Development of an adaptive discharge coefficient to improve the accuracy of cross-ventilation airflow calculation in building energy simulation tools

Results show that the newly developed adaptive correlation successfully increases the accuracy of AFN model for the cross-ventilation modeling of unsheltered buildings as the relative errors for the airflow rate prediction of different building geometries are decreased up to 28% in comparison with the cases with constant discharge coefficient. Results also demonstrate the importance of considering the value of the local-surface wind pressure in the AFN model.