Beyond the standard two-film theory: Computational fluid dynamics simulations for carbon dioxide capture in a wetted wall column
Autor: | Xin Sun, Zhijie Xu, Canhai Lai, Chao Wang |
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Rok vydání: | 2018 |
Předmět: |
Mass transfer coefficient
Absorption (acoustics) business.industry Applied Mathematics General Chemical Engineering Flow (psychology) 02 engineering and technology General Chemistry Mechanics Computational fluid dynamics 021001 nanoscience & nanotechnology Industrial and Manufacturing Engineering Physics::Fluid Dynamics chemistry.chemical_compound 020401 chemical engineering chemistry Mass transfer Carbon dioxide Volume of fluid method 0204 chemical engineering Diffusion (business) 0210 nano-technology business |
Zdroj: | Chemical Engineering Science. 184:103-110 |
ISSN: | 0009-2509 |
DOI: | 10.1016/j.ces.2018.03.021 |
Popis: | The standard two-film theory (STFT) is a diffusion-based mechanism that can be used to describe gas mass transfer across liquid film. Fundamental assumptions of the STFT impose serious limitations on its ability to predict mass transfer coefficients. To better understand gas absorption across liquid film in practical situations, a multiphase computational fluid dynamics (CFD) model fully equipped with mass transport and chemistry capabilities has been developed for solvent-based carbon dioxide (CO 2 ) capture to predict the CO 2 mass transfer coefficient in a wetted wall column. The hydrodynamics is modeled using a volume of fluid method, and the diffusive and reactive mass transfer between the two phases is modeled by adopting a one-fluid formulation. We demonstrate that the proposed CFD model can naturally account for the influence of many important factors on the overall mass transfer that cannot be quantitatively explained by the STFT, such as the local variation in fluid velocities and properties, flow instabilities, and complex geometries. The CFD model also can predict the local mass transfer coefficient variation along the column height, which the STFT typically does not consider. |
Databáze: | OpenAIRE |
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