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|a Comparison of Rotor Wake Identification and Characterization Methods for the Analysis of Wake Dynamics and Evolution
|h [electronic resource]
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|a Golden, Colo. :
|b National Renewable Energy Laboratory (U.S.) ;
|a Oak Ridge, Tenn. :
|b Distributed by the Office of Scientific and Technical Information, U.S. Department of Energy,
|c 2020.
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|a Size: Article No. 012070 :
|b digital, PDF file.
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|a text
|b txt
|2 rdacontent.
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|a computer
|b c
|2 rdamedia.
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|a online resource
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|a Published through Scitech Connect.
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|a 01/01/2020.
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|a "nrel/ja-5000-74643"
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|a "Journal ID: ISSN 1742-6588"
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|a Quon, E. W. ; Doubrawa, P. ; Debnath, M. ;
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|a USDOE Office of Energy Efficiency and Renewable Energy (EERE), Wind and Water Technologies Office (EE-4W)
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|a 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.
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|b AC36-08GO28308.
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|a 17 wind energy
|2 local.
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|a Wind power plants
|2 local.
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|a Rotor wake
|2 local.
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|a Wake dynamics
|2 local.
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|a Wake evolution
|2 local.
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| 710 |
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|a National Renewable Energy Laboratory (U.S.).
|4 res
|4 spn.
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|a United States.
|b Department of Energy.
|b Office of Scientific and Technical Information
|4 dst.
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|u http://www.osti.gov/servlets/purl/1603920
|z Full Text (via OSTI)
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|a .b110014650
|b 11-30-21
|c 05-11-20
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|a web
|b 05-11-20
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|p Can circulate
|a University of Colorado Boulder
|b Online
|c Online
|d Online
|e E 1.99:nrel/ja-5000-74643
|h Superintendent of Documents classification
|i web
|n 1
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