Aeroacoustic noise prediction for wind turbines using Large Eddy Simulation

Wasala, Sahan; Storey, Rupert; Norris, Stuart; Cater, John

doi:10.1016/j.jweia.2015.05.011

Cited by 56 publications

(30 citation statements)

References 23 publications

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“…For each circle, the maximum OASPL could be obtained in the y-axis direction. The noise emission pattern of the HAHT investigated in this paper had similar characteristics to the results of Wasala et al [35], concentrating on horizontal axis wind turbines, which is one typical kind of rotating machinery in the region of renewable energy. It can be seen that the OASPL did not change linearly with the observing distance, which implied that doubling the noise observing distance did not result in halving the OASPL.…”

Section: Results and Discussion Of Noise Characteristicssupporting

confidence: 81%

Noise Characteristics Analysis of the Horizontal Axis Hydrokinetic Turbine Designed for Unmanned Underwater Mooring Platforms

Dang

Mao

Song

et al. 2019

JMSE

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Operating horizontal axis hydrokinetic turbine (HAHT) generates noise affecting the ocean environment adversely. Therefore, it is essential to determine the noise characteristics of such types of HAHT, as large-scale turbine sets would release more noise pollution to the ocean. Like other rotating machinery, the hydrodynamic noise generated by the rotating turbine has been known to be the most important noise source. In the present work, the transient turbulent flow field of the HAHT is obtained by incompressible large eddy simulation, thereafter, the Ffowcs Williams and Hawkings acoustic analogy formulation is carried out to predict the noise generated from the pressure fluctuations of the blade surface. The coefficient of power is compared with the experimental results, with a good agreement being achieved. It is seen from the pressure contours that the 80% span of the blade has the most severe pressure fluctuations, which concentrate on the region of leading the edge of the airfoil and the suction surface of the airfoil. Then, the noise characteristics around a single turbine are systematically studied, in accordance with the results of the flow field. The noise characteristics around the whole turbine are also investigated to determine the directionality of the noise emission of HAHT.

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Section: Results and Discussion Of Noise Characteristicssupporting

confidence: 81%

Noise Characteristics Analysis of the Horizontal Axis Hydrokinetic Turbine Designed for Unmanned Underwater Mooring Platforms

Dang

Mao

Song

et al. 2019

JMSE

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“…The work concluded that the integration with CFD enhanced the prediction accuracy when compared with analytic methods. While Ghasemian and Nejat [46] and Wasala et al [47] also employed CFD but using LES to predict the flow field in combination with FW-H or Ffowcs Williams and Hawkings method to predict the generated noise by a wind turbine at different tip speed ratios.…”

Section: Micro-small Scalementioning

confidence: 99%

A Review of Numerical Modelling of Multi-Scale Wind Turbines and Their Environment

et al. 2018

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Abstract:Global demand for energy continues to increase rapidly, due to economic and population growth, especially for increasing market economies. These lead to challenges and worries about energy security that can increase as more users need more energy resources. Also, higher consumption of fossil fuels leads to more greenhouse gas emissions, which contribute to global warming. Moreover, there are still more people without access to electricity. Several studies have reported that one of the rapidly developing source of power is wind energy and with declining costs due to technology and manufacturing advancements and concerns over energy security and environmental issues, the trend is predicted to continue. As a result, tools and methods to simulate and optimize wind energy technologies must also continue to advance. This paper reviews the most recently published works in Computational Fluid Dynamic (CFD) simulations of micro to small wind turbines, building integrated with wind turbines, and wind turbines installed in wind farms. In addition, the existing limitations and complications included with the wind energy system modelling were examined and issues that needs further work are highlighted. This study investigated the current development of CFD modelling of wind energy systems. Studies on aerodynamic interaction among the atmospheric boundary layer or wind farm terrain and the turbine rotor and their wakes were investigated. Furthermore, CFD combined with other tools such as blade element momentum were examined. Keywords:Computational Fluid Dynamic (CFD); micro to small wind turbine; building integrated with wind turbine; wind farm; aerodynamic interaction; wind energy systems; atmospheric boundary layer (ABL); blade element momentum (BEM)

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“…J.R. Hughes et al employ the Lighthill's [13] acoustic approaches, an unstructured mesh and large eddy simulation (LES) to analyze the TE noise [14]; K. Luo et al [15], comparing study between three-dimensional vortex dynamics and aeroacoustics characteristics and windtunnel experiment results; S.H. Wasala et al [16] analyze the main aerodynamic noise of the WTs under different angle of attack (AOA) conditions. In these papers [17][18][19][20][21][22], aerodynamics acoustical-based blade analysis methods are proposed by different models such as LES, direct numerical simulation (DNS), Reynolds averaged Navier Stokes simulation (RANS).…”

Section: Introductionmentioning

confidence: 99%

“…(i) A novel TEC problem model is proposed, focus on aero-acoustic noise modeling analysis and measurement methods of the blade airfoil section with and without cracking of typical 3mm gap in the trailing edge, and simulating the computational airfoil of the rotation section of the 75% span [16] of the WT blade. (ii) A method for analyzing TEC issues by comparing simulation with empirical results is also proposed.…”

Section: Introductionmentioning

confidence: 99%

Modeling and Measurement Study for Wind Turbine Blade Trailing Edge Cracking Acoustical Detection

et al. 2020

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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. INDEX TERMS Aero acoustic noise, acoustical detection, semi-empirical model, CFD simulation, wind turbine blade cracking. NOMENCLATURE A nomenclature list, if needed, should precede the Introduction. , Components along the x, y direction , Fluid density and pressure '' Homogeneous parts in the sub-grid scale mesh)* Rate of strain M Mach number of air relative to the blade The chord of blade section Angle of attack (AOA) , The pressure sides The suction sides Pe Effective sound pressure value Pref Reference sound pressure value Superscripts − Filtered variable. The derivative of the variable YAN LIU received the Ph.D. degree from the North China Electric Power University, Beijing, China. His research interests include optimization analysis of wind field and aerodynamics. YU XUE received his PhD degree from University of Minnesota, Aerospace Engineering and Mechanics, in 1994. He currently is the professor at Ocean University of China, Measurement and Control Department, he was ex-chief specialist of wind energy research at CDT Renewable Energy Research Institute, and he was the chief editor for IEEE 2400 "Wind Turbine Aero Noise Measurement Technique".

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Aeroacoustic noise prediction for wind turbines using Large Eddy Simulation

Cited by 56 publications

References 23 publications

Noise Characteristics Analysis of the Horizontal Axis Hydrokinetic Turbine Designed for Unmanned Underwater Mooring Platforms

Noise Characteristics Analysis of the Horizontal Axis Hydrokinetic Turbine Designed for Unmanned Underwater Mooring Platforms

A Review of Numerical Modelling of Multi-Scale Wind Turbines and Their Environment

Modeling and Measurement Study for Wind Turbine Blade Trailing Edge Cracking Acoustical Detection

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