Final report for WP4.3: Enhancement of design methods ... - Upwind
Final report for WP4.3: Enhancement of design methods ... - Upwind
Final report for WP4.3: Enhancement of design methods ... - Upwind
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UPWIND WP4: Offshore Support Structures and Foundations<br />
8.1 Aerodynamic theories<br />
All <strong>of</strong> the <strong>design</strong> codes currently capable <strong>of</strong> per<strong>for</strong>ming integrated modelling <strong>of</strong> floating wind turbines use combined<br />
Blade Element Momentum theory to calculate aerodynamic <strong>for</strong>ces on the wind turbine rotor. However the<br />
large low-frequency plat<strong>for</strong>m motions experienced by floating <strong>of</strong>fshore wind turbines result in flow conditions<br />
which are considerably more complex than those experienced by conventional onshore or fixed-bottom <strong>of</strong>fshore<br />
wind turbines. Extensive load-case simulations per<strong>for</strong>med by Jonkman and Matha [107] have shown,<br />
particularly <strong>for</strong> catenary moored floating wind turbines, that significant rotational pitch motions occur at approximately<br />
the incident-wave frequency. For the investigated OC3 Hywind spar buoy featuring the NREL 5MW<br />
baseline turbine, pitch motions <strong>of</strong> up to 8° <strong>for</strong> production <strong>design</strong> load cases (DLCs) and 14° <strong>for</strong> extreme DLCs<br />
have been found. In addition to significant pitch motions, large lower frequency translational surge motions are<br />
also predicted. These rotational and translational motions cause the rotor to operate <strong>of</strong>ten in non-axial flow<br />
conditions and lead to a change in the interaction between the rotor and wake, with the rotor in some cases<br />
traversing back over its own wake. The transitions between windmill and propeller states where the rotor interacts<br />
with its own wake cannot be accurately modelled using traditional BEM theory with common corrections,<br />
as Sebastian and Lackner [100] have shown in a preliminary study. BEM cannot model the resulting development<br />
<strong>of</strong> a turbulent region behind the rotor leading to a toroidal recirculation normal to the rotor blade, most<br />
significantly expected at the blade tips, where the effect on loads is most significant. Sebastian and Lackner<br />
identify this transitional aerodynamic phenomenon as vortex ring state (VRS), and conclude that momentum<br />
equations used in typical BEM analysis <strong>methods</strong> break down and yield unrealistic results <strong>for</strong> the axial and the<br />
rotational motion <strong>of</strong> the rotor.<br />
Since wind turbine airfoils in production up to rated power usually operate close to their maximum lift coefficient<br />
to generate maximum power, the described pitch motions also cause the airfoil to more <strong>of</strong>ten operate in stalled<br />
condition, increasing the importance <strong>of</strong> dynamic stall models. Common dynamic stall models such as Beddoes-<br />
Leishman are semi-empirical and their applicability <strong>for</strong> the dynamic stall effects occurring on floating wind turbines<br />
has yet to be investigated.<br />
For floating support plat<strong>for</strong>m <strong>design</strong>s with relatively little yaw stiffness, yawed inflow conditions also occur more<br />
<strong>of</strong>ten. Yawed inflow is also likely to occur frequently <strong>for</strong> proposed downwind floating concepts without tower-top<br />
mounted yaw drive (such as Sway’s concept). BEM theory originally assumes flow perpendicular to the rotor<br />
plane and the common skewed wake correction models introduced have been shown to give unreliable load<br />
predictions, with deviations increasing with higher yaw errors. The proposed downwind FOWT configurations,<br />
combined with the increased WT motions, also increase the importance <strong>of</strong> tower dam and shadow models as<br />
well as improved models <strong>for</strong> aerodynamic blade and tower interaction.<br />
While beyond the scope <strong>of</strong> this section, the aero-elastic representation <strong>of</strong> the rotor blade is also important when<br />
investigating the a<strong>for</strong>ementioned effects and has significant influence on the resulting loads and deflections<br />
CFD<br />
To model these aerodynamic effects, several possibilities exist. The computationally most demanding, but<br />
physically most accurate approach is to solve the Navier-Stokes Equations (NSE) with a CFD solver. In CFD, to<br />
model turbulent flows with their large range <strong>of</strong> length scales, three basic approaches exist. Direct Numerical<br />
Simulation (DNS), where the full Navier Stokes Equations are solved, needs all relevant length scales to be<br />
resolved by the computational grid, resulting in extremely large grids. With current available computational<br />
power, DNS is there<strong>for</strong>e not applicable to structures such as wind turbines with large Reynolds numbers. Large<br />
Eddy Simulation (LES), where larger turbulent structures are resolved, is well applicable <strong>for</strong> the turbine wake.<br />
To resolve the smaller turbulent structures in the boundary layer <strong>of</strong> the blades with LES is also currently very<br />
difficult to apply due to the very large number <strong>of</strong> necessary grid cells. The least computationally expensive<br />
method to model turbulent flows in CFD is the Unsteady Reynolds Averaged Navier Stokes (URANS) method.<br />
URANS uses a time-average <strong>for</strong>mulation <strong>of</strong> the NSE. The occurring nonlinear Reynolds stress term requires<br />
the introduction <strong>of</strong> turbulence models (<strong>for</strong> example 2-equation models like k-ω) to close the RANS equations.<br />
These turbulence models have large effects on the CFD solution and need to be selected carefully. A combination<br />
<strong>of</strong> URANS and LES, using URANS <strong>for</strong> the flow around the blades, and LES <strong>for</strong> the wake, is also possible<br />
and could provide a good solution <strong>for</strong> floating wind turbine modelling.<br />
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