An Analysis of Energy Saving through Daily Calculation of Heat and Cool in the Northeast Area of Iran (Case: North, Razavi and South Khorasan Provinces)

Document Type : Original Article

Author

Assistant Prof. in Geography, Islamic Azad University, Yadegar-e-Imam Branch, Shahr-e-Ray, Iran

Abstract

Abstract
   The present analytical – statistical research was conducted aiming at calculation of CDD cold and HDD heat needs in a large part of northeast of Iran consisting of three provinces, namely North, Razavi and South Khorasan Provinces. To achieve research goals, the data of 11 synoptic stations at that zone was used during the statistical period 1986-2010. Date include two groups, namely climatic variables including temperature and humidity and geographical characteristics including length, width and height. Research method is based on statistical analyses in Excel and spss software packages. Considering the correlations between different variables of energy consumption need in different places of this area, type of climate was specified and its drawings were prepared and drawn by using ArcGis software. Climatic zoning and spatial analyses obtained from statistical calculations based on CDD cold and HDD heat needs were also conducted in ArcGis software and the corresponding drawings were prepared. Results obtained from statistical analyses showed that heat need increases 119 degree-day each 1,000 m increase of height. By the increase of each longitude and latitude, heat need increases 158 and 229 degree-day, respectively. In Khorasan, cold need has a negative relation with latitude and height and a positive relation with longitude. Correlation of CDD amounts with latitude, longitude and height is -0.319, 0.157 and -0.381, respectively. All of these correlations are significant in a level of 01.0. Moreover, precipitation and relative humidity have a strong and inverse relation with cold and heat needs. Most of the studied stations have an increasing trend in the amount of heat and cold needs. It is anticipated that if no change is made to the architectural model of this area proportional to climatic conditions, energy consumption level will significantly increase in the future.
 

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