Computational framework to optimise energy services to the grid

This project aims to develop novel theories and techniques to optimize the integration of energy resources on buildings into the future Australian energy network.

It intends to achieve this by developing new approaches built on economic and mathematical principles to manage energy, at both individual and collective building levels based on incentive signals from the grid.

Expected outcomes are computational models and algorithms for energy service providers to provide demand flexibility to the grid without compromising building occupants' comfort and convenience.

The project outcome will relieve the Australian grid from the variability of demand with less reliance on costly large-scale batteries and will reduce costs across the energy sector.

Collaborator: Professor Chau Yuen, Singapore University of Technology and Design (SUTD)