k-ω SST (shear stress transport) turbulence model calibration: A case study on a small scale horizontal axis wind turbine

被引:144
|
作者
Costa Rocha, P. A. [1 ]
Barbosa Rocha, H. H. [1 ]
Moura Carneiro, F. O. [1 ]
Vieira da Silva, M. E. [2 ]
Valente Bueno, A. [3 ]
机构
[1] Univ Fed Ceara, Dept Mech Engn, Lab Aerodynam & Fluid Mech LAero, BR-60440554 Fortaleza, CE, Brazil
[2] Solar Energy & Nat Gas Lab, BR-60440554 Fortaleza, CE, Brazil
[3] Univ Fed Ceara, Dept Mech Engn, Lab Internal Combust Engines, BR-60440554 Fortaleza, CE, Brazil
关键词
Aerodynamic performance; k-omega SST turbulence model; Model calibration; Small scale HAWT; Wind energy; PART I; BLADE; DESIGN;
D O I
10.1016/j.energy.2013.11.050
中图分类号
O414.1 [热力学];
学科分类号
摘要
This work deals with a computational investigation emphasized on the calibration of a turbulence model regarding to the operational capability of a SS-HAWT (small-scale horizontal axis wind turbine). Experimental field tests were carried out to collect data to evaluate the performance (power) coefficient, C-p, as a function of the tip-speed ratio, lambda. The prototype examined was a three-bladed wind turbine (NACA (National Advisory Committee for Aeronautics) 0012 profile) designed for fixed tip-speed ratio (with lambda = 5), constructed and operated at the Federal University of Ceara. The maximum value experimentally achieved for C-p was about 14%. The k-omega SST (shear stress transport) turbulence model, solved by the open source CFD (computational fluid dynamics) toolbox OpenFOAM (Open Source Field Operation and Manipulation), assessed the wind turbine performance. The experimental data information obtained reporting the aerodynamic performance of the SS-HAWT prototype was required to calibrate the model. The turbulence intensity and the characteristic length were studied in terms of the beta* parameter. The power coefficient numerically predicted tends to agree with the experimental assessment. The variation of beta mainly affects viscous friction over the blades. (C) 2013 Elsevier Ltd. All rights reserved.
引用
收藏
页码:412 / 418
页数:7
相关论文
共 50 条
  • [1] 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
    Costa Rocha, P. A.
    Barbosa Rocha, H. H.
    Moura Carneiro, F. O.
    Vieira da Silva, M. E.
    Freitas de Andrade, C.
    ENERGY, 2016, 97 : 144 - 150
  • [2] Calibration method of the k-ω SST turbulence model for wind turbine performance prediction near stall condition
    Younoussi, Somaya
    Ettaouil, Abdeslem
    HELIYON, 2024, 10 (01)
  • [3] Unsteady Aerodynamic Analysis of Different Multi-MW Horizontal Axis Wind Turbine Blade Profiles on SST K-ω Model
    Radmanesh, Amir Reza
    Abbaspour, Madjid
    Soltani, Mohamad Reza
    EXERGY FOR A BETTER ENVIRONMENT AND IMPROVED SUSTAINABILITY 1: FUNDAMENTALS, 2018, : 17 - 30
  • [4] Simulation of gaseous pollutant dispersion around an isolated building using the k-ω SST (shear stress transport) turbulence model
    Yu, Hesheng
    The, Jesse
    JOURNAL OF THE AIR & WASTE MANAGEMENT ASSOCIATION, 2017, 67 (05) : 517 - 536
  • [5] Numerical study on aerodynamics of small scale horizontal axis wind turbine with Weibull analysis
    Venkateswaran, Vivekamanickam Koothan
    Fernandez-Gamiz, Unai
    Portal-Porras, Koldo
    Blanco, Jesus Maria
    SCIENTIFIC REPORTS, 2024, 14 (01):
  • [6] Experimental Study and Simulation of a Small-Scale Horizontal-Axis Wind Turbine
    Jackson, Randall S.
    Amano, Ryoichi
    JOURNAL OF ENERGY RESOURCES TECHNOLOGY-TRANSACTIONS OF THE ASME, 2017, 139 (05):
  • [7] Experimental study of the effect of turbulence on horizontal axis wind turbine aerodynamics
    Sicot, Christophe
    Devinant, Philippe
    Laverne, Thomas
    Loyer, Stephane
    Hureau, Jacques
    WIND ENERGY, 2006, 9 (04) : 361 - 370
  • [8] Calibration of the k-? shear stress transport turbulence model for shock wave boundary layer interaction in a SERN using machine learning
    Mirjalily, Seyed Ali Agha
    ENGINEERING ANALYSIS WITH BOUNDARY ELEMENTS, 2023, 146 : 96 - 104
  • [9] An improved k-ε model applied to a wind turbine wake in atmospheric turbulence
    van der Laan, M. Paul
    Sorensen, Niels N.
    Rethore, Pierre-Elouan
    Mann, Jakob
    Kelly, Mark C.
    Troldborg, Niels
    Schepers, J. Gerard
    Machefaux, Ewan
    WIND ENERGY, 2015, 18 (05) : 889 - 907
  • [10] Design & fabrication of small scale horizontal axis wind turbine and performance analysis of the turbine
    Acharya, Sandesh
    Pokhrel, Asim
    Bohara, Bharat
    Shrestha, Bikesh
    2017 INTERNATIONAL CONFERENCE ON SMART GRIDS, POWER AND ADVANCED CONTROL ENGINEERING (ICSPACE), 2017, : 75 - 80