Turbulence-resolving simulations of wind turbine wakes. (April 2019)

• Record Type: Journal Article
• Authors: Deskos, Georgios; Laizet, Sylvain; Piggott, Matthew D.
• Is Part Of: Renewable energy. Volume 134(2019)
• Page Start: 989
• Page End: 1002
• Publication Date: 2019-04
• Subjects: Wind turbine wakes -- Higher-order methods -- Spectral vanishing viscosity -- Actuator line method; Renewable energy sources -- Periodicals; Power resources -- Periodicals; Énergies renouvelables -- Périodiques; Ressources énergétiques -- Périodiques; 333.794
• DOI: 10.1016/j.renene.2018.11.084
• Languages: English
• ISSNs: 0960-1481

Abstract

Abstract: Turbulence-resolving simulations of wind turbine wakes are presented using a high-order flow solver combined with both a standard and a novel dynamic implicit spectral vanishing viscosity (iSVV and dynamic iSVV) model to account for subgrid-scale (SGS) stresses. The numerical solutions are compared against wind tunnel measurements, which include mean velocity and turbulent intensity profiles, as well as integral rotor quantities such as power and thrust coefficients. For the standard (also termed static) case the magnitude of the spectral vanishing viscosity is selected via a heuristic analysis of the wake statistics, while in the case of the dynamic model the magnitude is adjusted both in space and time at each time step. The study focuses on examining the ability of the two approaches, standard (static) and dynamic, to accurately capture the wake features, both qualitatively and quantitatively. The results suggest that the static method can become over-dissipative when the magnitude of the spectral viscosity is increased, while the dynamic approach which adjusts the magnitude of dissipation locally is shown to be more appropriate for a non-homogeneous flow such that of a wind turbine wake. Abstract : Investigation of the ability of SVV-LES techniques to provide high-fidelity solutions for wind turbine wakes. Introduction of a novel implicit dynamic SVV technique. Sensitivity analysis of the SVV magnitude in both the static and dynamic SVV methods for wind turbine wakes.