Aviation emission has always been regarded as the major contributor to climate and atmosphere changes. The recent research suggested that flights can be re-routed from sufficiently cold and humid atmospheres to mitigate the level of contrail production in particular regions during the flight planning stage. To address the needs, a weather data-driven flight path planning is proposed in this work. The spatial meteorological condition is generated using historical data and formulated as uncertain factors to develop a robust solution. Airlines can determine their allowance of flight level changes, pre-determined constrained flight levels set and robustness towards the maximum tolerance level of uncertain contrail length of a flight path. The overall cost can be further minimised, with a lowered total contrail length with the least increases in fuel consumption cost. The suggested methods validate the possibility of emission-aware adjustable robust flight path planning and ensure sustainable air transport operations.
- adjustable robust optimisation
- aviation emission control
- contrail length
- decomposition framework
- Emission-aware flight path planning
ASJC Scopus subject areas
- Modelling and Simulation