SHIP ENERGY EFFICIENCY PLATFORM

Using a digital twin of the ship, Syroco EfficientShip optimises the route through multi-objective weather routing and provides real-time voyage optimisation to the crew. The platform improves energy efficiency of the ship, saving 10% or more in fuel and emissions.

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VOYAGE PARAMETERS DEFINITION

Prior to departure, or at any time during the crossing if constraints change, the crew defines the voyage parameters: departure and arrival ports, required waypoints, estimated time of departure and desired time of arrival (with or without a margin window). 

Constraints that apply to the voyage include on one hand the ship operating envelope and the cargo safety requirements, but also ship parameters such as draft and trim and the operating constraints (min/max power, max wave height, max wind speed, etc.).

Using these parameters, EfficientShip can compute an optimised route based on the users’ choice of objectives: minimise fuel consumption, just in time arrival, etc.

NEXT-GENERATION ROUTING

Using the voyage parameters as input and applying the selected objectives, EfficientShip computes a Pareto front of hundreds of thousands of voyage options, virtually sailing the digital twin of the ship in present and forecasted metocean conditions. 

The routing algorithms used, powered by Theyr, use artificial intelligence to select the most optimised routes. Co-evolutionary multi level selection genetic algorithms sail the digital twin on all variations of routes, using weather and sea conditions data. 

Multi-objective routing algorithms optimise for such objectives as arrival time, fuel consumption, emissions, time charter equivalent and more.

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VOYAGE OPTIMISATION

As soon as the ship sails, the digital twin sails alongside the ship on the selected routing, and computes in real-time the best operating parameters: speed, propeller settings, heading, trim, and any other applicable settings. 

The user-friendly on-board user interface provides voyage optimisation to the crew, ensuring that the ship is always in optimum configuration to reduce fuel consumption while following route and schedule. 

REAL-TIME VISIBILITY ON BOARD

The EfficientShip interface, specifically designed for use on the bridge regardless of operational conditions, displays in real time the selected route and the ship parameters for optimal fuel consumption. 

Metocean information, including current, waves, wind, atmospheric pressure and precipitations can be overlaid to the route map. A time shifting capability offers a synchronised view of future ship position and conditions. This allows the crew to understand the parameters of route selection and to analyse the impact of any decision on fuel consumption and emissions.

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REPORTS AND INDICATORS

EfficientShip collects continuously vessel operating parameters and IoT data from smart ship platforms. 

Reports delivered by the platform include:

  • Detailed voyage reports with analysis of operations and savings
  • Regulatory reporting and indicators
  • Fleet performance reports

All the data collected is available for ad-hoc analysis through Tableau.com data visualisation and analytics platform.

ACCURATE METOCEAN DATA

Through a partnership with Spire, a global provider of space-based data, analytics and services, EfficientShip has access to the most accurate observations and predictions of metocean data available. With the world’s largest constellation of 100+ multipurpose satellites that use radio occultation technology, Spire captures precise atmospheric measurements and delivers high-quality weather data to enhance forecasting accuracy.

Metocean data is used as input for virtually sailing EfficientShip’s digital twins when performing multi-objective route selection and delivering voyage optimisation advice, as well as for providing real-time visibility on conditions.

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TWIN CREATION, COMPONENTS & MODELS

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Digital twins are built through the assembly of models for each component of the ship. These physics-driven models are based on a combination of CAD design, CFD simulation, parametric equations and/or actual IoT/operational data.

Created using machine learning and big data processing, the mathematical models (also called response surfaces) are at the core of the physics solver engine of Syroco EfficientShip.

Several models are provided to get started with Syroco EfficientShip. Many more can be built, in order to address the specific aspects and components of the ship they need to represent. Models are of course reusable across multiple twins.

hullHull

  • Calm water hull model
  • Swell and sea waves hull model
  • Bulb model
  • Hull fouling model
  • Hull & cargo aero model
  • Fairing aero model
  • Ballast model

ewindWind propulsion devices

  • Rigid sail model
  • Reefable sail model
  • Inflatable wing model
  • Asymmetric wing model
  • Kite wing model
  • Flettner rotor model
  • Suction profile model

engineEngine propulsion & energy production/consumption

  • Diesel thruster model
  • LNG thruster model
  • Variable pitch propeller model
  • Boiler model
  • Hotel consumption model

appendicesAppendices

  • Rudder model
  • Stabiliser model
  • Daggerboard model

interactionInteraction

  • Ship-sail interaction model
  • Sail-sail interaction model
  • Rudder-propeller interaction model

INFORMATION REQUEST

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