At Optimise-AI, our mission is clear: to create a more sustainable built environment by harnessing the power of advanced AI, machine learning, and digital twin technology. A recent milestone in this journey is our partnership with Connected Places Catapult and Network Rail, which allowed us to implement and trial our cutting-edge energy and carbon management technology at Bristol Temple Meads station, one of the busiest rail hubs outside London. 

This exciting collaboration is part of the Station Innovation Zone, a testbed designed to explore transformative solutions for the rail industry. By integrating Internet of Things (IoT) sensors and digital twin technology, together we demonstrated that it’s possible to drastically reduce energy waste while maintaining comfort and functionality in even the most complex and historic spaces. 

Creating a Digital Twin of Bristol Temple Meads 

The Optimise-AI team developed a virtual representation—or digital twin—of Bristol Temple Meads, providing a comprehensive view of the station’s operations and energy consumption. This 3D visualisation, powered by real-time data, allowed us to identify inefficiencies and simulate various scenarios for energy and carbon savings. 

The results? Potential energy reductions of up to one-third. These savings can be achieved through: 

• Static Measures: Implementing physical upgrades such as energy-efficient windows, better insulation, heat pumps, and LED lighting. 

• Dynamic Measures: Adjusting heating levels, ventilation, and lighting intensity based on real-time conditions. 

Small Sensors, Big Impact 

Our IoT sensors were Installed throughout the station and these sensors collect real-time data on occupancy, temperature, humidity, carbon dioxide levels, and energy use. By analysing this data, the system can make intelligent, automated decisions. For example: 

• Adjusting lighting and heating in underutilised spaces. 

• Anticipating passenger flows at barrier gates and platforms using train schedules to optimise energy output. 

This intelligent approach ensures energy is used only where and when it’s needed, minimising waste and reducing carbon emissions. 

Bridging Data Gaps in the Built Environment 

One of the key challenges in many buildings, including railway stations, is the lack of actionable data on energy use. Stations are often inefficient, with lighting, lifts, escalators, and other machinery operating indiscriminately. By introducing additional energy meters and sensors, we’ve been able to bridge this data gap, offering insights that were previously out of reach. 

The Role of Connected Places Catapult 

Optimise-AI’s journey wouldn’t have been possible without the invaluable support of Connected Places Catapult. Through its funding programs and industry connections, we secured critical resources, including a £70,000 grant to refine our technology for Bristol Temple Meads. 

“The Catapult team has been instrumental in helping us scale and connect with key partners like Network Rail,” said Nick Tune, founder and director of Optimise-AI. “Their support allowed us to rebuild our system interface and demonstrate its potential in real-world applications.” 

Looking Ahead: Scaling Up and Expanding Impact 

The success at Bristol Temple Meads is just the beginning. Optimise-AI envisions rolling out our digital twin technology across the rail sector, from other large stations to rail depots and operational line-side buildings. Beyond fixed infrastructure, there’s also enormous potential to optimise the energy performance of electric trains themselves. 

At Optimise-AI, we’re leading the charge in transforming the rail industry’s approach to energy management. By leveraging live data and advanced AI, we’re empowering railway operators to make smarter, more sustainable choices—paving the way for a greener future. 

Want to learn more about our work? Contact us at www.optimise-ai.com and explore how we’re driving innovation in energy efficiency and decarbonisation. 

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