Abstract

As climate change continues to become a bigger threat, greenhouse gas (GHG) emission reductions are becoming more and more urgent. About 7% of all GHG emissions in Germany are caused by trucks. Up to now, GHG calculations for trucks were limited in accuracy due to the lack of a matching database. For this work, a suitable database has been produced. It is applied to an existing simulation scenario. The simulation consists of “no-tax” and a “high-tax” (300 ϵ per ton of CO2eq) scenario. In both scenarios, there are conventional (diesel) and battery electric trucks available. The fleet composition results from a tour planning algorithm.The results of the emissions calculations show a marked decrease in exhaust-related emissions between the two scenarios. CO2 emissions decreased by about 48% which is in line with the reduction of diesel trucks mileage to approx. half. NOx also lessened by about 51%. Non-exhaust emissions, however, showed no such decrease. Since most PM emissions do not stem from exhaust gasses, but instead consist mainly of road- and tire-wear, they only decreased slightly. This suggests that, while a GHG tax will be effective in decreasing GHG and other exhaust emissions, it will not lead to any reduction in urban air pollution for other (non-exhaust) pollutants.

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