FN Archimer Export Format
PT J
TI Refinements of sea state statistics for marine renewables: A case study from simultaneous buoy measurements in Portugal
BT 
AF SAULNIER, Jean Baptiste
   PREVOSTO, Marc
   MAISONDIEU, Christophe
AS 1:1;2:2;3:2;
FF 1:PDG-DOP-DCB-RDT-HO;2:PDG-REM-RDT-HO;3:PDG-REM-RDT-HO;
C1 Univ Exeter, Renewable Energy Grp, Camborne Sch Mines, CEMPS, Penryn TR10 9EZ, Cornwall, England
   IFREMER, Ctr Brest, DCB ERT HO, F-29280 Plouzane, France
C2 UNIV EXETER, UK
   IFREMER, FRANCE
SI BREST
SE PDG-DOP-DCB-RDT-HO
   PDG-REM-RDT-HO
IN WOS Ifremer jusqu'en 2018
   copubli-europe
IF 2.978
TC 16
UR https://archimer.ifremer.fr/doc/00037/14813/12196.pdf
LA English
DT Article
DE ;Sea state;Directional spectrum;Wave systems;Spectrum partitioning;Spectral bandwidth;Directional spreading
AB This paper presents a refined description of the wave climate observed in a Portuguese location for marine energy projects. The data used in this case study were derived from 3-month in situ measurements carried out using three directional buoys that have been deployed simultaneously – yet independently (various buoy types and water depths) – on the Atlantic coast in the neighbourhood of Figueira da Foz. Two ways of reporting the statistics were adopted. In the first one, each recorded sea state was summarized as a set of global parameters accounting for energy, mean frequency and direction, spectral bandwidth and directional spreading related to the main ongoing wave field considered as unimodal. In the second one, each sea state has been decomposed into its own wave components – swells and wind-sea – which are characterised separately and individually by the same set of parameters as previously. Besides the adopted data processing techniques and the illustration of such thorough wave climate description modes, the paper also addresses the advantages and limits of each adopted parameterization in the frame of simultaneous and independent in situ wave measurements. Highlights  ► Wave statistics produced considering unimodal and multimodal sea-state descriptions. ► Spectral bandwidth and directional spreading are included in both descriptions. ► Spectral bandwidth is significantly correlated to wave energy/peak period. ► Wave directional spreading is difficult to estimate in absolute terms. ► Directional artefacts are obtained with Maximum Entropy Methods in some cases.
PY 2011
PD NOV
SO Renewable Energy
SN 0960-1481
PU Pergamon-elsevier Science Ltd
VL 36
IS 11
UT 000292441400011
BP 2853
EP 2865
DI 10.1016/j.renene.2011.04.015
ID 14813
ER

EF