Recent statistics indicates that the transportation sector is responsible for 24% of greenhouse gas emissions in the UK, with over 80% coming from road vehicles. When vehicles move, up to 65% of the energy they use is to overcome aerodynamic drag.

The overarching goal of this work package is to employ digital twins and sparse measurements to accelerate and enable real-time active aerodynamic optimisation. This will help reduce emissions and increase the range of electric cars.  

Modern large–scale wind farms consist of multiple turbines clustered together. It is difficult to understand the optimal design of a wind farm as you must consider maximising the power output whilst minimising maintenance costs. 

This work package will investigate:  

- Wake steering: we will see if the power output increases if the upstream wind turbines are misaligned. This will redirect their wakes away from downstream turbines. 

- research layout optimisation of wind turbine formations.  

Hydrogen (H2) and its carriers - such as ammonia - have been identified as the key fuels to achieve decarbonisation. However, H2 experiments are hard to perform because H2 is stored in cryogenic conditions and is extremely flammable. This means that there are limited data sets about H2 which engineers can use to improve future systems. 

This work packages main goal is to design digital twins with surrogate modelling that extrapolate well outside current datasets. This will maximise the reliability, safety and operational efficiency of hydrogen based systems.