Research On The Optimization Of Parking Gate Pre-allocation Based On The Analysis Of The Emission Characteristics Of The Civil Aviation Engine LTO Cycle Stage

Civil aviation industry is in a stage of rapid development in China.The vigorous development of the civil aviation industry has led to the continuous growth of aviation emissions,and the pressure on the atmospheric environment is increasing.Aeroengines,as mobile emission sources,not only cause concentrated pollution to the airport space area environment,but also along the route.The network has an impact on the global environment,and indirectly has a negative impact on the health of passengers,airport staff and surrounding residents.Therefore,the calculation and characteristic analysis of various air pollutant emissions from airport civil aviation engines,and then propose corresponding emission reduction optimization strategies,can provide theoretical basis and technical support for building modern green civil aviation and winning the blue-sky defense war.Based on a comprehensive summary of the composition and generation mechanism of air pollutants emitted by civil aviation engines,this paper revises the calculation model of air pollutant emissions from aviation engines based on airport activity levels,meteorological data,and actual flight data,and calculate the engine emissions of NO_x,CO,SO₂,HC and PM on the LTO cycle of the aircraft during the four seasons of the2020～2021 flight season at Zhengzhou Xinzheng International Airport.The results showed that the emissions of NO_x,CO,SO₂,HC and PM were 322.8t,264.8t,26.1t,15.7t and 6.3t.In general,the air pollutant emissions of aircraft engines are positively correlated with the number of LTO cycles and time,as well as parameters such as the emission factor coefficients of different types of engines.Based on the analysis and research on the characteristics of the emission accounting results,focus on the analysis of the core key factors that affect the emissions of aero-engines at each stage of LTO,select the engine emissions during the taxiing phase with a large optimization space for emission reduction optimization research,and build a multi-runway hybrid with the shortest taxi time in the field and the highest utilization rate of bridge seats as the objective function.A multi-objective optimization model for parking bay pre-allocation in the take-off and landing operation mode,and a number of current air traffic management rules as constraints,are designed and solved by genetic algorithm and particle swarm algorithm.Through actual verification,the average reduction of the total emission of various pollutants in the taxiing phase based on the optimization of the two algorithms was about 17.3%and 20.4%.The two algorithms have good convergence and feasibility for the multi-objective optimization problem of parking bay allocation,verifying the rationality of the model,achieving the basic goal of optimizing emission reduction,and achieving reasonable allocation of limited parking bay resources to the greatest extent and maximize the efficiency of runway utilization.