AMR-Wind: Adaptive mesh-refinement for atmospheric-boundary-layer wind energy simulations
ORAL
Abstract
The ExaWind project is targeting high-fidelity simulations of wind farms in realistic atmospheric conditions. To help achieve this goal the ExaWind project has recently added the flow solver AMR-Wind to its software stack. AMR-Wind is an incompressible flow solver built using the AMReX library. The AMReX library enables performance portability (i.e. same code base runs on CPUs and GPUs), scalable linear solvers, and mesh adaption capabilities. In this talk we will give an overview of AMR-Wind, describe the discretization, and show our progress towards verifying and validating AMR-Wind. Validation studies will include relevant atmospheric boundary layers such as N02 (Pedersen 2014) and GABLS. In addition we will show weak and strong scaling performance studies performed on ORNL's Summit supercomputer.
*This work was authored in part by the National Renewable Energy Laboratory, operated by Alliance for Sustainable Energy, LLC, for the U.S. Department of Energy (DOE) under Contract No. DE-AC36- 08GO28308. M. Brazell was funded by the Exascale Computing Project (17-SC-20-SC), a collaborative effort of two DOE organizations (Office of Science and the National Nuclear Security Administration). Funding provided by the U.S.\ Department of Energy Office of Energy Efficiency and Renewable Energy Wind Energy Technologies Office. A portion of the research was performed using computational resources sponsored by the DOE's Office of Energy Efficiency and Renewable Energy and located at the National Renewable Energy Laboratory.
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Presenters
Michael J Brazell
National Renewable Energy Laboratory
National Renewable Energy Laboratory (NREL)
Authors
Michael J Brazell
National Renewable Energy Laboratory
National Renewable Energy Laboratory (NREL)
Shreyas Ananthan
Siemens Gamesa Renewable Energy Digital Ventures Lab
Siemens Gamesa Renewable Energy - Digital Ventures Lab