Analysis of aircraft routing strategies for north atlantic flights by using airtraf 2.0

Climate-optimized routing is an operational measure to effectively reduce the climate impact of aviation with a slight increase in aircraft operating costs. This study examined variations in the flight characteristics among five aircraft routing strategies and discusses several characteristics of th...

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Published in:Aerospace
Main Authors: Yamashita, Hiroshi (author), Yin, F. (author), Grewe, V. (author), Jöckel, Patrick (author), Matthes, Sigrun (author), Kern, Bastian (author), Dahlmann, Katrin (author), Frömming, Christine (author)
Format: Article in Journal/Newspaper
Language:English
Published: 2021
Subjects:
Online Access:http://resolver.tudelft.nl/uuid:a5c5d632-54b7-4dc3-ae27-54d8122693a8
https://doi.org/10.3390/aerospace8020033
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author Yamashita, Hiroshi (author)
Yin, F. (author)
Grewe, V. (author)
Jöckel, Patrick (author)
Matthes, Sigrun (author)
Kern, Bastian (author)
Dahlmann, Katrin (author)
Frömming, Christine (author)
author_facet Yamashita, Hiroshi (author)
Yin, F. (author)
Grewe, V. (author)
Jöckel, Patrick (author)
Matthes, Sigrun (author)
Kern, Bastian (author)
Dahlmann, Katrin (author)
Frömming, Christine (author)
author_sort Yamashita, Hiroshi (author)
collection Delft University of Technology: Institutional Repository
container_issue 2
container_start_page 33
container_title Aerospace
container_volume 8
description Climate-optimized routing is an operational measure to effectively reduce the climate impact of aviation with a slight increase in aircraft operating costs. This study examined variations in the flight characteristics among five aircraft routing strategies and discusses several characteristics of those routing strategies concerning typical weather conditions over the North Atlantic. The daily variability in the North Atlantic weather patterns was analyzed by using the European Center Hamburg general circulation model (ECHAM) and the Modular Earth Submodel System (MESSy) Atmospheric Chemistry (EMAC) model in the specified dynamics mode from December 2008 to August 2018. All days of the ten complete winters and summers in the simulations were classified into five weather types for winter and into three types for summer. The obtained frequency for each of the weather types was in good agreement with the literature data; and then representative days for each weather type were selected. Moreover, a total of 103 North Atlantic flights of an Airbus A330 aircraft were simulated with five aircraft routing strategies for each representative day by using the EMAC model with the air traffic simulation submodel AirTraf. For every weather type, climate-optimized routing shows the lowest climate impact, at which a trade-off exists between the operating costs and the climate impact. Cost-optimized routing lies between the time-and fuel-optimized routings and achieves the lowest operating costs by taking the best compromise between flight time and fuel use. The aircraft routing for contrail avoidance shows the second lowest climate impact; however, this routing causes extra operating costs. Our methodology could be extended to statistical analysis based on long-term simulations to clarify the relationship between the aircraft routing characteristics and weather conditions. Aircraft Noise and Climate Effects
format Article in Journal/Newspaper
genre North Atlantic
genre_facet North Atlantic
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op_rights © 2021 Hiroshi Yamashita, F. Yin, V. Grewe, Patrick Jöckel, Sigrun Matthes, Bastian Kern, Katrin Dahlmann, Christine Frömming
