波浪能资源分类系统和WEC技术

Q3 Engineering
V. Neary, R. Coe, J. Cruz, K. Haas, G. Bacelli, Y. Debruyne, S. Ahn, Victor Nevarez
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引用次数: 20

摘要

波浪能资源和波浪能转换器(WEC)技术的分类系统可以提供与风能工业类似的好处:资源分类有助于区域和国家规模的侦察研究和项目规划;和WEC分类简化和降低WEC装置的设计和制造成本。本研究以美国波浪资源分类系统为研究对象,探讨了WEC分类的可行性。利用该系统中描述的三种波能资源类别的波浪谱输入,推导出优化后的WEC设计比例因子的分布,以及WEC设计响应。初步结果表明,单个标准WEC设计等级可以在给定的资源等级和相应的区域波气候中服务,因为每个资源等级的波能分布和能量集中在划分的周期带内。WEC对极端载荷的响应发现,在检查的最具能量的资源类别中差异很大,这表明需要这些标准设计类别来满足基于给定资源类别内负载响应上限的结构设计要求。然而,观测到的负荷度量变化小于区域间的资源变化。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Classification systems for wave energy resources and WEC technologies
Classification systems for wave energy resources and wave energy converter (WEC) technologies could provide similar benefits to those for the wind energy industry: resource classification facilitating reconnaissance studies and project planning at both regional and national scales; and WEC classification streamlining and reducing costs of WEC device design and manufacturing. In the present study, a classification system for U.S. wave resources is used to investigate the feasibility of WEC classification. Wave spectra inputs from three wave energy resource classes delineated in this system are used to derive distributions of optimized WEC design scaling factors, as well as WEC design responses. Preliminary results indicate that a single standard WEC design class could serve within a given resource class, and corresponding regional wave climate, due to distinct wave energy distributions and concentrations of energy within partitioned period bands for each resource class. The WEC response to extreme loads was found to vary considerably within the most energetic of the resource classes examined, suggesting the need for these standard design classes to meet structural design requirements based on the upper limits of load response within a given resource class. However, the observed load metric variation is lower than the inter-region resource variations.
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来源期刊
International Marine Energy Journal
International Marine Energy Journal Engineering-Ocean Engineering
CiteScore
1.70
自引率
0.00%
发文量
24
审稿时长
12 weeks
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