Abstract
Wind power has become a key player in satisfying the global energy needs. With increased market penetration, unanticipated unsteady loading induced failures, installation related reductions in power generation, and significant maintenance costs have underscored the need to predict the unsteady fluid-structure interactions related to turbine layout and off-design wind conditions. Contemporary turbine design tools are incapable of accounting for such loadings. As a result, researchers have started utilizing high-Performance-Computing (HPC) based Computational Fluid Dynamics (CFD) solvers, such as the U.S. Department of Energy sponsored ExaWind software package, to investigate these phenomena. Unfortunately, such HPC tools are computationally expensive for routine industrial use, often because of the sheer number of cells required to resolve the wake flowfield. This paper describes a preliminary effort to address this issue by developing a vorticity-velocity based CFD off-body solver, VorTran-M2-AMReX, that integrates directly with DOE's ExaWind wind turbine analysis system to perform accurate and reliable simulations of wind turbine/farm at a lower computational cost than ExaWind alone. This article summarizes work undertaken to date concerning the assembly of the proposed analysis tool, and provides preliminary validation and verification of the VorTran-M2-AMReX off-body solver.
Original language | American English |
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Number of pages | 20 |
DOIs | |
State | Published - 2023 |
Event | 2023 American Institute of Aeronautics and Astronautics (AIAA) SciTech Forum - National Harbor, Maryland Duration: 23 Jan 2023 → 27 Jan 2023 |
Conference
Conference | 2023 American Institute of Aeronautics and Astronautics (AIAA) SciTech Forum |
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City | National Harbor, Maryland |
Period | 23/01/23 → 27/01/23 |
NREL Publication Number
- NREL/CP-5000-84808
Keywords
- adaptive mesh refinement
- CFD
- high-performance computing