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Characterizing Black Carbon Emissions from Gasoline, LPG, and Diesel Vehicles via Transient Chassis-Dynamometer Tests

Authors :
Sanguk Lee
Gyutae Park
Siyoung Choi
Seok-Won Kang
Dong-Gil Yu
Kyunghoon Kim
Taehyoung Lee
Yunsung Lim
Jung-Hun Woo
Jihee Ban
Jongmin Lee
Taehyun Park
Sunmoon Kim
Source :
Applied Sciences, Volume 10, Issue 17, Applied Sciences, Vol 10, Iss 5856, p 5856 (2020)
Publication Year :
2020
Publisher :
Multidisciplinary Digital Publishing Institute, 2020.

Abstract

With global anthropogenic black carbon (BC) emissions increasing, automobiles are significantly contributing as the major source of emissions. However, the appropriate regulations of BC emissions from vehicles are not in place. This study examined BC emissions following fuel types (gasoline, liquefied petroleum gas (LPG), and diesel) and engine combustion (gasoline direct injection (GDI) and multi-port injection (MPI) for gasoline vehicles) with emission regulations. To this end, chassis dynamometer and aethalometer (AE33) were used. Driving modes created by the National Institute of Environmental Research (NIER) and emission certification modes (CVS-75 and NEDC) for vehicles in Korea were used to determine BC emissions for various vehicle speeds. In addition, the contributions of biomass and coal combustion to the data of AE33 were analyzed to determine the possibility of tracking the BC sources. MPI, LPG, and EURO 6 with diesel particulate filter (DPF) vehicles emitted the lowest BC emissions in NIER modes. Among gasoline vehicles, MPI vehicles showed the lower BC content in PM emissions. Also, older vehicles in MPI vehicles emitted the high PM and BC emissions. The BC emissions of EURO 3 vehicles without DPF were the highest as the results of previous studies, and it was found that as emissions regulations were tightened, the level of BC results of diesel vehicles became similar with MPI vehicles. The average absorption &Aring<br />ngstr&ouml<br />m exponent (AAE) from difference emissions sources were biomass combustion (oak wood) &gt<br />coal combustion (the power plant stack) &gt<br />automobile emissions (gasoline, LPG, diesel).

Details

Language :
English
ISSN :
20763417
Database :
OpenAIRE
Journal :
Applied Sciences
Accession number :
edsair.doi.dedup.....04ed6540301fb5aec9c6bc506c73ab1f
Full Text :
https://doi.org/10.3390/app10175856