Open AccessBenefits of using a spectral hindcast database for wave power extraction assessment
Author(s) -
Christophe Maisondieu,
Marc Le Boulluec
Publication year - 2016
Publication title -
the international journal of ocean and climate systems
Language(s) - English
Resource type - Journals
eISSN - 1759-314X
pISSN - 1759-3131
DOI - 10.1177/1759313116649967
Subject(s) - hindcast , bandwidth (computing) , spectral density , computer science , meteorology , environmental science , remote sensing , telecommunications , physics , geology
When considering deployment of wave energy converters at a given site, it is of prime importance from both a technical and an economical point of view to accurately assess the total yearly energy that can be extracted by the given device.Especially, to be considered is the assessment of the efficiency of the device over the widest span of the sea-states spectral bandwidth. Hence, the aim of this study is to assess the biases and errors introduced on extracted power classically computed using spectral data derived from analytical functions such as a JONSWAP spectrum, compared to the power derived using actual wave spectra obtained from a spectral hindcast database
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom