SITA OptiClimb®, a digital inflight prescriptive analytics tool for fuel optimization, has been selected by Singapore Airlines to support the carrier’s goal of achieving net-zero carbon emissions by 2050.
By deploying SITA OptiClimb®, the airline is able to optimize fuel utilization during the aircraft’s climb-out phase. The unique solution combines aircraft tail-specific machine-learning models with 4D weather forecasts to recommend customized climb speeds at different altitudes. It leverages historical flight data to predict fuel burn in different flight scenarios and recommends optimized climb profiles on a user-friendly interface for pilots.
It is estimated that airlines can derive fuel savings of up to 5% during climb-out on each flight, with around 5.6 million tons of carbon dioxide emissions avoided annually if every airline worldwide uses SITA OptiClimb®.
Following a successful test period and validation of SITA OptiClimb® outcomes, the tool…
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