Eventos Anais de eventos
COBEM 2021
26th International Congress of Mechanical Engineering
THE QUASI-3D NOISE PREDICTION IMPLEMENTATION FOR PNOISE/QBLADE SOFTWARE
Submission Author:
Sara Rodriguez , SP , Brazil
Co-Authors:
Sara Rodriguez, Joseph Youssif Saab Junior, Alexandre Martuscelli Faria, Marcos Pimenta
Presenter: Sara Rodriguez
doi://10.26678/ABCM.COBEM2021.COB2021-0336
Abstract
The Qblade is an open-source wind turbine design software, with a significant number of downloads, some improvements are being implemented in order to broaden the capacity of the embedded aeroacoustic module, PNoise, which originally consisted of a 2D airfoil trailing-edge noise prediction tool. The inflow noise is in a final implementation state. The laminar-boundary-layer-vortex shedding, trailing-edge-bluntness-vortex-shedding, and the tip vortex formation self-noises are being added to the tool, plus inflow noise modeling and a quasi-3D tool for full rotor noise estimation. The upgrade provides to the user the approximate sound pressure levels and related spectra for all self-noise sources plus inflow noise, for 2D and 3D prediction in a steady flow. The current models available for the calculations are the modified-BPM, with boundary layer data provided by the XFLR5 integrated code for the self-noise sources and the Von Kármán and the modified-Lowson model by the inclusion of the Rapid Distortion Theory model. The quasi 3D method has a recursive nature and it relies on the same underlying boundary layer thickness hybrid calculation of the 2D calculation, but with local flow conditions adjusted to the local Reynolds and Mach number of each spanwise section of the blade as calculated by the Blade Element Momentum method. The method has a resulting accuracy limited by the combined uncertainties inherent to each method, plus the uncertainty deriving from the use of a finite number of blade sections and a discrete number of angular positions of the blade rotating along the azimuthal plane. This paper describes the methodology for both blade and rotor noise prediction and presents the new features that are being implemented in the PNoise module.
Keywords
Wind Turbine Noise, Quasi 3D, QBlade, PNoise, self-noise, BPM
