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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

  • Zein Sadek

    Portland State University

  • Raul Cal

    Portland State University, Department of Mechanical and Materials Engineering, Portland State University

  • Nicholas Hamilton

    National Renewable Energy Laboratory