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About the position
Renewable energy poses significant challenges in terms of infrastructure capable of supporting demands and dealing with uncertainties inherent in resources such as wind and solar.
This project will explore different approaches to the optimisation of energy infrastructure, quantifying and evaluating uncertainties based on historical data. They will develop solutions that meet supply and demand settings in a robust, cost-effective way.
PROJECT OBJECTIVES
This project aims to provide robust solutions for energy infrastructure by developing algorithms that can optimise complex infrastructure based on predicted energy supply and demand, while dealing with associated uncertainties. It will build on existing modelling tools for energy storage and prediction, such that they can deal with non-linear objectives and constraints.
PROJECT SCOPE
The successful candidate will develop a full research proposal during the initial months of their candidature.
Uncertainties will be quantified and evaluated based on historical data, and solutions will be provided that are cost efficient and robust such that they meet supply-and-demand settings in a cost-effective way.
Techniques may include the application of mixed-integer programming formulations and the use of artificial-intelligence-based optimisation from the field of evolutionary computation.
Requirements
The prospective student should have a strong background in energy
networks and/or the design and application of optimisation algorithms such as mixed integer programming or heuristics search algorithms. To deal with stochastic aspects of the problems and algorithms, strong mathematical knowledge is also required.
Application date
Application Deadline: October 31, 2024
How to apply
https://hiltcrc.com.au/wp-content/uploads/2024/09/HILT-CRC-HDR-Project-Summary-Robust-solutions-for-complex-energy-infrastructure.pdf
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