Gas phase dispersion/mixing investigation in a representative geometry of gas-liquid upflow Moving Bed Hydrotreater Reactor (MBR) using developed gas tracer technique and method based on convolution/regression

Gas phase dispersion/mixing investigation in a representative geometry of gas-liquid upflow Moving Bed Hydrotreater Reactor (MBR) using developed gas tracer technique and method based on convolution/regression
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DOI:
10.1016/j.ces.2018.10.013
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发表时间:
2019-02
影响因子:
4.7
通讯作者:
V. Alexander;H. Albazzaz;M. Al-Dahhan
V. Alexander;H. Albazzaz;M. Al-Dahhan
中科院分区:
工程技术2区
文献类型:
--
作者:
V. Alexander;H. Albazzaz;M. Al-Dahhan

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已针对按比例缩小的工业移动床加氢处理反应器 (MBR) 的代表性几何形状的催化剂床部分进行了气体分散研究。 MBR 的催化剂床使用轴向分散模型 (ADM) 进行建模,并使用停留时间分布 (RTD) 并实施基于卷积和回归的方法来估计其参数气体分散系数 (D g) 和佩克莱特数 (Pe)。此外,还使用 ​​RTD 一阶矩和二阶矩测量催化剂床的无量纲方差 (σ D 2),以与 ADM 模型的结果进行比较。这项研究是在不同的气体和液体流速下进行的,包括按比例缩小的操作条件。 D g、Pe 和σ D 2 的结果表明,对于低液体流速,床表现为填充床;对于增加液体流速,床向三相流化床移动。总体而言,在所有操作条件下,气相行为均处于活塞流状态,在填充床状态下具有相对较高的分散/混合。就气体分散/混合和催化剂利用率而言,按比例缩小的流动条件被认为是最好的。
Gas dispersion studies has been executed for the catalyst bed section of a representative geometry of scaled-down industrial Moving Bed Hydrotreater Reactor (MBR). The catalyst bed of MBR is modeled using Axial Dispersion Model (ADM) and its parameters gas dispersion coefficient (D g) and Peclet number (Pe) are estimated using Residence Time Distribution (RTD) and implementing a methodology based on convolution and regression. Additionally, dimensionless variance (σ D 2) for the catalyst bed is also measured using RTDs first and second moments to compare with those findings of ADM model. This study is conducted at the varying flow rates of gas and liquid including scaled down operating conditions. The results of D g, Pe, and σ D 2 indicate that bed behaves as a packed bed for low liquid flow rate and moves towards three-phase fluidized bed for increasing liquid flow rate. Overall the gas phase behavior is seen to be in plug flow for all the operating conditions, with relatively high dispersion/mixing in packed bed state. Scaled down flow conditions is seen to be best in terms of gas dispersion/mixing and catalyst utilization.