امکان سنجی پتانسیل انرژی بادی در شمال غرب ایران با استفاده از الگوریتم فازی

نویسندگان

1 استادیار گروه جغرافیا و اقلیم شناسی، دانشگاه محقق اردبیلی، اردبیل، ایران

2 کارشناس ارشد جغرافیا و اقلیم شناسی، دانشگاه محقق اردبیلی، اردبیل، ایران

چکیده

      یکی از مهم­ترین و قابل دسترس ترین انرژی­های نو، انرژی بادی می­باشد که بیشتر کشورهای توسعه یافته و در حال توسعه از این انرژی برای تأمین منابع نیروی خود بهره می­گیرند. هدف از این تحقیق، امکان سنجی پتانسیل انرژی بادی در شمال غرب ایران با استفاده از الگوریتم فازی می­باشد. روش تحقیق از نوع کاربردی – تحلیلی می­باشد. بدین منظور اطلاعات داده­های باد (سرعت و جهت باد) برای ایستگاه­های شمال غرب ایران در دوره آماری 2000 الی 2008 از سازمان هواشناسی کشور اخذ گردید. سپس فراوانی سرعت باد ایستگاه­های مورد مطالعه بر اساس معیار 4 متر در ثانیه و بیشتر بدست آمد. این داده­ها بر اساس روش خوشه­بندی فازی(FCM)، در محیط نرم­افزار Matlab طبقه­بندی گردیدند. الگوریتم FCM کاربرد وسیعی در تحلیل فراوانی ناحیه­ای دارد. همچنین با استفاده از نرم­افزار WINROSE باد غالب و جهت باد ایستگاه­های مورد مطالعه تهیه گردید. نتایج این تحقیق نشان داد که ایستگاه اردبیل (خوشه اول)، در بین تمام ایستگاه­های مورد مطالعه دارای بیشترین فراوانی وقوع باد با سرعت 4 متر در ثانیه است که مقدار آن، 5183 بار تکرار در طول دوره آماری مورد مطالعه می­باشد. ایستگاه­های ارومیه و پارس­آباد (خوشه پنجم)، دارای حداقل فراوانی وقوع باد با سرعت 4 با مقدار میانگین 577 بار تکرار در طول دوره­ی آماری مورد مطالعه می­باشند. با توجه به نتایج بدست آمده می­توان گفت که خوشه اول، دوم و سوم برای استفاده از انرژی باد به صورت توربین بادی مقرون به صرفه می باشد و خوشه چهارم و پنجم برای استفاده از این انرژی نامناسب هستند.

کلیدواژه‌ها

عنوان مقاله [English]

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

نویسندگان [English]

  • Batool Zeynali 1
  • Ali Azimi 2
چکیده [English]

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.

کلیدواژه‌ها [English]

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

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سابقه مقاله

  • تاریخ دریافت: 26 بهمن 1395
  • تاریخ پذیرش: 26 بهمن 1395

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