Book chapter · Conference paper
A data-based modelling approach for a vented oscillating water column wave energy converter
The approach documented in this paper employs system identification (SI), or data-based modelling, techniques as an alternative to model determination from first principles for modelling a vented oscillating water column wave energy converter, using real wave tank data gathered at Danmarks Tekniske Universitet.
In SI, the parameters of the model are obtained from the experimental input/output data by minimizing a cost function, related to model fidelity. The main advantage of SI is its simplicity, as well as its potential validity range, where the dynamic model is valid over the full range for which the identification data was recorded.
Furthermore, SI models are somewhat flexible, since they can be solely based on data (black-box models), or else can incorporate some physics-based information (grey-box models). However, a suitable excitation signal is of primary importance for the parametric model to be representative over a wide range of operating conditions.
Language: | English |
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Publisher: | CRC Press |
Year: | 2023 |
Pages: | 339-350 |
Proceedings: | Proceedings of the 5th International Conference on Renewable Energies Offshore (Renew 2022) |
Series: | Marine Technology and Ocean Engineering Series |
Journal subtitle: | Proceedings of the 5th International Conference on Renewable Energies Offshore (renew 2022, Lisbon, Portugal, 8–10 November 2022) |
ISBN: | 1000837319 , 1003360777 , 1032420030 , 1032420049 , 9781000837315 , 9781003360773 , 9781032420035 and 9781032420042 |
Types: | Book chapter and Conference paper |
DOI: | 10.1201/9781003360773-39 |
ORCIDs: | Bingham, H. B. and Joensen, B. |