An improved LB method for predicting dynamic characteristics of Vertical Axis Wind Turbine airfoils

Abstract

One of the important challenges for Vertical Axis Wind Turbine (VAWT) is to fully understand its dynamic characteristics in different operating conditions. Meanwhile, it is necessary to seek a fast and accurate method to evaluate the dynamic characteristic of VAWT. In this study, we improve the LB model by considering the operating principle of VAWT to study the dynamic characteristics of the dedicated and commonly used VAWT airfoils in different operating conditions. The results show that the improved LB model is suitable for simulating the dynamic characteristic of VAWT with a thick airfoil. Although the asymmetric airfoil shows the higher lift coefficient, their dynamic characteristic appears huge fluctuation as the increases of tip speed ratio. Moreover, at a low tip speed ratio, the advantages of the asymmetric airfoil are not obvious. While the dynamic characteristic of the symmetric airfoil is relatively stable with the variation of tip speed ratio.

Research of asymmetric airfoil on aerodynamic characteristics of vertical axis wind turbines

“…The rotating shaft and the support rod, which have little bearing in the calculation of the results are disregarded in the calculation. The computational domain is divided the entire into a 10D by 15D rectangular area (Li et al, 2022; Maalouly et al, 2022). The overall calculation domain is divided into two parts- the stationary domain and the rotating domain.…”

Numerical Study on Flow and Noise Characteristics of a NACA0018 Airfoil with a Porous Trailing Edge

“…In this paper, grid 3 was adopted to guarantee the computational efficiency and the computational accuracy. The numerical results of the time-averaged surface pressure coefficient, which was extracted at the spanwise location z = 0.025 based on grid 3, were compared with the wind tunnel experimental data [32] at α = 6° and a Reynolds number of 1.6 × 10 5 . Good agreement was achieved, as depicted in Figure 5.…”