Abstract
Wind turbine noise is one of the major obstacles for the widespread use of wind energy. Noise tone can greatly increase the annoyance factor and the negative impact on human health. Noise annoyance caused by wind turbines has become an emerging problem in recent years, due to the rapid increase in number of wind turbines, triggered by sustainable energy goals set forward at the national and international level. Up to now, not all aspects of the generation, propagation and perception of wind turbine noise are well understood. For a modern large wind turbine, aerodynamic noise from the blades is generally considered to be the dominant noise source, provided that mechanical noise is adequately eliminated. The sources of aerodynamic noise can be divided into tonal noise, inflow turbulence noise, and airfoil self-noise. Many analytical and experimental acoustical studies performed the wind turbines. Since the wind turbine noise level analyzing by numerical methods or computational fluid dynamics (CFD) could be very challenging and time consuming, soft computing techniques are preferred. To estimate noise level of wind turbine, this paper constructed a process which simulates the wind turbine noise levels in regard to wind speed and sound frequency with adaptive neuro-fuzzy inference system (ANFIS). This intelligent estimator is implemented using Matlab/Simulink and the performances are investigated. The simulation results presented in this paper show the effectiveness of the developed method.
Highlights
In recent years, the generations of power by wind energy are obtaining a considerable attention as an alternative to conventional fossil, coal or nuclear sources
Two membership functions are used for each input (InputMF) as it shows in Figure 4 in the second layer of the adaptive neuro-fuzzy inference system (ANFIS) structure
This paper presents an ANFIS technique for the wind turbine noise level predictions
Summary
The generations of power by wind energy are obtaining a considerable attention as an alternative to conventional fossil, coal or nuclear sources. The introduction of micro wind turbines in built-up areas has been limited due to a number of issues such as low wind speeds, high turbulence and noise issues. Noise emissions have proved to be one of the major technical barriers to the introduction of micro wind turbines within the built environment. The noise aerodynamically generated from blades is still important issue and it is a barrier to the development of the wind turbine industry. The aerodynamic noise emitted from the wind turbine blades can be broadly classified as discrete frequency (tonal) noise and broadband noise. The tonal noise is generally low frequency and due to the disturbance in the flow caused by the movement of rotating blade. The broadband noise is higher frequency and due to various types of turbulent flow interaction with the blades
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