Airport CDM Processes for Adverse Conditions

Airport CDM Processes for Adverse Conditions
ANNEX III REMOTE DE-ICING SEQUENCE PLANNING
A. Introduction
This annex aims to describe parameters and optimisation scenarios for remote de-icing
sequence planning on an Airport CDM enabled airport. These scenarios propose a
transparent process which can be used as a stand alone automated enabler, or integrated
into pre-departure sequence planning. In the last section, three planning processes are
described based on operational bottlenecks of the airport, and the optimisation that needs to
be implemented to maximise throughput of these blocking points. Once activated, aircraft deicing
will seriously impact on airport operations and frustrate the throughput and planning
processes.
B. Justification
Robust and reliable automated planning of remote aircraft de-icing operations is currently the
missing link in many outbound planning processes, or automated planning support tools.
Complexity and unpredictability of de-icing operations often make it a reactive process which
can seriously challenge traffic management and thereby results in reduced capacity and
throughput.
With Airport CDM implemented at an airport, the remote de-icing planning process should
increase predictability (compared to the current situation), due to the presence and reliability
of the Target Start-up Time, Variable Taxi Time, and improved and timely knowledge of
available capacity and airport resources.
Although many factors and uncertainties of taxi and de-icing times increase the complexity of
the planning process, a transparent process can still be determined based on accurate
assessment of the airport bottlenecks and the impact on the planning priority on the blocking
point throughput.
C. Factors complicating Planning Processes
There are a number of primary factors which can make accurate predictions of remote deicing
operations more complex:
1. Taxiway Layout – distance and taxiway route to/from the de-icing platform
2. Capacity of the de-icing platforms, aircraft throughput
3. Airport blocking points: Gates, Aprons, Taxiways, Runways, or De-icing platform
4. Number of De-icing companies
5. Availability of resources
6. Duration of de-icing times for each aircraft
7. Human factor and uncertainty
8. Weather (humidity, precipitation, temperature, etc)
9. De-icing product hold-over times
Secondary factors influencing duration of de-icing operations and remaining taxi time to the
runway:
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