An Improved Model for the Performance Estimation of an H-Darrieus Wind Turbine in Skewed Flow

Author:

Bianchini Alessandro1,Ferrara Giovanni1,Ferrari Lorenzo2,Magnani Sandro1

Affiliation:

1. “Sergio Stecco” Department of Energy Engineering, University of Florence Via di Santa Marta 3, 50139, Florence, Italy Phone +39 055 4796 570 - Fax +39 055 4796 342

2. CNR-ICCOM, National Research Council of Italy Via Madonna del Piano 10, 50019, Sesto Fiorentino (FI), Italy Phone +39 055 5225 218 - Fax +39 055 5225 203

Abstract

Small turbines are considered one of the most promising technologies for an effective diffusion of renewable energy sources in new installation contexts with a high degree of integration with human activity (e.g. the urban environment). In these new installations, however, the real working conditions can be far from the nominal ones. In particular, the turbine functioning can be noticeably affected by misalignments between the oncoming flow and the axis of the rotor; differently from horizontal-axis wind turbines, whose performance is decreased by a skew angle, H-Darrieus turbines are thought to take advantage from this condition in some cases. In this study, an improved model for the performance prediction of H-Darrieus rotors under skewed flow was developed. In detail, a theoretical approach based on Momentum Models was properly modified to account for the variations induced by the new direction of the flow which invests the rotor. In particular, the modifications in the aerodynamic characteristics of the airfoils, the swept area and the streamtubes distribution were modeled. The performance predictions of the new model were compared both with experimental data available in the technical literature and with the results of wind tunnel tests purposefully carried out on a full scale model of an H-Darrieus turbine. Notable agreement has been constantly obtained between simulations and experiments.

Publisher

SAGE Publications

Subject

Energy Engineering and Power Technology,Renewable Energy, Sustainability and the Environment

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