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Climate assessment of single flights: Deduction of route specific equivalent CO2 emissions.

Authors :
Dahlmann, K.
Grewe, V.
Matthes, S.
Yamashita, H.
Source :
International Journal of Sustainable Transportation; 2023, Vol. 17 Issue 1, p29-40, 12p, 1 Chart, 8 Graphs, 1 Map
Publication Year :
2023

Abstract

Climate impact of anthropogenic activities is more and more of public concern. But while CO<subscript>2</subscript> emissions are accounted in emissions trading and mitigation plans, emissions of non-CO<subscript>2</subscript> components contributing to climate change receive much less attention. One of the anthropogenic emission sectors, where non-CO<subscript>2</subscript> effects play an important part, is aviation. Hence, for a quantitative estimate of total aviation climate impact, assessments need to comprise both CO<subscript>2</subscript> and non-CO<subscript>2</subscript> effects (e.g., water vapor, nitrogen dioxide, and contrails), instead of calculating and providing only CO<subscript>2</subscript> impacts. However, while a calculation of CO<subscript>2</subscript> effects relies directly on fuel consumption, for non-CO<subscript>2</subscript> effects detailed information on aircraft trajectory, engine emissions, and ambient atmospheric conditions are required. As often such comprehensive information is not available for all aircraft movements, a simplified calculation method is required to calculate non-CO<subscript>2</subscript> impacts. In our study, we introduce a simple calculation method which allows quantifying climate assessment relying on mission parameters, involving distance and geographic flight region. We present a systematic analysis of simulated climate impact from more than 1000 city pairs with an Airbus A330-200 aircraft depending on the flight distance and flight region to derive simplified but still realistic representation of the non-CO<subscript>2</subscript> climate effects. These new formulas much better represent the climate impact of non-CO2 effects compared to a constant CO<subscript>2</subscript> multiplier. The mean square error decrease from 1.18 for a constant factor down to 0.24 for distance dependent factors and can be reduced even further to 0.19 for a distance and latitude dependent factor. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
15568318
Volume :
17
Issue :
1
Database :
Complementary Index
Journal :
International Journal of Sustainable Transportation
Publication Type :
Academic Journal
Accession number :
161113188
Full Text :
https://doi.org/10.1080/15568318.2021.1979136