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Analysis of emissions from a heavy vehicle designed for transporting concrete
1
Faculty of Civil and Transport Engineering, Poznan University of Technology., Poland
Submission date: 2025-11-12
Final revision date: 2026-03-10
Acceptance date: 2026-03-12
Online publication date: 2026-04-21
Corresponding author
Maciej Bednarek
Faculty of Civil and Transport Engineering, Poznan University of Technology., Poland
Faculty of Civil and Transport Engineering, Poznan University of Technology., Poland
KEYWORDS
TOPICS
ABSTRACT
In the context of global efforts to reduce greenhouse gas emissions and air pollution, increasing importance is being attached to the accurate monitoring and analysis of emissions generated by means of transport, including commercial vehicles used in specialized applications. This article presents the results of research conducted on the emissions of harmful compounds from concrete mixers in real traffic conditions. The measurements were performed using the Axion R/S+PM portable emission measurement system from Global MRV, which enabled the mass measurement of emissions of pollutants such as CO, CO2, NOx and HC under real truck driving conditions. Based on the collected data, the time density characteristics of the tested compounds were determined as a function of crankshaft speed and engine load, and their emission intensity was determined as a function of vehicle speed. On this basis, the impact of changes in load weight on the obtained emission intensity values of the tested pollutants was demonstrated. The analysis of pollutant emissions from a heavy vehicle designed for transporting concrete made it possible to determine the impact of various road conditions and engine operation on the amount and type of compounds emitted. By monitoring operating parameters such as load and engine crankshaft speed, it is possible to gain a more accurate understanding of the mechanisms of exhaust emissions under actual vehicle operating conditions. In this way, it is possible to more effectively identify situations in which pollutant emissions are particularly high and to determine the optimal operating conditions for reducing emissions.
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