Multi-Objective and Multi-Phase 4D Trajectory Optimization for Climate Mitigation-Oriented Flight Planning
Aviation contribution to global warming and anthropogenic climate change is increasing every year. To reverse this trend, it is crucial to identify greener alternatives to current aviation technologies and paradigms. Research in aircraft operations can provide a swift response to new environmental r...
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2021-12-01
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| Series: | Aerospace |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2226-4310/8/12/395 |
| _version_ | 1797507069513826304 |
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| author | Alessio Vitali Manuela Battipede Angelo Lerro |
| author_facet | Alessio Vitali Manuela Battipede Angelo Lerro |
| author_sort | Alessio Vitali |
| collection | DOAJ |
| description | Aviation contribution to global warming and anthropogenic climate change is increasing every year. To reverse this trend, it is crucial to identify greener alternatives to current aviation technologies and paradigms. Research in aircraft operations can provide a swift response to new environmental requirements, being easier to exploit on current fleets. This paper presents the development of a multi-objective and multi-phase 4D trajectory optimization tool to be integrated within a Flight Management System of a commercial aircraft capable of performing 4D trajectory tracking in a Free Route Airspace context. The optimization algorithm is based on a Chebyshev pseudospectral method, adapted to perform a multi-objective optimization with the two objectives being the Direct Operating Cost and the climate cost of a climb-cruise-descent trajectory. The climate cost function applies the Global Warming Potential metric to derive a comprehensive cost index that includes the climate forcing produced by CO<sub>2</sub> and non-CO<sub>2</sub> emissions, and by the formation of aircraft-induced clouds. The output of the optimization tool is a set of Pareto-optimal 4D trajectories among which the aircraft operator can choose the best solution that satisfies both its economic and environmental goals. |
| first_indexed | 2024-03-10T04:41:25Z |
| format | Article |
| id | doaj.art-4d83fcc9970e4851876f98ca234df86a |
| institution | Directory Open Access Journal |
| issn | 2226-4310 |
| language | English |
| last_indexed | 2024-03-10T04:41:25Z |
| publishDate | 2021-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Aerospace |
| spelling | doaj.art-4d83fcc9970e4851876f98ca234df86a2023-11-23T03:18:23ZengMDPI AGAerospace2226-43102021-12-0181239510.3390/aerospace8120395Multi-Objective and Multi-Phase 4D Trajectory Optimization for Climate Mitigation-Oriented Flight PlanningAlessio Vitali0Manuela Battipede1Angelo Lerro2Department of Mechanical and Aerospace Engineering, Politecnico di Torino, Corso Duca degli Abruzzi 24, 10129 Torino, ItalyDepartment of Mechanical and Aerospace Engineering, Politecnico di Torino, Corso Duca degli Abruzzi 24, 10129 Torino, ItalyDepartment of Mechanical and Aerospace Engineering, Politecnico di Torino, Corso Duca degli Abruzzi 24, 10129 Torino, ItalyAviation contribution to global warming and anthropogenic climate change is increasing every year. To reverse this trend, it is crucial to identify greener alternatives to current aviation technologies and paradigms. Research in aircraft operations can provide a swift response to new environmental requirements, being easier to exploit on current fleets. This paper presents the development of a multi-objective and multi-phase 4D trajectory optimization tool to be integrated within a Flight Management System of a commercial aircraft capable of performing 4D trajectory tracking in a Free Route Airspace context. The optimization algorithm is based on a Chebyshev pseudospectral method, adapted to perform a multi-objective optimization with the two objectives being the Direct Operating Cost and the climate cost of a climb-cruise-descent trajectory. The climate cost function applies the Global Warming Potential metric to derive a comprehensive cost index that includes the climate forcing produced by CO<sub>2</sub> and non-CO<sub>2</sub> emissions, and by the formation of aircraft-induced clouds. The output of the optimization tool is a set of Pareto-optimal 4D trajectories among which the aircraft operator can choose the best solution that satisfies both its economic and environmental goals.https://www.mdpi.com/2226-4310/8/12/3954D trajectory optimizationmulti-objective optimizationmulti-phase optimizationfree route airspaceaviation emissionsclimate mitigation |
| spellingShingle | Alessio Vitali Manuela Battipede Angelo Lerro Multi-Objective and Multi-Phase 4D Trajectory Optimization for Climate Mitigation-Oriented Flight Planning Aerospace 4D trajectory optimization multi-objective optimization multi-phase optimization free route airspace aviation emissions climate mitigation |
| title | Multi-Objective and Multi-Phase 4D Trajectory Optimization for Climate Mitigation-Oriented Flight Planning |
| title_full | Multi-Objective and Multi-Phase 4D Trajectory Optimization for Climate Mitigation-Oriented Flight Planning |
| title_fullStr | Multi-Objective and Multi-Phase 4D Trajectory Optimization for Climate Mitigation-Oriented Flight Planning |
| title_full_unstemmed | Multi-Objective and Multi-Phase 4D Trajectory Optimization for Climate Mitigation-Oriented Flight Planning |
| title_short | Multi-Objective and Multi-Phase 4D Trajectory Optimization for Climate Mitigation-Oriented Flight Planning |
| title_sort | multi objective and multi phase 4d trajectory optimization for climate mitigation oriented flight planning |
| topic | 4D trajectory optimization multi-objective optimization multi-phase optimization free route airspace aviation emissions climate mitigation |
| url | https://www.mdpi.com/2226-4310/8/12/395 |
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