Journal article
Combined wind tunnel and CFD analysis for indoor airflow prediction of wind-driven cross ventilation
Building and environment, v 60, pp 12-23
01 Feb 2013
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
This study presents a method for predicting wind-induced cross ventilation using wind tunnel testing coupled with Computational Fluid Dynamics (CFD). First, in a boundary layer wind tunnel, facade pressures near openings of a test house were recorded for multiple incident wind angles using a 1:25 scale building model. The wind tunnel pressure data was then converted into appropriate boundary conditions for an indoor CFD airflow model of the test house. Both steady state and transient CFD simulations were conducted to capture averaged flow and instantaneous flow rates of the cross ventilation flow. The CFD simulation result was compared to the full scale experimental data from a previous study. The steady state result shows that it is possible for this combined wind tunnel-CFD method to predict the averaged cross ventilation through small openings adequately. Similarly, the transient result shows the fluctuation of the flow at the openings could be predicted at a frequency as high as 0.1 Hz. As many buildings design processes now include wind tunnel testing as a part of structural analysis, this proposed method could utilize the wind tunnel pressure data for assessments of a building's cross ventilation potential. (c) 2012 Elsevier Ltd. All rights reserved.
Metrics
Details
- Title
- Combined wind tunnel and CFD analysis for indoor airflow prediction of wind-driven cross ventilation
- Creators
- L. James Lo - The University of Texas at AustinDavid Banks - WindAtila Novoselac - The University of Texas at Austin
- Publication Details
- Building and environment, v 60, pp 12-23
- Publisher
- Elsevier
- Number of pages
- 12
- Grant note
- American Society of Heating Refrigeration and Air Conditioning Engineers (ASHRAE) Graduate Student Grant-in-Aid Award Indoor Environmental Science and Engineering-An Emerging Frontier DGE-0549428 / National Science Foundation IGERT Program (gs1)
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Civil, Architectural, and Environmental Engineering
- Web of Science ID
- WOS:000314734800002
- Scopus ID
- 2-s2.0-84870296931
- Other Identifier
- 991022020530704721
UN Sustainable Development Goals (SDGs)
This publication has contributed to the advancement of the following goals:
InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Web of Science research areas
- Construction & Building Technology
- Engineering, Civil
- Engineering, Environmental