This work aims to investigate reactive bubbly flow using a comprehensive spatio-temporal 1D model. The work of Darmana et al. (2007) who conducted experimental and numerical study on CO₂ chemisorption in NaOH solution is used as the reference case. The gas–liquid hydrodynamics are well captured using a drift-flux loop model. During the transient process, bubble diameter $d_b$ shrinkage from 5.5 mm at the inlet to 3.7 mm at the outlet is captured by the 1D model. The pH evolution is also well predicted by the 1D model provided that appropriate closures are applied, including the recently proposed enhancement factor and reaction pathway by Krauβ & Rzehak (2017). An asymptotic 0D model is proposed to highlight the key parameters involved during the transient chemisorption process which are enhancement factor $E$, mass transfer coefficient $k_L$, and interfacial area $a$. Sensitivity analyses on liquid axial dispersion coefficient, enhancement factor and mass transfer coefficient are then performed to elucidate their impact on reactive mass transfer. As the process is controlled by interfacial mass transfer, the most important parameters are $k_L$ and $d_b$ description.

这项工作旨在使用综合时空一维模型研究反应气泡流。Darmana 等人的工作。_{(2007) 对 NaOH 溶液中的 CO 2}化学吸附进行了实验和数值研究，作为参考案例。使用漂移通量回路模型很好地捕获了气液流体动力学。在瞬态过程中，气泡直径$d_b$一维模型捕获了从入口处的 5.5 mm 到出口处的 3.7 mm 的收缩。如果应用了适当的封闭，包括 Krauβ 和 Rzehak (2017) 最近提出的增强因子和反应途径，一维模型也可以很好地预测 pH 值的演变。提出了一个渐近 0D 模型来突出瞬态化学吸附过程中涉及的关键参数，这些参数是增强因子$乙$, 传质系数${ķ}_{\mathrm{大号}}$, 和界面面积$\mathrm{一个}$. 然后对液体轴向扩散系数、增强因子和传质系数进行敏感性分析，以阐明它们对反应传质的影响。由于该过程由界面传质控制，因此最重要的参数是${ķ}_{\mathrm{大号}}$和$d_b$描述。