Page 10 - Case study: Data driven energy savings in the Hyperdome shopping centre in Queensland, Australia
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Figure 3: Site-Analysis chart showing the kVA demand did not exceed the
setpoint. If it was to approach, the BMS load-shed signal (0...100%) would begin
to increase, ensuring the peak demand was maintained below setpoint.
Switch Automation, the developer of the Switch Platform, connects to the building management
company’s existing BMS using the existing network infrastructure and IoT sensors. The Switch
Platform then uses an IoT Gateway to post sensor data to the cloud, then aggregates the sensor
data to perform advanced building analytics to optimise operations, energy usage and cost.
Optimisation techniques utilised in this case included big data analytics and machine learning
capabilities coupled with systems integration and user-configurable fault detection.
Figure 4: Performance Optimisation through Analytics
Note 2 – Source: https://www.switchautomation.com
4 Data-driven energy savings in the Hyperdome shopping centre | Queensland, Australia
