Large eddy simulation of the neutral atmospheric boundary layer: performance evaluation of three inflow methods for terrains with different roughness

Vasaturo, R.; Kalkman, I Ivo; Blocken, Bje Bert; Wesemael, P.J.V. van

doi:10.1016/j.jweia.2017.11.025

Cited by 61 publications

(11 citation statements)

References 84 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Several works have utilized energy spectra to examine the ability of LES to reproduce realistic results. These are compared either against wind tunnel data [17,24], or among different LES parameterizations (e.g., methods for the production of turbulence [97], grid resolutions, and Re number [98]).…”

Section: Turbulence Statisticsmentioning

confidence: 99%

See 1 more Smart Citation

Qualitative and Quantitative Investigation of Multiple Large Eddy Simulation Aspects for Pollutant Dispersion in Street Canyons Using OpenFOAM

et al. 2019

View full text Add to dashboard Cite

Air pollution is probably the single largest environment risk to health and urban streets are the localized, relevant hotspots. Numerous studies reviewed the state-of-the-art models, proposed best-practice guidelines and explored, using various software, how different approaches (e.g., Reynolds-averaged Navier–Stokes (RANS), large eddy simulations (LES)) inter-compare. Open source tools are continuously attracting interest but lack of similar, extensive and comprehensive investigations. At the same time, their configuration varies significantly among the related studies leading to non-reproducible results. Therefore, the typical quasi-2D street canyon geometry was selected to employ the well-known open-source software OpenFOAM and to investigate and validate the main parameters affecting LES transient simulation of a pollutant dispersion. In brief, domain height slightly affected street level concentration but source height had a major impact. All sub-grid scale models predicted the velocity profiles adequately, but the k-equation SGS model best-resolved pollutant dispersion. Finally, an easily reproducible LES configuration is proposed that provided a satisfactory compromise between computational demands and accuracy.

show abstract

Section: Turbulence Statisticsmentioning

confidence: 99%

“…parameterizations (e.g., methods for the production of turbulence [97], grid resolutions, and Re number [98]). Figure 11 presents the energy spectra for three heights in the middle of the canyon (x/W = 0.5), at z/H = 0.1, 0.5, and 1.0, where cells have relatively larger size compared to close the walls.…”

Section: Turbulence Statisticsmentioning

confidence: 99%

Qualitative and Quantitative Investigation of Multiple Large Eddy Simulation Aspects for Pollutant Dispersion in Street Canyons Using OpenFOAM

et al. 2019

View full text Add to dashboard Cite

show abstract

“…Urban roughness is heteogenous consisting of different type of surfaces (e.g. Antoniou et al, 2016;King et al, 2017;Vasaturo et al, 2018;Tolias et al, 2018). A change in surface roughness, such as exists at the edge of the city, or at the junction between the central business district (CBD) and an area of surrounding low-rise buildings, leads to a region of transitional flow as the turbulent boundary layer takes time to adapt to the new wall condition (e.g.…”

Section: Introductionmentioning

confidence: 99%

Turbulence and dispersion below and above the interface of the internal and the external boundary layers

Sessa

Xie

Herring

2018

Journal of Wind Engineering and Industrial Aerodynamics

View full text Add to dashboard Cite

This study has looked at the development of the internal boundary layer (IBL) over a block array close to a sharp change in surface roughness and its effect on dispersion from a ground level source for ratios of the downstream distance to the roughness length of less than 300. This was done by comparing a Large-Eddy Simulation (LES) with inflow boundary conditions against a LES with inlet-outlet periodic boundary conditions and data from a wind tunnel experiment. In addition to established methods, an alternative approach based on the vertical Reynolds stress was used to evaluate the depth of the IBL as it developed over the array which enabled the location of the interface to be more clearly defined. It was confirmed that the IBL growth rate close to the change in surface roughness could be described by a power law profile, similar to the power law formula used in previous studies for a ratio of the downstream distance to the roughness length greater than 1000. An analysis of mean concentration and turbulent scalar fluxes suggested that the presence of the IBL constrained the vertical development of the plume from a ground level source and so led to trapping of material in the canopy layer.

show abstract

“…Recent works seems to agree that the flow field across the domain might be divided into a far-from-buildings region showing a strong sensitivity to the inlet profile, and a through-buildings region where the behavior seems rather insensitive [22]. As an increasing number of LES studies on simplified geometries investigate the possibility of introducing a suitable turbulent inlet to correct for the spatial limitedness of the computational domain [23], it is not clear how an inlet profile matching mean wind speed and turbulence intensity might guarantee on the description of the fluctuating flow behavior over a complex urban setup [24,25].…”

Section: Introductionmentioning

confidence: 99%

Role of Inflow Turbulence and Surrounding Buildings on Large Eddy Simulations of Urban Wind Energy

et al. 2020

View full text Add to dashboard Cite

Predicting flow patterns that develop on the roof of high-rise buildings is critical for the development of urban wind energy. In particular, the performance and reliability of devices largely depends on the positioning strategy, a major unresolved challenge. This work aims at investigating the effect of variations in the turbulent inflow and the geometric model on the flow patterns that develop on the roof of tall buildings in the realistic configuration of the University of Birmingham’s campus in the United Kingdom (UK). Results confirm that the accuracy of Large Eddy Simulation (LES) predictions is only marginally affected by differences in the inflow mean wind speed and turbulence intensity, provided that turbulence is not absent. The effect of the presence of surrounding buildings is also investigated and found to be marginal to the results if the inflow is turbulent. The integral length scale is the parameter most affected by the turbulence characteristics of the inflow, while gustiness is only marginally influenced. This work will contribute to LES applications on the urban wind resource and their computational setup simplification.

show abstract

Large eddy simulation of the neutral atmospheric boundary layer: performance evaluation of three inflow methods for terrains with different roughness

Cited by 61 publications

References 84 publications

Qualitative and Quantitative Investigation of Multiple Large Eddy Simulation Aspects for Pollutant Dispersion in Street Canyons Using OpenFOAM

Qualitative and Quantitative Investigation of Multiple Large Eddy Simulation Aspects for Pollutant Dispersion in Street Canyons Using OpenFOAM

Turbulence and dispersion below and above the interface of the internal and the external boundary layers

Role of Inflow Turbulence and Surrounding Buildings on Large Eddy Simulations of Urban Wind Energy

Contact Info

Product

Resources

About