Experimental validation of a wind turbine turbulent inflow noise prediction code

2016 ◽  
Author(s):  
Steven Buck ◽  
Stefan Oerlemans ◽  
Scott Palo
Keyword(s):  
Wind Turbine ◽  
Experimental Validation ◽  
Noise Prediction ◽  
Turbulent Inflow

Experimental Validation of a Wind Turbine Turbulent Inflow Noise Prediction Code

AIAA Journal ◽  
2018 ◽  
Vol 56 (4) ◽  
pp. 1495-1506 ◽  
Author(s):  
Steven Buck ◽  
Stefan Oerlemans ◽  
Scott Palo
Keyword(s):  
Wind Turbine ◽  
Experimental Validation ◽  
Noise Prediction ◽  
Turbulent Inflow

Selection of a leading edge noise prediction method for PNoise

2018 ◽  
pp. 214-223
Author(s):  
AM Faria ◽  
MM Pimenta ◽  
JY Saab Jr. ◽  
S Rodriguez
Keyword(s):  
Wind Turbine ◽  
Turbine Blades ◽  
Prediction Method ◽  
Leading Edge ◽  
Wind Farms ◽  
Broadband Noise ◽  
Turbulence Energy ◽  
Noise Prediction ◽  
Migration Routes ◽  
Turbulent Inflow

Wind energy expansion is worldwide followed by various limitations, i.e. land availability, the NIMBY (not in my backyard) attitude, interference on birds migration routes and so on. This undeniable expansion is pushing wind farms near populated areas throughout the years, where noise regulation is more stringent. That demands solutions for the wind turbine (WT) industry, in order to produce quieter WT units. Focusing in the subject of airfoil noise prediction, it can help the assessment and design of quieter wind turbine blades. Considering the airfoil noise as a composition of many sound sources, and in light of the fact that the main noise production mechanisms are the airfoil self-noise and the turbulent inflow (TI) noise, this work is concentrated on the latter. TI noise is classified as an interaction noise, produced by the turbulent inflow, incident on the airfoil leading edge (LE). Theoretical and semi-empirical methods for the TI noise prediction are already available, based on Amiet’s broadband noise theory. Analysis of many TI noise prediction methods is provided by this work in the literature review, as well as the turbulence energy spectrum modeling. This is then followed by comparison of the most reliable TI noise methodologies, qualitatively and quantitatively, with the error estimation, compared to the Ffowcs Williams-Hawkings solution for computational aeroacoustics. Basis for integration of airfoil inflow noise prediction into a wind turbine noise prediction code is the final goal of this work.

Simulations technique for the design of a vertical axis wind turbine device with experimental validation

2013 ◽  
Vol 111 ◽  
pp. 1195-1203 ◽  
Author(s):  
S. Rolland ◽  
W. Newton ◽  
A.J. Williams ◽  
T.N. Croft ◽  
D.T. Gethin ◽  
...  
Keyword(s):  
Wind Turbine ◽  
Experimental Validation ◽  
Vertical Axis ◽  
Vertical Axis Wind Turbine

scholarly journals Actuator Line Simulation of Wake of Wind Turbine Operating in Turbulent Inflow

2007 ◽  
Vol 75 ◽  
pp. 012063 ◽  
Author(s):  
Niels Troldborg ◽  
Jens N Sørensen ◽  
Robert Mikkelsen
Keyword(s):  
Wind Turbine ◽  
Turbulent Inflow

Experimental Validation of a Wave Elevation Observer on a Floating Wind Turbine Model

2021 ◽  
Author(s):  
Simone Di Carlo ◽  
Alessandro Fontanella ◽  
Alan Facchinetti ◽  
Sara Muggiasca ◽  
Federico Taruffi ◽  
...  
Keyword(s):  
Wind Turbine ◽  
Experimental Validation ◽  
Control Strategies ◽  
Estimation Procedure ◽  
Floating Platform ◽  
Experimental Campaign ◽  
Wave Elevation ◽  
Floating Wind Turbine ◽  
Wave Basin ◽  
Turbine Model

Abstract The scope of this work is to investigate if and how it is possible to estimate the incident wave elevation on a floating wind turbine, with the purpose of improved control strategies. A Kalman based algorithm is proposed, which receives as input the rigid motions of the floater and estimates the wave elevation hitting the floating platform. The structure of the observer is described and the estimator is tested numerically on the OC3-Hywind platform coupled with the 5-MW reference wind turbine from NREL. Limitations to the estimation procedure are discussed. Finally the algorithm is tested on experimental data coming from a wave basin experimental campaign on a floating wind turbine model. The algorithm still needs improvements, but results are encouraging in the development of this technology.

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