Abstract: Flight delays and deicing equipment parameter optimization questions were studied aiming at two kinds of typical airport. The formation mechanism of deicing flight delay queue was studied, and the flight delay queue model was proposed corresponding to the departure dynamics of triangle and parabolic shape function. An optimization model of deicing nozzle quantity demand for two typical flight departure dynamics was established aiming at minimizing the flight delay and deicing cost. The nozzle quantity demand optimization model was simulated and verified using deicing flight dynamic data of Beijing International Airport and Harbin Taiping Airport. Simulation results are close to actual data, and the error is less than 8.1%. It shows the accuracy of the models, which provides a reference for the optimization of the aircraft deicing nozzle.

Key words: flight deicing delay, aircraft deicing on ground, deicing equipment, parameter optimization, minimum delay cost