A rapid distortion theory-based airfoil turbulent inflow noise prediction method
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Date
2020xmlui.dri2xhtml.METS-1.0.item-sponsorship
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Turbulent inflow (TI) noise is reported as an important source of wind turbine (WT) broadband aeroacoustic noise, coexistent with many other sources (e.g., the airfoil self-noise). This manuscript intends to elucidate the discussion on TI noise by providing an alternative prediction method based on the rapidly distorted anisotropic turbulent velocity energy spectrum. A review on turbulent inflow noise prediction is presented, followed by the discussion on turbulence modeling and the derivation of a modified TI noise prediction expression, which allows a more detailed assessment of wind turbine noise sources. This can contribute for WT blade optimization, once it is implemented in design codes that consider noise as a constraint. Criteria for the turbulent velocity spectrum to be characterized by the rapid distortion theory (RDT) are established, and the validation methodology is carried through comparisons between the novel semi-empirical prediction method and data gathered from recent literature for a flat-plate airfoil with 3 % relative thickness and a NACA 0008 airfoil. The RDT-modified turbulent inflow noise prediction method shows better agreement with the measured data, when compared to predictions that adopt an isotropic model for the turbulent velocity energy spectrum, a condition only achieved in the absence of the airfoil in the test section of aeroacoustic facilities. © 2020, The Brazilian Society of Mechanical Sciences and Engineering.
- Airfoil noise
- Rapid distortion theory
- Turbulent inflow noise
- Turbulent velocity energy spectrum
- Wind turbine noise
- Acoustic noise
- Acoustic noise measurement
- Airfoils
- Forecasting
- Spectroscopy
- Wind turbines
- Aeroacoustic noise
- Noise prediction methods
- Prediction methods
- Relative thickness
- Turbulent velocity
- Validation methodologies
- Aeroacoustics
URI
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85087507555&doi=10.1007%2fs40430-020-02468-2&partnerID=40&md5=38d03b2f459a2e9b95d2255cb794b77dhttps://repositorio.maua.br/handle/MAUA/1358