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DOE OSTI · 1891592

Demonstrate multi-turbine simulation with hybrid-structured / unstructured-moving-grid software stack running primarily on GPUs and propose improvements for successful KPP-2

Bidadi, Shreyas·Brazell, Michael·Brunhart-Lupo, Nicholas·Henry de Frahan, Marc T.·Lee, Dong Hun·Hu, Jonathan·Melvin, Jeremy·Mullowney, Paul·Vijayakumar, Ganesh·Moser, Robert D.·Rood, Jon·Sakievich, Philip·Sharma, Ashesh·Williams, Alan·Sprague, Michael A.
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Abstract

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.

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17 WIND ENERGY97 MATHEMATICS AND COMPUTING

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Bidadi, Shreyas, Brazell, Michael, Brunhart-Lupo, Nicholas, Henry de Frahan, Marc T., Lee, Dong Hun, Hu, Jonathan, Melvin, Jeremy, Mullowney, Paul, Vijayakumar, Ganesh, Moser, Robert D., Rood, Jon, Sakievich, Philip, Sharma, Ashesh, Williams, Alan, Sprague, Michael A.. 2022-09-30. Demonstrate multi-turbine simulation with hybrid-structured / unstructured-moving-grid software stack running primarily on GPUs and propose improvements for successful KPP-2. https://doi.org/10.2172/1891592

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