ENERGY AND OPERATIONAL EFFICIENCY
In an era of energy efficiency mandates, emissions reduction and ever increasing uncertainty of energy and carbon prices, the digital twin provides control over all efficiency parameters. It tracks actual and expected performance, helping save fuel, reduce emissions and achieve compliance.
The use of digital twin enables an operator to choose objectives and to let the platform compute an optimised route and speed profile, based on actual and predicted metocean conditions and ship precise behaviour, and recommend a combination of actions (such as engine settings, rudder angle, trim, energy mix, etc.) for real-time voyage optimisation.
AI, PHYSICS AND DATA
The digital twin is built through the assembly of models generated using artificial intelligence and augmented by data. Each model represents the physics-driven behaviour of an element of the ship.
The digital twin is an indistinguishable representation of the ship, and especially of her physics-driven behaviour, in specific conditions.
DIGITAL TWIN MODELS
Generated with AI, models are constantly fed, enriched and recalibrated by real-time operational data (IoT from connected on-board systems, operating conditions, external impactful factors, etc.)
Models included in a digital twin include:
Forces created by interaction of the hull with water, waves and swell
Propulsion forces as well as drag, heeling and leeway caused by wind
Efficiency of the engine (diesel, LNG, hydrogen…), propellers, energy consumption
Drag created by the rudder, stabilisers and other appendices
MEASURE AND IMPROVE
The digital twin sails in parallel with the actual ship, tracking actual and expected performance. It provides the maximum level of accuracy and control over all efficiency parameters. The digital twin is used any time a user - at sea, in a fleet centre or in a research lab - wishes to evaluate and predict the behaviour of the ship in a given set of conditions, or to compare actual ship response to expected behaviour.
FUEL CONSUMPTION & EMISSIONS
The digital twin sails virtually on any maritime route, applying weather and sea conditions, and computes precisely the quantity of fuel consumed by the ship during each route segment.
Syroco EfficientShip continuously monitors fuel and energy consumption and computes actual savings, in real time.
REAL-TIME VOYAGE OPTIMISATION
Syroco EfficientShip continuously monitors environmental conditions and determines the optimal configuration of the ship to operate according to set objectives, including route and speed profile. The on-board user interface provides actionable recommendations to the crew that includes course, speed, engine and propeller settings, rudder and stabilisers, trim and ballasts, etc.
For ships powered by more than one energy source, including wind assistance, Syroco EfficientShip produces an energy mix profile and device configuration based on optimal use of all propulsion devices.
MULTI-OBJECTIVE WEATHER ROUTING
Syroco EfficientShip virtually sails digital twins on a broad spectrum of routes, combining advanced space-powered weather forecasting and smart navigable routes to optimise route selection.
Analysing a Pareto front of thousands of voyage options with selectable objectives, EfficientShip delivers multi-objective optimisation with targets that include minimum fuel, just-in-time arrival, best time charter equivalent, flexible departure and arrival time windows, and more.
WIND PROPULSION TECHNOLOGIES BENCHMARKING
Syroco EfficientShip builds a digital twin of the ship (existing or projected) and adds to that twin any propulsion device that is being considered: rigid or reefable sails, inflatable or asymmetric wings, kites, rotors, aspirated profiles, etc.
Based on historic weather and sea conditions on maritime routes on which the ship is expected to operate, Syroco EfficientShip runs the digital twin in all possible configurations and operating conditions and produces advanced reports comparing the different options.
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