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Evaluation of pulverized coal utilization in a blast furnace by numerical simulation and grey relational analysis

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  • Wu, Dongling
  • Zhou, Ping
  • Zhou, Chenn Q.

Abstract

Pulverized coal injection is the key technology in energy saving and CO2 mitigation for an iron-making blast furnace. To obtain a high utilization efficiency of the pulverized coal, operating parameters are optimized frequently due to their operating flexibility. In this study, the effects of key operating parameters on coal utilization efficiency were evaluated based on computational fluid dynamics and grey relational analysis (CFD-GRA). The CFD simulation of pulverized coal combustion process was coupled with that of formation process of the major combustion zone (i.e., raceway). Then, the characteristics of coal utilization were analysed, two local indicators of coal utilization were proposed from the viewpoint of coal plume. The correlation degrees between the indicators and the operating parameters were obtained through employing GRA method, aiming to determine the primary operating parameter to coal utilization efficiency. Results of CFD-GRA evaluation indicate that the primary determinant of the raceway depth is the blast rate. Besides, the blast rate has stronger impacts on the overall burnout rate and intensive combustion zone in the coal plume. However, increasing the oxygen enrichment rate was observed to be more effective than the blast rate for improving medium particle utilization. Particle size distribution has the least impact on the local and overall coal utilization efficiency. Results yield an optimization strategy for operating parameters for achieving a high utilization efficiency.

Suggested Citation

  • Wu, Dongling & Zhou, Ping & Zhou, Chenn Q., 2019. "Evaluation of pulverized coal utilization in a blast furnace by numerical simulation and grey relational analysis," Applied Energy, Elsevier, vol. 250(C), pages 1686-1695.
    • Handle: RePEc:eee:appene:v:250:y:2019:i:c:p:1686-1695
    DOI: 10.1016/j.apenergy.2019.05.051
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    References listed on IDEAS

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    Cited by:

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    2. Zhuo, Yuting & Shen, Yansong, 2020. "Three-dimensional transient modelling of coal and coke co-combustion in the dynamic raceway of ironmaking blast furnaces," Applied Energy, Elsevier, vol. 261(C).
    3. Wang, Qi & Wang, Enlu & An, Qi & Chionoso, Oguga Paul, 2023. "CFD study of bio-syngas and coal co-injection in a blast furnace with double lance," Energy, Elsevier, vol. 263(PD).
    4. Kai Wang & Jianliang Zhang & Shengli Wu & Jianlong Wu & Kun Xu & Jiawen Liu & Xiaojun Ning & Guangwei Wang, 2022. "Feasibility Analysis of Biomass Hydrochar Blended Coal Injection for Blast Furnace," Sustainability, MDPI, vol. 14(17), pages 1-17, August.
    5. Nie, Wen & Cha, Xingpeng & Bao, Qiu & Peng, Huitian & Xu, Changwei & Zhang, Shaobo & Zhang, Xu & Ma, Qingxin & Guo, Cheng & Yi, Shixing & Jiang, Chenwang, 2023. "Study on dust pollution suppression of mine wind-assisted spray device based on orthogonal test and CFD simulation," Energy, Elsevier, vol. 263(PB).

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