Sustainable Transport

Transport accounts for between 20% and 25% of global carbon emissions, thus is an essential target to achieve decarbonisation. We are solving this issue using multiple approaches, as there will not be a one-size-fits-all solution for all modes of transport. These are cross-disciplinary problems that range from the design and discovery of new materials, to using machine learning and numerical modelling to analyse the behaviour of people using transport.

Specifically, some of our research areas are:

  • New, sustainable, materials for faster charging batteries that allow for longer range journeys.
  • Cheaper and more abundant materials for hydrogen fuel cells.
  • Measurement of how emissions change depending on how large ships are operated.
  • Using machine learning to model traffic flow.

We driving innovative solutions these problems through a combination of top-down approaches, such as modelling and measurement, and bottom-up strategies, involving the development of new materials to enhance existing technologies, offers the best opportunity to reduce emissions in the transport sector. Our dedication to life cycle assessment ensures our research strives for the lowest carbon footprint, aiming for zero or negative emissions.

Textile-based piezoelectric energy harvester using ZnO nanorods grown on e-textile enabling wearable kinetic energy harvestingTextile-based piezoelectric energy harvester using ZnO nanorods grown on e-textile enabling wearable kinetic energy harvesting
Photoelectrochemical-photovoltaic coupled solar hydrogen production
Photoelectrochemical-photovoltaic coupled solar hydrogen production