Mixed-model statistical analysis of fuel, equipment, mileage, and driving schedule effects on particulate matter emissions from heavy diesel-powered vehicles.
An extensive experimental program has been conducted to evaluate the comparative effects of California Air Resources Board diesel fuel and an ultra-low-sulfur (S) diesel (with and without aftermarket passive filtering devices) on mass emissions of particulate matter (PM) in heavy vehicles. Tests have been performed on 20 Class 8 trucks at two high-mileage levels using two different driving schedules. The design of the test program facilitates the use of mixed-model statistical analysis, which allows more appropriate treatment of the explanatory variables than normally achieved. The analysis suggests that the ultra-low-S diesel fuel yields extremely low mean PM emissions when used in conjunction with a particulate filter, even at high mileage, but that the estimates are highly variable. The high degree of uncertainty, caused at least in part by large vehicle-to-vehicle variation, may obscure the true PM response and adversely impact attainment of increasingly more stringent diesel PM emissions standards in the United States.
Department of Management Science, Abilene Christian University, Abilene, Texas 79699, USA. tim.coburn@coba.acu.edu
Timothy C
TC
Coburn
D000393:Air Pollutants / Q000032:analysis*; D001334:Automobile Driving; D004738:Engineering; D004784:Environmental Monitoring; D005742:Gasoline / Q000032:analysis*; D001335:Vehicle Emissions / Q000032:analysis*
D000393:Air Pollutants; D005742:Gasoline; D001335:Vehicle Emissions