Skip to the main content

Preliminary communication

https://doi.org/10.17559/TV-20230614000736

Analytical, Numerical and Experimental Performance Prediction of a Model-Sized Wind Turbine

Matej Fike ; University of Maribor, Faculty of Energy Technology, Hočevarjev trg 1 8270 Krško, Slovenia *
Andrej Predin ; University of Maribor, Faculty of Energy Technology, Hočevarjev trg 1 8270 Krško, Slovenia
Gorazd Hren ; University of Maribor, Faculty of Energy Technology, Hočevarjev trg 1 8270 Krško, Slovenia
Marko Pezdevšek ; University of Maribor, Faculty of Energy Technology, Hočevarjev trg 1 8270 Krško, Slovenia

* Corresponding author.


Full text: english pdf 1.527 Kb

page 612-617

downloads: 302

cite


Abstract

The present work focuses on the comparison of the capabilities of Blade Element Momentum Theory, with and without the high induction factor value model and Computational Fluid Dynamics modelling in relation to experimental measurements of the power coefficient for a model-sized horizontal axial wind turbine. Initially, an analytical investigation was performed to obtain the power coefficient curve. Furthermore, three-dimensional numerical simulations were performed, where a lot of effort was devoted to the preparation of a low y+ structured mesh. Analytical and numerical results of the power coefficient were compared with experimental results, which were obtained with our own conducted experiments in the wind tunnel. The most significant conclusions are that the classic BEM method deviates from measured data in the entire range of tip speed ratios, the BEM method with Spera correction predicts a significantly better agreement with experimental measurements compared to the classic BEM method, especially the part where the power coefficient decreases and finally that CFD computations can accurately predict the performance of wind turbines and compute the flow around an aerofoil of the blade.

Keywords

BEM Method; CFD; measurements; wind turbine

Hrčak ID:

314854

URI

https://hrcak.srce.hr/314854

Publication date:

29.2.2024.

Visits: 749 *