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Implementation of advanced turbulence models for aerodynamic performance prediction of S818-NR airfoil in wind turbine applications

Ismatulla KhujaevInstitute of Mechanics and Seismic Stability of Structures named after M.T. Urazbaev, Uzbekistan Academy of Sciences, Tashkent 101325, Republic of UzbekistanMuzaffar HamdamovInstitute of Mechanics and Seismic Stability of Structures named after M.T. Urazbaev, Uzbekistan Academy of Sciences, Tashkent 101325, Republic of UzbekistanSardorbek MuzaffarovInstitute of Mechanics and Seismic Stability of Structures named after M.T. Urazbaev, Uzbekistan Academy of Sciences, Tashkent 101325, Republic of UzbekistanKhushvaqt MaratovInstitute of Mechanics and Seismic Stability of Structures named after M.T. Urazbaev, Uzbekistan Academy of Sciences, Tashkent 101325, Republic of Uzbekistan
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Аннотация

This research presents a comprehensive numerical analysis of the airflow around the S818-NR (subsonic) airfoil, designed for use as wind turbine blades. Numerical simulations were produced using the Finite Element Analysis (FEA) method with the COMSOL Multiphysics simulation software package to determine how subsonic airflow behaves around the S818-NR airfoil. To accurately simulate the turbulence in the airflow around wind turbines, the two-equation Shear Stress Transport (SST) k-omega (k-ω) model was used, it provides a good representation of near-wall and free-stream turbulent flow conditions. The analysis of aerodynamic characteristics enables the evaluation of key parameters, including pressure distribution along the airfoil surface, flow-field velocity components, and lift force coefficients, at different angles of attack. Furthermore, the aerodynamic performance and turbulence structure development of the S818-NR airfoil blade were compared across various Reynolds numbers to determine the influence of flow conditions on these parameters. The aerodynamic validation of the S818-NR airfoil using both FEA simulations and experimental data was within acceptable error limits. Additionally, another focus was on improving our method for determining the various numerical simulation parameters, including mesh refinement level, boundary condition formulation, solver configuration settings, and post-processing methods, to ultimately provide good, stable numerical results with low error throughout the entire numerical process. Ultimately, these findings provide essential insights for accurately predicting turbulent flow around airfoils. This enables developers to create blade designs that maximize aerodynamic performance, significantly improving the energy efficiency and overall reliability of the global renewable energy sector.

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