The growth experienced by the air transport at a global level in recent years has been translated finally into an increase in the emissions of atmospheric polluting agents, which conflicts with the requirement of reducing the global level of emissions. Moreover the biggest problem of flighting aircraft are the dangerous metereologic conditions. For the previous motivations it has been useful to develop a trajectory optimizer, for weather avoidance and emission reduction, based on operational research algorithms, subject of this thesis. In particular, in this thesis is proposed a method to optimize aircraft trajectory for weather avoidance and emission reduction based on Dijkstra algorithm. To better understand the contest, several fields have been taken into account and described here. First of all in this thesis is provided a description of the meteorological models used in aeronautical field and a definition of the dangerous weather condition that can affect the flight. Then an overview of the algorithms for trajectory optimization is provided to have a reference of the methodologies used to solve the same problem that we are considering. Later a description of our trajectory optimization approach and the models used to implement it are provided with some application results. In the following paragraph a method to improve and speed up the trajectory optimization generation is proposed and some results are provided. The proposed approach provide a methodology to optimize trajectory in terms of weather avoidance and emission reduction and provide a solution in a fast and accurate way. Such a problem depends of atmospheric conditions (humidity, pressure, temperature, wind, clouds,…) and on the airspace in which it is possible to flight that is discretized in a grid of feasible trajectories for a certain aircraft. In fact, in order to compute aircraft emissions, it is required the atmospheric distribution, in altitude, of the following meteorological data: density of air, pressure, temperature, relative humidity, wind intensity, speed and direction, and clouds reflectivity. These data, except density of the air, are available through numerical weather models that several weather organizations in the world develop for analysis of current situations and forecasts.

Aircraft trajectory optimization for weather avoidance and emission reduction applications / Serafino, Gabriella. - (2017 May 26).

Aircraft trajectory optimization for weather avoidance and emission reduction applications

SERAFINO, GABRIELLA
2017-05-26

Abstract

The growth experienced by the air transport at a global level in recent years has been translated finally into an increase in the emissions of atmospheric polluting agents, which conflicts with the requirement of reducing the global level of emissions. Moreover the biggest problem of flighting aircraft are the dangerous metereologic conditions. For the previous motivations it has been useful to develop a trajectory optimizer, for weather avoidance and emission reduction, based on operational research algorithms, subject of this thesis. In particular, in this thesis is proposed a method to optimize aircraft trajectory for weather avoidance and emission reduction based on Dijkstra algorithm. To better understand the contest, several fields have been taken into account and described here. First of all in this thesis is provided a description of the meteorological models used in aeronautical field and a definition of the dangerous weather condition that can affect the flight. Then an overview of the algorithms for trajectory optimization is provided to have a reference of the methodologies used to solve the same problem that we are considering. Later a description of our trajectory optimization approach and the models used to implement it are provided with some application results. In the following paragraph a method to improve and speed up the trajectory optimization generation is proposed and some results are provided. The proposed approach provide a methodology to optimize trajectory in terms of weather avoidance and emission reduction and provide a solution in a fast and accurate way. Such a problem depends of atmospheric conditions (humidity, pressure, temperature, wind, clouds,…) and on the airspace in which it is possible to flight that is discretized in a grid of feasible trajectories for a certain aircraft. In fact, in order to compute aircraft emissions, it is required the atmospheric distribution, in altitude, of the following meteorological data: density of air, pressure, temperature, relative humidity, wind intensity, speed and direction, and clouds reflectivity. These data, except density of the air, are available through numerical weather models that several weather organizations in the world develop for analysis of current situations and forecasts.
26-mag-2017
UKOVICH, WALTER
NOLICH, MASSIMILIANO
28
2014/2015
Settore ING-INF/04 - Automatica
Università degli Studi di Trieste
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11368/2908157
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