Projects per year
Abstract
Airborne wind energy systems use tethered flying devices to harvest wind energy beyond the height range accessible to tower-based wind turbines. Current commercial prototypes have reached power ratings of up to several hundred kilowatts, and companies are aiming at long-term operation in relevant environments. As consequence, system reliability, operational robustness, and safety have become crucially important aspects of system development. In this study, we analyze the reliability and safety of a 100-kW technology development platform with the objective of achieving continuous automatic operation. We first outline the different components of the kite power system and its operational modes. In the next step, we identify failure modes, their causes, and effects by means of failure mode and effects analysis (FMEA) and fault tree analysis (FTA). Potentially hazardous situations and mechanisms which can render the system nonoperational are identified, and mitigation measures are proposed. We find that the majority of these measures can be performed by a failure detection, isolation, and recovery (FDIR) system for which we present a hierarchical architecture adapted from space industry.
Original language | English |
---|---|
Pages (from-to) | 340-356 |
Number of pages | 17 |
Journal | Wind Energy |
Volume | 23 |
Issue number | 2 |
DOIs | |
Publication status | Published - 2019 |
Keywords
- airborne wind energy
- fault detection
- fault isolation
- fault recovery
- FDIR
- FMEA
- FTA
- health monitoring
- kite power
- reliability
- safety
Fingerprint
Dive into the research topics of 'Improving reliability and safety of airborne wind energy systems'. Together they form a unique fingerprint.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 Finished
-
REACH: Resource Efficient Automatic Conversion of High-Altitude Wind
Schmehl, R., Peschel, J. O. & Schelbergen, M.
1/12/15 → 31/08/19
Project: Research
File