How airports use Aerdrya in practice
Every airport has different priorities, but many operational challenges are surprisingly similar: data exists, yet it is spread across systems, difficult to compare or still requires a lot of manual work.
These examples show how airports are already using Aerdrya to turn existing data into clearer decisions, lower effort and measurable operational value.
Automating annual Scope 1 emissions monitoring
One of our airport customers previously spent significant time consolidating energy and operational data for annual Scope 1 reporting.
With Aerdrya, the relevant data sources were connected and brought into one consistent monitoring view. Instead of rebuilding the emissions calculation manually every year, the airport can now track its Scope 1 emissions on an ongoing basis.
What changed:
The reporting process became significantly more efficient, internal transparency improved and the airport reduced its dependency on external consulting support for recurring emissions calculations.
Finding the real cause behind historic delays
At another airport, historic delay data showed which flights departed late, but it was often difficult to determine whether a delay had actually been caused locally or had already been imported from a previous rotation.
Aerdrya combined historic flight and operational data to reconstruct the delay history and assess where the delay originated.
What changed:
The airport gained a much clearer basis for discussing individual delays internally and with partners. Instead of relying only on aggregated delay codes, teams could support their assessment with operational data.
Making avoidable APU usage visible
For one airport, APU usage had been discussed mainly from an emissions perspective. The challenge was to understand when aircraft were actually running their APU unnecessarily despite alternative ground power being available.
Aerdrya combined aircraft movements, stand activity and available ground power data to identify relevant usage patterns.
What changed:
The airport gained a clearer view of avoidable APU runtime and could focus improvement measures on specific stands, aircraft movements and operational situations instead of relying on assumptions.
Improving charging decisions for electric ground fleets
As electric ground fleets grew, one airport faced a familiar question: when should vehicles be charged without affecting operational readiness or creating unnecessary energy costs?
Aerdrya brought together vehicle status, charging information and available energy data to create a clearer view of charging demand.
What changed:
The airport gained better visibility into vehicle readiness and charging windows and could plan charging more efficiently around operational demand.
Making the real cost of a turnaround visible
At one airport, turnaround performance had mainly been discussed in terms of time and delays. What was missing was a clear view of the actual cost behind individual turnarounds.
Aerdrya combined operational, equipment, delay and cost data to compare turnaround performance from a financial as well as an operational perspective.
What changed:
The airport could identify costly outliers, understand the main cost drivers and focus improvement measures on the turnarounds with the highest operational and financial impact.