ExaWind: Exascale Predictive Wind Plant Flow Physics Modeling
Conference
·
OSTI ID:1797920
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.
- Research Organization:
- National Renewable Energy Laboratory (NREL), Golden, CO (United States)
- Sponsoring Organization:
- USDOE Exascale Computing Project
- DOE Contract Number:
- AC36-08GO28308;
- OSTI ID:
- 1797920
- Report Number(s):
- NREL/PO-5000-80015; MainId:41220; UUID:bedae440-c798-4da3-b2da-3df6621865e0; MainAdminID:24609
- Conference Information:
- Presented at the Exascale Computing Project Annual Meeting, 12-16 April 2021
- Country of Publication:
- United States
- Language:
- English
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