A blind test on wind turbine wake modelling

Benchmark results and Phase II announcement

Journal Article (2025)
Author(s)

I. Chondromatidis (School of Mechanical Engineering - NTUA)

V. Pappa (School of Mechanical Engineering - NTUA)

B. S. Dsouza (TU Delft - Aerodynamics)

A. Sciacchitano (TU Delft - Aerodynamics)

S. Tamaro (Technische Universität München)

F. V. Mühle (Technische Universität München)

F. Campagnolo (Technische Universität München)

M. M Manolesos (School of Mechanical Engineering - NTUA)

Research Group
Aerodynamics
DOI related publication
https://doi.org/10.1088/1742-6596/3016/1/012035
More Info
expand_more
Publication Year
2025
Language
English
Research Group
Aerodynamics
Issue number
1
Volume number
3016
Reuse Rights

Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.

Abstract

Accurate modelling of wind turbine wakes is critical for optimizing wind farm performance, but the complexity of wake interactions poses significant challenges. This study presents a two-phase blind test campaign, part of the Horizon Europe TWEET-IE project, designed to benchmark numerical models and investigate wake control strategies using wind tunnel experiments. Conducted with tandem wind turbine models at the Technical University of Munich and the National Technical University of Athens, the tests include inflow, load, power, and wake velocity measurements under controlled conditions. Phase I serves as an open-data benchmarking exercise for a baseline scenario without wake control, while Phase II introduces active individual blade pitch control to the upstream turbine, challenging participants to simulate advanced wake dynamics. This paper reviews Phase I results and details the experimental framework for Phase II, providing a foundation for advancing wake modelling and control in wind energy research.