Bulletin of the American Physical Society
71st Annual Meeting of the APS Division of Fluid Dynamics
Volume 63, Number 13
Sunday–Tuesday, November 18–20, 2018; Atlanta, Georgia
Session L14: Wind Energy: Experiments
4:05 PM–6:41 PM,
Monday, November 19, 2018
Georgia World Congress Center
Room: B301
Chair: Sean Bailey, University of Kentucky
Abstract ID: BAPS.2018.DFD.L14.2
Abstract: L14.00002 : Investigation of near wake modulation induced by utility-scale turbine operation*
4:18 PM–4:31 PM
Presenter:
Aliza Abraham
(University of Minnesota)
Authors:
Aliza Abraham
(University of Minnesota)
Jiarong Hong
(University of Minnesota)
Super-large-scale flow visualization using natural snowfall has been implemented on a 2.5 MW horizontal-axis wind turbine (EOLOS turbine) to extract qualitative and quantitative information about the utility-scale turbine wake at unprecedented resolution, revealing the influence of incoming flow and turbine operation on near-wake behavior. However, past visualization studies were only conducted on streamwise-wallnormal planes, limiting analysis of spanwise wake behavior. In this study, we present a 3-hour video dataset that captures the full cross section of the EOLOS turbine wake at 0.2 rotor diameters downstream of the turbine, with the light sheet oriented parallel to the rotor plane. Based on Taylor’s frozen hypothesis, these plan-view images are stacked over time to visualize the temporal variation of coherent flow structures in the near wake. Specifically, the wake envelope marked by the positions of helical tip vortex structures allows us to quantify the deflection as well as the expansion/contraction of the wake. These wake behaviors are then correlated with turbine operational parameters such as yaw error, blade pitch, etc. to provide insight into the wake modulation associated with flow-turbine interaction.
*Sponsored by National Science Foundation
To cite this abstract, use the following reference: http://meetings.aps.org/link/BAPS.2018.DFD.L14.2
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