Decarbonising the Heavy Vehicle Sector

For the world to prevent runaway climate change, the transportation sector must be fully decarbonised. Despite substantial leaps towards decarbonising urban mobility, the freight sector remains a challenge provided the lack of confidence in Zero Emissions Heavy Vehicles (ZEHVs) such as Battery Electric and Hydrogen Fuel Cell trucks, and the sheer distances and heavy loads involved.

Matthew Sin, a Civil Engineering student and Taste of Research Scholar at the Research Centre of Integrated Transport Innovations (rCITI) of the University of New South Wales (UNSW), has undertaken a detailed literature review on the viability of ZEHVs and the total cost of ownership of battery electric and hydrogen fuel cell heavy vehicles. In his presentation at rCITI weekly seminars, he discusses overseas findings on the current economic competitiveness of ZEHVs and relating back to Australia, current challenges for ZEHV deployment and opportunities to improve ZEHV attractiveness such as reducing the total cost of onwership. This research contribution will help provide additional insights on deploying ZEHVs and the effects of policy interventions within Australia, ensuring the freight sector has a clear pathway to experience deep, rapid and sustained cuts in emissions. 

Developing a System Dynamic model

In collaboration with a System Dynamics expert, Dr  Seyed Hossein Hosseini, I have kickstarted a project to develop an integrated strategic assessment model based on system dynamic modelling approach for long-term policy and infrastructure development pathway analysis for decarbonising the heavy freight vehicle industry. This model incorporates several submodels that interact within an integrated system. These include the projection of GDP, freight tasks, infrastructure capacity requirements, total cost of ownership prediction submodel of electric battery and hydrogen fuel cell trucks, profitability of different truck sizes for the freight operator, and fuel/energy costs.

Interested postgraduate and Honours students are welcome to drive this project as their research thesis.

The reinforcing loop for truck attractiveness dynamics (for each type of truck)

The reinforcing and balancing loops for new truck sale competition

Simplified model structure for the freight fleet dynamics in Australia