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ȋȌ
ҙԓʂॡİşćėॡҙ ইʂܼėغ
ۿսێۙțښێս܁ێۙțښێ࢘ێۙțښێ
ొ ߧ: LowsonۆڼॳԜԐ֩ںۋڌॠي֨ÂًٖقԴॄͳࢢҾۆ۹ܳࣷսՙڼںٚࠑॠٕČ, ěʹՙڼڙ˞ۆ
şيʪεқԵॠٕɰ. ՙڼڙڷͿԴǨÒ-ŧԜथŒؓͳқपεĵॠşڦॠيXFOILεۋڌॠٕɰ. ۋ˺, ՙڼ
ٚࠑ֨ۓͳÉۍڮॢڅՙԜۆ৪ںćԓॠşڦ३ǨÒ-ŧںي͠ÒۆڅՙͿқॣॠٕɰ. ՙڼڙں৪Ծʴ२, À՚ʪ२, ՚ʪ२ڷͿқνॠيܳࣷսşيʪεқԵॠٕɰ. ǚڷͿ, ٚࠑ֟घ࣡ͤںڏڌܼۍॄͳࢢҾقʂॠي
ࠑ܁ॢ۹ܳࣷսՙڼęҼİॠٕČ, ŔĀęॄ՚ݒÀق˰͆৪ԾʴՁқۋ۹ܳࣷսقԴࡾóşيॠəìںঝۍ ॠٕɰ.
ෑਕઘ: ॄͳࢢҾ, ۹ܳࣷՙڼ, Lowson ڼॳԜԐ֩, ҄०CAA ѓѪ
ABSTRACT: Using Lowson’s acoustic analogy, low frequency noise of a wind turbine (WT) is predicted in time domain and the noise sources contributing to the low frequency noise is analyzed. To compute averaged pressure distribution on blades of the WT as noise source, XFOIL is utilized. The blade source domain is divided into several segments along the span direction to compute force exerted on air surrounding the blade segments, which is used as input for noise prediction. The noise sources are decomposed into three terms of force fluctuation, acceleration and velocity terms and are analyzed to investigate each spectral contribution. Finally, predicted spectra are compared with measured low frequency noise spectrum of a wind turbine in operation. It is found that the force fluctuation component contributes strongly in low frequency range with increasing wind speed.
Keywords: W ind turbine, Low frequency noise, Lowson's acoustic analogy, Hybrid CAA method PACS numbers: 43.28. Ra