Vertical Axis Wind Turbine, VAWT, VAWT wake model, reduced-order engineering wake model, VAWT wind farm
In order to analyze or optimize a wind farm layout, reduced-order wake models are often used to estimate the interactions between turbines. While many such models exist for horizontal-axis wind turbines, for vertical-axis wind turbines (VAWTs) a simple parametric wake model does not exist. Using computational fluid dynamic (CFD) simulations we computed vorticity in a VAWT wake, and parameterized the data based on normalized downstream positions, tip-speed ratio, and solidity to predict a normalized wake velocity deficit. When compared to CFD, which takes about a day to run one simulation, the reduced-order model predicts the velocity deficit at any location within 5-6% accuracy in a matter of milliseconds. The model was also found to agree well with trends observed in experimental data. Future additions will allow the reduced-order model to be used in wind farm layout analysis and optimization by accounting for multiple wake interactions.
Original Publication Citation
Tingey, E., and Ning, A., “Parameterized Vertical-Axis Wind Turbine Wake Model Using CFD Vorticity Data,” ASME Wind Energy Symposium, San Diego, CA, Jan. 2016. doi:10.2514/6.2016-1730
BYU ScholarsArchive Citation
Ning, Andrew and Tingey, Eric, "Parameterized Vertical-Axis Wind Turbine Wake Model Using CFD Vorticity Data" (2016). All Faculty Publications. 1720.
Ira A. Fulton College of Engineering and Technology
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