Page 12 - Case study: Data driven energy savings in the Hyperdome shopping centre in Queensland, Australia

- Connecting into the Hyperdome’s IoT sensors and the existing building management system;

- The Switch Platform interface with the BMS via the cloud to add deeper visibility into energy
consumption.

Replacing the previous way of manually managing buildings, owners can now digitally monitor and
adjust building systems from a single Platform.

As conditions change due to external weather events and occupancy levels, the solution keeps the
Hyperdome’s energy use optimised.

It required significant amounts of data to be collected in order to successfully implement the
project. The collected data include, among others:

- Energy consumption for the building for each piece of equipment;

- IoT sensor data collected in 15-minute intervals;

- Occupancy sensor data collected in 15-minute intervals;

- Utility bill data.

The Switch Automation solution used the following mathematical models for optimising energy
usage:

- Statistical models of energy consumption;

- Machine learning for pattern recognition using historical data to calculate performance
benchmarks;

- Weather normalisation modelling to account for outside conditions.

2.3. Results

During the first year of integrating the Switch Automation Platform, Hyperdome building
management company identified energy cost savings of $337,516. This figure represents 12.6% of
total energy costs for the Hyperdome Shopping Centre site. More specifically:

• 1,220,884 kWh of energy saved at the Hyperdome site alone;

• $337,516 in annual energy cost savings achieved;

• 7.7% peak demand reduction attained; and

• Occupant comfort maintained despite lowering energy usage.

6 Data-driven energy savings in the Hyperdome shopping centre | Queensland, Australia