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spelling fttudelft:oai:tudelft.nl:uuid:a5c5d632-54b7-4dc3-ae27-54d8122693a8 2025-01-16T23:32:47+00:00 Analysis of aircraft routing strategies for north atlantic flights by using airtraf 2.0 Yamashita, Hiroshi (author) Yin, F. (author) Grewe, V. (author) Jöckel, Patrick (author) Matthes, Sigrun (author) Kern, Bastian (author) Dahlmann, Katrin (author) Frömming, Christine (author) 2021 http://resolver.tudelft.nl/uuid:a5c5d632-54b7-4dc3-ae27-54d8122693a8 https://doi.org/10.3390/aerospace8020033 en eng http://www.scopus.com/inward/record.url?scp=85100072636&partnerID=8YFLogxK Aerospace--2226-4310--098c216f-9158-4b61-bb99-8669758314ff http://resolver.tudelft.nl/uuid:a5c5d632-54b7-4dc3-ae27-54d8122693a8 https://doi.org/10.3390/aerospace8020033 © 2021 Hiroshi Yamashita, F. Yin, V. Grewe, Patrick Jöckel, Sigrun Matthes, Bastian Kern, Katrin Dahlmann, Christine Frömming Air traffic management Climate impact mitigation Climateoptimized routing Contrail avoidance Flight trajectory optimization North Atlantic weather patterns journal article 2021 fttudelft https://doi.org/10.3390/aerospace8020033 2024-03-27T15:01:08Z Climate-optimized routing is an operational measure to effectively reduce the climate impact of aviation with a slight increase in aircraft operating costs. This study examined variations in the flight characteristics among five aircraft routing strategies and discusses several characteristics of those routing strategies concerning typical weather conditions over the North Atlantic. The daily variability in the North Atlantic weather patterns was analyzed by using the European Center Hamburg general circulation model (ECHAM) and the Modular Earth Submodel System (MESSy) Atmospheric Chemistry (EMAC) model in the specified dynamics mode from December 2008 to August 2018. All days of the ten complete winters and summers in the simulations were classified into five weather types for winter and into three types for summer. The obtained frequency for each of the weather types was in good agreement with the literature data; and then representative days for each weather type were selected. Moreover, a total of 103 North Atlantic flights of an Airbus A330 aircraft were simulated with five aircraft routing strategies for each representative day by using the EMAC model with the air traffic simulation submodel AirTraf. For every weather type, climate-optimized routing shows the lowest climate impact, at which a trade-off exists between the operating costs and the climate impact. Cost-optimized routing lies between the time-and fuel-optimized routings and achieves the lowest operating costs by taking the best compromise between flight time and fuel use. The aircraft routing for contrail avoidance shows the second lowest climate impact; however, this routing causes extra operating costs. Our methodology could be extended to statistical analysis based on long-term simulations to clarify the relationship between the aircraft routing characteristics and weather conditions. Aircraft Noise and Climate Effects Article in Journal/Newspaper North Atlantic Delft University of Technology: Institutional Repository Aerospace 8 2 33
spellingShingle Air traffic management
Climate impact mitigation
Climateoptimized routing
Contrail avoidance
Flight trajectory optimization
North Atlantic weather patterns
Yamashita, Hiroshi (author)
Yin, F. (author)
Grewe, V. (author)
Jöckel, Patrick (author)
Matthes, Sigrun (author)
Kern, Bastian (author)
Dahlmann, Katrin (author)
Frömming, Christine (author)
Analysis of aircraft routing strategies for north atlantic flights by using airtraf 2.0
title Analysis of aircraft routing strategies for north atlantic flights by using airtraf 2.0
title_full Analysis of aircraft routing strategies for north atlantic flights by using airtraf 2.0
title_fullStr Analysis of aircraft routing strategies for north atlantic flights by using airtraf 2.0
title_full_unstemmed Analysis of aircraft routing strategies for north atlantic flights by using airtraf 2.0
title_short Analysis of aircraft routing strategies for north atlantic flights by using airtraf 2.0
title_sort analysis of aircraft routing strategies for north atlantic flights by using airtraf 2.0
topic Air traffic management
Climate impact mitigation
Climateoptimized routing
Contrail avoidance
Flight trajectory optimization
North Atlantic weather patterns
topic_facet Air traffic management
Climate impact mitigation
Climateoptimized routing
Contrail avoidance
Flight trajectory optimization
North Atlantic weather patterns
url http://resolver.tudelft.nl/uuid:a5c5d632-54b7-4dc3-ae27-54d8122693a8
https://doi.org/10.3390/aerospace8020033