Data-Powered Energy Optimization

ANU pioneers sustainable campus operations with smart technologies and insightful analytics.


Electricity meters tracked


Buildings covered


Visualizations deliver effective insights


A solution for a complete picture

Climate change and sustainability are challenges that ANU is determined to engage with proactively, starting with its own operation. It is the second-largest electricity user in the Australian Capital Territory, and its large buildings account for around half of its carbon footprint.

A team was set up to understand data related to energy consumption. Having replaced hundreds of old and inaccurate dial-based electricity meters, ANU needed a new set of dashboards with the levels of visual appeal and engagement to harness the newly available data.


Building the energy dashboard

ANU worked with authorised Qlik Partner Cast Solutions to build its Energy Dashboard. The Qlik-based platform combines a variety of data sets sourced from over 200 buildings and 1,000 electricity meters to understand where and how energy is used.

The Energy Dashboard combines real-time local weather data to enhance building energy efficiency. Qlik Sense handles data modelling and visualizations to provide near-real-time insights to users across ANU, and a range of dashboards to manage day-to-day operations, maintenance and capital works.


A new range of perspectives

The Energy Dashboard provides critical insights into energy usage and heat transfer, building and structural characteristics, and operational factors and occupant behaviours that influence energy consumption.

It highlights energy hotspots and opportunities for improvement, enabling management staff to see where and how energy is being used and how and where resources could be invested to reduce carbon output and costs. It also provides enables a deeper understanding of consumption in specific buildings, and consumption outliers and hotspots.


Enabling a new pro-environment outlook

Prior to implementing the Energy Dashboard, lack of transparency on carbon emissions and energy costs was holding ANU back. That has all changed. Decisions on how and where ANU should invest to reduce its energy consumption and carbon footprint are now based on data-led evidence.

ANU is now extending the tool to other sustainability-based use cases such as water usage and waste management, with the aim of reducing waste to landfill and increasing recycling, repurposing and reuse. It’s a small win for ANU, but a larger win for the environment.

Electricity meter data is generated at five-minute intervals, and those huge volumes could not be manipulated manually. That’s only possible with Qlik.

Rajeel Naicker
Controls Engineer, Australian National University

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