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2013 Vol.32, Issue 5
Time Domain Prediction and Analysis of Low Frequency Noise from Wind Turbine using Hybrid Computational Aeroacoustics (CAA) Method

복합 전산 공력음향학(CAA) 방법을 이용한 시간영역 풍력터빈 저주파수 소음 예측과 분석

Gwang-Se Lee
,
Cheolung† Cheong†
,
Hyung-Taek* Kim
,
Won-Ho* Joo
이 광세
,
정 철웅††
,
김 형택*
,
주 원호*
School of Mechanical Engineering, Pusan National University
부산대학교 기계공학부
*현대중공업
†교신저자. †Corresponding Author. 
30 September 2013. pp. 369-376
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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
Wind turbine
Low frequency noise
Lowson's acoustic analogy
Hybrid CAA method

Lowson의 음향상사식을 이용하여 시간영역에서 풍력터빈의 저주파수 소음을 예측 하였고, 관련 소음원들의 기여도를 분석하였다. 소음원으로서 날개-깃 상 평균 압력 분포를 구하기 위하여 XFOIL를 이용하였다. 이 때, 소음 예측 시 입력 값 인 유한 요소 상의 힘을 계산하기 위해 날개-깃을 여러 개의 요소로 분할하였다. 소음원을 힘 섭동항, 가속도항, 속도항으로 분리하여 주파수 기여도를 분석하였다. 끝으로, 예측 스펙트럼을 운용 중 인 풍력터빈에 대하여 측정한 저주파수 소음과 비교하였고, 그 결과 풍속 증가에 따라 힘 섭동 성분이 저주파수에서 크게 기여하는 것을 확인하였다.

키워드
풍력터빈
저주파 소음
Lowson 음향상사식
복합 CAA 방법
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Information
  • Publisher :The Acoustical Society of Korea
  • Publisher(Ko) :한국음향학회
  • Journal Title :The Journal of the Acoustical Society of Korea
  • Journal Title(Ko) :한국음향학회지
  • Volume : 32
  • No :5
  • Pages :369-376
  • Received Date : 2013-05-08
  • Revised Date : 2013-06-18
  • Accepted Date : 2013-06-20
  • DOI :https://doi.org/10.7776/ASK.2013.32.5.369
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