Projects per year
Description
This repository provides tools to process flight data and apply an Extended Kalman Filter (EKF) to estimate the dynamic state of a kite system in Airborne Wind Energy Systems (AWES). The EKF processes essential flight data inputs and generates accurate estimates of the kite's state, helping researchers and engineers model and analyze kite-based wind energy systems effectively.
| Date made available | 23 Apr 2025 |
|---|---|
| Publisher | GitHub/Zenodo |
Software license
- MIT
Datasets
-
Kite power flight data acquired on 8 October 2019
Schmehl, R. (Creator), Schelbergen, M. (Creator), Buchholz, B. B. E. (Creator), Breuer, J. C. M. (Creator) & Peschel, J. O. (Creator), TU Delft - 4TU.ResearchData, 10 Jun 2024
DOI: 10.4121/19376174
Dataset/Software: Dataset
Projects
- 1 Active
-
MERIDIONAL: Multiscale modelling for wind farm design, performance assessment and loading
Schmehl, R., Watson, S. J., Allaerts, D. J. N., De Tavernier, D. A. M., von Terzi, D. A., Peschel, J., Fagiano, L., Bauer, F., Cheng, P. W. & Cayon, O.
1/10/22 → 30/09/26
Project: Research