Blockage Effects In Large Scale Wind Farms

大型风电场的阻塞效应

• 批准号: 2887694
• 金额: --
• 依托单位: University of Oxford
• 依托单位国家: 英国
• 项目类别: Studentship
• 财政年份: 2023
• 资助国家: 英国
• 起止时间: 2023 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=studentship-2887694
• 关键词: Blockage; Effects; Large; Scale; Wind

EPSRC Project Description:With the increasing demand for sustainable and renewable energy sources, it is clear offshore tidal and wind energy sources will play a pivotal role in reaching the net zero target. To meet the high demand for renewable energy, new large-scale tidal and wind farms are soon to be constructed. These arrays of multiple machines exhibit several complex interactions that drastically alter their efficiency. One such effect is known as the blockage effect. The blockage effect is the change in efficiency of a turbine due to neighbouring turbines slowing and deflecting the flow field around them. This can work to both increase and decrease turbine efficiency and is most prevalent in large scale arrays with many machines. The blockage effect depends on a number of factors such an inter-turbine spacing and atmospheric stability. Understanding blockage effects poses a complex fluid dynamic problem and will require novel use of computational methods and analytical modelling. This project has a number of aims:1. Quantify blockage effects in arbitrary size offshore wind farms.2. Simulate these effects using novel methodologies.3. Develop mathematical and computational models for predicting the magnitude of the blockage effect.4. Use this work to inform and optimise wind farm design.Achieving these aims will be key in maximising renewable energy output.To achieve these aims, a number of methods must be used. Computational fluid dynamics is a well-researched methodology and will play a crucial role in the simulation of these large-scale dynamic structures. Large eddy simulations (LES) and Reynolds averaged Navier-Stokes (RANS) simulations have seen great success in this field but have high computational complexity putting restraints on the scale of the simulations performed. For this reason, it is vital to explore alternative novel methods. One such promising method is the use of physics-informed neural networks (PINNs). These networks rely on statistical techniques while ensuring physical properties, such as conservation laws, remain unaltered. Training such a model allows for fast computation of otherwise costly simulations. In addition, such techniques can be used to enhance existing simplified models such as the actuator disk model. The project's impact extends to academia, industry, and the public. The public are becoming increasingly concerned with the environmental impact of their energy supply. In response, governmental entities are formulating ambitious plans for expansion to address these concerns. The execution of such plans requires collaboration with industrial partners, who play a crucial role in producing efficient and financially viable products. Thus, optimal design in energy production is heavily sought after by many parties and will be invaluable in the transfer to net zero emissions.This project falls within the EPSRC engineering theme as well as the EPSRC energy and decarbonisation theme and is part of the EPSRC Wind & Marine Energy Systems & Structures (WAMESS) Centre for Doctoral Training (CDT).

随着对可持续和可再生能源的需求不断增加，很明显，海上潮汐和风能将在实现净零目标方面发挥关键作用。为了满足对可再生能源的高需求，不久将建造新的大型潮汐和风力发电场。这些由多台机器组成的阵列表现出几种复杂的相互作用，这些相互作用极大地改变了它们的效率。其中一种效应被称为阻塞效应。阻塞效应是由于相邻涡轮机使其周围的流场减慢和偏转而引起的涡轮机的效率变化。这可以用于增加和降低涡轮机效率，并且在具有许多机器的大规模阵列中最普遍。阻塞效应取决于多个因素，例如涡轮间的间距和大气稳定性。了解阻塞效应提出了一个复杂的流体动力学问题，将需要新的计算方法和分析建模的使用。该项目有几个目标：1。量化任意规模海上风电场的阻塞效应。使用新的方法模拟这些影响。3.开发数学和计算模型，用于预测阻塞效应的大小。4.利用这项工作来通知和优化风电场的设计。实现这些目标将是最大限度地提高可再生能源产量的关键。为了实现这些目标，必须使用一些方法。计算流体动力学是一种经过充分研究的方法，在这些大型动态结构的模拟中将发挥至关重要的作用。大涡模拟（LES）和雷诺平均Navier-Stokes（RANS）模拟在这一领域取得了巨大的成功，但计算复杂度高，限制了模拟的规模。因此，探索其他新方法至关重要。其中一种有前途的方法是使用物理信息神经网络（PINN）。这些网络依赖于统计技术，同时确保物理性质，如守恒定律，保持不变。训练这样的模型允许快速计算否则昂贵的模拟。此外，这种技术可以用来增强现有的简化模型，如致动器盘模型。该项目的影响延伸到学术界，工业界和公众。公众越来越关注其能源供应对环境的影响。作为回应，政府实体正在制定雄心勃勃的扩展计划，以解决这些问题。这些计划的执行需要与工业伙伴合作，工业伙伴在生产高效和经济上可行的产品方面发挥着至关重要的作用。因此，能源生产的优化设计受到多方的追捧，并将在向净零排放的转变中发挥不可估量的作用。该项目福尔斯属于EPSRC工程主题以及EPSRC能源和脱碳主题，是EPSRC风能和海洋能源系统与结构（WAMESS）博士培训中心（CDT）的一部分。