BlueNose
Project Overview
Challenges
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About
The fuel consumed by container ships is costly and represents 1% of all global Co2 emissions BlueNose uses machine-learning and the principles of fluid dynamics to increase aerodynamics. With its algorithm, aerodynamic shapes can be constructed to be implemented on already built container ships, without modifying their original design. This can reduce fuel consumption of container ships by 3 to 5 %, lowering costs and potentially saving up to 8 million tons of CO2 annually.
Team
Prof. Elie Hachem
Université PSL (Paris Sciences & Lettres)
Pr. Elie Hachem is a full professor at Mines Paris - PSL and the head of the Computing and Fluids research group. As of 2020 Pr. Elie Hachem was awarded the prestigious IACM ( International Association for Computational Mechanics) fellow award. He also received one of 2022’s Consolidator Grant from the ERC (European Research Council).
Joë Sangar
Université PSL (Paris Sciences & Lettres)
Joë is an engineer, he followed his academic curriculum at PSL University and Ecole Centrale de Nantes where he acquired knowledge in AI, Fluid dynamics and Energy. At heart Joë is an innovator and has been pationated by the sea since a very young age. Faced with the perils of climate change he felt compelled to act. Today, he combines all those elements into BlueNose, a project that vows to improve the aerodynamics of containerships in order to reduce their fuel consumption.
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