GTT’s Digital Company Ascenz has been approved by ExxonMobil as an Electronic Fuel Monitoring System provider after an in-depth qualification process. Ascenz’ EFMS offers state-of-the-art digital technologies (mass flow meters and other sensors, electronics, software and communication devices), all packaged in one solution to provide seamless monitoring and optimization of fuel consumption, emissions, bunkering and vessel activities, in addition to automated reporting.Thanks to the combination of expertise within GTT Digital (Ascenz, Marorka and OSE Engineering), highly innovative features leveraging strong technical knowledge and advanced Artificial Intelligence have been deployed on top of the EFMS, including a series of key improvements in the automation of the vessel’s performance management:Automatic Activity Detection performs a detailed breakdown of energy consumption using fine-tuned algorithms, without any human interaction.The Speed Optimization feature uses machine learning techniques to help the crew define the appropriate speed for the transit phase in order to minimize emissions and fuel consumption.Furthermore, the EFMS capabilities have been enhanced with shaft power meters to increase the accuracy of the monitored KPIs such as the Specific Fuel Oil Consumption.
GTT’s Digital Company Ascenz has been approved by ExxonMobil as an Electronic Fuel Monitoring System provider after an in-depth qualification process. Ascenz’ EFMS offers state-of-the-art digital technologies (mass flow meters and other sensors, electronics, software and communication devices), all packaged in one solution to provide seamless monitoring and optimization of fuel consumption, emissions, bunkering and vessel activities, in addition to automated reporting.Thanks to the combination of expertise within GTT Digital (Ascenz, Marorka and OSE Engineering), highly innovative features leveraging strong technical knowledge and advanced Artificial Intelligence have been deployed on top of the EFMS, including a series of key improvements in the automation of the vessel’s performance management:Automatic Activity Detection performs a detailed breakdown of energy consumption using fine-tuned algorithms, without any human interaction.The Speed Optimization feature uses machine learning techniques to help the crew define the appropriate speed for the transit phase in order to minimize emissions and fuel consumption.Furthermore, the EFMS capabilities have been enhanced with shaft power meters to increase the accuracy of the monitored KPIs such as the Specific Fuel Oil Consumption.
