A Reduced Order Model to Predict Transient Flows around Straight Bladed Vertical Axis Wind Turbines

Soledad Le Clainche and Esteban Ferrer
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Soledad Le Clainche: ETSIAE-UPM (School of Aeronautics), Universidad Politécnica de Madrid, Pza Cardenal Cisnero 3, 28040 Madrid, Spain
Esteban Ferrer: ETSIAE-UPM (School of Aeronautics), Universidad Politécnica de Madrid, Pza Cardenal Cisnero 3, 28040 Madrid, Spain

Energies, 2018, vol. 11, issue 3, 1-24

Abstract: We develop a reduced order model to represent the complex flow behaviour around vertical axis wind turbines. First, we simulate vertical axis turbines using an accurate high order discontinuous Galerkin–Fourier Navier–Stokes Large Eddy Simulation solver with sliding meshes and extract flow snapshots in time. Subsequently, we construct a reduced order model based on a high order dynamic mode decomposition approach that selects modes based on flow frequency. We show that only a few modes are necessary to reconstruct the flow behaviour of the original simulation, even for blades rotating in turbulent regimes. Furthermore, we prove that an accurate reduced order model can be constructed using snapshots that do not sample one entire turbine rotation (but only a fraction of it), which reduces the cost of generating the reduced order model. Additionally, we compare the reduced order model based on the high order Navier–Stokes solver to fast 2D simulations (using a Reynolds Averaged Navier–Stokes turbulent model) to illustrate the good performance of the proposed methodology.

Keywords: reduced order model; vertical axis wind turbine; high order discontinuous Galerkin; turbulent flow; flow prediction; high order dynamic mode decomposition (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (6)

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