DOI: 10.5593/sgem2017/42/S17.055


C. Nastac, M. Hornet, N. Iordan
Tuesday 12 September 2017 by Libadmin2017

References: 17th International Multidisciplinary Scientific GeoConference SGEM 2017, www.sgem.org, SGEM2017 Conference Proceedings, ISBN 978-619-7408-07-2 / ISSN 1314-2704, 29 June - 5 July, 2017, Vol. 17, Issue 42, 437-442 pp, DOI: 10.5593/sgem2017/42/S17.055


In this article the air infiltration through the envelope of a naturally ventilated building, located in Brașov (Romania) is studied. The paper presents the study of the factors which influence the air infiltration – wind effect and stack effect – and the modeling of air change rate (ACH) inside the building, by Multiple Linear Regression (MLR) modeling. It has been found that ΔT can be a good predictor of ACH because of its high physically correlation with this. Another conclusion of the study is that although wind speed influences ACH, it alone is not a good predictor for this, when studied period includes the nights (in this case, she has a negative correlation with ΔT). On the other hand, when the wind speed is high, its correlation with the ACH is quite good, so that the air flow due to wind can be the most important factor on a windy day. The main conclusion taken from this study is that the stack effect is the most important factor influencing the ACH inside the building.

Keywords: natural ventilation, wind effect, stack effect, modeling, air change rate.