Transactions of Nanjing University of Aeronautics & Astronautics
Green Aircraft Taxiing Strategy Based on Multi-scenario Joint Optimization
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Abstract:
The issue of green aircraft taxiing under various taxi scenarios is studied to improve the efficiency of aircraft surface operations and reduce environmental pollution around the airport from aircraft emissions. A green aircraft taxi programming model based on multi-scenario joint optimization is built according to airport surface network topology modeling by analyzing the characteristics of aircraft operations under three different taxiing scenarios: all-engine taxi, single-engine taxi, and electronic taxi. A genetic algorithm is also used in the model to minimize fuel consumption and pollutant emissions. The Shanghai Pudong International Airport is selected as a typical example to conduct a verification analysis. Compared with actual operational data, the amount of aircraft fuel consumption and gas emissions after optimization are reduced significantly through applying the model. Under an electronic taxiing scenario, fuel consumption can be lowered by 45.3%, and hydrocarbon (HC) and carbon dioxide (CO) emissions are decreased by 80%. The results show that a green aircraft taxiing strategy that integrates taxiway optimization and electronic taxiing can effectively improve the efficiency of airport operations and reduce aircraft pollution levels in an airport′s peripheral environment.
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