Articles | Volume 6, issue 2
Wind Energ. Sci., 6, 521–538, 2021
Wind Energ. Sci., 6, 521–538, 2021
Research article
13 Apr 2021
Research article | 13 Apr 2021

Offshore wind farm global blockage measured with scanning lidar

Jörge Schneemann et al.

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Cited articles

Allaerts, D. and Meyers, J.: Gravity Waves and Wind-Farm Efficiency in Neutral and Stable Conditions, Bound.-Lay. Meteorol., 166, 269–299,, 2017. a
Bell, T. M., Klein, P., Wildmann, N., and Menke, R.: Analysis of flow in complex terrain using multi-Doppler lidar retrievals, Atmos. Meas. Tech., 13, 1357–1371,, 2020. a
Bleeg, J.: A Graph Neural Network Surrogate Model for the Prediction of Turbine Interaction Loss, J. Phys. Conf. Ser., 1618, 062054,, 2020. a
Bleeg, J., Purcell, M., Ruisi, R., and Traiger, E.: Wind Farm Blockage and the Consequences of Neglecting Its Impact on Energy Production, Energies, 11, 1609,, 2018. a, b, c, d, e, f, g, h, i, j, k, l, m
Branlard, E. and Meyer Forsting, A. R.: Assessing the blockage effect of wind turbines and wind farms using an analytical vortex model, Wind Energy, 23, 2068–2086,, 2020. a, b
Short summary
A wind farm can reduce the wind speed in front of it just by its presence and thus also slightly impact the available power. In our study we investigate this so-called global-blockage effect, measuring the inflow of a large offshore wind farm with a laser-based remote sensing method up to several kilometres in front of the farm. Our results show global blockage under a certain atmospheric condition and operational state of the wind farm; during other conditions it is not visible in our data.