التفاصيل البيبلوغرافية
| العنوان: |
Revealing inflow and wake conditions of a 6MW floating turbine. |
| المؤلفون: |
Angelou, Nikolas, Mann, Jakob, Dubreuil-Boisclair, Camille |
| المصدر: |
Wind Energy Science; 2023, Vol. 8 Issue 10, p1511-1531, 21p |
| مصطلحات موضوعية: |
WIND turbines, WIND power plants, ROTORS, MOTION |
| مصطلحات جغرافية: |
SCOTLAND |
| مستخلص: |
We investigate the characteristics of the inflow and the wake of a 6MW floating wind turbine from the Hywind Scotland offshore wind farm, the world's first floating wind farm. We use two commercial nacellemounted lidars to measure the up- and downwind conditions with a fixed and a scanning measuring geometry, respectively. In the analysis, the effect of the pitch and roll angles of the nacelle on the lidar measuring location is taken into account. The upwind conditions are parameterized in terms of the mean horizontal wind vector at hub height, the shear and veer of the wind profile along the upper part of the rotor, and the induction of the wind turbine rotor. The wake characteristics are studied in two narrow wind speed intervals between 8.5-9.5 and 12.5-13.5ms-1, corresponding to below and above rotor rated speeds, respectively, and for turbulence intensity values between 3.3 %-6.4 %. The wake flow is measured along a horizontal plane by a wind lidar scanning in a plan position indicator mode, which reaches 10D downwind. This study focuses on the downstream area between 3 and 8 D. In this region, our observations show that the transverse profile of the wake can be adequately described by a self-similar wind speed deficit that follows a Gaussian distribution. We find that even small variations (~ 1 %-2 %) in the ambient turbulence intensity can result in an up to 10% faster wake recovery. Furthermore, we do not observe any additional spread of the wake due to the motion of the floating wind turbine examined in this study. [ABSTRACT FROM AUTHOR] |
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| قاعدة البيانات: |
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