A two-equation turbulence model for canopy flows

Svensson, Urban

doi:10.1016/0167-6105(90)90196-j

Cited by 14 publications

(25 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…eq. (26) in Table 5) affects much on the prediction accuracy [110], and considerable difference was observed between the values adopted in the previous researches [96][97][98][99][100][101][102][103][104][105][106][107][108]. The C pε was optimized by the present authors and predicted results were compared with experimental results.…”

Section: Optimization Of Tree Canopy Model For Reproducing the Aerodymentioning

confidence: 99%

“…The proposed vehicle canopy model was derived based on the k-ε model, in which extra terms were added into the transport equations. Similarly to the tree canopy model [96][97][98][99][100][101]107,110], the extra term "-F i " was added in the momentum equation, cf. Table 8, which produced the effect of moving automobiles on velocity change.…”

Section: Outline Of Vehicle Canopy Modelmentioning

confidence: 99%

“…The model coefficients adopted in the extra term added to the transport equation of energy dissipation rate, ε, were optimized by comparing the numerical results with field measurements. The four selected tree canopy models [96][97][98][99][100][101]107] are based on k-ε model as given in Table 7. Table 7.…”

Section: Optimization Of Tree Canopy Model For Reproducing the Aerodymentioning

confidence: 99%

“…It reduces strong wind around high-rise buildings, improves outdoor thermal comfort, etc. In order to reproduce the effects of trees, a lot of researches have been conducted [96][97][98][99][100][101][102][103][104][105][106][107][108][109][110]. Prof. Hiraoka is one of the pioneers in this research field.…”

Section: Outline Of Tree Canopy Model For Reproducing Various Effectsmentioning

confidence: 99%

See 3 more Smart Citations

Prediction of wind environment and thermal comfort at pedestrian level in urban area

Mochida

Lun

2008

Journal of Wind Engineering and Industrial Aerodynamics

281

116

View full text Add to dashboard Cite

Section: Optimization Of Tree Canopy Model For Reproducing the Aerodymentioning

confidence: 99%

Section: Outline Of Vehicle Canopy Modelmentioning

confidence: 99%

Section: Optimization Of Tree Canopy Model For Reproducing the Aerodymentioning

confidence: 99%

Section: Outline Of Tree Canopy Model For Reproducing Various Effectsmentioning

confidence: 99%

See 2 more Smart Citations

Prediction of wind environment and thermal comfort at pedestrian level in urban area

Mochida

Lun

2008

Journal of Wind Engineering and Industrial Aerodynamics

281

116

View full text Add to dashboard Cite

“…There has been considerable activity investigating how best to implement the effect of canopies in two equation turbulence models and a state of the art has emerged following contributions by Svensson and Haggkvist (1990), Liu et al (1998), Sanz (2003) and Lopes da Costa (2007). More recently, these two equation canopy models have been modified to include buoyancy effects due to atmosphere stability (Sogachev et al, 2012) and so it is likely that they will continue to be of use to industry for some time to come.…”

Section: Introductionmentioning

confidence: 99%

A study on the inclusion of forest canopy morphology data in numerical simulations for the purpose of wind resource assessment

Desmond

Watson

Aubrun

et al. 2014

Journal of Wind Engineering and Industrial Aerodynamics

View full text Add to dashboard Cite

A series of numerical simulations of the flow over a forest stand have been conducted using two different turbulence closure models along with various levels of canopy morphology data. Simulations have been validated against Stereoscopic Particle Image Velocimetry measurements from a wind tunnel study using one hundred architectural model trees, the porosities of which have been assessed using a photographic technique.It has been found that an accurate assessment of the porosity of the canopy, and specifically the variability with height, improves simulation quality regardless of the turbulence closure model used or the level of canopy geometry included. The observed flow field and recovery of the wake is in line with characteristic canopy flows published in the literature and it was found that the shear stress transport turbulence model was best able to capture this detail numerically.

show abstract

A Linearized $$k-\epsilon $$ k - ϵ Model of Forest Canopies and Clearings

Segalini

Nakamura

Fukagata

2016

Boundary-Layer Meteorol

View full text Add to dashboard Cite

A linearized analysis of the Reynolds-averaged Navier-Stokes (RANS) equations is proposed where the k − turbulence model is used. The flow near the forest is obtained as the superposition of the undisturbed incoming boundary layer plus a velocity perturbation due to the forest presence, similar to the approach proposed by Belcher et al. (J Fluid Mech 488:369-398, 2003). The linearized model has been compared against several non-linear RANS simulations with many leaf-area index values and large-eddy simulations using two different values of leaf-area index. All the simulations have been performed for a homogeneous forest and for four different clearing configurations. Despite the model approximations, the mean velocity and the Reynolds stress u w have been reasonably reproduced by the firstorder model, providing insight about how the clearing perturbs the boundary layer over forested areas. However, significant departures from the linear predictions are observed in the turbulent kinetic energy and velocity variances. A second-order correction, which partly accounts for some non-linearities, is therefore proposed to improve the estimate of the turbulent kinetic energy and velocity variances. The results suggest that only a region close to the canopy top is significantly affected by the forest drag and dominated by the non-linearities, while above three canopy heights from the ground only small effects are visible and both the linearized model and the simulations have the same trends there.

show abstract

A two-equation turbulence model for canopy flows

Cited by 14 publications

References 0 publications

Prediction of wind environment and thermal comfort at pedestrian level in urban area

Prediction of wind environment and thermal comfort at pedestrian level in urban area

A study on the inclusion of forest canopy morphology data in numerical simulations for the purpose of wind resource assessment

A Linearized $$k-\epsilon $$ k - ϵ Model of Forest Canopies and Clearings

Contact Info

Product

Resources

About