A computational fluid dynamics (CFD) study is conducted to find a suitable two equation turbulence model for accurate prediction of hydrodynamics of an inhouse turbulence contact absorber (TCA) at high gas and liquid velocities. Based on the multi-fluid Eulerian approach, hydrodynamics of TCA is simulated by incorporating three turbulence models i.e. standard k–ε model, RNG k–ε model and SST k–ω model in ANSYS Fluent®. The solid phase stresses were closed by using the kinetic theory of granular flows (KTGF). TCA hydrodynamics parameters; expanded bed height and bed pressure drop were used to compare the results of this study with experimental data and also with earlier numerical study published with laminar viscous model. It was found that the RNG k–ε model predicted the bed height and pressure drop better than its counterparts. To accurately find the effects of secondary phase turbulence, two RNG k–ε model options i-e. per phase and dispersed were also evaluated. The results show that the “per phase” option of RNG k–ε model produced the expanded bed height and pressure drop in close agreement with available experimental data at similar operating conditions.

进行了计算流体动力学（CFD）研究，以找到合适的两个方程式湍流模型，以准确预测室内湍流吸收塔（TCA）在高气体和液体速度下的流体动力学。基于多流体欧拉方法，在ANSYSFluent®中将标准k–ε模型，RNG k–ε模型和SST k–ω模型纳入了三种湍流模型，从而模拟了TCA的流体动力学。固相应力通过使用颗粒流动动力学理论（KTGF）来封闭。TCA流体力学参数；扩展的床高和床压降被用来将本研究的结果与实验数据以及与层流粘性模型发表的较早的数值研究进行比较。发现RNGk–ε模型预测的床层高度和压力下降要优于同类模型。为了准确地找到次级相湍流的影响，有两个RNGk -ε模型选项，即。还评估了每相的分散度。结果表明，RNGk -ε模型的“每相”选项产生了扩展的床层高度和压降，与在类似操作条件下可获得的实验数据非常吻合。