costs

a total objective function for operation optimization was built.Based on SO2 forecasting model and boiler thermal efficiency model

and by solving the overall optimization problem

the best boiler operating conditions under different SO2 concentration limits and different SO2 emission costs were obtained.Through the operation optimization

the cost of the desulfurization operation was significantly reduced

and the desulfurization efficiency can be significantly improved.What has done in this paper has important guiding significance on the optimal operation for the dry desulphurization system of fluidized bed boiler.

关键词

Keywords

references

Views

233

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

New operation optimization method with time series based on Levenshtein distance hierarchical clustering

Dynamic operational optimization of air source heat pump heating system with consideration of energy saving

Study on impact of impurities in coal chemical waste salt on solvation of NaCl and Na2SO4

Performance analysis and application of thermal and humidity control system cascade driven by waste heat

Physics-informed spatio-temporal graph convolutional network for fermentation processes

Related Author

ZHU Jian

YANG Bo

WANG Yongjian

TANG Xiaojie

LI Hongguang

DING Qiang

XING Changxin

JIANG Aipeng

Related Institution

College of Information Science & Technology, Beijing University of Chemical Technology

Energy Utilization System and Automation Institute, Hangzhou Dianzi University

⁰