Economic evaluation of rotating packed bed use for aroma absorption from bioreactor off-gas

Lukin, Ilya; Pietzka, Lukas; Groß, Kai; Górak, Andrzej; Schembecker, Gerhard

doi:10.1016/j.cep.2020.108011

Cited by 4 publications

(1 citation statement)

References 28 publications

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“…It has been demonstrated that the mass transfer coefficient was increased by 1–3 orders of magnitude compared with conventional packed beds, 1 and this is because RPBs can split the injected liquid into microscale or even nanoscale films, filaments, and droplets by the shear effect of the rotating porous packing 2–4 . At present, RPBs have been extensively used in many chemical industrial processes, for example, aroma absorption, 5,6 removal of sulfur dioxide, 7 NO x , 8 synthesis of hierarchical ZSM‐5 zeolite, 9 CuO/Cu 2 O/Cu nanoparticles, 10 nano‐CaCO 3 11 . RPBs are also a type of potential candidate for removing CO 2 from natural gas, especially for the application on the floating production storage and offloading system for liquefied natural gas (LNG‐FPSO).…”

Section: Introductionmentioning

confidence: 99%

Modeling of gas–liquid flow in a rotating packed bed using an Eulerian multi‐fluid approach

Zhang

Xie²,

et al. 2022

AIChE Journal

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Rotating packed beds (RPBs) are ideal candidates for CO2 removal from offshore natural gas due to their good mass transfer performance and significant volume savings. This article proposes an Eulerian multi‐fluid approach to simulate the gas–liquid flow in RPBs. Three new multiphase drag force models are constructed based on single‐phase drag force models for wire mesh packings. Based on the Eulerian multi‐fluid approach, a new RPB simulation framework is developed. The predicted results using the new simulation framework with the new drag force models are compared with the experimental data. When using the Kołodziej model and the modified Kołodziej model, the predicted overall liquid holdup shows good agreement with the experimental data with errors less than 20%. In addition, the pressure drop predicted by these three models are reasonable compared with the experimental data. This work lays a foundation for RPB simulation of gas–liquid flow using Eulerian multi‐fluid approach.

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