Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/153732
Title: On the accuracy of uRANS and LES-Based CFD modeling approaches for rotor and wake aerodynamics of the (New) MEXICO wind turbine rotor phase-III
Authors: Purohit, Shantanu
Ijaz Fazil Syed Ahmed Kabir
Ng, Eddie Yin Kwee
Keywords: Engineering::Mechanical engineering
Issue Date: 2021
Source: Purohit, S., Ijaz Fazil Syed Ahmed Kabir & Ng, E. Y. K. (2021). On the accuracy of uRANS and LES-Based CFD modeling approaches for rotor and wake aerodynamics of the (New) MEXICO wind turbine rotor phase-III. Energies, 14(16), 5198-. https://dx.doi.org/10.3390/en14165198
Journal: Energies
Abstract: This work presents a comparison study of the CFD modeling with two different turbulence modeling approaches viz. unsteady RANS and LES, on a full-scale model of the (New) MEXICO rotor wind turbine. The main emphasis of the paper is on the rotor and wake aerodynamics. Simulations are carried out for the three wind speeds considered in the MEXICO experiment (10, 15, and 24 ms⁻¹ ). The results of uRANS and LES are compared against the (New) MEXICO experimental measurements of pressure distributions, axial, radial, and azimuth traverse of three velocity components. The near wake characteristics and vorticity are also analyzed. The pressure distribution results show that the LES can predict the onset of flow separation more accurately than uRANS when the turbine operates in the stall condition. The LES can compute the flow structures in wake significantly better than the uRANS for the stall condition of the blade. For the design condition, the mean absolute error in axial and radial velocity components along radial traverse is less than 10% for both the modeling approaches, whereas tangential component error is less than 2% from the LES approach. The results also reveal that wake recovers faster in the uRANS approach, requiring further research of the far wake region using both CFD modeling approaches.
URI: https://hdl.handle.net/10356/153732
ISSN: 1996-1073
DOI: 10.3390/en14165198
Rights: © 2021 The Author(s). Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:MAE Journal Articles

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