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Analytical Model Developed to Estimate Self-Heating Potential

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Spontaneous Combustion of Coal

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Abstract

A mathematic model has been developed to link the three methods for testing the propensity of coal’s spontaneous combustion theoretically based on R70 self-heating test setup and the testing procedure. The model considers the heat losses and gains caused by coal moisture, inlet oxygen flow and exhaust air, conduction and convection heat transfers between coal and outside, and heat diffusion in the sample. Using the shrinking model and mobile core model, the previously developed model is improved which is capable of quantifying the effects of sulfur, moisture condensation, humidity, activation energy, and initial temperature on the self-heating process. The model was verified with experimental data which gives a reasonably good result to the predicted one. A new coal ranking system is also suggested with the function of updating the qualitative classification method into a quantitative one. With this quantitative coal ranking system, mathematical correlation of US coal rank and propensity for spontaneous combustion has been developed. The classic USBM method is improved accordingly based on the ranking system.

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Authors and Affiliations

  1. Department of Safety Engineering, Northeastern University, Shenyang, China

    Xinyang Wang

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  1. Xinyang Wang
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Wang, X. (2020). Analytical Model Developed to Estimate Self-Heating Potential. In: Spontaneous Combustion of Coal. Springer, Cham. https://doi.org/10.1007/978-3-030-33691-2_4

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