Influence factors analysis and optimization design for flue gas waste heat recovery system in coal-fired units

NING Yuqin; SUN Shaopeng; TIAN Xin; JIANG Wen; WANG Guangpei; HU Qing; WANG Xiaoxia

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Influence factors analysis and optimization design for flue gas waste heat recovery system in coal-fired units

Thermal Power Generation Vol. 44, Issue 9, Pages: 76-80(2015)

更新时间：2025-09-28

- Influence factors analysis and optimization design for flue gas waste heat recovery system in coal-fired units
- 作者机构：
  
  1. 华电电力科学研究院
  2. 杭州华电能源工程有限公司
- 作者简介：
- 基金信息：
- DOI：
  CLC： TK115;TM621
- Published：2015
- 稿件说明：
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NING Yuqin, SUN Shaopeng, TIAN Xin, et al. Influence factors analysis and optimization design for flue gas waste heat recovery system in coal-fired units[J]. Thermal Power Generation, 2015, 44(9): 76-80.
DOI：

NING Yuqin, SUN Shaopeng, TIAN Xin, et al. Influence factors analysis and optimization design for flue gas waste heat recovery system in coal-fired units[J]. Thermal Power Generation, 2015, 44(9): 76-80. DOI：

摘要

针对国内燃煤机组排烟温度普遍偏高问题

提出采用烟气余热回收技术对系统进行改造。通过引入"相对效益"的概念

建立"相对效益"热力计算模型

并以"相对效益"和经济效益作为综合指标

分析了烟气参数、凝结水参数、换热器结构参数对烟气余热回收系统整体水平的影响规律。在保证机组安全运行的前提下

应结合系统防腐、防磨、防积灰特性

通过调整上述参数对烟气余热回收系统进行优化。对某600MW机组的实际计算结果表明

系统优化后比优化前的设备质量减少了3.9%

相对效益提高了4.4%。

Abstract

Generally

the exhaust gas temperature in domestic coal-fired units is relatively high.Aiming at solving this problem

the flue gas waste heat recovery technology was proposed to carry out technical transformation for the unit.By introducing the concept of "relative efficiency"

the "relative efficiency" thermodynamic calculation model was established.Moreover

considering the " relative efficiency" and economic benefits as a comprehensive index

the influence of such key factors as flue gas parameters

condensate parameters and heat exchanger's structural parameters on overall performance of the flue gas waste heat recovery system was investigated.On the premise of ensuring the unit safety operation

the corrosion resistance

performances of the system like the wear resistance and ash deposition resistance should be considered to optimize the system by regulating the parameters mentioned above.Taking a 600 MW unit as the example

the calculation results show that

after the optimization

the equipment mass of the system decreased by 3.9%

the relative efficiency increased by 4.4%.

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