Brunel University Research Archive (BURA) >
Schools >
School of Engineering and Design >
School of Engineering and Design Research papers >

Please use this identifier to cite or link to this item:

Title: Quantifying the performance of a top-down natural ventilation Windcatcher™
Authors: Jones, BM
Kirby, R
Keywords: Natural ventilation
Analytic model
Publication Date: 2009
Publisher: Elsevier
Citation: Building and Environment. 44(9): 1925-1934, Sep 2009
Abstract: Estimating the performance of a natural ventilation system is very important if one is to correctly size the system for a particular application. Estimating the performance of a Windcatcher™ is complicated by the complex flow patterns that occur during the top-down ventilation process. Methods for predicting Windcatcher™ performance can currently be separated into simplistic analytic methods such as the envelope flow model and the use of complex and time consuming numerical methods such as CFD. This article presents an alternative semi-empirical approach in which a detailed analytic model makes use of experimental data in the literature in order to provide a fast but accurate estimate of Windcatcher™ performance. Included in the model are buoyancy effects, the effect of changes in wind speed and direction, as well as the treatment of sealed and unsealed rooms. The semi-empirical predictions obtained are shown to compare well with measured data and air buoyancy is shown only to be significant at relatively low flow velocities. In addition, a very simple algorithm is proposed for quantifying the air flow rates from a room induced by a Windcatcher™ in the absence of buoyancy effects.
URI: journaldescription.cws_home/296/description#description
ISSN: 0360-1323
Appears in Collections:School of Engineering and Design Research papers
Mechanical and Aerospace Engineering
Advanced Manufacturing and Enterprise Engineering (AMEE)

Files in This Item:

File Description SizeFormat
Quantifying the performance of a top-down natural ventilation Windcatcher™.pdf269.76 kBAdobe PDFView/Open

Items in BURA are protected by copyright, with all rights reserved, unless otherwise indicated.


Library (c) Brunel University.    Powered By: DSpace
Send us your
Feedback. Last Updated: September 14, 2010.
Managed by:
Hassan Bhuiyan