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Numerical modelling of hydrodynamics and tidal energy extraction in the Alderney Race: a review
Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences ( IF 4.3 ) Pub Date : 2020-07-27 , DOI: 10.1098/rsta.2019.0498
Jérôme Thiébot 1 , D S Coles 2, 3 , Anne-Claire Bennis 4 , Nicolas Guillou 5 , Simon Neill 6 , Sylvain Guillou 1 , Matthew Piggott 7
Affiliation  

The tides are a predictable, renewable, source of energy that, if harnessed, can provide significant levels of electricity generation. The Alderney Race (AR), with current speeds that exceed 5 m s−1 during spring tides, is one of the most concentrated regions of tidal energy in the world, with the upper-bound resource estimated at 5.1 GW. Owing to its significance, the AR is frequently used for model case studies of tidal energy conversion, and here we review these model applications and outcomes. We examine a range of temporal and spatial modelling scales, from regional models applied to resource assessment and characterization, to more detailed models that include energy extraction and array optimization. We also examine a range of physical processes that influence the tidal energy resource, including the role of waves and turbulence in tidal energy resource assessment and loadings on turbines. The review discusses model validation, and covers a range of numerical modelling approaches, from two-dimensional to three-dimensional tidal models, two-way coupled wave-tide models, Large Eddy Simulation (LES) models, and the application of optimization techniques. The review contains guidance on model approaches and sources of data that can be used for future studies of the AR, or translated to other tidal energy regions. This article is part of the theme issue ‘New insights on tidal dynamics and tidal energy harvesting in the Alderney Race’.

中文翻译:

奥尔德尼赛跑中流体动力学和潮汐能提取的数值模拟:综述

潮汐是一种可预测的、可再生的能源,如果加以利用,可以提供显着的发电量。Alderney Race (AR) 在大潮期间的流速超过 5 m s−1,是世界上潮汐能最集中的地区之一,其上限资源估计为 5.1 GW。由于其重要性,AR 经常用于潮汐能转换的模型案例研究,在这里我们回顾这些模型应用和结果。我们研究了一系列时间和空间建模尺度,从应用于资源评估和表征的区域模型,到包括能量提取和阵列优化在内的更详细的模型。我们还研究了一系列影响潮汐能源的物理过程,包括波浪和湍流在潮汐能源评估和涡轮机负载中的作用。该评论讨论了模型验证,并涵盖了一系列数值建模方法,从二维到三维潮汐模型、双向耦合波浪潮汐模型、大涡模拟 (LES) 模型以及优化技术的应用。该评论包含有关模型方法和数据来源的指导,可用于未来的 AR 研究,或转化为其他潮汐能区域。本文是主题问题“奥尔德尼岛竞赛中潮汐动力学和潮汐能收集的新见解”的一部分。双向耦合潮汐模型、大涡模拟 (LES) 模型以及优化技术的应用。该评论包含有关模型方法和数据来源的指导,可用于未来的 AR 研究,或转化为其他潮汐能区域。本文是主题问题“奥尔德尼岛竞赛中潮汐动力学和潮汐能收集的新见解”的一部分。双向耦合潮汐模型、大涡模拟 (LES) 模型以及优化技术的应用。该评论包含有关模型方法和数据来源的指导,可用于未来的 AR 研究,或转化为其他潮汐能区域。本文是主题问题“奥尔德尼岛竞赛中潮汐动力学和潮汐能收集的新见解”的一部分。
更新日期:2020-07-27
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