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Prevention of boiler performance degradation under large primary air ratio scenario in a 660 MW brown coal boiler

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  • Li, Zixiang
  • Miao, Zhengqing
  • Shen, Xusheng
  • Li, Jiangtao

Abstract

To study how to prevent the boiler performance degradation under large primary air ratio (PAR) condition, a three dimensional computational fluid dynamics model was established on the basis of a 660 MW wall-fired brown coal boiler. Accuracy of simulation models was established by carrying out a mesh independence test and a comparison with real-life data. Then it was used to investigate the effects of proposed measures on boiler performance. The distribution profiles of combustion temperature, heat flux, CO mass fraction and unburnt char particles were selected to analyze the boiler performance under different cases. Results show that boiler performance deteriorates evidently when PAR is increased to 0.425, and the overall heat flux decreases by 37.0 MW. The three proposed measures can indeed improve the boiler performance that has been deteriorated when PAR is increased, and the overall heat flux was increased by 6.42 MW, 6.59 MW and 15.53 MW respectively. Among the proposed measures, the method of closing part of secondary air nozzles is recommended in regular boiler operation, due to its operability and convenience. The findings of this research and recommended measures can be used as guidelines in the actual operation in brown coal power plant.

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  • Li, Zixiang & Miao, Zhengqing & Shen, Xusheng & Li, Jiangtao, 2018. "Prevention of boiler performance degradation under large primary air ratio scenario in a 660 MW brown coal boiler," Energy, Elsevier, vol. 155(C), pages 474-483.
    • Handle: RePEc:eee:energy:v:155:y:2018:i:c:p:474-483
    DOI: 10.1016/j.energy.2018.05.008
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    1. Han, Xiaoqu & Liu, Ming & Wu, Kaili & Chen, Weixiong & Xiao, Feng & Yan, Junjie, 2016. "Exergy analysis of the flue gas pre-dried lignite-fired power system based on the boiler with open pulverizing system," Energy, Elsevier, vol. 106(C), pages 285-300.
    2. Liu, Ming & Yan, JunJie & Chong, DaoTong & Liu, JiPing & Wang, JinShi, 2013. "Thermodynamic analysis of pre-drying methods for pre-dried lignite-fired power plant," Energy, Elsevier, vol. 49(C), pages 107-118.
    3. Karampinis, E. & Nikolopoulos, N. & Nikolopoulos, A. & Grammelis, P. & Kakaras, E., 2012. "Numerical investigation Greek lignite/cardoon co-firing in a tangentially fired furnace," Applied Energy, Elsevier, vol. 97(C), pages 514-524.
    4. Taseska, V. & Markovska, N. & Causevski, A. & Bosevski, T. & Pop-Jordanov, J., 2011. "Greenhouse gases (GHG) emissions reduction in a power system predominantly based on lignite," Energy, Elsevier, vol. 36(4), pages 2266-2270.
    5. Zeng, De-Liang & Hu, Yong & Gao, Shan & Liu, Ji-Zhen, 2015. "Modelling and control of pulverizing system considering coal moisture," Energy, Elsevier, vol. 80(C), pages 55-63.
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    4. Li, Zixiang & Miao, Zhengqing & Shen, Xusheng & Li, Jiangtao, 2018. "Effects of momentum ratio and velocity difference on combustion performance in lignite-fired pulverized boiler," Energy, Elsevier, vol. 165(PA), pages 825-839.
    5. Li, Zixiang & Qiao, Xinqi & Miao, Zhengqing, 2021. "A novel burner arrangement scheme with annularly combined multiple airflows for wall-tangentially fired pulverized coal boiler," Energy, Elsevier, vol. 222(C).
    6. Nahian Ismail Chowdhury & Bhaskaran Gopalakrishnan & Nishan Adhikari & Hailin Li & Zhichao Liu, 2024. "Evaluating Electrification of Fossil-Fuel-Fired Boilers for Decarbonization Using Discrete-Event Simulation," Energies, MDPI, vol. 17(12), pages 1-23, June.
    7. Ma, Dafu & Zhang, Shouyu & He, Xiang & Zhang, Jian & Ding, Xian, 2023. "Combustion stability and NOX emission characteristics of a 300 MWe tangentially fired boiler under ultra-low loads with deep-air staging," Energy, Elsevier, vol. 269(C).
    8. Wang, Yanhong & Zou, Zhihong & Lu, Ke & Li, Qi & Hu, Pengfei & Wang, Di, 2024. "Modeling for on-line monitoring of carbon burnout coefficient in boiler under partial load," Energy, Elsevier, vol. 288(C).

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