2015
DOI: 10.1016/j.jweia.2015.09.007
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CFD simulation of wind flow over natural complex terrain: Case study with validation by field measurements for Ria de Ferrol, Galicia, Spain

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Cited by 137 publications
(74 citation statements)
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“…Most of the studies related to PLW environment tackle the problem based on discrete point analysis [17,24,81]. In this method, wind speed is evaluated at discrete locations.…”
Section: Assessment Methods For Pedestrian Level Wind Environmentmentioning
confidence: 99%
“…Most of the studies related to PLW environment tackle the problem based on discrete point analysis [17,24,81]. In this method, wind speed is evaluated at discrete locations.…”
Section: Assessment Methods For Pedestrian Level Wind Environmentmentioning
confidence: 99%
“…If the height H of this independent hill, ridge or cliff is over twice the height of the terrain within 3.22 km of the windward side, and is > 4.5 m (spot C) or 18 m (spot A or B), and this independent hill, ridge or cliff does not have any barriers of similar height within 100H or 3.22 km (the smaller value between the two is used) of the windward side, and H/L ≥ 0.2, then K can be calculated according to Equation (2). If the site conditions and locations of buildings and other structures do not meet all the conditions specified in Section 2, then K = 1.…”
Section: Cfd Simulation: Computational Settings and Parametersmentioning
confidence: 99%
“…Over the past 50 years, computational fluid dynamics (CFD) has been developed as a powerful tool for wind field evaluation (Blocken et al, 2015). Compared to wind tunnel experiments, CFD can better render the complex flow field phenomena.…”
Section: Introductionmentioning
confidence: 99%
“…However, only considering the FAI of a building is insufficient for considering the surface roughness length and then estimating the urban microclimate, including wind and thermal conditions. In term of CFD approach, wind and thermal conditions can be estimated within urban areas using ENVI-met [15,16] and Wind Perfect [17][18][19], for example, based on an initial meteorological dataset. However, wind conditions are difficult to determine owing to turbulence within the boundary layer.…”
Section: Introductionmentioning
confidence: 99%