Automotive and mechanical engineering master’s students worked with the company on a project to drive HGV fleet decarbonisation, reducing SYNETIQ’s Scope One emissions.
Energy consumption due to heavy goods vehicles grew by over 50% between 2000 and 2005, and the transport sector currently accounts for 24% of carbon dioxide (CO2) emissions worldwide.
Nicholas Pickett, Subject Group Leader for Mechanical, Materials and Design at Sheffield Hallam University said: “The visit was to support our level 7 M.Eng. automotive and mechanical engineering students, who are working on a collaborative group project with SYNETIQ Ltd. The visit itself has enabled our students to gain a greater appreciation of the technical, commercial and environmental challenges the company faces when processing a salvaged vehicle, in order to reclaim and recycle its components and materials.
“We are very grateful to the company for allowing us to visit, and for the time their staff spent explaining and answering our students’ many questions about their processes.”
According to the Road Haulage Association, a major issue preventing the reduction of CO2 emissions from HGVs is a lack of infrastructure allowing adequate power for battery or hydrogen-powered vehicles. The SYNETIQ and Sheffield Hallam University project could support a future selection of fuelling options for the sector.
Elisa Caton, Sustainability Manager at SYNETIQ said: “We’re proud to continue our work with Sheffield Hallam as part of our ongoing commitment to reaching net-zero operational carbon emissions. The project with Sheffield Hallam University is key to achieving important milestones on our journey, and we look forward to exploring alternative and innovative solutions over the coming years as we work together to build a more sustainable future.”
Energy consumption due to heavy goods vehicles grew by over 50% between 2000 and 2005, and the transport sector currently accounts for 24% of carbon dioxide (CO2) emissions worldwide.
The project runs in tandem with SYNETIQ’s fuel-efficient routeing of vehicles and its work to capture driver behaviour to define more effective driver-training.
