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Effect of Potassium on the Co-Combustion Process of Coal Slime and Corn Stover

Author

Listed:
  • Jing Zheng

    (School of Materials Science and Engineering, Anhui University of Science and Technology, Huainan 232001, China)

  • Chuanchuan Cai

    (School of Materials Science and Engineering, Anhui University of Science and Technology, Huainan 232001, China
    Anhui Engineering Research Center for Coal Clean Processing and Carbon Reduction, Huainan 232001, China)

  • Tao Ge

    (School of Materials Science and Engineering, Anhui University of Science and Technology, Huainan 232001, China)

  • Mingxu Zhang

    (School of Materials Science and Engineering, Anhui University of Science and Technology, Huainan 232001, China)

Abstract

In this study, the combined combustion characteristics and gaseous product emissions of coal slime and corn stover were compared at different blending ratios. The TG-DTG curves indicate that the optimal performance is achieved when the corn straw blending ratio is 20%. Furthermore, the TG-FTIR coupling results demonstrated an increase in gas species as the blending ratio increased. The composition analysis of ash samples formed at various combustion temperatures using XRD and XRF indicated that a portion of KCl in the fuel was released as volatile matter, while another part reacted with Al 2 O 3 and SiO 2 components in the slime to form silica–aluminate compounds and other substances. Notably, interactions between the components of slime and potassium elements in corn stover primarily occurred within the temperature range of 800–1000 °C. These findings contribute to a comprehensive understanding of biomass and coal co-firing combustion chemistry, offering potential applications for enhancing energy efficiency and reducing emissions in industrial processes.

Suggested Citation

  • Jing Zheng & Chuanchuan Cai & Tao Ge & Mingxu Zhang, 2024. "Effect of Potassium on the Co-Combustion Process of Coal Slime and Corn Stover," Energies, MDPI, vol. 17(20), pages 1-12, October.
    • Handle: RePEc:gam:jeners:v:17:y:2024:i:20:p:5185-:d:1501218
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    References listed on IDEAS

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    1. Liu, Yingzu & He, Yong & Wang, Zhihua & Xia, Jun & Wan, Kaidi & Whiddon, Ronald & Cen, Kefa, 2018. "Characteristics of alkali species release from a burning coal/biomass blend," Applied Energy, Elsevier, vol. 215(C), pages 523-531.
    2. Xing, Zhizhong & Zhao, Shuanfeng & Guo, Wei & Meng, Fanyuan & Guo, Xiaojun & Wang, Shenquan & He, Haitao, 2023. "Coal resources under carbon peak: Segmentation of massive laser point clouds for coal mining in underground dusty environments using integrated graph deep learning model," Energy, Elsevier, vol. 285(C).
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