Abstract
A wind turbine operating inside a wind farm is subjected to increased turbulence intensity and reduced wind speeds resulting in increased fatigue loadings and reduced power production. Furthermore, meandering of the wakes results in increased dynamic loading of the wind turbine. In the present study, a standalone dynamic wake meandering (DWM) model has been developed and implemented in commercial code SIMA. The standalone DIWA model does not require a direct coupling with aeroelastic code, hence it is computationally fast. Although the standalone tool is a good alternative for power and thrust prediction, it does not have the capability to predict the turbine aeroelastic loads. The new DWM program is referred as “Disturbed Inflow Wind Analyzer” (DIWA). Benchmarking studies of DIWA with the literature data are presented and discussed. Overall the DIWA compares well with the literature data and the discrepancies between DIWA and the literature data are discussed. The present studies show that the wake deficit profiles are very sensitive to the eddy viscosity parameters. Finally, the turbulence boxes generated using DIWA have been used for understanding the aeroelastic behaviour of NREL 5MW turbine and one of the wind turbines from the Lillgrund wind park. The estimated power production using both aeroelastic coupled with DIWA turbulence boxes and standalone DIWA (without aeroelastic) are in good agreement with the literature data. The trends of fatigue loads are predicted well, with a few exceptions.
Highlights
Wind power is identified by the Intergovernmental Panel on Climate Change (IPCC) as one of the most promising renewable energy technologies for competing on cost with existing energy sources
The estimated power production using both aeroelastic coupled with Disturbed Inflow Wind Analyzer" (DIWA) turbulence boxes and standalone DIWA are in good agreement with the literature data
A first hypothesis state that the wake meandering is due to large-scale turbulent eddies contained in the atmospheric boundary layer
Summary
Wind power is identified by the Intergovernmental Panel on Climate Change (IPCC) as one of the most promising renewable energy technologies for competing on cost with existing energy sources. The first hypothesis proposed by Madsen et al [17] state that the large-scale turbulent eddies contained in the atmospheric flows are responsible for wake meandering. Whereas the large-scale eddies, larger than the rotor diameter, are responsible for the meandering of the wakes [21], [22] Both Bingöl et al [23] and Trujillo et al [24] verified the first hypothesis by performing a couple of field measurements. Substantially low-frequency tower reaction forces due to vortex shedding have never been reported from full-scale load measurements This argument from Bingöl et al [23] indicates that the second hypothesis is not possible. DIWA model is employed to understand the aeroelastic behaviour of a park consisting of two NREL 5MW wind turbine in a row
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