Wakes at scale: data, dynamics and machine learning

When: Wednesday, 22 April 2026, 14:00 - 15:00
Where: N106

Session chair

Mike Anderson

Member, ETIPWind Steering Committee

Miriam Marchante Jiménez

Chief Specialist, Asset Value Engineering, Ørsted

Presentations

Characterizing the local spatial dynamics of wind turbine wake flows

Janka Lengyel

Postdoctoral researcher, ForWind - Center for Wind Energy Research

Hybrid wake modeling: a machine learning framework for optimal weighting of physics-based model ensembles

Samuel Davoust

Science lead and co-founder, Tipspeed

Quantifying long distance extra-park wakes using floating lidar windspeed measurements

Phillip Hargreaves

Senior Specialist, Wind and Metocean, TGS

What really happens with wakes at high wind speeds.

Leonardo Barriatto

CFD Global Product Manager, DNV