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Route Optimization

  • 31 Kalvebod Brygge 1560 Denmark (map)

Determining the optimal voyage from A to B is not a trivial task when the voyage is influenced by varying wind, wave and current conditions and varying ship performance.

During the last couple of years state-of-the-art for route optimization has been pushed forward by including very advanced features in the route planning systems like e.g. adaptive self-tuning ship performance models (based on Digital Twins, AI and Machine Learning concepts), and rational handling and communication of uncertainties on weather forecasts.

A small network group under the Transport Innovation Network has worked together to stimulate mutual inspiration to further optimise route planning. Insights and results from this work will be presented during this event.

Program

  • 16:30 - 16:35
    Welcome by John Koch Nielsen, Transport Innovation Network

  • 16:35 - 17:00
    Route optimization – challenges and opportunities.
    by Søren Hattel, FORCE Technology

  • 17:00 – 17:25
    Sensor data at sea - freeing the binary commodity
    by Rune Jørgensen Daae, DFDS
    Big Data and data strategies in DFDS

  • 17.25 - 17:50
    Machine Learning for Marine Performance Optimization
    by Daniel Jacobsen, GreenSteam

  • 17:50 - 18:20
    Refreshments

  • 18:20 - 18:50
    Global biological fouling processes and satellite enhanced current data for digital twins
    by Morten Rugbjerg, DHI and Jacob Tornfeldt Sørensen, DHI

  • 18:50 – 19:15
    Rational handling and communication of weather uncertainties
    by Carsten Kofoed, VENTO Maritime
    Evaluating weather forecast uncertainties for optimal voyage planning

  • 19:15 – 19:35
    Route Optimization and user interaction by Christian Råe Holm, COACH Solutions
    Context of use, user interfaces and use of decision support for route planning onboard

  • 19:35 – 19:55
    Route Optimization and potential savings by Martin Hjorth Simonsen, Optimum Voyage
    Potential savings and challenges in relation to typical charter parties

Earlier Event: October 31
Maritime Disruptors Academy