Prediction of Pollutant Emissions in Various Cases in Road Transport

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Abstract

The road transport sector is a key source of carbon dioxide and air pollutants. Mathematical modeling is frequently used to assess the sector’s contribution to the total national emissions budget (inventory). The present article focuses on studying the impacts of the fuel used (LPG, CNG, gasoline, diesel, and biofuel), the Euro standard, and the structure of vehicles on CO2, NOX, and PM2.5 emissions. This paper presents the results of mathematical simulations of the influence of the fuel type and Euro standards on pollutant emissions. Two scenarios were considered in terms of the effect on CO2, NOX, and PM2.5 emissions: one focused on changing the current fleet and introducing Euro 6/VI vehicles, and the second scenario focused on cities adding low-pollution zones (only Euro 6 vehicles and PHEVs, HEVs, and BEVs entering the city). The results of the simulations showed that Euro 6/IV vehicles emit significantly less PM2.5 and NOX, and biofuels can substantially contribute to reducing emissions.

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APA

Zimakowska-Laskowska, M., Laskowski, P., Wojs, M. K., & Orliński, P. (2022). Prediction of Pollutant Emissions in Various Cases in Road Transport. Applied Sciences (Switzerland), 12(23). https://doi.org/10.3390/app122311975

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