TY - JOUR
T1 - Implementation of a CFD model for wall condensation in the presence of non-condensable gas mixtures
AU - Kumar, G. Vijaya
AU - Cammiade, Liam M.F.
AU - Kelm, Stephan
AU - Prakash, K. Arul
AU - Groß, Eva M.
AU - Allelein, Hans-Josef
AU - Kneer, Reinhold
AU - Rohlfs, Wilko
N1 - Funding Information:
The authors gratefully acknowledge the German Federal Ministry for Economic Affairs and Energy for funding the development experimental and analytical work in the frame of the SETCOM project on ?Experiments and CFD Model Development for Wall Condensation on Containment Structures? (Project No. 1501489, 1501591), which is conducted in close cooperation between Forschungszentrum J?lich GmbH and RWTH Aachen University. They also appreciate the DAAD-UGC for providing funding for the Joint Doctoral Program between IIT Madras and RWTH Aachen University.
Funding Information:
The authors gratefully acknowledge the German Federal Ministry for Economic Affairs and Energy for funding the development experimental and analytical work in the frame of the SETCOM project on “Experiments and CFD Model Development for Wall Condensation on Containment Structures” (Project No. 1501489, 1501591), which is conducted in close cooperation between Forschungszentrum Jülich GmbH and RWTH Aachen University. They also appreciate the DAAD-UGC for providing funding for the Joint Doctoral Program between IIT Madras and RWTH Aachen University .
Publisher Copyright:
© 2021 Elsevier Ltd
PY - 2021/3/25
Y1 - 2021/3/25
N2 - In this paper, we discuss a CFD model to predict vapor condensation on walls in the presence of non-condensable gases, with a specific focus on large scale applications, such as accidental flows in a nuclear reactor containment. It is conclusive from the previous works that the heat and mass transport resistance due to the diffusion boundary layer in the gas phase overwhelms the liquid film thermal resistance. Therefore, the two-phase wall condensation phenomenon is treated with a single-phase (gas) model. For the numerical implementation, the containmentFOAM CFD package, based on OpenFOAM is used. For the first time, the model implementation is discussed for arbitrary multi-component mixtures, and performances of two commonly used approaches – Volumetric source terms and Face-fluxes – are compared; the Face-flux model proved to be more accurate, computationally cheaper, and less grid-dependent. Concluding, the Face-flux approach was validated against the experimental database for forced convection flows, obtained at the SETCOM facility in Forschungzentrum Jülich, Germany. The results demonstrate the model's predictiveness and robustness for a wide range of cases in the forced convection regime.
AB - In this paper, we discuss a CFD model to predict vapor condensation on walls in the presence of non-condensable gases, with a specific focus on large scale applications, such as accidental flows in a nuclear reactor containment. It is conclusive from the previous works that the heat and mass transport resistance due to the diffusion boundary layer in the gas phase overwhelms the liquid film thermal resistance. Therefore, the two-phase wall condensation phenomenon is treated with a single-phase (gas) model. For the numerical implementation, the containmentFOAM CFD package, based on OpenFOAM is used. For the first time, the model implementation is discussed for arbitrary multi-component mixtures, and performances of two commonly used approaches – Volumetric source terms and Face-fluxes – are compared; the Face-flux model proved to be more accurate, computationally cheaper, and less grid-dependent. Concluding, the Face-flux approach was validated against the experimental database for forced convection flows, obtained at the SETCOM facility in Forschungzentrum Jülich, Germany. The results demonstrate the model's predictiveness and robustness for a wide range of cases in the forced convection regime.
KW - n/a OA procedure
U2 - 10.1016/j.applthermaleng.2021.116546
DO - 10.1016/j.applthermaleng.2021.116546
M3 - Article
SN - 1359-4311
VL - 187
JO - Applied thermal engineering
JF - Applied thermal engineering
M1 - 116546
ER -