Wind farm global blockage as an adverse pressure gradient problem: turbulence amplification and spectral modification in the induction region of a model wind farm
Adrian T. McGlade, Oliver R. H. Buxton
Abstract
The induction region of a model wind farm is investigated experimentally as an adverse pressure gradient (APG) turbulent boundary layer problem, using hot-wire anemometry. An array of porous discs, with diameter D=50\,mm representing the farm, in multiple configurations across two turbulent boundary layers of different depths, with farm-present and farm-absent configurations compared throughout. The farm imposes a spatially developing adverse pressure gradient in the approach flow. Spanwise-averaged measurements reveal systematic farm-scale global blockage extending to at least 10D upstream in all cases. The farm-induced turbulence intensity increase, which reaches up to 7\% relative to the farm-absent reference for the shallowest boundary layer, is shown by cumulative variance decomposition to be carried predominantly by large-scale motions of the boundary layer, whilst the small-scale turbulence intensity is only weakly affected. This selective large-scale energisation is consistent with the outer-layer amplification driven by an adverse pressure gradient. The concentration of farm-induced turbulence energy at scales comparable to or larger than the rotor diameter has direct implications for turbine fatigue loading, preferentially exciting coherent rotor-scale load fluctuations at the frequencies most damaging under fatigue. The results establish a quantitative link between wind farm global blockage and APG boundary layer physics.
Create a lesson
Related papers
Particle dynamics in a microfluidic T-junction vortex flow: the role of history force
Matteo Chiatto, Luigi de Luca, Howard A. Stone et al.
Predicting the Final Stationary State of Sheared 2D Euler Fluids
Renato Pakter, Yan Levin
Re-emergence of fingering in solidifying liquid-metal drops
Siyu Zhang, Feng Wang, Yuan Ma et al.
The binormal flow: a toy model for turbulence
Elena Danesi, Pablo Merino, Luis Vega
Non intrusive parametric Reduced Order Models based on physics for incompressible flow
Cyrille Allery, Claudine Beghein
Conjugate heat transfer in turbulent pipe flow with azimuthally non-uniform heating
Jonathan Neuhauser, Davide Gatti, Bettina Frohnapfel