Comparison and Evaluation of Two Prediction Models for Speed, Power and Energy Density of Wind in Karaj County, Iran
- سال انتشار: 1395
- محل انتشار: دهمین کنگره ملی مهندسی ماشین های کشاورزی (بیوسیستم) و مکانیزاسیون ایران
- کد COI اختصاصی: NCAMEM10_199
- زبان مقاله: انگلیسی
- تعداد مشاهده: 731
نویسندگان
MSc Student, Department of Biosystems Engineering, University of Tehran
Faculty Member, Department of Biosystems Engineering, University of Tehran
Faculty Member, Department of Biosystems Engineering, University of Tehran
چکیده
Prospects of wind energy usage in Iran is promising and by using this type of energy, more saving in petroleum products can be achieved. Due to high populated city of Karaj, this study is conducted for evaluation of wind energy potential as electricity power production source. In this study, using measured wind speed data, at height of 10 meters above the ground surface, from 2004 to 2015, wind energy potential using two methods (Weibull & Rayleigh distribution functions) has been investigated. The highest values of wind speed, power and energy has been seen in 2009. Maximum wind speed in Karaj, reported as 3.08 m/s. annual shape factor and scale factor, regarding Weibull distribution function were 1.78-3.36 and 2.36-3.63, respectively. Mean annual power density value and predicted power density via Weibull and Rayleigh distribution function were 30, 27 and 36 W/m2 respectively, and corresponding energy density for those quantities were 261.5, 239.2 and 302.49 J/m2, respectively. After evaluating these factors regarding power density and wind energy, it was concluded that data fitting via Weibull distribution was partly better than Rayleigh distribution function. Coefficient of determination of Rayleigh distribution function was more than the corresponding value in Weibull counterpart, so it suggest that, Rayleigh distribution has more precise results in this regard. The RMSE values of Weibull and Rayleigh were 0.018 and 0.013 and R2 values of Weibull and Rayleigh were 0.95 and 0.97 in Karaj for years 2004-2015. Also, wind rose charts in Karaj, for 2004-2015, show that the most prevalent wind direction is NW (North-West). Based on the derived results of power density and wind energy, wind energy is not suitable for large-scale wind application in this surveyed area. In this area, wind potential can be used for non-connected grids, such as local usage for battery charging and water pumping.کلیدواژه ها
Wind power, Wind energy, Weibull distribution function, Rayleigh distribution function, Karajمقالات مرتبط جدید
- مقایسه درصد ترکیب تاج پوشش کلاسهای خوشخوراکی در سه رویشگاه مرتعی چهاردانگه ساری
- تاثیر تغییرات اقلیم بر اشتغال در بخش کشاورزی: مروری تحلیلی
- Land reform in some developing countries: A review
- شناسایی ژنوتیپهای امیدبخش گندم نان با استفاده از تحلیل روابط بین صفات و تجزیه خوشه ای
- Harnessing Renewable Energy for Environmental Sustainability: The Role of Wind Power in Carbon Reduction
اطلاعات بیشتر در مورد COI
COI مخفف عبارت CIVILICA Object Identifier به معنی شناسه سیویلیکا برای اسناد است. COI کدی است که مطابق محل انتشار، به مقالات کنفرانسها و ژورنالهای داخل کشور به هنگام نمایه سازی بر روی پایگاه استنادی سیویلیکا اختصاص می یابد.
کد COI به مفهوم کد ملی اسناد نمایه شده در سیویلیکا است و کدی یکتا و ثابت است و به همین دلیل همواره قابلیت استناد و پیگیری دارد.