AI for Net Zero is using Artificial Intelligence (AI) to help the UK’s energy and transport sectors achieve carbon net zero.
In order to optimise energy and transport sectors to help achieve the Net Zero aims, we are developing faster and more accurate digital twins of their physical systems. We are utilising state of the art modelling techniques, energy-efficient AI algorithms, and the latest computing hardware.
OUR SOFTWARE
Pioneering approaches to create models of complex systems capable of real-time behaviour prediction, paving the way for efficient modelling and control of engineering systems in real-world applications.
Integrating sensor data with qualitative models using advanced scientific machine learning and data assimilation techniques, we create a robust framework for real-time digital twinning and control.
Virtual replicas of physical systems make it possible to monitor and analyse operations in real-time, enabling faster and more informed decision-making.
From optimising data centre cooling to improving road transportation systems and advancing renewable energy solutions like wind farms and hydrogen storage, the applications are far-reaching.
We are integrating Digital Twins into different applications: wind energy, road transport, and Hydrogen safety. Digital Twins mimic real life environments to collect data, and this data is being used to optimise outputs in real-life scenarios. Our research is improving the understanding in this field to help the UK in using AI to optimise energy and transport processes and ultimately achieve the national net zero aims. Read more in our whitepaper.
On the 17th and 18th March 2025, the team took the project to the prestigious AI UK conference, organised by The Alan Turing Institute, held at the Queen Elizabeth II conference centre, Westminster, London. The conference…
Project researcher Andrew Mole (Imperial College London), and winner of the ARCHER2 Image Competition 2024 will be presenting a webinar on Wednesday 19th March 15:00 – 16:00, with Dr Sébastien Lemaire (EPCC). In the webinar The Science behind…