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Effect of aspect ratio on vertical-axis wind turbine wakes

Published online by Cambridge University Press:  21 February 2020

Sina Shamsoddin*
Affiliation:
École Polytechnique Fédérale de Lausanne (EPFL), Wind Engineering and Renewable Energy Laboratory (WIRE), EPFL-ENAC-IIE-WIRE, 1015Lausanne, Switzerland
Fernando Porté-Agel
Affiliation:
École Polytechnique Fédérale de Lausanne (EPFL), Wind Engineering and Renewable Energy Laboratory (WIRE), EPFL-ENAC-IIE-WIRE, 1015Lausanne, Switzerland
*
†Present address: Swiss Finance and Property Group, Seefeldstrasse 275, 8008 Zurich, Switzerland. Email address for correspondence: sina.shamsoddin@gmail.com

Abstract

Variability of the rotor aspect ratio is one of the inherent characteristics of vertical-axis wind turbines (VAWTs) which differentiates them especially from the more conventional horizontal-axis wind turbines. In this study, we intend to investigate the effect of rotor aspect ratio on VAWT wakes. In particular, we aim to find out whether a common behaviour exists in the mean flow field of such wakes. In order to do so, we first design and perform a set of numerical experiments (using our already validated large-eddy simulation framework) to obtain the mean flow field of the wakes of three VAWTs of different aspect ratio (2, 1 and ${\textstyle \frac{1}{4}}$) and the same thrust coefficient ($C_{T}=0.8$). After observing the obvious differences in these three wakes, by using the classical momentum integral and the concept of momentum diameter, we come up with an appropriate normalization length scale $D_{eq}=\sqrt{(4/\unicode[STIX]{x03C0})DH}$, where $D$ is the rotor diameter and $H$ is the rotor height. By normalizing the lengths (both streamwise and lateral) involved in the mean velocity profiles by $D_{eq}$, we obtain a remarkable collapse of the wake profiles for the three aspect ratios. As a corollary, cross-sections of wakes of turbines with different aspect ratios eventually converge to a circular shape – not an elliptical one, for example, as one might presume intuitively. This result influences the modelling of VAWT far wakes and, in turn, has implications on the optimal configuration of VAWT farms.

Information

Type
JFM Rapids
Copyright
© The Author(s), 2020. Published by Cambridge University Press
Figure 0

Table 1. Turbine dimensions.

Figure 1

Figure 1. Schematic of the numerical experiments. Three turbines are shown in black (T1), green (T2) and red (T3).

Figure 2

Figure 2. Inflow characteristics: (a) vertical profile of the mean streamwise velocity compared to a log-law profile (horizontal axis in logarithmic scale). (b) Vertical profile of the mean streamwise velocity (linear scale). (c) Vertical profile of the standard deviation of the streamwise velocity.

Figure 3

Figure 3. Contours of the normalized mean streamwise velocity ($\overline{u}/U_{eq}$) in the $x{-}y$ plane at the equator height of the turbine for (a) T1, (b) T2 and (c) T3.

Figure 4

Figure 4. Contours of the normalized mean streamwise velocity ($\overline{u}/U_{eq}$) in the $x{-}z$ plane going through the centre of the turbine for (a) T1, (b) T2 and (c) T3.

Figure 5

Figure 5. Horizontal-spanwise profiles of the normalized mean streamwise velocity deficit ($\overline{u}_{d}/U_{eq}$) in the $x{-}y$ plane at the equator height of the turbine at different downstream positions for T1 (black), T2 (green) and T3 (red). All lengths are normalized by $D$. The blue horizontal dashed lines show the extent of the turbine.

Figure 6

Figure 6. Vertical profiles of the normalized mean streamwise velocity deficit ($\overline{u}_{d}/U_{eq}$) in the $x{-}z$ plane going through the centre of the turbine at different downstream positions for T1 (black), T2 (green) and T3 (red). All lengths are normalized by $D$. ($z_{t}=z-z_{eq}$, where $z_{eq}$ is the equator height of the turbine.)

Figure 7

Figure 7. The same as figure 5, except that now the streamwise distance is normalized by $D_{eq}$.

Figure 8

Figure 8. The same as figure 6, except that now the streamwise distance is normalized by $D_{eq}$.

Figure 9

Figure 9. The same as figure 5, except that now all distances are normalized by $D_{eq}$.

Figure 10

Figure 10. The same as figure 6, except that now all distances are normalized by $D_{eq}$.