RACE for 2030 Opportunity Assessment- Home energy technologies and smart algorithms [21163]

Project Member(s): Fane, S., Giurco, D., Roche, D., Dwyer, S., Wilmot, K., Guerrero Orbe, J., Khalilpour, K.

Funding or Partner Organisation: Race for 2030 Limited (Race for 2030 Limited CRC)
Race for 2030 Limited (Race for 2030 Limited CRC)

Start year: 2022

Summary: This opportunity assessment will study how to maximise the benefits of improved energy technologies for Australian homes directly and for providing grid support, in the context of the clean energy transition. Benefits of improving home energy technologies can include: reducing energy bills, improved health and wellbeing of home occupants, reduced carbon emissions, improved utilization of renewable energy and power quality. These benefits can derive from advanced home and grid energy management, where a range of algorithms and apps can play useful roles. There are many questions about the relative rights and roles of the various stakeholders in a situation where the future of homes can be as a major provider of their own energy needs plus grid services. This opportunity assessment combines two RACE for 2030 Research Themes (with the originally proposed brief description added here) which clearly complement each other, and we now put together in a combined study which can accommodate current discussion about distributed energy resources (DERs) and the grid: • H3 – Using home energy technologies for grid support This Theme aims to address current and possible future energy supply industry practice and home energy technology standards to facilitate smarter energy use, particularly for load shifting, dynamic export limits, provision of reactive power and voltage support. • H5 – Smart algorithms for optimising home energy supply and use This Theme aims to identify opportunities for useful algorithms for reducing costs for householders in their homes and for the energy system as a whole. Collaborating with customers, energy technology start-ups and energy utilities, this should include implementing real world trials of such algorithms. For associated customer apps, a goal should be mapping a path for optimising the use of resources from retailers and more independent ones like Energy Made Easy and Consumer Data Right (CDR) for the benefit of customers.

FOR Codes: ENERGY, Electrical energy generation (incl. renewables, excl. photovoltaics)

Acknowledgement of Country

UTS acknowledges the Gadigal people of the Eora Nation, the Boorooberongal people of the Dharug Nation, the Bidiagal people and the Gamaygal people, upon whose ancestral lands our university stands. We would also like to pay respect to the Elders both past and present, acknowledging them as the traditional custodians of knowledge for these lands.