Leveraging AIS Data for Maritime Fleet Analysis and Alternative Fuel Assessment
Nov. 12 2025To evaluate the feasibility of alternative marine fuels (e.g., green methanol) for national or regional shipping fleets by analyzing ship movements, categorizing fleet operations, and estimating emissions and fuel demand based on real-world activity data.
Actors
- Maritime Regulators
- Environmental Agencies
- Port Authorities
- Fuel Suppliers and Engine Manufacturers
- Shipping Companies
- Data Scientists and Analysts
Data Inputs
- AIS (Automatic Identification System) data: Real-time or historical ship movement data, including MMSI, location, speed, heading, and timestamps.
- Ship specifications: Engine types, fuel consumption rates, vessel type/class, size, etc.
- Geospatial boundaries: National waters, Exclusive Economic Zones (EEZ), inland waterways, and coastal zones.
- Emission factors and fuel properties: For conventional and alternative fuels (e.g., diesel vs. methanol).
Process Overview
Data Collection and Cleansing
Geospatial Filtering
Fleet Characterization
Emission and Energy Modeling
Gap and Impact Analysis
Outcomes
- Clear categorization of the active fleet based on real operational behavior.
- Estimated fuel demand and emission profiles under current and alternative fuel scenarios.
- Strategic insights into infrastructure needs, regulatory focus areas, and investment opportunities.
- Foundations for policy development and industry engagement in maritime decarbonization.
Extensions
- Incorporate real-time AIS for monitoring emissions.
- Extend to global fleet benchmarking.
- Model hybrid fuel transition scenarios (e.g., methanol/diesel blends).
- Use for port-level planning of green fuel supply infrastructure.