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

Technical Report ·
DOI:https://doi.org/10.2172/1855025· OSTI ID:1855025
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  1. Sandia National Laboratories (SNL), Albuquerque, NM, and Livermore, CA (United States)
  2. Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
  3. Sandia National Lab. (SNL-CA), Livermore, CA (United States)
+ Show Author Affiliations

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.

Research Organization:
Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
Sponsoring Organization:
USDOE National Nuclear Security Administration (NNSA); USDOE Office of Science (SC), Advanced Scientific Computing Research (ASCR)
DOE Contract Number:
NA0003525
OSTI ID:
1855025
Report Number(s):
SAND2021-12439R; 700626
Country of Publication:
United States
Language:
English

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Related Subjects

17 WIND ENERGY
97 MATHEMATICS AND COMPUTING