Enabling Sustainable Aviation Through Advanced Data Analytics & AI

This talk showcases the state-of-art in digital twin performance modelling and flight planning towards performance-emission-climate impact optimized operations. Specifically, physics-informed deep learning based aircraft performance modelling techniques are introduced to design high precision aircraft models.These models not only enable optimal fuel loading, but also allow the operators to utilize wind-optimized trajectories while reducing emissions and potential climate impact. As such, the newly developed tracking-information based business analytics allow the operators to benchmark their performance to other operators in terms of origin-destination pairs across numerous metrics such as fuel usage, operation costs and climate impact. Using such benchmarks, the aircraft operations can be further optimized to achieve the desired balance towards cost and emissions. The presented technologies and their effectiveness are demonstrated with data from real-world operations.