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: 10.4121/99662eaf-ac79-4952-ad80-6d7de3708427

Erik Fritz; Kelley, Christopher; Brown, Kenneth (2024): Supporting data belonging to the publication On optimizing the sensor spacing for pressure measurements on wind turbine airfoils. Version 2. 4TU.ResearchData. dataset. https://doi.org/10.4121/99662eaf-ac79-4952-ad80-6d7de3708427.v2

Dataset

x choose version: version 1 - 2024-01-17

• Renewable Energy
• Energy

Airfoil aerodynamics, Pressure measurements, Sensor layout optimization

CC BY 4.0

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

by Erik Fritz , Christopher Kelley , Kenneth Brown

This dataset is intended to support the findings of the publication "On optimizing the sensor spacing for pressure measurements on wind turbine airfoils" by Fritz, Kelley and Brown (2024). The dataset contains a Matlab routine that runs the pressure sensor optimization for the FFA-W3-241 airfoil based on a genetic algorithm as well as a sequential quadratic programming optimization routine. It imports results of the widely used code XFOIL as input. Results are compared against a cosine sensor spacing. This script aims to provide a simplified overview of how these optimization routines are implemented in Matlab and how the results can be interpreted.

• 2024-01-17 first online

• 2024-09-05 published, posted

4TU.ResearchData

The main routine as well as auxiliary functions are implemented in Matlab. Input files are given as plain text .dat files.

On optimizing the sensor spacing for pressure measurements on wind turbine airfoils

TU Delft, Faculty of Aerospace Engineering, Department of Aerodynamics, Wind Energy & Propulsion;
TNO Energy Transition, Wind Energy, Petten, Netherlands
Sandia National Laboratories, Albuquerque, United States of America