Evaluation of Wind Energy potential in the North-West of Iran by using Fuzzy Algorithm

Authors

• Batool Zeynali
• Ali Azimi

Abstract

One of important and successable new energy is wind energy that many developed and developing countries use wind energy to supply power. The aim of this reasearch is to evaluate wind energy potantial in North-West of Iran with fuzzy allgorithme. The data of this applied- analytical research were collected from Country Meteorological Organization form 2000 to 2008. Then, the collected wind speed frequency were based on the standard 4 meters per second and more that  were classified in Matlab software. FCM algorithm was used extensively in the regional frequency analysis. Also, WINROSE software was used to determine the prevailing wind and wind direction. The results indicated that Ardabil station (first cluster) among all stations in the study has the highest frequency of wind occurrence whit speed of 8 knot and more. The frequency of this cluster is 5183 in studied statistical period. Urmia and Parsabad stations (cluster 5) have the lowest frequency of wind occurrence with speed of 8 knot that the average of this cluster is 577 times in studied statistical period. This reasearch found that First, second and third clusters for use of wind energy were very suitable and the fourth and fifth clusters were unsuitable to use of wind energy.

Keywords

• North- West
• Wind energy
• Fuzzy clustering
• Direction
• Speed of wind

20.1001.1.22516735.1395.6.24.6.0

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