کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
4926661 | 1431595 | 2017 | 9 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Experimental study of turbulence intensity influence on wind turbine performance and wake recovery in a low-speed wind tunnel
ترجمه فارسی عنوان
بررسی تجربی اثر شدت تلاطم بر عملکرد توربین بادی و بهبودی بیداری در یک تونل باد کم سرعت
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کلمات کلیدی
سیستم شبکه فعال توربین بادی، ضریب توان، لایه مرزی اتمسفری، بازیابی باد سرعت سنجی تصاویر ذرات،
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی انرژی
انرژی های تجدید پذیر، توسعه پایدار و محیط زیست
چکیده انگلیسی
Regarding the issue of the unmatched Reynolds number for down-scaled wind turbine tests, an experimental study of a single model wind turbine and an array with two turbines was performed under laminar and turbulent inflow conditions. Turbulent inflow was created using an active grid system installed between the contraction and test-section of the wind tunnel; the maximum turbulence intensity can reach 20%. Velocity fields upstream and in the wake of the turbine were measured using a 2D-PIV system. In the experiments with a single turbine, it was found that the power coefficient was strongly dependent on the inflow turbulence intensity, because turbulence influenced the flow separation in the suction side of the wind turbine blade. This was confirmed by PIV results taken under laminar and turbulent inflow conditions. For the wind turbine array case, the efficiency of both turbines was highly related to the turbulence intensity in the inflow. Furthermore, inflow turbulence intensity also influenced the wake recovery. The power coefficient of the wind turbines was similar to design value under controlled inflow turbulence. In conclusion, despite the unmatched Reynolds number, a realistic flow similar to the field can be reached using turbulent inflow created by an active grid system.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Renewable Energy - Volume 109, August 2017, Pages 363-371
Journal: Renewable Energy - Volume 109, August 2017, Pages 363-371
نویسندگان
Miguel Talavera, Fangjun Shu,