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Stationary Source Condensable Particulate Matter Method 202 Dataset
Citation:
Kariher, P., D. Nash, N. Shappley, J. Dewees, P. Van Rooy, AND W. Lin. Stationary Source Condensable Particulate Matter Method 202 Dataset. U.S. Environmental Protection Agency, Washington, DC, 2022.
Impact/Purpose:
Condensable Particulate Matter (CPM) is defined in 40 CFR Part 51 as material in the vapor phase at stack conditions that condenses immediately upon stack discharge to ambient air through cooling and diluting, or reacts to form solid or liquid particulate matter (PM) in the PM 2.5µm size fraction. With advanced controls non-condensable (filterable) PM levels being discharged from stationary sources have decreased significantly, such that CPM has become increasingly important pollutant to measure accurately, especially regarding source permitting requirements. The purpose of this research is to fundamentally investigate the measurement quality of both Method 202 and OTM-37 under controlled conditions. This research will provide the first ever, direct comparison of the two different measurement approaches. This research will direct OAQPS and the Regions, State and Local governments to support the implementation of PM 2.5 NAAQS, and potentially support OAQPS in the promulgation of a new reference method or modifications to existing methods.
Description:
This project compares the performance of Methods 202 and OTM-37, learn more about OTM-37 and how it should be modified for easier and more accurate execution, and attempt to gain better knowledge as to where and by what mechanism CPM formation occurs. To this end, EPA Method 202 will run concurrently with OTM-37 and the amount of CPM from each will be compared. This testing was performed at the bench scale using a flow tube particle aging chamber (flow tube) to simulate conditions in a refinery environment. This dataset will present ORD air emissions measurements from a Method 202 sampling train operated under different conditions. Blank data from a contract laboratory performing PM analysis of sampling train media is also presented.