Vessel Energy Fuel Efficiency

Gallery Vessel Energy Fuel Efficiency 1
Gallery Vessel Energy Fuel Efficiency 1
April 2020
By Wooboat
Headquarters 1205 Geneva, Switzerland
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Vessel Energy Fuel Efficiency - The data gathered from embedded sensor is analysed with machine learning to reduce the EEOI (Energy Efficiency Operational Indicator) and CO2 emissions.

The Vessel Solution is mainly focused on reducing fuel consumption, and therefore, cutting emissions and increasing profit, by using data recorded during navigation. It has three interconnected lines of work: 1) performance efficiency; 2) anomaly detection; 3) routing strategies.

Wooboat is working to apply Big Data and Machine Learning techniques to data generated by the Ship Networks System. They use recorded data to train machine learning algorithms to improve the performance of existing models. With the creation of the patterns, they can make predict models of routes, consumption, pollution and form of navigation of those responsible for the vessels. These will allow them to improve the management of routes, maintenance, consumption, CO2 and Human Health Risk Resources (HHRR).

Key features

  • A min 5% of CO2 (and other polluting gases) reduction due to less fuel consumption.

Profitability

  • The client's savings are up to 7-8 % of fuel consumption and cost.

Company Profile

Maturity Stage

  • Medium and large scale commercialization
  • Small scale commercialization
  • Initial market commercialization
  • Prototype testing in the real world
  • Prototype testing 1:1 in the lab

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