Numerical prediction of the aerodynamics and aeroacoustics of a 25 kW horizontal axis wind turbine

Author:

Wang Wen-Yu1ORCID,Ferng Yuh-Ming2

Affiliation:

1. Department of Energy and Refrigerating Air-Conditioning Engineering, National Kaohsiung University of Science and Technology , Kaohsiung City, Taiwan

2. Department of Engineering and System Science, National Tsing Hua University , Hsinchu City , Taiwan

Abstract

Abstract In this study, low-frequency-based numerical methods were used to predict the noise radiating from rotating horizontal axis wind turbine (HAWT) blades. The flow parameters in the vicinity of blade surfaces, which are required for the Ffowcs Williams–Hawkings (FW–H) equation, were calculated using ANSYS FLUENT. The numerical model was verified against the experimental results from the National Renewable Energy Laboratory Phase VI wind turbine blades. The coupling analysis was integrated with four Reynolds-averaged Navier–Stokes turbulence models and FW–H equation under various boundary conditions. The standard k-ε, SST k-ω and V2f turbulence models produced results in agreement with the available experimental pressure coefficient and relative velocity distribution data in the flow fields. Under the verification of aeroacoustic results, the SST k-ω turbulence model was more consistent with the large eddy simulation data. An Institute of Nuclear Energy Research 25-kW HAWT was employed to predict noise frequency distribution at nine points on the tower on the windward and leeward sides under different operating conditions. Noise frequency distributions on the windward and leeward sides exhibited slight differences, whereas those on the left and right sides of the tower were different because of wind-shear influence. Under operating conditions, the decibels of the low-frequency noise at 0–200 Hz were ∼25–40 dB, and the noise frequency distributions on the windward and leeward sides were similar. With increasing distance, the decibel number of the monitoring point ∼25 m away dropped to 0 dB. For the noise prediction in Case 2 (wind speed = 12 m/s, pitches = 18°), the decibel number at 50 m was ∼25 dB and was ∼15 dB at 70 m. In Case 3 (wind speed = 18 m/s, pitches = 33°), the decibel number at 50 m was ∼30 dB and was ∼20 dB at 70 m. The peak amplitude of the noise was inversely proportional to the increasing distance from the tower but proportional to the wind and rotational speeds.

Funder

National Science and Technology Council

Atomic Energy Council

Publisher

Oxford University Press (OUP)

Reference23 articles.

1. Aero-acoustics noise assessment for wind-lens turbine;Hashem;Energy,2017

2. Aerofoil trailing-edge noise prediction models for wind turbine applications;Lau;Wind Energy: An International Journal for Progress and Applications in Wind Power Conversion Technology,2017

3. A study on the prediction of aerofoil trailing-edge noise for wind-turbine applications;Lau;Wind Energy: An International Journal for Progress and Applications in Wind Power Conversion Technology,2017

4. Validations and improvements of airfoil trailing-edge noise prediction models using detailed experimental data;Kamruzzaman;Wind Energy: An International Journal for Progress and Applications in Wind Power Conversion Technology,2012

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