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Characterisation and double parallel random pore model fitting kinetic analysis of faulty coal oxygen-enriched co-combustion
Thermochimica Acta ( IF 3.5 ) Pub Date : 2024-03-18 , DOI: 10.1016/j.tca.2024.179723
Chunchao Huang , Zhengqi Li , Yue Lu , Zhichao Chen

This study used various analytical techniques to explore the structural characteristics of anthracite, lean coal, and bituminous coal. Thermogravimetric analysis assessed the combustion performance of individual coals and their blends. Results revealed distinct structural differences among the three coals. Although lean coal's functional groups distribution resembled bituminous coal, its carbon ordering aligned with anthracite. Increasing the proportion of bituminous coal minimally improved combustion in air. Under O + N, rising oxygen levels lowered ignition and burnout temperatures, enhancing the comprehensive combustion index. At high heating rates, 30 %O + 70 %CO outperformed 30 %O + 70 %N. The fitting performance of the double parallel random pore model (DRPM) was superior to that of the random pore model (RPM). Kinetic analysis suggested a DRPM for lean coal and bituminous coal co-combustion, unfolding in two stages. Activation energy increased with O concentration in O + N but remained lower than in O + CO.

中文翻译:

缺陷煤富氧混燃表征及双平行随机孔隙模型拟合动力学分析

本研究使用各种分析技术来探索无烟煤、贫煤和烟煤的结构特征。热重分析评估了单个煤及其混合物的燃烧性能。结果显示三种煤炭之间存在明显的结构差异。尽管贫煤的官能团分布类似于烟煤,但其碳排序与无烟煤一致。增加烟煤的比例对空气中燃烧的改善作用微乎其微。在O+N条件下,氧气含量升高降低了着火温度和燃尽温度,提高了综合燃烧指数。在高加热速率下,30 % O + 70 % CO 优于 30 % O + 70 % N。双平行随机孔模型(DRPM)的拟合性能优于随机孔模型(RPM)。动力学分析表明,贫煤和烟煤混燃的 DRPM 分两个阶段展开。 O + N 中的活化能随着 O 浓度的增加而增加,但仍低于 O + CO 中的活化能。
更新日期:2024-03-18
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