Author
Listed:
- Gergő Sütheö
(Zalaegerszeg Innovation Park, Széchenyi István University, H-8900 Zalaegerszeg, Hungary)
- András Háry
(ZalaZONE Industrial Park Ltd., H-8900 Zalaegerszeg, Hungary)
Abstract
Environmental protection and greenhouse gas (GHG) emissions are getting increasingly high priority in the area of mobility. Several regulations, goals and projects have been published in recent years that clearly encourage the reduction of carbon dioxide (CO 2 ) emission, the adoption of green alternatives and the use of renewable energy sources. The study compares CO 2 emissions between conventional diesel and liquefied natural gas (LNG) heavy-duty vehicles (HDVs), and furthermore investigates the main influencing factors of GHG emissions. This study was carried out in a test–track environment, which supported the perfect reproducibility of the tests with minimum external influencing factors, allowing different types of measurements. At the results level, our primary objective was to collect and evaluate consumption and emission values using statistical methods, in terms of correlations, relationships and impact assessment. In this research, we recorded CO 2 and pollutant emission values indirectly via the fleet management system (FMS) using controller area network (CAN) messages. Correlation, regression and statistical analyses were used to investigate the factors influencing fuel consumption and emissions. Our scientific work is a unique study in the field of HDVs, as the measurements were performed on the test track level, which provide accuracy for emission differences. The results of the project clearly show that gas technology can contribute to reducing GHG emissions of HDVs, and LNG provides a reliable alternative way forward for long-distance transportation, especially in areas of Europe where filling stations are already available.
Suggested Citation
Gergő Sütheö & András Háry, 2024.
"Comparison of Carbon-Dioxide Emissions of Diesel and LNG Heavy-Duty Trucks in Test Track Environment,"
Clean Technol., MDPI, vol. 6(4), pages 1-15, November.
Handle:
RePEc:gam:jcltec:v:6:y:2024:i:4:p:70-1479:d:1512493
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