Abstract
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.
Originalsprog | Engelsk |
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Titel | 9th ewtec 2011 : Proceedings of the 9th European Wave and Tidal Conference, Southampton, UK, 5th-9th September 2011 |
Redaktører | AbuBakr S. Bahaj |
Antal sider | 10 |
Forlag | University of Southampton |
Publikationsdato | 2011 |
Status | Udgivet - 2011 |
Begivenhed | The 9th European Wave and Tidal Energy Conference : EWTEC 2011 - Southampton, Storbritannien Varighed: 5 sep. 2011 → 9 sep. 2011 |
Konference
Konference | The 9th European Wave and Tidal Energy Conference : EWTEC 2011 |
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Land/Område | Storbritannien |
By | Southampton |
Periode | 05/09/2011 → 09/09/2011 |
Bibliografisk note
Udgivet på CD.Emneord
- Pico Plant
- Oscillating Water Column
- Artificial Neural Network (ANN)
- Wave Propagation Model
- Incident Wave Climate