Trajectory Optimisation to Minimise the Combined Radiative Forcing Impacts of Contrails andCO2
Article Swipe
Yixiang Lim
,
Alessandro Gardi
,
Roberto Sabatini
,
Trevor Kistan
·
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1002/9781118932599.ch20
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1002/9781118932599.ch20
Multi-objective trajectory optimisation (MOTO) is part of an initiative to modernise air traffic management (ATM). The successful implementation of MOTO in next-generation avionics and ATM systems takes into account various objectives, such as fuel consumption, flight time, pollutant emissions, and the associated radiative impact of such pollutants and contrails. This chapter presents the mathematical models for integrating radiative forcing (RF) of contrails and of carbon dioxide (CO 2 ) into a MOTO software algorithm. In particular, these models were used to define cost functions in a MOTO case study accounting for an international flight from Paris to Beijing. The case study involves optimal trajectories that minimise the RF of flight trajectories. The results of this study demonstrate the feasibility of MOTO in generating RF-minimal trajectories with respect to contrails and CO 2 , and show that not all contrail-persistent regions should be avoided.
Related Topics
Concepts
Radiative forcing
Trajectory
Forcing (mathematics)
Radiative transfer
Environmental science
Air traffic management
Meteorology
Aviation
Computer science
Software
Fuel efficiency
Air traffic control
Atmospheric sciences
Aerospace engineering
Engineering
Aerosol
Physics
Astronomy
Quantum mechanics
Programming language
Metadata
- Type
- other
- Language
- en
- Landing Page
- https://doi.org/10.1002/9781118932599.ch20
- https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/9781118932599.ch20
- OA Status
- gold
- References
- 8
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4386761858
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4386761858Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1002/9781118932599.ch20Digital Object Identifier
- Title
-
Trajectory Optimisation to Minimise the Combined Radiative Forcing Impacts of Contrails and
CO2 Work title - Type
-
otherOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2023Year of publication
- Publication date
-
2023-09-15Full publication date if available
- Authors
-
Yixiang Lim, Alessandro Gardi, Roberto Sabatini, Trevor KistanList of authors in order
- Landing page
-
https://doi.org/10.1002/9781118932599.ch20Publisher landing page
- PDF URL
-
https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/9781118932599.ch20Direct link to full text PDF
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YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
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https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/9781118932599.ch20Direct OA link when available
- Concepts
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Radiative forcing, Trajectory, Forcing (mathematics), Radiative transfer, Environmental science, Air traffic management, Meteorology, Aviation, Computer science, Software, Fuel efficiency, Air traffic control, Atmospheric sciences, Aerospace engineering, Engineering, Aerosol, Physics, Astronomy, Quantum mechanics, Programming languageTop concepts (fields/topics) attached by OpenAlex
- Cited by
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0Total citation count in OpenAlex
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8Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.in | 20, 84, 121 |
| abstract_inverted_index.is | 4 |
| abstract_inverted_index.of | 6, 18, 44, 60, 63, 108, 113, 119 |
| abstract_inverted_index.to | 9, 80, 96, 127 |
| abstract_inverted_index.(CO | 66 |
| abstract_inverted_index.ATM | 24 |
| abstract_inverted_index.The | 15, 98, 111 |
| abstract_inverted_index.air | 11 |
| abstract_inverted_index.all | 137 |
