World News
AI-Designed Vessel Concept Cuts Fuel Use by 11%
Ship design technology firm Compute Maritime has unveiled an AI-designed crew transfer vessel concept that could cut fuel consumption by 11.1% and reduce annual CO2 emissions by 258.7 tonnes.
The 32.5 m twin-hull vessel concept was developed under the GenDSOM project using Compute Maritime's NeuralShipper artificial intelligence platform to optimise the hull form, Compute Maritime said in a statement on its website on Wednesday.
According to the company, performance modelling showed the design could save 101,671 litres of fuel per year compared with a conventional diesel-powered vessel operating the same offshore wind duty cycle.
The vessel concept, designed by BYD Naval Architects and intended to carry 24 offshore wind technicians and four crew, combines the AI-optimised hull with a diesel-electric hybrid propulsion system developed with Siemens.
Compute Maritime said the optimised design reduces power requirements by 6.3% at the vessel's 25-knot service speed and delivers an 8.9% reduction in annual CO2 emissions.
The GenDSOM project was funded by the UK Government through the UK Shipping Office for Reducing Emissions (UK SHORE) programme.
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| VLSFO | MGO | |||
|---|---|---|---|---|
| $/mt | +/- | $/mt | +/- | |
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| Fujairah | 981.00 | 12.00 | 1768.50 | 17.50 |
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| Global Average Bunker Price | 978.50 | 20.00 | 1616.50 | 18.50 |
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