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Industrial Wake Models

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Handbook of Wind Energy Aerodynamics

Abstract

This chapter deals with the description of wind turbine wakes by means of reduced-complexity flow models. These models offer the appeal to conduct a vast number of simulations of the wake flow for different atmospheric boundary conditions in short time, thus, they are usually the models of choice in the wind energy industry for assessing and optimizing long-term energy production. The intent of the chapter is to provide an overview over a subset of the most prominent wake models, their physical approximations, and the resulting equations that the models use to describe the flow. At the end, two algorithms are presented to derive a converged wind farm flow by superimposing the wake deficits derived from the presented single wake models. This offers the readers the opportunity to implement a wind farm flow model with their wake model of choice themselves.

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Author information

Authors and Affiliations

  1. Aerodynamics, CFD and Stochastic Dynamics, Fraunhofer IWES, Oldenburg, Germany

    Jonas Schmidt & Lukas Vollmer

Authors
  1. Jonas Schmidt
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  2. Lukas Vollmer
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Corresponding author

Correspondence to Jonas Schmidt .

Editor information

Editors and Affiliations

  1. Fraunhofer Institute for Wind Energy and, Oldenburg, Germany

    Bernhard Stoevesandt

  2. TNO-Energy Research Centre of the Nether, Netherlands Organisation for Applied Sci, Petten, The Netherlands

    Gerard Schepers

  3. Siemens Gamesa Renewable Energy, Brande, Denmark

    Peter Fuglsang

  4. Goldwind Americas, Chicago, IL, USA

    Sun Yuping

Section Editor information

  1. Netherlands Organization for Applied Scientific Research TNO-Energy Transition, Petten, The Netherlands

    Gerard Schepers

  2. Hanze University of Applied Sciences, Groningen, Netherlands

    Gerard Schepers

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Schmidt, J., Vollmer, L. (2021). Industrial Wake Models. In: Stoevesandt, B., Schepers, G., Fuglsang, P., Yuping, S. (eds) Handbook of Wind Energy Aerodynamics. Springer, Cham. https://doi.org/10.1007/978-3-030-05455-7_49-1

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  • DOI: https://doi.org/10.1007/978-3-030-05455-7_49-1

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-05455-7

  • Online ISBN: 978-3-030-05455-7

  • eBook Packages: Springer Reference EnergyReference Module Computer Science and Engineering

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