Wind Farm Flow Modeling using an Input-Output Reduced-Order Model

Jennifer Annoni, Pieter Gebraad, Peter Seiler

Research output: Contribution to conferencePaperpeer-review

37 Scopus Citations


Wind turbines in a wind farm operate individually to maximize their own power regardless of the impact of aerodynamic interactions on neighboring turbines. There is the potential to increase power and reduce overall structural loads by properly coordinating turbines. To perform control design and analysis, a model needs to be of low computational cost, but retains the necessary dynamics seen in high-fidelity models. The objective of this work is to obtain a reduced-order model that represents the full-order flow computed using a high-fidelity model. A variety of methods, including proper orthogonal decomposition and dynamic mode decomposition, can be used to extract the dominant flow structures and obtain a reduced-order model. In this paper, we combine proper orthogonal decomposition with a system identification technique to produce an input-output reduced-order model. This technique is used to construct a reduced-order model of the flow within a two-turbine array computed using a large-eddy simulation.

Original languageAmerican English
Number of pages7
StatePublished - 28 Jul 2016
Externally publishedYes
Event2016 American Control Conference, ACC 2016 - Boston, United States
Duration: 6 Jul 20168 Jul 2016


Conference2016 American Control Conference, ACC 2016
Country/TerritoryUnited States

Bibliographical note

Publisher Copyright:
© 2016 American Automatic Control Council (AACC).

NREL Publication Number

  • NREL/CP-5000-65868


  • aerodynamics
  • computational modeling
  • mathematical model
  • matrix decomposition
  • reduced order systems
  • wind farms
  • wind turbines


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