Atkins, Cardiff University and Network Rail have developed a digital twin of Reading station in a bid to cut emissions and improve its energy performance.
With data from sensors and computer modelling establishing baselines for energy consumption and carbon emissions, Cardiff University’s Computational Urban Sustainability Platform has been used to map ways to improve the station’s performance via energy efficiency measures. Further possible changes and the potential impact this could have on making additional energy savings will also be explored.
Using historical data and modelling, a number of opportunities have been identified that are predicted to produce a 20% improvement in the station’s carbon emissions and energy performance, including:
- improved lighting controls such as dimming when an area of the station is not in use; and
- turning off machinery, such as escalators, when not in use or overnight when train services are not in operation.
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