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Vessel Energy Fuel Efficiency

Big data and machine learning for navigation in ship networks

April 2020

Vessel Energy Fuel Efficiency

Big data and machine learning for navigation in ship networks

  • World Alliance Member
  • Featured Solution
  • Labelled Solution
Label Date April 28, 2020
By Wooboat
From Switzerland
Maturity stage TRL 9 / CRI 2 - Commercial Trial Small Scale

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).

The Environmental Benefits

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

The Financial Benefits

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

Target client profile

Activity Region

  • Headquarters
  • Activity

Company Profile

Wooboat

Provides nautical solutions to enhance vessel usage, reduce fuel consumption and protect of sea life.

Headquarters 1205 Geneva, Switzerland
Type Company
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The information set out above, is solely for the purposes of information and the Solar Impulse Foundation does not provide any guarantee as to its authenticity, completeness or accuracy. This information does not constitute investment advice or a recommendation to buy into, transact or to enter into any agreement with any of the parties or persons mentioned above. Potential investors or interested parties are solely responsible for their investment or business decisions and for performing any due diligence required by the circumstances. The innovator Wooboat has asserted ownership of the intellectual property rights for images, videos, and content showcased above, affirming full and unrestricted usage rights, and has provided explicit permission for the Solar Impulse Foundation to publish such information designated as "public" in the application form.