With the Propulsion Assistant module, you can monitor and optimize the efficiency of your vessel’s propulsion system, taking into account the condition of the hull, propeller, and engine. This allows you to improve fuel efficiency, reduce emissions, and enhance overall performance.
The module provides real-time data and analytics to the ship’s crew, enabling them to adjust the propulsion system and make data-driven decisions to optimize performance. By benchmarking sensor data against prediction models, the module can also advise when the hydrodynamic and thermodynamic performances of the hull and main engine are degrading.
Hydrodynamic Digital Twin
The Hydrodynamic Digital Twin is a powerful tool for improving fleet performance by leveraging the power of machine learning to create detailed hydrodynamic models of ships.
This allows for the evaluation of hull degradation due to fouling, detection of possible critical events that reduce propulsion efficiency, and prediction of future performance based on real-time data.
You can also do virtual testing of new designs and modifications, providing valuable insights for optimizing ship performance.
With the Hydrodynamic Digital Twin, you can easily identify and address issues that may be impacting the efficiency of your ships, ensuring optimal performance and reducing costs.
- Monitoring of hull, propeller, and engine efficiency
- Advanced analytics for identifying areas of improvement
- Dedicated section to build hydrodynamic model of the vessel with different techniques (Machine Learning included)
- Real-time data and analytics for the ship’s crew
- Evaluation of hull degradation due to fouling
- Detection of critical events that reduce propulsion efficiency
- Reduced fuel consumption and emissions
- Improved voyage planning
- Improved fleet performance through data-driven optimization
- Early detection of issues that could affect propulsion efficiency
- Ability to assess the impact of hull fouling on ship performance
- Increased safety and compliance with regulations.