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Application and analysis of the moving mesh algorithm AMI in a small scale HAWT: Validation with field test's results against the frozen rotor approach

Author

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  • Carneiro, F.O.M.
  • Moura, L.F.M.
  • Costa Rocha, P.A.
  • Pontes Lima, R.J.
  • Ismail, K.A.R.

Abstract

The wind power contribution for the global energy matrix and its technological and commercial maturity becomes an important fact for the sustainable energy development. The CFD studies gain importance with the computational progress to improve the efficiency of wind turbines on the aerodynamic criteria. The RANS models show the best relation between accuracy and required computational effort. The present article investigates the application of Arbitrary Mesh Interface (AMI) in transient regime and k-ω SST turbulence model in its standard setting to obtain the Power Coefficient of a small HAWT by using OpenFOAM (pimpleDyMFoam). The numerical results were comparable with the field test results and the numerical results obtained with frozen rotor approach, in stationary regime (simpleFoam) and the same turbulence model. The findings showed good agreement between simulations and experiments. The moving mesh approach with layers addition over the blade's surface, for the adjustment of y+ values, was determinant for the results and reproduced well the three-dimensional dynamic effects of flow for this application. The frozen rotor approach resembled the condition of a stopped rotor and its weaknesses are presented and discussed. The numerical results lied between the highest and the mean experimental values and consistently within the confidence interval.

Suggested Citation

  • Carneiro, F.O.M. & Moura, L.F.M. & Costa Rocha, P.A. & Pontes Lima, R.J. & Ismail, K.A.R., 2019. "Application and analysis of the moving mesh algorithm AMI in a small scale HAWT: Validation with field test's results against the frozen rotor approach," Energy, Elsevier, vol. 171(C), pages 819-829.
    • Handle: RePEc:eee:energy:v:171:y:2019:i:c:p:819-829
    DOI: 10.1016/j.energy.2019.01.088
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    References listed on IDEAS

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    1. Rocha, P.A. Costa & Carneiro de Araujo, J.W. & Lima, R.J. Pontes & Vieira da Silva, M.E. & Albiero, D. & de Andrade, C.F. & Carneiro, F.O.M., 2018. "The effects of blade pitch angle on the performance of small-scale wind turbine in urban environments," Energy, Elsevier, vol. 148(C), pages 169-178.
    2. Ferrari, G. & Federici, D. & Schito, P. & Inzoli, F. & Mereu, R., 2017. "CFD study of Savonius wind turbine: 3D model validation and parametric analysis," Renewable Energy, Elsevier, vol. 105(C), pages 722-734.
    3. Rocha, P. A. Costa & Rocha, H. H. Barbosa & Carneiro, F. O. Moura & da Silva, M. E. Vieira & de Andrade, C. Freitas, 2016. "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," Energy, Elsevier, vol. 97(C), pages 144-150.
    4. Thé, Jesse & Yu, Hesheng, 2017. "A critical review on the simulations of wind turbine aerodynamics focusing on hybrid RANS-LES methods," Energy, Elsevier, vol. 138(C), pages 257-289.
    5. Almohammadi, K.M. & Ingham, D.B. & Ma, L. & Pourkashan, M., 2013. "Computational fluid dynamics (CFD) mesh independency techniques for a straight blade vertical axis wind turbine," Energy, Elsevier, vol. 58(C), pages 483-493.
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    Cited by:

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    2. Amiri, Mojtaba Maali & Shadman, Milad & Estefen, Segen F., 2020. "URANS simulations of a horizontal axis wind turbine under stall condition using Reynolds stress turbulence models," Energy, Elsevier, vol. 213(C).
    3. de Oliveira, Marielle & Puraca, Rodolfo C. & Carmo, Bruno S., 2023. "A study on the influence of the numerical scheme on the accuracy of blade-resolved simulations employed to evaluate the performance of the NREL 5 MW wind turbine rotor in full scale," Energy, Elsevier, vol. 283(C).

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