Influence of an Improved Sea-State Description on a Wave Energy Converter Production

Kerbiriou, Marie-Aure ́lie; Prevosto, Marc; Maisondieu, Christophe; Babarit, A; ́ment, Alain Cle

doi:10.1115/omae2007-29254

Cited by 30 publications

(28 citation statements)

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“…Refs. [7] and [8] studied how an improved characterization of sea states influence the performance of a WEC. They stated that analytical spectrums are erroneous by 63% due to the existence of sea states with more than one peak.…”

Section: Introductionmentioning

confidence: 99%

Finding gaps on power production assessment on WECs: Wave definition analysis

et al. 2015

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a b s t r a c tThis paper presents a study of several factors that affect the long-term performance of Wave energy Converters (WECs) based on the methodology presented in de Andres et al. (2013). This methodology consists of a sea state selection technique (MaxDiss), then this selected sea states are introduced into a numerical model in order to calculate the power performance. Finally this data are interpolated with a non linear technique (Radial Basis functions) in order to obtain the long term performance of a WEC on a long met-ocean data series with low computational requirements. In this paper, three types of converter, a one body heaving converter (follower), a two-body resonant converter as well as a deep water flap are investigated. Also four different locations with different met-ocean conditions in terms of the scatter plots and the sea conditions (swell-wind sea) distribution were selected (North of Spain, West of Denmark, Chile and West of Ireland). The methodology worked perfectly for all the selected alternatives, although it was demonstrated to work better for non-resonant converters that are not band limited in their frequency response. Also, the classical method of power production assessment based on the power matrix was reviewed, analysing the analytical spectrum assumption. The influence of more than one peak spectrum on the power production was found to be large on a sea state by sea state basis (±200%) but also on the Annual Energy Production (±40%).

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Section: Introductionmentioning

confidence: 99%

Finding gaps on power production assessment on WECs: Wave definition analysis

et al. 2015

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“…For directional devices, some studies suggest that the influence of directionality is limited provided that the device is able to self-align with the mean direction of wave propagation (Kerbiriou et al, 2007).…”

Section: Numerical Modelling Of Wave Energy Convertersmentioning

confidence: 99%

“…Books were overtopping Low head turbine published by Falnes (2002) and Cruz (2008). In addition to devicespecific R&D, scientific research has been carried out on assessment of wave energy resource (Kerbiriou et al, 2007;Folley and Whittaker, 2009;Saulnier et al, 2011), on device control for maximising power capture (Hals et al, 2002;Babarit and Clément, 2006;Crétel et al, 2011;Clément and Babarit, 2012;Fusco and Ringwood, 2012), on device performance and on array interactions (Folley et al, 2012;Babarit, 2013).…”

Section: Landmark Studiesmentioning

confidence: 99%

Hydrodynamic modelling of marine renewable energy devices: A state of the art review

et al. 2015

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a b s t r a c tThis paper reviews key issues in the physical and numerical modelling of marine renewable energy systems, including wave energy devices, current turbines, and offshore wind turbines. The paper starts with an overview of the types of devices considered, and introduces some key studies in marine renewable energy modelling research. The development of new International Towing Tank Conference (ITTC) guidelines for model testing these devices is placed in the context of guidelines developed or under development by other international bodies as well as via research projects. Some particular challenges are introduced in the experimental and numerical modelling and testing of these devices, including the simulation of Power-Take-Off systems (PTOs) for physical models of all devices, approaches for numerical modelling of devices, and the correct modelling of wind load on offshore wind turbines. Finally, issues related to the uncertainty in performance prediction from model test results are discussed.

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“…Moreover, a more accurate design of wave energy converters is possible using spectral partitioning (cf. Kerbiriou et al, 2007).…”

Section: Introductionmentioning

confidence: 95%