MSE Research Project Database

Smart grid optimization using forecasting, multiple renewable technologies and energy storage


Project Leader: Saman Halgamuge
Staff: Saman Halgamuge, Guillermo Narasilio
Student: Hansani Weeratunga
Collaborators: Dr Julian de Hoog (IBM), Dr Simon Dunstall (Data61/CSIRO)
Sponsors: ARC, Data 61, IBM, AIC
Primary Contact: Saman Halgamuge (saman@unimelb.edu.au)
Keywords: artificial intelligence; energy efficiency; geotechnical engineering
Disciplines: Mechanical Engineering
Domains: Networks and data in society, Optimisation of resources and infrastructure

Energy sector in most countries is undergoing a complex transition not only due to access to increasingly affordable solar technologies but also due to the increased ability to predict how electricity will be used by consumers, which then can be used to optimise the usage of non-dispatchable energy. In Australia, there are remote areas where grid electricity is not available and cost prohibitive. Therefore, fully renewable, off-grid opportunities for buildings will be a practical and sustainable solution for energy crisis and challenges.

There has also been an increased interest in cost and energy efficiency for heating, ventilation, and air conditioning systems for buildings since these are responsible for between 25% and 40% of total building energy demand. Solar assisted ground source heat pump systems which combine solar and geothermal energy are gaining attention due to their higher efficiency and greater functional diversity when compared with conventional systems. 

Energy sector in most countries is undergoing a complex transition not only due to access to increasingly affordable solar technologies but also due to the increased ability to predict how electricity will be used by consumers, which then can be used to optimise the usage of non-dispatchable energy. In Australia, there are remote areas where grid electricity is not available and cost prohibitive. Therefore, fully renewable, off-grid opportunities for buildings will be a practical and sustainable solution for energy crisis and challenges.

The PhD projects will focus on geothermal modelling and forecasting aspects.