4.7 Article

Wave power extraction of a heaving floating oscillating water column in a wave channel

期刊

RENEWABLE ENERGY
卷 99, 期 -, 页码 1262-1275

出版社

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.renene.2016.08.012

关键词

Wave energy; Hydrodynamic modelling; Floating oscillating water column; Experimental testing; Channel walls effect; Spar-buoy

资金

  1. Portuguese Foundation for Science and Technology (FCT), through IDMEC, under LAETA [Pest-OE/EME/LA0022]
  2. European Commission's Horizon 2020 program, project WETFEET [641334]
  3. FCT [SFRH/BPD/93209/2013, IF/01457/2014]
  4. H2020 Societal Challenges Programme [641334] Funding Source: H2020 Societal Challenges Programme

向作者/读者索取更多资源

The performance evaluation of a wave energy converter in wave channel is influenced by the hydrodynamic effects caused by the near presence of the side walls. Since this phenomenon is not observed in the open ocean, it is important to assess the walls influence in the converter dynamics when analysing experimental results. This paper studies the dynamics and power extraction of an axisymmetric floating oscillating water column (OWC) device, the Spar-buoy OWC, using experimental data obtained in a wave channel. A two heaving body model (spar-buoy and OWC) based on linear forces is formulated in the frequency domain. Linear hydrodynamic coefficients are obtained from a boundary integral equation method. The presence of the channel side walls is simulated approximately by a periodic array of devices, and alternatively by two finite-length walls. Linearized drag forces are derived from small-scale model tests. Power extraction results are presented for regular and irregular waves. The numerical simulations show that the wall effect may amplify the power capture up to a maximum of 15% for regular waves and 10% for irregular wave conditions, for a channel-width-to-device-diameter ratio equal to 5.25. (C) 2016 Elsevier Ltd. All rights reserved.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.7
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据