Open Access
MATEC Web Conf.
Volume 111, 2017
Fluids and Chemical Engineering Conference (FluidsChE 2017)
Article Number 01008
Number of page(s) 5
Section Advances in Fluids Flow and Mechanics
Published online 20 June 2017
  1. R. Teppner, B. Langensteiner, W. Meile, G. Brenn, and S. Kerschbaumer, Air change rates driven by the flow around and through a building storey with fully open or tilted windows: An experimental and numerical study, Energy and Buildings. 76:640–653 (2014). [Google Scholar]
  2. K. Niachou, S. Hassid, M. Santamouris, and I. Livada, Comparative monitoring of natural, hybrid and mechanical ventilation systems in urban canyons, Energy and Buildings. 37(5): 503–513. (2005). [Google Scholar]
  3. N.F.M. Kasim, S.A. Zaki, M.S.M Ali, N. Ikegaya, A.A Razak, Computational study on the influence of different opening position on wind-induced natural ventilation in urban building of cubical array, Procedia Engineering. 169:256–263 (2016). [Google Scholar]
  4. M. Ohba, K. Irie, and T. Kurabuchi, Study on airflow characteristic inside and outside a cross-ventilation model and ventilation flow rates using wind tunnel experiments, Journal of Wind Engineering and Industrial Aerodynamics. 89 (14-15): 1513–1524 (2001). [Google Scholar]
  5. B.E. Lee, M. Hussain, and B. Salman, A method for the assessment of the wind-induced natural ventilation forces acting on low rise building arrays, Building Services Engineering Research and Technology. 1(1): 35–48 (1980). [Google Scholar]
  6. P. Karava, T. Stathopoulos, and A. Athienitis, Airflow assessment in cross-ventilated buildings with operable façade elements, Building and Environment. 46(1): 266–279 (2011). [Google Scholar]
  7. J. Seifert, Y. Li, J. Axley, and M. Rösler, Calculation of wind-driven cross ventilation in buildings with large openings, Journal of Wind Engineering and Industrial Aerodynamics. 94(12): 925–947 (2006). [Google Scholar]
  8. J. O. P. Cheung, and C. H. Liu, CFD simulations of natural ventilation behavior in high-rise buildings in regular and staggered arrangements at various spacing. Energy and Buildings. 43(5): 1149–1158 (2011). [Google Scholar]
  9. S. A. Zaki, A. Hagishima, and J. Tanimoto, Experimental study of wind-induced ventilation in urban building of cube arrays with various layouts, Journal of Wind Engineering and Industrial Aerodynamics, 103: 31–40 (2012). [Google Scholar]
  10. A.F. Mohammad, S.A. Zaki, M.S.M Ali, H. Aya, A.A Razak, M. Shirakashi and N. Arai, Large eddy simulation of wind pressure distribution on heterogenous buildings in idealised urban models. 78: 3055–3060 (2015). [Google Scholar]
  11. J. Franke, A. Hellsten, H. Schlünzen, and B. Carissimo, Guideline for the CFD simulation of flows in the urban environment: COST Action 732 Quality Assurance and Improvement of Microscale Meteorological. 1–52 (2007). [Google Scholar]
  12. A. D. Ferreira, A. C. M. Sousa, and D. X. Viegas, Prediction of building interference effects on pedestrian level comfort, Journal of Wind Engineering and Industrial Aerodynamics. 90(4-5): 305–319 (2002). [Google Scholar]
  13. Q. Chen, Ventilation performance prediction for buildings: A method overview and recent applications, Building and Environments. 44(4): 848–858 (2009). [Google Scholar]
  14. N. F. M. Kasim, S. A. Zaki, M.S. Mat Ali, A.F. Mohammad and A. Abd Razak, A verification and validation study of CFD Simulation of wind-induced ventilation on building with single-sided opening, Applied Mechanics and Materials. 554: 696–700 (2014). [Google Scholar]
  15. Y. Tominaga and B. Blocken, Wind tunnel experiments on cross-ventilation flow of a generic building with contaminant dispersion in unsheltered and sheltered conditions, Building and Environment, 92:452–461 (2015). [Google Scholar]
  16. T. R. Oke, Street design and urban canopy layer climate, Energy and Buildings. 11(1-3): 103–113 (1998). [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.