Large-scale forcing effects on wind flows in the urban canopy: Impact of inflow conditions

Ricci, Alessio; Kalkman, I Ivo; Blocken, Bje Bert; Burlando, Massimiliano; Freda, Andrea; Repetto, Maria Pia

doi:10.1016/j.scs.2018.08.012

Cited by 19 publications

(13 citation statements)

References 63 publications

(81 reference statements)

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“…Nevertheless, the remarkable accuracy of results suggests that close to high-rise buildings the flow is only influenced by the building and its features, meaning that turbulence at the inflow only has a marginal effect on the assessment of the flow field where of interest. 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

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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.

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Section: Introductionmentioning

confidence: 99%

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

et al. 2020

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“…Such change of surface roughness regulates or even restructures local meteorological conditions, i.e., cumulative urban heat from wildness to urban areas. Quite some work in this direction has been carried out by Ricci et al [4][5][6] CFD simulations and full-scale measurements. The authors have confirmed and proven how the surface roughness, the large-scale forcing (inflow conditions) and local scale forcing (e.g., buildings) can strongly affect the wind effects inside an urban environment.…”

Section: Introductionmentioning

confidence: 99%

Impacts of Building Features on the Cooling Effect of Vegetation in Community-Based MicroClimate: Recognition, Measurement and Simulation from a Case Study of Beijing

Chen

Zhang

Shi

et al. 2020

IJERPH

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Due to the accumulation of heat, the urban environment and human health are threatened. Land surface cover has effects on the thermal environment; nevertheless, the effects of land surface features and spatial patterns remain poorly known in a community-based microclimate. This study quantified and verified the impacts of normalized difference vegetation index (NDVI) on land surface temperature (LST) (K, the slope of the trend line of a linear regression between NDVI and LST) in different building density by using building outline and Landsat 8 satellite imagery. Comparing the cooling effect and distribution of vegetation showed that the vegetative cover had a cooling effect on LST, characterized by synchronous change, and building density had a significant impact on the cooling effect of vegetation. Through identification and simulation, it was found that the key factor is the wind speed between the buildings because, in different building densities, the wind speed was different, and studies had shown that when the building density was between 0.35 and 0.50, the wind speed between buildings was higher, resulting in a better cooling effect of vegetation. This conclusion has important reference significance for urban planning and mitigating the impact of the thermal environment on human health.

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“…These wind profiles are assumed to be uniform in the span-wise direction, for a measured reference wind direction (as in the present case for α = 240°), at the inlet face of the computational domain. This assumption was investigated by Ricci et al (2018) where CFD simulations on the same reduced-scale urban model (i.e. Quartiere La Venezia) were performed taking into account span-wise gradients in the ABL profiles measured in the WT upstream of the urban model.…”

Section: Introductionmentioning

confidence: 99%

“…Quartiere La Venezia) were performed taking into account span-wise gradients in the ABL profiles measured in the WT upstream of the urban model. The results of Ricci et al (2018) showed that using profiles with span-wise gradients as well as slightly different formulations to define the inlet turbulent kinetic energy (k) and turbulence dissipation rate (ε) profiles lead to comparable numerical results within the UCL. This means that at the building scale there is no need to use more accurate boundary conditions because they are as effective as the simpler ones.…”

Section: Introductionmentioning

confidence: 99%

Simulation of urban boundary and canopy layer flows in port areas induced by different marine boundary layer inflow conditions

Ricci

Burlando

Repetto

et al. 2019

Science of The Total Environment

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Large-scale forcing effects on wind flows in the urban canopy: Impact of inflow conditions

Cited by 19 publications

References 63 publications

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

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

Impacts of Building Features on the Cooling Effect of Vegetation in Community-Based MicroClimate: Recognition, Measurement and Simulation from a Case Study of Beijing

Simulation of urban boundary and canopy layer flows in port areas induced by different marine boundary layer inflow conditions

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