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RECORD NUMBER: 3 OF 3

OLS Field Name OLS Field Data
Main Title Determination of effects of ambient conditions on aircraft engine emissions engine testing [microform] /
Author Donovan, Paul J. ; Fairchild, William R. ; Graves, Kenneth W.
Other Authors
Author Title of a Work
Fairchild, William R.
Graves, Kenneth W.
CORP Author Calspan Corp., Buffalo, NY.;Environmental Protection Agency, Ann Arbor, MI. Emission Control Technology Div.
Publisher Environmental Protection Agency, Office of Air and Waste Management, Office of Mobile Source Air Pollution Control, Emission Control Technology Division,
Year Published 1977
Report Number EPA/460/3-77/019; EPA-68-03-2159
Stock Number PB82-229360
OCLC Number 48498523
Additional Subjects Exhaust emissions ; Air pollution ; Aircraft engines ; Gas turbine engines ; Turboprop engines ; Turbojet engines ; Hydrocarbons ; Carbon monoxide ; Nitrogen oxides ; Tables(Data) ; Least squares method ; Mathematical models ; Aircraft exhaust ; EPA smoke number ; Numerical solution
Internet Access
Description Access URL
https://nepis.epa.gov/Exe/ZyPdf.cgi?Dockey=94002MVY.pdf
Holdings
Library Call Number Additional Info Location Last
Modified
Checkout
Status
ELCD  EPA-460/3-77-019 NVFEL Library/Ann Arbor, MI 12/15/2016
NTIS  PB82-229360 Most EPA libraries have a fiche copy filed under the call number shown. Check with individual libraries about paper copy. NTIS 01/01/1988
Collation 194 pages ; 28 cm.
Abstract
This report presents a set of correction factors for variations in turbine aircraft HC, CO, NOX and smoke emissions due to non-standard day ambient temperature, pressure and humidity developed for the United States Environmental Protection Agency, Ann Arbor, Michigan. These correction factors are based on data from three EPA-sponsored full-scale engine tests, two EPA-sponsored combustor rig tests, and additional data solicited from industry sources. Key correlating parameters in this analysis were combustor inlet temperature, combustor inlet pressure, and ambient humidity. The correction factors have been developed using a multiple least squares regression analysis approach using functional emissions models based upon theoretical considerations and an extensive review of current ambient effects literature. Emphasis has been placed upon relating correction factor coefficients within a general engine class to various operating characteristics of each individual engine.
Notes
Prepared under contract no. 68-03-2156. "September 1977." Microform.