• Transactions of the Korean Society of Mechanical Engineers A
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• v.38 no.3
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• pp.269-274
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• 2014

In this study, low noise designs for a Savonius wind turbine were numerically investigated. As was reported in our previous study, the harmonic components with a fundamental frequency higher than the BPF were identified as being dominant in the noise spectrum of a Savonius wind turbine, and these components were a result of vortex shedding. On a basis of this observation, an S-shaped blade tip is proposed as a means of reducing the noise generated by small vertical(Savonius) wind turbines. This blade induces phase differences in the shedding vortices from the blades, and thus reduces the noise from the wind turbine. The aerodynamic noise characteristics of the conventional and "S-shaped" Savonius turbines were investigated by using the Hybrid CAA method where the flow field around the turbine is computed using the CFD techniques and the radiated noise are predicted by applying acoustic analogy to the computed flow field data. The degree of noise reduction resulting from the proposed design and its reduction mechanism were confirmed by comparing the predicted noise spectrum of these turbines and the flow characteristics around them.

• 한국신재생에너지학회:학술대회논문집
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• 2009.06a
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• pp.508-511
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• 2009

풍력터빈 블레이드에서 발생하는 공력소음원의 위치 특성을 파악하기 위해 마이크로폰 어레이를 사용하여 소음원 풍동시험을 수행하였다. 풍동시험은 KARI 중형 아음속풍동에서 수행되었으며, 소음원의 위치파악을 위해 시간영역 회전체 빔포밍기법을 사용하였다. 기존 시간영역 회전체 빔포밍 기법의 경우 시험데이터 해석에 많은 시간이 소요되나, 본 논문에서는 원통형 좌표계에서 회전각 격자간격과 해석기간 간격 사이의 상관조건을 도입하여 데이터 해석시간을 기존 방법 대비 1/5로 단축하였다. 시험결과 나타난 주파수에 따른 블레이드 공력소음원의 위치 특성은 2kHz 이하 대역에서는 블레이드 반경 80% 부근에 주소음원이 위치하며, 4kHz 이상 대역에서는 블레이드 끝단 부근에 주 소음원이 위치하고 있다.

• Journal of Advanced Marine Engineering and Technology
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• v.33 no.8
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• pp.1170-1179
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• 2009

The purpose of this work is to predict the low frequency aero-acoustic noise generated from the horizontal axis wind turbine, NREL Phase VI for the whole operating conditions of various wind speeds using large eddy simulation and Ffowcs-Williams and Hawkings model provided in the commercial code, FLUENT. Because there is no experimental data about wind turbine noise, we first of all compared aerodynamic performance such as shaft torque and power with experimentally measured value. Performance results show a good agreement with experimental data within about 0.8%. As the wind speed increases, the overall sound pressure level and the sound pressure level by the quadrupole and dipole source show a increasing tendency. Also, sound pressure level is proportional to $r^{-2}$ in the near field and $r^{-1}$ in the far field according to the increase of distance from the center of hub of wind turbine. According to 2 times increase of distance, sound pressure level is reduced by about 6dB.

• The Journal of the Acoustical Society of Korea
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• v.32 no.5
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• pp.369-376
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• 2013

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.

• Transactions of the Korean Society for Noise and Vibration Engineering
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• v.23 no.6
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• pp.502-511
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• 2013

Noise performance of small wind turbines is critical since these are generally installed near the community. In this study, flow noise characteristics of Savonius wind turbines are numerically investigated. Flow field around the turbine are computed by solving unsteady RANS equation using CFD techniques and the radiated noise are predicted by applying acoustic analogy to the computed flow data. Parametric study is then carried out to investigate the effects of operating conditions and geometric design factors of the Savonius wind turbine. Tonal noise components with higher harmonic frequency than the BPF are identified in the predicted noise spectra from a Savonius wind turbine. The end-plates and helical blades are shown to reduce overall noise levels. These results can be used to design low-noise Savonius wind turbines.

• The Magazine of the Society of Air-Conditioning and Refrigerating Engineers of Korea
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• v.38 no.7
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• pp.29-38
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• 2009

지난 20년간 급속한 발전을 통하여 회전 블레이드의 직경이 126 m, 나셀까지의 높이가 약 130 m에 이르는 6,000 kW의 용량을 가지는 풍력발전기가 개발되었다. 세계적으로 풍력발전의 필요성과 중요성이 인식되어 2008년 현재 약 120,000 MW의 설치 용량을 기록하고 있다. 풍력터빈(wind turbine)과 그 부품의 기계적인 성능평가의 종류와 방법은 많은 사람들의 관심인 것으로 판단한다. 우선 풍력터빈을 구성하는 주요 핵심부품은 블레이드, 증속장치, 발전기 등이며, 세부 구성 부품으로 허브, 핏치와 요베어링, 주축베어링, 타워 등이 있다. 주요핵심 부품인 블레이드, 증속기, 발전기 등의 성능평가가 중요한 이슈이다. 또한 모든 구성품을 조립하여 초기의 설계사양에 따라서 제조되고 최종성능이 발휘되는지 여부를 현장시험을 통하여 성능평가과정을 거치게 되는데 이 과정은 풍력터빈의 성능평가라고 하며 주요 평가대상은 출력성능(power performance), 소음(noise), 하중(load), 전력품질(power quality) 등 4가지 항목을 집중적으로 측정하여 개발된 풍력터빈의 전반적인 성능을 평가하게 된다. 본 투고에서는 핵심부품인 블레이드, 증속기, 발전기에 대한 시험기술과 풍력터빈의 성능평가 항목인 4개 측정 항목에 대하여 기술하였다.

• 한국신재생에너지학회:학술대회논문집
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• 2008.05a
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• pp.315-318
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• 2008

Numerical calculation for the 1MW class horizontal axis wind turbine blade has been carried out to estimate the magnitude between discrete noise and random noise. Farassat formula 1A was adopted to get the discrete noise signal, and blade element momentum theory was used to obtain the distribution of the aerodynamic data along the blade span. Fukano's approach was also adopted to calculate the unsteady aerodynamic random noise due to the Karman vortex generation at the trailing edge of the wind turbine blade. From the noise prediction for the 1MW class horizontal axis wind turbine, the frequency band of the discrete noise lies in the infrasound region, and that of the random noise lies in the audible band region.

• Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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• 2013.04a
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• pp.166-171
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• 2013

In this study, low noise designs of a Savonius wind turbines are numerically investigated. From a previous study, it was found that the high harmonic components whose fundamental frequency is higher than the BPF were found to be dominant in noise spectrum of a Savonius wind turbine. On a basis of this observation, S-shaped blade tip is proposed as a low design factors that decrease wind turbine noise by inducing phase differences in vortex shedding. The conventional Savonius and S-shaped turbines are investigated using Hybrid CAA method where flow field around the turbine are computed using CFD techniques and the radiated noise are predicted by applying acoustic analogy to the computed flow data. Noise reductions by these design factors are confirmed by comparing the predicted noise levels from these turbines.

• Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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• 2010.10a
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• pp.120-121
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• 2010

• Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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• 2014.04a
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• pp.98-99
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• 2014