ResourceCODE framework: A high-resolution wave parameter dataset for the European Shelf and analysis toolbox

Type Proceedings paper
Date 2021-09
Language English
Author(s) Accensi MickaelORCID1, Alday Gonzalez Matias Felipe5, Maisondieu ChristopheORCID2, Raillard NicolasORCID2, Darbynian David6, Old Chris9, Sellar Brian9, Thilleul Olivia3, Perignon Yves3, Payne Gregory3, O'Boyle Louise8, Fernandez Leandro7, Dias Frederic7, Chumbinho Rogerio8, Guitton Gilles4
Affiliation(s) 1 : IFREMER, LOPS, Plouzané, France
2 : IFREMER, LCSM, Plouzané, France
3 : Ecole Centrale Nantes, Nantes, France
4 : OceanDataLab, Plouzané, France
5 : CNRS, LOPS, Plouzané, France
6 : EMEC, Orkney, UK
7 : University of Dublin, Dublin, Ireland
8 : WiseBlue Marine, Galway, Ireland
9 : University of Edinburg, Edinburg, UK
Meeting EWTEC 2021 - 14th European Wave and Tidal Energy Conference, 5th to 9th September 2021, Plymouth, UK
Source Proceedings of the 14th European Wave and Tidal Energy Conference 5-9th Sept 2021, Plymouth, UK. ISSN: 2706-6940 (online) 2706-6932 (CD-ROM) 2706-6932 (Print). pp.2182-1-2182-9
Keyword(s) Hindcast database, Statistics, Analytical tools.
Abstract

Resource mapping is a key element in the planning and consequent deployment of Offshore Renewable Energy (ORE) converters. A proper characterization of the environmental forcing enables the optimization of energy extraction and a more accurate assessment of the structural loading. This contributes to improving reliability and extending the operational life of devices at a given extraction site. Providing an accurate characterisation of the environmental loading is subjected to the availability and quality of relevant datasets, which are either obtained from measurements, in-situ or via remote sensing, or from numerical models. Then, the adequate use of these datasets relies on the analysis’ tools and selected methods which allow an appropriate description of the underlying physics.

This paper presents the high-resolution wave hindcast database extending across European waters and developed to be the reference dataset of the ResourceCODE Marine Data Toolbox, designed to provide a full suite of tools to support ocean energy analytics.



 

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Accensi Mickael, Alday Gonzalez Matias Felipe, Maisondieu Christophe, Raillard Nicolas, Darbynian David, Old Chris, Sellar Brian, Thilleul Olivia, Perignon Yves, Payne Gregory, O'Boyle Louise, Fernandez Leandro, Dias Frederic, Chumbinho Rogerio, Guitton Gilles (2021). ResourceCODE framework: A high-resolution wave parameter dataset for the European Shelf and analysis toolbox. Proceedings of the 14th European Wave and Tidal Energy Conference 5-9th Sept 2021, Plymouth, UK. ISSN: 2706-6940 (online) 2706-6932 (CD-ROM) 2706-6932 (Print). pp.2182-1-2182-9. https://archimer.ifremer.fr/doc/00736/84812/