Abstract
Optimal wind power plant design requires understanding of wind turbine wake physics and validation of engineering wake models under wake-controlled operating conditions. In this work, we have developed and investigated several different wake identification and characterization methods for analyzing wake evolution and dynamics. The accuracy and robustness of these methods, based on Gaussian function fitting and adaptive contour identification, have been assessed by application to a large-eddy simulation data set. A new contour-based method based on downstream momentum deficit has been considered. Uncertainties arising from wake-identification errors result in characterizations of the wake expansion, recovery, and meandering motion that differ by 19% of the rotor area, 4% of the freestream, and 15% rotor diameter, respectively.
Original language | American English |
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Article number | 012070 |
Number of pages | 10 |
Journal | Journal of Physics: Conference Series |
Volume | 1452 |
Issue number | 1 |
DOIs | |
State | Published - 3 Mar 2020 |
Event | North American Wind Energy Academy, NAWEA 2019 and the International Conference on Future Technologies in Wind Energy 2019, WindTech 2019 - Amherst, United States Duration: 14 Oct 2019 → 16 Oct 2019 |
Bibliographical note
Publisher Copyright:© 2020 IOP Publishing Ltd. All rights reserved.
NREL Publication Number
- NREL/JA-5000-74643
Keywords
- rotor wake
- wake dynamics
- wake evolution
- wind power plants