عنوان مقاله [English]
Degree day of climate a dynamic index that is used in a wide range of applications, including housing design, energy management, agriculture, transportation, and hundreds of other factors. Global warming and energy management on one hand and environmentally sustainable on the other hand requires a special look at the prospects for energy and manage it. This study aims to develop a structured model to calculate degree day annual temperature of the country is written. To this aim, the daily temperature data model EH5OM, during the period (2050-2015 AD), under the A1B scenario with a spatial resolution of 1.75 degree arc, to the extent Iran was loading. In the next step these data with spatial resolution 0/27 × 0/27 arc were simulated by the REGCM model. Heating degree days (HDD) and cooling (CDD) with the Standards Association of United States of America proposed threshold was calculated. Finally, the relationship between temperature and degree-day average daily temperature using multiple regression and cubic and quadratic equations were calculated. The results show a strong relationship between annual temperatures and degree days is established. The combination of standard deviation, latitude and altitude to increase accuracy of prediction models that show the spatial variation of these parameters and alignment of multilateral environmental factors. Heating degree days and cooling degree days in key difference with respect to the proposed models to predict the cooling, the average annual temperature is preferred to be second, but first power supply models for predicting annual average temperature (₸) higher Arjhyt . The correlation coefficient is significant and the mean annual temperature heating and cooling degree days there.