FEIT Research Project Database

Machine learning-based planning of low-carbon multi-energy systems


Project Leader: Pierluigi Mancarella
Staff: Dr Lingxi Zhang, Dr Sleiman Mhanna
Primary Contact: Pierluigi Mancarella (pierluigi.mancarella@unimelb.edu.au)
Keywords: hydrogen; machine learning; Smart Grids
Disciplines: Electrical & Electronic Engineering
Domains:

Multi-energy systems are characterised by optimal interactions between the electrical power system and other systems such as heating, transport, gas, and future fuels such as hydrogen. Planning such systems is a daunting task, especially considering the manifold uncertainties associated with uptake of renewables and low-carbon technologies (eg, battery energy storage systems, electric vehicles, etc), developments of government initiatives such as to boost future hydrogen-based systems and export, and so on. While advanced mathematical programming techniques can be used to develop multi-energy system operation tools, comprehensively modelling the technical and economic features across different energy systems for planning purposes requires novel methodologies and computational approaches that are currently not available.

On these premises, and following the work conducted for the Future Fuels Cooperative Research Centre to model the integrated operation of electricity-gas-heat-hydrogen systems in Australia, this project aims at developing a multi-energy system planning tool with the support of state-of-the-art machine learning techniques that, via data-driven approaches, can augment the advanced multi-physics simulation tools that have already been developed by the research team. The outcomes will be in the form of cutting-edge methodologies and computational tools that will be able to support the decision making of various stakeholders, from investors and network operators to government agencies, thus enabling the development of low-carbon energy futures. Specific applications will refer to integrated energy systems in smart cities as well as system-level studies to model future scenarios for Australia as a ‘low-carbon energy superpower’ that can export renewable fuels and low-carbon materials.

Further information: https://www.futurefuelscrc.com/