Propulsion Analytics

About Propulsion Analytics

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.

```xml <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. </problem> <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. </solution> <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 </features> <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. </target_audience> <revenue_model> Propulsion Analytics generates revenue through software licensing, subscription fees for data analytics and monitoring services, and customized platform development for specific client needs. </revenue_model> ```

What does Propulsion Analytics do?

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.

Where is Propulsion Analytics located?

Propulsion Analytics is based in Piraeus, Greece.

When was Propulsion Analytics founded?

Propulsion Analytics was founded in 2014.

Location
Piraeus, Greece
Founded
2014
Employees
17 employees

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Propulsion Analytics

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Executive Summary

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.

propulsionanalytics.com2K+
Founded 2014Piraeus, Greece

Funding

No funding information available.

Team (15+)

No team information available.

Company Description

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.

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

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.

Revenue Model

Propulsion Analytics generates revenue through software licensing, subscription fees for data analytics and monitoring services, and customized platform development for specific client needs.

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