Numerical simulation and application of noise for high-power wind turbines with double blades based on large eddy simulation model

Jian Li, Ranhui Liu, Peng Yuan, Yanli Pei, Renjing Cao and Gang Wang

Renewable Energy, 2020, vol. 146, issue C, 1682-1690

Abstract: The rapid development of the wind turbine industry has brought with it increasingly serious environmental problems regarding noise generated by turbines. Therefore, wind turbine noise has become an important research topic to solve the larger issue of environmental noise. Using computational fluid dynamics software and a large eddy simulation turbulence model, the aerodynamic noise created by a 3.0-MW high-power double blade is calculated using the FW-H acoustic model. The discrete characteristics of the tip noise spectrum are determined according to the static pressure and flow field distribution of the double blade. Based on the IEC standard, a monitoring point is selected as the noise-testing index of the fan, and the sound pressure level at this point is determined. The most appropriate location to install the wind turbine is determined based on restrictions on the decibel levels for wind farms. This method can be used not only to study the aeroacoustic characteristics of the blade, but also for guidance regarding the suitable noise level in the installation area of the wind turbines.

Keywords: Noise; Double blade; Process parameter; Sound pressure level; Installation area; Computational fluid dynamics (CFD) (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S096014811931184X
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:renene:v:146:y:2020:i:c:p:1682-1690

DOI: 10.1016/j.renene.2019.07.164

Access Statistics for this article

Renewable Energy is currently edited by Soteris A. Kalogirou and Paul Christodoulides

More articles in Renewable Energy from Elsevier
Bibliographic data for series maintained by Catherine Liu ().