Measurements of surface-layer turbulence in awide norwegian fjord using synchronized long-range doppler wind lidars

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Abstract

Three synchronized pulsed Doppler wind lidars were deployed from May 2016 to June 2016 on the shores of a wide Norwegian fjord called Bjørnafjord to study the wind characteristics at the proposed location of a planned bridge. The purpose was to investigate the potential of using lidars to gather information on turbulence characteristics in the middle of a wide fjord. The study includes the analysis of the single-point and two-point statistics of wind turbulence, which are of major interest to estimate dynamic wind loads on structures. The horizontal wind components were measured by the intersecting scanning beams, along a line located 25m above the sea surface, at scanning distances up to 4.6km. For a mean wind velocity above 8m·s-1, the recorded turbulence intensity was below 0.06 on average. Even though the along-beam spatial averaging leads to an underestimated turbulence intensity, such a value indicates a roughness length much lower than provided in the European standard EN 1991-1-4:2005. The normalized spectrum of the along-wind component was compared to the one provided by the Norwegian Petroleum Industry Standard and the Norwegian Handbook for bridge design N400. A good overall agreement was observed for wave-numbers below 0.02m-1. The along-beam spatial averaging in the adopted set-up prevented a more detailed comparison at larger wave-numbers, which challenges the study of wind turbulence at scanning distances of several kilometres. The results presented illustrate the need to complement lidar data with point-measurement to reduce the uncertainties linked to the atmospheric stability and the spatial averaging of the lidar probe volume. The measured lateral coherence was associated with a decay coefficient larger than expected for the along-wind component, with a value around 21 for a mean wind velocity bounded between 10m·s-1 and 14m·s-1, which may be related to a stable atmospheric stratification.

Figures

  • Table 1. Previous field measurements conducted using scanning pulsed lidar(s) to measure wind statistics in the surface layer at scanning distances larger than 1 km, such as the mean wind velocity m1, the velocity standard deviation m2, the turbulence length scales L, the wind velocity spectrum S and/or the coherence γ.
  • Figure 1. Location of the three pulsed wind lidars (triangles) in the Bjørnafjord and location of the planned fjord crossing (dashed line).
  • Table 2. Characteristics of the modified WindCube 200S used in the long-range WindScanner system during the Bjørnafjord measurement campaign.
  • Figure 2. (left) North-South (N-S) scanning configuration; (right) East-West (E-W) scanning configuration.
  • Table 3. Azimuth angles, elevation angles, maximal range rmax and sampling frequency fs at which the wind data are recorded for each lidar configuration.
  • Figure 3. Along-beam velocity component recorded by the Lidar West 2 and the Lidar East on 2016-06-07 (East-West configuration), and corresponding retrieved horizontal wind components.
  • Table 4. Decay coefficients provided by the Handbook N400 [9] for the coherence model in Equation (14).
  • Figure 4. (left) influence of the along-beam spatial averaging (ABSA) effect of the WindCube on the measured normalized spectrum defined in the Handbook N400, using an arbitrary mean wind velocity u = 10 m·s−1 at z = 25 m; (right) estimation of the corresponding deficit e of the estimated standard deviation of the along-wind velocity due to the ABSA.

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APA

Cheynet, E., Jakobsen, J. B., Snæbjörnsson, J., Mann, J., Courtney, M., Lea, G., & Svardal, B. (2017). Measurements of surface-layer turbulence in awide norwegian fjord using synchronized long-range doppler wind lidars. Remote Sensing, 9(10). https://doi.org/10.3390/rs9100977

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