The doi above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
doi: 10.4121/164890ab-39d7-4af8-8b3c-9e21f789b80a

Erik Fritz; Ribeiro, Andre; Koen Boorsma; Carlos Ferreira (2024): Supporting data belonging to the publication Aerodynamic characterisation of a thrust-scaled IEA 15 MW wind turbine model: experimental insights using PIV data. Version 2. 4TU.ResearchData. dataset. https://doi.org/10.4121/164890ab-39d7-4af8-8b3c-9e21f789b80a.v2

Dataset

x choose version: version 1 - 2024-01-11

• Renewable Energy
• Energy

Particle image velocimetry, Wind tunnel experiments, Wind turbine aerodynamics

CC BY 4.0

RefWorks, BibTeX, Reference Manager, Endnote, DataCite, NLM, DC, CFF

by Erik Fritz , Andre Ribeiro, Koen Boorsma, Carlos Ferreira

This dataset is intended to support the findings of the publication "Aerodynamic characterisation of a thrust-scaled IEA 15 MW wind turbine model: Experimental insights using PIV data" by Fritz et al. (2024). The dataset contains the flow fields obtained using Particle Image Velocimetry during a wind tunnel experiment on a thrust-scaled model of the IEA 15 MW reference wind turbine. Furthermore, the blade-level aerodynamics, derived from the measured flow fields, are given. The dataset is completed by the planform describing the model blade geometry and the operating conditions logged during the experimental campaign. This research, and thus this dataset, aims to provide experimental data that can be used for the validation of numerical simulation models and/or serve as a baseline for future wind tunnel campaigns on this wind turbine model.

• 2024-01-11 first online

• 2024-06-24 published, posted

4TU.ResearchData

All data is given in zipped folders containing plain text .dat files.

Aerodynamic characterisation of a thrust-scaled IEA 15 MW wind turbine model: experimental insights using PIV data

• This contribution has been financed with Topsector Energiesubsidie from the Dutch Ministry of Economic Affairs under grant no. TEHE119018.

TU Delft, Faculty of Aerospace Engineering, Department of Aerodynamics, Wind Energy & Propulsion;
TNO Energy Transition, Wind Energy, Petten, Netherlands