Demonstrate moving-grid multi-turbine simulations primarily run on GPUs and propose improvements for successful KPP-2 Article Swipe

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Solver Multigrid method Polygon mesh Computational science Computer science Grid Applied mathematics Momentum (technical analysis) Turbine Parallel computing Mathematical optimization Partial differential equation Mathematics Aerospace engineering Mathematical analysis Geometry Engineering Computer graphics (images) Economics Finance

Christiane Adcock , Shreyas Ananthan , Luc Berget-Vergiat , Michael Brazell , Nicholas Brunhart‐Lupo , Jonathan Joseph Hu , Robert Knaus , Jeremy Melvin , Bob Moser , Paul Mullowney , Jon Rood , Ashesh Sharma , Stephen Thomas , Ganesh Vijayakumar , Alan Williams , R. J. Wilson , Ichitaro Yamazaki , Michael Sprague ·

YOU? · · 2021 · Open Access · · DOI: https://doi.org/10.2172/1855025 · OA: W4241817446

The goal of the ExaWind project is to enable predictive simulations of wind farms comprised of many megawatt-scale turbines situated in complex terrain. Predictive simulations will require computational fluid dynamics (CFD) simulations for which the mesh resolves the geometry of the turbines, capturing the thin boundary layers, and captures the rotation and large deflections of blades. Whereas such simulations for a single turbine are arguably petascale class, multi-turbine wind farm simulations will require exascale-class resources.