Intercomparison of wind-driven rain deposition models based on two case studies with full-scale measurements

Blocken, Bje Bert; Abuku, Masaru; Nore, Kristine; Briggen, PM Petra; Schellen, HL Henk; Thue, Jan Vincent; Roels, Staf; Carmeliet, JE Jan

doi:10.1016/j.jweia.2010.11.004

Cited by 43 publications

(24 citation statements)

References 38 publications

(69 reference statements)

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“…• Semi-empirical: with theoretical basis, but with coefficients partially determined by measurements [16,17]; • Numerical or computational fluid dynamics methods (CFD): based on fluid dynamics [18].…”

Section: Wind-driven Rainmentioning

confidence: 99%

Wind-driven rain incidence parameters obtained by hygrothermal simulation

et al. 2016

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The association of rain and wind composes wind-driven rain (WDR), and its incidence may be crucial to the emergence of anomalies on the facades of buildings. Moisture from the WDR can influence the humidification and drying process, therefore the durability and hygrothermal performance are conditioned by the amount of incident water. The quantification of WDR can be an indispensable tool for understanding its related phenomena and the service life of buildings. The most widely used methods of quantification are the semi-empirical, with theoretical basis, but coefficients partially determined from measurements. These methods may take into account the building exposure conditions related to the envelope, solar orientation, height of the building, and other parameters. In this context, in order to contribute to the studies on quantification of WDR, the purpose of this paper is to apply hygrothermal simulation software WUFI Ò on quantification of WDR focusing on buildings degradation of Brasília-Brazil. For the simulation it was used a Typical Meteorological Year file with the wind and precipitation measurement data indispensable for simulation. The quantification of incidence of WDR considered the orientations North, Northeast, East, Southeast, South, Southwest, West, and Northwest. The use of semi-empirical WUFI Ò quantification method allowed finding the highest values and consequently critical orientations North, Northwest, and Northeast, moreover, this results showed the relation with the degradation of facades in these orientations. WUFI proved to be an easy, fast and efficient method of WDR quantification, without hiding seasonal weather effects.

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Section: Wind-driven Rainmentioning

confidence: 99%

Wind-driven rain incidence parameters obtained by hygrothermal simulation

et al. 2016

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“…In all papers identified, the typical catch ratio values presented are given in prevailing wind direction. Also, selected buildings for research study are idealized or located in an isolated area [25,27,42]. This again will obviously increase the amount of rain getting to a facade as it is not protected by any obstacles.…”

Section: Resultsmentioning

confidence: 99%

“…10). This point was debated by Blocken et al [27] and Blocken et al [43] but more studies seem necessary to optimize obstruction factor definition in the Norm. Note that trees and buildings are treated the same way in terms of obstruction factor.…”

Section: S Coutu Et Al / Building and Environment XXXmentioning

confidence: 99%

Modelling wind-driven rain on buildings in urbanized area using 3-D GIS and LiDAR datasets

Coutu

Wyrsch

Rossi

et al. 2013

Building and Environment

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“…WDR loads on buildings strongly depends on the micro-scale wind flow around them. There are several techniques for assessing WDR on buildings [22,23], where in many cases WDR on buildings is simulated with the help of the computational fluid dynamics (CFD); based on the extension of steady-state simulation technique into the time domain [5] or the Eulerian multiphase (EM) model, which allows predicting WDR on all the surfaces of the calculation domain, while decreasing the calculation time significantly compared to Lagrangian particle tracking (LPT) [24,25]. WDR simulations are performed for a single building [24] or a group of buildings [26,27], while several wind directions can be taken into account [27].…”

Section: Introductionmentioning

confidence: 99%