Presentation Profile
Predicting Gasoline Particulate Emissions – A Perspective on Measurement Technologies including GC-VUV
Currently Scheduled: 10/13/2021 - 9:50 AM - 10:20 AM
Room: Vine 2 - Hotel
Main Author
Dan Wispinski - VUV Analytics
- Alex Hodgeson - VUV Analytics
Abstract:
The direct link between gasoline composition and tailpipe particulate emissions is well established by calculation tools such as particulate matter index (PMI) and particulate evaluation index (PEI). The auto industry and climate scientists utilize these indices because they can differentiate fuels with particulate producing propensities. A particulate index must reliably and reproducibly produce accurate compositional data especially for aromatics and diaromatics as well as other compounds including oxygenates. Various measurement techniques are described in a recent SAE paper Citation: Chapman, E., Salyers, J.T., Wispinski, D., Scussel, M. et al., “Comparison of the Particulate Matter Index and ParticulateEvaluation Index Numbers Calculated by Detailed Hydrocarbon Analysis by Gas Chromatography (Enhanced ASTM D6730) andVacuum Ultraviolet Paraffin, Isoparaffin, Olefin, Naphthene, and Aromatic Analysis (ASTM D8071),” SAE Technical Paper 2021-01-5070,2021, doi:10.4271/2021-01-5070.
These techniques include the unique benefits of the gas chromatography/vacuum ultraviolet detection. VUV spectroscopy is versatile and especially well-suited to aromatic and diaromatic analysis – the compounds that contribute the most to particulates. Standardized GC-VUV test methods, such as ASTM D8071, are already available to apply to a particulate index calculation. The precision (repeatability and reproducibility) of ASTM D8071 will be compared to detailed high-resolution gas chromatography (ASTM D6730) as well as common EPA regulatory methods including ASTM D1319, ASTM D5599, ASTM D5769 and ASTM D6550.
Broad acceptance of predictive particulate indices will depend on ease of use and universal adoption of a standardized technique.