| abstract_inverted_index.and | 23, 39, 47, 62, 129, 133 |
| abstract_inverted_index.for | 55, 90 |
| abstract_inverted_index.not | 136 |
| abstract_inverted_index.the | 40, 52, 106, 117 |
| abstract_inverted_index.(RF) | 59 |
| abstract_inverted_index.MOTO | 19, 71, 86, 120 |
| abstract_inverted_index.This | 49 |
| abstract_inverted_index.case | 87, 99 |
| abstract_inverted_index.cost | 82 |
| abstract_inverted_index.from | 94 |
| abstract_inverted_index.fuel | 33 |
| abstract_inverted_index.into | 27, 69 |
| abstract_inverted_index.part | 5 |
| abstract_inverted_index.show | 134 |
| abstract_inverted_index.such | 31, 45 |
| abstract_inverted_index.that | 104, 135 |
| abstract_inverted_index.this | 114 |
| abstract_inverted_index.used | 79 |
| abstract_inverted_index.were | 78 |
| abstract_inverted_index.with | 125 |
| abstract_inverted_index.Paris | 95 |
| abstract_inverted_index.study | 88, 100, 115 |
| abstract_inverted_index.takes | 26 |
| abstract_inverted_index.these | 76 |
| abstract_inverted_index.time, | 36 |
| abstract_inverted_index.(ATM). | 14 |
| abstract_inverted_index.(MOTO) | 3 |
| abstract_inverted_index.carbon | 64 |
| abstract_inverted_index.define | 81 |
| abstract_inverted_index.flight | 35, 93, 109 |
| abstract_inverted_index.impact | 43 |
| abstract_inverted_index.models | 54, 77 |
| abstract_inverted_index.should | 140 |
| abstract_inverted_index.account | 28 |
| abstract_inverted_index.chapter | 50 |
| abstract_inverted_index.dioxide | 65 |
| abstract_inverted_index.forcing | 58 |
| abstract_inverted_index.optimal | 102 |
| abstract_inverted_index.regions | 139 |
| abstract_inverted_index.respect | 126 |
| abstract_inverted_index.results | 112 |
| abstract_inverted_index.systems | 25 |
| abstract_inverted_index.traffic | 12 |
| abstract_inverted_index.various | 29 |
| abstract_inverted_index.Beijing. | 97 |
| abstract_inverted_index.avionics | 22 |
| abstract_inverted_index.avoided. | 142 |
| abstract_inverted_index.involves | 101 |
| abstract_inverted_index.minimise | 105 |
| abstract_inverted_index.presents | 51 |
| abstract_inverted_index.software | 72 |
| abstract_inverted_index.contrails | 61, 128 |
| abstract_inverted_index.functions | 83 |
| abstract_inverted_index.modernise | 10 |
| abstract_inverted_index.pollutant | 37 |
| abstract_inverted_index.radiative | 42, 57 |
| abstract_inverted_index.RF-minimal | 123 |
| abstract_inverted_index.accounting | 89 |
| abstract_inverted_index.algorithm. | 73 |
| abstract_inverted_index.associated | 41 |
| abstract_inverted_index.contrails. | 48 |
| abstract_inverted_index.emissions, | 38 |
| abstract_inverted_index.generating | 122 |
| abstract_inverted_index.initiative | 8 |
| abstract_inverted_index.management | 13 |
| abstract_inverted_index.pollutants | 46 |
| abstract_inverted_index.successful | 16 |
| abstract_inverted_index.trajectory | 1 |
| abstract_inverted_index.demonstrate | 116 |
| abstract_inverted_index.feasibility | 118 |
| abstract_inverted_index.integrating | 56 |
| abstract_inverted_index.objectives, | 30 |
| abstract_inverted_index.particular, | 75 |
| abstract_inverted_index.consumption, | 34 |
| abstract_inverted_index.mathematical | 53 |
| abstract_inverted_index.optimisation | 2 |
| abstract_inverted_index.trajectories | 103, 124 |
| abstract_inverted_index.international | 92 |
| abstract_inverted_index.trajectories. | 110 |
| abstract_inverted_index.implementation | 17 |
| abstract_inverted_index.Multi-objective | 0 |
| abstract_inverted_index.next-generation | 21 |
| abstract_inverted_index.contrail-persistent | 138 |
| cited_by_percentile_year | |
| countries_distinct_count | 3 |
| institutions_distinct_count | 4 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/7 |
| sustainable_development_goals[0].score | 0.6399999856948853 |
| sustainable_development_goals[0].display_name | Affordable and clean energy |
| citation_normalized_percentile |