Comparison of Rotor Wake Identification and Characterization Methods for the Analysis of Wake Dynamics and Evolution
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.
- Authors:
-
- National Renewable Energy Lab. (NREL), Golden, CO (United States)
- Publication Date:
- Research Org.:
- National Renewable Energy Lab. (NREL), Golden, CO (United States)
- Sponsoring Org.:
- USDOE Office of Energy Efficiency and Renewable Energy (EERE), Wind and Water Technologies Office (EE-4W)
- OSTI Identifier:
- 1603920
- Report Number(s):
- NREL/JA-5000-74643
Journal ID: ISSN 1742-6588
- Grant/Contract Number:
- AC36-08GO28308
- Resource Type:
- Accepted Manuscript
- Journal Name:
- Journal of Physics. Conference Series
- Additional Journal Information:
- Journal Volume: 1452; Journal ID: ISSN 1742-6588
- Publisher:
- IOP Publishing
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 17 WIND ENERGY; wind power plants; rotor wake; wake dynamics; wake evolution
Citation Formats
Quon, E. W., Doubrawa, P., and Debnath, M. Comparison of Rotor Wake Identification and Characterization Methods for the Analysis of Wake Dynamics and Evolution. United States: N. p., 2020.
Web. doi:10.1088/1742-6596/1452/1/012070.
Quon, E. W., Doubrawa, P., & Debnath, M. Comparison of Rotor Wake Identification and Characterization Methods for the Analysis of Wake Dynamics and Evolution. United States. https://doi.org/10.1088/1742-6596/1452/1/012070
Quon, E. W., Doubrawa, P., and Debnath, M. Wed .
"Comparison of Rotor Wake Identification and Characterization Methods for the Analysis of Wake Dynamics and Evolution". United States. https://doi.org/10.1088/1742-6596/1452/1/012070. https://www.osti.gov/servlets/purl/1603920.
@article{osti_1603920,
title = {Comparison of Rotor Wake Identification and Characterization Methods for the Analysis of Wake Dynamics and Evolution},
author = {Quon, E. W. and Doubrawa, P. and Debnath, M.},
abstractNote = {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.},
doi = {10.1088/1742-6596/1452/1/012070},
journal = {Journal of Physics. Conference Series},
number = ,
volume = 1452,
place = {United States},
year = {2020},
month = {1}
}
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