CFD simulation of dense gas dispersion in neutral atmospheric boundary layer with OpenFOAM

Tran, V.H.; Ng, E. Y. K.; Skote, Martin

doi:10.1007/s00703-019-00689-2

Cited by 10 publications

(4 citation statements)

References 20 publications

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“…The simulation of the atmospheric boundary layer poses a challenge for CFD. The main problem lies in the inherently turbulent nature of the atmospheric flow and cloud formation, further complicated by the orography of the terrain and the buildings [22,23]. A realistic wind flow requires taking into account many details like changes in transport properties with temperature and pressure, as well as the boundary conditions in contact with the terrain or in the top of the simulation domain.…”

Section: Resultsmentioning

confidence: 99%

Atmospheric Contamination of Coastal Cities by the Exhaust Emissions of Docked Marine Vessels: The Case of Tromsø

et al. 2021

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Docked ships are a source of contamination for the city while they keep their engine working. Plume emissions from large boats can carry a number of pollutants to nearby cities causing a detrimental effect on the life quality and health of local citizens and ecosystems. A computational fluid dynamics model of the harbour area of Tromsø has been built in order to model the deposition of CO2 gas emitted by docked vessels within the city. The ground level distribution of the emitted gas has been obtained and the influence of the wind speed and direction, vessel chimney height, ambient temperature and exhaust gas temperature have been studied. The deposition range is found to be the largest when the wind speed is low. At high wind speeds, the deposition of pollutants along the wind direction is enhanced and spots of high pollutant concentration can be created. The simulation model is intended for the detailed study of the contamination in cities near the coast or an industrial pollutant source of any type of gas pollutant and can easily be extended for the study of particulate matter.

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Section: Resultsmentioning

confidence: 99%

Atmospheric Contamination of Coastal Cities by the Exhaust Emissions of Docked Marine Vessels: The Case of Tromsø

et al. 2021

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“…The simulation of the atmospheric boundary layer possess a challenge for CFD. The main problem lies in the inherently turbulent nature of the atmospheric flow and the cloud formation, further complicated by the orography of the terrain and the buildings [19,20]. A realistic wind flow requires taking into account many details like the changes of the transport properties with temperature and pressure, as well as the boundary conditions in contact with the terrain or in the top of the simulation domain.…”

Section: Resultsmentioning

confidence: 99%

Atmospheric Contamination of Coastal Cities by the Exhaust Emissions of Docked Marine Vessels: The Case of Tromsø

Zubiaga¹,

Madsen²,

Khawaja³

et al. 2021

Preprint

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Docked ships are a source of contamination for the city while they keep their engine working. Plumes emissions from large boats can carry a number of pollutants to the nearby cities causing a detrimental effect on the life quality and health of local citizens and ecosystems. A computational fluid dynamics model of the harbour area of Tromsø has been built in order to model the deposition of CO2 gas emitted by docked vessels within the city. The ground level distribution of the emitted gas has been obtained and the influence of the wind speed and direction, vessel chimney height, ambient temperature and exhaust gas temperature has been studied. The deposition range is found to be the largest when the wind speed is low. At high wind speeds, the deposition of pollutants along the wind direction is enhanced and spots of high pollutant concentration can be created. The simulation model is intended for the detailed study of the contamination in cities near the coast or an industrial pollutant source of any type of gas pollutants and can easily be extended for the study of particulate matter.

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“…This model is equivalent to Equations ( 20)- (22). Although the use of this model on the mesoscale is not the common choice, there exist several applications of corresponding models [55][56][57][58][59]. One possibility for hybridizing this model is to consider a variable α * (instead of a constant α) combined with an appropriate calculation of α * .…”

Section: Stratified Flowsmentioning

confidence: 99%

From Two-Equation Turbulence Models to Minimal Error Resolving Simulation Methods for Complex Turbulent Flows

Stefan

2022

Fluids

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Hybrid RANS-LES methods are supposed to provide major contributions to future turbulent flow simulations, in particular for reliable flow predictions under conditions where validation data are unavailable. However, existing hybrid RANS-LES methods suffer from essential problems. A solution to these problems is presented as a generalization of previously introduced continuous eddy simulation (CES) methods. These methods, obtained by relatively minor extensions of standard two-equation turbulence models, represent minimal error simulation methods. An essential observation presented here is that minimal error methods for incompressible flows can be extended to stratified and compressible flows, which opens the way to addressing relevant atmospheric science problems (mesoscale to microscale coupling) and aerospace problems (supersonic or hypersonic flow predictions). It is also reported that minimal error methods can provide valuable contributions to the design of consistent turbulence models under conditions of significant modeling uncertainties.

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CFD simulation of dense gas dispersion in neutral atmospheric boundary layer with OpenFOAM

Cited by 10 publications

References 20 publications

Atmospheric Contamination of Coastal Cities by the Exhaust Emissions of Docked Marine Vessels: The Case of Tromsø

Atmospheric Contamination of Coastal Cities by the Exhaust Emissions of Docked Marine Vessels: The Case of Tromsø

Atmospheric Contamination of Coastal Cities by the Exhaust Emissions of Docked Marine Vessels: The Case of Tromsø

From Two-Equation Turbulence Models to Minimal Error Resolving Simulation Methods for Complex Turbulent Flows

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