GHG emission reduction potential of road freight transport by using battery electric trucks in Finland and Switzerland

Mehdi Jahangir Samet, Heikki Liimatainen, Oscar Patrick René van Vliet

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Abstract

Large-scale adoption of battery electric trucks (BETs) might be a practical solution for reducing the greenhouse gas (GHG) emission in road freight transport sector if certain requirements are met. The minimum requirements are: 1) to overcome the operational range restrictions of BETs, and 2) to access an electricity power network with a certain level of emission intensity for the battery charging and battery production. In this study, we use a parametric GHG emission life cycle analysis (LCA) combined with a BET operational range coverage analysis to develop a methodology to provide a realistic estimation of BET’s large-scale adoption and its GHG emission reduction potential for different electrification scenarios for battery and charging technology improvements in trucks with gross vehicle weight (GVW) over 3.5 tons in Finland and Switzerland. Life cycle (LC) GHG emission reduction potential in Finland is estimated to be very low (around 30% with the help of electric road system (ERS) in some routes and around 12% without ERS) in the short-term electrification scenarios; however, the mid-term and long-term scenarios are promising for LC GHG emission reduction potentials (up to 60%) even with the current level of electricity emission factors in Finland. In Switzerland, LC GHG emission reduction potential is estimated to be quite high (74% in Switzerland vs. 12%-30% in Finland) compared to Finland in the short-term electrification scenarios; however, the midterm and long-term scenarios show high LC GHG emission reduction potentials for Switzerland (around 93%), while Finland needs the help of full-decarbonization of electricity generation for battery charging and battery production in BETs, and use of renewable fuels in other trucks, to achieve high emission reduction.
Original languageEnglish
Article number121361
Number of pages15
JournalApplied Energy
Volume347
Early online date17 Jun 2023
DOIs
Publication statusPublished - 1 Oct 2023
Publication typeA1 Journal article-refereed

Keywords

  • Large-scale adoption of Battery Electric Truck (BET)
  • Life Cycle Analysis (LCA) of GHG emission
  • Parametric GHG emission LCA
  • BET operational range coverage analysis
  • Battery and charging technology improvement
  • Electric Road System (ERS)

Publication forum classification

  • Publication forum level 3

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