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Efficient unstructured mesh generation for marine renewable energy applications

机译:高效的非结构化网格生成,可用于海洋可再生能源应用

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Renewable energy is the cornerstone of preventing dangerous climate change whilst maintaining a robust energy supply. Tidal energy will arguably play a critical role in the renewable energy portfolio as it is both predictable and reliable, and can be put in place across the globe. However, installation may impact the local and regional ecology via changes in tidal dynamics, sediment transport pathways or bathymetric changes. In order to mitigate these effects, tidal energy devices need to be modelled, to predict hydrodynamic changes. Robust mesh generation is a fundamental component required for developing simulations with high accuracy. However, mesh generation for coastal domains can be an elaborate procedure. Here, we describe an approach combining mesh generators with Geographical Information Systems. We demonstrate robustness and efficiency by constructing a mesh with which to examine the potential environmental impact of a tidal turbine farm installation in the Orkney Islands. The mesh is then used with two well-validated ocean models, to compare their flow predictions with and without a turbine array. The results demonstrate that it is possible to create an easy-to-use tool to generate high-quality meshes for combined coastal engineering, here tidal turbines, and coastal ocean simulations. (C) 2017 The Authors. Published by Elsevier Ltd.
机译:可再生能源是预防危险的气候变化,同时保持稳定的能源供应的基石。可以说,潮汐能在可再生能源组合中将扮演至关重要的角色,因为它既可预测又可靠,并且可以在全球范围内部署。但是,安装可能会通过潮汐动力学变化,泥沙输送路径或测深改变而影响本地和区域生态。为了减轻这些影响,需要对潮汐能设备进行建模,以预测水动力变化。强大的网格生成是高精度开发仿真所需的基本组件。但是,沿海区域的网格生成可能是一个复杂的过程。在这里,我们描述了一种结合网格生成器和地理信息系统的方法。我们通过构建一个网格来证明其健壮性和效率,该网格可用来检查奥克尼群岛的潮汐涡轮农场设施的潜在环境影响。然后将网格与两个经过良好验证的海洋模型一起使用,以比较使用和不使用涡轮阵列的流量预测。结果表明,有可能创建一种易于使用的工具来生成高质量的网格,以用于组合的海岸工程(此处是潮汐涡轮机和海岸海洋模拟)。 (C)2017作者。由Elsevier Ltd.发布

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