Comparison of Experimental and Numerically Predicted Three-Dimensional Wake Behavior of Vertical Axis Wind Turbines

Abstract

The evolution of the wake of a wind turbine contributes significantly to its operation and performance, as well as to those of machines installed in the vicinity. The inherent unsteady and three-dimensional (3D) aerodynamics of vertical axis wind turbines (VAWT) have hitherto limited the research on wake evolution. In this paper, the wakes of both a troposkien and a H-type VAWT rotor are investigated by comparing experiments and calculations. Experiments were carried out in the large-scale wind tunnel of the Politecnico di Milano, where unsteady velocity measurements in the wake were performed by means of hot wire anemometry. The geometry of the rotors was reconstructed in the open-source wind-turbine software QBlade, developed at the TU Berlin. The aerodynamic model makes use of a lifting line free-vortex wake (LLFVW) formulation, including an adapted Beddoes-Leishman unsteady aerodynamic model; airfoil polars are introduced to assign sectional lift and drag coefficients. A wake sensitivity analysis was carried out to maximize the reliability of wake predictions. The calculations are shown to reproduce several wake features observed in the experiments, including blade-tip vortex, dominant and minor vortical structures, and periodic unsteadiness caused by sectional dynamic stall. The experimental assessment of the simulations illustrates that the LLFVW model is capable of predicting the unsteady wake development with very limited computational cost, thus making the model ideal for the design and optimization of VAWTs.

A multipurpose lifting-line flow solver for arbitrary wind energy concepts

“…Panel-based and lifting-line methods are readily applied to arbitrary assemblies of wings and rotors (Katz and Plotkin, 2001). The open-source code QBlade (Marten et al, 2013) contains a generic vorticity-based solver that has been applied to HAWTs (Saverin et al, 2018a) and VAWTs (Saverin et al, 2018b). Other generic solvers have been implemented (van Garrel, 2003;Chatelain et al, 2013;Branlard et al, 2015;Alvarez and Ning, 2019;Boorsma et al, 2020) but not often publicly distributed.…”