French multi-energy company TotalEnergies is rolling out advanced route optimisation technologies across its shipping operations to reduce fuel consumption and emissions. The company is partnering with maritime software provider Lloyd’s Register OneOcean (LR OneOcean), which uses machine learning for fuel modelling and hull analysis. The system claims to process both high-frequency vessel data and noon […]
French multi-energy company TotalEnergies is rolling out advanced route optimisation technologies across its shipping operations to reduce fuel consumption and emissions.
The company is partnering with maritime software provider Lloyd’s Register OneOcean (LR OneOcean), which uses machine learning for fuel modelling and hull analysis.
The system claims to process both high-frequency vessel data and noon reports – daily logs recording fuel consumption, speed, position, and weather conditions – to generate accurate models of fuel consumption.
These models are used alongside LR OneOcean’s ‘Vessel Operation team’ to simulate and enhance fuel efficiency for each individual voyage.
The resulting insights are designed to support more efficient operational decision-making, with the aim of achieving fuel savings and emissions reductions across the fleet, according to TotalEnergies.
According to TotalEnergies, initial results from a trial conducted before full adoption indicate savings of 725 metric tonnes of fuel and 2,256 metric tonnes of CO2 emissions to date.
“This technology, combined with 24/7 advisory support, immediately and sustainably reduces fuel consumption and emissions, minimising the environmental footprint of our shipping activities,” said Sebastien Roche, general manager of shipping performance and innovation at TotalEnergies.
Jeff Mattick, customer success director at LR OneOcean, added that the company is “looking forward to optimising commercial outcomes, improving reliability, and reducing emissions with our advanced technology.”
Shipping firms are increasingly anchoring on digital optimisation tools to reduce both carbon emissions and operational costs.
Last year, French shipping and logistics group CMA CGM partnered with Google to accelerate the rollout of AI solutions across its operations, aiming to enhance efficiency and streamline inventory management.
The UK government has also been investing in artificial intelligence for maritime use cases, with a focus on boosting environmental performance. Meanwhile, Spar supermarkets has previously employed digital technologies to help decarbonise its transport networks.
