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Should Particle Size Analysis Data be Combined with EPA Approved Sampling Method Data in the Development of AP-42 Emission Factors?

Published by the American Society of Agricultural and Biological Engineers, St. Joseph, Michigan www.asabe.org

Citation:  2015 ASABE Annual International Meeting  152190969.(doi:10.13031/aim.20152190969)
Authors:   Thomas W. Moore, Michael D Buser, Derek P Whitelock, Doug W Hamilton, John D Wanjura
Keywords:   Cotton, AP-42, EPA, Emission Factors, Gin Systems

Abstract. A cotton ginning industry-supported project was initiated in 2008 and completed in 2013 to collect additional data for U.S. Environmental Protection Agency‘s (EPA) Compilation of Air Pollution Emission Factors (AP-42) for PM10 and PM2.5. Stack emissions were collected using particle size distribution analysis (PSD), a non-approved EPA sampling method, on samples collected using EPA‘s Method 17. This study focused on determining whether PSD data collected by the industry-supported project (hereafter referred to as “National Study”) should be combined with data collected with EPA-approved methods using EPA‘s 2013 Emission Factor Development Procedures. When compared to emissions factor developed from the National Study EPA-approved methods, emission factors developed from PSD data were an average 49.3% lower for PM10 and 75.2% for PM2.5 for the 17 ginning systems tested. However, when the datasets were combined, no test runs or method averages were found to be outliers. This indicates that the datasets should be combined for emission factor development.

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