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The International                        UPDATED 28th May 2010
Journal of Ventilation
Published Quarterly www.ijovent.org.uk          Buy Journal  Online 

June 2010 Edition of the IJV now Published

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IJV Volume 5 No 1   Contents

 
Paper 10:  Volume 5 No.1 June 2006 Edition

Experimental Study on Predicting Wind-Driven Cross-Ventilation Flow Rates and Discharge Coefficients Based on the Local Dynamic Similarity Model

M. Ohba1, T. Goto1, T. Kurabuchi2, T. Endo2 and Y. Akamine3

1 Tokyo Polytechnic University, Japan
2 Tokyo University of Science, Japan
3 The University of Tokyo , Japan

Abstract

It is known that discharge coefficients vary with wind direction and opening position. The local dynamic similarity model of cross-ventilation can select discharge coefficients on this basis. This paper summarizes previous studies on various inflow opening conditions, and describes new studies on outflow openings and the evaluation of ventilation flow rates in two zones based on coupled simulation of the local dynamic similarity model and a simple network model.

Key words:  discharge coefficient, local dynamic similarity model, wind-driven cross-ventilation, ventilation flow rate, inflow opening, outflow opening, network model.

 

 

    

                                              

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