Determination of PM mass emissions from an aircraft turbine engine using particle effective density

作者：Durdina L; Brem B T; Abegglen M; Lobo P; Rindli**acher T; Thomson K A; Smallwood G J; Hagen D E; Sierau B; Wang J^*

来源：Atmospheric Environment, 2014, 99: 500-507.

DOI：10.1016/j.atmosenv.2014.10.018

• Aviation
• Aircraft
• Emissions
• Particulate matter
• Effective density
• Black carbon

Inventories of particulate matter (PM) emissions from civil aviation and air quality models need to be validated using up-to-date measurement data corrected for sampling artifacts. We compared the measured black carbon (BC) mass and the total PM mass determined from particle size distributions (PSD) and effective density for a commercial turbofan engine CFM56-7B26/3. The effective density was then used to calculate the PM mass losses in the sampling system. The effective density was determined using a differential mobility analyzer and a centrifugal particle mass analyzer, and increased from engine idle to take-off by up to 60%. The determined mass-mobility exponents ranged from 2.37 to 2.64. The mean effective density determined by weighting the effective density distributions by PM volume was within 10% of the unit density (1000 kg/m(3)) that is widely assumed in aircraft PM studies. We found ratios close to unity between the PM mass determined by the integrated PSD method and the real-time BC mass measurements. The integrated PSD method achieved higher precision at ultra-low PM concentrations at which current mass instruments reach their detection limit. The line loss model predicted similar to 60% PM mass loss at engine idle, decreasing to similar to 27% at high thrust. Replacing the effective density distributions with unit density lead to comparable estimates that were within 20% and 5% at engine idle and high thrust, respectively. These results could be used for the development of a robust method for sampling loss correction of the future PM emissions database from commercial aircraft engines.

• 出版日期2014-12