DOE OSTI · 1797920
ExaWind: Exascale Predictive Wind Plant Flow Physics Modeling
Abstract
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.
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Sprague, Michael A. (ORCID:0000000305190379), Ananthan, Shreyas, Binyahib, Roba (ORCID:0000000151640751), Brazell, Michael, Henry de Frahan, Marc, King, Ryan, Mullowney, Paul, Rood, Jonathan, Sharma, Ashesh (ORCID:0000000333379160), Thomas, Stephen, Vijayakumar, Ganesh, Crozier, Paul, Berger-Vergiat, L., Cheung, Lawrence, Dement, David, de Velder, Nathaniel, Glaze, David, Hu, Jonathan, Knaus, Robert, Hun Lee, Dong, Matula, Neil, Okusanya, Tolu, Overfelt, James, Rajamanickam, Sivasankaran, Sakievich, Philip, Smith, Timothy, Vo, Jonathan, Williams, Alan, Yamazaki, Ichitaro, Turner, John, Prokopenko, Andrey, Wilson, Robert, Moser, Robert, Melvin, Jeremy, Sitaraman, Jay. 2021-06-15. ExaWind: Exascale Predictive Wind Plant Flow Physics Modeling. https://www.osti.gov/biblio/1797920
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