Richard J.A.M. Stevens

Physics of Fluids · University of Twente

Publication 129 · Atmospheric turbulence

Modeling Multiscale Atmospheric Interactions in Wind-Farm Power Spectra

Y. Liu, R.J.A.M. Stevens, PRX Energy 5, 023012 (2026).

Main finding

A coherent conditional framework that unifies the tested spectra, but not a unique or out-of-sample validated atmospheric decomposition.

Wind-farm admittance and power spectra across frequency, LES compared with the dynamic sweeping model at three wind directions
How to read the figure. Aggregate wind-farm power output from large-eddy simulations (dotted) and the dynamic sweeping model (solid), at inflow angles of 0deg, 26deg and 45deg. (a) The admittance function falls from its correlated to its uncorrelated asymptote; a classical random sweeping model departs from the simulation data at low frequency. (b) Whole-farm and single-turbine spectra separate into correlated, transitional and uncorrelated bands, with the farm spectrum steepening through the transition. Model and simulation track each other across all three bands for the cases tested. Open the full-resolution figure. Figure 5. Y. Liu and R.J.A.M. Stevens (2026). No separate licence is stated here; consult the original publication and credited source before reuse.

Why this matters

Farms smooth fast fluctuations but share slow weather.

Research context

This work builds on Random-sweeping/coherence and wake-decoherence studies; Low-frequency wind speed variations and their impact on wind… supplies the moving-frame forcing strategy and same M5-derived signal. It is extended or accompanied by Impact of atmospheric turbulence on performance and loads of… frames multiscale turbulence gaps; Slow wake recovery and low turbulence behind wind farms… addresses mesoscale-grid wake recovery rather than spectra.

Read the article View in the complete publication list Related atmospheric boundary layer research