A predictive tool for low-emission gas turbine combustors

低排放燃气轮机燃烧室的预测工具

• 批准号: DE180100416
• 负责人: A/Prof Mohsen Talei
• 金额: $ 25.58万
• 依托单位: The University of Melbourne
• 依托单位国家: 澳大利亚
• 项目类别: Discovery Early Career Researcher Award
• 财政年份: 2018
• 资助国家: 澳大利亚
• 起止时间: 2018-05-31 至 2021-12-30
• 项目状态: 已结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/DE180100416
• 关键词: predictive; tool; low; emission; gas

This project aims to develop a powerful tool for prediction of combustion noise using high-fidelity simulations. Combustion-generated sound is a major inhibitor to the development of low-emission, highly-efficient gas turbines as it can initiate "thermoacoustic instability", leading to engine failure in extreme cases. This project will lead to the advancement of fast start-up, low-emission, gas turbines which can complement renewable energy technologies to provide reliable electricity to Australians.

该项目旨在开发一种强大的工具，利用高保真模拟来预测燃烧噪声。 燃烧产生的声音是低排放、高效燃气轮机发展的主要障碍，因为它会引发“热声不稳定”，在极端情况下导致发动机故障。该项目将推动快速启动、低排放燃气轮机的进步，从而补充可再生能源技术，为澳大利亚人提供可靠的电力。