Navitools: Predicting ship performance using advanced modelling
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activity:
maritime
expertise:
Computer science
Optimizing the energy performance of ships is a major challenge for the decarbonization of maritime transport. Our solution NaviTools integrates advanced AI and simulation models, to predict the performance of ships under realistic navigation conditions from the design stage, and thus help with architecture and sizing.
CONTEXT
The operational efficiency of a ship depends on many factors: changing weather conditions, state of the sea, sea condition, cargo carried, route taken, management of equipment on board, human constraints (or human factor)... All these elements influence energy consumption and emissions.
Thanks to our expertise in numerical intelligence and modeling, we have developed NaviTools using a generic method of high-precision predictive modeling taking into account these aspects. This makes it possible to simulate and optimize the energy behavior of the ship, from the pre-project phase, by quantifying and qualifying various design configurations.
NAVITOOLS : a bespoke solution for each maritime player
Our solution is adapted to each maritime player. Thanks to a personalized platform, it supports you in the optimized design of your vessels.
Our approach is based on advanced modeling, integrating a set of complementary tools to build a robust and reliable predictive model, capable of effectively supporting ship design.
Coupled VPP / PPP Modelling
Analysis of vessel behaviour as a function of speed, hull geometry, WAPS, induced effects (heel, leeway, dynamics), appendages, and sea state.
Propulsion Simulation
Integration of engine architecture, transmission efficiency, propeller performance, and hydrodynamic resistance under varying external conditions, in order to establish the most realistic fuel consumption laws.
Machine Learning Algorithms
Use of historical operational data from vessels in service to improve the accuracy of predictions for systems under development.
Statistical Routing
Identification of optimal routes based on crew and owner constraints as well as weather conditions, with performance assessment of the vessel across a set of relevant scenarios.
benefits
Our solution NaviTools makes it possible, from the very early design phase of a vessel, to predict its real-world performance. It provides several key advantages:
01
Estimation and reduction of CO₂ emissions
02
Reduction of operating costs (OPEX)
03
Selection of the most suitable design based on the comparison of multiple configurations
see also
Artificial intelligence
Automatic qualification of the performance of a hull
Computer science
Bunkering under strict mathematical supervision
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