TY - GEN
T1 - Uncertainties in numerical predictions and experimental characterization of wind farm noise
AU - Gauvreau, Benoit
AU - Alarcon, Albert
AU - Bianchetti, Simon
AU - Boittin, Regis
AU - Brendel, Laurent
AU - Cotté, Benjamin
AU - Gary, Vincent
AU - Guillaume, Gwenaël
AU - Junker, Fabrice
AU - Kayser, Bill
AU - Lefèvre, Hubert
AU - Litou, Guillaume
AU - Mascarenhas, David
AU - Ripolles, Jean
AU - Schmich-Yamane, Isabelle
AU - Écotière, David
N1 - Publisher Copyright:
© International Congress and Exposition on Noise Control Engineering, Internoise 2024.
PY - 2024/1/1
Y1 - 2024/1/1
N2 - Wind Turbine Noise (WTN) variability is often related to the influence of local micrometeorology as well as to space and time variations in the ground properties. Thus, the PIBE Project (2020-2024) aims to estimate these variabilities and their associated uncertainties. Its objective is to enable engineering companies or wind farm developers to estimate more accurately the risk of noise. In the WP2 of the PIBE project, 3 approaches are explored: (i) a NUMerical approach through the development of a metamodel, (ii) an EXPerimental approach through a major in-situ measurement campaign lasting more than 1 year, and (iii) a STATistical approach consisting in the evaluation of WTN variability. The NUM approach consists in sound emission calculation of each wind turbine using the Amiet's theory, and sound propagation calculation using a wide-angle Parabolic Equation (WAPE) modelling. The EXP part of the PIBE project has led to the development of a large database, accessible via a dedicated Shiny application. The last approach (STAT) has been carried out using both an open-access online tool called WindTUNE and an open-source tool based on Code_TYMPAN™M, namely Parametric Calculation Tool (PCT). The 3 approaches (NUM + EXP + STAT) are presented and the corresponding results are discussed.
AB - Wind Turbine Noise (WTN) variability is often related to the influence of local micrometeorology as well as to space and time variations in the ground properties. Thus, the PIBE Project (2020-2024) aims to estimate these variabilities and their associated uncertainties. Its objective is to enable engineering companies or wind farm developers to estimate more accurately the risk of noise. In the WP2 of the PIBE project, 3 approaches are explored: (i) a NUMerical approach through the development of a metamodel, (ii) an EXPerimental approach through a major in-situ measurement campaign lasting more than 1 year, and (iii) a STATistical approach consisting in the evaluation of WTN variability. The NUM approach consists in sound emission calculation of each wind turbine using the Amiet's theory, and sound propagation calculation using a wide-angle Parabolic Equation (WAPE) modelling. The EXP part of the PIBE project has led to the development of a large database, accessible via a dedicated Shiny application. The last approach (STAT) has been carried out using both an open-access online tool called WindTUNE and an open-source tool based on Code_TYMPAN™M, namely Parametric Calculation Tool (PCT). The 3 approaches (NUM + EXP + STAT) are presented and the corresponding results are discussed.
UR - https://www.scopus.com/pages/publications/105016189069
U2 - 10.3397/in_2024_4322
DO - 10.3397/in_2024_4322
M3 - Conference contribution
AN - SCOPUS:105016189069
T3 - 53rd International Congress and Exposition on Noise Control Engineering, Internoise 2024
SP - 9930
EP - 9939
BT - 53rd International Congress and Exposition on Noise Control Engineering, Internoise 2024
PB - Societe Francaise d'Acoustique
T2 - 53rd International Congress and Exposition on Noise Control Engineering, Internoise 2024
Y2 - 25 August 2024 through 29 August 2024
ER -