Uncertainty in aviation emissions inventories: Sources and improvements

Master Thesis (2022)
Author(s)

H.W.S. Aldridge (TU Delft - Aerospace Engineering)

Contributor(s)

Irene C. Dedoussi – Mentor (TU Delft - Aircraft Noise and Climate Effects)

M. Snellen – Graduation committee member (TU Delft - Aircraft Noise and Climate Effects)

R. Vos – Graduation committee member (TU Delft - Flight Performance and Propulsion)

Faculty
Aerospace Engineering
Copyright
© 2022 Harry Aldridge
More Info
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Publication Year
2022
Language
English
Copyright
© 2022 Harry Aldridge
Graduation Date
11-04-2022
Awarding Institution
Delft University of Technology
Programme
Aerospace Engineering
Faculty
Aerospace Engineering
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Abstract

The approach to sustainable aviation requires effective policy and regulation, informed by accurate environmental research. Aviation emissions inventories form the basis of any environmental assessment, however they are based on simplifications and assumptions that introduce a degree of uncertainty. In terms of robust model development, it is necessary to identify significant sources of uncertainty to determine priorities for improvement.

The results of a global sensitivity analysis identifies 5 key contributors to uncertainty across fuelburn and emissions estimates: BADA Drag and Fuel Flow corrective multipliers, Takeoff Weight, Taxi Thrust and Arrival Inefficiency. Across the emitted species, uncertainty is driven by their respective EI.

EUROCONTROL flight track data allows for an analysis of lateral inefficiencies, and improved distribution fitting. The resulting distributions are more representative of actual flight behavior. The introduction of these improved distributions into the original model result in an overall reduction in fuelburn and emissions estimates.

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