Abstract




 
   

IJE TRANSACTIONS B: Applications Vol. 26, No. 11 (November 2013) 1385-1392   

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  NEW TECHNIQUE FOR GLOBAL SOLAR RADIATION FORECAST USING BEES ALGORITHM (RESEARCH NOTE)
 
H. Bagheri Tolabi, M. H. Moradi and F. Bagheri Tolabi
 
( Received: February 09, 2013 – Accepted in Revised Form: April 18, 2013 )
 
 

Abstract    Estimation of solar radiation is the most important parameter for various solar energy systems. Expensive devices are required to achieve the amount of solar radiation for a special region, therefore different models have been proposed by researchers to estimate the solar radiation that obviate using such devices. Nonlinear nature and excessive dependence on the meteorological parameters of these models, caused the researchers look for quickly and efficiently methods to solve them and find solar radiation for a specific region. In this paper, a new method based on the Angstrom model is introduced to estimate the monthly average daily global solar radiation on a horizontal surface by Bees Algorithm as a heuristic and population-based search technique implemented in MATLAB software. The experimental coefficients for Angstrom model are calculated for six different climate regions of Iran using proposed program written in the software environment. The comparison between results obtained from the proposed method and other techniques proves the efficiency and predominance of the new method to find the more accurate amount of solar radiation.

 

Keywords    Bees Algorithm, Global solar radiation, Experimental coefficients, Statistical regression techniques, Intelligent techniques

 

چکیده    برآورد میزان تابش خورشید مهم ترین پارامتر جهت طراحی انواع مختلف سیستم های خورشیدی است. جهت حصول مقدار دقیق تابش خورشیدی در یک منطقه خاص تجهیزات گرانی قیمت مورد نیاز است که تامین آن ها در تعداد اندکی از ایستگاه های سینوپتیک امکان پذیر است. در این راستا، مدل های مختلفی به منظور برآورد تابش خورشیدی توسط محققان پیشنهاد شده اند که لزوم بهره مندی از چنین دستگاه هایی را مرتفع می سازند. ماهیت غیرخطی، پیچده و وابستگی این مدل ها به پارامترهای مختلف هواشناسی یک منطقه جغرافیایی، محققان را بر آن داشته است که به دنبال راهکارهایی با دقت و سرعت بالا جهت حل این مدل ها و در نهایت، یافتن مقدار تابش برای هر منطقه خاص باشند. در این مقاله، یک روش جدید بر مبنای مدل انگسترم، با کمک الگوریتم جدید زنبورها، به عنوان یک الگوریتم اکتشافی و جستجوگر مبتنی بر جمعیت به منظور برآورد تابش کلی متوسط روزانه در ماه بر روی سطح افقی زمین معرفی شده است. ضرایب تجربی مدل آنگستروم برای شش منطقه آب و هوایی مختلف ایران با استفاده از برنامه پیشنهادی نوشته شده در محیط نرم افزارMATLAB ، محاسبه شده اند. مقایسه بین نتایج به دست آمده از روش پیشنهادی و روش های دیگر، برتری و کارایی بالای تکنیک جدید پیشنهادی را جهت تخمین تابش خورشیدی ثابت می کند.

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