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<p>This paper developed a general reaction rate model (GRRM) that excludes conversion rate (<i>α</i>) from its expression to obtain the kinetic parameters and predict the reaction rates of coal oxidation. To further eliminate the dependence of the kinetic parameters on <i>α</i> when predicting reaction rates, a linear relationship between ln<i>β</i> (heating rate, <i>β</i>) and 1/<i>T</i> (temperature, <i>T</i>) was established through theoretical analysis, to predict the corresponding <i>T</i> for each <i>α</i>. Based on the thermogravimetric experiments of coal oxidation under different <i>β</i> (2, 5, 10&#xa0;K&#xa0;min<sup>−1</sup>) and oxygen volume fractions (<i>Y</i><sub>O2</sub> = 21%, 12%, 3%), the activation energy (<i>E</i><sub><i>α</i></sub>) and the pre-exponential factor (<i>A</i><sub>eff,<i>α</i></sub>) were obtained using the GRRM. Results indicated that low <i>Y</i><sub>O2</sub> inhibits reactions with high activation energy, leading to a decrease in average <i>E</i><sub><i>α</i></sub> as <i>Y</i><sub>O2</sub> decreases. At 3% <i>Y</i><sub>O2</sub>, <i>E</i><sub><i>α</i></sub> within the <i>α</i> range of 0.4–0.85 is less than the spontaneous reaction activation energy of 40&#xa0;kJ&#xa0;mol<sup>−1</sup>. Moreover, combined with the linear relationship between ln<i>β</i> and 1/<i>T</i>, GRRM effectively predicted the reaction rates at a heating rate of 15&#xa0;K&#xa0;min<sup>−1</sup> and under different <i>Y</i><sub>O2</sub>. Compared with the traditional model-free methods, the proposed GRRM demonstrates better predictive performance with an average prediction error below 15%.</p>

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Investigation of coal oxidation kinetics based on a general reaction rate model

  • 期刊论文

  • 发表日期：

    2026年4月1日

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  • Wentao Zhao,
  • Jun Li,
  • Wenjie Hu

摘要

This paper developed a general reaction rate model (GRRM) that excludes conversion rate (α) from its expression to obtain the kinetic parameters and predict the reaction rates of coal oxidation. To further eliminate the dependence of the kinetic parameters on α when predicting reaction rates, a linear relationship between lnβ (heating rate, β) and 1/T (temperature, T) was established through theoretical analysis, to predict the corresponding T for each α. Based on the thermogravimetric experiments of coal oxidation under different β (2, 5, 10 K min−1) and oxygen volume fractions (YO2 = 21%, 12%, 3%), the activation energy (Eα) and the pre-exponential factor (Aeff,α) were obtained using the GRRM. Results indicated that low YO2 inhibits reactions with high activation energy, leading to a decrease in average Eα as YO2 decreases. At 3% YO2, Eα within the α range of 0.4–0.85 is less than the spontaneous reaction activation energy of 40 kJ mol−1. Moreover, combined with the linear relationship between lnβ and 1/T, GRRM effectively predicted the reaction rates at a heating rate of 15 K min−1 and under different YO2. Compared with the traditional model-free methods, the proposed GRRM demonstrates better predictive performance with an average prediction error below 15%.