SC17 Denver, CO

P28: High-Fidelity Blade-Resolved Wind Plant Modeling


Authors: Andrew C. Kirby (University of Wyoming), Zhi Yang (University of Wyoming), Michael J. Brazell (University of Wyoming), Behzad R. Ahrabi (University of Wyoming), Jay Sitaraman (Parallel Geometric Algorithms LLC), Dimitri J. Mavriplis (University of Wyoming)

Abstract: Blade-resolved numerical simulations of wind energy applications using full blade and tower models are presented. The computational methodology combines solution technologies in a multi-mesh, multi-solver paradigm through a dynamic overset framework. The coupling of a finite-volume solver and a high-order, hp-adaptive finite-element solver is utilized. Additional technologies including in-situ visualization and atmospheric micro-scale modeling are incorporated into the analysis environment. Validation of the computational framework is performed on the NREL 5MW wind turbine, the unsteady aerodynamics experimental NREL Phase VI turbine, and the Siemens SWT-2.3-93 wind turbine. The power and thrust results of all single turbine simulations agree well with low-fidelity model simulation results and field experiments when available. Scalability of the computational framework is demonstrated using 6, 12, 24, 48, and 96 wind turbine wind plant set-ups including the 48 turbine wind plant known as Lillgrund. Demonstration of the coupling of atmospheric micro-scale and CFD solvers is presented.
Award: Best Poster Finalist (BP): no

Poster: pdf
Two-page extended abstract: pdf


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