A case study on the calibration of the k-ω SST (shear stress transport) turbulence model for small scale wind turbines designed with cambered and symmetrical airfoils

被引:56
作者
Costa Rocha, P. A. [2 ]
Barbosa Rocha, H. H. [1 ]
Moura Carneiro, F. O. [3 ]
Vieira da Silva, M. E. [2 ]
Freitas de Andrade, C. [1 ]
机构
[1] Univ Fed Ceara, Dept Mech Engn, Lab Aerodynam & Fluid Mech LAero, Campus Pici 715, BR-60440554 Fortaleza, Ceara, Brazil
[2] Solar Energy & Nat Gas Lab, Campus Pici,Bl 718, BR-60440554 Fortaleza, Ceara, Brazil
[3] Dept Mech Engn, Campus Petronio Portella, Teresina, PI, Brazil
关键词
Wind turbine aerodynamics; CFD; Field tests; HAWT; NACA airfoils; Turbulence model calibration; DETERMINING WEIBULL PARAMETERS; NUMERICAL-METHODS; NORTHEAST REGION; PART I; PERFORMANCE; BLADES; SIMULATION; OPENFOAM; BEHAVIOR; IMPACT;
D O I
10.1016/j.energy.2015.12.081
中图分类号
O414.1 [热力学];
学科分类号
摘要
This work presents a calibration study of the k-omega SST turbulence model for small scale wind turbines. To accomplish this, two different sets of blades were designed, built, tested and simulated. The first set applied the NACA 0012 and the second the NACA 4412 airfoil. The numerical investigation was taken using the CFD (computational fluid dynamics) code OpenFOAM and the turbulence model was calibrated testing several values for the beta*, including its canonical value, 0.09. The numerical calibration (the main contribution of this paper), extended previous results, which stated that different beta* values could calibrate the k-omega SST turbulence model for small wind turbines, mainly for the drag effects. The study broadened this conclusion, once the model was calibrated for a quite wide range of tip speed ratio values, from the turbine startup (lambda = 0) until its highest experimental value (lambda congruent to 8). As a secondary contribution, the results show that the model could be adjusted to simulate average field data, even though these being subject to its inherent variabilities. The main conclusion was that, for the sets of blades studied, the lowest RMSE value was obtained for beta* = 0.27. (C) 2015 Elsevier Ltd. All rights reserved.
引用
收藏
页码:144 / 150
页数:7
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