Meet the teams taking part in Shell Eco-marathon

With the aim of greater public awareness and involvement in the home decarbonisation mission, the E4 UFSC team devised a website to help consumers make better choices for their home when it comes to sustainability and responsible living.

This team saw the answer to the home decarbonisation challenge as reducing each home’s energy usage by as much as possible, so they thought up a non-invasive control system for the home.

Team Kaizen’s approach to the home decarbonisation challenge is multifaceted, understanding that a range of solutions are needed to significantly reduce carbon emissions from the residential sector.

Deciding that passenger vehicle emissions are best reduced by improving driver habits, the University of Alberta EcoCar team proposed a solution that increases fuel efficiency by using individual driver data to provide personalised feedback.

The AlecTED team turned to the natural world for inspiration when attempting to reduce the CO2 emissions of passenger vehicles, exploring how specific vehicle formations could help reduce drag friction on the road.

To help track and reduce CO2 emissions from passenger vehicles, the Alamat UP team designed a mobile app, titled CERO (CO2 Emission Reduction Operation), which helps users to monitor their fuel consumption and reduce it by implementing eco-driving best practices.

To tackle the challenge of decarbonising road freight transport, the Eco Octano UFPR Eléctrico team conceived a transport management AI system that would help to gather relevant shipment data, before outlining the options in order of their estimated CO2 emissions.

With an aim to decarbonise road freight transport, the Galway Energy-Efficient Car team identified the aerodynamics of heavy goods vehicles (HGVs) as a key area of potential improvement.

To effectively decarbonise road freight transport, the DTU Supermileage team proposed an approach that focused on three key areas: logistics and supply chain; onboard carbon capturing and utilisation; and vehicle efficiency.

The CCE Collective team’s solution to optimising an all-electric drive from Rio de Janeiro to Toronto involved a significant revamp of the car itself, alongside the addition of an advanced GPS system.

With CO2 emissions top of mind, the Ecocar UNICAMP team designed a mobile app to help optimise electric vehicle (EV) travel between Rio de Janeiro in Brazil and Toronto in Canada.

To optimise the journey of an electric vehicle (EV) between London and Moscow, the Ecogenium team designed a mobile app with navigation and user enjoyment at its core.

Selecting a Tesla Model 3 Long Range Performance 2019 as their electric vehicle of choice, the ETA team explored how both mathematics and chemistry can help overcome the current limitations of long-distance electric vehicle (EV) driving.