Richard J.A.M. Stevens

Physics of Fluids · University of Twente

Publication 126 · Atmospheric turbulence

Low-frequency wind speed variations and their impact on wind farm performance

Y. Liu, A. Stieren, R.J.A.M. Stevens, J. Renewable Sustainable Energy 18, 043304 (2026).

Main finding

Conditional numerical evidence for wake-history asymmetry under prescribed speed forcing, not a field-validated mesoscale response law.

Imposed wind speed over eighteen hours with the resulting wind farm power beneath
How to read the figure. A prescribed hub-height wind speed varying over eighteen hours (a), with the acceleration and deceleration events marked, and the resulting farm power at two thrust settings (b, c). The same wind speed gives different power depending on whether the farm is speeding up or slowing down: the farm carries the memory of its own wake history. This is conditional numerical evidence under prescribed forcing, not a field-validated mesoscale response law. Open the full-resolution figure. Figure 4. Y. Liu et al. (2026). No separate licence is stated here; consult the original publication and credited source before reuse.

Why this matters

Wind farms remember prior wind conditions.

Research context

This work builds on Concurrent-precursor and wind-farm LES lineage; dynamic-flow and spectral coherence work. It is extended or accompanied by Modeling Multiscale Atmospheric Interactions in Wind-Farm Power Spectra uses the same imposed signal and numerical strategy to build a multiscale spectral-coherence model.

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