To reduce emissions and improve energy efficiency, ScotRail has partnered with UK-based Optimise AI to create 'digital twins' of all its stations and depots. Digital twins enable real-time monitoring and predictive analytics by creating a virtual replica of a physical as
The technology, provided by Optimise AI, monitors energy used and carbon emitted in real time. This will enable ScotRail to identify opportunities to reduce emissions and improve energy efficiency across Scotland's rail network. The tool enables ScotRail to benchmark how its sites perform against the UK's Energy Performance Certification standard. This benchmarking exercise provides a clear understanding of how stations and depots are performing in relation to a common set of standards.
The tool was developed at Cardiff University. Its algorithm examines utility performance data from comparable buildings to identify specific measures that can reduce consumption, improve efficiency and save money. ScotRail can make informed decisions about the type of investment required to achieve cost savings and eliminate carbon emissions from its operations by using this data-driven approach.
“By using digital twins, we can gain a deeper understanding of our energy use and take meaningful steps to reduce emissions across all our stations and depots. This partnership, combined with our move to 100 per cent UK renewable energy for our stations and depots, will help us build a greener future for Scotland’s Railway,” said David Lister, ScotRail Safety, Sustainability & Asset Director.
