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

The impact of weather variation on energy consumption in residential houses

“…A major problem in generating weather data with fine temporal rate is the substantial cost involved [15]. Even though there is a growing literature that collects and applies energy-weather data with fine temporal rate [16][17][18][19][20][21][22] only a few use such data to study the relationship between energy consumption and weather. For instance, Venegas et al [20] uses 10 min interval data to study the effect of weather on the energy performance (and energy production) of a solar cooling facility.…”

“…Their result indicates that wind speed and direction has the highest effect on the efficiency of energy generated. Coskun et al [21] and Oktay et al [22] generate cooling and heating degree hours based on outdoor temperature collected at an hourly interval.…”

Heating and Cooling Degree-Days Maps of Pakistan

“…In a similar study, Altan [3] [9] established HDDs and CDDs for 29 different cities of Romania using the data collected from the relevant weather stations. There are more similar studies [10][11][12][13][14][15][16][17][18][19][20] where HDDs and CDDs have been established for different parts of the world. However, there are plenty of regions/countries on the globe of which HDDs and CDDs have not been established yet and therefore, forecasting energy consumption of such regions is always a challenging task for their policy makers.…”

Modified Degree-Hour Calculation Method

“…However, simplified models and methods are still preferred in practice over these sophisticated building energy simulation programs. In Turkey, people are generally in favor of using less complicated methods [21].…”