DOI: 10.1016/j.atmosenv.2014.10.018
Scopus记录号: 2-s2.0-84908393986
论文题名: 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 ; , Rindlisbacher T ; , Thomson K ; A ; , Smallwood G ; J ; , Hagen D ; E ; , Sierau B ; , Wang J
刊名: Atmospheric Environment
ISSN: 0168-2563
EISSN: 1573-515X
出版年: 2014
卷: 99 起始页码: 500
结束页码: 507
语种: 英语
英文关键词: Aircraft
; Aviation
; Black carbon
; Effective density
; Emissions
; Particulate matter
Scopus关键词: Aviation
; Particulate emissions
; Aircraft turbine engines
; Black carbon
; Effective density
; Mass emissions
; Particulate Matter
; Aircraft
; black carbon
; accuracy
; air quality
; aircraft
; aircraft turbine engine
; Article
; aviation
; density
; limit of detection
; mass
; measurement
; particle size
; particulate matter
; sampling
Scopus学科分类: Environmental Science: Water Science and Technology
; Earth and Planetary Sciences: Earth-Surface Processes
; Environmental Science: Environmental Chemistry
英文摘要: 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 (1000kg/m3) 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 ~60% PM mass loss at engine idle, decreasing 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. © 2014 Elsevier Ltd. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/80522
Appears in Collections: 气候变化事实与影响
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作者单位: Laboratory for Analytical Chemistry, Empa, Dübendorf, Switzerland; Institute of Environmental Engineering (IfU), ETH Zürich, Zürich, Switzerland; Institute for Atmospheric and Climate Science (IAC), ETH Zürich, Zürich, Switzerland; Center of Excellence for Aerospace Particulate Emissions Reduction Research, Missouri S and T, Rolla, MO, United States; Swiss Federal Office of Civil Aviation (FOCA), Bern, Switzerland; Measurement Science and Standards, National Research Council (NRC), Ottawa, Canada
Recommended Citation:
Durdina L,, Brem B,T,et al. Determination of PM mass emissions from an aircraft turbine engine using particle effective density[J]. Atmospheric Environment,2014-01-01,99