Rotating Packed Bed (RPB), as a representative equipment of hyper-gravity technology, is widely used in process intensification of various reactions and separations. This paper constructs a three-dimensional CFD model of RPB by employing the porous media Eulerian two-fluid method, coupling mass transfer, heat transfer, and chemical reaction models. The CFD model successfully simulated the CO absorption process by MEA solution within the RPB, with the simulation results aligning well with both experimental and calculation data. The CFD model predicts the overall gas phase mass transfer coefficient () range of 1.876 to 3.029 s, while experimental data fall within the range of 1.7 to 2.4 s, with deviations ranging from 1.70 % to 26.2 %. Detailed distributions of flow and mass transfer parameters within the packing were obtained, and a quantitative analysis was conducted on the impact of different operating parameters on mass transfer and decarbonization performance. The and CO removal rate first increase (400 ∼ 1500 rpm) and then stabilize (1500 ∼ 2500 rpm) with the increase of rotational speed. The correlation to predict overall gas phase mass transfer coefficient was developed, and the calculated values are in agreement with the simulated values with deviations within ± 26 %. This work provides a novel and practical approach to designing and optimizing processes for RPB in engineering applications.

中文翻译：

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使用三维欧拉多孔介质方法模拟 RPB 中 MEA 水溶液吸收二氧化碳的反应


旋转填充床（RPB）作为超重力技术的代表设备，广泛应用于各种反应和分离的过程强化。本文采用多孔介质欧拉二流体方法，耦合传质、传热和化学反应模型，构建了RPB三维CFD模型。 CFD模型成功模拟了RPB内MEA溶液吸收CO的过程，模拟结果与实验和计算数据吻合良好。 CFD模型预测总体气相传质系数()范围为1.876~3.029 s，而实验数据落在1.7~2.4 s范围内，偏差范围为1.70%~26.2%。获得了填料内流量和传质参数的详细分布，并定量分析了不同操作参数对传质和脱碳性能的影响。随着转速的增加，CO去除率先增加（400～1500rpm），然后稳定（1500～2500rpm）。建立了预测总气相传质系数的相关性，计算值与模拟值一致，偏差在±26%以内。这项工作为工程应用中的 RPB 流程设计和优化提供了一种新颖且实用的方法。