The application of the CO₂MPAS model for vehicle CO₂ emissions estimation over real traffic conditions

A vehicle simulation model, CO₂MPAS supports the introduction of the new WLTP-based certification system for CO₂ emissions in Europe. This paper investigates the possibility to use the underlying simulation methodology to accurately calculate CO₂ emissions over real-world trips, thus to extend the use of the methodology beyond vehicle certification. As a reference, the analysis used measurement data obtained from four vehicles over two different routes under real-world driving conditions. The CO₂ emissions were measured using portable emissions measurement systems. The formal CO₂MPAS methodology and two modified versions of it that require a reduced number of input data were assessed about their capacity to predict the measured CO₂ emissions. The analysis focused on the accuracy and uncertainty of the three different methodology configurations. As an additional benchmark, the analysis considered the CO₂ emissions estimates obtained from the EMEP/EEA Guidebook methodology used for emissions inventorying in Europe. Results show that the basic CO₂MPAS configuration demonstrates good performance in predicting CO₂ emissions over on-road tests, reaching a prediction accuracy over an entire test trip of −0,3% and a standard deviation of 3,1%. The modified versions showed slightly higher biases up to 3% and uncertainties (5–7%), but remaining within reasonable limits considering the reduced number of inputs used in each case. Given its ability to predict CO₂ emissions accurately on a local base, CO₂MPAS could be used for the prediction of instantaneous CO₂ emissions in traffic micro-simulation exercises.

• Record URL:
  https://doi.org/10.1016/j.tranpol.2020.01.005
• Record URL:
  http://www.sciencedirect.com/science/article/pii/S0967070X19307899
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/oclc/29485010
• Supplemental Notes:
  • © 2020 The Authors. Published by Elsevier Ltd. Abstract reprinted with permission of Elsevier.
• Authors:
  • Mogno, Caterina
  • Fontaras, Georgios
  • Arcidiacono, Vincenzo
  • Komnos, Dimitrios
  • Pavlovic, Jelica
  • Ciuffo, Biagio
  • Makridis, Michail
  • Valverde, Victor
• Publication Date: 2022-8

Language

• English

Media Info

• Media Type: Web
• Features: References;
• Pagination: pp 152-159
• Serial:
  • Transport Policy
  • Volume: 124
  • Issue Number: 0
  • Publisher: Elsevier
  • ISSN: 0967-070X
  • Serial URL: http://www.elsevier.com/locate/issn/096707X

Subject/Index Terms

• TRT Terms: Carbon dioxide; Fuel consumption; Greenhouse gases; Highway transportation; Light vehicles; Mathematical models; Pollutants; Simulation; Traffic characteristics
• Geographic Terms: Europe
• Subject Areas: Energy; Environment; Highways; Vehicles and Equipment;

Filing Info

• Accession Number: 01734553
• Record Type: Publication
• Files: TRIS
• Created Date: Mar 24 2020 10:49AM