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Evaluation of char combustion models: measurement and analysis of variability in char particle size and density

机译:炭燃烧模型的评价:炭粒径和密度变异性的测量和分析

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Char samples representing a range of combustion conditions and extents of burnout were obtained from a well-characterized laminar flow combustion experiment. Individual particles from the parent coal and char samples were characterized to determine distributions in particle volume, mass, and density at different extent of burnout. The data were then compared with predictions from a comprehensive char combustion model referred to as the char burnout kinetics model (CBK). The data clearly reflect the particle-to-particle heterogeneity of the parent coal and show a significant broadening in the size and density distributions of the chars resulting from both devolatilization and combustion. Data for chars prepared in a lower oxygen content environment (6% oxygen by vol.) are consistent with zone II type combustion behavior where most of the combustion is occurring near the particle surface. At higher oxygen contents (12% by vol.), the data show indications of more burning occurring in the particle interior. The CBK model does a good job of predicting the general nature of the development of size and density distributions during burning but the input distribution of particle size and density is critical to obtaining good predictions. A significant reduction in particle size was observed to occur as a result of devolatilization. For comprehensive combustion models to provide accurate predictions, this size reduction phenomenon needs to be included in devolatilization models so that representative char distributions are carried through the calculations.
机译:代表燃烧条件范围和燃烧范围的焦炭样品是从一个特征在于特征的层流燃烧实验获得的。来自母煤和焦炭样品的个体颗粒的特征是在不同程度的燃尽的颗粒体积,质量和密度中确定分布。然后将数据与来自作为Char Burnout动力学模型(CBK)称为Char Burnout动力学模型(CBK)的综合炭燃烧模型进行比较。该数据清楚地反映了母煤的颗粒 - 颗粒异质性,并且在脱挥发和燃烧中产生的尺寸和密度分布中显示出显着的宽度。用于较低氧气含量环境(由Vol的6%氧气制备的CAR的数据与区域II型燃烧行为一致,其中大部分燃烧发生在颗粒表面附近。在较高的氧气内容(12%受Vol.),数据显示在粒子内部发生更多燃烧的指示。 CBK模型在燃烧期间预测尺寸和密度分布的发展的一般性质做好,但粒度和密度的输入分布对于获得良好预测至关重要。观察到由于脱挥发化而发生粒度的显着降低。对于综合燃烧模型来提供准确的预测,这种尺寸减少现象需要包括在脱挥石模型中,以便通过计算进行代表性的CHAR分布。

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