The aim of the study is to retrieve the incident wave information that coincides with former Pico plant operation periods. The recent implementation of a directional pressure sensor for wave measurement as well as the recovery of the data gathered by a directional wave rider buoy allowed embarking on the validation of two different models by using both wave measurements: a model for wave propagation (SWAN) and an Artificial Neural Network (ANN). This paper, as a first step of a comprehensive study, leads to several recommendations to improve both methodologies in future works.
|Title of host publication||9th ewtec 2011 : Proceedings of the 9th European Wave and Tidal Conference, Southampton, UK, 5th-9th September 2011|
|Editors||AbuBakr S. Bahaj|
|Number of pages||10|
|Publisher||University of Southampton|
|Publication status||Published - 2011|
|Event||The 9th European Wave and Tidal Energy Conference : EWTEC 2011 - Southampton, United Kingdom|
Duration: 5 Sep 2011 → 9 Sep 2011
|Conference||The 9th European Wave and Tidal Energy Conference : EWTEC 2011|
|Period||05/09/2011 → 09/09/2011|
Bibliographical notePublished on a CD.
- Pico Plant
- Oscillating Water Column
- Artificial Neural Network (ANN)
- Wave Propagation Model
- Incident Wave Climate
Le Crom, I., Cabrera Bermejo, H., Pecher, A., Brito Azevedo, E., & Reis, F. V. (2011). Incident Wave Climate at the OWC Pico Plant: Validation of a Feed-Forward Based Propagation Method (ANN) and a Numerical Simulation (SWAN) with Measured Data. In A. S. Bahaj (Ed.), 9th ewtec 2011: Proceedings of the 9th European Wave and Tidal Conference, Southampton, UK, 5th-9th September 2011 University of Southampton.