title: Computational Acoustic Beamforming for Noise Source Identification for Small Wind Turbines.
abstract: This paper develops a computational acoustic beamforming (CAB) methodology for identification of sources of small wind turbine noise. This methodology is validated using the case of the NACA 0012 airfoil trailing edge noise. For this validation case, the predicted acoustic maps were in excellent conformance with the results of the measurements obtained from the acoustic beamforming experiment. Following this validation study, the CAB methodology was applied to the identification of noise sources generated by a commercial small wind turbine. The simulated acoustic maps revealed that the blade tower interaction and the wind turbine nacelle were the two primary mechanisms for sound generation for this small wind turbine at frequencies between 100 and 630 Hz.
authors.affiliation: Department of Mechanical and Mechatronics Engineering, University of Waterloo, Waterloo, ON, Canada N2L 3G1.
authors.forename: Ping
authors.identifier: 0000-0001-5308-5616
authors.initials: P
authors.lastname: Ma
authors.affiliation: Department of Mechanical and Mechatronics Engineering, University of Waterloo, Waterloo, ON, Canada N2L 3G1.
authors.forename: Fue-Sang
authors.initials: FS
authors.lastname: Lien
authors.affiliation: Department of Mechanical and Mechatronics Engineering, University of Waterloo, Waterloo, ON, Canada N2L 3G1; Defence R&D Canada, Suffield Research Centre, Stn Main, P.O. Box 4000, Medicine Hat, AB, Canada T1A 8K6.
authors.forename: Eugene
authors.identifier: 0000-0002-6413-4329
authors.initials: E
authors.lastname: Yee