Abstract
The rapid deployment of the offshore wind turbine technology has brought more requirements for remote turbine health monitoring especially for blade health conditions. The trailing edge cracking (TEC) is often the early stage blade health issue which leads to more serious problems and even crash of wind turbine. In response to this cracking issue, this paper presents aero-acoustic noise modeling analysis of the blade airfoil section with and without cracking of typical 3 millimeter (mm) gap in the trailing edge and a comparative study between the simulation and semi-empirical model for the calculation aero acoustic characteristics (AACs) of airfoil TEC noise, and description a new acoustical sensor detection technology of blade TEC. The IEEE P2400 standard will be utilized to complete the acoustical signal calculation for rotating sound source and compared with other existing measured acoustical signals from on-site microphone. Several simulations are presented to test and validate the proposed model and analysis methods, demonstrating this research work cannot only analyze the AACs of the blade TEC detection, but will also contribute the complete wind turbine blade health monitoring technologies.
Highlights
Technology advances in the design of wind turbine and cleaning energy continues to increase demand have led to more and more companies invest in the large wind turbine
The semi-empirical model with fast calculation speed is used to find out several parameters that are more sensitive to the influence of blade trailing edge noise and total noise
The computational fluid dynamics (CFD) simulation environment: the basic configuration of the computer is 64-bit Windows 10 professional, 64-cores of Intel Gold Xeon, 256G random access memory, the Fluent software release 16.0, running calculation mode is MPI, and 32 cores are operated in parallel
Summary
Technology advances in the design of wind turbine and cleaning energy continues to increase demand have led to more and more companies invest in the large wind turbine. Hughes et al employ the Lighthill’s [13] acoustic approaches, an unstructured mesh and large eddy simulation (LES) to analyze the TE noise [14]; Luo et al [15], comparing study between three-dimensional vortex dynamics and aeroacoustics characteristics and wind-tunnel experiment results; Wasala et al [16] analyze the main aerodynamic noise of the WTs under different angle of attack (AOA) conditions In these papers [17]–[22], aero- dynamics acoustical-based blade analysis methods are proposed by different models such as LES, direct numerical simulation (DNS), Reynolds averaged Navier Stokes. The present research work focus on the aerodynamics noise analysis of a type of blade failure often occurs, that is TEC, and the aims to study the change of aerodynamic noise when blade failure occurs The advantage of this innovation method is not expensive and can be much effective detection approach when the advanced acoustical signal processing algorithm is developed.
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