Investigating the effect of blade topology on the performance of small-scale cryogenic turbines manufactured using various 3D printing materials

研究叶片拓扑结构对使用各种 3D 打印材料制造的小型低温涡轮机性能的影响

基本信息

批准号：
2285016
负责人：
金额：
--
依托单位：
University of Birmingham
依托单位国家：
英国
项目类别：
Studentship
财政年份：
2019
资助国家：
英国
起止时间：
2019 至无数据
项目状态：
已结题

来源：
https://gtr.ukri.org/projects?ref=studentship-2285016
关键词：
Investigating effect blade topology performance

项目摘要

The push for higher penetration of renewable power solutions creates novel problems for the electricity grid. Renewable power plants (such as solar and wind farms) are subject to large fluctuations in generation patterns, making it difficult to predict power availability. Cryogenic energy storage has the potential to solve the challenge of storing surplus power generated during off peak times, without the geographical limitations of other methods such as pumped hydro storage and compressed air energy storage.To take advantage of cryogenic energy storage, efficient and well-established methods of recovering energy from the store are required. Research into this is crucial. Small scale cryogenic turbines have been proposed as a solution for use in buildings or rural and remote off grid communities, and are being developed and 3D printed at the University of Birmingham. In order to optimise and develop a more efficient turbine design that will be able to harness more power from the stored energy; the topology of the turbine itself must be investigated, namely the turbine blades as their topology will drastically effect the nature of the flow of the cryogen as it passes through the turbine. This can be done through the use of CFD analysis and experimental validation, optimising the topology of turbine blades using various optimisation methods, and using 3D printing to manufacture complex optimised topology.

推动可再生能源解决方案的更高渗透率给电网带来了新的问题。可再生发电厂（例如太阳能和风电场）的发电模式波动较大，因此很难预测电力可用性。低温储能有潜力解决非高峰时段剩余电力存储的挑战，不受抽水蓄能和压缩空气储能等其他方法的地理限制。利用低温储能，高效、良好需要建立从存储中回收能量的方法。对此进行研究至关重要。小型低温涡轮机已被提议作为建筑物或农村和偏远离网社区的解决方案，伯明翰大学正在开发和 3D 打印这种涡轮机。为了优化和开发更高效的涡轮机设计，能够从储存的能量中利用更多的电力；必须研究涡轮机本身的拓扑结构，即涡轮机叶片，因为它们的拓扑结构将极大地影响制冷剂流过涡轮机时的流动性质。这可以通过使用 CFD 分析和实验验证、使用各种优化方法优化涡轮叶片的拓扑结构以及使用 3D 打印制造复杂的优化拓扑结构来完成。