Wave energy extraction in Scotland through an improved nearshore wave atlas

George Lavidas, Vengatesan Venugopal, Daniel Friedrich
{"title":"Wave energy extraction in Scotland through an improved nearshore wave atlas","authors":"George Lavidas,&nbsp;Vengatesan Venugopal,&nbsp;Daniel Friedrich","doi":"10.1016/j.ijome.2017.01.008","DOIUrl":null,"url":null,"abstract":"<div><p>Wave energy is expected to play an important role in the forthcoming years for the de-carbonisation of Scottish and British electricity production. This study underlines the importance of resource assessment and attempts to improve the quantifiable wave power resource, with use of a validated numerical model. While levels of wave flux are high for an area that may not always constitute the best option for wave energy applications. In this study, a long-term hindcast for the Scottish coastlines run from 2004 to 2014 (11<!--> <!-->years) improving the existing wave maps and resource estimations. Spatial and physical considerations of a third generation spectral model allow examination at locations of immediate interest for the ocean energy community. Utilising numerical wave models of finer resolution allows for the detailed coupling of potential wave energy converters (WECs) and site characterization. Such detail energy results allow for improved financial analysis that take into account the severity of local resource and its energy potential.</p></div>","PeriodicalId":100705,"journal":{"name":"International Journal of Marine Energy","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2017-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.ijome.2017.01.008","citationCount":"33","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Marine Energy","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2214166917300097","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 33

Abstract

Wave energy is expected to play an important role in the forthcoming years for the de-carbonisation of Scottish and British electricity production. This study underlines the importance of resource assessment and attempts to improve the quantifiable wave power resource, with use of a validated numerical model. While levels of wave flux are high for an area that may not always constitute the best option for wave energy applications. In this study, a long-term hindcast for the Scottish coastlines run from 2004 to 2014 (11 years) improving the existing wave maps and resource estimations. Spatial and physical considerations of a third generation spectral model allow examination at locations of immediate interest for the ocean energy community. Utilising numerical wave models of finer resolution allows for the detailed coupling of potential wave energy converters (WECs) and site characterization. Such detail energy results allow for improved financial analysis that take into account the severity of local resource and its energy potential.

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
通过改进的近岸波浪图集提取苏格兰的波浪能
波浪能有望在未来几年苏格兰和英国电力生产的脱碳中发挥重要作用。本研究强调了资源评估的重要性,并试图通过使用经过验证的数值模型来改善可量化的波浪能资源。虽然一个地区的波通量水平很高,但可能并不总是构成波浪能应用的最佳选择。在这项研究中,从2004年到2014年(11年)对苏格兰海岸线进行了长期预测,改进了现有的波浪图和资源估计。第三代光谱模型的空间和物理考虑允许在海洋能源社区直接感兴趣的位置进行检查。利用更精细分辨率的数值波模型,可以详细耦合潜在波能转换器(WECs)和场地表征。这种详细的能源结果有助于改进考虑到当地资源的严重程度及其能源潜力的财务分析。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Editorial Board Physical scale model testing of a flexible membrane wave energy converter: Videogrammetric analysis of membrane operation A comparison of control strategies for wave energy converters Predicted power performance of a submerged membrane pressure-differential wave energy converter Ocean power technology design optimization
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1