GNV and RINA: Harnessing Machine Learning to Revolutionize Maritime Efficiency
In a bold move to redefine the future of maritime operations, Italian shipping giant Grandi Navi Veloci (GNV) has teamed up with compatriot classification society RINA to deploy cutting-edge machine learning and predictive analytics on its latest vessel, the GNV Polaris. This 2024-built passenger/RoRo cargo ship is now a floating lab for optimizing energy use and slashing fuel consumption, marking a seismic shift in how the shipping industry tackles sustainability and efficiency.
During its maiden voyage from China to Italy, the GNV Polaris became the testing ground for RINA’s SERTICA Performance tool—a digital powerhouse that crunches real-time data from an onboard network of sensors. These sensors track everything from fuel consumption to engine power, creating a digital twin of the ship’s operations. The result? Two optimal operating scenarios that deliver the lowest specific fuel consumption, alongside a predictive model that acts as both a benchmark and a simulator for future voyages. It’s like having a crystal ball for maritime efficiency.
Simulating the Future: From Sea Trials to Real-World Impact
GNV didn’t just stop at data collection. The company ran a series of operational simulations, tweaking variables like speed and power configurations—such as alternating between diesel generators and shaft generators—to pinpoint the most fuel-efficient setups. These simulations weren’t just theoretical; they were put to the test on the Genoa-Palermo route, where the sea trial results aligned seamlessly with the predictive forecasts. This isn’t just optimization; it’s a glimpse into the future of smart shipping.
At the heart of this project lies machine learning, which powers the predictive models that GNV is banking on to transform its fleet. According to Ivana Melillo, GNV’s Energy Efficiency Director, the GNV Polaris is already achieving over 30% in fuel savings compared to the company’s existing vessels. That’s not just a win for the bottom line—it’s a massive leap toward reducing CO2 emissions and meeting stricter environmental standards.
Beyond Fuel: GNV’s Vision for a Greener Maritime Future
But GNV isn’t stopping at machine learning. The company is doubling down on its commitment to sustainability by exploring alternative fuels like liquefied natural gas (LNG) and biofuels, which promise fewer emissions than traditional marine fuels. Add to that their investment in advanced energy management systems, and it’s clear that GNV is building a digital-first, eco-conscious fleet for the 21st century.
“We’re not just modernizing our fleet; we’re reimagining it,” says Melillo. “By leveraging digital technologies, we’re optimizing energy use, reducing emissions, and paving the way for a more sustainable future in maritime transport.” It’s a vision that aligns perfectly with the global push toward decarbonization and smarter, more efficient operations.
