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New Delhi: AI has been used by airlines worldwide to enhance their flight efficiency and sustainability. One of the new technologies that is being considered is OptiClimb, an AI-based solution developed by aviation technology firm, SITA. The system is meant to optimize one of the most fuel-inefficient aspects of an aircraft flight, the climb, immediately after take-off.
A very brief period of the flight, known as the climb, occurs once the aircraft is off the runway and is moving upward. During this time, engines will run at full power, and this can be one of the highest contributors to fuel usage. As per the general conception of pilots, standard incline procedures are adopted for aircraft in accordance with the general guidelines regarding the performance of aircraft. The disadvantages of these set procedures are that they may not always be the most efficient due to weather conditions, weight of the aircraft on the flight, etc., which may differ from flight to flight.
The AI-based system applies machine learning methods for analyzing the overall performance of individual aircraft. OptiClimb does not use a standard model for the whole fleet; it inventories historical flight data from onboard recorders to achieve world-first, one-of-a-kind performance profiles for each aircraft. This enables the system to learn the characteristics of a particular aircraft in certain situations.
OptiClimb also integrates other data with actual and projected weather information. This takes into account the speed of the wind, the outside temperature, and other surrounding weather conditions and calculates how and at what speed the plane climbs in the most economical way. Consequently, the system recommends specific speed settings to pilots prior to take-off based on analysis of this.
OptiClimb allows for an individual speed schedule for each flight, as opposed to the traditional fixed-speed climb procedures. Recommendations automatically update when the weather turns out differently before leaving for the trip, if necessary, to be efficient. Results may be startling! Airlines that are operating an OptiClimb can reduce their fuel consumption by anywhere between 50 and 100 kilograms (55 to 110 pounds) per climb for a single flight, SITA said. This is approximately 3% – 10% in fuel savings on that trip. These might seem like tiny sur-charges per flight, but are quite significant when multiplied by hundreds of flights a year or thousands over a period of years.
Some big airlines like Singapore Airlines, Air India, and AeroLogic are already utilizing this technology. These types of carriers have been able to report major steps towards reducing their carbon footprint by cutting their fuel consumption. In a few instances, reductions of thousands of tons of carbon dioxide emissions have been achieved per year.
The profit margins are no less desirable, either. An efficiently run airline will see significant revenue benefits when calculating costs in relation to fuel, as this is one of the largest expenses for airlines. The estimates are that an airline with a fleet of about 20 aircraft might save about $1 million per year after undergoing the system.
OptiClimb is even making a step toward meeting the sustainability objectives of the aviation industry due to cost savings. As governments and regulators mandate greener movement, airlines are being called on more than ever to reduce their environmental footprint. Technologies that enhance operational efficiency are regarded as amongst the fastest to diminish emissions with only minor developments in the design of aircraft. AI-driven technologies, such as OptiClimb, could be vital in the future of aviation, experts believe. Every flight can be optimized in order to reduce fuel consumption, operating costs, and carbon footprint. The aviation industry strives to become more sustainable, and smart technologies, like OptiClimb, exemplify how artificial intelligence can help to make the industry cleaner and more efficient.
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