Assessment of pathways to reduce CO2 emissions from passenger car fleets: Case study in Ireland
Abstract This study modelled the Passenger (PC) fleet and other categories of road transport in Ireland from 2015 to 2035 to assess the impact of current and potential greenhouse gas mitigation policies on CO 2 emissions. Scenarios included the shift of purchasing towards diesel PCs over gasoline PCs. Scrappage rates were also calculated and applied to the fleet to predict future sales of PCs. Seven future policy scenarios were examined using different penetrations of PC sales for different vehicle technologies under current and alternative bio-fuel obligations. Tank to Wheel (T2W) tailpipe and Well to Wheel (W2W) CO 2 emissions, and energy demand were modelled using COPERT 4v11.3 and a recently published W2W CO 2 emissions model. A percentage reduction of conventional diesel and petrol vehicles, in different scenarios compared to a baseline scenario in the W2W model was applied to estimate the likely changes in T2W emissions at the tailpipe up to 2035. The results revealed that the biofuel policy scenario was insufficient in achieving a significant reduction of CO 2 emissions. However, without a fixed reduction target for CO 2 from the road transport sector, the success of policy scenarios in the long run is difficult to compare. The current Electric vehicle (EV) policy in Ireland is required to be implemented to reduce CO 2 emissions by a significant level. Results also show that a similar achievement of CO 2 emission reduction could be possible by using alternative vehicle technologies with higher abatement cost. However, as EV based policies have not been successful so far, Ireland may need to search for alternative pathways. Highlights Integration of models provides a robust estimation of tailpipe CO 2 emissions. Taxation impact of vehicle fleet dieselisation was modelled. A scenario development approach was proposed for policy analysis. EV provided the largest cost saving option than that of the other fuel technologies.
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