Research Grant
[Cite as https://purl.org/au-research/grants/arc/DE180100416]Researchers: Mohsen Talei (Discovery Early Career Researcher Award)
Brief description A predictive tool for low-emission gas turbine combustors. 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.
Funding Amount $365,446
Funding Scheme Discovery Early Career Researcher Award
- PURL : https://purl.org/au-research/grants/arc/DE180100416
- ARC : DE180100416