Heavy gas concentration prediction on complex terrain using CFD with Monin-Obukhov similarity theory
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Under stable atmospheric conditions (i.e., low wind speed and low heat radiation), once heavy gases (e.g., CO2, H2S, LNG) release to the atmosphere, the gas clouds tend to stay near the ground for long period of time, thereby causing high concentration zone and increasing the threats to the local population and the environment. Despite of the advanced development of computational fluid dynamic (CFD) modelling, or the Reynolds-Averaged Navier-Stokes (RANS) models with standard turbulence closures (e.g., standard , RNG and ), researchers have pointed out that these models are incompatible with the experimental data under stable atmospheric conditions. Therefore, there is an increasing interest in developing a robust mathematical model for heavy gas dispersion, especially in the field of turbulence modelling. This present study is to develop a CFD model with a two-equation turbulence model for heavy gas dispersion over complex geometry in stable atmospheric conditions. This two-equation turbulence model is a modified turbulence model based on the Monin-Obukhov similarity theory (MOST). The calculations from the modified turbulence model can maintain the homogeneity of the flow properties. The calculations from the CFD model with the modified model is compared with the experimental data collected from the Kit Fox experiment under stable atmospheric conditions (Class F). A robust and reliable model can provide potential guidelines for emergency mitigation planning for heavy gas leakage incidents.
SubjectMonin-Obukhov similarity theory
Glover, Charles; Laboureur, Delphine; Zhu, Jiayong (2019). Heavy gas concentration prediction on complex terrain using CFD with Monin-Obukhov similarity theory. Mary Kay O'Connor Process Safety Center; Texas &M University. Libraries. Available electronically from