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Turbulent Inflow Models

  • Sebastian EhrichEmail author
Living reference work entry
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Abstract

This chapter gives a short overview of different methods used for turbulence generation in the field of wind energy. The wind fields can be used as an inflow for computational fluid dynamics or blade element momentum-based simulations. For all presented models, the mathematical background is given, and it is discussed which advantages and drawbacks they have. The main focus lies on statistical properties in terms of one- and two-point statistics. This includes variance, autocorrelations, cross correlations, and spectral properties. First different recycling methods are explained, namely, the weak and the strong recycling methods. In the following sections, synthetic coherent eddy methods are shown which approximate the turbulent properties well. Those are the digital filtering method and the random spots method. Also an inflow model based on continuous-time random walks is demonstrated which considers higher-order statistics, the increment statistics. In the last section, two spectral methods are in the focus which are used in a wide range in the field of wind energy, the Sandia method, and the Mann model.

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Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.Department of PhysicsUniversity of OldenburgOldenburgGermany

Section editors and affiliations

  • Bernhard Stoevesandt
    • 1
  1. 1.Aerodynamics, CFD and stochastic DynamicsFraunhofer Institute for Wind Energy SystemsOldenburgGermany

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