Transportation CO2 Emissions in Automotive Life Cycle Assessments of Electric Vehicles - a Systems Theory Evaluation
Abstract
Electric vehicles are widely viewed as having the potential to reduce global carbon
emissions because they effectively produce no carbon emissions to operate when powered
by a low carbon electric energy source for charging their batteries. Given that transportation
activities account for around a quarter of global carbon emissions, a societal switch to
electric vehicles appears to offer significant potential in reducing global carbon emissions as
most transport emissions are caused by internal combustion engines which burn fossil fuels.
However, when viewed from an overall systems perspective (i.e. the entire “cradle to grave”
life cycle of an electric vehicle – spanning from raw materials mining and extraction to final
disposal and recycling) it transpires that significantly more carbon emissions are generated
in order to manufacture electric vehicles, compared to traditional internal combustion engine
vehicles.
Taken over the whole life cycle of the vehicle, it can be several years of operation before the
anticipated lower carbon emissions of electric vehicles are realised. Indeed, in some
countries which rely on fossil fuel electric power generation, a traditional internal combustion
engine vehicle produces lower carbon emissions over its life cycle.
Significant research has already been conducted by others on the whole life-cycle carbon
emissions of both electric vehicles and internal combustion engine vehicles. However,
within that research, there has been no visible scrutiny of the CO2 emissions arising from the
logistics transportation activities which are needed in order to produce these vehicles. This
apparent omission in the existing research is surprising considering that transportation
carbon emissions account for such a large proportion of global carbon emissions. Thus,
there is a risk – if these transportation emissions are significant – that the anticipated
environmental benefits of electric vehicles may be less than thought.
Addressing this gap in the literature, this research examines, calculates and compares the
carbon emissions arising from transportation activities in electric vehicle supply chains,
comparing them with internal combustion engine vehicle supply chains and thereby provides
an original contribution to knowledge.
This was done via a case study simulation of supply chains of vehicle production in Germany
for both types of vehicle, spanning from raw materials extraction to the completed vehicle
manufacture. A proxy model of supply chains of vehicle materials was developed
specifically for this research. It was found that electric vehicle supply chains give rise to 72%
more carbon emissions in their transportation activities than equivalent internal combustion
engine vehicles.
Notwithstanding this, these emissions remain modest compared to carbon emissions in the
rest of the vehicle life cycles and it was calculated that including these emissions in life cycle
calculations typically delays the anticipated environmental benefits of electric vehicles by a
mere few months of typical usage.
Moreover, in the case of internal combustion engine vehicles this figure remains insignificant
compared to the carbon emissions produced by years of burning fossil fuels during their
usage phase, justifying this omission from the historical research literature.
In the case of electric vehicles though – where these emissions during the usage phase are
potentially eliminated – these emissions become comparable in size to their end of life and
recycling emissions, and are around half the magnitude of the manufacturing emissions
(both of which typically are considered in electric vehicle life cycle assessments). Thus, this
research demonstrates that the impact of supply chain transportation emissions can no
longer be omitted in the life cycle assessment literature. This is of specific importance to the
wider research body in electric vehicle emissions, and thus relevant to academics,
consultants and researchers who engage in this area of work.
Publication date
2024-12-09Funding
Default funderDefault project
Other links
http://hdl.handle.net/2299/28809Metadata
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