ExaWind: Exascale Predictive Wind Plant Flow Physics Modeling

Michael Sprague, Shreyas Ananthan, Roba Binyahib, Michael Brazell, Marc Henry de Frahan, Ryan King, Paul Mullowney, Jonathan Rood, Ashesh Sharma, Stephen Thomas, Ganesh Vijayakumar, Paul Crozier, L. Berger-Vergiat, Lawrence Cheung, David Dement, Nathaniel de Velder, David Glaze, Jonathan Hu, Robert Knaus, Dong Hun LeeNeil Matula, Tolu Okusanya, James Overfelt, Sivasankaran Rajamanickam, Philip Sakievich, Timothy Smith, Jonathan Vo, Alan Williams, Ichitaro Yamazaki, John Turner, Andrey Prokopenko, Robert Wilson, Robert Moser, Jeremy Melvin, Jay Sitaraman

Research output: NRELPoster


The scientific goal of the ExaWind project is to advance our fundamental understanding of the flow physics governing whole wind plant performance, including wake formation, complex terrain impacts, and turbine-turbine-interaction effects. The primary application codes in the ExaWind environment are Nalu-Wind, an unstructured-grid computational fluid dynamics (CFD) code, AMR-Wind, a structured-grid CFD code, and OpenFAST, a whole-turbine simulation code. In this poster we present our progress towards simulating the ExaWind challenge problem, which is a predictive simulation of a wind farm with tens of megawatt-scale wind turbines dispersed over an area of 50 square kilometers.
Original languageAmerican English
StatePublished - 2021

Publication series

NamePresented at the Exascale Computing Project Annual Meeting, 12-16 April 2021

NREL Publication Number

  • NREL/PO-5000-80015


  • computing
  • exascale
  • wind
  • wind energy


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