A new approach for predicting cooling degree-hours and energy requirements in buildings

This study develops a novel approach to predict the outdoor temperature fluctuations during daytime as a dimensionless temperature variation coefficient. In this approach, the daily outdoor temperature trend is established by using the daily maximum and minimum temperatures. A case study is performed to calculate the cooling degree-hours for 58 cities in different geographical regions of Turkey as a case study for the present approach. The results are then compared with the published data. The other advantage of this approach is that it allows the prediction of monthly cooling degree-hours for buildings.

► Novel approach to predict cooling degree-hours and outdoor temperature distributions for any month.
► Useful tool for building HVAC calculations.
► Development of dimensionless parameters.
► Important for building performance assessment.