How do multiple tidal energy sites interact and do any ecological impacts worsen?

多个潮汐能站点如何相互作用以及生态影响是否恶化？

• 批准号: 2751284
• 金额: --
• 依托单位: University of York
• 依托单位国家: 英国
• 项目类别: Studentship
• 财政年份: 2022
• 资助国家: 英国
• 起止时间: 2022 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=studentship-2751284
• 关键词: How; do; multiple; tidal; energy

Tidal energy is a natural resource that can deliver major benefits to the UK infrastructure as it strives to achieve its low-carbon goals. The UK coast offers geomorphological characteristics that amplify the available tidal energy resources, presenting sites with some of the most pronounced sustainable energy sources worldwide. However, estimates for the size of the tidal stream resource at sites depends on assumptions and interactions with other tidal energy sites.This project will explore the uncertainty associated with hydrodynamic predictions and data inputs providing a route to extend this uncertainty to the ecological impacts expected (both negative and positive). These impacts will be investigated and quantified through the development and application of novel computational methods, including via "machine learning". The project will build on the recent development of novel modelling frameworks (Thetis, https://thetisproject.org/) that stem from recent outputs by EPSRC council projects, focusing on blending hydrodynamics with ecological models. The project will link together multiple proposed tidal energy sites and types (stream, barrages, lagoons) to assess optimised environmental impact and energy extraction.

潮汐能是一种自然资源，可以为英国的基础设施带来重大利益，因为它努力实现其低碳目标。英国海岸的地貌特征放大了可用的潮汐能资源，为这些地点提供了世界上一些最明显的可持续能源。然而，对潮汐流资源规模的估计取决于假设和与其他潮汐能站点的相互作用。本项目将探讨与水动力预测和数据输入相关的不确定性，并提供一种途径，将这种不确定性扩展到预期的生态影响（负面和正面）。将通过开发和应用新的计算方法，包括通过“机器学习”，对这些影响进行调查和量化。该项目将建立在最近开发的新的建模框架（Thetis，https：//thetisproject.org/）的基础上，这些框架源于EPSRC理事会项目的最新成果，重点是将流体动力学与生态模型相结合。该项目将连接多个拟议的潮汐能站点和类型（河流，堤坝，泻湖），以评估优化的环境影响和能源提取。