Assessment through high-fidelity simulations of a low-fidelity noise prediction tool for a vertical-axis wind turbine

Brandetti, Livia; Avallone, Francesco; Tavernier, Delphine De; LeBlanc, Bruce; Ferreira, Carlos; Casalino, Damiano

doi:10.1016/j.jsv.2022.117486

Cited by 11 publications

(11 citation statements)

References 32 publications

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“…Here, 𝜔, 𝑅, and 𝑉 ∞ denote the rotational speed, rotor radius, and freestream velocity, respectively. The freestream velocity remains consistent at 4 m/s, aligning with the reference study by Brandetti et al [43], while variations to 𝜔 modify the TSR. The chord-based Reynolds number (𝑅𝑒 𝑐 ) is calculated to be 8.12 × 10 4 , based on the mean velocity the VAWT blade encounters in a single rotation.…”

Section: Flow Conditions and Grid Settingssupporting

confidence: 89%

“…The Lattice Boltzmann Method (LBM) is used to compute the flow field because it was shown to be accurate and efficient for similar low Reynolds number rotor applications [32,[43][44][45][46]. The commercial software 3DS Simulia PowerFLOW has been already validated for aerodynamic and aeroacoustic studies on rotors in general [47][48][49].…”

Section: B Flow Solver -Powerflowmentioning

confidence: 99%

“…The first configuration consists of only two blades, without struts and a central tower. The second configuration consists of two blades along with four struts (connected to each blade at 24% of the length of the blade) and a central tower (designated as Tower A), which is the same geometry used by Brandetti et al [43]. For validation, numerical findings from Brandetti et al [43] and experimental data from LeBlanc et al [63,64] are employed.…”

Section: A Wind Turbine Geometrymentioning

confidence: 99%

“…The second configuration consists of two blades along with four struts (connected to each blade at 24% of the length of the blade) and a central tower (designated as Tower A), which is the same geometry used by Brandetti et al [43]. For validation, numerical findings from Brandetti et al [43] and experimental data from LeBlanc et al [63,64] are employed. It is important to note that while the reference studies employ boundary layer (BL) trips at a 15% chord location, on both the pressure and suction sides of the blade, the current investigation does not use them.…”

Section: A Wind Turbine Geometrymentioning

confidence: 99%

“…Figure 7 shows phase-locked 𝐶 𝐹𝑛 variation for a single blade throughout its complete rotation. The figure shows the results from grid 3 of the present high-fidelity LBM setup, the mid-fidelity configuration, a reference high-fidelity simulation [43], and experiments [63,64]. The label 'Experiment -clean' pertains to results without any boundary layer (BL) trip, whereas 'Experiment -trip' is with the BL trip positioned at 15% chord, on both the pressure and suction sides of the airfoil, to force flow transition.…”

Section: B Aerodynamicsmentioning

confidence: 99%

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Effect of struts and central tower on aerodynamics and aeroacoustics of vertical axis wind turbines using mid-fidelity and high-fidelity methods

Shubham,

Avallone,

Brandetti

et al. 2024

AIAA SCITECH 2024 Forum

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This study investigates the impact of struts and a central tower on the aerodynamics and aeroacoustics of Darrieus Vertical Axis Wind Turbines (VAWTs) at chord-based Reynolds numbers of 8.12 × 10 4 . A 2-bladed H-Darrieus VAWT is used, featuring a 1.5m diameter, a solidity of 0.1 and a blade cross-section of symmetrical NACA 0021. The turbine design is kept simple and straight-bladed which is essential for isolating and analyzing the specific effects of struts and a tower. The high-fidelity Lattice Boltzmann Method (LBM) in PowerFLOW 6-2020 and the mid-fidelity Lifting Line Free Vortex Wake (LLFVW) method in QBlade 2.0 are employed, with the mid-fidelity method providing a faster analytical tool for insights into the turbine performance. Firstly, both the LLFVW (mid-fidelity) and LBM (high-fidelity) methods effectively capture the general trends observed in VAWT power performance. However, the former predicts mean thrust values that are approximately 10% higher, and mean torque values that are approximately 19% higher, in comparison to the latter. Subsequently, the former predicts lower streamwise wake velocities relative to those predicted by the latter. These differences increase in configurations that include struts and a tower (to 30% -31%). Secondly, the presence of struts and a tower leads to a reduction in both mean power (by 15% to 55%) and thrust (by 3% to 3.6%), with a further small decrease observed when doubling the tower diameter (power and thrust both by 0.5% to 3%). The struts predominantly affect the spanwise distribution of blade loading, while the tower impacts the azimuthal variation of blade loading. Additionally, the addition of struts and a tower reduces low-frequency noise (50-200 Hz) while increasing high-frequency noise (> 300 Hz). The observed decrease in mean blade loading results in reduced low-frequency noise, while the increase in high-frequency noise is ascribed to the increased intensity of BWI/BVI leading to higher unsteady loading fluctuations on blades.

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Section: Flow Conditions and Grid Settingssupporting

confidence: 89%