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Predicting exhaust emissions of a liquefied petroleum gas engine

Posted on:2008-12-16Degree:M.SType:Thesis
University:Southern Illinois University at CarbondaleCandidate:Cremeens, Kevin WayneFull Text:PDF
GTID:2442390005967648Subject:Engineering
Abstract/Summary:
Quantifying nonroad engine emission levels under different ambient and operating conditions can complement current manufacturer's certifications. An initial data set consisting of CAN, weather, and emissions information was obtained from a 104 hp LPG irrigation engine using different RPM and torque settings over an ambient temperature range of 75°F to 103°F. Polynomial models were developed to determine what variables affect emission levels of oxides of nitrogen (NOx) and Carbon Monoxide (CO) at different ambient and operating conditions. Variables shown to have a direct affect on predicting NOx emission levels at 90 percent confidence levels were fuel rate, rpm, and humidity. Variables shown to have a direct affect on predicting CO emission levels at 76 percent confidence levels were rpm, percent torque, and manifold temperature. Using modeling software to predict gaseous emissions of a LPG engine is possible.
Keywords/Search Tags:Emission, Engine, RPM, Predicting
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