A new analytical wavelet-Gaussian wake model
POSTER
Abstract
A new analytical wake model focusing on capturing near wake phenomena is proposed. A Ricker wavelet function summed with a normal Gaussian is used to capture flow acceleration and hub jet in the near wake and transition into a single Gaussian curve downstream. Simplifications are implemented to allow for inexpensive computational cost while still upholding the fidelity of the model. Parameters are considered to be functions of flow conditions and turbine properties and expressed analytically. Large eddy simulations and small scale wind tunnel experiments are used to validate the model.
Authors
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Zein Sadek
Portland State University
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Raul Cal
Portland State University, Department of Mechanical and Materials Engineering, Portland State University
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Nicholas Hamilton
National Renewable Energy Laboratory