Aerodynamic noise prediction of a Horizontal Axis Wind Turbine using Improved Delayed Detached Eddy Simulation and acoustic analogy

Ghasemian, Masoud; Nejat, Amir

doi:10.1016/j.enconman.2015.04.011

Cited by 97 publications

(19 citation statements)

References 21 publications

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“…(1) Governing equation: the continuity equation and 3D steady Reynolds-averaged Navier-Stokes (RANS) equation are used; the convection term, diffusion term, and turbulent viscosity are all discretised by the second-order upwind scheme [28,29]. (2) Turbulence model: considering the complex internal flow dynamics of axial flow fans and the evolution of different vortices, including the passage vortex, tip leakage vortex, scraping vortex, and wakes [30][31][32][33][34], the Realisable k-ε model that effectively simulates the complex flow in the tip clearance and the rotational motion is applied [1,2,19,35].…”

Section: Methodsmentioning

confidence: 99%

Prediction of Performance of a Variable-Pitch Axial Fan with Forward-Skewed Blades

Ye¹,

Fan²,

Zhang³

et al. 2019

Energies

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For a single-stage variable-pitch axial fan, the aerodynamic performance and through flow with and without blade skewing are examined numerically. Simulated results show that the total pressure rise and efficiency increase by 2.99% and 0.16%, respectively, with the best forward-skewed angle of θ = 3° at the design conditions. At the blade pitch angles of β = 29° and 35°, the total pressure rises and efficiency of the fan with θ = 3.0° under the highest efficiency point change by −0.55%, −0.53% and 1.39%, 2.11%, respectively. At design and off-design conditions, the forward-skewed blades mitigate tip leakage and delay the emergence of separation flow at the blade root, these benefits are higher at the higher blade pitch angle. The θ = 3.0° forward skew effectively raises the stage performance of the impeller and guide vanes.

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Section: Methodsmentioning

confidence: 99%

Prediction of Performance of a Variable-Pitch Axial Fan with Forward-Skewed Blades

Ye¹,

Fan²,

Zhang³

et al. 2019

Energies

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“…As the wind industry has grown in prominence, interest in the study of wind turbine blade noise has as well, specifically the effect of the noise on nearby people . Studies have shown that blade noise is a main contributor to turbine noise, so designing low‐noise airfoils has been a focus of wind turbine research . With this, research regarding aeroacoustics of wind turbine blades has been primarily focused on the sound radiating from the blades to the ground .…”

Section: Introductionmentioning

confidence: 99%

“…23,24 Studies have shown that blade noise is a main contributor to turbine noise, so designing low-noise airfoils has been a focus of wind turbine research. 25,26 With this, research regarding aeroacoustics of wind turbine blades has been primarily focused on the sound radiating from the blades to the ground. 25,27 To date, there has not been a significant amount of research on the SPLs experienced in the internal cavity of turbine blades since there has not been a reason to be concerned with this.…”

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confidence: 99%

A computational investigation of airfoil aeroacoustics for structural health monitoring of wind turbine blades

