Abstract This study uses the Eulerian-Lagrangian multiphase particle-in-cell (MP-PIC) approach, adopted in the computational particle fluid dynamics (CPFD) code, Barracuda VR®, to simulate a cold-flow dual-circulating fluidized bed. The hydrodynamics is simulated using a novel segregated approach, in which the experimental solids circulation rate is specified as an input parameter. CPFD predictions of pressures and particle concentration distributions are compared with experimental results for varying bed material circulation rate of 76–153 kg/m2s and superficial gas velocity in the reactor riser from 3.3 m/s to 6.4 m/s. Overall trends in these quantities are well captured by the model. Detailed sensitivity studies of the reactor riser are carried out using a riser-only approach with a fixed bed mass. Apart from the drag model selection, the pressure constant Ps and the exponent β of the MP-PIC particle stress model are found to have the greatest influence on the fluidization behavior and on the predicted solids flux.

中文翻译：

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预测中试规模双循环流化床中的冷气固流动：计算粒子流体动力学模型的验证

摘要 本研究使用计算粒子流体动力学 (CPFD) 代码 Barracuda VR® 中采用的欧拉-拉格朗日多相胞内粒子 (MP-PIC) 方法来模拟冷流双循环流化床。流体动力学使用一种新颖的分离方法进行模拟，其中实验固体循环速率被指定为输入参数。CPFD 对压力和颗粒浓度分布的预测与在 76-153 kg/m2s 的床材料循环速率和反应器提升管中的表观气体速度从 3.3 m/s 到 6.4 m/s 变化时的实验结果进行了比较。该模型很好地捕捉了这些数量的总体趋势。反应器提升管的详细敏感性研究是使用固定床质量的仅提升管方法进行的。除了拖动模型选择，