Pollutants reduction characteristics of brown coal-fired units during water recovery from flue gas

WANG Yikun; WU Liping; XIE Bing; WANG Zhichao; CHENG Ruishen; LIU Tingxing

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Pollutants reduction characteristics of brown coal-fired units during water recovery from flue gas

Thermal Power Generation Vol. 46, Issue 12, Pages: 93-98(2017)

更新时间：2025-09-28

- Pollutants reduction characteristics of brown coal-fired units during water recovery from flue gas
- 作者机构：
  
  1. 西安热工研究院有限公司
  2. 北方联合电力有限公司上都电厂
- 作者简介：
- 基金信息：
- DOI：
  CLC： TM621
- Published：2017
- 稿件说明：
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WANG Yikun, WU Liping, XIE Bing, et al. Pollutants reduction characteristics of brown coal-fired units during water recovery from flue gas[J]. Thermal Power Generation, 2017, 46(12): 93-98.
DOI：

WANG Yikun, WU Liping, XIE Bing, et al. Pollutants reduction characteristics of brown coal-fired units during water recovery from flue gas[J]. Thermal Power Generation, 2017, 46(12): 93-98. DOI：

摘要

为研究褐煤机组烟气冷凝取水对各种污染物的减排效果

在某600 MW褐煤机组搭建了烟气冷凝取水试验系统。结果表明:随着冷却水入口温度的升高

烟气冷凝取水对SO_2的脱除效率从9.8%逐渐降至6.8%;随着换热器入口烟气中NH_4~+体积分数的增加

烟气冷凝取水对NH_4~+的脱除率逐渐上升

试验条件下NH_4~+脱除效率为19.7%~43.1%;颗粒物PM_(2.5)和PM_(10)的脱除效率随换热器入口冷却水温度的增加先升高后降低

而对PM_1的脱除效率则与之相反

试验条件下颗粒物PM_(2.5)的脱除效率在50%以内

尚有优化空间。

Abstract

In order to investigate the pollutants reduction characteristics of the brown coal-fired power plants during water recovery from flue gas

a flue gas condensation experimental system was built up in a 600 MW lignite power plant.The experimental results show that

as the inlet temperature of cooling water increased

the removal efficiency of SO_2 decreased from 9.8% to 6.8%.When the volume fracture of NH_3 in flue gas at the heater inlet increased

the removal efficiency of NH_4~+ gradually rose

which was between 19.7% and 43.1% under the test conditions.With the increasing feed water temperature

the removal efficiency of PM_(2.5) and PM_(10) increased at first and then decreased.In contrary

the removal efficiency of PM_1 exhibited a reverse trendency.The removal efficiency of PM_(2.5) was below 50% under present experimental condition

but it could be further improved by optimizing the heat exchanger and demister.

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PREDICTION MODEL FOR POLLUTANTS SO₂ AND NO_x FROM LARGE-SCALE COAL-FIRED POWER PLANT BASED ON NEURAL NETWORK

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