Evaluada

Green Navigation

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'Team points' are awarded according to the adequacy of the solution with the type of innovations sought by Team for the Planet. They correspond to the analysis of several factors :

  • impact potential: impact average score > 4 => 0,5 point / if > 4,15 => 1 point.
  • global consistency: all average score of the 6 selection criteria > 2,5 => 1 point.
  • the favourite: % of assessments judge the innovation as a top one to act on a global scale against greenhouse gases > 20% => 1 point
  • the targeting: validation of Team for the Planet scope of action higher than 90% => 0,5 point + innovation level of maturity is enough => 0,5 point
  • social acceptability: semantic analysis score of comments > 0 => 0,5 point/ if > 3500 => 1 point
56 evaluaciones

Sujetas a evaluaciones : Después de comprobar que la innovación está dentro del ámbito de los objetivos de las 20 problemas de Team for the Planet y que ha alcanzado una madurez suficiente, se está evaluando la innovación.

The eco-friendly Google Maps for the sea.

Lever of action
Energy efficiency
Sector
Transport
Discover our scope of action arrow_forward
Submission date 9 de junio de 2023 Founders Daniel Precioso Development location Madrid, España

Detailed project

NB: this form is filled entirely by the ones submitting the innovation.

What is the issue addressed?

The shipping industry emits 900 million tons of CO2 each year. There is research ongoing on alternatives to fossil fuels to achieve zero emissions (green hydrogen, sails), but it will take a huge monetary investment and time to update the whole merchant fleet.

How is the problem solved?

Green Navigation is a weather routing system that reduces fuel consumption up to 8% each trip. The solution has barely no cost to implement, as the weather data is already available. It only requires a computer on board, so Green Navigation can start reducing emissions right now.

What is the customer target?

Our target is the shipping industry, particularly the cargo ships. Green Navigation can be applied to any other kind of vessel too, reduces any type of fuel (even green alternatives) and can be adapted to optimize sail usage.

How is this solution different?

Our main feature is that we will take into account the uncertainty related to the weather prediction, to make more robust routes. We also plan on installing sensors on board that can give us performance monitoring and crowdsourcing.