A large-scale review of wave and tidal energy research over the last 20 years

潮汐能 资源(消歧) 奖学金 比例(比率) 海洋能源 环境资源管理 能量(信号处理) 研究中心 运筹学 计算机科学 工程类 地理 环境科学 政治学 物理 海洋工程 法学 量子力学 地图学 计算机网络
作者
Danial Khojasteh,Abbas Shamsipour,Luofeng Huang,Sasan Tavakoli,Milad Haghani,Francois Flocard,Maryam Farzadkhoo,G. Iglesias,Mark Hemer,Matthew Lewis,Simon P. Neill,Michael M. Bernitsas,William Glamore
出处
期刊:Ocean Engineering [Elsevier BV]
卷期号:282: 114995-114995 被引量:34
标识
DOI:10.1016/j.oceaneng.2023.114995
摘要

Over the last two decades, a large body of academic scholarship has been generated on wave and tidal energy related topics. It is therefore important to assess and analyse the research direction and development through horizon scanning processes. To synthesise such large-scale literature, this review adopts a bibliometric method and scrutinises over 8000 wave/tidal energy related documents published during 2003–2021. Overall, 98 countries contributed to the literature, with the top ten mainly developed countries plus China produced nearly two-thirds of the research. A thorough analysis on documents marked the emergence of four broad research themes (dominated by wave energy subjects): (A) resource assessment, site selection, and environmental impacts/benefits; (B) wave energy converters, hybrid systems, and hydrodynamic performance; (C) vibration energy harvesting and piezoelectric nanogenerators; and (D) flow dynamics, tidal turbines, and turbine design. Further, nineteen research sub-clusters, corresponding to broader themes, were identified, highlighting the trending research topics. An interesting observation was a recent shift in research focus from solely evaluating energy resources and ideal sites to integrating wave/tidal energy schemes into wider coastal/estuarine management plans by developing multicriteria decision-making frameworks and promoting novel designs and cost-sharing practices. The method and results presented may provide insights into the evolution of wave/tidal energy science and its multiple research topics, thus helping to inform future management decisions.

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