AI for Airport Ground Support Equipment Electrification & Optimization

AI Orchestrates Electrified GSE Dispatch & Charging

Artificial intelligence orchestrates the dispatch of electrified ground support equipment (GSE) and charging schedules to meet turnaround Service Level Agreements (SLAs) with reduced emissions and lower costs.

Airports are transitioning to electric GSE to reduce their carbon footprint, but this presents challenges like limited charger capacity and tight SLA requirements. AI dynamically schedules equipment usage, plans charging cycles, and intelligently reallocates assets during disruptions to maintain on-time gate operations and optimize Total Cost of Ownership (TCO).

Peak Shaving & Time-of-Use Charging

AI systems can implement peak shaving strategies by adjusting charging schedules based on electricity tariffs – shifting energy consumption to off-peak hours.

This allows for time-of-use (TOU)-aware charging, maximizing the benefits of lower-cost electricity and further reducing operational expenses while ensuring battery health.

Data Integration: GSE Telematics & Charger Data

The system leverages telematics data from GSE – tracking location, usage patterns, and maintenance needs – alongside real-time charger status.

This integrated view of operations provides valuable insights for optimizing equipment allocation, predicting potential issues, and proactively scheduling maintenance to minimize downtime.

Frequently asked questions