کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
4926685 | 1431595 | 2017 | 22 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Wind energy potential and economic assessment of four locations in Sistan and Balouchestan province in Iran
ترجمه فارسی عنوان
پتانسیل انرژی و ارزیابی اقتصادی چهار مکان در استان سیستان و بلوچستان ایران
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی انرژی
انرژی های تجدید پذیر، توسعه پایدار و محیط زیست
چکیده انگلیسی
Utilization of wind turbines to produce energy has been increasing in recent years, due to technology advancement, cost stability and environmental issues. In this paper, the wind resource and economic feasibility have been studied to avoid investment risk in cites of Zabol, Zahak, Zahedan and Mirjaveh in Sistan and Balouchestan province of Iran. The Weibull distribution function has been applied to estimate the wind power and energy density, using meteorological data. Determination of coefficient, root mean square error, mean bias error and mean bias absolute error are also calculated to ensure the accuracy of the statistical analysis of fitted distribution. Windographer software has been employed to investigate the prevailing wind direction. The estimated annual energy densities are 2495.36, 2355.69, 1265.24 and 1214.01Â kWh/m2/year, and the annual mean power densities are 284.97, 269.02, 144.49 and 138.64Â W/m2. It is found that Zabol and Zahedan are suitable for large scale power generation. The results indicate that using DW61-900Â kW wind turbines are highly beneficial for Zabol and Zahak, while for Zahedan, DW52/54-250Â kW wind turbine is more appropriate for generating electricity. However, Mirjaveh is suitable for off-grid applications. It should be noted that in this analysis, monetary units are presented in 2016 U.S. dollar.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Renewable Energy - Volume 109, August 2017, Pages 646-667
Journal: Renewable Energy - Volume 109, August 2017, Pages 646-667
نویسندگان
Farivar Fazelpour, Elin Markarian, Nima Soltani,