Evaluation of Prediction Accuracy by Local Dynamic Similarity Model for Cross-Ventilation Flow Rate

Masaaki Ohba, Takashi Kurabuchi, Tomoyuki Endo , Yoshihiko Akamine , Motoyasu Kamata
cross ventilation, modelling
Year:
2004
Bibliographic info:
RoomVent 2004, 9th international conference in University of Coimbra - Portugal, 5-8th september 2004, pp 6, 18 Fig., 1 Tab., 3 Ref.

The proposed local dynamic similarity model can select an adequate discharge coefficient to match the approaching flow angle. This is an improvement over the conventional orifice flow model where the discharge coefficient is set to a fixed value. The accuracy of predicting ventilation flow rates for an isolated cross-ventilation model is greatly improved when the discharge coefficients actually decrease with change of wind direction.

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