With distributed energy use in buildings becoming increasingly common, systems now need to meet building energy needs.
Historically commercial buildings have utilised chilled water storage and the building thermal mass as storage to avoid electricity peak demand charges. However future outlooks envisage building HVAC systems to employ a combination of storages systems, energy sources and chillers to optimally meet building energy needs.
This session at ARBS will outline an artificial intelligence-supported model predictive controller (AI-MPC) framework using a high-level model to generate predictions of system load and resources to minimise operation costs.
AI methods will be applied to continuously learn and update the system models based on feedback from measurements and to generate predictions and define optimal trajectories.
The AI-MPC will focus on addressing challenges existing in the framework including reliable and efficient estimation of future status as required for multiple factors in the system and joint optimization of the entire system.
Speakers include Chirayu Shah, general manager of Conserve It, Subb Sethuvenkatraman of the CSIRO and Mark Hooper of Echuca Regional Health.
Australia set new records for renewable capacity installation and total electricity generated from renewables in 2019.
The Clean Energy Regulator estimates that a record 6.3 gigawatts (GW) of new renewable capacity was installed in 2019, 24 per cent above the previous record set in 2018.
Electricity generated from renewables is also estimated to have increased to a record 44 terawatt hours (TWh), 20 per cent above the previous year.
The Clean Energy Regulator expects that 2020 will be the biggest year yet for electricity generation from renewables (both in absolute terms and year-on-year growth) with a forecast 26 per cent increase.
Based on Bloomberg New Energy Finance data, Australia invested $7.7 billion or $308 per person in renewable energy in 2019.