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Optimization of excess air for the improvement of environmental performance of a 150 MW boiler fired with Thai lignite

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  • Kouprianov, V. I.
  • Tanetsakunvatana, V.

Abstract

The results of an experimental study of the excess-air-dependent heat losses, as well as gaseous emissions (NOx, SO2 and CO), on a 150 MW boiler firing Thai lignite are discussed. The NOx emissions were found to increase with the higher excess air ratios; the NOx values in the flue gas (at 6% O2) ranged from 257 to 325 ppm, whilst the excess air ratio varied from 1.06 to 1.32 at the economizer outlet. Owing to the highly-efficient operation of the flue gas desulfurization units, the SO2 emissions from the unit were maintained at a relatively low level, 50-76 ppm for the above excess-air ratios, whereas they accounted for about 3100-3300 ppm at the inlet of the FGD units. The CO emissions were determined for the extremely low excess air ratios. Two approaches for the optimization of the excess air ratio were analyzed in this study. For the first, i.e. the conventional approach, the optimization was carried out based on minimizing the total excess-air-dependent heat losses. The second, the environmentally friendly approach, proposed in this work, was aimed at minimizing the "external" costs (or the costs of damage done by the boiler emissions to the environment and humans). As shown in this paper, the lignite firing at the optimal excess air results in a lower environmental impact by the boiler unit.

Suggested Citation

  • Kouprianov, V. I. & Tanetsakunvatana, V., 2003. "Optimization of excess air for the improvement of environmental performance of a 150 MW boiler fired with Thai lignite," Applied Energy, Elsevier, vol. 74(3-4), pages 445-453, March.
  • Handle: RePEc:eee:appene:v:74:y:2003:i:3-4:p:445-453
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    References listed on IDEAS

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    1. Kouprianov, V.I, 2001. "Modeling of thermal characteristics for a furnace of a 500 MW boiler fired with high-ash coal," Energy, Elsevier, vol. 26(9), pages 839-853.
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    Cited by:

    1. Shi, Yan & Zhong, Wenqi & Chen, Xi & Yu, A.B. & Li, Jie, 2019. "Combustion optimization of ultra supercritical boiler based on artificial intelligence," Energy, Elsevier, vol. 170(C), pages 804-817.
    2. Li, Zhengqi & Liu, Guangkui & Zhu, Qunyi & Chen, Zhichao & Ren, Feng, 2011. "Combustion and NOx emission characteristics of a retrofitted down-fired 660Â MWe utility boiler at different loads," Applied Energy, Elsevier, vol. 88(7), pages 2400-2406, July.
    3. Li, Zhengqi & Jing, Jianping & Liu, Guangkui & Chen, Zhichao & Liu, Chunlong, 2010. "Measurement of gas species, temperatures, char burnout, and wall heat fluxes in a 200-MWe lignite-fired boiler at different loads," Applied Energy, Elsevier, vol. 87(4), pages 1217-1230, April.
    4. Wang, Yanhong & Li, Xiaoyu & Mao, Tianqin & Hu, Pengfei & Li, Xingcan & GuanWang,, 2022. "Mechanism modeling of optimal excess air coefficient for operating in coal fired boiler," Energy, Elsevier, vol. 261(PA).
    5. Kuprianov, Vladimir I., 2005. "Applications of a cost-based method of excess air optimization for the improvement of thermal efficiency and environmental performance of steam boilers," Renewable and Sustainable Energy Reviews, Elsevier, vol. 9(5), pages 474-498, October.
    6. Kuang, Min & Li, Zhengqi & Zhang, Yan & Chen, Xiachao & Jia, Jinzhao & Zhu, Qunyi, 2012. "Asymmetric combustion characteristics and NOx emissions of a down-fired 300 MWe utility boiler at different boiler loads," Energy, Elsevier, vol. 37(1), pages 580-590.
    7. Ma, Jiao & Mu, Lan & Zhang, Zhikun & Wang, Zhuozhi & Shen, Boxiong & Zhang, Lei & Li, Aimin, 2020. "The effects of the modification of biodegradation and the interaction of bulking agents on the combustion characteristics of biodried products derived from municipal organic wastes," Energy, Elsevier, vol. 209(C).
    8. Zeng, Lingyan & Song, Minhang & Li, Xiaoguang & Liu, Yibo & Li, Zhengqi & Chen, Zhichao, 2017. "Factors affecting the downward flame depth in a 600 MW down-fired boiler incorporating multiple-injection and multiple-staging technology," Energy, Elsevier, vol. 118(C), pages 333-344.

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