Virtual Fuel Flow Meter – Better fleet performance with ZERO hardware investments

45min+15min Q&A

Use the power of artificial intelligence to upgrade your fleet performance management.

New opportunities to enable real-time awareness of your fleet energy consumption and downsize of the crew overreporting


In traditional vessel performance modeling techniques, vessel data is collected through interfacing an on-board PC with the vessel automation and navigation systems, and custom sensors. Such integration provides access to high-frequency measurements of various quantities, like propulsion power, fuel mass flow, and speed through water (STW), directly applicable to vessel performance monitoring.

Wärtsilä Voyage explores how data can be processed by the on-board computer in real-time and turned into intelligent money-saving operational decisions.

Our speakers will share a proof-of-concept study with analysis and examples showing how easily modern machine learning-based approach overcomes problems, such as crew overreporting weather conditions and other inaccuracies, characteristic to a traditional fully noon-report reliant approach. 

  • Discover how the new method of measuring fuel consumption helps shipping companies to upgrade fleet performance management
  • Learn how modern machine learning algorithms enable continuous vessels’ fuel flow estimates
  • Understand how our fuel flow model increases the granularity of the collected data without excess reporting burden
  • Learn how to apply the up-to-date solution onboard of your fleet with the minimum investment involved

Our presenters

Daniel Schmöde
Head of Solution Advisory, FOS, Wärtsilä Voyage
Carlos Losada
Solutions Manager, Wärtsilä Voyage
Matti Antola
Lead Data Scientist, Wärtsilä Voyage

Related solutions


Related content

12 pages

The future of shipping

How to enable just-in-time arrivals and eliminate wasteful practises in shipping operations? Digital technology, connectivity...