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Annex 5<br />

Details for Section 1.5.2:<br />

bottom-up inventory uncertainty<br />

analysis<br />

Sources of uncertainty in the Second IMO GHG Study 2009<br />

In the Second IMO GHG Study 2009, the method relied upon weighted average values for each ship/size<br />

category. As such, much of the uncertainty in that study was related to aleatory uncertainty. This limited the<br />

ability of that work to quantitatively characterize uncertainty, although some key aleatory uncertainties could<br />

be characterized with distributions around computed average values.<br />

The Second IMO GHG Study 2009 relied upon a set of independent estimates to define a confidence range<br />

on the central estimate for fleetwide fuel use and emissions. It also discussed uncertainties in calculating<br />

total emissions (Second IMO GHG Study 2009, Table 3.1). It reported that a dominant source of uncertainty<br />

included assumptions about average main operating days, and that a secondary source of uncertainty was<br />

average main engine load. Both of these were applied in common to all ships in a type and size category.<br />

The study reported that better AIS collection and better quality control on AIS-reported speed were needed<br />

to reduce uncertainty. Lastly, the Second IMO GHG Study 2009 reported a number of uncertainties with<br />

auxiliary engine calculations.<br />

Overview of sources of uncertainty in current work<br />

Figure 26 illustrates where potential uncertainty is introduced into the bottom-up model for this update. Table<br />

17 (adapted from Jalkanen et al., 2013) identifies examples of uncertainties and relates these to explicit QA/<br />

QC efforts that reduce uncertainty.

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