Modeling of Aerodynamically Generated Noise From Wind Turbines

Zhu, Weijun; Heilskov, Nicolai F.; Shen, Wen Zhong; Sørensen, Jens Nørkær

doi:10.1115/1.2035700

Cited by 85 publications

(72 citation statements)

References 10 publications

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“…However, the trend continues to remain the same for all octave band frequencies which is lower in upwind and downwind directions and higher in cross wind directions. This behavior is in contrast to the high and low frequency directivity pattern [3,5,21] observed where sound pressure levels are lower in cross wind receiver positions. It must be noted that receiver heights and distance between the source and receiver are kept constant throughout for qualitative reasons.…”

Section: Mach Number and Rotor Rpmcontrasting

confidence: 40%

“…At 10% of radius (R), the Mach number is least and at 95% of radius the Mach number is highest. The inflow noise magnitude is insignificant for low Mach number flows compared to trailing edge noise [9,15,21] at high frequency. For a wind turbine, when the blades move past the tower, the reduction in relative velocity occurs due to presence of tower.…”

Section: Mach Number and Rotor Rpmmentioning

confidence: 99%

See 1 more Smart Citation

Turbulent Inflow Noise Prediction from Wind Turbine Blades

Bhargava¹

2017

IOSR JMCE

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Section: Mach Number and Rotor Rpmcontrasting

confidence: 40%

Section: Mach Number and Rotor Rpmmentioning

confidence: 99%

Turbulent Inflow Noise Prediction from Wind Turbine Blades

Bhargava¹

2017

IOSR JMCE

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“…The model determines the surface pressure fluctuations using the airfoil's lift response and the turbulent energy spectrum normal to the blade and these fluctuations are then propagated to the far-field as sound. It uses a large aspect-ratio, thin airfoil approximation, and while corrections for airfoil shape, thickness and backscattering have been developed they are not yet widely implemented (Moriarty et al 2005, Roger & Moreau 2005, Zhu et al 2005. Predicted and experimental spectrum differ by less than 6dB for frequencies below 1.5kHz, above this however the accuracy of the model appears to decline rapidly (Amiet 1975, Schlinker & Amiet 1983).…”

Section: Turbulent-inflow Noisementioning

confidence: 99%

A discussion of wind turbine interaction and stall contributions to wind farm noise

Laratro

Arjomandi

Kelso

et al. 2014

Journal of Wind Engineering and Industrial Aerodynamics

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Elsevier's Policy: An author may use the preprint for personal use, internal institutional use and for permitted scholarly posting. ... Elsevier's AAM Policy: Authors retain the right to use the accepted author manuscript for personal use, internal institutional use and for permitted scholarly posting provided that these are not for purposes of commercial use or systematic distribution. Elsevier believes that individual authors should be able to distribute their AAMs for their personal voluntary needs and interests, e.g. posting to their websites or their institution's repository, e-mailing to colleagues. However, our policies differ regarding the systematic aggregation or distribution of AAMs to ensure the sustainability of the journals to which AAMs are submitted. Therefore, deposit in, or posting to, subject-oriented or centralized repositories (such as PubMed Central), or institutional repositories with systematic posting mandates is permitted only under specific agreements between Elsevier and the repository, agency or institution, and only consistent with the publisher's policies concerning such repositories. Voluntary posting of AAMs in the arXiv subject repository is permitted. ... Highlights-Rotor-wake interaction plays a role in wind farm noise -More wake data needs to be collected -Dynamic stall noise needs to be characterised AbstractWind farms have recently been reported to produce a noise signature that is described as possessing a "thumping" quality. Measurements of these signatures are limited and their effects are debated but their effect on public opinion and complaints make them a concern for researchers in this field. Proposed reasons for these noise signatures include amplitude modulation, interference patterns and wake-rotor interaction. This paper discusses these effects and concludes that wake-rotor interaction plays a role by causing variations in turbulent-inflow noise and dynamic stall. The current state of research into stall noise and wind turbine wake structure is also reviewed and it is concluded that the available information and collected data on wind turbine wake are insufficient to determine how strong this role is. More information on the velocity and turbulence fields in the wake of horizontal-axis wind turbines as well as a characterisation of the noise produced by an airfoil experiencing dynamic stall is required in order to make a full assessment of rotor-wake contributions to wind farm noise.2

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“…Figure 1 shows that it has a good lift to drag ratio but is likely to produce less power than the SG6043. The noise analysis is that used by Clifton-Smith (2010) which was based on the semi-empirical formulation of Zhu et al (2005). This objective function will not be described in detail as it is not used in this study.…”

Section: Introductionmentioning

confidence: 99%

Multi-dimensional optimization of small wind turbine blades

Sessarego

Wood

2015

Renewables

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This paper describes a computer method to allow the design of small wind turbine blades for the multiple objectives of rapid starting, efficient power extraction, low noise, and minimal mass. For the sake of brevity, only the first two and the last objectives are considered in this paper. The optimization aimed to study a range of blade materials, from traditional fibreglass through sustainable alternatives to rapid prototyping plastic. Because starting performance depends on blade inertia, there is a complex interaction between the material properties and the aerodynamics. Example blades of 1.1 m length were designed to match a permanent magnet generator with a rated power of 750 W at 550 rpm. The materials considered were (a) traditional E-glass and polyester resin; (b) flax and polyester resin; (c) a typical rapid prototyping plastic, ABS-M30; and (d) timber. Except for (d), hollow blades were used to reduce the rotor inertia to help minimize starting time. Two airfoils are considered: the 10% thick SG6043 which has excellent lift:drag performance at low Reynolds number and the SD7062 whose extra thickness (14%) has some structural advantages, particularly for the weaker material (c). All blade materials gave feasible designs with material (d) the only one that required a blade shell thickness greater than the specified minimum value of 1% of the blade chord. Generally, the blade chord and twist increased as starting was given greater importance. In all cases, the associated increase in blade inertia was outweighed by the larger aerodynamic torque. Materials (a), (b), and (d) were better suited to the SG6043 airfoil whereas ABS-M30 benefitted from the thicker SD7062 section.

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Modeling of Aerodynamically Generated Noise From Wind Turbines

Cited by 85 publications

References 10 publications

Turbulent Inflow Noise Prediction from Wind Turbine Blades

Turbulent Inflow Noise Prediction from Wind Turbine Blades

A discussion of wind turbine interaction and stall contributions to wind farm noise

Multi-dimensional optimization of small wind turbine blades

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