Fuel Efficiency Technology in European Heavy-Duty Vehicles: Baseline and Potential for the 2020-2030 Time Frame

The technical research described in this report is aimed at informing stakeholders on the technological potential for improving the efficiency of new heavy-duty freight-hauling vehicles in the EU in the 2020–2030 time frame, thereby reducing carbon dioxide (CO₂) emissions and fuel consumption from these vehicles. The analysis focuses on two vehicle segments on either end of the freight hauling operational spectrum: long-haul tractor-trailers and urban rigid delivery trucks. These segments represent approximately 85% of heavy duty vehicle (HDV) CO₂ emissions. Given that the effectiveness of a technology is strongly influenced by the characteristic driving cycle of the vehicle, the selection of these two HDV classes is aligned with the study’s objective of analyzing a wide range of fuel-saving technologies. The first step is to define two baseline vehicles representing the average of the corresponding HDV segment. The second step is to determine how much fuel consumption could be reduced from these vehicles by applying technologies that are either already commercially available or that are estimated to become commercially available within the next decade. The study uses vehicle simulation modeling software to determine the fuel consumption of the two baseline vehicles as well as the potential improvement from a stepwise addition of successively more advanced technology packages. The accuracy of the modeling depends heavily on the accuracy of the model inputs that are used. For that reason, a key component of the study is comprehensive literature research to obtain and validate the inputs, such as the engine fueling map, aerodynamic drag coefficient, and the rolling resistance of the vehicle for both the baseline and the technologically advanced vehicles. The findings from the study show that there is significant potential to reduce fuel consumption from the current average EU freight truck.

Language

  • English

Media Info

  • Media Type: Digital/other
  • Edition: White Paper
  • Features: Figures; References; Tables;
  • Pagination: 76p

Subject/Index Terms

Filing Info

  • Accession Number: 01650922
  • Record Type: Publication
  • Files: TRIS
  • Created Date: Jul 25 2017 1:52PM