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Publikacje Pracowników Politechniki Lubelskiej

MNiSW
140
Lista 2024
Status:
Autorzy: Kozłowski Edward, Wiśniowski Piotr, Matijošius Jonas, Zimakowska-Laskowska Magdalena, Rimkus Alfredas, Gołda Paweł, Kilikevičius Artūras
Dyscypliny:
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Rok wydania: 2026
Wersja dokumentu: Elektroniczna
Język: angielski
Wolumen/Tom: 232
Numer artykułu: 154784
Impact Factor: 8,3
Web of Science® Times Cited: 0
Scopus® Cytowania: 0
Bazy: Web of Science | Scopus
Efekt badań statutowych NIE
Materiał konferencyjny: NIE
Publikacja OA: NIE
Abstrakty: angielski
The article presents an analytical framework for studying vehicle emissions under urban real-world driving conditions. The study investigates how driving behaviour and fuel type influence emission levels. The main objective of the study was to analyse how driving speed and acceleration, together with the use of alternative fuels, influence the emission of pollutants such as carbon monoxide (CO), carbon dioxide (CO2), hydrocarbons (HC), and nitrogen oxides (NOx). The analysis employed interpolation-based methods to investigate the relationship between vehicle speed, acceleration, and emission levels. The study concentrated on comparing the emissions of automobiles using a hydrogen-enriched gasoline mix (G94H6) against those running gasoline (G100). The results indicated that the hydrogen-enriched fuel reduced CO and HC emissions. HC emissions dropped 16.02%; CO emissions dropped 13.54%. A reduction in CO2 emissions of 4.39% was also observed. By including hydrogen into the fuel, NOx emissions increased by 12.65% due to higher combustion temperatures linked with hydrogen, which improve the chemical processes causing NOx generation. The analysis of standard deviations indicated that the G94H6 mixture exhibited lower variability in emission values, suggesting more stable emission behaviour under the analysed driving conditions. The 2D state density visualisations indicated minor differences in driving dynamics between the analysed fuel types, suggesting that the observed emission changes were mainly associated with fuel composition. The 3D emission maps enabled the evaluation of the combined influence of vehicle speed and acceleration on emission levels. The results highlight the importance of analysing emissions under representative driving conditions. The findings may support further research on hydrogen-enriched fuels and strategies for reducing emissions from road transport.