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On-road Heavy-duty Vehicle Emissions Monitoring System
Author(s) -
Gary A. Bishop,
Rachel Hottor-Raguindin,
Donald H. Stedman,
Peter M. McClintock,
Ed Theobald,
Jeremy D Johnson,
Doh-Won Lee,
Josias Zietsman,
Chandan Misra
Publication year - 2015
Publication title -
environmental science and technology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.851
H-Index - 397
eISSN - 1520-5851
pISSN - 0013-936X
DOI - 10.1021/es505534e
Subject(s) - particulates , truck , environmental science , diesel fuel , heavy duty , nox , emission inventory , port (circuit theory) , diesel particulate filter , air pollution , environmental engineering , waste management , meteorology , air quality index , engineering , automotive engineering , combustion , chemistry , geography , electrical engineering , organic chemistry
The introduction of particulate and oxides of nitrogen (NOx) after-treatment controls on heavy-duty vehicles has spurred the need for fleet emissions data to monitor their reliability and effectiveness. The University of Denver has developed a new method for rapidly measuring heavy-duty vehicles for gaseous and particulate fuel specific emissions. The method was recently used to collect 3088 measurements at a Port of Los Angeles location and a weigh station on I-5 in northern California. The weigh station NOx emissions for 2014 models are 73% lower than 2010 models (3.8 vs 13.9 gNOx/kg of fuel) and look to continue to decrease with newer models. The Port site has a heavy-duty fleet that has been entirely equipped with diesel particulate filters since 2010. Total particulate mass and black carbon measurements showed that only 3% of the Port vehicles measured exceed expected emission limits with mean gPM/kg of fuel emissions of 0.031 ± 0.007 and mean gBC/kg of fuel emissions of 0.020 ± 0.003. Mean particulate emissions were higher for the older weigh station fleet but 2011 and newer trucks gPM/kg of fuel emissions were nevertheless more than a factor of 30 lower than the means for pre-DPF (2007 and older) model years.

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