Record Display for the EPA National Library Catalog

RECORD NUMBER: 421 OF 1867

OLS Field Name OLS Field Data
Main Title Dependence of Nitric Oxide Emissions on Vehicle Load: Results from the Georgia Tech Research Partnership (GTRP) Instrumented Vehicle Program.
Author Ripberger, C. T. ; Shores, R. C. ; Rodgers, M. O. ;
CORP Author Georgia Inst. of Tech., Atlanta. School of Earth and Atmospheric Sciences.;Environmental Protection Agency, Research Triangle Park, NC. National Risk Management Research Lab.
Publisher 1999
Year Published 1999
Report Number EPA-R-823020; EPA/600/A-99/072;
Stock Number PB2000-100895
Additional Subjects Vehicle air pollution ; Nitric oxide ; Air pollutin monitors ; Exhaust emission measurement ; Nitrogen oxides ; Emission factors ; Throttling ; Speed ; Gear shifting ; Driving style effect on exhaust emissions ; Loads(Forces) ; Air pollution sampling ; Estimating ; Mathematical models ; Urban highways ; Automobiles ; Motor vehicles ; Tailpipes ; MAF(Mass Air Flow) ; GTRP(Georgia Tech Research Program)
Holdings
Library Call Number Additional Info Location Last
Modified
Checkout
Status
NTIS  PB2000-100895 Most EPA libraries have a fiche copy filed under the call number shown. Check with individual libraries about paper copy. NTIS 05/11/2000
Collation 30p
Abstract
The presentation discussed the dependence of nitric oxide (NC) emissions on vehicle load, based on results from an instrumented-vehicle program. The accuracy and feasibility of modal emissions models depend on algorithms to allocate vehicle emissions based on vehicle operations. These models typically have a load model component that relates vehicle operating forces to engine and/or vehicle emissions. The presentation focuses on the accuracy and uncertainties associated with prediction of NO emissions based on various vehicle loads. The data used for this study are derived from measurements on six fully instrumented vehicles that were driven through a series of fixed obstacles at various speeds and throttle positions to observe vehicle emissions over a wide range of vehicle loads. The vehicles were also operated on a series of urban routes to evaluate emissions at high-speed cruise and other steady-state modes. Results from these data indicate that a load-based model can accurately estimate NO emissions if vehicle gearing can be estimated. The presentation discusses two approaches to evaluating vehicle gearing for modeling purposes and the advantages and limitations of each.