Characterization of aerodynamic performance of wind-lens turbine using high-fidelity CFD simulations

Islam HASHEM, Aida A. HAFIZ, Mohamed H. MOHAMED

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PDF(16629 KB)
Front. Energy ›› 2022, Vol. 16 ›› Issue (4) : 661-682. DOI: 10.1007/s11708-020-0713-0
RESEARCH ARTICLE
RESEARCH ARTICLE

Characterization of aerodynamic performance of wind-lens turbine using high-fidelity CFD simulations

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Abstract

Wind-lens turbines (WLTs) exhibit the prospect of a higher output power and more suitability for urban areas in comparison to bare wind turbines. The wind-lens typically comprises a diffuser shroud coupled with a flange appended to the exit periphery of the shroud. Wind-lenses can boost the velocity of the incoming wind through the turbine rotor owing to the creation of a low-pressure zone downstream the flanged diffuser. In this paper, the aerodynamic performance of the wind-lens is computationally assessed using high-fidelity transient CFD simulations for shrouds with different profiles, aiming to assess the effect of change of some design parameters such as length, area ratio and flange height of the diffuser shroud on the power augmentation. The power coefficient (Cp) is calculated by solving the URANS equations with the aid of the SST k–ω model. Furthermore, comparisons with experimental data for validation are accomplished to prove that the proposed methodology could be able to precisely predict the aerodynamic behavior of the wind-lens turbine. The results affirm that wind-lens with cycloidal profile yield an augmentation of about 58% increase in power coefficient compared to bare wind turbine of the same rotor swept-area. It is also emphasized that diffusers (cycloid type) of small length could achieve a twice increase in power coefficient while maintaining large flange heights.

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Keywords

shroud / diffuser-augmented wind turbine (DAWT) / Betz limit / aerodynamics / computational fluid dynamics (CFD)

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Islam HASHEM, Aida A. HAFIZ, Mohamed H. MOHAMED. Characterization of aerodynamic performance of wind-lens turbine using high-fidelity CFD simulations. Front. Energy, 2022, 16(4): 661‒682 https://doi.org/10.1007/s11708-020-0713-0

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