Smart Shipping: Marine Shipping Route Optimization using Weather Data

D. Precioso, D. Gómez-Ullate Oteiza, J. Jiménez de la Jara, F. Amor Roldán, V. Gallego Alcalá, A. Torres Barrán, M. Navarro García

Fuel costs are estimated to be 50-60% of the whole operating costs for marine transportation, amounting to an annual expense of 105 billion EUR. Marine transport is also responsible for 3% of the global CO2 emissions and 11% of the global SO2 emissions. Knowledge of the major sea currents is used in marine transportation, but the availability of accurate data allows for a much better optimization of each specific route, potentially leading to considerable savings with a large economic and environmental impact. Smart Shipping aims to build a complete software tool able to compute in real time the optimal route and expected fuel consumption for a specific vessel operating a route between two harbors and taking into account the oceanographic and meteorological conditions of the moment. In this talk we will discuss several optimization algorithms that can be used for weather routing, and some preliminary results.

Keywords: Data Science, Oceanography, Operations Research, Optimization, Weather Routing

Scheduled

RSME-SEIO Invited Session. Mathematical research applied to the sustainability of the fishing industry and maritime transport
June 8, 2022  4:00 PM
A11

Other papers in the same session

Tun-AI: What can Machine Learning tell about tuna aggregation dynamics?

M. Navarro García, D. Precioso, K. Gavira O’Neill, A. Torres Barrán, D. Gordo, V. Gallego, D. Gómez-Ullate Oteiza

Fishing route optimization to enhance the economic and environmental sustainability

I. Granado, L. Hernando, J. A. Fernandes

A parallel iterative method for navigation problems

D. Martín de Diego, S. Ferraro, R. T. Sato Martin de Almagro

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