GNV Tests RINA’s Machine Learning and Predictive Models to Optimize Energy Use on New Vessel
GNV Tests RINA’s Machine Learning and Predictive Models to Optimize Energy Use on New Vessel

PRESS RELEASE

GNV Tests RINA’s Machine Learning and Predictive Models to Optimize Energy Use on New Vessel

 

Genoa (Italy), 18 March 2025 - GNV has chosen RINA’s SERTICA Performance for the latest addition to its fleet, the GNV Polaris, starting right away by testing the ship during its inaugural voyage from China to Italy. The tool for monitoring operational data on ships allows efficient energy consumption management and the optimization of performance. Thanks to the system, GNV has identified two optimal operating scenarios allowing for the lowest Specific Fuel Consumption, and a predictive model that serves as both a benchmark and a simulator for future operations.

This advanced system functions as a real-time data collector recording, through a network of sensors installed on board, key parameters such as fuel consumption and the power of diesel generators and engines. While its primary focus is on monitoring energy expenditure, the collected data allows for the calculation of the ship's actual efficiency, providing a comprehensive view of its operational performance to the crew onboard and the onshore management.

During the GNV Polaris’ voyage, various operational scenarios were simulated at different speeds and configurations, such as alternating the use of diesel generators and shaft generators, to identify the most efficient solutions in terms of fuel consumption. Subsequently, the operational setup for the Genoa-Palermo route was tested, verifying the consistency between the sea trial results and the forecasts. The analysis confirmed the system's accuracy, allowing for the definition of the optimal configuration to reduce fuel consumption.

The project also includes the development of predictive models using machine learning techniques. A physical model of the ship, trained with the collected data, achieved remarkable accuracy. Performance models have proven to be reliable tools for accurately estimating ship efficiency and can serve as benchmarks to assess performance degradation over time or as scenario simulators if the ship is deployed on a different route or schedule. This analysis may also indicate the need for retrofit actions, such as hull and propeller cleaning or engine maintenance.

Ivana Melillo, Energy Efficiency Director at GNV said “GNV is making significant strides in sustainable shipping with their latest initiatives. One of the most notable developments is the introduction of the GNV Polaris, the first of four new ships designed to enhance sustainability in maritime transport. The GNV Polaris boasts high environmental standards and can achieve over 30% fuel savings, resulting in a significant reduction in CO₂ emissions compared to the vessels currently in the fleet.

GNV plans to continue modernizing its fleet with more eco-friendly ships. This includes the introduction of new vessels that meet higher environmental standards, reducing emissions and improving fuel efficiency. GNV is exploring the use of alternative fuels such as liquefied natural gas (LNG) and biofuels. These fuels produce fewer emissions compared to traditional marine fuels.

We are investing in energy management systems that leverage digital technologies to optimize energy use on board its vessels. This helps in reducing emissions and improving overall sustainability.

These digitalization efforts are part of GNV's broader strategy to enhance operational efficiency, reduce environmental impact, and contribute to a more sustainable future in maritime transport.”

Lars Riisberg, Marine Digital Solutions Executive Director at RINA, said "The added value of SERTICA Performance lies in its ability to provide unparalleled data monitoring and analysis. By collecting data every five minutes and transmitting aggregates to shore, it enables detailed historical analysis. Its real-time dashboards, accessible remotely, support continuous monitoring and advanced analytics for internal assessments and fuel budget planning. A key advantage is its capability to set alerts for real-time sensor status monitoring, ensuring prompt anomaly detection. Additionally, SERTICA Performance tracks hull degradation and energy efficiency, comparing real-time performance against optimal conditions to drive informed decision-making."

Currently installed on over 800 ships, SERTICA Performance continues to expand with new implementations on vessels under construction.

Founded in 1992 and part of the MSC Group, GNV is one of the leading shipping companies operating in the cabotage and passenger transport sector worldwide. With a fleet of 25 ships, the company operates 31 routes across 7 countries, connecting Sardinia, Sicily, Spain, France, Albania, Tunisia, Morocco, and Malta.

 

RINA, leading certification and engineering company, provides a wide range of services across the Energy, Marine, Infrastructure & Mobility, Certification, Industry and Real Estate sectors. In December 2023, alongside the majority shareholder Registro Italiano Navale, Fondo Italiano d'Investimento SGR entered the shareholding structure guiding a pool of co-investors. With revenues in 2023 of 797 million euros, 5,800 employees and 200 offices in 70 countries worldwide, RINA is a member of key international organizations and an important contributor to the development of new legislative standards. www.rina.org 

 

 

Contacts

 

GNV

Fabio Leoni

Corporate Communication & Public Relations Manager

fabio.leoni@gnv.it

 

Sara Di Florio

Corporate & Internal Communication Specialist

sara.diflorio@gnv.it

 

RINA

Giulia Faravelli

Global Communication Executive Director

+39 348 6805876

giulia.faravelli@rina.org

 

Paolo Ghiggini

Global Media Relations, Social Media & Content Director

+39 340 3322618

paolo.ghiggini@rina.org

 

Victoria Silvestri  

International Media Relations Manager  

+39 334 6539600  

+44 7825 842731  

victoria.silvestri@rina.org 

 

Julie Østerberg Jakobsen  

Digital Solutions Product Marketing Manager  

+45 72141214  

+45 29720901  

julie.jakobsen@rina.org


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GNV Tests RINA’s Machine Learning and Predictive Models to Optimize Energy Use on New Vessel

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