Influence rules of steam coal quality characteristics on heat transfer in furnace:based on big data analysis

FAN Zengquan; FAN Jinyuan; WANG Lin

doi:10.19666/j.rlfd.201804102

English

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Influence rules of steam coal quality characteristics on heat transfer in furnace:based on big data analysis

Thermal Power Generation Vol. 47, Issue 8, Pages: 38-43(2018)

更新时间：2025-09-28

- Influence rules of steam coal quality characteristics on heat transfer in furnace:based on big data analysis
- 作者机构：
  
  1. 国网陕西省电力公司
  2. 华能国际上海石洞口第二电厂
  3. 西安热工研究院有限公司
- 作者简介：
- 基金信息：
- DOI：10.19666/j.rlfd.201804102
  CLC： TK224
- Published Online：02 August 2018，
  
  Published：2018
- 稿件说明：
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FAN Zengquan, FAN Jinyuan, WANG Lin. Influence rules of steam coal quality characteristics on heat transfer in furnace:based on big data analysis[J]. Thermal Power Generation, 2018, 47(8): 38-43.
DOI：

FAN Zengquan, FAN Jinyuan, WANG Lin. Influence rules of steam coal quality characteristics on heat transfer in furnace:based on big data analysis[J]. Thermal Power Generation, 2018, 47(8): 38-43. DOI： 10.19666/j.rlfd.201804102.

摘要

为了建立动力煤煤质特性与炉内传热特性的影响关系的半定量方法

对国内大型电厂燃用的170个煤质分析数据进行了大量理论与数学分析。探讨了煤质特性对电站锅炉炉膛内烟气参数以及烟气参数对辐射放热量的影响关系;根据热平衡原理

通过大量数据计算和理论分析

提出了煤质低位发热量、炉膛出口烟温与烟气在炉内的放热量之间的简捷半定量关系

拟合出精度和可靠性较高、适用范围较广的三维函数关系式。该研究结果可为大型锅炉的设计运行、控制系统的优化提供一种简便可靠的函数评估手段。

Abstract

To develop a semi-quantitative method for the relationship between steam coal quality characteristics and heat transfer characteristics in furnace

much theoretical and mathematical analysis was performed on quality analysis data of 170 pieces of coal that used in large domestic power plants. This study discussed the influences of coal quality characteristics on flue gas parameters and flue gas parameters in the furnace on the radiation released heat. Based on the principle of heat balance

through a large number of data calculations and theoretical analysis

a simple semi-quantitative relationship was proposed among net calorific value of coal

flue gas temperature of the furnace outlet

and released heat of flue gas in the furnace. A 3 D functional relationship with high accuracy and reliability and wide application was fitted. These research results can provide a simple and reliable function assessment method for the design and operation of large-scale boilers and the optimization of control systems.

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