et al. 2019

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A generalized computational methodology for reduced order acoustic-structural coupled modeling of the aeroacoustics of a wind turbine blade is presented. This methodology is used to investigate the acoustic pressure distribution in and around airfoils to guide the development of a passive damage detection approach for structural health monitoring of wind turbine blades for the first time. The output of a k − ε turbulence model computational fluid dynamics simulation is used to calculate simple acoustic sources on the basis of model tuning with published experimental data. The methodology is then applied to a computational case study of a 0.3048-m chord NACA 0012 airfoil with two internal cavities, each with a microphone placed along the shear web. Five damage locations and four damage sizes are studied and compared with the healthy baseline case for three strategically selected acoustic frequencies: 1, 5, and 10 kHz. In 22 of the 36 cases in which the front cavity is damaged, the front cavity microphone measures an increase in sound pressure level (SPL) above 3 dB, while rear cavity damage only results in six out of 24 cases with a 3-dB increase in the rear cavity. The 1-and 5-kHz cases show a more consistent increase in SPL than the 10-kHz case, illustrating the spectral dependency of the model. The case study shows how passive acoustic detection could be used to identify blade damage, while providing a template for application of the methodology to investigate the feasibility of passive detection for any specific turbine blade. K E Y W O R D Sacoustic sensing, aeroacoustics, flow noise, passive damage detection, structural health monitoring, wind turbine blade | INTRODUCTIONThe amount of electricity generated by wind farms in the United States has grown from 34.4 × 10 6 MWh (0.83% of generated electricity) in 2007 to 25.4 × 10 7 MWh (6.3% of generated electricity) in 2017. 1 One quarter of electric power capacity additions in the United States in 2017 were wind farms, and $11 billion was invested in wind power, making it the third fastest growing source of electricity behind solar and natural gas. 2 The worldwide capacity reached 539 GW in 2017, an increase of 52.5 GW from 2016, and is expected to surpass 840 GW by the end of 2022. 3 As the wind energy industry continues to grow, it becomes increasingly important to reduce the levelized cost of energy (LCOE) for wind energy. The operation and maintenance (O&M) costs are a significant contributor to the overall LCOE and can account for between 11% and 30% LCOE of an onshore wind project with higher projected values for offshore projects. 4-6 Consequently, the LCOE can be mitigated by reducing the O&M costs.

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“…These models have also been explained according to their computational cost requirements as well as applications. Ghasemian et al [21] applied Improved Delayed Detached Eddy turbulence model for simulating the flow around NREL phase VI wind turbine and Ffowcs William and Hawkings (FW-H) acoustic analogy to estimate the emitted noise at different wind speeds, as well as different distances in the range from 20 to 140 m. The influence of changing the distance of receiver and wind velocity on Overall Sound Pressure Level (OASPL) has been studied by comparison of the outputs. Despite many studies that investigated different aspects of CRWTs, very little attention has been paid to noise generated by these turbines.…”

Section: Introductionmentioning

confidence: 99%

Prediction of aeroacoustic performance of counter-rotating wind turbine by changing the rotational speed of front rotor

2019

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This study aims to investigate the aerodynamic and aeroacoustic performance of a counter-rotating wind turbine (CRWT) to define the effect of rotational wind speed of the front rotor on the sound pressure level of CRWT, using CFD simulation. For this purpose, NREL Phase VI wind turbine was considered as the single rotor, and validation of aerodynamic and aeroacoustic simulation has been carried out for the solver. Then, 3D simulation has been applied on single rotor and counter-rotating wind turbines to scrutinize the acoustic level of CRWT by changing the rotational speed of the front rotor. The unsteady flow simulation was carried out with the realizable k-ε Reynolds-averaged Navier-Stokes turbulence model, and the calculated flow field data were utilized using Ffowcs Williams-Hawkings model for predicting the acoustic level at receiver location, defined based on the IEC61400-11 standard. The results show that increasing the rotational wind speed of the upstream rotor leads to augmenting the noise emitted from CRWT. On the other hand, for tip speed ratios (TSR) ranging from 6 to 12, with increasing the front rotor RPM, the power coefficient of CRWT enhances, while for the TSR more than 12, an inverse behavior has been observed and power coefficient declines along with increasing front rotor's speed of revolution.

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Aerodynamic noise prediction of a Horizontal Axis Wind Turbine using Improved Delayed Detached Eddy Simulation and acoustic analogy

Cited by 97 publications

References 21 publications

Prediction of Performance of a Variable-Pitch Axial Fan with Forward-Skewed Blades

Prediction of Performance of a Variable-Pitch Axial Fan with Forward-Skewed Blades

A computational investigation of airfoil aeroacoustics for structural health monitoring of wind turbine blades

Prediction of aeroacoustic performance of counter-rotating wind turbine by changing the rotational speed of front rotor

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