Integrated modeling of bed temperature for a circulating fluidized bed incinerator

YOU Haihui; MA Zengyi; TANG Yijun; WANG Yuelan; ZHENG Lin; YU Zhong; JI Chengjun

English

您当前的位置：

首页 >

文章列表页 >

Integrated modeling of bed temperature for a circulating fluidized bed incinerator

Thermal Power Generation Issue 1, (2017)

更新时间：2025-09-28

- Integrated modeling of bed temperature for a circulating fluidized bed incinerator
- 作者机构：
  
  1. 浙江大学能源清洁利用国家重点实验室,浙江,杭州,310027
  2. 杭州萧山锦江绿色能源有限公司,浙江,杭州,311203
- 作者简介：
- 基金信息：
- DOI：
  CLC： TK229.91;TP391.4
- Published Online：24 January 2017，
  
  Published：2017
- 稿件说明：
移动端阅览
YOU Haihui, MA Zengyi, TANG Yijun, et al. Integrated modeling of bed temperature for a circulating fluidized bed incinerator[J]. Thermal Power Generation, 2017, (1).
DOI：

YOU Haihui, MA Zengyi, TANG Yijun, et al. Integrated modeling of bed temperature for a circulating fluidized bed incinerator[J]. Thermal Power Generation, 2017, (1). DOI：

摘要

床温对循环流化床(CFB)锅炉的安全、环保、经济运行具有重要影响。本文利用自适应神经模糊推理系统(adaptive neuro-fuzzy inference system

ANFIS)的非线性动力学特性、自学习能力和泛化能力

对某台650 t/d CFB生活垃圾焚烧锅炉设计了床温预测模型；根据该锅炉的工艺特点

选择模型的输入变量

然后利用减法聚类算法对历史过程数据进行分析

自适应地确定初始模糊规则和模糊神经网络的初始结构参数；再结合最小二乘估计法和误差反向传播算法对模糊神经网络的参数进行学习

构建自适应神经模糊推理系统

完成CFB生活垃圾焚烧锅炉床温智能建模。与多元线性回归模型、BP神经网络模型以及支持向量机模型的床温预测结果对比表明

本文建立的模型预测精度更高

对锅炉的运行和控制具有指导作用。

Abstract

关键词

Keywords

references

Views

358

下载量

CSCD

Alert me when the article has been cited

提交

Publicity Resources

Modelling for unburned carbon content in fly ash from coal-fired boilers based on adaptive neuro-fuzzy inference system

niformity improvement for bed temperature of a 300 MW unit CFB boiler

Influence factors of carbon content in fly ash in circulating fluidized bed boiler

Historical control information based study on fuzzy control of CFB boiler bed temperature

Modeling of bed temperature and pressure for circulating fluidized bed boilers

Related Author

CHI Yong

YAN Jianhua

尤海辉

唐义军

沈跃良

倪明江

池涌

严建华

Related Institution

Electric Power Research Institute of Guangdong Power Grid Corporation，Ltd.

Huaneng Clean Energy Research Institute Co.,Ltd.

Shanxi International Energy Group Limited Company

Xinjiang Midong Thermal Power Plant,Shenhua Shendong Power Co.,Ltd.

School of Electrical and Power Engineering, Taiyuan University of Technology

AI问答

⁰