Abstract-The simplest well-known method that can be used to preliminarily estimate energy consumption of buildings is the degree-days method that usually requires the knowledge of either annual or monthly cooling and heating degree-days. In this paper, annual and monthly degree-days of 4 major cities in Thailand are investigated based on hourly temperature data in term of "degree-hours." Long-term hourly temperature data for 15 years (1994-2008) are used to calculate degree-hours at various base temperatures. The Sandia method is used to make annual hourly temperature dataset that can represent a typical hourly temperature year instead of using long-term average hourly temperature. The results show that Bangkok has the highest annual and monthly cooling degree-hours followed by Songkla, Ubonratchathani, and Chiangmai. In all cities, the number of cooling degree-hours is much more than one of heating degree-hours which implies that energy consumption of buildings is used for space cooling much more than space heating. Regression models are also developed for determining annual cooling and heating degree-hours at any base temperature.

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