Cost-benefit assessment of climate and weather optimized trajectories for different North Atlantic weather patterns

Besides CO2, the climate impact of commercial aviation is strongly influenced by non-CO2 effects, which are highly sensitive to meteorological conditions and their spatial variations. To assess the cost-benefit potential (climate impact mitigation vs. cost increase) of climate and weather optimized...

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Main Authors: Lührs, Benjamin, Niklaß, Malte, Frömming, Christine, Grewe, Volker, Gollnick, Volker
Format: Conference Object
Language:English
Published: 2018
Subjects:
Online Access:http://hdl.handle.net/11420/2662
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spelling fttuhamburg:oai:tore.tuhh.de:11420/2662 2023-08-20T04:08:14+02:00 Cost-benefit assessment of climate and weather optimized trajectories for different North Atlantic weather patterns Lührs, Benjamin Niklaß, Malte Frömming, Christine Grewe, Volker Gollnick, Volker 2018 http://hdl.handle.net/11420/2662 en eng 31st Congress of the International Council of the Aeronautical Sciences, ICAS 2018 978-393218288-4 Congress of the International Council of the Aeronautical Sciences (ICAS 2018) http://hdl.handle.net/11420/2662 2-s2.0-85058044409 Conference Paper Other 2018 fttuhamburg 2023-07-28T09:21:59Z Besides CO2, the climate impact of commercial aviation is strongly influenced by non-CO2 effects, which are highly sensitive to meteorological conditions and their spatial variations. To assess the cost-benefit potential (climate impact mitigation vs. cost increase) of climate and weather optimized flight trajectories in the North Atlantic flight corridor, optimal control techniques are applied. However, the execution of multi-criteria route optimizations for an intercontinental route network and various weather patterns is computationally highly intensive. Since computational resources are limited, a reduced surrogate route network is generated and evaluated first with regard to the computational effort, the coverage in terms of available seat kilometers, as well as the accuracy of reproducing the original route network with regard to climate impact. The proposed reduced route network consists of 40 routes (original network: 1,359) and is able to reproduce the climate impact of the original route network with reasonable climate impact deviations of 2.5%. The evaluation of climate and weather optimized trajectories is performed for the top route of the surrogate network. The maximum climate impact reduction potential is differing strongly from 9% up to 60% for varying North Atlantic weather patterns. Averaged over the weather patterns, a maximum climate impact mitigation potential of about 32%, going along with a cost increase of about 8% has been estimated. However, at a cost penalty of 1%, a potential climate impact reduction of 24% has been observed. Conference Object North Atlantic TUHH Open Research (TORE - Technische Universität Hamburg)
institution Open Polar
collection TUHH Open Research (TORE - Technische Universität Hamburg)
op_collection_id fttuhamburg
language English
description Besides CO2, the climate impact of commercial aviation is strongly influenced by non-CO2 effects, which are highly sensitive to meteorological conditions and their spatial variations. To assess the cost-benefit potential (climate impact mitigation vs. cost increase) of climate and weather optimized flight trajectories in the North Atlantic flight corridor, optimal control techniques are applied. However, the execution of multi-criteria route optimizations for an intercontinental route network and various weather patterns is computationally highly intensive. Since computational resources are limited, a reduced surrogate route network is generated and evaluated first with regard to the computational effort, the coverage in terms of available seat kilometers, as well as the accuracy of reproducing the original route network with regard to climate impact. The proposed reduced route network consists of 40 routes (original network: 1,359) and is able to reproduce the climate impact of the original route network with reasonable climate impact deviations of 2.5%. The evaluation of climate and weather optimized trajectories is performed for the top route of the surrogate network. The maximum climate impact reduction potential is differing strongly from 9% up to 60% for varying North Atlantic weather patterns. Averaged over the weather patterns, a maximum climate impact mitigation potential of about 32%, going along with a cost increase of about 8% has been estimated. However, at a cost penalty of 1%, a potential climate impact reduction of 24% has been observed.
format Conference Object
author Lührs, Benjamin
Niklaß, Malte
Frömming, Christine
Grewe, Volker
Gollnick, Volker
spellingShingle Lührs, Benjamin
Niklaß, Malte
Frömming, Christine
Grewe, Volker
Gollnick, Volker
Cost-benefit assessment of climate and weather optimized trajectories for different North Atlantic weather patterns
author_facet Lührs, Benjamin
Niklaß, Malte
Frömming, Christine
Grewe, Volker
Gollnick, Volker
author_sort Lührs, Benjamin
title Cost-benefit assessment of climate and weather optimized trajectories for different North Atlantic weather patterns
title_short Cost-benefit assessment of climate and weather optimized trajectories for different North Atlantic weather patterns
title_full Cost-benefit assessment of climate and weather optimized trajectories for different North Atlantic weather patterns
title_fullStr Cost-benefit assessment of climate and weather optimized trajectories for different North Atlantic weather patterns
title_full_unstemmed Cost-benefit assessment of climate and weather optimized trajectories for different North Atlantic weather patterns
title_sort cost-benefit assessment of climate and weather optimized trajectories for different north atlantic weather patterns
publishDate 2018
url http://hdl.handle.net/11420/2662
genre North Atlantic
genre_facet North Atlantic
op_relation 31st Congress of the International Council of the Aeronautical Sciences, ICAS 2018
978-393218288-4
Congress of the International Council of the Aeronautical Sciences (ICAS 2018)
http://hdl.handle.net/11420/2662
2-s2.0-85058044409
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