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首页> 外文期刊>Journal of Analytical & Applied Pyrolysis >Space-time integral method for simplifying the modeling of torrefaction of a centimeter-sized biomass particle
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Space-time integral method for simplifying the modeling of torrefaction of a centimeter-sized biomass particle

机译:简化一个厘米级生物质颗粒的烘焙建模的时空积分方法

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A method to develop a simplified particle model (SPM) for the torrefaction of a centimeter-sized biomass particle has been proposed. The SPM was developed based on reasonable assumptions, and these assumptions were validated with a comprehensive particle model (CPM) from Shi et al. (2016), which considers the detailed transport phenomena and chemical reactions inside a three-dimensional (3D) biomass particle and which was experimentally validated. The SPM was validated against the experimental data with respect to the evolution of the particle's mass loss during torrefaction (mean deviation of lower than 3.0 wt.%, feedstock dry basis). The accuracy of the SPM in predicting the intraparticle temperature distribution was further assessed by comparing to the CPM predicted data. Finally, the applicability of the SPM was studied. Results show that the SPM can predict results with acceptable accuracy when comparing to the experimental data or to the CPM predicted data. In addition, the SPM runs over 100 times faster compared to the CPM for a single particle, which indicates that the SPM would be promising for integration into reactor models that needs to calculate many thousands or more particles at the same time. (C) 2017 Elsevier B.V. All rights reserved.
机译:已经提出了一种开发用于简化厘米级生物质颗粒的简化颗粒模型(SPM)的方法。 SPM是在合理假设的基础上开发的,这些假设已通过Shi等人的综合粒子模型(CPM)进行了验证。 (2016年),其中考虑了三维(3D)生物质颗粒内部的详细传输现象和化学反应,并进行了实验验证。相对于干燥过程中颗粒质量损失的演变(相对于原料干基,平均偏差低于3.0 wt。%),根据实验数据验证了SPM。通过与CPM预测数据进行比较,进一步评估了SPM预测颗粒内温度分布的准确性。最后,研究了SPM的适用性。结果表明,与实验数据或CPM预测数据相比,SPM可以以可接受的准确性预测结果。此外,单个颗粒的SPM运行速度比CPM快100倍以上,这表明SPM将有望集成到需要同时计算成千上万个颗粒的反应堆模型中。 (C)2017 Elsevier B.V.保留所有权利。

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