The transparent, flexible, and open-source
Python library carculator_truck is introduced to
perform the life cycle
assessment of a series of medium- and heavy-duty trucks across different
powertrain types, size classes, fuel pathways, and years in a European
context. Unsurprisingly, greenhouse gas emissions per ton-km reduce
as size and load factor increase. By 2040, battery and fuel cell electric
trucks appear to be promising options to reduce greenhouse gas emissions
per ton-km on long distance segments, even where the required range
autonomy is high. This requires that various conditions are met, such
as improvements at the energy storage level and a drastic reduction
of the greenhouse gas intensity of the electricity used for battery
charging and hydrogen production. Meanwhile, these options may be
considered for urban and regional applications, where they have a
competitive advantage thanks to their superior engine efficiency.
Finally, these alternative options will have to compete against more
mature combustion-based technologies which, despite lower drivetrain
efficiencies, are expected to reduce their exhaust emissions via engine
improvements, hybridization of their powertrain, as well as the use
of biomass-based and synthetic fuels.