Semester
Spring
Date of Graduation
1999
Document Type
Thesis
Degree Type
MS
College
Statler College of Engineering and Mineral Resources
Department
Mechanical and Aerospace Engineering
Committee Chair
Nigel N. Clark.
Abstract
Heavy duty vehicle emissions represent a significant portion of the mobile source emissions inventory. Accurate estimation of their contribution is essential as on-highway and non-road heavy duty diesel emissions account for at least one third of the oxides of nitrogen (NOx) in the inventory. West Virginia University (WVU) has developed an extensive database of continuous transient gaseous emissions levels from a wide variety of heavy duty vehicles in field operation, from which a subset of vehicles (A to J) have been chosen for further analysis. Several different transient cycles were utilized for testing including the Central Business District schedule. The resulting continuous emissions data from trucks and buses (vehicles A to J) were correlated with instantaneous axle power, but before correlating it was necessary to perform optimal time alignment or shifting of the exhaust emissions data with respect to the instantaneous power produced by the vehicle. Residence time distributions associated with the emissions measurement were addressed by applying a dispersion function to the measured axle power. The emissions inventory data obtained using transient chassis testing of vehicles of different model years and different engines, and their correlation with axle power can be employed in inventory models. (Abstract shortened by UMI.).
Recommended Citation
Ramamurthy, Ravishankar, "Heavy-duty emissions inventory and prediction" (1999). Graduate Theses, Dissertations, and Problem Reports. 955.
https://researchrepository.wvu.edu/etd/955