CEAS EuroGNC 2022
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Robust Climate Optimal Aircraft Trajectory Planning Considering Uncertainty in Weather Forecast
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| Abolfazl Simorgh |
Department of Aerospace Engineering, Universidad Carlos III de Madrid. Avenida de la Universidad, 30, Leganes, 28911 Madrid, Spain. | | Manuel Soler |
Department of Aerospace Engineering, Universidad Carlos III de Madrid. Avenida de la Universidad, 30, Leganes, 28911 Madrid, Spain. | | Daniel González-Arribas |
Department of Aerospace Engineering, Universidad Carlos III de Madrid. Avenida de la Universidad, 30, Leganes, 28911 Madrid, Spain. |
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| Abstract:
The air traffic management system is to deal with efficiency, safety, capacity, and environmental impacts due to the strong growth rate of air traffic over the recent years. Aviation contributes to climate change through the emission of carbon dioxides (CO2) and aviation non-CO2 effects, and the corresponding climate impact is anticipated to increase critically. As the non-CO2 climate effects are highly dependent on the chemical and meteorological background conditions, there is a potential to reduce their associated climate impacts by planning climate-aware trajectories. To identify the non-CO2 climate-sensitive regions, in this study, algorithmic climate change functions requiring some weather-related variables to quantify the climate impacts are employed. The uncertainty in the standard weather forecast can cause unreliable determination of climate-sensitive regions and aircraft dynamics and, consequently, unreliable trajectories. To this end, the ensemble prediction system is employed to characterize the uncertainty in the weather forecast. Then, robust aircraft trajectory optimization problem is formulated, capable of providing robust climate optimal trajectories taking into account uncertainty in meteorological variables. The optimization is solved for different sets of user-defined parameters, penalizing the simple operating cost and climate impact.
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| Keywords: Climate change; Aircraft trajectory optimization; Algorithmic climate change functions; Robust optimization. |
 View PDF CEAS-GNC-2022-043 |
| Abolfazl Simorgh, Manuel Soler, Daniel González-Arribas: Robust Climate Optimal Aircraft Trajectory Planning Considering Uncertainty in Weather Forecast. Proceedings of the 2022 CEAS EuroGNC conference. Berlin, Germany. May 2022. CEAS-GNC-2022-043.
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| BibTeX entry:
@Incollection{CEAS-GNC-2022-043,
authors = {Simorgh, Abolfazl and Soler, Manuel and González-Arribas, Daniel},
title = {Robust Climate Optimal Aircraft Trajectory Planning Considering Uncertainty in Weather Forecast},
booktitle = {Proceedings of the 2022 {CEAS EuroGNC} conference},
address = {Berlin, Germany},
month = may,
year = {2022},
note = {CEAS-GNC-2022-043}
}
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