Linkage Projects - Grant ID: LP160100228

Funding Activity

Website
http://dataportal.arc.gov.au/NCGP/Web/Grant/Grant/LP160100228

Funding Status
Closed

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Funded Activity Summary

Developing novel big-data based models for designing greener turbines. Developing novel big-data based models for designing greener turbines. This project aims to improve the fuel efficiency of gas turbines, the backbone of power generation and aircraft propulsion, for efficient and affordable power generation and air travel. Australia is large, remote and has some of the world’s highest carbon dioxide emissions per capita. Improving fuel efficiency will reduce cost and emissions, but current design tools lack the accuracy to advance technology. This project will investigate fluid flow in gas turbines and use big-data analytics to develop more accurate design tools. Gas turbines with reduced fuel usage and carbon dioxide emissions are expected to reduce the cost and environmental impact of power generation and air travel in Australia.

Funded Activity Details

Start Date: 13-12-2016

End Date: 31-01-2020

Funding Scheme: Linkage Projects

Funding Amount: $438,000.00

Funder: Australian Research Council

Research Topics

ANZSRC Field of Research (FoR)

Turbulent Flows | Simulation and Modelling | Energy Generation, Conversion and Storage Engineering | Artificial Intelligence and Image Processing

ANZSRC Socio-Economic Objective (SEO)

Energy Conservation and Efficiency not elsewhere classified | Expanding Knowledge in Engineering | Energy Conservation and Efficiency in Transport |

Other Keywords

Artificial Intelligence and Image Processing | Energy Conservation and Efficiency in Transport | Energy Conservation and Efficiency not elsewhere classified | Energy Generation, Conversion and Storage Engineering | Expanding Knowledge in Engineering | Simulation and Modelling | Turbulent Flows

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