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Investigation of heat and mass transfer characteristics during the flame propagation of biomass straw from an initial linear fire source

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  • Li, Cong
  • Xu, Zixuan
  • Wang, Yuqing
  • Xu, Wenbo
  • Yang, Rui
  • Zhang, Hui

Abstract

Biomass straw has gradually received attention as a new energy that is easily accessible. The deep understanding of burning characteristics is critical to the efficient and safe utilization of biomass straw as a new energy, and further benefit to estimate the hazard of straw fire disasters. In the present study, the straw stacked into a rectangle with a length of 1 m, and widths from 0.1 m to 0.6 m was ignited from in a width with a linear-source fire. The heat and mass transfer characteristics during the flame propagation were investigated. The results showed that the flame front shape evolved from concave to convex as the straw width widened. Specifically, the critical transition range of straw width was from 0.3 m to 0.4 m due to the change of the dominant heat transfer factors. The residual mass of straw decreased linearly because of the uniform flame spreading process, indicating a constant MLR. The MLR was determined by the function of the aspect ratio of the instantaneous combustion area, which is shown as n+1/n. The flame temperature above the center position of the rectangular straw increased first and then dropped gradually. The peak dimensionless temperature presented a piecewise function with (z−z0)m˙−2/5.

Suggested Citation

  • Li, Cong & Xu, Zixuan & Wang, Yuqing & Xu, Wenbo & Yang, Rui & Zhang, Hui, 2023. "Investigation of heat and mass transfer characteristics during the flame propagation of biomass straw from an initial linear fire source," Energy, Elsevier, vol. 265(C).
  • Handle: RePEc:eee:energy:v:265:y:2023:i:c:s0360544222032509
    DOI: 10.1016/j.energy.2022.126364
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    References listed on IDEAS

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    1. Deng, Lei & Shi, Congling & Li, Haoran & Wan, Mei & Ren, Fei & Hou, Yanan & Tang, Fei, 2023. "Prediction of energy mass loss rate for biodiesel fire via machine learning and its physical modeling of flame radiation evolution," Energy, Elsevier, vol. 275(C).

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