In the framework of the future Master Plan of Oslo Airport one important issue are the de-icing operations. Due to the climate conditions at OSL de-icing operations play an important role on many days of the year. To guarantee a defined quality of the de-icing operations therefore is of major relevance for the overall operational quality of the airport.
In order to provide a general capacity analysis and quality assessment for the future planning, a CAST Aircraft simulation study focusing on the de-icing operations has been made. Starting with a baseline model approved by OSL-experts several future scenarios have been simulated and evaluated. The powerful and flexible traffic management and control functionalities of CAST allowed a detailed and correct simulation of the processes at OSL. Especially the de-icing areas have been modelled thoroughly, considering the wing-span dependent de-icing pad usage and the stochastic de-icing durations. Moreover, snow removal periods on the runways and multiple departure queuing lanes have been simulated in depth.
The comprehensive modelling of the processes lead to a full understanding of the interdependencies between the de-icing processes, the runway snow removal and the runway throughput. As a result, different Key Performance Indicators (KPI) to assess the particular processes but also the overall operational quality have been determined. Besides these detailed quantitative results the visualisation has been highly appreciated as it supported the understanding of the processes interdependencies and interpretation of the results.
The results and conclusions derived from the project will be used as an important baseline for the forthcoming decision making process within the frame of the further future expansion planning.