Improvements in the numerical modelling of wake effects for wave energy converter farms

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dc.contributor.advisor Murphy, James en
dc.contributor.advisor Lewis, Tony en
dc.contributor.advisor Thomas, Gareth en
dc.contributor.author Tomey Bozo, Nicolas
dc.date.accessioned 2019-04-25T09:10:56Z
dc.date.available 2019-04-25T09:10:56Z
dc.date.issued 2018
dc.date.submitted 2018
dc.identifier.citation Tomey Bozo, N. 2018. Improvements in the numerical modelling of wake effects for wave energy converter farms. PhD Thesis, University College Cork. en
dc.identifier.endpage 188 en
dc.identifier.uri http://hdl.handle.net/10468/7798
dc.description.abstract Ocean Energy Europe has estimated that 100 GW of ocean energy capacity (wave and tidal) could be deployed in Europe by 2050. Along with these European targets it is expected that large farms of Wave Energy Converters (WECs) will be installed in the sea and as part of the consenting process it will be necessary to quantify their impact on the local environment. The physics of the wave field around the WEC farm is important since it affects coastal processes and potentially marine activities located near by. Thus it will be mandatory to accurately quantify the local changes generated by the presence of a WEC farm and assess the significance of its impact. To address these concerns, the objective of this thesis is to improve the available numerical methodologies to assess wake effects for WEC farms in order to quantify their impact on the surrounding wave field. Two different methodologies have been developed in order to better represent WECs in wave propagation models (WPMs), the type of model to resolve wave transformation processes. The two methodologies use a WPM based on the mild-slope equations to solve the wave propagation across large domains and a wave-structure interaction Boundary Element Method (BEM) solver to assess the near-field wave-body interaction phenomenon. The first method is based on a representation of the WECs as obstacle cells that are tuned based on the wave field obtained from the BEM solver. The second method looks into the description of the wave perturbation generated by the WEC by coupling the results obtained from the BEM solver into the WPM as an internal boundary condition. The methods accuracy is assessed together with case scenarios accounting for realistic environmental conditions such as irregular sea states and irregular bathymetries. Thus, as part of the accomplishments of this thesis two innovative numerical methodologies were developed, which include the main transformation processes surrounding a WEC farm for medium scale domains using realistic bathymetries. en
dc.format.mimetype application/pdf en
dc.language.iso en en
dc.publisher University College Cork en
dc.rights © 2018, Nicolas Tomey Bozo. en
dc.rights.uri http://creativecommons.org/licenses/by-nc-nd/3.0/ en
dc.subject Wave energy en
dc.subject Marine energy en
dc.subject Wave energy converter en
dc.subject Wave farm en
dc.subject Wake effect en
dc.subject Wave climate en
dc.title Improvements in the numerical modelling of wake effects for wave energy converter farms en
dc.type Doctoral thesis en
dc.type.qualificationlevel Doctoral en
dc.type.qualificationname PhD en
dc.internal.availability Full text available en
dc.check.info Not applicable en
dc.description.version Accepted Version
dc.contributor.funder Seventh Framework Programme en
dc.description.status Not peer reviewed en
dc.internal.school Civil and Environmental Engineering en
dc.check.type No Embargo Required
dc.check.reason Not applicable en
dc.check.opt-out Not applicable en
dc.thesis.opt-out false
dc.check.embargoformat Embargo not applicable (If you have not submitted an e-thesis or do not want to request an embargo) en
ucc.workflow.supervisor jimmy.murphy@ucc.ie
dc.internal.conferring Summer 2019 en
dc.internal.ricu Centre for Marine Renewable Energy Ireland (MaREI) en
dc.relation.project info:eu-repo/grantAgreement/EC/FP7::SP3::PEOPLE/607656/EU/OceaNET/OCEANET en


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© 2018, Nicolas Tomey Bozo. Except where otherwise noted, this item's license is described as © 2018, Nicolas Tomey Bozo.
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