In an attempt to reduce fuel burn and emissions released at climb, Viva Aerobus of Mexico has implemented a predictive eco-flying “OptiClimb” solution.
As of Jan.1 this year, Viva Aerobus started using machine learning performance models to recommend customized climb speeds to its pilots for each flight to significantly reduce fuel burn and emissions.
“Viva Aerobus is fully committed to a Green Future, through innovation and the latest technology available. We were pleasantly surprised to experience how Safety Line was able to deploy such advanced predictive technology in such a simple, straightforward and user-friendly manner, allowing pilots to save fuel and reduce emissions at the beginning of every flight.” – Viva Aerobus Head of Operations Management, Humberto Flores, said.
By embarking on the use of OptiClimb, Mexico’s ultra-low-cost carrier will be able to save about 70kg of fuel for each climb on average, which could represent a fleetwide carbon footprint reduction of at least 14,000 tons of CO2 per year.
“We were lucky to be able to launch a full-scale trial of almost 4000 flights with Viva Aerobus before the pandemic eventually reached Mexico. Thanks to great project management and pilot commitment, application rates were as high as 83%, maximizing the savings achievable with OptiClimb.” – said Safety Line Founder & CEO, Pierre Jouniaux.
This step does not only offset the carbon emissions and fuel burn of Viva Aerobus’ flights, but it also reduces its costs for the benefit of its customers by further decreasing these emissions at the source.
Climb-out is the most complicated time of a flight (the first 20-30 minutes of flight) as many parameters changing at the same time as the aircraft ascends, yet, it is during this phase where there is the highest potential to save fuel. The solution implemented by Viva Aerobus addresses this complexity and predicts fuel burn in different scenarios to recommend optimal climb speeds to pilots for each flight, taking into account individual aircraft performance and accurate 4D weather forecasts.
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