A data-based modelling approach for a vented oscillating water column wave energy converter

M. Rosati, J. V. Ringwood, H. B. Bingham, B. Joensen, Kim Nielsen

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Citations (Scopus)


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.
Original languageEnglish
Title of host publicationTrends in Renewable Energies Offshore
Subtitle of host publicationProceedings of the 5th International Conference on Renewable Energies Offshore
EditorsC. Guedes Soares
PublisherCRC Press/Balkema
Number of pages12
ISBN (Print)978-1-032-42003-5
Publication statusPublished - 2023
EventRENEW 2022 - Lisbon, Portugal
Duration: 8 Nov 202210 Nov 2022

Publication series

NameMarine Technology and Ocean Engineering Series
PublisherCRC Press


ConferenceRENEW 2022


  • Wave Energy
  • Tidal Energy
  • Renewable Energy Devices


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