Pilot Assistance Systems for Energy-Optimized Approaches: Is It Possible to Reduce Fuel Consumption and Noise at the Same Time?

• Published in: Aerospace 2024-06, Vol.11 (6), p.450
• Main Authors: Wunderli, Jean Marc, Meister, Jonas, Boyer, Johan, Gerber, Ma, Bauer, Tobias, Abdelmoula, Fethi
• Format: Article
• Language: English
• Subjects: Air traffic control; Aircraft; aircraft configuration; aircraft noise; Airframes; Airports; Altitude; Augmentation systems; Aviation; Driving ability; Emissions; Energy consumption; Energy management; Energy management systems; Energy use; Engines; Environmental impact; Flight management systems; flight procedures; Flight time; Fuel consumption; Gaseous emissions; Idling; Impact analysis; Low noise; Noise; Noise control; Optimization; pilot assistance system; Pilots; R&D; Real time; Research & development; Research projects; Simulation methods
• ISSN: 2226-4310; 2226-4310
• DOI: 10.3390/aerospace11060450

Air traffic has appreciable environmental impacts, especially regarding gaseous emissions and noise. Recent studies have shown that the energy management during approach is a driving factor regarding environmental impact and is especially challenging for pilots. In a previous project, a newly developed pilot assistance system called LNAS (Low Noise Augmentation System) showed the potential of energy-optimized approaches to reduce fuel consumption and noise. Within the SESAR Exploratory Research project DYNCAT, novel functions based on LNAS have been integrated in the flight management system. In this contribution, results from real-time simulations with the enhanced FMS are presented, and mitigation of the environmental impact is analyzed. It was shown that with DYNCAT, the energy management could be improved, resulting in a later configuration and engines mostly in idle. With DYNCAT, procedures were also flown more uniformly and the variability in noise and fuel outcomes was reduced. However, the results revealed a trade-off for optimizing noise and fuel consumption simultaneously, whereby both parameters can be improved along specific optimum curves. A perfect strategy to minimize noise would be to first reduce speed and only secondly height, as high speeds lead to higher levels of airframe noise and sound exposure increases with decreasing distance. In contrast, saving fuel might be achieved by reducing the flight time, as the engines consume fuel even when being in idle.