An improved method for energy and resource assessment of waves in finite water depths

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dc.contributor.author Sheng, Wanan
dc.contributor.author Li, Hui
dc.contributor.author Murphy, Jimmy
dc.date.accessioned 2017-09-26T11:39:24Z
dc.date.available 2017-09-26T11:39:24Z
dc.date.issued 2017
dc.identifier.citation Sheng, W., Li, H. and Murphy, J. (2017) 'An improved method for energy and resource assessment of waves in finite water depths', Energies, 10(8), 1188 (17pp). doi: 10.3390/en10081188 en
dc.identifier.volume 10
dc.identifier.issued 8
dc.identifier.issn 1996-1073
dc.identifier.uri http://hdl.handle.net/10468/4814
dc.identifier.doi 10.3390/en10081188
dc.description.abstract For cost savings and ease of operation, nearshore regions have been considered as ideal regions for deploying wave energy converters (WECs) and wave farms. As the water depths of these regions may be frequently limited to 50 m or less, they can be considered as being transitional/intermediate to shallow when compared to the wave lengths of interest for wave energy conversion. Since the impact of water depths on propagation of waves is significant, it cannot be ignored in wave energy assessment. According to the basic wave theory, in order to work out accurate wave energy amounts in finite water depth, detailed wave spectral distributions should be given. However, for some practical reasons, there are still some cases where only scatter diagrams and/or the statistical wave parameters are available, whilst the detailed wave spectra are discarded. As a result, the assessments of wave energy and resources are frequently determined by ignoring the effect of water depths or using very simplified approximations. This research paper aims to develop more accurate approximation methods by utilising a number of available parameters such that a better estimate on the wave resource assessment can be achieved even if the detailed wave spectra are not available. As one important goal, the research can provide some important indications on how the measured wave data are effectively presented so that they can be very useful for assessing the wave energy resource, especially in the cases including the effects of finite water depths. en
dc.description.sponsorship National Natural Science Foundation of China (51409118) en
dc.format.mimetype application/pdf en
dc.language.iso en en
dc.publisher MDPI AG en
dc.relation.uri http://www.mdpi.com/1996-1073/10/8/1188
dc.rights © 2017, the Authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/) en
dc.rights.uri https://creativecommons.org/licenses/by/4.0/
dc.subject Wave energy en
dc.subject Wave energy resource en
dc.subject Finite water depth en
dc.subject Statistical wave period en
dc.subject Approximation method en
dc.subject Polynomial function en
dc.title An improved method for energy and resource assessment of waves in finite water depths en
dc.type Article (peer-reviewed) en
dc.internal.authorcontactother Jimmy Murphy, MaREI Centre for Marine and Renewable Energy, University College Cork, Cork, Ireland. +353-21-490-3000 Email: jimmy.murphy@ucc.ie en
dc.internal.availability Full text available en
dc.description.version Published Version en
dc.internal.wokid WOS:000407436700115
dc.contributor.funder National Natural Science Foundation of China
dc.contributor.funder University College Cork
dc.contributor.funder Science Foundation Ireland
dc.description.status Peer reviewed en
dc.identifier.journaltitle Energies en
dc.internal.IRISemailaddress jimmy.murphy@ucc.ie en
dc.identifier.articleid 1188
dc.relation.project info:eu-repo/grantAgreement/SFI/SFI Research Centres/12/RC/2302/IE/Marine Renewable Energy Ireland (MaREI) - The SFI Centre for Marine Renewable Energy Research/


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© 2017, the Authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/) Except where otherwise noted, this item's license is described as © 2017, the Authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/)
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