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Aviation and the Global Atmosphere

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<strong>Aviation</strong> <strong>and</strong> <strong>the</strong> <strong>Global</strong> <strong>Atmosphere</strong><br />

much lower level. Both are products of incomplete combustion; thus, <strong>the</strong>y are controlled by <strong>the</strong> same mechanism.<br />

Despite <strong>the</strong> intrinsic complexity of <strong>the</strong> chemical processes associated with soot production, a semi-empirical correlation between calculated <strong>and</strong> measured SN has<br />

been developed with a 40% st<strong>and</strong>ard deviation (De Champlain et al., 1997). By also considering reaction kinetics, Döpelheuer (1997) developed a correlation method<br />

based mainly on <strong>the</strong> concentration of carbon <strong>and</strong> oxygen in <strong>the</strong> combustion zone. The concentration of soot is considered to be proportional to <strong>the</strong> equivalence ratio, to<br />

pressure at <strong>the</strong> combustor inlet (both with exponents to be determined), <strong>and</strong> to an exponential function controlling <strong>the</strong> reaction rate. To apply <strong>the</strong> method as a<br />

reference type of correlation, soot density as a function of measured SN (Finch <strong>and</strong> Eyl, 1976; Whyte, 1982; Champagne, 1988; Hurley, 1993) has been approximated<br />

as a first step. Up to a 20% deviation exists between different correlations of soot loading <strong>and</strong> SN.<br />

Because of <strong>the</strong> limitations of <strong>the</strong> st<strong>and</strong>ard measuring method for SN (i.e., by collecting soot on a white filter paper <strong>and</strong> evaluating reflected light intensity) (ICAO, 1993),<br />

only <strong>the</strong> major particles of soot are measured; <strong>the</strong> remaining wide spectrum of very small particles are not measured (see Section 7.5.3).<br />

7.7.2.2. Simplified Alternate Correlation Methods<br />

The methods described above to correlate engine emissions for different operating conditions all require engine internal gas path data. Such data are normally<br />

sensitive from an engine manufacturer's point of view. Alternate correlation methods that do not expose proprietary or sensitive engine data have <strong>the</strong>refore been<br />

sought. These methods are based mainly on emission correlation with <strong>the</strong> fuel flow of an engine. Thus, SLS engine test data from certification testing, toge<strong>the</strong>r with<br />

relevant methods of correlating emissions with engine performance in flight, is favored as one of <strong>the</strong> principal sources for <strong>the</strong> development of aircraft emission<br />

inventories. These methods are designed to use unrestricted data from <strong>the</strong> ICAO engine emission databank coupled with fuel flow data, which can easily be acquired<br />

from aircraft missions.<br />

Table 7-9: Comparison of relevant properties of ICAO fuel for emissions testing <strong>and</strong> commercial jet fuels.<br />

Property ICAO<br />

ASTM D 1655<br />

Jet A/Jet A-1<br />

Allowable Range of Values<br />

DEF STAN 91-91<br />

Jet A-1<br />

Density (kg m -3 ) at 15°C 780-820 775-840 775-840 99.9<br />

10% boiling point<br />

Final boiling point<br />

155-201<br />

235-285<br />

a 205<br />

b 300<br />

a 205<br />

b 300<br />

Net heat of combustion (MJ kg -1 ) 42.86-43.50 b 42.8 b 42.8 100<br />

Aromatics (vol %) 15-23 a 25 a 22a 99<br />

Naphthalenes (vol %) 1.0-3.5 (< 3.0)b (< 3.0)b 98.5<br />

Smoke point (mm) 20-28 b 25b b 25b 99.3<br />

http://www.ipcc.ch/ipccreports/sres/aviation/108.htm (2 von 5)08.05.2008 02:43:44<br />

% UK Fuels<br />

Meeting ICAO (1997)<br />

100<br />

99

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