Offshore wind farm global blockage measured with scanning lidar
<p>The objective of this paper was the experimental investigation of the accumulated induction effect of a large offshore wind farm as a whole, i.e. the global-blockage effect, in relation to atmospheric-stability estimates and wind farm operational states. We measured the inflow of a 400 <...
Main Authors: | , , , , |
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Format: | Article |
Language: | English |
Published: |
Copernicus Publications
2021-04-01
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Series: | Wind Energy Science |
Online Access: | https://wes.copernicus.org/articles/6/521/2021/wes-6-521-2021.pdf |
Summary: | <p>The objective of this paper was the experimental investigation of the accumulated induction effect of a large offshore wind farm as a whole,
i.e. the global-blockage effect, in relation to atmospheric-stability estimates and wind farm operational states. We measured the inflow of a
400 <span class="inline-formula">MW</span> offshore wind farm in the German North Sea with a scanning long-range Doppler wind lidar. A methodology to reduce the statistical
variability of different lidar scans at comparable measurement conditions was introduced, and an extensive uncertainty assessment of the averaged
wind fields was performed to be able to identify the global-blockage effect, which is small compared to e.g. wind turbine wake effects and ambient
variations in the inflow. Our results showed a 4 % decrease in wind speed (accuracy range of 2 % to 6 %) at transition piece height
(24.6 <span class="inline-formula">m</span>) upwind of the wind farm with the turbines operating at high thrust coefficients above 0.8 in a stably stratified atmosphere, which
we interpreted as global blockage. In contrast, at unstable stratification and similar operating conditions and for situations with low thrust
coefficients (i.e. approx. 0 for not operating turbines and <span class="inline-formula">≤</span> 0.3 for turbines operating far above rated wind speed) we identified no wind
speed deficit. We discussed the significance of our measurements and possible sources of error in long-range scanning lidar campaigns and give
recommendations on how to measure small flow effects like global blockage with scanning Doppler lidar. In conclusion, we provide strong evidence for
the existence of global blockage in large offshore wind farms in stable stratification and the turbines operating at a high thrust coefficient by
planar lidar wind field measurements. We further conclude that global blockage is dependent on atmospheric stratification.</p> |
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ISSN: | 2366-7443 2366-7451 |