Propulsion Analytics provides vessel and engine performance management solutions using digital twin technology. Their platform creates customized digital twins of marine engine systems based on thermo-fluid dynamic models, enabling detailed engine performance assessment. By combining engine thermodynamics with machine learning on continuous vessel operation data, they offer accurate vessel performance evaluations.
Funding
Funding not disclosed
Founders
Product
Problem
Marine vessels face challenges in maintaining optimal engine and vessel performance due to factors like hull fouling, engine degradation, and varying operational conditions. Traditional performance monitoring relies on infrequent manual measurements, lacking the real-time insights needed for proactive maintenance and fuel optimization. This results in increased fuel consumption, higher emissions, and potential for unplanned downtime.
Solution
Propulsion Analytics provides a suite of software solutions that leverage digital twin technology and machine learning to deliver real-time vessel and engine performance management. By creating customized digital twins of marine engine systems based on thermo-fluid dynamic models, the platform enables detailed engine performance assessment and fault diagnosis. The Engine Hyper Cube® software compares operational engine measurements to the digital twin, providing a detailed engine status assessment, optimization guidelines, and diagnostics of potential faults. VesselQUAD® combines propulsion engine thermodynamics with machine learning on continuous vessel and engine data to provide accurate vessel performance evaluation, fuel oil consumption prediction, and CO2 emissions intensity calculations.
Target Audience
The primary target audience includes ship owners, operators, and managers, particularly those operating LNG carriers, as well as technical and engineering teams responsible for vessel maintenance and performance optimization.
Features
- Customized digital twins of marine engine systems based on thermo-fluid dynamic models
- Engine Hyper Cube® software for detailed engine status assessment, fault diagnosis, and optimization guidelines
- VesselQUAD® application for accurate vessel performance evaluation, fuel oil consumption prediction, and CO2 emissions intensity calculations
- Continuous, real-time performance monitoring and analysis using high-frequency data from onboard sensors
- Integration with Kongsberg Digital's Vessel Insight for seamless data integration and cloud infrastructure
- Advanced diagnostics and predictive maintenance strategies to improve vessel reliability and reduce engine downtime
- Data-driven insights for flexible overhaul planning and optimized maintenance schedules
- Sensor malfunction alerting and data quality KPIs through the ADQM (Automated Data Quality Management) application