Investigations of Farm-to-Farm Interactions and Blockage Effects from AWAKEN Using Large-Scale Numerical Simulations

Lawrence Cheung, Alan Hsieh, Myra Blaylock, Thomas Herges, Nathaniel deVelder, Kenneth Brown, Philip Sakievich, Daniel Houck, David Maniaci, Colleen Kaul, Raj Rai, Nicholas Hamilton, Alex Rybchuk, Ryan Scott, Regis Thedin, Michael Brazell, Matthew Churchfield, Michael Sprague

Research output: Contribution to journalArticlepeer-review

4 Scopus Citations

Abstract

A large-scale numerical computation of five wind farms was performed as a part of the American WAKE experimeNt (AWAKEN). This high-fidelity computation used the ExaWind/AMR-Wind LES solver to simulate a 100 km × 100 km domain containing 541 turbines under unstable atmospheric conditions matching previous measurements. The turbines were represented by Joukowski and OpenFAST coupled actuator disk models. Results of this qualitative comparison illustrate the interactions of wind farms with large-scale ABL structures in the flow, as well as the extent of downstream wake penetration in the flow and blockage effects around wind farms.

Original languageAmerican English
Article numberArticle No. 012023
Number of pages13
JournalJournal of Physics: Conference Series
Volume2505
Issue number1
DOIs
StatePublished - 2023
Event8th Wake Conference 2023 - Visby, Sweden
Duration: 20 Jun 202322 Jun 2023

Bibliographical note

Publisher Copyright:
© Published under licence by IOP Publishing Ltd.

NREL Publication Number

  • NREL/JA-5000-85581

Keywords

  • computational fluid dynamics
  • ExaWind
  • wind plant

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