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Decrease time-to-solution through improved linear-system setup and solve.

Technical Report ·
DOI:https://doi.org/10.2172/1431236· OSTI ID:1431236
 [1];  [2];  [1];  [2];  [1];  [1];  [2]
  1. Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
  2. National Renewable Energy Lab. (NREL), Golden, CO (United States)
+ Show Author Affiliations
The goal of the ExaWind project is to enable predictive simulations of wind farms composed of many MW-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, 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 Laboratories (SNL-NM), Albuquerque, NM (United States)
Sponsoring Organization:
USDOE National Nuclear Security Administration (NNSA)
DOE Contract Number:
AC04-94AL85000
OSTI ID:
1431236
Report Number(s):
SAND2018--3204R; 661790
Country of Publication:
United States
Language:
English

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17 WIND ENERGY